<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="IND-NSSO-HCES-2007-v1" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Consumer Expenditure schedule 1.0 NSSO Round 64
        </titl>
        <IDNo>
          DDI-IND-NSSO-HCES-2007-v1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="NSSO" affiliation="Ministry of Statistics &amp; P.I">
          National Sample Survey Office
        </producer>
        <copyright>
          Computer Centre, Ministry of Statistics &amp; P.I ,Government of India
        </copyright>
        <prodDate date="2011-05-23">
          2011-05-23
        </prodDate>
        <software version="3.62" date="2009-03-19">
          Nesstar Explorer
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1.0
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Household Consumer Expenditure Survey, July 2007-June 2008
        </titl>
        <subTitl>
          Shedule 1: 64th Round
        </subTitl>
        <altTitl>
          HCES 2007, Shedule 1: NSS 64th Round
        </altTitl>
        <IDNo>
          IND-NSSO-HCES-2007-v1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Ministry of Statistics &amp; Programme Implementation, Govt of India">
          National Sample Survey Office,NSSO
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer abbr="NSSO" affiliation="Ministry of Statistics &amp; Programme Implementation, Govt of India">
          National Sample Survey Organization
        </producer>
        <copyright>
          (c) 2007, National Sample Survey Office of India
        </copyright>
        <software version="3.62" date="2009-03-19">
          Nesstar Explorer
        </software>
        <fundAg abbr="MOSPI">
          Ministry of Statistics &amp; Programme Implementation, Govenment of Indis
        </fundAg>
      </prodStmt>
      <distStmt>
        <distrbtr abbr="NSSO" affiliation="Ministry of Statistics &amp; P.I" URI="www.mospi.gov.in">
          National Sample Survey Organization
        </distrbtr>
        <contact affiliation="National Sample Survey Office" URI="www.mospi.gov.in" email="adg-dpdnsso@nic.in">
          Additional Director General, DPD
        </contact>
        <contact affiliation="Computer Centre" email="nssdat@gmail.com">
          Deputy Director General
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo>
          The survey is part of the 64th round of NSS conducted from 1.7.2007 to 30.6.2008. The 64th round (July 2007-June 2008) of NSS covered the subjects of 'Employment-Unemployment and Migration', 'Participation and expenditure in Education' and 'Household Consumer Expenditure'. Period of survey and work programme: The period of survey was from 1st July 2007 to 30th June 2008.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2011-05-23">
          Version 1.0
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>
          Consumer Expenditure
        </keyword>
        <keyword>
          Schedule 1.0
        </keyword>
        <keyword vocabURI="www.mospi.gov.in">
          NSSO Round 64
        </keyword>
        <topcClas vocab="Identification of State,District,Tahsil,Village,Head of Household,etc">
          Identification of sample household
        </topcClas>
        <topcClas vocab="Characterisctiscs of HH like-Hosehold size,NCO,NIC,Religion,Social, Group,MPCE,etc">
          Household Characteristics
        </topcClas>
        <topcClas vocab="Contain members detals of   household">
          Demographic and other particulars of household members
        </topcClas>
        <topcClas vocab="Consumption pattern of  food and other items in 30 days">
          Consumption of food, pan, tobacco and intoxicants during the last 30 days
        </topcClas>
        <topcClas vocab="Use of fuel for cooking,lighting and other purposes during last 30 days">
          Consumption of fuel for cooking, lighting and other purposes excluding conveyance during the last 30 days
        </topcClas>
        <topcClas vocab="Consumption of clothing, bedding, etc. during the last 365 days ">
          Consumption of clothing, bedding, etc. during the last 365 days
        </topcClas>
        <topcClas vocab="Consumption of footwear during the last 365 days ">
          Consumption of footwear during the last 365 days
        </topcClas>
        <topcClas vocab="Expediture on Education and Medical">
          Expenditure on education and medical (institutional) goods and services during the last 365 days
        </topcClas>
        <topcClas vocab="Expenditure on  miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days ">
          Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days
        </topcClas>
        <topcClas vocab="Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 ">
          Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365
        </topcClas>
      </subject>
      <abstract>
        The survey is part of the 64th round of NSS which was conducted from 1st of July 2007 to 30th of June 2008. It covered the subjects of 'Employment-Unemployment and Migration', 'Participation and expenditure in Education' and 'Household Consumer Expenditure'. The survey period was divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008 In each of these four sub-rounds equal number of sample villages/ blocks (FSUs) was covered to ensuring uniform spread of sample FSUs over the entire survey period. Household Consumer Expenditure. The 64th round survey is the nineteenth in the annual series of surveys of household consumer expenditure. Household consumer expenditure was measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. Expenditure Approach For items of consumption other than food, pan, tobacco, intoxicants, clothing, bedding, footwear, and fuel for cooking and lighting, the expenditure approach followed to identify the consuming household and the time at which consumption takes place. medical, rents and taxes) in last 30 days.
      </abstract>
      <sumDscr>
        <timePrd date="2007-07-01" event="start"/>
        <timePrd date="2008-06-30" event="end"/>
        <collDate date="2007-07-01" event="start"/>
        <collDate date="2008-06-30" event="end"/>
        <nation abbr="IND">
          India
        </nation>
        <geogCover>
          The surveyl covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu &amp; Kashmir (for central sample), (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year
        </geogCover>
        <anlyUnit>
          Household and individual
        </anlyUnit>
        <universe>
          Households and members of the households of whole Indian Teritory.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <timeMeth>
          July 2007-June 2008
        </timeMeth>
        <dataCollector abbr="FOD" affiliation="Ministry of Statistics and Programme Implementation">
          Field Operation Division
        </dataCollector>
        <sampProc>
          <![CDATA[Sample Design Outline of sample design: A stratified multi-stage design was adopted for the 64th round survey. The first stage units (FSU) were 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. However, for the newly declared towns and out growths (OGs) in census 2001 for which UFS had not been done, each individual town/ OG had been considered as an FSU. The ultimate stage units (USU) was households in both the sectors. In case of large FSUs i.e. villages/ towns/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU. 

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (Panchayat wards for Kerala) constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks and for non-UFS towns list of such towns/ OGs were considered as the sampling frame. Stratification: Within each district of a State/ UT, generally speaking, two basic strata was formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum. For a few districts, particularly in case of Tamil Nadu, if total number of towns in the district for which UFS is not done exceeds certain number, all such towns taken together to form another basic stratum. Otherwise, merged with the UFS towns for stratification. 

Total sample size (FSUs): 12688 FSUs for central sample and 13624 FSUs for state sample had been allocated at all-India level. Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To make the definition of household consumption operational, clear guidelines are needed not only on what is included in household consumer expenditure and what is excluded, but also on (a) the identification of the household performing each act of consumption (b) the assigning of a time to of each act of consumption. Only then can one attempt to record the consumption of a household H within a reference period P. It has been found convenient to assign different meanings of the word “consumption” (and hence different approaches to its measurement) for different categories of consumption items.
        </resInstru>
        <sources/>
        <collSitu>
          National Sample Survey Office
        </collSitu>
        <weight>
          Weights (or multipliers) are given at the end of each record from 127th byte onwards. The weights (multipliers) are Sub-sample-wise, details of which are as given below : (For description of subsample, please see Instructions Manual for fiels staff, Vol-I) subsample-wise weights (multipliers) ---------------------------------------- NSS = Bytes 127-129 (3 bytes) NSC = Bytes 130-132 (3 bytes) MLT = Bytes 133-142 (10 bytes) ----------------------------------------- All records of a household /enterprise will have same weight figure. In case of those Blocks/Levels, where Item/Person Sl.No. is not applicable the field is filled up with 00000. In the value fields (Rs. or Quantity or Area etc.) only the numeric figure is given in datafile. The decimal point is to be assumed after looking at the type of that field in the printed schedule. Use of subsample-wise weights (multipliers) ---------------------------------------------------------------- For generating subsample-wise estimates based on data of all subrounds taken together, either Subsample-1 households /enterpeises or Subsample-2 households /enterprises are to be considered at one time. Subsample code is available in the data file. (Please see layout of data). Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise
        </weight>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <contact affiliation="Ministry of Statistics &amp; P.I, New Delhi" URI="www.mospi.nic.in" email="cc-mospi.nic.in">
          National Sample Survey Office
        </contact>
        <citReq>
          National Sample Survey Office of Inida, Household Consumer Expenditure Survey, July 2007-June 2008, Shedule 1: 64th Round, provided by NSSO, Kolkata.
        </citReq>
        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format. The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
        </conditions>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=0&amp;Name=Identification of Sample Household">
    <fileTxt>
      <fileName>
        Identification of Sample Household.NSDstat
      </fileName>
      <fileCont>
        Descriptive identification of sample household: It is meant for recording descriptive identification particulars of a sample household.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          34
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=1&amp;Name=Household Characteristics">
    <fileTxt>
      <fileName>
        Household Characteristics.NSDstat
      </fileName>
      <fileCont>
        Household characteristics: Characteristics which are mainly intended to be used to classify the households
      </fileCont>
      <fileStrc type="relational">
        <recGrp keyvar="V35"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          43
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F3" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=2&amp;Name=Demographic and other particulars of household members">
    <fileTxt>
      <fileName>
        Demographic and other particulars of household members.NSDstat
      </fileName>
      <fileCont>
        Demographic and other particulars of household members: All members of the sample household will be listed in this block. For each member, name, relation to head, sex, age, marital status, general education level, and particulars of meals consumed will be recorded.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          40
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F4" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=3&amp;Name=Consumption of food, pan, tobacco , intoxicants and fuel during the last 30 days">
    <fileTxt>
      <fileName>
        Consumption of food, pan, tobacco , intoxicants and fuel during the last 30 days.NSDstat
      </fileName>
      <fileCont>
        Consumption of food, pan, tobacco and intoxicants during the last 30 days:Information on consumption of each item of cereals, pulses, milk, sugar and salt by the household will be collected for a reference period of 30 days preceding the date of survey.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
    <notes>
      Consumption of food, pan, tobacco and intoxicants during the last 30 days: In this block information on consumption of each item of cereals, pulses, milk, sugar and salt by the household will be collected for a reference period of 30 days preceding the date of survey.
    </notes>
  </fileDscr>
  <fileDscr ID="F5" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=4&amp;Name=Consumption of clothing, bedding and footwear during the last 365 days">
    <fileTxt>
      <fileName>
        Consumption of clothing, bedding and footwear during the last 365 days.NSDstat
      </fileName>
      <fileCont>
        Consumption expenditure on clothing, bedding, etc. during the last 365 days: Information of quantity and value of consumption of all items of clothing,bedding and footwear collected during the last 365 days .
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          29
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F6" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=5&amp;Name=Expenditure on education , medical (institutional) goods and services during the last 365 days and expenditutre on miscellaneous goods and services including, rents and taxes during the last 30 days">
    <fileTxt>
      <fileName>
        Expenditure on education , medical (institutional) goods and services during the last 365 days and expenditutre on miscellaneous goods and services including, rents and taxes during the last 30 days.NSDstat
      </fileName>
      <fileCont>
        1. Expenditure on education and medical (institutional) goods and services during the last 365 days :Information collected on educational and institutional medical expenses incurred during the last 365 days preceding the date of survey. The institutional category includes payments made for goods and services availed of as an inpatient in both private as well as Government medical institutions like nursing homes, hospitals, etc. 2. Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days: Information e collected on the expenditure for purchase of miscellaneous goods and services during the last 30 days prior to the date of survey. If some goods are purchased for gift or transfer, it is to be accounted against the payer household and not against the recipient household.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F7" URI="IND-NSSO-HCES-2007-v1.Nesstar?Index=6&amp;Name=Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365">
    <fileTxt>
      <fileName>
        Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365.NSDstat
      </fileName>
      <fileCont>
        Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days: Information on expenditure incurred for purchase and cost of raw materials and services for construction and repairs of durable goods for domestic use collected for the last 365 days. Expenditure will include both cash and kind. Purchase will include both first-hand and second-hand purchase and will be recorded in separate columns . A purchase will qualify for consideration only if some expenditure - whether in cash or kind or both - is incurred towards the purchase during the reference period. Expenditure incurred on purchase of durable goods for gifts or transfer is to be included in the giver household and not against the recipient household. In case of credit purchase or hire-purchase of any item , the actual expenditure made during the reference period.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          35
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      </dimensns>
      <fileType>
        Nesstar 200801
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    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject"/>
    <var ID="V1" name="HH_ID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <concept vocab="DD ID">
        Household Identification
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="Centre_code" files="F1" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Centre Code
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="FSUno" files="F1" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        first stage units
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey
      </txt>
      <concept vocab="FSU">
        first stage unit
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="Round" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Schedule_No" files="F1" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given for the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <ivuInstr>
          code Sector Name --------------------------- 1 Rural 2 Urban
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1-Rural and 2-Urban
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="State" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          code State Name --------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Region" files="F1" intrvl="discrete">
      <location StartPos="27" EndPos="29" width="3" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <qstn>
        <ivuInstr>
          code Region Name ------------------------------- 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="District" files="F1" intrvl="discrete">
      <location StartPos="32" EndPos="36" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name -------------------------- 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="Sub_Stratum" files="F1" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        Sub_Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="Sub_Round" files="F1" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Sub_Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="Sub_Sample" files="F1" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Sub_Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide an independent estimate
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="FOD_Region" files="F1" intrvl="discrete">
      <location StartPos="43" EndPos="45" width="3" RecSegNo="1"/>
      <labl>
        FOD_Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="FOD_Sub_Region" files="F1" intrvl="discrete">
      <location StartPos="46" EndPos="49" width="4" RecSegNo="1"/>
      <labl>
        FOD_Sub_Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="hg_sb_No" files="F1" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Hamlet
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3 900 to 1199 4 1200 to 1499 5 .………..and so on
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="Second_Stage_Stratum" files="F1" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Second_Stage_Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V19" name="HHS_No" files="F1" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V20" name="Level" files="F1" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V21" name="Filler" files="F1" intrvl="discrete">
      <location StartPos="56" EndPos="60" width="5" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="SlNo_of_informant" files="F1" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Serial Number of informant
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The srl. no. of the person recorded . Information has to be collected from one of the household members. In an extreme case, information may be collected from a person other than the household member who is supposed to know all the requisite information. In such a case, '99' should be recorded against this item.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="Response_Code" files="F1" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Response_Code
      </labl>
      <qstn>
        <ivuInstr>
          informant: co-operative and capable………. 1 co-operative but not capable……. 2 busy……………. 3 reluctant……… 4 others…………. 9
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is meant to classify the informant according to the degree of his co-operation as well as his capability to provide the required information.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informant: co-oprative and capable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          co-operative but not capable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          busy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          reluctant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Survey_Code
      </labl>
      <qstn>
        <ivuInstr>
          Whether the originally selected sample household has been surveyed or a substituted household has been surveyed will be indicated against this item by recording '1', if the sample household is the one originally selected, and '2', if it is a substituted household. If neither the originally selected household nor the substituted household could be surveyed i.e., if the sample household is a casualty, code '3' will be recorded. In such cases only blocks 0, 1, 2, 14 and 15 will be filled in and on the top of the front page of the schedule the word 'CASUALTY' will be written and underlined
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Whether the originally selected sample household has been surveyed or a substituted household has been surveyed
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Original
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Substitute
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          casualty
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="Substitution_Code" files="F1" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Substitution_Code
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: informant busy ...................................................1 members away from home .................................2 informant non-cooperative .................................3 others ...................................................... ...........9 This item is applicable only if the entry against survey code is either 2 or 3. Otherwise, this item is to be left blank.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        reason for first substitution of original household (code): In case the originally selected sample household could not be surveyed, the reason for not surveying the original household will be recorded against this item, irrespective of whether a substituted household could be surveyed or not.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          member away from home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="Date_of_Survey" files="F1" intrvl="discrete">
      <location StartPos="66" EndPos="71" width="6" RecSegNo="1"/>
      <labl>
        Date_of_Survey
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="Date_of_Despatch" files="F1" intrvl="discrete">
      <location StartPos="72" EndPos="77" width="6" RecSegNo="1"/>
      <labl>
        Date_of_Survey
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="Time_to_canvass_mins" files="F1" intrvl="discrete">
      <location StartPos="78" EndPos="80" width="3" RecSegNo="1"/>
      <labl>
        Time_to_canvass_mins
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V29" name="OK_stamp" files="F1" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        OK Stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="Blank" files="F1" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V31" name="nss" files="F1" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="nsc" files="F1" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="mlt" files="F1" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        posted multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="multiplier" files="F1" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="101" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Calculated multiplier Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="HH_ID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="Centre_code" files="F2" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre_code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Centre Code
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="FSUno" files="F2" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        first stage units
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="Round" files="F2" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="Schedule_Number" files="F2" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        Schedule_Number 1.0
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given for the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V40" name="Sample" files="F2" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <ivuInstr>
          1 Rural 2 Urban
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V42" name="State" files="F2" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code State Name ----------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V43" name="State_Region" files="F2" intrvl="discrete">
      <location StartPos="27" EndPos="29" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name ---------------------------- 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is a sub-division of state
      </txt>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="District" files="F2" intrvl="discrete">
      <location StartPos="30" EndPos="34" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name ----------------------------- 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="Sub_Stratum" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Sub_Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="Sub_Round" files="F2" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Sub_Round
      </labl>
      <qstn>
        <ivuInstr>
          The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: 1 sub-round 1 2 sub-round 2 3 sub-round 3 4 sub-round 4
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V48" name="Sub_Sample" files="F2" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Sub_Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide an independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V49" name="FOD_Sub_Region" files="F2" intrvl="discrete">
      <location StartPos="41" EndPos="44" width="4" RecSegNo="1"/>
      <labl>
        FOD_Sub_Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V50" name="hg_sb_No" files="F2" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="Second_Stage_Stratum" files="F2" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Second_Stage_Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="HHS_No" files="F2" intrvl="discrete">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        HHS_No
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="Level" files="F2" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="Filler" files="F2" intrvl="discrete">
      <location StartPos="51" EndPos="55" width="5" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="HH_Size" files="F2" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        HH_Size
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="38"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stay-aways and excluding temporary visitors.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          04
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          03
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          02
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          06
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          05
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          09
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          01
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="NIC_2004_Code" files="F2" intrvl="discrete">
      <location StartPos="58" EndPos="62" width="5" RecSegNo="1"/>
      <labl>
        NIC_2004_Code
      </labl>
      <qstn>
        <ivuInstr>
          01111 Growing of food grain crops (cereals and pulses) 01112 Growing of oilseeds including peanuts or soya beans 01113 Growing of cotton and other vegetable textile fibre plants (Includes growing of plant materials for plaiting, padding or stuffing or brushes or brooms) 01114 Growing of tobacco, including its preliminary processing 01115 Growing of sugarcane or sugar beet 01116 Growing of rubber trees; harvesting of latex and treatment on the plantation of the 01117 liquid latex for the purpose of transport or preservation Growing of plants used chiefly in pharmacy or for insecticide, fungicidal or similar purposes ( Includes growing of opium and ganja) 01118 Growing of Hina leaves [Mehandi] 01119 Growing of other crops, n.e.c. (Includes growing of potatoes, yams, sweet potatoes or cassava; hop cones, chicory roots or roots and tubers with a high starch or inulin content; growing of seeds of a kind used for sowing, growing of forage plants includin 01121 Growing, in the open or under cover, of vegetables 01122 Growing of vegetables; un-rooted cuttings or slips; bulbs, tubers, tuberous roots, corns or crowns. Also includes growing of flowers or flower buds 01131 Growing of coffee or cocoa beans 01132 Growing of tea or mate leaves including the activities of tea factories associated with tea plantations. (Processing by independent units is classified under class 1549 01133 Growing of edible nuts including coconuts 01134 Growing of fruit: citrus, tropical pome or stone fruit; small fruit such as berries; other fruit such as avocados, grapes, dates or bread fruit etc. (Manufacture of wine, when done at the same location where the grapes are grown is included, by exception) 01135 Growing of spice crops including: spice leaves (e.g. bay, thyme, basil); spice seeds (e.g. anise, coriander, cumin); spice cloves); or other spices (e.g. nutmeg, ginger). Also includes growing of betel leaves.flowers (e.g. cinnamon); spice fruit 01136 Gathering of berries or nuts etc. 01139 Growing of fruit, nuts, beverage and spice crops, n.e.c. 01211 Cattle (including yak and buffalo) breeding, rearing and ranching etc.; production of raw milk and bovine semen (Production of butter, cheese and other dairy products as secondary activity does not change the classification of the unit) 01212 Rearing of goats, production of milk 01213 Rearing of sheep; production of shorn wool 01214 Rearing of horses, camels, mules and other pack animals. 01221 Raising of pigs and swine 01222 Raising of poultry (including broiler) and other domesticated birds; production of eggs and operation of poultry hatcheries 01223 Raising of bees; production of honey 01224 Raising of silk worms; production of silk worm cocoons (production of raw silk is classified under class 1711) 01225 Farming of rabbits including angora rabbits 01229 Other animal farming; production of animal products n.e.c. (Includes: raising in captivity of semi domesticated or wild live animals including birds and reptiles, operation of worm farms, land mollusc farms, frog farms etc.) 01300 Growing of crops combined with farming of animals (mixed farming). [This class includes crop growing in combination with farming of animals such as sheep or meat cattle at mixed activity units with specialisation ratio in either one of less than 66 percen 01401 Operation of irrigation systems 01402 Soil conservation services, including soil testing and soil desalination services. 01403 Activities establishing a crop, promoting its growth or protecting it from disease and insects. Transplantation of rice in rice fields. Horticultural and nursery services. 01404 Harvesting and activities related to harvesting, such as preparation of crop by cleaning, trimming, grading, drying, decorticating, retting, cooling or bulk 01405 packaging. Includes cotton picking Cotton ginning, cleaning and baling 01406 Renting of agricultura l machinery with operators 01407 Activities to promote propagation, growth and output of animals and to obtain animal products: artificial insemination, herd testing, poultry caponizing, coop cleaning, dung gathering etc. Sheep dipping and shearing, egg cleaning and 01408 grading, animal skinning and related activities. (Veterinary services are classified under class 8520) Gardening activities 01409 Other agricultural and animal husbandry service activities, n.e.c. 01500 Hunting, trapping and game propagation including related service activities 02001 Growing of standing timber: planting, replanting, transplanting, thinning and conserving of forests and timber tracts. Operation of tree nurseries. 02002 Logging: logging camps and loggers primarily engaged in felling timber and ties or fuel wood. 02003 Gathering of tendu leaves 02004 Gathering of other wild growing forest materials (balatta and other rubber-like gums; cork; lac, resins and balsams; vegetable hair and eel grass; acorns and horse-chestnuts; mosses etc.) including fuel/fire wood. 02005 Forestry service activities: timber cruising, timber evaluation, fire fighting and forest management including afforestation and re-forestation 02006 Logging service activities: transport of logs in association with logging chiefly within the forest. 05011 Fishing on commercial basis in ocean, sea and coastal areas 05012 Fishing on commercial basis in inland waters. 05021 Gathering of marine materials such as natural pearls, sponges, coral and algae. 05022 Fish farming, breading and rearing including operations of hatcheries for fin and shell fish, molluscs, acquatic plants and cultivation of oysters for pearls or food. 05023 Service activities related to marine and fresh water fisheries and to operators of fish hatcheries or fish farms 10101 Open cut (strip) mining of coal 10102 Underground mining of coal 10103 Cleaning, sizing and pulverizing of coal 10104 Manufacture of brickade or other solid fuels containing chiefly coal 10109 Other activities relating to mining and agglomeration of hard coal 10201 Mining and agglomeration of lignite from open cut mines 10202 Mining and agglomeration of lignite from underground 10203 Cleaning, sizing and pulverizing of lignite 10204 Manufacture of brickade or other solid fuels containing chiefly lignite 10209 Other operations relating to mining and agglomeration of lignite 10300 Extraction and agglomeration of peat [incl. digging of peat] 11101 Off shore extraction of petroleum 11102 On shore extraction of petroleum 11103 Off shore extraction of natural gas 11104 On shore ext raction of natural gas 11201 Services incidental to off shore oil extraction 11202 Services incidental to on shore oil extraction 11203 Services incidental to off shore gas extraction 11204 Services incidental to on shore gas extraction 12000 Mining of uranium and thorium ores (e.g. pitchblende), including concentrating of such ores 13100 Mining of iron ores [includes mining of hematite, magnetite, limonite, siderite or taconite etc. which are valued chiefly for iron content. Production of sintered iron ores is also included] 13201 Mining of manganese ore 13202 Mining of chromium ores 13203 Mining of aluminium ores (bauxite) 13204 Mining of precious metal ores (gold) 13205 Mining of copper ores 13206 Mining of lead and zinc ores 13209 Mining of other non-ferrous metal ores, n.e.c. [titanium ( ilmenite and rutile) , niobium, tantalum, vanadium or zirconium ores; tin bearing ores; and, nickel, cobalt, tungsten, molybdenum, antimony and other non-ferrous metal ores] 14101 Quarrying of marble 14102 Quarrying of granite 14103 Quarrying of slate and building and monumental stone other than marble and granite 14104 Mining of dolomite 14105 Mining of gypsum including selenite 14106 Operation of sand or gravel pits, basalt / porphyry, clay (ordinary ) , crushing and breaking of stone for use as a flux or raw material in lime or cement manufacture or as building material, road metal or ballast and other materials for construction. 14107 Mining/quarrying of limestone, limeshell, ‘kankar’ and other calcareous minerals including calcite, chalk and shale. 14108 Mining of clays (kaolin, ball clay, wollastonite, bentonite, fuller’s earth, fire clay 14109 Mining of refractory non-clay minerals (andalusite, kyanite, sillimanite, dunite diaspore, magnesite and pyrophyllite). 14211 Mining of native sulphur or pyrites and pyrrhotites valued chiefly for sulphur 14212 Mining of natural phosphate including apatite minerals. 14213 Mining of earth colours (ochre including red oxide). 14214 Mining of fluorspar 14215 Mining of barytes 14219 Mining of potash bearing salts/minerals; borate minerals and other fertiliser and chemical minerals n.e.c. 14221 Salt mining, quarrying, screening etc. 14222 Production of Salt by evaporating of pans 14291 Mining of gemstones (agate, diamond, emerald, garnet (gem), jasper, rubby/ 14292 saphire etc. Mining and quarrying of abrasive materials (pumice stone, emery, corundum, garnet and other natural abrasives) 14293 Mining of mica 14294 Mining of natural graphite 14295 Mining of asbestos 14296 Mining of vermiculite, perlite and chlorites 14297 Mining of felspar and silica minerals including quartz, quartzite and fuch. 14298 quartzite. Mining of talc/ steatite 14299 Mining of laterite, diatomite and silicious fossil meals (e.g. diatomite); and other natural fluxes; natural asphalt or bitumen and other mining, not elsewhere classified 15111 Mutton-slaughtering, preparation 15112 Beef-slaughtering, preparation 15113 Pork-slaughtering, preparation 15114 Poultry and other slaughtering, preparation 15115 Preservation of meat except by canning 15116 Processing and canning of meat 15117 Rendering and refining of lard and other edible animal fats 15118 Production of flours and meals of meat and meat offals 15119 Production, processing and preserving of other meat, meat products, n.e.c. 15121 Sun-drying of fish 15122 Artificial dehydration of fish and sea food 15123 Radiation preservation of fish and similar food 15124 Processing and canning of fish 15125 Manufacturing of fish meal 15126 Processing and canning of frog legs 15127 Processing and preserving of fish crustacean and similar foods 15129 Processing &amp; preserving of other fish and fish products, n.e.c. 15131 Sun-drying of fruit and vegetables 15132 Artificial dehydration of fruit and vegetables 15133 Radiation preservation of fruit and vegetables 15134 Manufacturing of fruit/vegetable juices and their concentrates, squashes and powder 15135 Manufacturing of fruit/vegetable juices and their concentrates, squashes and powder Manufacture of sauces, jams, jellies and marmalades 15136 Manufacture of pickles, chutneys, murabbas etc. 15137 Canning of fruit and vegetables 15138 Manufacture of potato flour &amp; meals and prepared meals of vegetables 15139 Fruit and vegetables preservation n.e.c. (including preservation by freezing and roasting of nuts. ) 15141 Manufacture of hydrogenated oils and vanaspati ghee etc. 15142 Manufacture of vegetable oils and fats (excluding corn oil) 15143 Manufacture of vegetable oils and fats through solvent extraction process 15144 Manufacture of animal oils and fats (Rendering and refining of lard and other animal fats are classified in Class 1511] 15145 Manufacture of fish oil 15146 Manufacture of cakes &amp; meals incl. residual products, e.g. Oleostearin, Palmstearin 15147 Manufacture of non-defatted flour or meals of oilseeds, oilnuts or kernels 15149 Manufacture of other vegetables and animal oil &amp; fats, n.e.c. 15201 Manufacture of milk powder, ice-milk foods 15202 Manufacture of baby milk foods 15203 Manufacture of butter, cream, ghee, cheese and khoya etc. 15204 ?Manufacture of pasteurised milk whether or not in bottles/ polythene packs etc. (plain or flavoured) 15205 Manufacture of pasteurised milk whether or not in bottles/ polythene packs etc. (plain or flavoured) Manufacture of ice-cream and kulfi etc. 15209 Manufacture of other dairy products, n.e.c. 15311 Flour milling 15312 Rice milling 15313 Dal milling 15314 Processing and grinding of grain other than floor, rice &amp; dal 15315 Vegetable milling, flour or meal of dried leguminous vegetables of roots or tubers or of edible nuts 15316 Manufacture of breakfast foods obtained by roasting or swelling cereal grains 15317 ?Manufacture of prepared, blended flour, wet flour for food preparation and dough for bread, cake, etc. 15318 Manufacture of prepared, blended flour, wet flour for food preparation and dough for bread, cake, etc. Manufacture of other readymade mixed powders like idli, gulabjamun etc. 15319 Other grain milling and processing activities like manufacturing of poha/ muri etc, n.e.c. 15321 Manufacture of starch 15322 Manufacture of sago and sago products 15323 Manufacture of glucose &amp; glucose syrup, maltose 15324 Manufacture of gluten 15325 Manufacture of tapioca substitutes prepared from starch 15326 Manufacture of corn oil 15329 Manufacture of other starch products n.e.c. 15331 Manufacture of cattle feed 15332 Manufacture of poultry feed 15339 Manufacture of other animal and bird feed 15411 Bread ma king 15412 Manufacture of biscuits, cakes and pastries 15419 Manufacture of other bakery products n.e.c. 15421 Manufacture and refining of sugar (vacuum pan sugar factories) 15422 Manufacture of 'gur’from sugar cane 15423 Manufacture of 'gur’from other than sugar cane 15424 Manufacture of 'khandsari’ sugar from sugar cane 15425 Manufacture of 'khandsari’ sugar other than from sugar cane 15426 Manufacture of 'boora’ and candy from sugar cane 15427 Manufacture of 'boora’and candy other than from sugar cane 15428 Manufacture of molasses 15429 Manufacture of other indigenous sugar cane/sugar beet/palm juice products n.e.c. 15431 Manufacture of cocoa products 15432 Manufacture of sugar confectionery (except sweetmeats) 15433 Manufacture of sweetmeats 15434 Manufacture of chewing gum 15435 Preserving in sugar of fruits, nuts, fruit peals and other parts of plants 15439 Other activities relating to manufacture of cocoa, chocolate and sugar confectionery n.e.c. 15440 Manufacture of macaroni, noodles, couscous and similar farinaceous products 15491 Processing and blending of tea including manufacture of instant tea (activities of 15492 tea factories associated with tea plantations are classified in class 0113) Coffee curing, roasting, grinding and blending etc. including manufacture of instant coffee, chicory and other coffee substitutes, essence of concentrates of coffee. 15493 Processing of edible nuts 15494 Manufacture of malted foods including food for infants and invalids 15495 Grinding and processing of spices 15496 Manufacture of papads appalam and similar food products 15497 Manufacture of vitaminised high protein flour, frying of dals &amp; other cereals 15499 Other semi-processed, processed or instant foods n.e.c. except farinaceous products and malted foods and manufacturing activities like manufacture of egg powder, sambar powder etc. (this excludes the activities covered under 15319) 15511 Manufacture of country liquor 15519 Distilling, rectifying and blending of spirits; ethyl alcohol production from fermented materials n.e.c. (other than soft drinks, mineral water &amp; wine) 15520 Manufacture of wines 15531 Manufacture of beer 15532 Manufacture of malt liquors other than beer 15533 Manufacture of malt liquors other than beer Manufacture of malt 15539 Manufacture of malt liquors and malt n.e.c. 15541 Manufacture of aerated drinks 15542 Manufacture of synthetic flavored concentrates and syrups 15543 Manufacture of mineral water 15544 Manufacture of Ice. 15545 Manufacture of soft drinks 15549 Manufacture of other non-alcoholic beverages n.e.c. 16001 Tobacco stemming, redrying etc. of tobacco leaf. 16002 Manufacture of bidi 16003 Manufacture of cigarette and cigarette tobacco 16004 Manufacture of cigars and cheroots 16005 Manufacture of snuff 16006 Manufacture of 'zarda’ 16007 Manufacture of catechu(katha) and chewing lime 16008 Manufacture of pan masala and related products. 16009 Manufacture of other tobacco products including chewing tobacco n.e.c. 17111 Preparation and spinning of cotton fiber including blended* cotton (please note: ginning/pressing, baling activities are included in Class 0140). 17112 Preparation and spinning of silk fiber including blended* silk. 17113 Preparation and spinning of wool, including other animal hair and blended* wool including other animal hair. 17114 Preparation and spinning of man-made fiber including blended* man-made fiber. 17115 Weaving, manufacture of cotton and cotton mixture fabrics. 17116 Weaving, manufacture of silk and silk mixture fabrics. 17117 Weaving, manufacture of wool and wool mixture fabrics. 17118 Weaving, manufacturing of man-made fiber and man-made mixture fabrics. 17119 Preparation, spinning and weaving of jute, mesta and other natural fibers including blended natural fibers n.e.c. 17121 Finishing of cotton and blended cotton textiles. 17122 Finishing of silk and blended silk textiles. 17123 Finishing of wool and blended wool textiles. 17124 Finishing of man-made and blended man-made textiles. 17125 Finishing of jute, mesta and other vegetable textiles fabrics. 17126 Activity related to screen printing 17129 Other activities relating to finishing of textile n.e.c. 17131 Cotton spinning through charkha 17132 Weaving of cotton khadi 17133 Weaving of cotton textiles on handlooms 17134 Spinning of wool and silk through charkha 17135 Weaving of woollen and silk khadi 17136 Weaving of wool and silk on handlooms 17137 Weaving of artificial/synthetic textile fabrics on handlooms 17139 Preparation and spinning of textile fibre including weaving of textiles (khadi/handloom), n.e.c 17141 Bleaching, dyeing and finishing of cotton cloth and yarn by hand 17142 Printing of cloth by hand 17143 Bleaching, dyeing and finishing of woollen textiles by hand 17144 Bleaching, dyeing, printing and finishing of silk textiles by hand 17145 Bleaching, dyeing, printing and finishing of artificial/synthetic textile fabrics by hand 17149 Finishing of textiles (khadi/handloom), n.e.c. 17211 Manufacture of curtains, bed-covers and furnishings. 17212 Manufacture of crocheted made up textile goods, except apparel 17213 Manufacture of mosquito nets 17214 Manufacture of bedding, quilts, pillows, cushions and sleeping bags (manufacture of coir foam mattresses and pillows is classified in class 3610) 17215 Manufacture of tarpaulin 17219 Manufacture of other made up textile goods except apparel n.e.c. 17221 Manufacture of blankets shawls 17222 Manufacture of cotton carpets 17223 Manufacture of woollen carpets 17224 Manufacture of silk carpets 17225 Manufacture of durries, druggets and rugs 17226 Manufacture of carpets, rugs and other covering of jute, mesta and coir 17229 Manufacture of other floor coverings (including felt) of textile, sannhemp and other kindred fibres n.e.c. 17231 Manufacture of thread, including thread ball making 17232 Manufacture of jute/hemp rope and cordage 17233 Manufacture of coir rope and cordage 17234 Manufacture of other rope and cordage other of jute/mesta and coir 17235 Manufacture of nets(except mosquito net) 17236 Manufacture of tapes, newar and wicks 17239 Manufacture of other cordage, rope nets etc n.e.c. 17241 Embroidery work by hand 17242 Zari work by hand 17243 Making of laces and fringes by hand 17249 Makin 17251 Manufacture of blankets and shawls by hand 17252 Manufacture of cotton carpets by hand 17253 Manufacture of woollen carpets by hand 17254 Manufacture of silk carpets by hand 17255 Manufacture of durries, druggets and rugs by hand 17259 Manufacture of blankets, shawls, carpets, rugs and other similar textile products by hand, n.e.c. 17291 Embroidery work and making of laces and fringes other than by hand 17292 Zari work and making of other ornamental trimmings other than by hand 17293 Manufacture of linoleum and similar products 17294 Manufacture of gas mantles 17295 Manufacture of made-up canvas goods such as tents and sails etc. 17296 Manufacture of wadding of textile materials and articles of wadding such as sanitary towels and tampons 17297 Manufacture of metallised yarn or gimped yarn; rubber thread or cord covered with textile material; Textile yarn or strip, impregnated, covered or sheathed with rubber or plastics 17298 Manufacture of waterproof textile excluding Tarpaulin. 17299 Manufacture of other textiles/textile products n.e.c. 17301 Manufacture of knitted and crocheted cotton textile products 17302 Manufacture of knitted and crocheted woolen textile products 17303 Manufacture of knitted and crocheted synthetic textile products 17309 Manufacture of knitted and crocheted textile products n.e.c. 18101 Manufacture of all types of textile garments and clothing accessories 18102 Manufacture of rain coats of waterproof textile fabrics or plastic sheetings 18103 Manufacture of hats and caps from waterproof 18104 Manufacture of wearing apparel of leather and substitutes of leather 18105 Custom Tailoring 18109 Manufacture of wearing apparel n.e.c. 18201 Scraping, curying, tanning, bleaching and dyeing of fur and other pelts for the trade 18202 Manufacture of wearing apparel of fur and pelts 18203 Manufacture of fur and skin rugs and other similar articles 18204 Embroidering and embossing of leather articles 18205 Stuffing of animals’ and birds’ hides 18209 Manufacture of other leather and fur products n.e.c. 19111 Flaying and curing of raw hides and skins 19112 Tanning and finishing of sole leather 19113 Tanning and finishing of industrial leather 19114 Vegetable tanning of light leather 19115 Crome tanning of leather 19116 Finishing of upper leather, lining leather and garment leather etc. 19119 Other tanning, curing, finishing, embossing and japanning of leather n.e.c. 19121 Manufacture of travel goods like suitcases, bags and holdalls etc. 19122 Manufacture of purses and other ladies’handbags, artistic leather presented articles and novelties etc. 19123 Manufacture of saddlery and harness 19129 Manufacture of other consumer goods of leather and substitutes of leather, n.e.c. 19201 Manufacture of footwear (excluding repair) except of vulcalized or moulded rubber or plastic. This class includes manufacture of leather shoes, leather sandals and chappals, leather-cum-rubber/plastic cloth sandals and chappals made by and or by any proc 19202 Manufacture of footwear made primarily of vulcalized or moulded rubber and plastic. This class includes manufacture of rubber footwear, plastic &amp; PVC, canvas -cum-rubber/plastic footwear etc. including sports footwear. 19209 Manufacture of other footwear n.e.c. 20101 Sawing and planing of wood (other than plywood) 20102 Manufacture of unassembled wood flooring, including parquet flooring 20103 Manufacture of railway sleepers 20109 Activities relating to saw milling and planning of wood n.e.c. 20211 Manufacture of plywood and veneer sheets 20212 Manufacture of flush doors and other boards or panels 20213 Manufacture of particle board, fiber board, incl. Densified wood 20219 Manufacture of other plywood products n.e.c. 20221 Manufacture of structural wooden goods (including posts, doors and windows (excluding hewing and rough shaping of poles, bolts and other wood material which is classified under logging) 20222 Manufacture of prefabricated buildings predominantly of wood. 20229 Manufacture of builder’s carpentary and joinery n.e.c. 20231 Manufacture of wooden boxes, barrels etc. (except plywood) 20232 Manufacture of plywood chests 20233 Manufacture of market basketry, grain storage bins, ration baskets including baskets made-up from rachis (toddy tree) and similar product made from bamboo and reed etc. 20239 Manufacture of other wooden containers and products made entirely or mainly of cane, rattan, bamboo, willow, fibres, leaves and grass n.e.c. 20291 Manufacture of wooden industrial goods 20292 Manufacture of cork and cork products 20293 Manufacture of bamboo and cane article and fixture of bamboo, cane, reed and grass products (thatching etc.) 20294 Manufacture of broomsticks 20295 Manufacture of wooden agricultural implements 20296 Manufacture from cane and bamboo of shopping bags, ornament boxes, costume articles, trays, table lamps, fancy baskets, table mats, tumbler and vessel holders and other household utilities 20297 Manufacture of articles made of palm leaf, dhak leaf, screw-leaf; articles of vegetables fibre etc,. 20298 Manufacture of products of pith and shalapith 20299 Manufacture of other wood products n.e.c. (including wooden tools, handles, etc. ornaments and household products) 21011 Manufacture of pulp 21012 Manufacture of paper incl. Printing &amp; writing paper 21013 Manufacture of newsprint 21014 Manufacture of packaging paper 21015 Manufacture of paper board and straw board 21016 Manufacture of hard board including false board and chip board 21017 Manufacture of special purpose paper/paper products for computers 21019 Manufacture of other primary paper materials incl. Composite paper &amp; paper board n.e.c. 21021 Manufacture of sacks &amp; paper bags 21022 Manufacture of card board boxes 21023 Manufacture of corrugated fibre board containers 21024 Manufacture of corrugated paper board 21029 Manufacture of other containers and boxes of paper or paper board n.e.c. 21091 Manufacture of paper hoops and cones 21092 Manufacture of paper cups, saucers, plates and other similar products 21093 Manufacture of other paper and paper board articles 21094 Manufacture of dolls from pulp 21095 Manufacture of papier mache articles 21096 Manufacture of wall paper 21097 Manufacture of file cover/file boards, and similar articles. 21098 Manufacture of carbonpaper &amp; stationary items 21099 Manufacture of other pulp products/special purpose paper n.e.c. 22110 Publishing of books, brochures, musical books and other publications. 22121 Publishing of newspapers. 22122 Publishing of periodicals and journals. 22130 Publishing of recorded media [includes publishing of records and other recorded audio media, publishing of sheet music etc] 22190 Other publishing [includes publishing of photos and postcards, greeting cards, time-tables, forms, posters or other printed matters.] 22211 Printing but not publishing of newspapers 22212 Printing but not publishing of periodicals, books, journals, directories, atlases, maps and sheet music, schedules and pamphlets 22213 Printing of bank notes, currency notes 22219 Printing and allied activities like screen printing other then textile, n.e.c. 22221 Engraving, etching and block making etc. 22222 Book binding on account of others 22229 Other service activities relating to printing n.e.c 22300 Reproduction of recorded media [This class includes reproduction of records, audio, video and computer tapes from master copies, reproduction of floppy, hard or compact disks, reproduction of non-customised software and film or compact disks, reproduction 23101 Manufacture of coke or semi coke products 23109 Manufacture of other coke oven products e.g. coal, coal tar and other products 23201 Production of liquid or gaseous fuels, illuminating oils, lubricating oils or greases or other products from crude petroleum or bituminous minerals 23202 Manufacture of paraffin wax 23203 Bottling of LPG 23209 Manufacture of other petroleum products n.e.c. (includes manufacture of petroleum jelly, micro-crystalline petroleum wax, slack wax, ozokerite, lignite wax, petroleum coke, petroleum bitumen and other residues of petroleum oils or of oils obtained from bi 23300 Processing of nuclear fuel [includes extraction of uranium metal from pitchblende or other uranium bearing ores; manufacture of alloys, dispersions or mixtures of natural uranium or its compounds; manufacture of enriched uranium and its compounds; plutoni 24111 Manufacture of industrial gases (includes manufacture of elemental gases, liquid or compressed air, acetylene refrigerant gases and mixed industrial gases etc.) 24112 Manufacture of inorganic acids (nitric acid is included in sub-class 24121). 24113 Manufacture of tanning or dying extracts; tannings and their derivatives and colouring matter (manufacture of indigo is included) 24114 Manufacture of dyes (includes manufacture of such dyes and colouring matters which are for final use by household/industrial/institutional consumers, manufacture of special dyes used in laboratories e.g. to colour microscopic preparations is also include 24115 Manufacture of turpentine and resins of vegetable origin 24116 Manufacture of organic acids (includes acetic acid); alcohols; phenols and phenol alcohols; methanol and higher alcohols. 24117 Manufacture of basic inorganic chemicals n.e.c. 24118 Manufacture of industrial monocarboxilic fatty acids, acid oils from refining and industrial fatty alcohols ; Manufacture of glycerine. 24119 Manufacture of basic organic chemicals n.e.c. 24121 Manufacture of nitric acid, ammonia, commercial ammonium chloride, nitrates of potassium and other basic chemicals of nitrogenous fertilizer industry 24122 Manufacture of straight inorganic fertilizers 24123 Manufacture of urea and other organic fertilizers 24124 Manufacture of mixed, compound or complex fertilizers 24129 Manufacture of others fertilizers n.e.c. ( manufacture of pesticides are classified in class 2421) 24131 Manufacture of synthetic rubber in primary forms 24132 Manufacture of amino-resins, phenolic-resins and polyurethanes in primary forms 24133 Manufacture of cellulose and its chemical derivatives in primary form 24134 Manufacture of natural polymers and modified natural polymer in primary forms 24139 Manufacture of other plastics in primary forms n.e.c. (including mixtures of synthetic rubber and natural rubber or rubber like gum e.g. balata, in primary forms) 24211 Manufacture of insecticides, fungicides and weedicides 24219 Manufacture of other pesticides and agro chemical products n.e.c. 24221 Manufacture of prepared pigments, prepared opacifiers and prepared colours, vitrifiable enamels and glazes engobes and similar preparations of a kind used in the ceramic, enamelling or glass industry 24222 Manufacture of paints, varnishes, enamels or lacquers 24223 Manufacture of printing ink (manufacture of writing or drawing ink is classified in sub-class 24299) 24224 Manufacture of pigments and other colouring matter of a kind used in the manufacture of paints or by artists or other painters 24229 Manufacture of mastics, caulking compounds or similar non-refractory filling or surfacing preparations; prepared other paints/ varnishes removers; organic composite solvents and thinners, and other related products n.e.c. 24231 Manufacture of chemical substances used in the manufacture of pharmaceuticals: antibiotics, endocrine products, basic vitamins; opium derivatives; sulpha drugs; ?serums and plasmas; salicylic acid, its salts and esters; glycosides and vegetable alkaloids; 24232 Manufacture of allopathic pharmaceutical preparations 24233 Manufacture of ‘ayurvedic’ or ‘unani’ pharmaceutical preparation 24234 Manufacture of homoeopathic or biochemic pharmaceutical preparations 24235 Manufacture of veterinary preparations 24236 Manufacture of surgical dressings, medicated wadding, fracture bandages, catgut and other prepared sutures 24239 Manufacture of other pharmaceutical and botanical products like hina powder etc., n.e.c. 24241 Manufacture of soaps all types (includes medicated soap, household soaps, rosin, naphthenate soaps and industrial soaps) 24242 Manufacture of waxes &amp; polishes (includes manufacture of artificial waxes, prepared waxes; polishes and creams for footwear, furniture, floor, coachwork, glass or metals and scouring-pastes/powders and similar preparations) 24243 Manufacture of organic surface-active agents (surfactants) and preparations based thereon, detergents, auxiliary cloths) and cleaning preparations (for floors/windows etc.) washing preparations (for rinsing or bleaching 24244 Manufacture of perfumes and cologne de-eau 24245 Manufacture of preparations for oral or dental hygiene (includes manufacture of toothpastes, toothpowder, mouthwash, oral, perfumes, dental fixative pastes and powders etc.) 24246 Manufacture of cosmetics and toileteries (includes manufacture of pre-shave,shaving or after shave preparations; personal deodorants and anti-respirants; perfumed bath salts and other bath preparations; beauty or make-up preparations and preparations for 24247 Manufacture of hair oil, shampoo, hair dye etc. (includes manufacture of shampoos, hair sprays, hair fixers, hair oils, hair creams, hair dyes and bleaches and preparations for permanent waving or straightening of the hair etc.) 24248 Manufacture of “Agarbatti” and other odoriferous preparations which operate by burning 24249 Manufacture of other perfumes and toilet preparations n.e.c. (includes manufacture of scented sachets, perfumed papers, contact lens solution and animal preparations etc.) 24291 Manufacture of matches 24292 Manufacture of explosive, ammunition and fire works 24293 Manufacture of essential oils; modification by chemical processes (e.g. by oxidation, polymerization etc.) of oils and fats 24294 Manufacture of photochemical products such as photographic plates, films, sensitized paper, other sensitized unexposed materials and chemical preparations for photographic use; manufacture of prepared unrecorded media for sound recording and similar recor 24295 Manufacture of gelatin and gelatin derivatives, glues of animal origin, prepared glues and other prepared adhesives including adhesives based on rubber or plastics 24296 Manufacture of chemical elements and compounds doped for use in electronics 24297 Manufacture of chemical products or preparations of a kind used in the textiles, paper, leather or like industries 24298 Manufacture of processed salt 24299 Manufacture of fine chemicals and other chemical products n.e.c. (including anti-knock preparations, anti-freeze preparations, liquids for hydraulic transmission, composite diagnostic or laboratory reagents, writing or drawing ink, chemical substance used 24301 Manufacture of artificial filament tow and staple fibers, not carded or combed. 24302 Manufacture of synthetic filament tow and staple fibers, not carded or combed. 24303 Manufacture of artificial filament yarn, whether or not textured, high tenacity, multiple or cabled. 24304 Manufacture of synthetic filament yarn, whether or not textured, high tenacity, multiple or cabled. 24305 Manufacture of artificial non-filament or strip (e.g. artificial straw). 24306 Manufacture of synthetic non-filament or strip. 24309 Manufacture of other man made fibre n.e.c. 25111 Manufacture of tyres and tubes for motor vehicle, tractors and aircrafts 25112 Manufacture of tyres and tubes for motor cycles, scooters and three-wheelers 25113 Manufacture of tyres and tubes for cycles &amp; cycle rickshaws 25114 Retreading of tyres; replacing of tread on used pneumatic tyres 25119 Manufacture of pneumatic tyres and soild or cushion tyres, tyres for animal driven carts (Buggies etc.), tyre parts such as interchangeable tyre treads or tyre flaps; ‘çamel-back’ strips for re -treading tyres; and other tyres and tubes n.e.c. 25191 Manufacture of rubber plates, sheets, strips, rods, tubes, pipes, hoses and profile -shapes etc. 25192 Manufacture of rubber conveyor or transmission belts or belting 25193 Manufacture of rubber contraceptives 25194 Manufacture of rubber balloons 25199 Manufacture of other rubber products n.e.c. (manufacture of rubber surgical and medical equipment is classified in class 3311 while that of uncovered cellular rubber mattresses is classified in class 3610) 25201 Manufacture of semi -finished products of plastics 25202 Manufacture of packing products of plastics (except household) 25203 Manufacture of bathing tubs, wash-basins, lavatory pans and covers, flushing cisterns and similar sanitary-ware of plastics 25204 Manufacture of travel goods of plastics (suitcase, vanity bags, holdalls and similar articles) 25205 Manufacture of spectacle frames of plastic 25206 Manufacture of moulded industrial accessories of plastics [including electrical insulating fittings of plastics] 25207 Manufacture of tableware, kitchenware and other household articles and toilet articles of plastic, including manufacture of vacuum flasks and other vacuum vessels 25208 Manufacture of plastic headgear (helmets) 25209 Manufacture of polymer/ synthetic / PVC water storage tanks and other plastic products n.e.c 26101 Manufacture of glass in primary or semi-manufactured forms (such as sheets &amp; plate glass) including mirror sheets and wired, coloured, tinted, toughened or laminated glass 26102 Manufacture of glass fibre (including glass-wool) and yarn of glass fibre; non-woven glass fabrics, mats, boards and similar non-woven products therefrom 26103 Manufacture of hollow glassware (bottles, jars etc.) for the conveyance or packing of goods 26104 Manufacture of laboratory or pharmaceutical glassware 26105 Manufacture of table or kitchen glassware 26106 Manufacture of glass bangles 26107 Manufacture of glass decoration pieces and glassware used in imitation jewellery 26109 Manufacture of other glassware/glass products: articles of glass used in construction such as glass blocks; clock or watch glasses, optical glass and optical glass elements not optically worked; and other glass products (including glass beads) n.e.c. 26911 Manufacture of articles of porcelain or china, earthenware, imitation porcelain or common pottery, including earthen statues 26912 Manufacture of statues and ornamental articles of stone and other stoneware, including writing slates of slatestone 26913 Manufacture of ceramic tableware and other articles of a kind commonly used for domestic purposes, including ceramic statuettes and other ornamental articles 26914 Manufacture of ceramic sanitary wares: sinks, baths, water-closet pans, flushing cistern etc. 26915 Manufacture of ceramic insulators and insulating fittings for electrical machines, appliances and equipment 26916 Manufacture of ceramic ware for laboratory chemical or other technical uses 26919 Manufacture of other non-structural ceramic ware n.e.c. 26921 Manufacture of refractory bricks, blocks tiles and similar refractory ceramic constructional goods 26922 Manufacture of refractory cements; ceramic products that can withstand the high temperature encountered in metallurgical operations; retorts, crucibles, muffles, nozzles, tubes, pipes etc. 26929 Manufacture of other refractory ceramic products n.e.c. 26931 Manufacture of bricks 26932 Manufacture of non-refractory ceramic pipes, conduits, guttering and pipe fittings 26933 Manufacture of ceramic building material, other than bricks: flooring blocks, roofing tiles, wall tiles (whether or not glazed), flags and pavings, mosaic cubes etc. 26939 Manufacture of other structural clay products n.e.c. 26941 Manufacture of cement in the form of clinkers 26942 Manufacture of portland cement, aluminous cement, slag cement and similar hydraulic cement, except in the form of clinkers 26943 Manufacture of asbestos cement 26944 Manufacture of quicklime, slaked lime and hydraulic lime (excl. chewing lime) 26945 Manufacture of plasters consisting of calcined gypsum or calcium sulphate 26949 Manufacture of other cement, lime and plaster n.e.c. 26951 Manufacture of plaster statues 26952 Manufacture of other plaster products 26953 Manufacture of asbestos sheets 26954 Manufacture of R.C.C. bricks and blocks 26955 Manufacture of concrete tiles 26956 Manufacture of hume pipes and other pre-fabricated structural components of cement and/or concrete for building or civil engineering 26957 Manufacture of insulation boards of vegetable fibre, straw or wood waste, agglomerated with cement &amp; other mineral binders. 26959 Manufacture of other cement and asbestos cement products n.e.c. 26960 Cutting, shaping and finishing of stone[ includes cutting, shaping and finishing stone for use in construction, in cemeteries, on roads, as roofing and in other applications] 26991 Manufacture of worked mica and mica products 26992 Manufacture of gypsum boards 26993 Manufacture of millstones, sharpening or polishing stones and natural or artificial abrasive products, including abrasive powder or grain on a base of textile material, paper, paper board or other material 26994 Manufacture of graphite products other than electrical articles 26999 Manufacture of other non-metallic mineral products n.e.c. 27110 Manufacture of ferro alloys. 27120 Manufacture of Direct Reduced Iron (DRI)/ Sponge Iron and other spongy ferrous products. 27130 Manufacture of Pig Iron (hot metal). 27141 Manufacture of semi -finished non ally steel of these shapes 27142 Manufacture of semi -finished alloy steel of these shapes 27143 Manufacture of semi -finished stainless steel of these shapes 27151 Manufacture of alloy-steel of these shapes 27152 Manufacture of non-alloy steel of these shapes 27153 Manufacture of stainless steel of these shapes 27161 Manufacture of non-alloy steel hot rolled flat products (including plates, sheets, 27162 Manufacture of alloy steel hot rolled flat products (including plates, sheets, strips, wide coils) 27163 Manufacture of stainless steel hot rolled flat products (including plated sheets, strips, wide coils) 27164 Manufacture of non-alloy steel cold rolled flat products (including sheets, strips, 27165 Manufacture of alloy steel cold rolled flat products 27171 Manufacture of GP/GC/Zn-Al. coated sheets/ Colour coated 27172 Manufacture of Tinplate 27173 Manufacture of Tin Free Steel 27181 Manufacture of non-alloy steel wires 27182 Manufacture of alloy steel wires 27183 Manufacture of stainless steel wires 27184 Manufacture of wires coated with zinc or other materials 27190 Manufacture of other basic iron and steel n.e.c. 27201 Manufacturing of Copper (includes basic processing, smelting, refining for production of base metal; its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles, wires, tubes, pipes 27202 Manufacturing of Brass (includes the making of brass and its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles, wires, tubes, pipes and tube or pipe fittings) 27203 Manufacturing of Aluminum (includes basic processing, smelting, refining for production of base metal; its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles,wires, tubes, pipes 27204 Manufacturing of Zinc (includes basic processing, smelting, refining for production of base metal; its further processing and production of powders or 27205 Manufacture of basic precious metals and by products (gold, silver &amp; metals of 27209 Other non-ferrous metal industries n.e.c. (e.g. lead, nickel, manganese etc.) 27310 Casting of iron and steel 27320 Casting of non-ferrous metals 28111 Manufacture of doors, windows and their frames, shutters and rolling shutters ; fire escapes, gates and similar articles of iron or steel used on buildings 28112 Manufacture of fabricated structural products of iron or steel: bridges and bridge parts, towers, masts, columns, girders, trusses, arches, sluice gates, piers and 28113 Manufacture of fabricated structural products of metal other than of iron or steel 28118 Repair and maintenance of structural products 28119 Manufacture of other structural metal products n.e.c. 28121 Manufacture of containers of metal for compressed or liquified gas such as gas cylinders 28122 Manufacture of tanks, reservoirs and similar containers 28123 Manufacture of central heating boilers, radiators and its parts and accessories 28128 Repair and maintenance of tanks, reservoirs and containers of metal 28129 Manufacture of other containers n.e.c. (manufacture of drums, cans, 28131 Manufacture of steam or other vapour generating boilers and hot water boilers other than central heating boilers 28132 Manufacture of nuclear reactors for all purposes other than isotopes separators (processing of nuclear fuel is classified in 2330) 28133 Manufacture of auxiliary plant for use with boilers, such as economizers, super-heaters, steam collectors and accumulators; soot removers, gas recoverers and 28138 Repair and maintenance of steam generators, except central heating hot water 28139 Manufacture of other steam generators (except central eating hot water boilers) n.e.c. 28910 Forging, pressing , stamping and roll-forming of metal; powder metallurgy 28920 Treatment and coating of metals; general mechanical engineering on a fee or contract basis 28931 Manufacture of metal articles in and about the house: knives and knife blades; other articles of cutlery; including cleavers and choppers, razors and razor blades, scissors, hair clippers and nail clippers; spoons, forks, ladles, skimmers, fish knives, to 28932 Manufacture of tools of a kind used in agriculture, horticulture or forestry; of a kind used in carpentry, cabinet work or other wood work; of a kind used for mechanical assembly work; of a kind used in sheet metal work; and in other trades 28933 Manufacture of locks, padlocks, keys and other hardware for buildings, furniture, vehicles or other appliances n.e.c. 28939 Manufacture of general hardware n.e.c. 28991 Manufacture of metal fasteners (nails, rivets, tacks, pins, staples, washers and similar non-threaded products and nuts, bolts, screws and other threaded products); springs including semi-finished springs for all purposes other than 28992 Manufacture of containers used for packing or conveyance of goods: casks, 28993 drums, pails, cans, boxes etc. (manufacture of railway and ship containers used in container-traffic is classified 3420) Manufacture of reinforced safes, vaults, strongroom doors and gates and the like 28994 Manufacture of metal sanitaryware, including baths, sinks, wash basins, and other metal sanitary and toilet articles, whether or not enamelled 28995 Manufacture of metal artware (statues, picture frames, and other decorative articles including trophies) 28996 Manufacture of hollow-ware, dinnerware or flatware whether or not of base metal 28997 plated with precious metal; fry pans, sauce pans, and other metal cooking utensils Manufacture of pressure cookers and other small hand operated kitchen appliances used in preparation, conditioning or serving of food 28998 Manufacture of metal goods for office use, other than metal furniture /Repair and maintenance of other fabricated metal products n.e.c. 28999 Manufacture of other fabricated metal products n.e.c : metal cable, plaited bands and similar articles; articles made of wire barbed wire, wire fencing etc.): cutlasses, swords, bayonets and similar arms; type foundings metal safety headgear; railway or t 29111 Manufacture of steam engines and turbines 29112 Manufacture of reciprocatory or rotary spark-ignition or compression-internal combustion piston engines for use in moving or stationary applications other than for motor-vehicles or aircraft propulsion. 29113 Manufacture of parts and accessories of engines and turbines. 29118 Repair and maintenance of engines and turbines, except aircraft, vehicle and cycle engines 29119 Manufacture of other movers n.e.c. hydraulic turbines, water wheels and their regulatory machinery; gas turbines for marine propulsion or for use as prime movers of electric generators or pumps; boiler-turbine set or a stationary steam engine with integra 29121 Manufacture of pumps, compressors, taps and valves 29128 Repair and maintenance of pumps, compressors, taps and valves 29131 Manufacture of bearings, gears, gearing and driving elements 29138 Repair and maintenance of bearings, gears, gearing and driving elements 29141 Manufacture of non-electric furnaces and ovens for roasting, melting or other heat treatment of ores, pyrites, non-metallic minerals, metals or other materials; 29142 Manufacture of electric furnaces or ovens, including induction or dielectric furnaces and ovens including incinerators and industrial heaters 29148 Repair and maintenance of ovens, furnaces and furnace burners 29149 Manufacture of other ovens, furnaces and furnace burners n.e.c. 29151 Manufacture of lifting and handling equipment 29158 Repair and maintenance of lifting and handling equipment 29191 Manufacture of refrigerators or freezing equipment for commercial and other non-household purposes and assemblies of their major components e.g. compressors and condensers mounted on a common platform even though motor, evaporator or cabinet is missing;; 29192 Manufacture of domestic air-conditioners. 29193 Manufacture of fire extinguishers and other equipment for projecting, dispersing or spraying liquids or powders whether or not hand-operated, including sand blasting machines, stream cleaning machines etc. 29194 Manufacture of centrifuges machinery for liquids and gases, other than cream 29195 Manufacture of packing and wrapping machinery including machines which perform one or more of such functions as filling, closing, sealing, capsuling or labelling containers such as bottles, cans, boxes or bags; machinery for cleaning or drying bottles or 29196 Manufacture of weighing machinery other than sensitive laboratory balances: household and shop scales, portable or mobile platform scales, scales for continuous weighing of goods, scales for weighing a continuous flow of liquid, weigh bridges and so forth 29197 Manufacture of filtering and purifying machinery or apparatus for liquids and gases 29198 Manufacture of distilling and rectifying plants; heat exchangers; machinery for liquefying air or gas; producer gas or water gas and acetylene gas generators. /Repair and maintenance of other general purpose machinery 29199 Manufacture of other general purpose machinery: fans intended for industrial applications, exhaust hoods for commercial, laboratory or industrial use; calendering or other rolling machines other than for metals or glass; gaskets and similar joints made of 29211 Manufacture of tractors, harvestors and other heavy machinery for use in agricultural and forestry(manufacture of over-the-road tractors for semi -trailers is classified in class 3410) 29212 Manufacture of light agricultural and forestry machinery and equipment other than forage press: ploughs, harrows, weeders, hoes, seeders, manure spreaders, thinners etc. Manufacture of animal drawn machinery is included. 29213 Manufacture of forage presses 29214 Manufacture of parts and accessories for agricultural and forestry machinery and equipment 29218 Repair and maintenance of agricultural and forestry machinery 29219 Manufacture of other machinery and equipment for use in agriculture, horticulture or forestry, bee-keeping and fodder preparation n.e.c. (manufacture of hand tools used in agriculture, horticulture and forestry is classified in class 2893). 29221 Manufacture of automatic capstans and turrets and lathes 29222 Manufacture of boring, broaching, drilling and threading machines 29223 Manufacture of milling, planning, shaping, gear cutting and slotting machines. 29224 Manufacture of grinding, lapping, honing and polishing machines 29225 Manufacture of sawing, contour sawing, filling and cut-off machines 29228 Repair and maintenance of machine-tools 29229 Manufacture of other machine tools n.e.c. 29231 Manufacture of machinery for metallurgy: converters, ingot moulds, ladles and 29238 Repair and maintenance of machinery for metallurgy: converters, ingot moulds, 29241 Manufacture of lifting and handling machinery specially designed for use 29242 underground Manufacture of boring and sinking machinery 29243 Manufacture of machinery for treating minerals by screening, sorting, separating or similar processes 29244 Manufacture of bulldozers, angle-dozers and other earth moving machinery; 29245 Manufacture of pile drivers, pile excavators and compacting machinery Manufacture of track-laying tractors used in construction or mining 29246 Manufacture of parts and accessories for machinery/equipment used by 29248 Manufacture of machines used in construction and mining industries Manufacture of machines used in construction n.e.c.: mortar spreaders, road building equipment etc./ Repair and maintenance of machinery for mining, quarrying and construction 29249 Manufacture of mining/quarrying machinery n.e.c. 29251 Manufacture of machinery for dairy industry and for processing of poultry 29252 Manufacture of machinery for processing of tea, coffee and tobacco and for making cigarettes or cigars, or for pipe or chewing tobacco or snuff etc. 29253 Manufacture of machinery chiefly employed by grain milling industry and for the 29254 Manufacture of machinery for manufacture of sugar and for manufacture of bakery and confectionery products 29255 Manufacture of machinery for manufacture of fruit/vegetable juices, malt liquors and alcoholic beverages including machinery for processing vegetables 29256 Manufacture of parts and accessories of machinery for industrial preparation or 29258 Repair and maintenance of machinery for food, beverage and tobacco processing 29259 Manufacture of other machinery for beverage and tobacco processing, manufacture of food or drink n.e.c. 29261 Manufacture of machinery for preparation of textile fibers upto spinning stage and other similar machines, including ginning machinery. 29262 Manufacture of spinning machines for preparing textile yarns for weaving /knitting 29263 Manufacture of weaving machines (looms) including handlooms; machines for making knotted net, tulle lace, braid and other special fabrics. Manufacture of auxiliary machines or equipment for the spinning and weaving machines. 29264 Manufacture of machinery for washing, bleaching, dyeing, dressing, finishing coating or impregnating textile yarns, fabrics or made up apparel,; machines for applying paste to the base fabric or other support used in the manufacture of linoleum or simila 29265 Manufacture of sewing and knitting machines: sewing machines of all types (including those for household use) and its heads. 29266 Manufacture of machinery for preparing, tanning or working hides, skins and leather; machinery for making or repairing footwear or other articles of hides,skins, leather of furskins. 29267 Manufacture of laundry-type washing and drying machines and dry -cleaning machines; ironing machines including fusing presses, (manufacture of centrifugal clothes dryers is classified in class 2929) 29268 Manufacture of accessories and parts of all types of machinery for textile, apparel and leather production. / 29268 (A) Repair and maintenance of machinery for textile, apparel and leather production 29269 Manufacture of other machinery for textiles, apparel and leather production n.e.c. 29271 Manufacture of weapons and ammunition 29278 Repair and maintenance of weapons and ammunition 29291 Manufacturing of machinery for working rubber or plastics or for the manufacture of products of these materials. 29292 Manufacture of machinery for producing tiles, bricks, shaped ceramic pastes, pipes, graphite electrodes, blackboard chalk, foundry mo ulds etc. 29293 Manufacture of machinery for pulp, paper and paper board industries machinery for producing paper of a given size or shape or for producing articles such as envelopes, bags, boxes or cartons. 29294 Manufacture of printing machinery (presses, screen printers and other special printing machines), type-founding machinery; type setting machinery; machines for photo-type setting and composing machines; blocks, plates and cylinders and other printing comp 29295 Manufacture of moulding boxes for metal foundry; mould bases; moulding patterns, mould for metals (other than ingot moulds); metal carbides, glass,mineral materials, rubber or plastics and other parts special purpose machinery, not elsewhere classified. 29296 Manufacture of cement machinery 29297 Manufacture of pharmaceutical and chemical machinery 29298 Manufacture of centrifugal cloth dryers, machines to assemble electric or electronic lamps, tubes or bulbs in glass envelopes; machines for production of hot-working of glass or glassware; machinery for isotopic separation /Repair and maintenance of other 29299 Manufacture of other special purpose machinery, equipment n.e.c. including part and accessories 29301 Manufacture of oil stoves, hurricane lanterns and oil pressure lamps 29302 Manufacture of gas stoves, cooking ranges and other similar appliances 29303 Manufacture of electric fans 29304 Manufacture of vacuum cleaners and other electro-mechanical domestic appliances with self-contained electric motors, such as food processors and juice extractors etc. 29305 Manufacture of electro-thermic domestic appliances such as immersion water heaters, hot-plates, geysers ; electro-thermic hair dressing appliances; electric irons and electric/electronic cooking appliances (ovens, micro-wave ovens, cookers, hot plates, to 29306 Manufacture of domestic refrigerators/freezers 29307 Manufacturing of items based on solar energy like solar cookers, air/water heating system etc. except cell. 29308 Manufacture of other electric domestic appliances n.e.c. : dishwashers, household type laundry equipment, electric razors including parts and accessories for electrical domestic appliances 29309 Manufacture of other (non-electric) domestic appliances n.e.c. and part and accessories for electrical and non-electric domestic appliances 30001 Manufacture of manual or electric/electronic typewriters 30002 Manufacture of hectograph or stencil duplicating machines, addressing machines and sheet fed type offset printing machine 30003 Manufacture of hand-held or desk-top calculating machines; other calculators; 30004 Manufacture of photo-copying apparatus incorporating an optical system or of the contact type and thermo -copying apparatus 30005 Manufacture of analog data-processing machines comprising analogue elements, control elements and programming elements; additional elements for analogue computers having an input or an output function 30006 Manufacture of complete digital systems comprising a central processing unit, an input unit and an output unit; digital systems which include peripheral units such as additional input/output units, additional storage units etc 30007 Manufacture of computer peripherals like magnetic disk/floppy/ winchester disk 30008 Manufacture of other office machinery and equipment n.e.c. : machines that sort, wrap or count coins; automatic bank note dispensers; machines that stuff envelops, sort mail; pencil sharpeners; document shredders; perforating or stapling 30009 Manufacture of automatic data processing machines and other computing machinery, including parts and accessories for computing machinery n.e.c. 31101 Manufacture of generators/generating sets 31102 Manufacture of transformers of all sizes and types &amp; rewinding of electric motors 31103 Manufacture of electric motors : universal AC/DC motors and DC motors or generators 31104 Manufacture of converters all types (including inverters) 31108 Repair and maintenance of electric motors, generators and transformers 31109 Manufacture of all types of rectifiers, battery charges, inductors etc. n.e.c 31200 Manufacture of electricity distribution and control apparatus [electrical apparatus for switching or protecting electrical circuits (e.g. switches, fuses, voltage limiters, surge suppressors, junction boxes etc.) for a voltage exceeding 1000 volts; simila 31300 Manufacture of insulated wire and cable [insulated (including enamelled or anodized) wire, cable (including coaxial cable) and other insulated conductors; optical fibre cables] 31401 Manufacture of electric accumulators : lead-acid, nickel-cadmium, nickel-other accumulators 31402 Manufacture of primary cells and primary batteries: cells containing manganese oxide, mercuric oxide, silver oxide or other material 31403 Manufacture of parts and accessories such as separators, containers, etc. 31404 Re-charging/re-conditioning of batteries 31409 Manufacture of other accumulators, primary cells and primary batteries, n.e.c. 31501 Manufacture of electric filament lamps including manufacture of sealed beam lamp units 31502 Manufacture of ultra-violet or infra -red lamps 31503 Manufacture of discharge lamps, florescent, hot-cathode or other discharge lamps 31504 Manufacture of arc lamps 31505 Manufacture of flash bulbs used in photography 31506 Manufacture of lighting equipment, illuminated signs, illuminated name -plates and the like; flash light; torch; parts of electric lamps and lighting equipment (manufacture of lighting equipment for cycles and motor vehicles is classified in class 3190) p 31509 Manufacture of other electric lamps and lightening equipment n.e.c. 31901 Manufacture of electrical ignition or starling equipment of a kind used for spark 31902 Manufacture of electrical lighting (other than sealed beam lamp units) or signaling including sound signaling equipment specialized for use on cycles and motor 31903 Manufacture of electrical signaling, safety or traffic control equipment for motorways, railways, inland-waterways, ports and harbors and airports 31904 Manufacture of electro-magnets; electro-magnetic or permanent magnet chucks, clutches, brakes, couplings, clamps or lifting heads 31905 Manufacture of wiring sets including wiring sets of a kind used in vehicles, aircraft, ships or other machinery 31906 Manufacture of dynamos for cycles and motor-cycles 31907 Manufacture of electric sound or visual signaling apparatus (bells, sirens, indicators panels, burglar or fire alarms etc.) 31908 Carbon or graphite electrodes, carbon brush, lamp carbons, battery carbon with or without metals used for electronic purpose /Repair and maintenance of other electrical equipment n.e.c. 31909 Manufacture of parts and accessories for electrical equipment included in this class and manufacture of other electrical and electronic equipment such as particle accelerators, signal generators, mine detectors, electrical mine detonators 32101 Manufacture of thermion, cold cathode or photo-cathode valves and tubes (e.g. TV picture tubes, TV camera tubes, image converters and intensifiers, microwave tubes, receiver or amplifier valves or tubes etc.) 32102 Manufacture of electrical capacitors (or condensers); fixed, variable or adjustable. 32103 Manufacture of electrical resistors including rheostats and potentiometers, other than heating resistors. 32104 Manufacture of printed circuits i.e. circuits which are made by forming on an insulating base, by conventional or non-conventional printing process, conductor elements, contacts or other printed elements. 32105 Manufacture of diodes, transistors and similar semi-conductor devices, photo-sensitive semi-conductor devices, including photo-voltaic cells; mounted piezo-electric crystals 32106 Manufacture of electronic integrated circuit and micro-assemblies: monolithic or hybrid and electronic micro-assemblies of moulded module, micro-module or similar types. 32107 Manufacture of part and accessories for electronic valves and tubes and other electronic components 32108 Repair and maintenance of electronic valves and tubes and other electronic components 32109 Manufacture of other electronic components n.e.c 32201 Manufacture of apparatus for radio broadcasting, television transmission (includes manufacture of relay transmitters and television transmitters for industrial use) 32202 Manufacture of transmission apparatus for radio telephony, radio-telegraphy, whether or not incorporating reception apparatus or sound recording or reproducing apparatus; fixed transmitter and transmitter-receivers radio-telephony apparatus for transport 32203 Manufacture of television cameras of all kinds 32204 Manufacture of apparatus for line telephony including such apparatus for carrier-current line systems (includes manufacture of telephone sets, automatic and non-automatic switch boards and exchanges; morse or morse-type keys, other telegraphic transmitter 32205 Manufacture of reception apparatus for radio-telephony or radio-telegraphy, including apparatus combined with sound recording or reproducing apparatus or a clock 32208 Repair and maintenance of television and radio transmitters and apparatus for line telephony and line telegraphy 32209 Manufacture of specialized 32301 Manufacture of television receivers (including manufacture of video monitors/projectors), whether or not combined in the same housing with radio-broadcast receivers or sound or video recording or reproducing apparatus 32302 Manufacture of reception apparatus for radio broadcasting (includes apparatus 32303 Manufacture of magnetic tape recorders and other sound recording apparatus 32304 Manufacture of video recording or reproducing appara
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        principal industry (NIC-2004): The principal household industry (five digit) gives a clearer idea of the industrial activity which determines the principal industry of the household.
      </txt>
      <catgry>
        <catValu>
          01111
        </catValu>
        <labl>
          Growing of food grain crops (cereals and pulses)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01112
        </catValu>
        <labl>
          Growing of oilseeds including peanuts or soya beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Growing of cotton and other vegetable textile fibre plants (Includes growing of plant materials for plaiting, padding or stuffing or brushes or brooms)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Growing of tobacco, including its preliminary processing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01115
        </catValu>
        <labl>
          Growing of sugarcane or sugar beet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01116
        </catValu>
        <labl>
          Growing of rubber trees; harvesting of latex and treatment on the plantation of the
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01117
        </catValu>
        <labl>
          liquid latex for the purpose of transport or preservation Growing of plants used chiefly in pharmacy or for insecticide, fungicidal or similar purposes ( Includes growing of opium and ganja)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01118
        </catValu>
        <labl>
          Growing of Hina leaves [Mehandi]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01119
        </catValu>
        <labl>
          Growing of other crops, n.e.c. (Includes growing of potatoes, yams, sweet potatoes or cassava; hop cones, chicory roots or roots and tubers with a high starch or inulin content; growing of seeds of a kind used for sowing, growing of forage plants includin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01121
        </catValu>
        <labl>
          Growing, in the open or under cover, of vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01122
        </catValu>
        <labl>
          Growing of vegetables; un-rooted cuttings or slips; bulbs, tubers, tuberous roots, corns or crowns. Also includes growing of flowers or flower buds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01131
        </catValu>
        <labl>
          Growing of coffee or cocoa beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01132
        </catValu>
        <labl>
          Growing of tea or mate leaves including the activities of tea factories associated with tea plantations. (Processing by independent units is classified under class 1549
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01133
        </catValu>
        <labl>
          Growing of edible nuts including coconuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01134
        </catValu>
        <labl>
          Growing of fruit: citrus, tropical pome or stone fruit; small fruit such as berries; other fruit such as avocados, grapes, dates or bread fruit etc. (Manufacture of wine, when done at the same location where the grapes are grown is included, by exception)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01135
        </catValu>
        <labl>
          Growing of spice crops including: spice leaves (e.g. bay, thyme, basil); spice seeds (e.g. anise, coriander, cumin); spice cloves); or other spices (e.g. nutmeg, ginger). Also includes growing of betel leaves.flowers (e.g. cinnamon); spice fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01136
        </catValu>
        <labl>
          Gathering of berries or nuts etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01139
        </catValu>
        <labl>
          Growing of fruit, nuts, beverage and spice crops, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Cattle (including yak and buffalo) breeding, rearing and ranching etc.; production of raw milk and bovine semen (Production of butter, cheese and other dairy products as secondary activity does not change the classification of the unit)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rearing of goats, production of milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01213
        </catValu>
        <labl>
          Rearing of sheep; production of shorn wool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01214
        </catValu>
        <labl>
          Rearing of horses, camels, mules and other pack animals.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01221
        </catValu>
        <labl>
          Raising of pigs and swine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01222
        </catValu>
        <labl>
          Raising of poultry (including broiler) and other domesticated birds; production of eggs and operation of poultry hatcheries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01223
        </catValu>
        <labl>
          Raising of bees; production of honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01224
        </catValu>
        <labl>
          Raising of silk worms; production of silk worm cocoons (production of raw silk is classified under class 1711)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01225
        </catValu>
        <labl>
          Farming of rabbits including angora rabbits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01229
        </catValu>
        <labl>
          Other animal farming; production of animal products n.e.c. (Includes: raising in captivity of semi domesticated or wild live animals including birds and reptiles, operation of worm farms, land mollusc farms, frog farms etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01300
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed farming). [This class includes crop growing in combination with farming of animals such as sheep or meat cattle at mixed activity units with specialisation ratio in either one of less than 66 percen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01401
        </catValu>
        <labl>
          Operation of irrigation systems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01402
        </catValu>
        <labl>
          Soil conservation services, including soil testing and soil desalination services.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01403
        </catValu>
        <labl>
          Activities establishing a crop, promoting its growth or protecting it from disease and insects. Transplantation of rice in rice fields. Horticultural and nursery services.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01404
        </catValu>
        <labl>
          Harvesting and activities related to harvesting, such as preparation of crop by cleaning, trimming, grading, drying, decorticating, retting, cooling or bulk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01405
        </catValu>
        <labl>
          packaging. Includes cotton picking Cotton ginning, cleaning and baling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01406
        </catValu>
        <labl>
          Renting of agricultura l machinery with operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Activities to promote propagation, growth and output of animals and to obtain animal products: artificial insemination, herd testing, poultry caponizing, coop cleaning, dung gathering etc. Sheep dipping and shearing, egg cleaning and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          grading, animal skinning and related activities. (Veterinary services are classified under class 8520) Gardening activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01409
        </catValu>
        <labl>
          Other agricultural and animal husbandry service activities, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01500
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02001
        </catValu>
        <labl>
          Growing of standing timber: planting, replanting, transplanting, thinning and conserving of forests and timber tracts. Operation of tree nurseries.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02002
        </catValu>
        <labl>
          Logging: logging camps and loggers primarily engaged in felling timber and ties or fuel wood.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02003
        </catValu>
        <labl>
          Gathering of tendu leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02004
        </catValu>
        <labl>
          Gathering of other wild growing forest materials (balatta and other rubber-like gums; cork; lac, resins and balsams; vegetable hair and eel grass; acorns and horse-chestnuts; mosses etc.) including fuel/fire wood.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02005
        </catValu>
        <labl>
          Forestry service activities: timber cruising, timber evaluation, fire fighting and forest management including afforestation and re-forestation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02006
        </catValu>
        <labl>
          Logging service activities: transport of logs in association with logging chiefly within the forest.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05011
        </catValu>
        <labl>
          Fishing on commercial basis in ocean, sea and coastal areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05012
        </catValu>
        <labl>
          Fishing on commercial basis in inland waters.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05021
        </catValu>
        <labl>
          Gathering of marine materials such as natural pearls, sponges, coral and algae.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05022
        </catValu>
        <labl>
          Fish farming, breading and rearing including operations of hatcheries for fin and shell fish, molluscs, acquatic plants and cultivation of oysters for pearls or food.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05023
        </catValu>
        <labl>
          Service activities related to marine and fresh water fisheries and to operators of fish hatcheries or fish farms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Open cut (strip) mining of coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Underground mining of coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Cleaning, sizing and pulverizing of coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Manufacture of brickade or other solid fuels containing chiefly coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Other activities relating to mining and agglomeration of hard coal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Mining and agglomeration of lignite from open cut mines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10202
        </catValu>
        <labl>
          Mining and agglomeration of lignite from underground
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Cleaning, sizing and pulverizing of lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Manufacture of brickade or other solid fuels containing chiefly lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10209
        </catValu>
        <labl>
          Other operations relating to mining and agglomeration of lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10300
        </catValu>
        <labl>
          Extraction and agglomeration of peat [incl. digging of peat]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          Off shore extraction of petroleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          On shore extraction of petroleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          Off shore extraction of natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          On shore ext raction of natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11201
        </catValu>
        <labl>
          Services incidental to off shore oil extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11202
        </catValu>
        <labl>
          Services incidental to on shore oil extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11203
        </catValu>
        <labl>
          Services incidental to off shore gas extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11204
        </catValu>
        <labl>
          Services incidental to on shore gas extraction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12000
        </catValu>
        <labl>
          Mining of uranium and thorium ores (e.g. pitchblende), including concentrating of such ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13100
        </catValu>
        <labl>
          Mining of iron ores [includes mining of hematite, magnetite, limonite, siderite or taconite etc. which are valued chiefly for iron content. Production of sintered iron ores is also included]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13201
        </catValu>
        <labl>
          Mining of manganese ore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13202
        </catValu>
        <labl>
          Mining of chromium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13203
        </catValu>
        <labl>
          Mining of aluminium ores (bauxite)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13204
        </catValu>
        <labl>
          Mining of precious metal ores (gold)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13205
        </catValu>
        <labl>
          Mining of copper ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13206
        </catValu>
        <labl>
          Mining of lead and zinc ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13209
        </catValu>
        <labl>
          Mining of other non-ferrous metal ores, n.e.c. [titanium ( ilmenite and rutile) , niobium, tantalum, vanadium or zirconium ores; tin bearing ores; and, nickel, cobalt, tungsten, molybdenum, antimony and other non-ferrous metal ores]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14101
        </catValu>
        <labl>
          Quarrying of marble
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14102
        </catValu>
        <labl>
          Quarrying of granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14103
        </catValu>
        <labl>
          Quarrying of slate and building and monumental stone other than marble and granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Mining of dolomite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Mining of gypsum including selenite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Operation of sand or gravel pits, basalt / porphyry, clay (ordinary ) , crushing and breaking of stone for use as a flux or raw material in lime or cement manufacture or as building material, road metal or ballast and other materials for construction.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Mining/quarrying of limestone, limeshell, ‘kankar’ and other calcareous minerals including calcite, chalk and shale.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14108
        </catValu>
        <labl>
          Mining of clays (kaolin, ball clay, wollastonite, bentonite, fuller’s earth, fire clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14109
        </catValu>
        <labl>
          Mining of refractory non-clay minerals (andalusite, kyanite, sillimanite, dunite diaspore, magnesite and pyrophyllite).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14211
        </catValu>
        <labl>
          Mining of native sulphur or pyrites and pyrrhotites valued chiefly for sulphur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14212
        </catValu>
        <labl>
          Mining of natural phosphate including apatite minerals.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14213
        </catValu>
        <labl>
          Mining of earth colours (ochre including red oxide).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14214
        </catValu>
        <labl>
          Mining of fluorspar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14215
        </catValu>
        <labl>
          Mining of barytes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14219
        </catValu>
        <labl>
          Mining of potash bearing salts/minerals; borate minerals and other fertiliser and chemical minerals n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14221
        </catValu>
        <labl>
          Salt mining, quarrying, screening etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14222
        </catValu>
        <labl>
          Production of Salt by evaporating of pans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14291
        </catValu>
        <labl>
          Mining of gemstones (agate, diamond, emerald, garnet (gem), jasper, rubby/
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14292
        </catValu>
        <labl>
          saphire etc. Mining and quarrying of abrasive materials (pumice stone, emery, corundum, garnet and other natural abrasives)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14293
        </catValu>
        <labl>
          Mining of mica
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14294
        </catValu>
        <labl>
          Mining of natural graphite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14295
        </catValu>
        <labl>
          Mining of asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14296
        </catValu>
        <labl>
          Mining of vermiculite, perlite and chlorites
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14297
        </catValu>
        <labl>
          Mining of felspar and silica minerals including quartz, quartzite and fuch.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14298
        </catValu>
        <labl>
          quartzite. Mining of talc/ steatite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14299
        </catValu>
        <labl>
          Mining of laterite, diatomite and silicious fossil meals (e.g. diatomite); and other natural fluxes; natural asphalt or bitumen and other mining, not elsewhere classified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15111
        </catValu>
        <labl>
          Mutton-slaughtering, preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15112
        </catValu>
        <labl>
          Beef-slaughtering, preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15113
        </catValu>
        <labl>
          Pork-slaughtering, preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15114
        </catValu>
        <labl>
          Poultry and other slaughtering, preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15115
        </catValu>
        <labl>
          Preservation of meat except by canning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15116
        </catValu>
        <labl>
          Processing and canning of meat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15117
        </catValu>
        <labl>
          Rendering and refining of lard and other edible animal fats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15118
        </catValu>
        <labl>
          Production of flours and meals of meat and meat offals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15119
        </catValu>
        <labl>
          Production, processing and preserving of other meat, meat products, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15121
        </catValu>
        <labl>
          Sun-drying of fish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15122
        </catValu>
        <labl>
          Artificial dehydration of fish and sea food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15123
        </catValu>
        <labl>
          Radiation preservation of fish and similar food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15124
        </catValu>
        <labl>
          Processing and canning of fish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15125
        </catValu>
        <labl>
          Manufacturing of fish meal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15126
        </catValu>
        <labl>
          Processing and canning of frog legs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15127
        </catValu>
        <labl>
          Processing and preserving of fish crustacean and similar foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15129
        </catValu>
        <labl>
          Processing &amp; preserving of other fish and fish products, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15131
        </catValu>
        <labl>
          Sun-drying of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15132
        </catValu>
        <labl>
          Artificial dehydration of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15133
        </catValu>
        <labl>
          Radiation preservation of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15134
        </catValu>
        <labl>
          Manufacturing of fruit/vegetable juices and their concentrates, squashes and powder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15135
        </catValu>
        <labl>
          Manufacturing of fruit/vegetable juices and their concentrates, squashes and powder Manufacture of sauces, jams, jellies and marmalades
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15136
        </catValu>
        <labl>
          Manufacture of pickles, chutneys, murabbas etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15137
        </catValu>
        <labl>
          Canning of fruit and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15138
        </catValu>
        <labl>
          Manufacture of potato flour &amp; meals and prepared meals of vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15139
        </catValu>
        <labl>
          Fruit and vegetables preservation n.e.c. (including preservation by freezing and roasting of nuts. )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15141
        </catValu>
        <labl>
          Manufacture of hydrogenated oils and vanaspati ghee etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15142
        </catValu>
        <labl>
          Manufacture of vegetable oils and fats (excluding corn oil)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15143
        </catValu>
        <labl>
          Manufacture of vegetable oils and fats through solvent extraction process
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15144
        </catValu>
        <labl>
          Manufacture of animal oils and fats (Rendering and refining of lard and other animal fats are classified in Class 1511]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15145
        </catValu>
        <labl>
          Manufacture of fish oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15146
        </catValu>
        <labl>
          Manufacture of cakes &amp; meals incl. residual products, e.g. Oleostearin, Palmstearin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15147
        </catValu>
        <labl>
          Manufacture of non-defatted flour or meals of oilseeds, oilnuts or kernels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15149
        </catValu>
        <labl>
          Manufacture of other vegetables and animal oil &amp; fats, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15201
        </catValu>
        <labl>
          Manufacture of milk powder, ice-milk foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15202
        </catValu>
        <labl>
          Manufacture of baby milk foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15203
        </catValu>
        <labl>
          Manufacture of butter, cream, ghee, cheese and khoya etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15204
        </catValu>
        <labl>
          ?Manufacture of pasteurised milk whether or not in bottles/ polythene packs etc. (plain or flavoured)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15205
        </catValu>
        <labl>
          Manufacture of pasteurised milk whether or not in bottles/ polythene packs etc. (plain or flavoured) Manufacture of ice-cream and kulfi etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15209
        </catValu>
        <labl>
          Manufacture of other dairy products, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15311
        </catValu>
        <labl>
          Flour milling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15312
        </catValu>
        <labl>
          Rice milling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15313
        </catValu>
        <labl>
          Dal milling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15314
        </catValu>
        <labl>
          Processing and grinding of grain other than floor, rice &amp; dal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15315
        </catValu>
        <labl>
          Vegetable milling, flour or meal of dried leguminous vegetables of roots or tubers or of edible nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15316
        </catValu>
        <labl>
          Manufacture of breakfast foods obtained by roasting or swelling cereal grains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15317
        </catValu>
        <labl>
          ?Manufacture of prepared, blended flour, wet flour for food preparation and dough for bread, cake, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15318
        </catValu>
        <labl>
          Manufacture of prepared, blended flour, wet flour for food preparation and dough for bread, cake, etc. Manufacture of other readymade mixed powders like idli, gulabjamun etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15319
        </catValu>
        <labl>
          Other grain milling and processing activities like manufacturing of poha/ muri etc, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15321
        </catValu>
        <labl>
          Manufacture of starch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15322
        </catValu>
        <labl>
          Manufacture of sago and sago products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15323
        </catValu>
        <labl>
          Manufacture of glucose &amp; glucose syrup, maltose
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15324
        </catValu>
        <labl>
          Manufacture of gluten
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15325
        </catValu>
        <labl>
          Manufacture of tapioca substitutes prepared from starch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15326
        </catValu>
        <labl>
          Manufacture of corn oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15329
        </catValu>
        <labl>
          Manufacture of other starch products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15331
        </catValu>
        <labl>
          Manufacture of cattle feed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15332
        </catValu>
        <labl>
          Manufacture of poultry feed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15339
        </catValu>
        <labl>
          Manufacture of other animal and bird feed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15411
        </catValu>
        <labl>
          Bread ma king
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15412
        </catValu>
        <labl>
          Manufacture of biscuits, cakes and pastries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15419
        </catValu>
        <labl>
          Manufacture of other bakery products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15421
        </catValu>
        <labl>
          Manufacture and refining of sugar (vacuum pan sugar factories)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15422
        </catValu>
        <labl>
          Manufacture of 'gur’from sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15423
        </catValu>
        <labl>
          Manufacture of 'gur’from other than sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15424
        </catValu>
        <labl>
          Manufacture of 'khandsari’ sugar from sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15425
        </catValu>
        <labl>
          Manufacture of 'khandsari’ sugar other than from sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15426
        </catValu>
        <labl>
          Manufacture of 'boora’ and candy from sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15427
        </catValu>
        <labl>
          Manufacture of 'boora’and candy other than from sugar cane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15428
        </catValu>
        <labl>
          Manufacture of molasses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15429
        </catValu>
        <labl>
          Manufacture of other indigenous sugar cane/sugar beet/palm juice products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15431
        </catValu>
        <labl>
          Manufacture of cocoa products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15432
        </catValu>
        <labl>
          Manufacture of sugar confectionery (except sweetmeats)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15433
        </catValu>
        <labl>
          Manufacture of sweetmeats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15434
        </catValu>
        <labl>
          Manufacture of chewing gum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15435
        </catValu>
        <labl>
          Preserving in sugar of fruits, nuts, fruit peals and other parts of plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15439
        </catValu>
        <labl>
          Other activities relating to manufacture of cocoa, chocolate and sugar confectionery n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15440
        </catValu>
        <labl>
          Manufacture of macaroni, noodles, couscous and similar farinaceous products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15491
        </catValu>
        <labl>
          Processing and blending of tea including manufacture of instant tea (activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15492
        </catValu>
        <labl>
          tea factories associated with tea plantations are classified in class 0113) Coffee curing, roasting, grinding and blending etc. including manufacture of instant coffee, chicory and other coffee substitutes, essence of concentrates of coffee.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15493
        </catValu>
        <labl>
          Processing of edible nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15494
        </catValu>
        <labl>
          Manufacture of malted foods including food for infants and invalids
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15495
        </catValu>
        <labl>
          Grinding and processing of spices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15496
        </catValu>
        <labl>
          Manufacture of papads appalam and similar food products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15497
        </catValu>
        <labl>
          Manufacture of vitaminised high protein flour, frying of dals &amp; other cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15499
        </catValu>
        <labl>
          Other semi-processed, processed or instant foods n.e.c. except farinaceous products and malted foods and manufacturing activities like manufacture of egg powder, sambar powder etc. (this excludes the activities covered under 15319)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15511
        </catValu>
        <labl>
          Manufacture of country liquor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15519
        </catValu>
        <labl>
          Distilling, rectifying and blending of spirits; ethyl alcohol production from fermented materials n.e.c. (other than soft drinks, mineral water &amp; wine)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15520
        </catValu>
        <labl>
          Manufacture of wines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15531
        </catValu>
        <labl>
          Manufacture of beer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15532
        </catValu>
        <labl>
          Manufacture of malt liquors other than beer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15533
        </catValu>
        <labl>
          Manufacture of malt liquors other than beer Manufacture of malt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15539
        </catValu>
        <labl>
          Manufacture of malt liquors and malt n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15541
        </catValu>
        <labl>
          Manufacture of aerated drinks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15542
        </catValu>
        <labl>
          Manufacture of synthetic flavored concentrates and syrups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15543
        </catValu>
        <labl>
          Manufacture of mineral water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15544
        </catValu>
        <labl>
          Manufacture of Ice.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15545
        </catValu>
        <labl>
          Manufacture of soft drinks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15549
        </catValu>
        <labl>
          Manufacture of other non-alcoholic beverages n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16001
        </catValu>
        <labl>
          Tobacco stemming, redrying etc. of tobacco leaf.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16002
        </catValu>
        <labl>
          Manufacture of bidi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16003
        </catValu>
        <labl>
          Manufacture of cigarette and cigarette tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16004
        </catValu>
        <labl>
          Manufacture of cigars and cheroots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16005
        </catValu>
        <labl>
          Manufacture of snuff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16006
        </catValu>
        <labl>
          Manufacture of 'zarda’
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16007
        </catValu>
        <labl>
          Manufacture of catechu(katha) and chewing lime
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16008
        </catValu>
        <labl>
          Manufacture of pan masala and related products.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16009
        </catValu>
        <labl>
          Manufacture of other tobacco products including chewing tobacco n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17111
        </catValu>
        <labl>
          Preparation and spinning of cotton fiber including blended* cotton (please note: ginning/pressing, baling activities are included in Class 0140).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17112
        </catValu>
        <labl>
          Preparation and spinning of silk fiber including blended* silk.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17113
        </catValu>
        <labl>
          Preparation and spinning of wool, including other animal hair and blended* wool including other animal hair.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17114
        </catValu>
        <labl>
          Preparation and spinning of man-made fiber including blended* man-made fiber.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17115
        </catValu>
        <labl>
          Weaving, manufacture of cotton and cotton mixture fabrics.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17116
        </catValu>
        <labl>
          Weaving, manufacture of silk and silk mixture fabrics.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17117
        </catValu>
        <labl>
          Weaving, manufacture of wool and wool mixture fabrics.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17118
        </catValu>
        <labl>
          Weaving, manufacturing of man-made fiber and man-made mixture fabrics.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17119
        </catValu>
        <labl>
          Preparation, spinning and weaving of jute, mesta and other natural fibers including blended natural fibers n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17121
        </catValu>
        <labl>
          Finishing of cotton and blended cotton textiles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17122
        </catValu>
        <labl>
          Finishing of silk and blended silk textiles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17123
        </catValu>
        <labl>
          Finishing of wool and blended wool textiles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17124
        </catValu>
        <labl>
          Finishing of man-made and blended man-made textiles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17125
        </catValu>
        <labl>
          Finishing of jute, mesta and other vegetable textiles fabrics.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17126
        </catValu>
        <labl>
          Activity related to screen printing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17129
        </catValu>
        <labl>
          Other activities relating to finishing of textile n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17131
        </catValu>
        <labl>
          Cotton spinning through charkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17132
        </catValu>
        <labl>
          Weaving of cotton khadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17133
        </catValu>
        <labl>
          Weaving of cotton textiles on handlooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17134
        </catValu>
        <labl>
          Spinning of wool and silk through charkha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17135
        </catValu>
        <labl>
          Weaving of woollen and silk khadi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17136
        </catValu>
        <labl>
          Weaving of wool and silk on handlooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17137
        </catValu>
        <labl>
          Weaving of artificial/synthetic textile fabrics on handlooms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17139
        </catValu>
        <labl>
          Preparation and spinning of textile fibre including weaving of textiles (khadi/handloom), n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17141
        </catValu>
        <labl>
          Bleaching, dyeing and finishing of cotton cloth and yarn by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17142
        </catValu>
        <labl>
          Printing of cloth by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17143
        </catValu>
        <labl>
          Bleaching, dyeing and finishing of woollen textiles by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17144
        </catValu>
        <labl>
          Bleaching, dyeing, printing and finishing of silk textiles by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17145
        </catValu>
        <labl>
          Bleaching, dyeing, printing and finishing of artificial/synthetic textile fabrics by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17149
        </catValu>
        <labl>
          Finishing of textiles (khadi/handloom), n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17211
        </catValu>
        <labl>
          Manufacture of curtains, bed-covers and furnishings.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17212
        </catValu>
        <labl>
          Manufacture of crocheted made up textile goods, except apparel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17213
        </catValu>
        <labl>
          Manufacture of mosquito nets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17214
        </catValu>
        <labl>
          Manufacture of bedding, quilts, pillows, cushions and sleeping bags (manufacture of coir foam mattresses and pillows is classified in class 3610)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17215
        </catValu>
        <labl>
          Manufacture of tarpaulin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17219
        </catValu>
        <labl>
          Manufacture of other made up textile goods except apparel n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17221
        </catValu>
        <labl>
          Manufacture of blankets shawls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17222
        </catValu>
        <labl>
          Manufacture of cotton carpets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17223
        </catValu>
        <labl>
          Manufacture of woollen carpets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17224
        </catValu>
        <labl>
          Manufacture of silk carpets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17225
        </catValu>
        <labl>
          Manufacture of durries, druggets and rugs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17226
        </catValu>
        <labl>
          Manufacture of carpets, rugs and other covering of jute, mesta and coir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17229
        </catValu>
        <labl>
          Manufacture of other floor coverings (including felt) of textile, sannhemp and other kindred fibres n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17231
        </catValu>
        <labl>
          Manufacture of thread, including thread ball making
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17232
        </catValu>
        <labl>
          Manufacture of jute/hemp rope and cordage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17233
        </catValu>
        <labl>
          Manufacture of coir rope and cordage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17234
        </catValu>
        <labl>
          Manufacture of other rope and cordage other of jute/mesta and coir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17235
        </catValu>
        <labl>
          Manufacture of nets(except mosquito net)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17236
        </catValu>
        <labl>
          Manufacture of tapes, newar and wicks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17239
        </catValu>
        <labl>
          Manufacture of other cordage, rope nets etc n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17241
        </catValu>
        <labl>
          Embroidery work by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17242
        </catValu>
        <labl>
          Zari work by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17243
        </catValu>
        <labl>
          Making of laces and fringes by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17249
        </catValu>
        <labl>
          Makin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17251
        </catValu>
        <labl>
          Manufacture of blankets and shawls by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17252
        </catValu>
        <labl>
          Manufacture of cotton carpets by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17253
        </catValu>
        <labl>
          Manufacture of woollen carpets by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17254
        </catValu>
        <labl>
          Manufacture of silk carpets by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17255
        </catValu>
        <labl>
          Manufacture of durries, druggets and rugs by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17259
        </catValu>
        <labl>
          Manufacture of blankets, shawls, carpets, rugs and other similar textile products by hand, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17291
        </catValu>
        <labl>
          Embroidery work and making of laces and fringes other than by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17292
        </catValu>
        <labl>
          Zari work and making of other ornamental trimmings other than by hand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17293
        </catValu>
        <labl>
          Manufacture of linoleum and similar products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17294
        </catValu>
        <labl>
          Manufacture of gas mantles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17295
        </catValu>
        <labl>
          Manufacture of made-up canvas goods such as tents and sails etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17296
        </catValu>
        <labl>
          Manufacture of wadding of textile materials and articles of wadding such as sanitary towels and tampons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17297
        </catValu>
        <labl>
          Manufacture of metallised yarn or gimped yarn; rubber thread or cord covered with textile material; Textile yarn or strip, impregnated, covered or sheathed with rubber or plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17298
        </catValu>
        <labl>
          Manufacture of waterproof textile excluding Tarpaulin.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17299
        </catValu>
        <labl>
          Manufacture of other textiles/textile products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17301
        </catValu>
        <labl>
          Manufacture of knitted and crocheted cotton textile products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17302
        </catValu>
        <labl>
          Manufacture of knitted and crocheted woolen textile products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17303
        </catValu>
        <labl>
          Manufacture of knitted and crocheted synthetic textile products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17309
        </catValu>
        <labl>
          Manufacture of knitted and crocheted textile products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18101
        </catValu>
        <labl>
          Manufacture of all types of textile garments and clothing accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18102
        </catValu>
        <labl>
          Manufacture of rain coats of waterproof textile fabrics or plastic sheetings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18103
        </catValu>
        <labl>
          Manufacture of hats and caps from waterproof
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18104
        </catValu>
        <labl>
          Manufacture of wearing apparel of leather and substitutes of leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18105
        </catValu>
        <labl>
          Custom Tailoring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18109
        </catValu>
        <labl>
          Manufacture of wearing apparel n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Scraping, curying, tanning, bleaching and dyeing of fur and other pelts for the trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Manufacture of wearing apparel of fur and pelts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Manufacture of fur and skin rugs and other similar articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Embroidering and embossing of leather articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Stuffing of animals’ and birds’ hides
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18209
        </catValu>
        <labl>
          Manufacture of other leather and fur products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19111
        </catValu>
        <labl>
          Flaying and curing of raw hides and skins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19112
        </catValu>
        <labl>
          Tanning and finishing of sole leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19113
        </catValu>
        <labl>
          Tanning and finishing of industrial leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19114
        </catValu>
        <labl>
          Vegetable tanning of light leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19115
        </catValu>
        <labl>
          Crome tanning of leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19116
        </catValu>
        <labl>
          Finishing of upper leather, lining leather and garment leather etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19119
        </catValu>
        <labl>
          Other tanning, curing, finishing, embossing and japanning of leather n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19121
        </catValu>
        <labl>
          Manufacture of travel goods like suitcases, bags and holdalls etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19122
        </catValu>
        <labl>
          Manufacture of purses and other ladies’handbags, artistic leather presented articles and novelties etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19123
        </catValu>
        <labl>
          Manufacture of saddlery and harness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19129
        </catValu>
        <labl>
          Manufacture of other consumer goods of leather and substitutes of leather, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19201
        </catValu>
        <labl>
          Manufacture of footwear (excluding repair) except of vulcalized or moulded rubber or plastic. This class includes manufacture of leather shoes, leather sandals and chappals, leather-cum-rubber/plastic cloth sandals and chappals made by and or by any proc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19202
        </catValu>
        <labl>
          Manufacture of footwear made primarily of vulcalized or moulded rubber and plastic. This class includes manufacture of rubber footwear, plastic &amp; PVC, canvas -cum-rubber/plastic footwear etc. including sports footwear.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19209
        </catValu>
        <labl>
          Manufacture of other footwear n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Sawing and planing of wood (other than plywood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Manufacture of unassembled wood flooring, including parquet flooring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20103
        </catValu>
        <labl>
          Manufacture of railway sleepers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20109
        </catValu>
        <labl>
          Activities relating to saw milling and planning of wood n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Manufacture of plywood and veneer sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Manufacture of flush doors and other boards or panels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Manufacture of particle board, fiber board, incl. Densified wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20219
        </catValu>
        <labl>
          Manufacture of other plywood products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20221
        </catValu>
        <labl>
          Manufacture of structural wooden goods (including posts, doors and windows (excluding hewing and rough shaping of poles, bolts and other wood material which is classified under logging)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20222
        </catValu>
        <labl>
          Manufacture of prefabricated buildings predominantly of wood.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20229
        </catValu>
        <labl>
          Manufacture of builder’s carpentary and joinery n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20231
        </catValu>
        <labl>
          Manufacture of wooden boxes, barrels etc. (except plywood)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20232
        </catValu>
        <labl>
          Manufacture of plywood chests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20233
        </catValu>
        <labl>
          Manufacture of market basketry, grain storage bins, ration baskets including baskets made-up from rachis (toddy tree) and similar product made from bamboo and reed etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20239
        </catValu>
        <labl>
          Manufacture of other wooden containers and products made entirely or mainly of cane, rattan, bamboo, willow, fibres, leaves and grass n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20291
        </catValu>
        <labl>
          Manufacture of wooden industrial goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20292
        </catValu>
        <labl>
          Manufacture of cork and cork products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20293
        </catValu>
        <labl>
          Manufacture of bamboo and cane article and fixture of bamboo, cane, reed and grass products (thatching etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20294
        </catValu>
        <labl>
          Manufacture of broomsticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20295
        </catValu>
        <labl>
          Manufacture of wooden agricultural implements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20296
        </catValu>
        <labl>
          Manufacture from cane and bamboo of shopping bags, ornament boxes, costume articles, trays, table lamps, fancy baskets, table mats, tumbler and vessel holders and other household utilities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20297
        </catValu>
        <labl>
          Manufacture of articles made of palm leaf, dhak leaf, screw-leaf; articles of vegetables fibre etc,.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20298
        </catValu>
        <labl>
          Manufacture of products of pith and shalapith
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20299
        </catValu>
        <labl>
          Manufacture of other wood products n.e.c. (including wooden tools, handles, etc. ornaments and household products)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21011
        </catValu>
        <labl>
          Manufacture of pulp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21012
        </catValu>
        <labl>
          Manufacture of paper incl. Printing &amp; writing paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21013
        </catValu>
        <labl>
          Manufacture of newsprint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21014
        </catValu>
        <labl>
          Manufacture of packaging paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21015
        </catValu>
        <labl>
          Manufacture of paper board and straw board
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21016
        </catValu>
        <labl>
          Manufacture of hard board including false board and chip board
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21017
        </catValu>
        <labl>
          Manufacture of special purpose paper/paper products for computers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21019
        </catValu>
        <labl>
          Manufacture of other primary paper materials incl. Composite paper &amp; paper board n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21021
        </catValu>
        <labl>
          Manufacture of sacks &amp; paper bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21022
        </catValu>
        <labl>
          Manufacture of card board boxes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21023
        </catValu>
        <labl>
          Manufacture of corrugated fibre board containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21024
        </catValu>
        <labl>
          Manufacture of corrugated paper board
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21029
        </catValu>
        <labl>
          Manufacture of other containers and boxes of paper or paper board n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21091
        </catValu>
        <labl>
          Manufacture of paper hoops and cones
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21092
        </catValu>
        <labl>
          Manufacture of paper cups, saucers, plates and other similar products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21093
        </catValu>
        <labl>
          Manufacture of other paper and paper board articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21094
        </catValu>
        <labl>
          Manufacture of dolls from pulp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21095
        </catValu>
        <labl>
          Manufacture of papier mache articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21096
        </catValu>
        <labl>
          Manufacture of wall paper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21097
        </catValu>
        <labl>
          Manufacture of file cover/file boards, and similar articles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21098
        </catValu>
        <labl>
          Manufacture of carbonpaper &amp; stationary items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21099
        </catValu>
        <labl>
          Manufacture of other pulp products/special purpose paper n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22110
        </catValu>
        <labl>
          Publishing of books, brochures, musical books and other publications.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22121
        </catValu>
        <labl>
          Publishing of newspapers.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22122
        </catValu>
        <labl>
          Publishing of periodicals and journals.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22130
        </catValu>
        <labl>
          Publishing of recorded media [includes publishing of records and other recorded audio media, publishing of sheet music etc]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22190
        </catValu>
        <labl>
          Other publishing [includes publishing of photos and postcards, greeting cards, time-tables, forms, posters or other printed matters.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Printing but not publishing of newspapers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Printing but not publishing of periodicals, books, journals, directories, atlases, maps and sheet music, schedules and pamphlets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Printing of bank notes, currency notes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22219
        </catValu>
        <labl>
          Printing and allied activities like screen printing other then textile, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22221
        </catValu>
        <labl>
          Engraving, etching and block making etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22222
        </catValu>
        <labl>
          Book binding on account of others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22229
        </catValu>
        <labl>
          Other service activities relating to printing n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22300
        </catValu>
        <labl>
          Reproduction of recorded media [This class includes reproduction of records, audio, video and computer tapes from master copies, reproduction of floppy, hard or compact disks, reproduction of non-customised software and film or compact disks, reproduction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23101
        </catValu>
        <labl>
          Manufacture of coke or semi coke products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Manufacture of other coke oven products e.g. coal, coal tar and other products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23201
        </catValu>
        <labl>
          Production of liquid or gaseous fuels, illuminating oils, lubricating oils or greases or other products from crude petroleum or bituminous minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23202
        </catValu>
        <labl>
          Manufacture of paraffin wax
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23203
        </catValu>
        <labl>
          Bottling of LPG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23209
        </catValu>
        <labl>
          Manufacture of other petroleum products n.e.c. (includes manufacture of petroleum jelly, micro-crystalline petroleum wax, slack wax, ozokerite, lignite wax, petroleum coke, petroleum bitumen and other residues of petroleum oils or of oils obtained from bi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23300
        </catValu>
        <labl>
          Processing of nuclear fuel [includes extraction of uranium metal from pitchblende or other uranium bearing ores; manufacture of alloys, dispersions or mixtures of natural uranium or its compounds; manufacture of enriched uranium and its compounds; plutoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24111
        </catValu>
        <labl>
          Manufacture of industrial gases (includes manufacture of elemental gases, liquid or compressed air, acetylene refrigerant gases and mixed industrial gases etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24112
        </catValu>
        <labl>
          Manufacture of inorganic acids (nitric acid is included in sub-class 24121).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24113
        </catValu>
        <labl>
          Manufacture of tanning or dying extracts; tannings and their derivatives and colouring matter (manufacture of indigo is included)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24114
        </catValu>
        <labl>
          Manufacture of dyes (includes manufacture of such dyes and colouring matters which are for final use by household/industrial/institutional consumers, manufacture of special dyes used in laboratories e.g. to colour microscopic preparations is also include
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24115
        </catValu>
        <labl>
          Manufacture of turpentine and resins of vegetable origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24116
        </catValu>
        <labl>
          Manufacture of organic acids (includes acetic acid); alcohols; phenols and phenol alcohols; methanol and higher alcohols.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Manufacture of basic inorganic chemicals n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Manufacture of industrial monocarboxilic fatty acids, acid oils from refining and industrial fatty alcohols ; Manufacture of glycerine.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Manufacture of basic organic chemicals n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Manufacture of nitric acid, ammonia, commercial ammonium chloride, nitrates of potassium and other basic chemicals of nitrogenous fertilizer industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Manufacture of straight inorganic fertilizers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          Manufacture of urea and other organic fertilizers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Manufacture of mixed, compound or complex fertilizers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24129
        </catValu>
        <labl>
          Manufacture of others fertilizers n.e.c. ( manufacture of pesticides are classified in class 2421)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24131
        </catValu>
        <labl>
          Manufacture of synthetic rubber in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24132
        </catValu>
        <labl>
          Manufacture of amino-resins, phenolic-resins and polyurethanes in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24133
        </catValu>
        <labl>
          Manufacture of cellulose and its chemical derivatives in primary form
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24134
        </catValu>
        <labl>
          Manufacture of natural polymers and modified natural polymer in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24139
        </catValu>
        <labl>
          Manufacture of other plastics in primary forms n.e.c. (including mixtures of synthetic rubber and natural rubber or rubber like gum e.g. balata, in primary forms)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24211
        </catValu>
        <labl>
          Manufacture of insecticides, fungicides and weedicides
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24219
        </catValu>
        <labl>
          Manufacture of other pesticides and agro chemical products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24221
        </catValu>
        <labl>
          Manufacture of prepared pigments, prepared opacifiers and prepared colours, vitrifiable enamels and glazes engobes and similar preparations of a kind used in the ceramic, enamelling or glass industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24222
        </catValu>
        <labl>
          Manufacture of paints, varnishes, enamels or lacquers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24223
        </catValu>
        <labl>
          Manufacture of printing ink (manufacture of writing or drawing ink is classified in sub-class 24299)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24224
        </catValu>
        <labl>
          Manufacture of pigments and other colouring matter of a kind used in the manufacture of paints or by artists or other painters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24229
        </catValu>
        <labl>
          Manufacture of mastics, caulking compounds or similar non-refractory filling or surfacing preparations; prepared other paints/ varnishes removers; organic composite solvents and thinners, and other related products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24231
        </catValu>
        <labl>
          Manufacture of chemical substances used in the manufacture of pharmaceuticals: antibiotics, endocrine products, basic vitamins; opium derivatives; sulpha drugs; ?serums and plasmas; salicylic acid, its salts and esters; glycosides and vegetable alkaloids;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24232
        </catValu>
        <labl>
          Manufacture of allopathic pharmaceutical preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24233
        </catValu>
        <labl>
          Manufacture of ‘ayurvedic’ or ‘unani’ pharmaceutical preparation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24234
        </catValu>
        <labl>
          Manufacture of homoeopathic or biochemic pharmaceutical preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24235
        </catValu>
        <labl>
          Manufacture of veterinary preparations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24236
        </catValu>
        <labl>
          Manufacture of surgical dressings, medicated wadding, fracture bandages, catgut and other prepared sutures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24239
        </catValu>
        <labl>
          Manufacture of other pharmaceutical and botanical products like hina powder etc., n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24241
        </catValu>
        <labl>
          Manufacture of soaps all types (includes medicated soap, household soaps, rosin, naphthenate soaps and industrial soaps)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24242
        </catValu>
        <labl>
          Manufacture of waxes &amp; polishes (includes manufacture of artificial waxes, prepared waxes; polishes and creams for footwear, furniture, floor, coachwork, glass or metals and scouring-pastes/powders and similar preparations)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24243
        </catValu>
        <labl>
          Manufacture of organic surface-active agents (surfactants) and preparations based thereon, detergents, auxiliary cloths) and cleaning preparations (for floors/windows etc.) washing preparations (for rinsing or bleaching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24244
        </catValu>
        <labl>
          Manufacture of perfumes and cologne de-eau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24245
        </catValu>
        <labl>
          Manufacture of preparations for oral or dental hygiene (includes manufacture of toothpastes, toothpowder, mouthwash, oral, perfumes, dental fixative pastes and powders etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24246
        </catValu>
        <labl>
          Manufacture of cosmetics and toileteries (includes manufacture of pre-shave,shaving or after shave preparations; personal deodorants and anti-respirants; perfumed bath salts and other bath preparations; beauty or make-up preparations and preparations for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24247
        </catValu>
        <labl>
          Manufacture of hair oil, shampoo, hair dye etc. (includes manufacture of shampoos, hair sprays, hair fixers, hair oils, hair creams, hair dyes and bleaches and preparations for permanent waving or straightening of the hair etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24248
        </catValu>
        <labl>
          Manufacture of “Agarbatti” and other odoriferous preparations which operate by burning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24249
        </catValu>
        <labl>
          Manufacture of other perfumes and toilet preparations n.e.c. (includes manufacture of scented sachets, perfumed papers, contact lens solution and animal preparations etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24291
        </catValu>
        <labl>
          Manufacture of matches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24292
        </catValu>
        <labl>
          Manufacture of explosive, ammunition and fire works
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24293
        </catValu>
        <labl>
          Manufacture of essential oils; modification by chemical processes (e.g. by oxidation, polymerization etc.) of oils and fats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24294
        </catValu>
        <labl>
          Manufacture of photochemical products such as photographic plates, films, sensitized paper, other sensitized unexposed materials and chemical preparations for photographic use; manufacture of prepared unrecorded media for sound recording and similar recor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24295
        </catValu>
        <labl>
          Manufacture of gelatin and gelatin derivatives, glues of animal origin, prepared glues and other prepared adhesives including adhesives based on rubber or plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24296
        </catValu>
        <labl>
          Manufacture of chemical elements and compounds doped for use in electronics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24297
        </catValu>
        <labl>
          Manufacture of chemical products or preparations of a kind used in the textiles, paper, leather or like industries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24298
        </catValu>
        <labl>
          Manufacture of processed salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24299
        </catValu>
        <labl>
          Manufacture of fine chemicals and other chemical products n.e.c. (including anti-knock preparations, anti-freeze preparations, liquids for hydraulic transmission, composite diagnostic or laboratory reagents, writing or drawing ink, chemical substance used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24301
        </catValu>
        <labl>
          Manufacture of artificial filament tow and staple fibers, not carded or combed.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Manufacture of synthetic filament tow and staple fibers, not carded or combed.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Manufacture of artificial filament yarn, whether or not textured, high tenacity, multiple or cabled.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24304
        </catValu>
        <labl>
          Manufacture of synthetic filament yarn, whether or not textured, high tenacity, multiple or cabled.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24305
        </catValu>
        <labl>
          Manufacture of artificial non-filament or strip (e.g. artificial straw).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24306
        </catValu>
        <labl>
          Manufacture of synthetic non-filament or strip.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24309
        </catValu>
        <labl>
          Manufacture of other man made fibre n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25111
        </catValu>
        <labl>
          Manufacture of tyres and tubes for motor vehicle, tractors and aircrafts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25112
        </catValu>
        <labl>
          Manufacture of tyres and tubes for motor cycles, scooters and three-wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25113
        </catValu>
        <labl>
          Manufacture of tyres and tubes for cycles &amp; cycle rickshaws
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25114
        </catValu>
        <labl>
          Retreading of tyres; replacing of tread on used pneumatic tyres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25119
        </catValu>
        <labl>
          Manufacture of pneumatic tyres and soild or cushion tyres, tyres for animal driven carts (Buggies etc.), tyre parts such as interchangeable tyre treads or tyre flaps; ‘çamel-back’ strips for re -treading tyres; and other tyres and tubes n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25191
        </catValu>
        <labl>
          Manufacture of rubber plates, sheets, strips, rods, tubes, pipes, hoses and profile -shapes etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25192
        </catValu>
        <labl>
          Manufacture of rubber conveyor or transmission belts or belting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25193
        </catValu>
        <labl>
          Manufacture of rubber contraceptives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25194
        </catValu>
        <labl>
          Manufacture of rubber balloons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25199
        </catValu>
        <labl>
          Manufacture of other rubber products n.e.c. (manufacture of rubber surgical and medical equipment is classified in class 3311 while that of uncovered cellular rubber mattresses is classified in class 3610)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25201
        </catValu>
        <labl>
          Manufacture of semi -finished products of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25202
        </catValu>
        <labl>
          Manufacture of packing products of plastics (except household)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25203
        </catValu>
        <labl>
          Manufacture of bathing tubs, wash-basins, lavatory pans and covers, flushing cisterns and similar sanitary-ware of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25204
        </catValu>
        <labl>
          Manufacture of travel goods of plastics (suitcase, vanity bags, holdalls and similar articles)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25205
        </catValu>
        <labl>
          Manufacture of spectacle frames of plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25206
        </catValu>
        <labl>
          Manufacture of moulded industrial accessories of plastics [including electrical insulating fittings of plastics]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25207
        </catValu>
        <labl>
          Manufacture of tableware, kitchenware and other household articles and toilet articles of plastic, including manufacture of vacuum flasks and other vacuum vessels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25208
        </catValu>
        <labl>
          Manufacture of plastic headgear (helmets)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25209
        </catValu>
        <labl>
          Manufacture of polymer/ synthetic / PVC water storage tanks and other plastic products n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Manufacture of glass in primary or semi-manufactured forms (such as sheets &amp; plate glass) including mirror sheets and wired, coloured, tinted, toughened or laminated glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26102
        </catValu>
        <labl>
          Manufacture of glass fibre (including glass-wool) and yarn of glass fibre; non-woven glass fabrics, mats, boards and similar non-woven products therefrom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26103
        </catValu>
        <labl>
          Manufacture of hollow glassware (bottles, jars etc.) for the conveyance or packing of goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26104
        </catValu>
        <labl>
          Manufacture of laboratory or pharmaceutical glassware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26105
        </catValu>
        <labl>
          Manufacture of table or kitchen glassware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26106
        </catValu>
        <labl>
          Manufacture of glass bangles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26107
        </catValu>
        <labl>
          Manufacture of glass decoration pieces and glassware used in imitation jewellery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26109
        </catValu>
        <labl>
          Manufacture of other glassware/glass products: articles of glass used in construction such as glass blocks; clock or watch glasses, optical glass and optical glass elements not optically worked; and other glass products (including glass beads) n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26911
        </catValu>
        <labl>
          Manufacture of articles of porcelain or china, earthenware, imitation porcelain or common pottery, including earthen statues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26912
        </catValu>
        <labl>
          Manufacture of statues and ornamental articles of stone and other stoneware, including writing slates of slatestone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26913
        </catValu>
        <labl>
          Manufacture of ceramic tableware and other articles of a kind commonly used for domestic purposes, including ceramic statuettes and other ornamental articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26914
        </catValu>
        <labl>
          Manufacture of ceramic sanitary wares: sinks, baths, water-closet pans, flushing cistern etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26915
        </catValu>
        <labl>
          Manufacture of ceramic insulators and insulating fittings for electrical machines, appliances and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26916
        </catValu>
        <labl>
          Manufacture of ceramic ware for laboratory chemical or other technical uses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26919
        </catValu>
        <labl>
          Manufacture of other non-structural ceramic ware n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26921
        </catValu>
        <labl>
          Manufacture of refractory bricks, blocks tiles and similar refractory ceramic constructional goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26922
        </catValu>
        <labl>
          Manufacture of refractory cements; ceramic products that can withstand the high temperature encountered in metallurgical operations; retorts, crucibles, muffles, nozzles, tubes, pipes etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26929
        </catValu>
        <labl>
          Manufacture of other refractory ceramic products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26931
        </catValu>
        <labl>
          Manufacture of bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26932
        </catValu>
        <labl>
          Manufacture of non-refractory ceramic pipes, conduits, guttering and pipe fittings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26933
        </catValu>
        <labl>
          Manufacture of ceramic building material, other than bricks: flooring blocks, roofing tiles, wall tiles (whether or not glazed), flags and pavings, mosaic cubes etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26939
        </catValu>
        <labl>
          Manufacture of other structural clay products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26941
        </catValu>
        <labl>
          Manufacture of cement in the form of clinkers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26942
        </catValu>
        <labl>
          Manufacture of portland cement, aluminous cement, slag cement and similar hydraulic cement, except in the form of clinkers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26943
        </catValu>
        <labl>
          Manufacture of asbestos cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26944
        </catValu>
        <labl>
          Manufacture of quicklime, slaked lime and hydraulic lime (excl. chewing lime)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26945
        </catValu>
        <labl>
          Manufacture of plasters consisting of calcined gypsum or calcium sulphate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26949
        </catValu>
        <labl>
          Manufacture of other cement, lime and plaster n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26951
        </catValu>
        <labl>
          Manufacture of plaster statues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26952
        </catValu>
        <labl>
          Manufacture of other plaster products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26953
        </catValu>
        <labl>
          Manufacture of asbestos sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26954
        </catValu>
        <labl>
          Manufacture of R.C.C. bricks and blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26955
        </catValu>
        <labl>
          Manufacture of concrete tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26956
        </catValu>
        <labl>
          Manufacture of hume pipes and other pre-fabricated structural components of cement and/or concrete for building or civil engineering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26957
        </catValu>
        <labl>
          Manufacture of insulation boards of vegetable fibre, straw or wood waste, agglomerated with cement &amp; other mineral binders.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26959
        </catValu>
        <labl>
          Manufacture of other cement and asbestos cement products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26960
        </catValu>
        <labl>
          Cutting, shaping and finishing of stone[ includes cutting, shaping and finishing stone for use in construction, in cemeteries, on roads, as roofing and in other applications]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26991
        </catValu>
        <labl>
          Manufacture of worked mica and mica products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26992
        </catValu>
        <labl>
          Manufacture of gypsum boards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26993
        </catValu>
        <labl>
          Manufacture of millstones, sharpening or polishing stones and natural or artificial abrasive products, including abrasive powder or grain on a base of textile material, paper, paper board or other material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26994
        </catValu>
        <labl>
          Manufacture of graphite products other than electrical articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26999
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27110
        </catValu>
        <labl>
          Manufacture of ferro alloys.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27120
        </catValu>
        <labl>
          Manufacture of Direct Reduced Iron (DRI)/ Sponge Iron and other spongy ferrous products.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27130
        </catValu>
        <labl>
          Manufacture of Pig Iron (hot metal).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27141
        </catValu>
        <labl>
          Manufacture of semi -finished non ally steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27142
        </catValu>
        <labl>
          Manufacture of semi -finished alloy steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27143
        </catValu>
        <labl>
          Manufacture of semi -finished stainless steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27151
        </catValu>
        <labl>
          Manufacture of alloy-steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27152
        </catValu>
        <labl>
          Manufacture of non-alloy steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27153
        </catValu>
        <labl>
          Manufacture of stainless steel of these shapes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27161
        </catValu>
        <labl>
          Manufacture of non-alloy steel hot rolled flat products (including plates, sheets,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27162
        </catValu>
        <labl>
          Manufacture of alloy steel hot rolled flat products (including plates, sheets, strips, wide coils)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27163
        </catValu>
        <labl>
          Manufacture of stainless steel hot rolled flat products (including plated sheets, strips, wide coils)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27164
        </catValu>
        <labl>
          Manufacture of non-alloy steel cold rolled flat products (including sheets, strips,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27165
        </catValu>
        <labl>
          Manufacture of alloy steel cold rolled flat products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27171
        </catValu>
        <labl>
          Manufacture of GP/GC/Zn-Al. coated sheets/ Colour coated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27172
        </catValu>
        <labl>
          Manufacture of Tinplate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27173
        </catValu>
        <labl>
          Manufacture of Tin Free Steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27181
        </catValu>
        <labl>
          Manufacture of non-alloy steel wires
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27182
        </catValu>
        <labl>
          Manufacture of alloy steel wires
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27183
        </catValu>
        <labl>
          Manufacture of stainless steel wires
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27184
        </catValu>
        <labl>
          Manufacture of wires coated with zinc or other materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27190
        </catValu>
        <labl>
          Manufacture of other basic iron and steel n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27201
        </catValu>
        <labl>
          Manufacturing of Copper (includes basic processing, smelting, refining for production of base metal; its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles, wires, tubes, pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27202
        </catValu>
        <labl>
          Manufacturing of Brass (includes the making of brass and its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles, wires, tubes, pipes and tube or pipe fittings)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27203
        </catValu>
        <labl>
          Manufacturing of Aluminum (includes basic processing, smelting, refining for production of base metal; its further rolling, drawing and extruding; and production of powders or flakes, foil, plates, sheets or strip, bars, rods, profiles,wires, tubes, pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27204
        </catValu>
        <labl>
          Manufacturing of Zinc (includes basic processing, smelting, refining for production of base metal; its further processing and production of powders or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27205
        </catValu>
        <labl>
          Manufacture of basic precious metals and by products (gold, silver &amp; metals of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27209
        </catValu>
        <labl>
          Other non-ferrous metal industries n.e.c. (e.g. lead, nickel, manganese etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27310
        </catValu>
        <labl>
          Casting of iron and steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Casting of non-ferrous metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Manufacture of doors, windows and their frames, shutters and rolling shutters ; fire escapes, gates and similar articles of iron or steel used on buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Manufacture of fabricated structural products of iron or steel: bridges and bridge parts, towers, masts, columns, girders, trusses, arches, sluice gates, piers and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Manufacture of fabricated structural products of metal other than of iron or steel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28118
        </catValu>
        <labl>
          Repair and maintenance of structural products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28119
        </catValu>
        <labl>
          Manufacture of other structural metal products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28121
        </catValu>
        <labl>
          Manufacture of containers of metal for compressed or liquified gas such as gas cylinders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28122
        </catValu>
        <labl>
          Manufacture of tanks, reservoirs and similar containers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28123
        </catValu>
        <labl>
          Manufacture of central heating boilers, radiators and its parts and accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28128
        </catValu>
        <labl>
          Repair and maintenance of tanks, reservoirs and containers of metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28129
        </catValu>
        <labl>
          Manufacture of other containers n.e.c. (manufacture of drums, cans,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28131
        </catValu>
        <labl>
          Manufacture of steam or other vapour generating boilers and hot water boilers other than central heating boilers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28132
        </catValu>
        <labl>
          Manufacture of nuclear reactors for all purposes other than isotopes separators (processing of nuclear fuel is classified in 2330)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28133
        </catValu>
        <labl>
          Manufacture of auxiliary plant for use with boilers, such as economizers, super-heaters, steam collectors and accumulators; soot removers, gas recoverers and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28138
        </catValu>
        <labl>
          Repair and maintenance of steam generators, except central heating hot water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28139
        </catValu>
        <labl>
          Manufacture of other steam generators (except central eating hot water boilers) n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28910
        </catValu>
        <labl>
          Forging, pressing , stamping and roll-forming of metal; powder metallurgy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28920
        </catValu>
        <labl>
          Treatment and coating of metals; general mechanical engineering on a fee or contract basis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28931
        </catValu>
        <labl>
          Manufacture of metal articles in and about the house: knives and knife blades; other articles of cutlery; including cleavers and choppers, razors and razor blades, scissors, hair clippers and nail clippers; spoons, forks, ladles, skimmers, fish knives, to
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28932
        </catValu>
        <labl>
          Manufacture of tools of a kind used in agriculture, horticulture or forestry; of a kind used in carpentry, cabinet work or other wood work; of a kind used for mechanical assembly work; of a kind used in sheet metal work; and in other trades
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28933
        </catValu>
        <labl>
          Manufacture of locks, padlocks, keys and other hardware for buildings, furniture, vehicles or other appliances n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28939
        </catValu>
        <labl>
          Manufacture of general hardware n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28991
        </catValu>
        <labl>
          Manufacture of metal fasteners (nails, rivets, tacks, pins, staples, washers and similar non-threaded products and nuts, bolts, screws and other threaded products); springs including semi-finished springs for all purposes other than
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28992
        </catValu>
        <labl>
          Manufacture of containers used for packing or conveyance of goods: casks,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28993
        </catValu>
        <labl>
          drums, pails, cans, boxes etc. (manufacture of railway and ship containers used in container-traffic is classified 3420) Manufacture of reinforced safes, vaults, strongroom doors and gates and the like
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28994
        </catValu>
        <labl>
          Manufacture of metal sanitaryware, including baths, sinks, wash basins, and other metal sanitary and toilet articles, whether or not enamelled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28995
        </catValu>
        <labl>
          Manufacture of metal artware (statues, picture frames, and other decorative articles including trophies)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28996
        </catValu>
        <labl>
          Manufacture of hollow-ware, dinnerware or flatware whether or not of base metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28997
        </catValu>
        <labl>
          plated with precious metal; fry pans, sauce pans, and other metal cooking utensils Manufacture of pressure cookers and other small hand operated kitchen appliances used in preparation, conditioning or serving of food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28998
        </catValu>
        <labl>
          Manufacture of metal goods for office use, other than metal furniture /Repair and maintenance of other fabricated metal products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28999
        </catValu>
        <labl>
          Manufacture of other fabricated metal products n.e.c : metal cable, plaited bands and similar articles; articles made of wire barbed wire, wire fencing etc.): cutlasses, swords, bayonets and similar arms; type foundings metal safety headgear; railway or t
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29111
        </catValu>
        <labl>
          Manufacture of steam engines and turbines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29112
        </catValu>
        <labl>
          Manufacture of reciprocatory or rotary spark-ignition or compression-internal combustion piston engines for use in moving or stationary applications other than for motor-vehicles or aircraft propulsion.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29113
        </catValu>
        <labl>
          Manufacture of parts and accessories of engines and turbines.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29118
        </catValu>
        <labl>
          Repair and maintenance of engines and turbines, except aircraft, vehicle and cycle engines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29119
        </catValu>
        <labl>
          Manufacture of other movers n.e.c. hydraulic turbines, water wheels and their regulatory machinery; gas turbines for marine propulsion or for use as prime movers of electric generators or pumps; boiler-turbine set or a stationary steam engine with integra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29121
        </catValu>
        <labl>
          Manufacture of pumps, compressors, taps and valves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29128
        </catValu>
        <labl>
          Repair and maintenance of pumps, compressors, taps and valves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29131
        </catValu>
        <labl>
          Manufacture of bearings, gears, gearing and driving elements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29138
        </catValu>
        <labl>
          Repair and maintenance of bearings, gears, gearing and driving elements
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29141
        </catValu>
        <labl>
          Manufacture of non-electric furnaces and ovens for roasting, melting or other heat treatment of ores, pyrites, non-metallic minerals, metals or other materials;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29142
        </catValu>
        <labl>
          Manufacture of electric furnaces or ovens, including induction or dielectric furnaces and ovens including incinerators and industrial heaters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29148
        </catValu>
        <labl>
          Repair and maintenance of ovens, furnaces and furnace burners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29149
        </catValu>
        <labl>
          Manufacture of other ovens, furnaces and furnace burners n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29151
        </catValu>
        <labl>
          Manufacture of lifting and handling equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29158
        </catValu>
        <labl>
          Repair and maintenance of lifting and handling equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29191
        </catValu>
        <labl>
          Manufacture of refrigerators or freezing equipment for commercial and other non-household purposes and assemblies of their major components e.g. compressors and condensers mounted on a common platform even though motor, evaporator or cabinet is missing;;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29192
        </catValu>
        <labl>
          Manufacture of domestic air-conditioners.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29193
        </catValu>
        <labl>
          Manufacture of fire extinguishers and other equipment for projecting, dispersing or spraying liquids or powders whether or not hand-operated, including sand blasting machines, stream cleaning machines etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29194
        </catValu>
        <labl>
          Manufacture of centrifuges machinery for liquids and gases, other than cream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29195
        </catValu>
        <labl>
          Manufacture of packing and wrapping machinery including machines which perform one or more of such functions as filling, closing, sealing, capsuling or labelling containers such as bottles, cans, boxes or bags; machinery for cleaning or drying bottles or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29196
        </catValu>
        <labl>
          Manufacture of weighing machinery other than sensitive laboratory balances: household and shop scales, portable or mobile platform scales, scales for continuous weighing of goods, scales for weighing a continuous flow of liquid, weigh bridges and so forth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29197
        </catValu>
        <labl>
          Manufacture of filtering and purifying machinery or apparatus for liquids and gases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29198
        </catValu>
        <labl>
          Manufacture of distilling and rectifying plants; heat exchangers; machinery for liquefying air or gas; producer gas or water gas and acetylene gas generators. /Repair and maintenance of other general purpose machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29199
        </catValu>
        <labl>
          Manufacture of other general purpose machinery: fans intended for industrial applications, exhaust hoods for commercial, laboratory or industrial use; calendering or other rolling machines other than for metals or glass; gaskets and similar joints made of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29211
        </catValu>
        <labl>
          Manufacture of tractors, harvestors and other heavy machinery for use in agricultural and forestry(manufacture of over-the-road tractors for semi -trailers is classified in class 3410)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29212
        </catValu>
        <labl>
          Manufacture of light agricultural and forestry machinery and equipment other than forage press: ploughs, harrows, weeders, hoes, seeders, manure spreaders, thinners etc. Manufacture of animal drawn machinery is included.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29213
        </catValu>
        <labl>
          Manufacture of forage presses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29214
        </catValu>
        <labl>
          Manufacture of parts and accessories for agricultural and forestry machinery and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29218
        </catValu>
        <labl>
          Repair and maintenance of agricultural and forestry machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29219
        </catValu>
        <labl>
          Manufacture of other machinery and equipment for use in agriculture, horticulture or forestry, bee-keeping and fodder preparation n.e.c. (manufacture of hand tools used in agriculture, horticulture and forestry is classified in class 2893).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29221
        </catValu>
        <labl>
          Manufacture of automatic capstans and turrets and lathes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29222
        </catValu>
        <labl>
          Manufacture of boring, broaching, drilling and threading machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Manufacture of milling, planning, shaping, gear cutting and slotting machines.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29224
        </catValu>
        <labl>
          Manufacture of grinding, lapping, honing and polishing machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Manufacture of sawing, contour sawing, filling and cut-off machines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29228
        </catValu>
        <labl>
          Repair and maintenance of machine-tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29229
        </catValu>
        <labl>
          Manufacture of other machine tools n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29231
        </catValu>
        <labl>
          Manufacture of machinery for metallurgy: converters, ingot moulds, ladles and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29238
        </catValu>
        <labl>
          Repair and maintenance of machinery for metallurgy: converters, ingot moulds,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29241
        </catValu>
        <labl>
          Manufacture of lifting and handling machinery specially designed for use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29242
        </catValu>
        <labl>
          underground Manufacture of boring and sinking machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29243
        </catValu>
        <labl>
          Manufacture of machinery for treating minerals by screening, sorting, separating or similar processes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29244
        </catValu>
        <labl>
          Manufacture of bulldozers, angle-dozers and other earth moving machinery;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29245
        </catValu>
        <labl>
          Manufacture of pile drivers, pile excavators and compacting machinery Manufacture of track-laying tractors used in construction or mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29246
        </catValu>
        <labl>
          Manufacture of parts and accessories for machinery/equipment used by
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29248
        </catValu>
        <labl>
          Manufacture of machines used in construction and mining industries Manufacture of machines used in construction n.e.c.: mortar spreaders, road building equipment etc./ Repair and maintenance of machinery for mining, quarrying and construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29249
        </catValu>
        <labl>
          Manufacture of mining/quarrying machinery n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29251
        </catValu>
        <labl>
          Manufacture of machinery for dairy industry and for processing of poultry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29252
        </catValu>
        <labl>
          Manufacture of machinery for processing of tea, coffee and tobacco and for making cigarettes or cigars, or for pipe or chewing tobacco or snuff etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29253
        </catValu>
        <labl>
          Manufacture of machinery chiefly employed by grain milling industry and for the
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29254
        </catValu>
        <labl>
          Manufacture of machinery for manufacture of sugar and for manufacture of bakery and confectionery products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29255
        </catValu>
        <labl>
          Manufacture of machinery for manufacture of fruit/vegetable juices, malt liquors and alcoholic beverages including machinery for processing vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29256
        </catValu>
        <labl>
          Manufacture of parts and accessories of machinery for industrial preparation or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29258
        </catValu>
        <labl>
          Repair and maintenance of machinery for food, beverage and tobacco processing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29259
        </catValu>
        <labl>
          Manufacture of other machinery for beverage and tobacco processing, manufacture of food or drink n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29261
        </catValu>
        <labl>
          Manufacture of machinery for preparation of textile fibers upto spinning stage and other similar machines, including ginning machinery.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29262
        </catValu>
        <labl>
          Manufacture of spinning machines for preparing textile yarns for weaving /knitting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29263
        </catValu>
        <labl>
          Manufacture of weaving machines (looms) including handlooms; machines for making knotted net, tulle lace, braid and other special fabrics. Manufacture of auxiliary machines or equipment for the spinning and weaving machines.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29264
        </catValu>
        <labl>
          Manufacture of machinery for washing, bleaching, dyeing, dressing, finishing coating or impregnating textile yarns, fabrics or made up apparel,; machines for applying paste to the base fabric or other support used in the manufacture of linoleum or simila
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29265
        </catValu>
        <labl>
          Manufacture of sewing and knitting machines: sewing machines of all types (including those for household use) and its heads.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29266
        </catValu>
        <labl>
          Manufacture of machinery for preparing, tanning or working hides, skins and leather; machinery for making or repairing footwear or other articles of hides,skins, leather of furskins.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29267
        </catValu>
        <labl>
          Manufacture of laundry-type washing and drying machines and dry -cleaning machines; ironing machines including fusing presses, (manufacture of centrifugal clothes dryers is classified in class 2929)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29268
        </catValu>
        <labl>
          Manufacture of accessories and parts of all types of machinery for textile, apparel and leather production. / 29268 (A) Repair and maintenance of machinery for textile, apparel and leather production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29269
        </catValu>
        <labl>
          Manufacture of other machinery for textiles, apparel and leather production n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29271
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29278
        </catValu>
        <labl>
          Repair and maintenance of weapons and ammunition
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29291
        </catValu>
        <labl>
          Manufacturing of machinery for working rubber or plastics or for the manufacture of products of these materials.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29292
        </catValu>
        <labl>
          Manufacture of machinery for producing tiles, bricks, shaped ceramic pastes, pipes, graphite electrodes, blackboard chalk, foundry mo ulds etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29293
        </catValu>
        <labl>
          Manufacture of machinery for pulp, paper and paper board industries machinery for producing paper of a given size or shape or for producing articles such as envelopes, bags, boxes or cartons.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29294
        </catValu>
        <labl>
          Manufacture of printing machinery (presses, screen printers and other special printing machines), type-founding machinery; type setting machinery; machines for photo-type setting and composing machines; blocks, plates and cylinders and other printing comp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29295
        </catValu>
        <labl>
          Manufacture of moulding boxes for metal foundry; mould bases; moulding patterns, mould for metals (other than ingot moulds); metal carbides, glass,mineral materials, rubber or plastics and other parts special purpose machinery, not elsewhere classified.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29296
        </catValu>
        <labl>
          Manufacture of cement machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29297
        </catValu>
        <labl>
          Manufacture of pharmaceutical and chemical machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29298
        </catValu>
        <labl>
          Manufacture of centrifugal cloth dryers, machines to assemble electric or electronic lamps, tubes or bulbs in glass envelopes; machines for production of hot-working of glass or glassware; machinery for isotopic separation /Repair and maintenance of other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29299
        </catValu>
        <labl>
          Manufacture of other special purpose machinery, equipment n.e.c. including part and accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29301
        </catValu>
        <labl>
          Manufacture of oil stoves, hurricane lanterns and oil pressure lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29302
        </catValu>
        <labl>
          Manufacture of gas stoves, cooking ranges and other similar appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29303
        </catValu>
        <labl>
          Manufacture of electric fans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29304
        </catValu>
        <labl>
          Manufacture of vacuum cleaners and other electro-mechanical domestic appliances with self-contained electric motors, such as food processors and juice extractors etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29305
        </catValu>
        <labl>
          Manufacture of electro-thermic domestic appliances such as immersion water heaters, hot-plates, geysers ; electro-thermic hair dressing appliances; electric irons and electric/electronic cooking appliances (ovens, micro-wave ovens, cookers, hot plates, to
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29306
        </catValu>
        <labl>
          Manufacture of domestic refrigerators/freezers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29307
        </catValu>
        <labl>
          Manufacturing of items based on solar energy like solar cookers, air/water heating system etc. except cell.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29308
        </catValu>
        <labl>
          Manufacture of other electric domestic appliances n.e.c. : dishwashers, household type laundry equipment, electric razors including parts and accessories for electrical domestic appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29309
        </catValu>
        <labl>
          Manufacture of other (non-electric) domestic appliances n.e.c. and part and accessories for electrical and non-electric domestic appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30001
        </catValu>
        <labl>
          Manufacture of manual or electric/electronic typewriters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30002
        </catValu>
        <labl>
          Manufacture of hectograph or stencil duplicating machines, addressing machines and sheet fed type offset printing machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30003
        </catValu>
        <labl>
          Manufacture of hand-held or desk-top calculating machines; other calculators;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30004
        </catValu>
        <labl>
          Manufacture of photo-copying apparatus incorporating an optical system or of the contact type and thermo -copying apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30005
        </catValu>
        <labl>
          Manufacture of analog data-processing machines comprising analogue elements, control elements and programming elements; additional elements for analogue computers having an input or an output function
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30006
        </catValu>
        <labl>
          Manufacture of complete digital systems comprising a central processing unit, an input unit and an output unit; digital systems which include peripheral units such as additional input/output units, additional storage units etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30007
        </catValu>
        <labl>
          Manufacture of computer peripherals like magnetic disk/floppy/ winchester disk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30008
        </catValu>
        <labl>
          Manufacture of other office machinery and equipment n.e.c. : machines that sort, wrap or count coins; automatic bank note dispensers; machines that stuff envelops, sort mail; pencil sharpeners; document shredders; perforating or stapling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30009
        </catValu>
        <labl>
          Manufacture of automatic data processing machines and other computing machinery, including parts and accessories for computing machinery n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Manufacture of generators/generating sets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31102
        </catValu>
        <labl>
          Manufacture of transformers of all sizes and types &amp; rewinding of electric motors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31103
        </catValu>
        <labl>
          Manufacture of electric motors : universal AC/DC motors and DC motors or generators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31104
        </catValu>
        <labl>
          Manufacture of converters all types (including inverters)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31108
        </catValu>
        <labl>
          Repair and maintenance of electric motors, generators and transformers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31109
        </catValu>
        <labl>
          Manufacture of all types of rectifiers, battery charges, inductors etc. n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31200
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatus [electrical apparatus for switching or protecting electrical circuits (e.g. switches, fuses, voltage limiters, surge suppressors, junction boxes etc.) for a voltage exceeding 1000 volts; simila
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31300
        </catValu>
        <labl>
          Manufacture of insulated wire and cable [insulated (including enamelled or anodized) wire, cable (including coaxial cable) and other insulated conductors; optical fibre cables]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31401
        </catValu>
        <labl>
          Manufacture of electric accumulators : lead-acid, nickel-cadmium, nickel-other accumulators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31402
        </catValu>
        <labl>
          Manufacture of primary cells and primary batteries: cells containing manganese oxide, mercuric oxide, silver oxide or other material
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31403
        </catValu>
        <labl>
          Manufacture of parts and accessories such as separators, containers, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31404
        </catValu>
        <labl>
          Re-charging/re-conditioning of batteries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31409
        </catValu>
        <labl>
          Manufacture of other accumulators, primary cells and primary batteries, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31501
        </catValu>
        <labl>
          Manufacture of electric filament lamps including manufacture of sealed beam lamp units
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31502
        </catValu>
        <labl>
          Manufacture of ultra-violet or infra -red lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31503
        </catValu>
        <labl>
          Manufacture of discharge lamps, florescent, hot-cathode or other discharge lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31504
        </catValu>
        <labl>
          Manufacture of arc lamps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31505
        </catValu>
        <labl>
          Manufacture of flash bulbs used in photography
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31506
        </catValu>
        <labl>
          Manufacture of lighting equipment, illuminated signs, illuminated name -plates and the like; flash light; torch; parts of electric lamps and lighting equipment (manufacture of lighting equipment for cycles and motor vehicles is classified in class 3190) p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31509
        </catValu>
        <labl>
          Manufacture of other electric lamps and lightening equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31901
        </catValu>
        <labl>
          Manufacture of electrical ignition or starling equipment of a kind used for spark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31902
        </catValu>
        <labl>
          Manufacture of electrical lighting (other than sealed beam lamp units) or signaling including sound signaling equipment specialized for use on cycles and motor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31903
        </catValu>
        <labl>
          Manufacture of electrical signaling, safety or traffic control equipment for motorways, railways, inland-waterways, ports and harbors and airports
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31904
        </catValu>
        <labl>
          Manufacture of electro-magnets; electro-magnetic or permanent magnet chucks, clutches, brakes, couplings, clamps or lifting heads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31905
        </catValu>
        <labl>
          Manufacture of wiring sets including wiring sets of a kind used in vehicles, aircraft, ships or other machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31906
        </catValu>
        <labl>
          Manufacture of dynamos for cycles and motor-cycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31907
        </catValu>
        <labl>
          Manufacture of electric sound or visual signaling apparatus (bells, sirens, indicators panels, burglar or fire alarms etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31908
        </catValu>
        <labl>
          Carbon or graphite electrodes, carbon brush, lamp carbons, battery carbon with or without metals used for electronic purpose /Repair and maintenance of other electrical equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31909
        </catValu>
        <labl>
          Manufacture of parts and accessories for electrical equipment included in this class and manufacture of other electrical and electronic equipment such as particle accelerators, signal generators, mine detectors, electrical mine detonators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Manufacture of thermion, cold cathode or photo-cathode valves and tubes (e.g. TV picture tubes, TV camera tubes, image converters and intensifiers, microwave tubes, receiver or amplifier valves or tubes etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Manufacture of electrical capacitors (or condensers); fixed, variable or adjustable.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Manufacture of electrical resistors including rheostats and potentiometers, other than heating resistors.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Manufacture of printed circuits i.e. circuits which are made by forming on an insulating base, by conventional or non-conventional printing process, conductor elements, contacts or other printed elements.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Manufacture of diodes, transistors and similar semi-conductor devices, photo-sensitive semi-conductor devices, including photo-voltaic cells; mounted piezo-electric crystals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Manufacture of electronic integrated circuit and micro-assemblies: monolithic or hybrid and electronic micro-assemblies of moulded module, micro-module or similar types.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32107
        </catValu>
        <labl>
          Manufacture of part and accessories for electronic valves and tubes and other electronic components
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32108
        </catValu>
        <labl>
          Repair and maintenance of electronic valves and tubes and other electronic components
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32109
        </catValu>
        <labl>
          Manufacture of other electronic components n.e.c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32201
        </catValu>
        <labl>
          Manufacture of apparatus for radio broadcasting, television transmission (includes manufacture of relay transmitters and television transmitters for industrial use)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32202
        </catValu>
        <labl>
          Manufacture of transmission apparatus for radio telephony, radio-telegraphy, whether or not incorporating reception apparatus or sound recording or reproducing apparatus; fixed transmitter and transmitter-receivers radio-telephony apparatus for transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32203
        </catValu>
        <labl>
          Manufacture of television cameras of all kinds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32204
        </catValu>
        <labl>
          Manufacture of apparatus for line telephony including such apparatus for carrier-current line systems (includes manufacture of telephone sets, automatic and non-automatic switch boards and exchanges; morse or morse-type keys, other telegraphic transmitter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32205
        </catValu>
        <labl>
          Manufacture of reception apparatus for radio-telephony or radio-telegraphy, including apparatus combined with sound recording or reproducing apparatus or a clock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Repair and maintenance of television and radio transmitters and apparatus for line telephony and line telegraphy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Manufacture of specialized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32301
        </catValu>
        <labl>
          Manufacture of television receivers (including manufacture of video monitors/projectors), whether or not combined in the same housing with radio-broadcast receivers or sound or video recording or reproducing apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32302
        </catValu>
        <labl>
          Manufacture of reception apparatus for radio broadcasting (includes apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32303
        </catValu>
        <labl>
          Manufacture of magnetic tape recorders and other sound recording apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32304
        </catValu>
        <labl>
          Manufacture of video recording or reproducing apparatus(manufacture of video
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32305
        </catValu>
        <labl>
          Manufacture of turn-table (record decks) record/record players, pre-recorded cassettes (audio and video), cassette players and other sound reproducing apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32308
        </catValu>
        <labl>
          Manufacture of specialized parts for equipment classified in this class (pick-ups,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32309
        </catValu>
        <labl>
          Manufacture of microphones, loudspeakers, ear-phone, amplifiers, sound amplifier sets and other sound/video reproducing apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33111
        </catValu>
        <labl>
          Manufacture of apparatus based on the use of X-rays or alpha, beta or gamma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33112
        </catValu>
        <labl>
          Manufacture of instruments and appliances used in medical, surgical, dental or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33113
        </catValu>
        <labl>
          Manufacture of sterilizers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33114
        </catValu>
        <labl>
          Manufacture of mechano-therapy appliances; massage apparatus; artificial respiration or other therapeutic respiratory apparatus; other breathing appliances and gas masks other than simple protective masks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33115
        </catValu>
        <labl>
          Manufacture of orthopaedic appliances including crutches, surgical belts and trusses, orthopaedic corsets and shoes; splints and other fracture appliances; appliances worn, carried or implanted (e.g. hearing aids or pace makers etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33116
        </catValu>
        <labl>
          Manufacture of artificial teeth, artificial limbs and other artificial parts of the body
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33119
        </catValu>
        <labl>
          Manufacture of other medical and surgical equipment and orthopaedic appliances, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33121
        </catValu>
        <labl>
          Manufacture of regulating or controlling instruments and apparatus except industrial process control equipment: thermostats, pressure controllers, level regulators and automatic regulators of electrical quantities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33122
        </catValu>
        <labl>
          Manufacture of supply meters for electricity, water or gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33123
        </catValu>
        <labl>
          Manufacture of sensitive balances and mathematical calculating instruments (e.g. measuring rods and tapes, micrometers, calipers, gauges etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33124
        </catValu>
        <labl>
          Manufacture of radar apparatus and radio remote control apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33125
        </catValu>
        <labl>
          Manufacture of laboratory and scientific instruments and apparatus n.e.c.: microscopes other than optical microscopes; apparatus for measuring and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33126
        </catValu>
        <labl>
          Manufacture of navigational, meteorological, geophysical and related instruments and apparatus oceanographic or hydrological instruments; seismometers, rangefinders, automatic pilots, sextants, ultrasonic sounding instruments and special instruments for a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33127
        </catValu>
        <labl>
          Manufacture of specialised parts and accessories for instruments and apparatus included in this group.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33129
        </catValu>
        <labl>
          Manufacture of other measuring, checking or testing instruments, apparatus or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33130
        </catValu>
        <labl>
          Manufacture of industrial process control equipment [apparatus used for automatic continuous measurement and control of variables such as temperature, pressure, viscosity and the like of materials or products as they are being manufactured or otherwise pr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33201
        </catValu>
        <labl>
          Manufacture of optical elements of glass or of any material; prisms and lenses,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33202
        </catValu>
        <labl>
          Manufacture of spectacle frames and frames fitted with lenses, whether or not the lenses are optically worked (e.g. sun glasses, protective glasses and corrective glasses)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33203
        </catValu>
        <labl>
          Manufacture of optical instruments such as binoculars, monoculors, other optical telescopes and their mountings; optical astronomical instruments; compound
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33204
        </catValu>
        <labl>
          Manufacture of camera for still photography
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33205
        </catValu>
        <labl>
          Manufacture of cinematographic cameras; video cameras; cinematographic projectors, including those incorporating sound reproducing apparatus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33208
        </catValu>
        <labl>
          Manufacture of specialized parts and accessories for photographic/cinematographic and optical instruments, n.e.c. (e.g. discharge lamps and other flashlight apparatus, but not flash bulbs; projection screens etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33209
        </catValu>
        <labl>
          Manufacture of other photographic, cinematographic and optical instruments and apparatus n.e.c.: image projectors, enlargers and reducers including microfilm readers; and apparatus for photographic or cinematographic laboratories)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33301
        </catValu>
        <labl>
          Manufacture of watches and clocks of all kinds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33302
        </catValu>
        <labl>
          Manufacture of parts and accessories for watches and clocks: watch and clock cases, including cases of precious metals; watch and clock movements; metal watch straps, watch bands and watch bracelets including those of precious metals;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33309
        </catValu>
        <labl>
          Manufacture of other watches and clocks n.e.c. : time of day recording apparatus and apparatus for measuring recording etc. of intervals of time with a watch or clock movement or with synchronous motor; time switched with clock or watch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Manufacture of heavy motor vehicles: buses and vans principally designed for transport of persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Manufacture of motor vehicles for the transport of goods: ordinary lorries, trucks and goods vans; lorries with automatic discharging devices, tankers, drop frame lorries, refuse collectors, etc. ; special purpose motor lorries and trucks e.g. motor break
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Manufacture of motor cars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Manufacture of jeeps and station wagons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34105
        </catValu>
        <labl>
          Manufacture of special purpose motor cars such as racing cars, golf cars etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34106
        </catValu>
        <labl>
          Manufacture of chassis fitted with engines for the motor vehicles included in this class
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34107
        </catValu>
        <labl>
          Manufacture of compression-ignition or spark-ignition reciprocating or rotary internal combustion engines used to power motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34109
        </catValu>
        <labl>
          Manufacture of other motor vehicles (excluding motorcycle) and related equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34201
        </catValu>
        <labl>
          Manufacture of bodies (including cabs) designed to be mounted on motor vehicle chassis, bodies for vehicles without chassis and unit construction bodies; bodies for passenger vehicles, lorries and special purpose vehicles; bodies of metal, wood, plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34202
        </catValu>
        <labl>
          Manufacture of trailers and semi-trailers designed to be drawn by mo tor vehicles, including rail-road trailers; parts of trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34203
        </catValu>
        <labl>
          Manufacture of containers (including the containers for the transport of fluids) specially designed and equipped for carriage by one or more modes of transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34209
        </catValu>
        <labl>
          Manufacture of other attachments to motor vehicles n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34300
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and their engines [brakes, gear boxes, axles, road wheels, suspension shock absorbers, radiators, silencers, exhaust pipes, steering wheels, steering columns and steering boxes and other parts and ac
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35111
        </catValu>
        <labl>
          Making including repair of ships and other vessels drawn by power, whether or not used in passenger/freight carriages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35112
        </catValu>
        <labl>
          Making and repair of ships/ vessels drawn by powers for special purposes e.g. warships and auxiliary naval vessels; scientific investigation ships etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35113
        </catValu>
        <labl>
          Building and repairing of non-motorised vessels (i.e. barges), other than pleasure or sporting boats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35114
        </catValu>
        <labl>
          Manufacture of sections for ships or floating structures.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35115
        </catValu>
        <labl>
          Building of vessels the main activity of which is not navigation (e.g. dredgers, floating docks, floating or submersible drilling platforms)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35116
        </catValu>
        <labl>
          Construction of floating structures: pontoons, inflatable rafts, coffer-dams, landing stages, buoys, floating tanks etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35117
        </catValu>
        <labl>
          Conversion, alteration and breaking-up of ships
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35119
        </catValu>
        <labl>
          Other activities relating to building and repairing of ships and boats, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35121
        </catValu>
        <labl>
          Manufacture and repair of pleasure and sporting boats drawn by power
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35122
        </catValu>
        <labl>
          Building and repairing of non-motorised pleasure &amp; sporting boats including inflatable boats and rafts.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35123
        </catValu>
        <labl>
          Manufacture of parts and accessories for pleasure and sporting boats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35129
        </catValu>
        <labl>
          Other activities relating to building and repairing of pleasure &amp; their parts &amp; accessories n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35201
        </catValu>
        <labl>
          Manufacture of rail locomotives: rail locomotives powered from an externalsource of electricity or by electric accumulators; diesel-electric locomotives; rail locomotives powered by compression ignition engines or other means (e.g. gas turbine, steam engi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35202
        </catValu>
        <labl>
          Manufacture of self-propelled railway or tramway coaches, vans and trucks regardless of power source, including manufacture of self-propelled railway or tramway maintenance or service vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35203
        </catValu>
        <labl>
          Manufacture of specialized parts of railway or tramway locomotives or of rolling stock: bogies, axles and wheels, brakes and parts of brakes, hooks and coupling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35204
        </catValu>
        <labl>
          Manufacture of mechanical (including electro-mechanical) signalling safety or traffic control equipment for railways, tramways, roads, inland water ways, parking facilities, port installations or air fields. The activities classified here result tramways,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35208
        </catValu>
        <labl>
          Repair and maintenance of railway and tramway locomotives and rolling stock.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35301
        </catValu>
        <labl>
          Manufacture of aircraft, including flying balloons, gliders, hang gliders and other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35302
        </catValu>
        <labl>
          Manufacture of spacecraft
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35303
        </catValu>
        <labl>
          Manufacture of parts and accessories for aircraft and spacecraft: aircraft launching gear; deck arrestor or similar gear; major assemblies such as fuselages, wings, doors, control surfaces, landing gear and so forth; helicopter rotors etc.; motors and eng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35308
        </catValu>
        <labl>
          Repair and maintenance of aircraft and spacecraft.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35309
        </catValu>
        <labl>
          Manufacture of other air-craft, space craft and parts n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35911
        </catValu>
        <labl>
          Manufacture of motorcycles (including mopeds) and cycles fitted with an auxiliary engine, whether or not with an attached side car (manufacture of helmets is classified in class 2520)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35912
        </catValu>
        <labl>
          Manufacture of scooters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35913
        </catValu>
        <labl>
          Manufacture of three-wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35914
        </catValu>
        <labl>
          Manufacture of engines, side cars and other specialized parts and accessories for motor cycles, scooters and three-wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35919
        </catValu>
        <labl>
          Manufacture of other motor-cycle and parts (including accessories) n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35921
        </catValu>
        <labl>
          Manufacture of bicycles and cycle rickshaws, including racing bicycles and children’s bicycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35922
        </catValu>
        <labl>
          Manufacture of invalid carriages, whether or not motorized or otherwise mechanically propelled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35923
        </catValu>
        <labl>
          Manufacture of parts and accessories for bicycles, cycle -rickshaws and invalid carriages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35929
        </catValu>
        <labl>
          Manufacture of other cycles including tricycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35991
        </catValu>
        <labl>
          Manufacture of bullock-carts, pushcarts, tongas and hand-carts etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35998
        </catValu>
        <labl>
          Repair and maintenance of other transport equipment.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35999
        </catValu>
        <labl>
          Manufacture of other transport equipment n.e.c., including trolleys of various sorts, including those specialized for particular industries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36101
        </catValu>
        <labl>
          Manufacture of furniture &amp; fixtures made of wood, cane &amp; reed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36102
        </catValu>
        <labl>
          Manufacture of furniture and fixtures primarily of metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36103
        </catValu>
        <labl>
          Manufacture of furniture and fixtures, primarily of plastics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36104
        </catValu>
        <labl>
          Manufacture of coir foam mattresses and pillows etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36109
        </catValu>
        <labl>
          Manufacture of photo frame and other furniture &amp; fixtures n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36911
        </catValu>
        <labl>
          Manufacture of gold jewellery : gold, silver and other precious metal jewellery;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36912
        </catValu>
        <labl>
          precious and semi-precious stone jewellery; gold and silver articles including presentation coins but not the coin used as a legal tender Diamond cutting and polishing and other gem cutting and polishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36913
        </catValu>
        <labl>
          Minting of currency coins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36919
        </catValu>
        <labl>
          Manufacture of other jewelry and other articles, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36920
        </catValu>
        <labl>
          Manufacture of musical instruments [this class includes manufacture of keyboard stringed instruments, including automatic pianos, and other stringed instruments, keyboard pipe organs and harmoniums and similar keyboard instruments with free metal reeds, a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36931
        </catValu>
        <labl>
          Manufacture of carrom boards and tables for billiards, table tennis and other parlour games
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36932
        </catValu>
        <labl>
          Manufacture of billiard sticks, hockey sticks, cricket bats, stumps and other cricket accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36933
        </catValu>
        <labl>
          Manufacture of rackets for badminton, lawn tennis, table tennis etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36934
        </catValu>
        <labl>
          Manufacture of balls including those of billiards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36935
        </catValu>
        <labl>
          Manufacture of athletic/gymnasium articles and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36939
        </catValu>
        <labl>
          Manufacture of sports and athletic goods n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36941
        </catValu>
        <labl>
          Manufacture of children’s play equipment including toys and toy musical instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36942
        </catValu>
        <labl>
          Manufacture of wooden toys, decoration pieces and wooden lamp stand etc.[including carved wood articles and articles made from coconut shells]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36949
        </catValu>
        <labl>
          Manufacture of other games and toys n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36991
        </catValu>
        <labl>
          Manufacture of stationery articles n.e.c.: pens and pencils of all kinds, including pencil leads and pen refills; date, sealing or numbering stamps; prepared typewriter ribbons and inked pads and other stationery articles n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36992
        </catValu>
        <labl>
          Manufacture of umbrellas, crops, buttons, press fasteners, snap fasteners, press studs and slide fasteners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36993
        </catValu>
        <labl>
          Manufacture of articles of personal use: smoking pipes; combs, hair slides and similar articles; cigarette lighters; vacuum flasks and other vacuum vessels for personal and household use; articles of human hair and other articles of personal use n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36994
        </catValu>
        <labl>
          Manufacture of linoleum and hard surface floor coverings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36995
        </catValu>
        <labl>
          Making of candles, tapers and the similar products of wax
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36996
        </catValu>
        <labl>
          Manufacture of imitation jewellery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36997
        </catValu>
        <labl>
          Manufacture of brooms and brushes; hand operated mechanical floor sweepers,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36998
        </catValu>
        <labl>
          Manufacture of miscellaneous decorative articles .n.e.c.: articles made from ivory, bones and horns; artificial flowers; garland from natural fresh flowers and other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36999
        </catValu>
        <labl>
          Manufacture of other miscellaneous products, n.e.c.: roundabouts, swings,shooting galleries and other fairground amusements; tailors’ dummies, banners, signboards and other articles n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37100
        </catValu>
        <labl>
          Recycling of metal waste and scrap [from rejected aluminum, utensil, containers ?and other used metallic items etc. Collection of metal waste and scrap for recycling is included in 51498.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37200
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap [from old new papers, rejected glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40101
        </catValu>
        <labl>
          Generation and transmission of electricity: hydro-electric power plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40102
        </catValu>
        <labl>
          Generation and transmission of electricity: coal based thermal power plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40103
        </catValu>
        <labl>
          Generation and transmission of electricity: oil-based thermal power plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40104
        </catValu>
        <labl>
          Generation and transmission of electricity: atomic reactor power plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40105
        </catValu>
        <labl>
          Generation and transmission of electricity: other power plants using conventional fuels (e.g. gas based)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40106
        </catValu>
        <labl>
          Generation of solar energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40107
        </catValu>
        <labl>
          Generation and distribution of bio-gas energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40108
        </catValu>
        <labl>
          Generation of electricity from other non-conventional sources.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40109
        </catValu>
        <labl>
          Collection and distribution of electric energy to households, industrial, commercial and other users n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40200
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through mains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40300
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41000
        </catValu>
        <labl>
          Collection, Purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45101
        </catValu>
        <labl>
          Site preparation in connection with mining [Includes work performed to develop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45102
        </catValu>
        <labl>
          Site preparation other than in connection with mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45201
        </catValu>
        <labl>
          General construction (including alteration, addition, repair and maintenance) of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45202
        </catValu>
        <labl>
          General construction (including alteration, addition, repair and maintenance) of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45203
        </catValu>
        <labl>
          Construction and maintenance of roads, rail-beds, bridges, tunnels, pipelines, rope-ways, ports, harbours and runways etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45204
        </catValu>
        <labl>
          Construction/erection and maintenance of power, telecommunication and transmission lines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45205
        </catValu>
        <labl>
          Construction and maintenance of waterways and water reservoirs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45206
        </catValu>
        <labl>
          Construction and maintenance of hydro-electric projects
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45207
        </catValu>
        <labl>
          Construction and maintenance of power plants, other than hydro-electric power
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45208
        </catValu>
        <labl>
          plants Construction and maintenance of industrial plants other than power plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45209
        </catValu>
        <labl>
          Construction n.e.c. including special trade construction [includes construction and maintenance of sports stadia and other construction not elsewhere classified and special trade construction such as foundation work, water well drilling scaffolding etc. c
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45301
        </catValu>
        <labl>
          Plumbing and drainage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45302
        </catValu>
        <labl>
          Installation of heating and air-conditioning systems, antennas, elevators and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45303
        </catValu>
        <labl>
          Electrical installation work for constructions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45309
        </catValu>
        <labl>
          Other building installation n.e.c. [Includes industrial process piping work, installation of illumination and signaling systems for roads, railways, airports, harbors etc. and installation of certain plants such as electric power and transformer plants, t
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45401
        </catValu>
        <labl>
          Setting of wall and floor tiles or covering with other materials like parquet, carpets, wall paper etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45402
        </catValu>
        <labl>
          Glazing, plastering, painting and decorating, floor sanding and other similar finishing work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45403
        </catValu>
        <labl>
          Finish carpentry such as fixing of doors, windows, panels etc. and other building finishing work n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45500
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operator [Renting of machinery and equipment without operator is classified under Division 71]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50101
        </catValu>
        <labl>
          Wholesale and retail sale of new passenger motor vehicles and lorries, trailers and semi trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50102
        </catValu>
        <labl>
          Activities of the commission agents involved in the sale of new passenger motor vehicles and lorries, trailers and semi trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50103
        </catValu>
        <labl>
          Activities of the dealers in used motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50200
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles [including washing and polishing etc.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50300
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories [Includes wholesale and retail sale of all kinds of parts , components, and accessories for motor vehicles, when not combined with sale of such vehicles themselves.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50401
        </catValu>
        <labl>
          Sale of new motorcycles, scooters and three wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50402
        </catValu>
        <labl>
          Activities of commission agents involved in the sale of motor cycles, scooters and three wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50403
        </catValu>
        <labl>
          Activities of the dealers in used motor cycles, scooters and three wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50404
        </catValu>
        <labl>
          Maintenance and repair of motor cycles, scooters and three wheelers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50500
        </catValu>
        <labl>
          Retail sale of automotive fuel [ includes the activity of petrol filling stations. This activity is often combined with sales of lubricating products, cleaning and all other kinds of products for motor vehicles. If the main object, however, is the sale of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51101
        </catValu>
        <labl>
          Commission agents dealing in agricultural raw material, live animals, food, beverages, intoxicants and textiles.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51102
        </catValu>
        <labl>
          Commission agents dealing in wood, paper, skin, leather and fur, fuel, petroleum products, chemicals, perfumery and cosmetics, glass, minerals, ores and metals.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51103
        </catValu>
        <labl>
          Commission agents dealing in machinery &amp; equipment, other than transport machinery.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51109
        </catValu>
        <labl>
          Commission agents n.e.c. ( Commission agents working in emerging area like e-commerce are classified under 7290)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51211
        </catValu>
        <labl>
          Wholesale of cereals &amp; pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51212
        </catValu>
        <labl>
          Wholesale of un-manufactured tobacco, paan (betel leaf), opium, ganja &amp; cinchona etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51213
        </catValu>
        <labl>
          Wholesale of live animals and poultry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51214
        </catValu>
        <labl>
          Wholesale of straw, fodder &amp; other animal/poultry feed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51215
        </catValu>
        <labl>
          Wholesale of flowers and plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51216
        </catValu>
        <labl>
          Wholesale of hides, skins and leather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51217
        </catValu>
        <labl>
          Wholesale of oilseed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51218
        </catValu>
        <labl>
          Wholesale of sugarcane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51219
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51221
        </catValu>
        <labl>
          Wholesale of fruits &amp; vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51222
        </catValu>
        <labl>
          Wholesale of raw milk &amp; dairy products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51223
        </catValu>
        <labl>
          Wholesale of meat, fish &amp; eggs.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51224
        </catValu>
        <labl>
          Wholesale of confectionery, bakery products and beverages other than intoxicants.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51225
        </catValu>
        <labl>
          Wholesale of edible oils, fats, sugar and processed/manufactured spices etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51226
        </catValu>
        <labl>
          Wholesale of tea, coffee &amp; cocoa.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51227
        </catValu>
        <labl>
          Wholesale of manufactured tobacco &amp; tobacco products.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51228
        </catValu>
        <labl>
          Wholesale of intoxicants like wines and liquors.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51229
        </catValu>
        <labl>
          Wholesale of other basic/manufactured food stuffs n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51311
        </catValu>
        <labl>
          Wholesale of textiles, household linen, articles of clothing,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51312
        </catValu>
        <labl>
          Wholesale of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51391
        </catValu>
        <labl>
          Wholesale of toiletry, perfumery and cosmetics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51392
        </catValu>
        <labl>
          Wholesale of metal, porcelain and glass utensils; crockery and chinaware and household products made from rubber and plastic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51393
        </catValu>
        <labl>
          Wholesale of furniture and fixtures
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51394
        </catValu>
        <labl>
          Wholesale of watches/clocks and optical goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51395
        </catValu>
        <labl>
          Wholesale of radio, television and other consumer electronics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51396
        </catValu>
        <labl>
          Wholesale of paper and other stationery items; books, magazines and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51397
        </catValu>
        <labl>
          newspapers Wholesale of pharmaceutical and medical goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51398
        </catValu>
        <labl>
          Wholesale of precious metals, stones and jewellery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51399
        </catValu>
        <labl>
          Wholesale of other households goods, n.e.c. [Includes wholesale of household equipment and appliances, n.e.c; photographic equipment, games, toys and sports goods (also includes bicycles, cycle rickshaw, tonga &amp; other non-mechanised vehicles); leather goo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51410
        </catValu>
        <labl>
          Wholesale of solid, liquid and gaseous fuels and related products.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51420
        </catValu>
        <labl>
          Wholesale of metals and metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51431
        </catValu>
        <labl>
          Wholesale of wood in the rough and products of primary processing of wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51432
        </catValu>
        <labl>
          Wholesale of building materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51433
        </catValu>
        <labl>
          Wholesale of hardware and sanitary fittings and fixtures and flat glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51434
        </catValu>
        <labl>
          Wholesale of paints, varnishes, and lacquers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51491
        </catValu>
        <labl>
          Wholesale of cotton &amp; Jute fibres including procurement agencies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51492
        </catValu>
        <labl>
          Wholesale of raw wool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51493
        </catValu>
        <labl>
          Wholesale of raw silk.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51494
        </catValu>
        <labl>
          Wholesale of other textile fibres n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51495
        </catValu>
        <labl>
          Wholesale of plastic materials in primary forms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51496
        </catValu>
        <labl>
          Wholesale of industrial chemicals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51497
        </catValu>
        <labl>
          Wholesale of fertilisers and pesticides
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51498
        </catValu>
        <labl>
          Wholesale of waste and scrap &amp; materials for re-cycling (Includes the activities like collecting, sorting, stripping of used goods, packing and repacking, storage and delivery, but without a real transformation.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51511
        </catValu>
        <labl>
          Wholesale of computer and computer peripheral equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51512
        </catValu>
        <labl>
          Wholesale of photocopy and thermocopy machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51513
        </catValu>
        <labl>
          Wholesale of software
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51521
        </catValu>
        <labl>
          Wholesale of electronic valves and tubes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51522
        </catValu>
        <labl>
          Wholesale of semi -conductor device
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51523
        </catValu>
        <labl>
          Wholesale of microchips and integrated circuits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51524
        </catValu>
        <labl>
          Wholesale of printed circuits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51525
        </catValu>
        <labl>
          Wholesale of blank audio and video tapes and diskettes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51526
        </catValu>
        <labl>
          Wholesale of telephone and communications equipments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51591
        </catValu>
        <labl>
          Wholesale of agricultural machinery and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51592
        </catValu>
        <labl>
          Wholesale of transport equipment except motor vehicles and motor cycles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51593
        </catValu>
        <labl>
          Wholesale of construction and civil engineering machinery and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51594
        </catValu>
        <labl>
          Wholesale of machinery and equipment for the textile, wood and metal industries etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51595
        </catValu>
        <labl>
          Wholesale of electrical machinery, equipment and supplies, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51596
        </catValu>
        <labl>
          Wholesale of office machinery and equipment other than computers, computer peripheral equipment and software
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51597
        </catValu>
        <labl>
          Wholesale of scientific, medical and surgical machinery and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51599
        </catValu>
        <labl>
          Wholesale of other machinery, equipment and supplies n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51901
        </catValu>
        <labl>
          Wholesale of lottery tickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51902
        </catValu>
        <labl>
          Wholesale trade via e-commerce
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51909
        </catValu>
        <labl>
          Other wholesale n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52110
        </catValu>
        <labl>
          Retail sale in non-specialized stores with food, beverages or tobacco predominating [Includes mainly the so-called general stores which have, apart from their main sales of groceries, several other lines of merchandise such as
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52190
        </catValu>
        <labl>
          Other retail sale in non-specialized stores [Includes mainly the so-called departmental stores carrying a general line of merchandise, including wearing apparel, appliances, cosmetics, jewellery, toys, sporting goods etc.. Such lines are generally arrange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52201
        </catValu>
        <labl>
          Retail sale of cereals and pulses, tea, coffee, spices, flour and other basic food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52202
        </catValu>
        <labl>
          Retail sale of fresh fruits and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52203
        </catValu>
        <labl>
          Retail sale of meat, fish and poultry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52204
        </catValu>
        <labl>
          Retail sale of sweetmeats &amp; confectionery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52205
        </catValu>
        <labl>
          Retail sale of bakery products, dairy products and eggs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52206
        </catValu>
        <labl>
          Retail sale of aerated water, soft drinks and ice creams
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52207
        </catValu>
        <labl>
          Retail sale of paan, bidi, cigarette, opium, ganja, cinchona etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52208
        </catValu>
        <labl>
          Retail sale of wine and liquor , not consumed on the spot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52209
        </catValu>
        <labl>
          Retail sale of food products n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52311
        </catValu>
        <labl>
          Retail sale of pharmaceutical, medical and orthopedic goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52312
        </catValu>
        <labl>
          Retail sale of perfumery articles, cosmetics and soaps
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52321
        </catValu>
        <labl>
          Retail sale of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52322
        </catValu>
        <labl>
          Retail sale of readymade garments, including hosiery goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52323
        </catValu>
        <labl>
          Retail sale of footwear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52324
        </catValu>
        <labl>
          Retail sale of leather goods and travel accessories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52331
        </catValu>
        <labl>
          Retail sale of crockery, glassware and plastic ware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52332
        </catValu>
        <labl>
          Retail sale of gas stoves, cooking/kitchen appliances and utensils (other than those classified in Sub-class 52331)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52333
        </catValu>
        <labl>
          Retail sale of furniture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52334
        </catValu>
        <labl>
          Retail sale of TV/radio, refrigerators, washing machines and other electric/electronic household goods (retail sale of watches and clocks is included in class 5239)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52335
        </catValu>
        <labl>
          Retail sale of electric goods and supplies n.e.c [includes retail sale of insulated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52339
        </catValu>
        <labl>
          Retail sale of household appliances, articles and equipment n.e.c. [Includes retail sale of sewing and knitting machines; net curtains and diverse household articles of textile materials; wood, cork goods and wickerwork goods and other household utilities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52341
        </catValu>
        <labl>
          Retail sale of construction materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52342
        </catValu>
        <labl>
          Retail sale of hardware, including paints, varnishes, lacquers and do-it-yourself materials and equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52343
        </catValu>
        <labl>
          Retail sale of glass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52391
        </catValu>
        <labl>
          Retail sale of watches and clocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52392
        </catValu>
        <labl>
          Retail sale of computers and non-customized software (supply of specialized software is covered under 722)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52393
        </catValu>
        <labl>
          Retail sale of jewellery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52394
        </catValu>
        <labl>
          Retail sale of photographic, optical and other stores and supplies etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52395
        </catValu>
        <labl>
          Retail sale of firewood, coal and kerosene oil and cooking gases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52396
        </catValu>
        <labl>
          Retail sale of books, magazines and stationery, including distribution of newspapers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52397
        </catValu>
        <labl>
          Retail sale of agricultural inputs (seeds, fertilisers, pesticides), machinery, equipment and tools
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52398
        </catValu>
        <labl>
          Retail sale of sport goods, games and toys
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52399
        </catValu>
        <labl>
          Other retail sale in specialized stores n.e.c. [Includes retail sale of flowers and plants; pet animals; wall paper and floor coverings; bicycles, cycle rickshaw, tonga &amp; other non-mechanised vehicles and other non-food products not elsewhere classified]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52400
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52511
        </catValu>
        <labl>
          Retail sale via mail order houses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52512
        </catValu>
        <labl>
          Retail sale via e-commerce
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52520
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52591
        </catValu>
        <labl>
          Retail sale of lottery tickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52599
        </catValu>
        <labl>
          Other non-store retail sale n.e.c. (Includes retail sale of any kind of product in any way which is not included in the previous classes/sub-classes, such as by salespersons who go from house to house or by vending machines or on a fee or contract basis)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52601
        </catValu>
        <labl>
          Repair of footwear and leather goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52602
        </catValu>
        <labl>
          Repair of household electrical appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52603
        </catValu>
        <labl>
          Repair of TV,VCR, radio, tape recorder, refrigerator and other similar items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52604
        </catValu>
        <labl>
          Repair of watches and clocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52605
        </catValu>
        <labl>
          Repair of bicycles, cycle rickshaws and other non-mechanised vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52609
        </catValu>
        <labl>
          Repair of personal and household goods n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53209
        </catValu>
        <labl>
          Manufacture of other railway and tramway locomotives and rolling stock and their parts n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55101
        </catValu>
        <labl>
          Hotels and motels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55102
        </catValu>
        <labl>
          Inns, Dharmshalas and other places providing short term lodging/ camping facilities open to general public, including those run by religious and charitable organisations (includes provision of short term accommodation in houseboats).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55103
        </catValu>
        <labl>
          Provision of short term lodging/camping facility to members of a particular organisation (includes government guest/rest/circuit houses, company guest houses and similar establishments)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55104
        </catValu>
        <labl>
          Operation of dormitories and/or residence halls/hostels at educational institutions for short-stay.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55109
        </catValu>
        <labl>
          Provision of short-stay accommodation n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55201
        </catValu>
        <labl>
          Restaurants with bars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55202
        </catValu>
        <labl>
          Restaurants without bars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55203
        </catValu>
        <labl>
          Canteens
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55204
        </catValu>
        <labl>
          Activities of caterers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55205
        </catValu>
        <labl>
          Operation of dining cars in the railways and other transport facilities when carried on by separate units
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55206
        </catValu>
        <labl>
          Meals on adhoc fixed site
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55207
        </catValu>
        <labl>
          Meals without premises (Meals on wheels)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55208
        </catValu>
        <labl>
          Cooking services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55209
        </catValu>
        <labl>
          Restaurants, bars and canteens n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60101
        </catValu>
        <labl>
          Passenger railway transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60102
        </catValu>
        <labl>
          Freight railway transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60109
        </catValu>
        <labl>
          Railway transport n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60211
        </catValu>
        <labl>
          Land transport other than urban, sub-urban including underground and elevated railways.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60212
        </catValu>
        <labl>
          Transport of urban sub-urban including underground and elevated railways.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60221
        </catValu>
        <labl>
          Other non-scheduled passenger land transport by motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60222
        </catValu>
        <labl>
          Other non-scheduled passenger land transport, other than by motor vehicles (i.e. by bullock carts, tongas and cycle rickshaws etc.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60231
        </catValu>
        <labl>
          Freight transport by motor vehicles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60232
        </catValu>
        <labl>
          Freight transport other than by motor vehicles (i.e. by man or animal drawn vehicles such as bullock carts, cycle rickshaws and the like)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60300
        </catValu>
        <labl>
          Transport via pipelines [Includes transport of gases, liquids, slurry and other commodities via pipelines. Included are the incidental activities like operation of pump stations and maintenance of the pipeline.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61100
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61200
        </catValu>
        <labl>
          Inland water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62100
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62200
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63011
        </catValu>
        <labl>
          Cargo handling, incidental to land transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63012
        </catValu>
        <labl>
          Cargo handling, incidental to water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63013
        </catValu>
        <labl>
          Cargo handling, incidental to air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63021
        </catValu>
        <labl>
          Warehousing of agricultural products without refrigeration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63022
        </catValu>
        <labl>
          Warehousing of agricultural products with refrigeration (i.e. cold storage )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63023
        </catValu>
        <labl>
          Storage and warehousing n.e.c.[Includes general merchandise warehouses and warehousing of furniture, automobiles, gas and oil, chemicals, text iles etc. Also included is storage of goods in foreign trade zones]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63031
        </catValu>
        <labl>
          Supporting services to land transport such as operation of railway stations, bus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63032
        </catValu>
        <labl>
          Supporting services to water transport such as operation and maintenance of piers, docks, pilotage, and loading and unloading of vessels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63033
        </catValu>
        <labl>
          Supporting services to air transport such as operation and maintenance of terminals, flying facilities, radio bacons, flying control centers and radar stations etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63040
        </catValu>
        <labl>
          Activities of travel agencies and tour operators; tourist assistance activities n.e.c. [Includes furnishing travel information; advice and planning; arranging tours, accommodation and transportation for travellers and tourists; and furnishing tickets etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63090
        </catValu>
        <labl>
          Activities of other transport agencies [Includes forwarding of freight, organisation or arrangement of transport on behalf of the shipper or consignee, receiving and acceptance of freight, transportation document preparation, consolidation and break bulk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64110
        </catValu>
        <labl>
          National post activities [ Postal savings activities and other financial carried out in combination with postal activity is classified in the relevant class under financial inter mediation provided such activities are predominant for the concerned establi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64120
        </catValu>
        <labl>
          Courier activities other than national post activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64201
        </catValu>
        <labl>
          Provision of basic telecom services: telephone, telex and telegraph (includes the
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64202
        </catValu>
        <labl>
          activities of STD/ISD booths) Provision of value added telecom services: paging, e-mail, cellular phone, video conferencing, internet (service directly purchased from internet service providers) etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64203
        </catValu>
        <labl>
          Maintenance of telecom network
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64204
        </catValu>
        <labl>
          Activities of the cable operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65110
        </catValu>
        <labl>
          Central banking
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65191
        </catValu>
        <labl>
          Monetary intermediation of commercial banks, saving banks and discount houses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65192
        </catValu>
        <labl>
          Activities of specialised institutions granting credit for house purchases that also take deposits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65910
        </catValu>
        <labl>
          Financial leasing [Operational leasing is classified in division 71]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65921
        </catValu>
        <labl>
          Activities of hire - purchase financing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65922
        </catValu>
        <labl>
          Activities of housing finance companies. (Granting of credit for house purchase by specialised institutions that do not also take deposits is included here)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65923
        </catValu>
        <labl>
          Activities of commercial loan companies. (included are the activities of the company which is carrying on as its principal business providing of loans or
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65924
        </catValu>
        <labl>
          Activities through credit cards
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65929
        </catValu>
        <labl>
          Other credit activities including pawn shops n.e.c. (Un-incorporated financial institutions in class 6599).
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65991
        </catValu>
        <labl>
          Activities of Mutual Funds including Unit Trust of India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65992
        </catValu>
        <labl>
          Activities of Chit fund/Kuri companies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65993
        </catValu>
        <labl>
          Non-operating financial holding companies (Investment Companies)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65999
        </catValu>
        <labl>
          Other financial intermediation n.e.c. (Provident and insurance services are classified in division 66.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66010
        </catValu>
        <labl>
          Life insurance [This class includes life insurance (including reinsurance) and other long-term insurance, with or without a substantial saving element, including the collection and investment of funds]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66020
        </catValu>
        <labl>
          Pension funding [This class includes the provision of retirement incomes, including activities involving the collection and investment of funds (Funding and administration of compulsory social security programmes are classified in class 7530)]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66030
        </catValu>
        <labl>
          Non-life insurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67110
        </catValu>
        <labl>
          Administration of financial markets. [This class includes the operation and supervision of financial markets other than by public authorities and includes the activities of stock exchanges etc.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67120
        </catValu>
        <labl>
          Security dealing activities. [This class includes dealing in financial market on behalf of others (e.g. stock broking) and related activities.(Dealing in markets on own-account is classified in class 6599)].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67190
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation n.e.c. [This class includes activities of financial advisers, mortgage advisers and brokers, bureaux de change (foreign exchange services) etc.].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67200
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding [This class includes activities involved in or closely related to the management of insurance and pension funding other than financial intermediation and includes activities of insurance agents, averag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70101
        </catValu>
        <labl>
          Purchase, sale letting of leased residential buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70102
        </catValu>
        <labl>
          Purchase, sale letting of leased non-residential buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70103
        </catValu>
        <labl>
          Operating of real estate of self owned residential buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70104
        </catValu>
        <labl>
          Operating of real estate of self owned non-
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70105
        </catValu>
        <labl>
          Developing and subdividing real estate into lots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70106
        </catValu>
        <labl>
          Lessors of real property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70109
        </catValu>
        <labl>
          Real estate activities with own or leased property n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70200
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis. [This class includes buying, selling, renting managing and appraising real estate on a fee or contract basis. This class also includes the service activities provided by Munshi.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71110
        </catValu>
        <labl>
          Renting of land transport equipment [Renting without operator of all kinds of land transport equipment e.g. railroad vehicles cars trucks, trailers and semi -trailers, motor cycles, scooters, including that of containers, caravans and campers.(Renting and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71120
        </catValu>
        <labl>
          Renting of water transport equipment [Renting of water transport equipment with operator is classified in appropriate class of division 61. Renting of pleasure boats and related docking facilities is classified in class 9249].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71130
        </catValu>
        <labl>
          Renting of air transport equipment [Renting of air transport equipment operator is classified in appropriate class of division 62].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71210
        </catValu>
        <labl>
          Renting of agricultural machinery and equipment [Renting of this machinery or equipment with operators is classified in class 0140].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71220
        </catValu>
        <labl>
          Renting of construction and civil engineering machinery and equipment. [Renting of this machinery or equipment with operators is classified in class 4550].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71230
        </catValu>
        <labl>
          Renting of office machinery and equipment [including computers]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71290
        </catValu>
        <labl>
          Renting of other machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71301
        </catValu>
        <labl>
          Renting of tents, electrical appliances, furniture, table ware, crockery and utensils.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71302
        </catValu>
        <labl>
          Renting of video cassettes, CDs, audio cassettes and records etc. ( similar lending activities undertaken by libraries and archives are classified under sub-class 9231)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71303
        </catValu>
        <labl>
          Renting of books, journals and magazines etc. (lending of books is classified under class 9231)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71309
        </catValu>
        <labl>
          Renting of costumes, musical instruments and other personal and household goods including bicycle, footwear n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72100
        </catValu>
        <labl>
          Hardware consultancy.[This class includes consultancy on type and configuration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72211
        </catValu>
        <labl>
          Production, supply and documentation of ready-made (non-customized) software
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72212
        </catValu>
        <labl>
          Production, supply and documentation of ready-made (non-customized) operating systems software
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72213
        </catValu>
        <labl>
          Production, supply and documentation of ready-made (non-customized) software for business &amp; other applications, where the application is by &amp; large spelt out clearly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72214
        </catValu>
        <labl>
          Production, supply and documentation of ready-made (non-customized) computor games software for all platforms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72291
        </catValu>
        <labl>
          Analysis, design and programming of custom software, ready to use, including analysis of the user’s needs and problems, consultancy on the best solution and production of software to realize this solution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72292
        </catValu>
        <labl>
          Development, production, supply and documentation of made-to-order soft-ware based on orders from specific users
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72293
        </catValu>
        <labl>
          Writing of programmes of any kind following directives of the users
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72294
        </catValu>
        <labl>
          Web-page designing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72295
        </catValu>
        <labl>
          Software maintenance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72300
        </catValu>
        <labl>
          Data processing. [This includes the processing or tabulation of all types of data.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72400
        </catValu>
        <labl>
          Database activities and distribution of electronic content [This includes data base development, data storage and data base availability. The provision of data in a certain order/sequence, accessible to everybody or to limited users and can be
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72501
        </catValu>
        <labl>
          Repair &amp; maintenance of computers and computer based systems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72502
        </catValu>
        <labl>
          Repair of office, computing and accounting machinery (including repair of Xerox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72901
        </catValu>
        <labl>
          Activities of cyber cafe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72909
        </catValu>
        <labl>
          Other computer related activities,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73100
        </catValu>
        <labl>
          Research and experimental development on natural sciences and engineering (NSE). [This class includes systematic creative work in the fields of research and development in natural sciences, medical sciences, agriculture and engineering &amp; technology].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73200
        </catValu>
        <labl>
          Research and experimental development on social sciences and humanities (SSH). [This class includes systematic creative work in the fields of research and development in social sciences and humanities.(Market research is classified in
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74110
        </catValu>
        <labl>
          Legal activities.[Legal services such as those rendered by advocates, barristers, solicitors, pleaders, mukhtiars, etc. (Law court activities are classified in class 7523).]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74120
        </catValu>
        <labl>
          Accounting, book-keeping and auditing activities; tax consultancy. [Data processing and tabulation are classified in class 7230; activities involving management consultancy by units that do not provide accounting or auditing services e.g. design of accoun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74130
        </catValu>
        <labl>
          Market research and public opinion polling.[This class includes investigation on market potential, acceptance and familiarity of products and buying habits of consumers for the purpose of sales promotion and development of new products and investigation o
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74140
        </catValu>
        <labl>
          Business and management consultancy activities.[This class includes the provision of advice, guidance or operational assistance to businesses. These activities involve public relations other than by paid advertisements, welfare and charity affairs, politi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74210
        </catValu>
        <labl>
          Architectural and engineering activities and related technical consultancy[Test drilling in connection with petroleum and gas extraction is classified in class 1120, Research and development activities in division 73, Technical testing in class 7499 and I
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74220
        </catValu>
        <labl>
          Technical testing and analysis.[Testing and analysis of medical and dental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74300
        </catValu>
        <labl>
          Advertising.[Printing of advertising material is classified in class 2221, Market research in class 7413, Public relations activities in class 7414, Direct mailing activities in class 7499, Production of commercial messages for radio, television and film
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74910
        </catValu>
        <labl>
          Labour recruitment and provision of personnel. [Activities of farm labour contractors are classified in class 0140; agency activities in class 7499; motion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74920
        </catValu>
        <labl>
          Investigation and security activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74930
        </catValu>
        <labl>
          Building-cleaning and industrial cleaning activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74940
        </catValu>
        <labl>
          Photographic activities. [Includes microfilming, processing motion picture film related to the motion picture and television industries is classified in class 9211].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74950
        </catValu>
        <labl>
          Packaging activities. [Packing activities incidental to transport are classified in class 6309].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74991
        </catValu>
        <labl>
          Auctioning activities of self employed auctioneers.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74992
        </catValu>
        <labl>
          Business brokerage activities, i.e. arranging for the purchase and sale of small and medium-sized businesses. Also included are appraisal activities other than for real estate and insurance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74993
        </catValu>
        <labl>
          Photostat, blue-printing, Xeroxing, copying of documents, ammonia printing and cyclostyling services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74994
        </catValu>
        <labl>
          Fashion design related to textiles, wearing apparel, shoes, jewelry, furniture and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74995
        </catValu>
        <labl>
          Services rendered by liaison offices
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74996
        </catValu>
        <labl>
          Interior decoration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74997
        </catValu>
        <labl>
          Secretarial activities such as telephone answering, stenographic, duplicating &amp;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74999
        </catValu>
        <labl>
          Other business activities n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75111
        </catValu>
        <labl>
          General public service activities of the Union Government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75112
        </catValu>
        <labl>
          General public service activities of the State Governments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75113
        </catValu>
        <labl>
          General public service activities of the local government bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75121
        </catValu>
        <labl>
          Regulatory agencies of the Union government for health, education, cultural and other social services, excluding social security.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75122
        </catValu>
        <labl>
          Regulatory agencies of the State governments for health, education, cultural and other social services, excluding social security.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75123
        </catValu>
        <labl>
          Regulatory agencies of the local government bodies for health, education,cultural and other social services, excluding social security.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75131
        </catValu>
        <labl>
          Regulatory agencies of the Union government for more efficient operation of business.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75132
        </catValu>
        <labl>
          Regulatory agencies of the State government for more efficient operation of business.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75133
        </catValu>
        <labl>
          Regulatory agencies of the local government bodies for more efficient operation of business.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75141
        </catValu>
        <labl>
          Ancillary service activities of the Union government agencies/bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75142
        </catValu>
        <labl>
          Ancillary service activities of the State governments agencies/bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75143
        </catValu>
        <labl>
          Ancillary service activities of the Local government agencies/bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75144
        </catValu>
        <labl>
          Activities of the quasi-government bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75210
        </catValu>
        <labl>
          Foreign affairs [including administration, operation and support for information and cultural services intended for distribution beyond national boundaries and management of economic aid supply to other countries].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75220
        </catValu>
        <labl>
          Defence activities [Educational activities of military schools etc. are classified in
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75231
        </catValu>
        <labl>
          Public order and safety activities of the Union government.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75232
        </catValu>
        <labl>
          Public order and safety activities of the State governments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75301
        </catValu>
        <labl>
          Compulsory social security activities of the Union Government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75302
        </catValu>
        <labl>
          Compulsory social security activities of the State Governments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80101
        </catValu>
        <labl>
          Primary education, including pre-primary &amp; upper-primary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80102
        </catValu>
        <labl>
          Literacy programmes for children who have no opportunity to attend school.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80103
        </catValu>
        <labl>
          Adult education primary level including upper-primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80211
        </catValu>
        <labl>
          General Secondary/Senior Secondary education, generally designed to qualify students either for vocational and technical education or for university entrance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80212
        </catValu>
        <labl>
          General Secondary/Senior Secondary school-type education for handicapped students.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80213
        </catValu>
        <labl>
          Adult education, Secondary/Senior Secondary level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80221
        </catValu>
        <labl>
          Technical and vocational Secondary/Senior Secondary education below the level of university
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80222
        </catValu>
        <labl>
          Technical and vocational school type education for handicapped students
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80223
        </catValu>
        <labl>
          Adult education, Secondary/Senior Secondary level, technical and vocational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80301
        </catValu>
        <labl>
          General higher education in science, commerce and humanity.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80302
        </catValu>
        <labl>
          Higher education in engineering / other technical courses.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80303
        </catValu>
        <labl>
          Higher education in medical/bio-technology and related courses.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80304
        </catValu>
        <labl>
          Higher education in professional/ vocational courses like hotel management, fashion design, secretarial procedures, teacher’s training, law etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80305
        </catValu>
        <labl>
          Higher education in management courses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80306
        </catValu>
        <labl>
          Higher education in information technology courses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80309
        </catValu>
        <labl>
          Higher education n.e.c. viz. oriental studies etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80901
        </catValu>
        <labl>
          Education by correspondence, through radio and television broadcasting and other distance learning media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80902
        </catValu>
        <labl>
          Coaching centres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80903
        </catValu>
        <labl>
          Activities of the individuals providing tuition
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80904
        </catValu>
        <labl>
          Activities relating to training/ education/ conduct of specialised course in computer knowledge
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85110
        </catValu>
        <labl>
          Hospital activities.[Includes the activities of general and specialized hospitals, sanatoria, asylums, rehabilitation centres, dental centres and other health institutions that have accommodation facilities, including military base and prison hospitals].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85121
        </catValu>
        <labl>
          Medical practice activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85122
        </catValu>
        <labl>
          Dental practice activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85191
        </catValu>
        <labl>
          Activities of Ayurveda practitioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85192
        </catValu>
        <labl>
          Activities of Unani practitioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85193
        </catValu>
        <labl>
          Activities of homeopaths
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85194
        </catValu>
        <labl>
          Activities of nurses, physiotherapists or other para-medical practitioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85195
        </catValu>
        <labl>
          Activities of independent diagnostic/pathological laboratories
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85196
        </catValu>
        <labl>
          Activities of independent blood banks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85197
        </catValu>
        <labl>
          Medical Transcription activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85199
        </catValu>
        <labl>
          Other human health activities n.e.c. (including independent ambulance activities)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85200
        </catValu>
        <labl>
          Veterinary activities [including clinico-pathological and other activities pertaining to animals and birds].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85310
        </catValu>
        <labl>
          Social work activities with accommodation. [Includes the activities of orphanages, children boarding homes and hostels, residential nurseries, juvenile correction homes, homes for the aged, homes for physically or mentally handicapped etc. ]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85320
        </catValu>
        <labl>
          Social work activities without accommodation. [Includes a variety of social, counselling, welfare, refugee, referral and similar services to individuals and families in their homes or elsewhere. They may be carried out by government offices or by private
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90001
        </catValu>
        <labl>
          Garbage collection, transportation and disposal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90002
        </catValu>
        <labl>
          Removal of human wastes and their treatment and disposal, including maintenance of sewers and drains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90009
        </catValu>
        <labl>
          Other sanitation activities n.e.c. such as outdoor sweeping and watering of streets etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91110
        </catValu>
        <labl>
          Activities of business and employers organisations [Includes activities of industry associations, chambers of commerce and similar federations ]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91120
        </catValu>
        <labl>
          Activities of professional organisations [This class includes the activities of associations of writers, painters, lawyers, doctors, journalists and other similar organisations]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91200
        </catValu>
        <labl>
          Activities of trade unions [Includes activities of associations whose members are mainly employees, including government employees, interested chiefly in the representation of their views concerning their work situation.]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91910
        </catValu>
        <labl>
          Activities of religious organisations [Includes the activities of religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91920
        </catValu>
        <labl>
          Activities of political organisations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91990
        </catValu>
        <labl>
          Activities of other membership organizations n.e.c. [Includes rotary clubs, student associations, war veterans’ associations, book clubs, philatelic clubs, associations of minority groups, and the activities of other similar associations / organisations n
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92111
        </catValu>
        <labl>
          Motion picture production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92112
        </catValu>
        <labl>
          Motion picture distribution and activities allied to film distribution [excluding film
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92113
        </catValu>
        <labl>
          Video production and distribution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92114
        </catValu>
        <labl>
          Auxiliary activities of motion picture and video production , on a fee or contract
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92115
        </catValu>
        <labl>
          Sound recording studios
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92120
        </catValu>
        <labl>
          Motion picture projection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92131
        </catValu>
        <labl>
          Radio activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92132
        </catValu>
        <labl>
          Television activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92141
        </catValu>
        <labl>
          Stage production and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92142
        </catValu>
        <labl>
          Activities of the individual artists excluding authors such as sculptors, painters, singers, dancers etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92143
        </catValu>
        <labl>
          Literary activities.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92149
        </catValu>
        <labl>
          Dramatic arts, music and other art activities n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92191
        </catValu>
        <labl>
          Operation of circuses and race tracks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92199
        </catValu>
        <labl>
          Video parlours , amusement centres, and other entertainment activities n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92200
        </catValu>
        <labl>
          News agency activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92311
        </catValu>
        <labl>
          Libraries and information centres and archives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92312
        </catValu>
        <labl>
          Audio/video cassette and CD Rom libraries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92321
        </catValu>
        <labl>
          Museum activities [includes the operation of museums of all kinds such as art museums, museums of jewellery, furniture, costumes, ceramic, silverware etc.,natural history and science museums, technological museums, historical museums, military museums and
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92322
        </catValu>
        <labl>
          Preservation of historical sites and buildings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92330
        </catValu>
        <labl>
          Botanical and zoological gardens and nature reserves activities.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92411
        </catValu>
        <labl>
          Operation and maintenance of sports facilities such as stadia, gymnasia, sports clubs and fitness centres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92412
        </catValu>
        <labl>
          Activities of sports and game schools, including specialised sports training centres
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92413
        </catValu>
        <labl>
          Activities relating to organisation and operation of indoor / outdoor sports and promotion and production of sporting events
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92419
        </catValu>
        <labl>
          Other sporting activities n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92490
        </catValu>
        <labl>
          Other recreational activities [Includes fairs and shows of a recreational nature; management and operation of lotteries (bulk and retail sale of lottery tickets are included under wholesale and retail sale respectively) ; gambling and betting activities;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93010
        </catValu>
        <labl>
          Washing and (dry-) cleaning of textile and fur products [including laundry collection and delivery; repair and minor alteration of garments when done in connection with cleaning and carpet and rug shampooing and drapery and curtain cleaning in clients’ pr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93020
        </catValu>
        <labl>
          Hair dressing and other beauty treatment [including facial massage, manicure and pedicure and make-up].
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93030
        </catValu>
        <labl>
          Funeral and related activities [such as operation and maintenance of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93091
        </catValu>
        <labl>
          Social activities such as marriage bureaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93092
        </catValu>
        <labl>
          Pet care services such as boarding, grooming and training pets etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93093
        </catValu>
        <labl>
          Shoe shiners, porters, valet car parkers etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93094
        </catValu>
        <labl>
          Coin-operated personal service machines such as photo booths, weighing machines, blood pressure checking machines etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93095
        </catValu>
        <labl>
          Activities of sauna and steam baths, massage salons etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93096
        </catValu>
        <labl>
          Astrological and spiritualists’ activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93097
        </catValu>
        <labl>
          Activities of aaya, dhai, governess, baby sitter etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93098
        </catValu>
        <labl>
          General household maintenance activities like grooming of the floor, dusting, cleaning of utensils etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95000
        </catValu>
        <labl>
          Activities of private households as employers of domestic staff. [Includes the activities of private households as employers of domestic personnel such as maids, cooks, waiter, valets butlers, laundresses, gardeners, gate-keepers, stable-lads, chauffeurs,
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95001
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95002
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95003
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95004
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95007
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95009
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96000
        </catValu>
        <labl>
          Undifferenciated goods-producing activities of private households for own use. [Includes the undifferenciated subsistence goods-producing activities of households, that is the activities of households, that are engaged in a variety of activities that prod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97000
        </catValu>
        <labl>
          Undifferenciated service-producing activities of private households for own use.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99000
        </catValu>
        <labl>
          Extra territorial organizations and bodies [Includes the activities of international
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          XXXXX
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="NCO_2004_Code" files="F2" intrvl="discrete">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        NCO_2004_Code
      </labl>
      <qstn>
        <ivuInstr>
          Code Description -------------------------- 111 Legislators 112 Administrative &amp; Executive Officials 113 Traditional Chiefs and Heads of Villages 114 Senior Officials of Special- Interest Organisations. 121 Directors and Chief Executives 122 Production and Operations Department Managers 123 Other Department Managers 130 General Managers 211 Physicists, Chemists and Related Professionals 212 Mathematicians, Statisticians and Rela ted Professionals 213 Computing Professionals 214 Architects, Engineers and Related Professionals 221 Life Science Professionals 222 Health Professionals (except nursing) 223 Nursing Professionals 231 College, University and Higher Education Teaching Professionals 232 Secondary Education Teaching Professionals 233 Other Teaching Professionals 241 Business Professionals 242 Legal Professionals 243 Archivists, Librarians and Related Information Professionals 244 Social Science and Related Professionals 245 Writers and Creative or Performing Artists. 246 Religious Professionals 311 Physical and Engineering Science Technicians 312 Computer Associate Professionals 313 Optical and Electronic Equipment Operators 314 Ship and Aircraft Controllers and Technicians 315 Safety and Quality Inspectors 321 Life Science Technicians and Related Health Associat Professionals 322 Modern Health Associate Professionals (Except Nursing) 323 Nursing and Midwifery Associate Professionals 324 Traditional Medicine Practitioners and Faith Healers 331 Middle &amp; Primary Education Teaching Associate Professionals 332 Pre-Primary Education Teaching Associate Professionals 333 Special Education Teaching Associate Professionals 334 Other Teaching Associate Professionals 341 Finance and Sales Associate Professionals 342 Business Services Agents and Trade Brokers 343 Administrative Associate Professionals 344 Customs, Tax and Related Govt. Associate Professionals 345 Police Inspectors and Detectives 346 Social Work Associate Profess ionals 347 Artistic, Entertainment and Sports Associate Professionals 348 Religious Associate Professionals 411 Secretaries and Key Board- Operating Clerks 412 Numerical Clerks 413 Material Recording and Transport Clerks 414 Library, Mail and Related Clerks 421 Cashiers, Tellers and Related Clerks 422 Client Information Clerks 511 Travel Attendants, Guides and Related Workers 512 House Keeping and Restaurant Services Workers 513 Personal Care and Related Workers 514 Other Personal Services Workers 515 Astrologers, Fortune- Tellers and Related Workers 516 Protective Services Workers 521 Fashion and Other Models 522 Shop Salespersons and Demonstrators 523 Stall and Market Salespersons 611 Market Gardners &amp; Crop Growers 612 Market –Oriented Animal Producers and Related Workers 613 Market- Oriented Crop and Animal Producers 614 Forestry and Related Workers 615 Fishery Workers, Hunters and Trappers 620 Subsistence Agricultural and Fishery Workers 711 Miners, Shot -Firers, Stone Cutters and Carvers 712 Building Frame and Related Trades Workers 713 Building Finishers and Related Trades Workers 714 Painters, Building Structure Cleaners and Related Trades Workers 721 Metal Moulders, Welders, Sheet Metal Workers, Structural Metal Preparers and Related Trades Workers 722 Blacksmiths, Toolmakers and Related Trades Workers 723 Machinery Mechanics and Fitters 724 Electrical and Electronic Equipment Mechanics and Fitters 731 Precision Workers in Metal and Related Materials 732 Potters, Glass Makers and Related Trades Workers 733 Handicraft Workers in Wood, Textile, Leather and Related Materials 734 Printing and Related Trades Workers 741 Food Processing and Related Trades Workers 742 Wood Treaters, Cabinet Makers and Related Trades 743 Textile, Garment and Related Trades Workers 744 Pelt, Leather and Shoe Making Trades Workers 811 Mining and Mineral Processing Plant Operators 812 Metal Processing Plant Operators 813 Glass, Ceramics and Related Plant Operators 814 Wood Processing and Paper Making Plant Operators 815 Chemical- Processing- Plant Operators 816 Power Production and Related Plant Operators 817 Automated Assembly Line and Industrial Robot Operators 821 Metal and Mineral Products Machine Operators 822 Chemical Products Machine Operators 823 Rubber and Plastic Products Machine Operators 824 Wood Products Machine Operators 825 Printing, Binding and Paper Products Machine Operators 826 Textile, Fur and Leather Products Machine Operators 827 Food and Related Products Machine Operators 828 Assemblers 829 Other Machine Operators and Assemblers 831 Locomotive Engine Drivers and Related Workers 832 Motor Vehicle Drivers 833 Agricultural and Other Mobile Plant Operators 834 Ships’ Deck Crews and Related Workers 911 Street Vendors and Related Workers 912 Shoe Cleaning and Other Street Services Elementary Occupations 913 Domestic and Related Helpers, Cleaners and Launderers 914 Building Caretakers, Window and Related Cleaners 915 Messengers, Porters, Door Keepers and Related Workers 916 Garbage Collectors and Related Labourers 920 Agricultural, Fishery and Related Labourers 931 Mining and Construction Labourers 932 Manufacturing Labourers 933 Transport Labourers and Freight Handlers 419 Other Office Clerks X00 New Workers Seeking Employment X10 Workers Reporting Occupations Unidentifiable or Inadequately Described X99 Workers Not Reporting Any Occupations XXX Invalid 010 Invalid 033 Invalid 042 Invalid 131 Invalid 151 Invalid 153 Invalid 190 Invalid 219 Invalid 249 Invalid 252 Invalid 300 Invalid 302 Invalid 358 Invalid 371 Invalid 391 Invalid 401 Invalid 409 Invalid 429 Invalid 431 Invalid 499 Invalid 531 Invalid 571 Invalid 573 Invalid 610 Invalid 630 Invalid 649 Invalid 660 Invalid 689 Invalid 793 Invalid 803 Invalid 810 Invalid 851 Invalid 853 Invalid 930 Invalid 988 Invalid 999 Invalid X01 Invalid X02 Invalid X09 Invalid 152 Invalid
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        principal occupation (NCO-2004): The principal household occupation ( three digit) gives a clearer idea of the occupation of the household.
      </txt>
      <catgry>
        <catValu>
          010
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          033
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          042
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Administrative &amp; Executive Officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional Chiefs and Heads of Villages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior Officials of Special- Interest Organisations.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and Chief Executives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and Operations Department Managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other Department Managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          General Managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, Chemists and Related Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, Statisticians and Rela ted Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, Engineers and Related Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life Science Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health Professionals (except nursing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, University and Higher Education Teaching Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary Education Teaching Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Other Teaching Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, Librarians and Related Information Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social Science and Related Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and Creative or Performing Artists.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and Engineering Science Technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and Electronic Equipment Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and Aircraft Controllers and Technicians
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and Quality Inspectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life Science Technicians and Related Health Associat Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern Health Associate Professionals (Except Nursing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and Midwifery Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional Medicine Practitioners and Faith Healers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Middle &amp; Primary Education Teaching Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-Primary Education Teaching Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special Education Teaching Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other Teaching Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and Sales Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business Services Agents and Trade Brokers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, Tax and Related Govt. Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police Inspectors and Detectives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social Work Associate Profess ionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, Entertainment and Sports Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious Associate Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and Key Board- Operating Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material Recording and Transport Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, Mail and Related Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other Office Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, Tellers and Related Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client Information Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel Attendants, Guides and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          House Keeping and Restaurant Services Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal Care and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other Personal Services Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, Fortune- Tellers and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective Services Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and Other Models
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop Salespersons and Demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and Market Salespersons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market Gardners &amp; Crop Growers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market –Oriented Animal Producers and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market- Oriented Crop and Animal Producers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery Workers, Hunters and Trappers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Subsistence Agricultural and Fishery Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, Shot -Firers, Stone Cutters and Carvers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building Frame and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building Finishers and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, Building Structure Cleaners and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal Moulders, Welders, Sheet Metal Workers, Structural Metal Preparers and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, Toolmakers and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery Mechanics and Fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and Electronic Equipment Mechanics and Fitters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision Workers in Metal and Related Materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, Glass Makers and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft Workers in Wood, Textile, Leather and Related Materials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food Processing and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood Treaters, Cabinet Makers and Related Trades
        </labl>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, Garment and Related Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, Leather and Shoe Making Trades Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          793
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and Mineral Processing Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal Processing Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, Ceramics and Related Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood Processing and Paper Making Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical- Processing- Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power Production and Related Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated Assembly Line and Industrial Robot Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal and Mineral Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber and Plastic Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing, Binding and Paper Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile, Fur and Leather Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and Related Products Machine Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other Machine Operators and Assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive Engine Drivers and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor Vehicle Drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and Other Mobile Plant Operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships’ Deck Crews and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street Vendors and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe Cleaning and Other Street Services Elementary Occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and Related Helpers, Cleaners and Launderers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building Caretakers, Window and Related Cleaners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, Porters, Door Keepers and Related Workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage Collectors and Related Labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Agricultural, Fishery and Related Labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and Construction Labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing Labourers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport Labourers and Freight Handlers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          988
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X00
        </catValu>
        <labl>
          New Workers Seeking Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X01
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X02
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X09
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X10
        </catValu>
        <labl>
          Workers Reporting Occupations Unidentifiable or Inadequately Described
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X99
        </catValu>
        <labl>
          Workers Not Reporting Any Occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          XXX
        </catValu>
        <labl>
          Invalid
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="hh_type_code" files="F2" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Household Type
      </labl>
      <qstn>
        <ivuInstr>
          Rural Code Description ----------------------- 11 self-employed in non-agriculture 12 agricultural labour 13 other labour 14 self-employed in agriculture 19 others 1X NR Urban Code Description ------------------------- 21 self-employed 22 regular wage/salary earning 23 casual labour 29 others 2X NR
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The household type code based on the means of livelihood of a household will be decided on the basis of the sources of the household's income during the 365 days preceding the date of survey. For this purpose, only the household's income (net income and not gross income) from economic activities will be considered; but the incomes of servants and paying guests will not be taken into account.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          other labour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V59" name="Religion" files="F2" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: Hinduism .......... 1 Jainism ................. 5 Islam ................. 2 Buddhism ............. 6 Christianity ........ 3 Zoroastrianism ...... 7 Sikhism .............. 4 others .................... 9 X...............NR
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The religion of the household will be recorded against this item in code. If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikkism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V60" name="Social_Group" files="F2" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Social_Group
      </labl>
      <qstn>
        <ivuInstr>
          Whether or not the household belongs to Scheduled Tribes, Scheduled Castes or Other Backward Classes will be indicated against this item in terms of the specified codes which are: Scheduled Tribes - 1, Scheduled Castes - 2, Other Backward Classes - 3, others - 9, NR - X Those who do not come under any one of the first three social groups will be assigned code 9, meant to cover all other categories. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled tribe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled caste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other backward class
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V61" name="Land_possessed_code" files="F2" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Land_possessed_code
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: class interval (hectares) code class interval (hectares) code less than 0.005 01 2.01 to 3.00 07 0.005 to 0.01 02 3.01 to 4.00 08 0.02 to 0.20 03 4.01 to 6.00 10 0.21 to 0.40 04 6.01 to 8.00 11 0.41 to 1.00 05 greater than 8.00 12 1.01 to 2.00 06 NR XX (1 acre » 0.4047 hectare and 1 hectare = 10,000 sq. metre)
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Land possessed: The area of land possessed will include land 'owned', 'leased in' and 'land neither owned nor leased in' (i.e. encroached) by the household but exclude land 'leased out'. The total land area possessed by the household as on the date of survey is taken into account. A piece of land is considered to be owned by the household if permanent heritable possession with or without the right to transfer the title vests in a member or members of the household. Land held in owner-like possession say, under perpetual lease, hereditary tenure, long-term lease for 30 years or more, etc., will also be considered as land owned. For a piece of land under the possession of the household, if the household lacks title of ownership and also does not have lease agreement for the use of land transacted, either verbally or in writing, such land will be considered as 'neither owned nor leased in'. In collecting information regarding land possessed, the actual position as obtained on the date of survey will be considered. It may be noted that the 'area of land possessed' to be recorded should not include the area of land owned, leased-in, etc. by the servants/ paying guests who are considered as normal members of the household.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          below 0.005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          0.005 - 0.01
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          0.02 - 0.20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          0.21 - 0.40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          0.41 - 1.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          1.01 - 2.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          2.01 - 3.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          3.01 - 4.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          4.01 - 6.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          6.01 - 8.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          geater then 8.00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          XX
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V62" name="Dwelling_unit_code" files="F2" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Dwelling_unit_code
      </labl>
      <qstn>
        <ivuInstr>
          The investigator will ask the informant if it is owned, hired or otherwise occupied. If the occupant owns the dwelling unit, code 1 will be recorded against item 8. If it is taken on rent, code 2 will be entered and if it is occupied otherwise, code 9 will apply. However, if any household is found living under trees, bridges, in pipes, etc. it will not be treated as living in dwelling unit. For such households code 3 will be recorded. It may be noted that a dwelling unit constructed on a plot of land which is taken under long-term lease, usually 30 years or more, will be considered as being held in owner-like possession. Similarly, a dwelling unit itself possessed by a household under a long-term lease may be treated as in owner-like possession and code 1 will be applicable in such cases also. The codes for this item are given below: code Description ------------------------------ 1 Owned 2 Hired 3 No Dwelling unit 9 others X NR
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        dwelling unit (code): This item refers only to the dwelling unit or the actual residence of the sample household. The dwelling unit may be an entire structure or may be only a part of a structure.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No Dwelling unit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V63" name="Type_of_dwelling" files="F2" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Type_of_dwelling
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate code will be entered against the item. The codes are: code Description -------------------------------- 1 independent house 2 flat 3 no dwelling 9 others For the definitions of “independent house” and “flat”,
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        type of dwelling (code): The dwelling unit of the household may be an independent house, a flat, or neither of these.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          independent house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          flat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          no dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="Type_of_structure" files="F2" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Type_of_structure
      </labl>
      <qstn>
        <ivuInstr>
          This item is to be filled in code. The codes are: Code Description -------------------------- 1 pucca 2 semi-pucca 3 serviceable katcha 4 unserviceable katcha 5 no structure X NR
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        type of structure (code): Structures have been classified into four categories, namely, pucca, semi-pucca, serviceable katcha and unserviceable katcha, on the basis of materials used for construction.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          pucca
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          semi-pucca
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          serviceable katcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          unserviceable katcha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          no structure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="Covered_area_sq_ft" files="F2" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="78" width="4" RecSegNo="1"/>
      <labl>
        Covered_area_sq_ft
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        covered area (sq. feet: whole number): This will be the sum of the floor areas of all the rooms, kitchen, etc., and verandah located in the house or inside the homestead land and occupied by the household. The covered area may be either owned (including owner-like possession) or rented. It should exclude area owned but rented out. The area will be recorded (to nearest integer) in square feet. The verandah will mean a roofed space adjacent to living/other rooms which is not walled from all sides, that is, with at least one side either open or walled to some height or protected by grille, net, etc.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="Cooking_code" files="F2" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Cooking_code
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: cooking: coke, coal and charcoal- 1, firewood and chips- 2, LPG- 3, gobar gas - 4, dung cake- 5, kerosene- 6, electricity- 7, others- 9, no cooking arrangement- 8, NR - X
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        primary source of energy used for cooking :The code corresponding to the primary source of energy that is used by the household for cooking during the last 30 days preceding the date of survey will be recorded. If more than one type of energy is used, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          coke, coal and charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          firewood and chips
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          LPG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          gobar gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          dung cake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          no cooking arrangement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="Lighting_code" files="F2" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Lighting_code
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: lighting: kerosene -1, other oil -2, gas - 3, candle - 4, electricity - 5, others -9, no lighting arrangement - 6 , NR- X
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Primary source of energy used for lighting: The code corresponding to the primary source of energy that is used by the household for lighting during the last 30 days preceding the date of survey will be recorded. If more than one type of energy is used, the primary or principal one on the basis of its extent of use will have to be identified and the corresponding code will be noted in the appropriate box.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          other oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          candle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          no lighting arrangement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="MPCE_Value" files="F2" dcml="2" intrvl="contin">
      <location StartPos="81" EndPos="88" width="8" RecSegNo="1"/>
      <labl>
        MPCE Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="56.44" max="56072.82"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Household monthly per capita expenditure: Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It also includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from the household consumer expenditure. Monthly per capita expenditure (MPCE) is the household consumer expenditure over a period of 30 days divided by household size.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="ceremony_last_30_day" files="F2" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        ceremony_last_30_day
      </labl>
      <qstn>
        <ivuInstr>
          If the household is found to have performed any ceremony during the last 30 days, code '1' will be recorded against this item. Otherwise, '2' will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A ceremony for the purpose of this item is an occasion on which a large number of meals (not just snacks) were served to non-household members, which significantly affects the household's total expenditure during the last 30 days. The occasion need not be religious.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          performed any ceremony during the last 30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Otherwise
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="Meals_non_hhld_members" files="F2" dcml="0" intrvl="contin">
      <location StartPos="90" EndPos="92" width="3" RecSegNo="1"/>
      <labl>
        Meal to non hh members
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="157"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of meals served to non-household members during the last 30 days: The total number of meals served to non-household members during the last 30 days .
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          500
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          200
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          1500
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          400
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          600
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          750
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          700
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          1100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          800
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          660
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          1800
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          508
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          2455
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          1200
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          550
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="cerea_from_ration" files="F2" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        cerea_from_ration
      </labl>
      <qstn>
        <preQTxt>
          did the household purchase any cereal from ration/fair price shop during the last 30 days?
        </preQTxt>
        <ivuInstr>
          The answer against this question will be recorded in code. The codes are: yes-1, no-2. Purchase of foodgrains by workers from shops run by their employer at concessional or subsidised rates (this is prevalent, for example, in tea garden areas) will not be considered as purchase from ration/fair price shop.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Purchase of food grains by household from PDS (Public Distribution System) shops run by government of India wil be considered as purchase from ration/fair price shop.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="OK_stamp" files="F2" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        OK_stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="Blank" files="F2" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="nss" files="F2" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V75" name="nsc" files="F2" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="mlt" files="F2" dcml="0" intrvl="contin">
      <location StartPos="98" EndPos="105" width="8" RecSegNo="1"/>
      <labl>
        mlt
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="Multiplier" files="F2" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="114" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Calculated multiplier Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="HH_ID" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="HH_Member_ID" files="F3" intrvl="discrete">
      <location StartPos="10" EndPos="20" width="11" RecSegNo="1"/>
      <labl>
        Household Person Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is a generated field as a unique identification code for each member. Common Primary Key for identification of a record made by the combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2) Person Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="centre_code" files="F3" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Centre Code
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="FSUno" files="F3" intrvl="discrete">
      <location StartPos="24" EndPos="28" width="5" RecSegNo="1"/>
      <labl>
        first stage units
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="Round" files="F3" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="Schedule_no" files="F3" intrvl="discrete">
      <location StartPos="31" EndPos="33" width="3" RecSegNo="1"/>
      <labl>
        SCHEDULE 1.0
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given to the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="Sample" files="F3" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1-Rural and 2-Urban
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="State" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code State Name ----------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V87" name="State_Region" files="F3" intrvl="discrete">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        Sate region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name ----------------------------- 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="district" files="F3" intrvl="discrete">
      <location StartPos="41" EndPos="45" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name ------------------------------ 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V90" name="Sub_Stratum" files="F3" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V91" name="Sub_Round" files="F3" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <ivuInstr>
          The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="Sub_Sample" files="F3" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide and independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V93" name="FOD_Sub_Region" files="F3" intrvl="discrete">
      <location StartPos="52" EndPos="55" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="hg_sb_No" files="F3" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="Second_Stage_Stratum" files="F3" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V96" name="HHS_No" files="F3" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V97" name="Level" files="F3" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="Filler" files="F3" intrvl="discrete">
      <location StartPos="62" EndPos="64" width="3" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V99" name="Person_SlNo" files="F3" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Person Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        serial number: All the members of the sample household given continuous serial number. In the list, the head of the household appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children and so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="Relation_tohead" files="F3" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Relation to HH head
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: self ................................ 1 grandchild ...................................................... 6 spouse of head............... 2 father/mother/father-in-law/mother- in-law ... 7 married child ................ 3 brother/sister/brother-in-law/sister-in-law spouse of married child .. 4 /other relatives....... 8 unmarried child .............. 5 servant/employees/other non-relatives ........... 9
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        relation to head (code):It is the relationship of each member of the household to the head of the household (for the head, the relationship is 'self').
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          self
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          spouse of head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          married child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          spouse of married chil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          unmarriedchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          father/mother/father-in-law/mother-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          brother/sister/brother-in-law/sister-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          servants/employees/other non relatives
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V101" name="Sex" files="F3" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <ivuInstr>
          sex (male-1, female-2): The sex of each member of the household.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        sex (male-1, female-2): The sex of each member of the household .
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="Age" files="F3" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="71" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="115"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        age (years): The age in completed years of all the members listed will be ascertained and recorded in this column. For infants below one year of age, '0' will be entered. Ages above 99 will be recorded in three digits.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="Marital_Status" files="F3" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Marital Status
      </labl>
      <qstn>
        <ivuInstr>
          The codes are: never married - 1, currently married - 2, widowed - 3, divorced/separated - 4.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        marital status (code): The marital status of each member of the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          currently married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          divorced/separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="Education" files="F3" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        General Education Level
      </labl>
      <qstn>
        <ivuInstr>
          The relevant codes to be used for recording entries in this column are: not literate -01, literate without any schooling -02, literate without formal schooling: through NFEC/AIEP -03, literate through TLC/AEC -04, others -05, literate with formal schooling including EGS: below primary -06, primary -07, upper primary/ middle -08, secondary -10, higher secondary -11, diploma/certificate course -12, graduate -13, postgraduate and above -14.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        general educational level (code): Information regarding the level of general education attained by the members of the household listed will be recorded in this column. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., educational attainment will be considered as 'higher secondary' (code 10). For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, educational attainment will be considered under 'secondary' (code 08). The relevant codes to be used for recording entries in this column are: not literate -01, literate without any schooling -02, literate without formal schooling: through NFEC/AIEP -03, literate through TLC/AEC -04, others -05, literate with formal schooling including EGS: below primary -06, primary -07, upper primary/ middle -08, secondary -10, higher secondary -11, diploma/certificate course -12, graduate -13, postgraduate and above -14 , NR - XX A person who can both read and write a simple message with understanding in at least one language is to be considered literate. Those who are not able to do so are to be considered not literate and will be assigned code 01. Those who achieve literacy without any schooling will be given code 02. Some persons achieve literacy by attending Non-formal Education Courses (NFEC) or Alternative Innovative Education Programme (AIEP). Such persons will be given code 03. Those who achieve literacy through Adult Education Centres (AEC) or Total Literacy Campaign (TLC) will be given code 04. Those who achieve literacy without any formal schooling and not through NFEC/AIEP/TLC/AEC will be given code 05. Those who are by definition literate through formal schooling but are yet to pass primary standard examination will be assigned code 06. Similarly codes 07, 08, and 10 to 14 will be assigned to those who have passed the appropriate levels. The criteria for deciding primary, middle, secondary, etc. levels will be that followed in the concerned States/Union Territories. Persons who have attained proficiency in Oriental languages (e.g., Sanskrit, Persian, etc.) through formal but not through the general type of education will be classified appropriately at the equivalent level of general education standard. To those who have completed some diploma or certificate course in general, technical education or vocational education which is equivalent to below graduation level, code 12 will be assigned. On the other hand, code 13 will be given to those who have obtained degree or diploma or certificate in general, technical education or vocational education, which is equivalent to graduation level. Similarly, code 14 will be assigned to those who have obtained degree or diploma or certificate in general or technical education, which is equivalent to post-graduation level and above.
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          not literate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          literate without formal schooling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          literate without formal schooling: through literate without formal schoolingNFEC/AIEP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          literate without formal schooling:through TLC/ AEC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          literate with formal schooling including EGS: below primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          upper primary/middle -08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          higher secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          diploma/certificate course
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          graduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          postgraduate and above
        </labl>
      </catgry>
      <catgry>
        <catValu>
          XX
        </catValu>
        <labl>
          NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V105" name="Days_Stayed_away" files="F3" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        number of days stayed away from home during last 30 days
      </labl>
      <qstn>
        <ivuInstr>
          number of days stayed away from home during last 30 days: The number of days for which the member 'stayed away from home' during the 30 days preceding the date of enquiry should be recorded here. A continuous absence from home for 24 hours will be reckoned as a 'day stayed away'. That is, the entry will be made in completed number of days and any fraction of a day will be ignored. The location of the place where the person stayed, having been away from his/her own household, may also be within the same village/town and staying away will not only mean physical absence but also non-participation in food consumption from his/her own household. For example, if a member stayed away for two days, but consumed food prepared at home during these two days, then that member will not be considered for this item as staying away. For members who did not stay away for even 1 day during the last 30 days, 0 will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        number of days stayed away from home during last 30 days: The number of days for which the member 'stayed away from home' during the 30 days preceding the date of enquiry . A continuous absence from home for 24 hours will be reckoned as a 'day stayed away'.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="No_of_Meals_per_day" files="F3" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        No of meal per day
      </labl>
      <qstn>
        <ivuInstr>
          number of meals usually taken in a day: The number of meals consumed by a person is usually reported as 2 or 3. For a person who takes food only once in a day, the entry will be 1. One may also come across a person who takes food more than three times a day. For such persons, however, only 3 should be entered. That is, in this column, the recorded number of meals taken in a day, even if it is reported to be higher, should not exceed 3. In addition, for infants of age '0' as well as for children who subsist on milk only, '0' may be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        number of meals usually taken in a day: The number of meals consumed by a person is usually reported as 2 or 3. For a person who takes food only once in a day, the entry will be 1. One may also come across a person who takes food more than three times a day.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="Meals_School" files="F3" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Meal at School
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        There are schools/balwadis, etc. which provide standard food to all or some students as midday meal, tiffin, etc. free or at subsidised rate. Such meals are to be considered as meals taken away from home. If such food is received freeis called meal at school.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="Meals_Employer" files="F3" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Meal by Employer
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sometimes meals are provided by the employer. These may be as perquisites or as part of wages in kind. These meals are generally consumed at the place of work and are to be considered as meals taken away from home. It may not be rare that meals provided by the employer are brought home by the employees and consumed there. Such meals are also to be considered as meals taken away from home.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V109" name="Meals_Others" files="F3" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Meal at institution
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        There are institutions which provide canteen facilities to their students. Students can purchase food of their choice and to their requirements from those canteens on payment.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="Meals_Payment" files="F3" intrvl="discrete">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        Meal recieved on payment
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        meals received on payment' will mean that the informant has to incur some expense or part with a certain portion of his salary/wage for getting the meals. Meals purchased from hotel, restaurant or an eating-house will be considered as 'meals taken away from home on payment'
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V111" name="Meals_atHome" files="F3" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Meal at home
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of meals taken at home by each member of the household during the period of 30 days preceding the date of survey will be recorded. A meal will be considered to be taken at home if the meal is prepared at home irrespective of the place where it is consumed.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V112" name="OK_stamp" files="F3" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        OK Stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="Blank" files="F3" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        blank record
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="nss" files="F3" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="nsc" files="F3" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V116" name="mlt" files="F3" dcml="0" intrvl="contin">
      <location StartPos="91" EndPos="98" width="8" RecSegNo="1"/>
      <labl>
        posted multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="Multiplier" files="F3" dcml="2" intrvl="contin">
      <location StartPos="99" EndPos="107" width="9" RecSegNo="1"/>
      <labl>
        multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="HH_ID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="centre_code" files="F4" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V120" name="FSUno" files="F4" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        First Stage Unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="Round" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="Schedule_Number" files="F4" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        SCHEDULE 1.0
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given to the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1-Rural and 2-Urban
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V125" name="State" files="F4" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code State Name ----------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V126" name="State_Region" files="F4" intrvl="discrete">
      <location StartPos="25" EndPos="27" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name -------------------------------- 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V127" name="District" files="F4" intrvl="discrete">
      <location StartPos="80" EndPos="84" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is a sub-division of state
      </txt>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V128" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V129" name="Sub_Stratum" files="F4" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V130" name="Sub_Round" files="F4" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="Sub_Sample" files="F4" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide and independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="FOD_Sub_Region" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="39" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="hg_sb_No" files="F4" intrvl="discrete">
      <location StartPos="40" EndPos="40" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V134" name="Second_Stage_Stratum" files="F4" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="HHS_No" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="Level" files="F4" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V137" name="Filler" files="F4" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="Item_Code" files="F4" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <qstn>
        <ivuInstr>
          Code Item Name --------------------------- 101 Rice-PDS(Kg) 102 Rice-other sources(Kg) 103 Chira(Kg) 104 Khoi, lava(Kg) 105 Muri(Kg) 106 Other rice products(Kg) 107 Wheat/atta - P.D.S 108 Wheat/atta - other sources 110 Maida(Kg) 111 suji, rawa(Kg) 112 sewai, noodles(Kg) 113 bread(bakery)(Kg) 114 other wheat products(Kg) 115 jowar &amp; products(Kg) 116 bajra &amp; products(Kg) 117 maize &amp; products(Kg) 118 cornflakes(Kg) 120 barley &amp; products(Kg) 121 small millet &amp; products(Kg) 122 ragi &amp; products(Kg) 123 other cereals(Kg) 129 Cereal(s.t) 139 Cereal Substitute tapioca, jackfruit, etc. 140 arhar (tur)(Kg) 141 gram (split grain)(Kg) 142 gram (whole)(Kg) 143 moong(Kg) 144 masur(Kg) 145 urd(Kg) 146 peas(Kg) 147 soyabean(Kg) 148 khesari(Kg) 150 other pulses(Kg) 151 gram products(kg) 152 besan(Kg) 153 other pulse products(Kg) 159 Pulses and Pulse Products(s.t) 160 milk : liquid(litre) 161 baby food(Kg) 162 milk : cond./powder(Kg) 163 curd(Kg) 164 ghee(Kg) 165 butter(Kg) 166 ice cream (no.) 167 other milk products(Kg) 169 Milk &amp; Milk Products(s.t) 170 vanaspati,margarine(Kg) 171 mustard oil(Kg) 172 groundnut - oil (Kg) 173 coconut oil(Kg) 174 sunflower/soyabean oil(kg) 175 rice bran oil (kg) 176 edible oil others(Kg) 179 edible oil (s.t)(Kg) 180 eggs (no.) 181 fish, prawn(Kg) 182 goat meat /mutton(Kg) 183 beef / buffalo meat(Kg) 184 pork(Kg) 185 chicken(Kg) 186 others ( birds, crab, oyster, tortoise etc 189 Meat,Egg,Fish(s.t) 190 potato(Kg) 191 onion(Kg) 192 radish(Kg) 193 carrot(Kg) 194 turnip(Kg) 195 beet(Kg) 196 sweet potato(Kg) 197 arum(Kg) 198 pumpkin(Kg) 200 gourd(Kg) 201 bitter gourd(Kg) 202 cucumber(Kg) 203 parwal/patal(Kg) 204 jhinga/torai(Kg) 205 snake gourd(Kg) 206 papaya ( green)(Kg) 207 cauliflower(Kg) 208 cabbage(Kg) 210 brinjal(Kg) 211 lady's finger(Kg) 212 palak/other leafy vegetable(Kg) 213 french beans &amp; barbati(Kg) 214 tomato(Kg) 215 peas(Kg) 216 chilli(green)(Kg) 217 capsicum(Kg) 218 plantain(green)(Kg) 220 jackfruit(green)(Kg) 221 lemon(no.) 222 other vegetables(Kg) 229 vegetables(s.t) (Kg) 230 banana (no.) 231 jackfruit(Kg) 232 water melon(Kg) 233 pineapple (no.) 234 coconut (no.) 235 coconut green (no.) 236 guava(Kg) 237 singara(Kg) 238 orange , mausambi etc (no.) 240 Papaya (Kg.) 241 mango(Kg) 242 kharbooza(Kg) 243 pears (naspati)(Kg) 244 berries(Kg) 245 leechi(Kg) 246 apple(Kg) 247 grapes(Kg) 248 other fresh fruits(Kg) 249 fresh fruits(s.t)(Kg) 250 coconut (copra)(Kg) 251 groundnut(Kg) 252 dates(Kg) 253 cashew nut(Kg) 254 walnut(Kg) 255 other nuts(Kg) 256 raisin, (kishmish, monacca etc)(Kg) 257 other dry fruits (Kg) 259 dry fruits(s.t) (Kg) 260 sugar - PDS(Kg) 261 sugar - other sources(Kg) 262 gur (cane)(Kg) 263 candy (misri)(Kg) 264 honey(Kg) 269 sugar (s.t)(Kg) 279 salt(s.t) (Kg) 280 turmeric (gm) 281 black pepper (gm) 282 dry chillies / pepper (gm) 283 garlic (gm) 284 tamarind (gm) 285 ginger (gm) 286 curry powder (gm) 287 oilseeds (gm) 288 other spices (gm) 289 spices(s.t) (gm) 290 tea :cups (no.) 291 tea : leaf (gm) 292 coffee : cups (no.) 293 coffee : powder (gm) 294 mineral water(litre) 295 cold beverage : bottled or canned (litre) 296 fruit juice and shake (litre) 297 other beverages( cocoa, chocolate,bournvit 298 chocolate,ozenge,etc, sugar sudstitutes 300 biscuit Confectionary (cash purchase in Rs 301 prepared sweets(Kg) 302 cooked meal as assistance or payment(no.) 303 cooked meals purchased (no.) 304 salted refreshment 305 pickles (gm) 306 sauce (gm) 307 jam/jelly (gm) 308 other processed food 309 beverages etc. (s.t) 310 pan : leaf (no) 311 pan : finished (no) 312 supari (gm) 313 lime (gm) 314 katha (gm) 315 other ingredients for pan (gm) 319 pan(s.t) 320 bidi (no.) 321 cigarettes (no) 322 leaf tobacco(Kg) 323 snuff (gm) 324 hooka tobacco(Kg) 325 cheroot (no.) 326 zarda, kimam surti (gm) 327 other tobacco products (gm) 329 tobacco (s.t) 330 ganja (gm) 331 toddy (litre) 332 country liquor (litre) 333 beer (litre) 334 foreign liquor or refined liquor (litre) 335 other intoxicants(Kg) 339 intoxicants(s.t) 340 Coke (Kg) 341 firewood &amp; Chips(Kg) 342 electricity (st. unit) 343 dung cake(Kg) 344 kerosene-PDS (ltr) 345 Kerosene - other sources(ltr) 346 matches (box) 347 coal(Kg) 348 LPG (kg) 350 charcoal(Kg) 351 Candle (no.) 352 gobar gas(Kg) 353 petrol (litre) 354 diesel (litre) 355 other fuel 359 fuel &amp; light(s.t)
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Consumption of food, pan, tobacco and intoxicants during the last 30 days: In this information on consumption of each item of cereals, pulses, milk, sugar and salt by the household will be collected for a reference period of 30 days preceding the date of survey.
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Rice-PDS(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Rice-other sources(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Chira(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Khoi, lava(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Muri(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Other rice products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Wheat/atta - P.D.S
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Wheat/atta - other sources
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Maida(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          suji, rawa(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          sewai, noodles(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          bread(bakery)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          other wheat products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          jowar &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bajra &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          maize &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          cornflakes(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          barley &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          small millet &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          ragi &amp; products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          other cereals(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          Cereal(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Cereal Substitute tapioca, jackfruit, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          arhar (tur)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          gram (split grain)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          gram (whole)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          moong(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          masur(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          urd(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          peas(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          soyabean(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          khesari(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          other pulses(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          gram products(kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          besan(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          other pulse products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          Pulses and Pulse Products(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          milk : liquid(litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          baby food(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          milk : cond./powder(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          curd(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          ghee(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          butter(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          ice cream (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          other milk products(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          Milk &amp; Milk Products(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          vanaspati,margarine(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          mustard oil(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          groundnut - oil (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          coconut oil(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          sunflower/soyabean oil(kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          rice bran oil (kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          edible oil others(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          edible oil (s.t)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          eggs (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          fish, prawn(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          goat meat /mutton(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          beef / buffalo meat(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          pork(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          chicken(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          others ( birds, crab, oyster, tortoise etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          Meat,Egg,Fish(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          potato(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          onion(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          radish(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          carrot(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          turnip(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          beet(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          sweet potato(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          arum(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          pumpkin(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          gourd(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          bitter gourd(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          cucumber(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          parwal/patal(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          jhinga/torai(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          snake gourd(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          papaya ( green)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          cauliflower(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          cabbage(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          brinjal(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          lady's finger(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          palak/other leafy vegetable(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          french beans &amp; barbati(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          tomato(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          peas(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          chilli(green)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          capsicum(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          plantain(green)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          jackfruit(green)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          lemon(no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other vegetables(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          vegetables(s.t) (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          banana (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          jackfruit(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          water melon(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          pineapple (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          coconut (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          coconut green (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          guava(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          singara(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          orange , mausambi etc (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Papaya (Kg.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          mango(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          kharbooza(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          pears (naspati)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          berries(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          leechi(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          apple(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          grapes(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          other fresh fruits(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          fresh fruits(s.t)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          coconut (copra)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          groundnut(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          dates(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          cashew nut(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          walnut(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          other nuts(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          raisin, (kishmish, monacca etc)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          other dry fruits (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          dry fruits(s.t) (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          sugar - PDS(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          sugar - other sources(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          gur (cane)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          candy (misri)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          honey(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          sugar (s.t)(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          salt(s.t) (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          turmeric (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          black pepper (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          dry chillies / pepper (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          garlic (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          tamarind (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          ginger (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          curry powder (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          oilseeds (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          other spices (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          spices(s.t) (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          tea :cups (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          tea : leaf (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          coffee : cups (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          coffee : powder (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          mineral water(litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          cold beverage : bottled or canned (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          fruit juice and shake (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          other beverages( cocoa, chocolate,bournvit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          chocolate,ozenge,etc, sugar sudstitutes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          biscuit Confectionary (cash purchase in Rs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          prepared sweets(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          cooked meal as assistance or payment(no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          cooked meals purchased (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          salted refreshment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          pickles (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          sauce (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          jam/jelly (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          other processed food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          beverages etc. (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          pan : leaf (no)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pan : finished (no)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          supari (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          lime (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          katha (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          other ingredients for pan (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          pan(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          bidi (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cigarettes (no)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          leaf tobacco(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          snuff (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          hooka tobacco(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          zarda, kimam surti (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          other tobacco products (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          tobacco (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          ganja (gm)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          toddy (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          country liquor (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          beer (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          foreign liquor or refined liquor (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          other intoxicants(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          intoxicants(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Coke (Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          firewood &amp; Chips(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          electricity (st. unit)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          dung cake(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          kerosene-PDS (ltr)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Kerosene - other sources(ltr)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          matches (box)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          coal(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          LPG (kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          charcoal(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Candle (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          gobar gas(Kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          petrol (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          diesel (litre)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          other fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          fuel &amp; light(s.t)
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V139" name="Quantity" files="F4" dcml="3" intrvl="contin">
      <location StartPos="94" EndPos="103" width="10" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <qstn>
        <ivuInstr>
          Quantity: Against most of the items , there is provision to record the quantity figure in the appropriate unit. quantity figure has two parts - an integer part and a fractional or decimal part. The integer part will be recorded in the left-hand cell and the fractional part will be entered in the right-hand cell in three places of decimals, in case the units are reported either in 'kg' or 'metre' or 'litre'. If the specified unit of quantity is 'gram'/ 'number'/ 'box'/ 'pair'/ 'standard unit' etc., three zeros (000) have already been printed in the decimal part (right-hand cell) of the space for quantity. This means that quantity, for these items, is to be recorded in whole number, in the left-hand cell. For a number of items, the quantity cells in the schedule are shaded; this means that no quantities are to be recorded.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0.004" max="715585.714"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Quantity of item (kg,pair,box,etc.) consumed
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="Value_in_Rs" files="F4" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="64" width="5" RecSegNo="1"/>
      <labl>
        Value of item in Rs
      </labl>
      <qstn>
        <ivuInstr>
          Value(Rs): As in the previous round, all value figures are to be recorded in whole number of rupees, after rounding off paise figures, if any.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="65196"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Value(Rs) of item consumed
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="Item_Source" files="F4" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Source of item
      </labl>
      <qstn>
        <ivuInstr>
          The codes to be used are: only purchase ....................................... 1 only exchange of goods and services... 5 only home-grown stock......................... 2 only gifts/ charities…………………... 6 both purchase and home-grown stock .. 3 others ......................…………………. 9 only free collection .……………….…. 4
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Consumption of an item during the last 30 days may be made out of one or more of several possible sources: namely, purchase, home produce, exchange of goods and services, gifts or charities, and free collection. The source from which the item has been obtained and consumed by the household will be recorded in code.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          only purchase
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          only home-grown stock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          both purchase and home-grown stock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          only free collection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          only exchange of goods and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          only gifts / charities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          X
        </catValu>
        <labl>
          NA/NR
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="OK_stamp" files="F4" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        OK stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="Blank" files="F4" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="nss" files="F4" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="nsc" files="F4" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="mlt" files="F4" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="77" width="8" RecSegNo="1"/>
      <labl>
        posted multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="Multiplier" files="F4" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="93" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="HH_ID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="9" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="centre_code" files="F5" intrvl="discrete">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="FSUno" files="F5" intrvl="discrete">
      <location StartPos="13" EndPos="17" width="5" RecSegNo="1"/>
      <labl>
        First Stage Unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="Round" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="19" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="Schedule_Number" files="F5" intrvl="discrete">
      <location StartPos="20" EndPos="22" width="3" RecSegNo="1"/>
      <labl>
        SCHEDULE 1.0
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given for the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1-Rural and 2-Urban
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V155" name="State" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code State Name ---------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="State_Region" files="F5" intrvl="discrete">
      <location StartPos="27" EndPos="29" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name ------------------------------ 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is a sub-division of state
      </txt>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="District" files="F5" intrvl="discrete">
      <location StartPos="32" EndPos="36" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name ----------------------------- 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V158" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V159" name="Sub_Stratum" files="F5" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        Sub Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V160" name="Sub_Round" files="F5" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <ivuInstr>
          The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V161" name="Sub_Sample" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide an independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="FOD_Sub_Region" files="F5" intrvl="discrete">
      <location StartPos="43" EndPos="46" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="hg_sb_No" files="F5" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Hemlat/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V164" name="Second_Stage_Stratum" files="F5" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V165" name="HHS_No" files="F5" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V166" name="Level" files="F5" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="Filler" files="F5" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V168" name="Item_Code" files="F5" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <qstn>
        <ivuInstr>
          code Item Name ----------------------- 360 dhoti (no.) 361 sari (no.) 362 cloth for shirt, pyjama, salwar etc (m), A 363 cloth for coat, trousers, overcoat etc (m) 364 chaddar, dupatta, wrapper shawl etc (m), A 365 lungi (no) 366 gamcha, towel, handkerchief etc (no.) 367 hosiery articles, stockings, undergarments(no.) 368 readymade garments (no.) 370 headwear (no) 371 knitted garments , pullover , muffler etc 372 Knitting wool (gm), Cotton yarn (gm.) 373 clothing others (no.) 374 second-hand clothing 379 clothing (st.) 380 Bed sheet, bed cover (no.) 381 Rug, blanket (no.) 382 Pillow, quilt, mattress (no.) 383 Cloth for upholstery, curtain, table-cloth 384 Mosquito net (no.) 385 Mats and Matting (no.) 386 Cotton (gm.) 387 Bedding : others 389 Bedding etc. (st.) 390 leather boots, shoes (pair) 391 leather sandals, chappal, etc. (pair) 392 other leather footwear (pair) 393 rubber/PVC footwear (pair) 394 other footwear (pair) 395 footwear :second-hamd 399 footwear (s.t)
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Items consumed belongs to clothing, bedding,footwear, etc.
      </txt>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          dhoti (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          sari (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar etc (m), A
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat etc (m)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          chaddar, dupatta, wrapper shawl etc (m), A
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          lungi (no)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          gamcha, towel, handkerchief etc (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          hosiery articles, stockings, undergarments(no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          readymade garments (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          headwear (no)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          knitted garments , pullover , muffler etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Knitting wool (gm), Cotton yarn (gm.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          clothing others (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          second-hand clothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          clothing (st.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Bed sheet, bed cover (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Rug, blanket (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Pillow, quilt, mattress (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Cloth for upholstery, curtain, table-cloth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Mosquito net (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          Mats and Matting (no.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          Cotton (gm.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          Bedding : others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          Bedding etc. (st.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          leather boots, shoes (pair)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          leather sandals, chappal, etc. (pair)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          other leather footwear (pair)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          rubber/PVC footwear (pair)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          other footwear (pair)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          footwear :second-hamd
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          footwear (s.t)
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V169" name="Quantity" files="F5" dcml="3" intrvl="contin">
      <location StartPos="66" EndPos="74" width="9" RecSegNo="1"/>
      <labl>
        Quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="40000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Quantity of item consumed in number,pair,etc.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="Value_in_Rs" files="F5" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="79" width="5" RecSegNo="1"/>
      <labl>
        Value of item in Rs
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="94160"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Value (Rs) of items consumed.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V171" name="OK_stamp" files="F5" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Ok Stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V172" name="Blank" files="F5" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="nss" files="F5" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V174" name="nsc" files="F5" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="mlt" files="F5" dcml="0" intrvl="contin">
      <location StartPos="84" EndPos="91" width="8" RecSegNo="1"/>
      <labl>
        Posted Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V176" name="Multiplier" files="F5" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="100" width="9" RecSegNo="1"/>
      <labl>
        Generated Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Calculated multiplier Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC = MLT/200 otherwise.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V177" name="HH_ID" files="F6" intrvl="discrete">
      <location StartPos="67" EndPos="75" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V178" name="centre_code" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="FSUno" files="F6" intrvl="discrete">
      <location StartPos="4" EndPos="8" width="5" RecSegNo="1"/>
      <labl>
        First Stage Unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V180" name="Round" files="F6" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V181" name="Schedule_Number" files="F6" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Schedule Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given for the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V182" name="Sample" files="F6" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V183" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <ivuInstr>
          1 Rural 2 Urban
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1 Rural 2 Urban
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V184" name="State" files="F6" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code Sate Name ------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V185" name="State_Region" files="F6" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V186" name="District" files="F6" intrvl="discrete">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          Code District Name 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V187" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V188" name="Sub_Stratum" files="F6" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V189" name="Sub_Round" files="F6" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <ivuInstr>
          The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V190" name="Sub_Sample" files="F6" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide an independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V191" name="FOD_Sub_Region" files="F6" intrvl="discrete">
      <location StartPos="27" EndPos="30" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V192" name="hg_sb_No" files="F6" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Hemlat/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V193" name="Second_Stage_Stratum" files="F6" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Second Stage Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V194" name="HHS_No" files="F6" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V195" name="Level" files="F6" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V196" name="Filler" files="F6" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V197" name="Item_Code" files="F6" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <qstn>
        <ivuInstr>
          Expenditure on education and medical (institutional) goods and services during the last 365 days code Item Name ------------------------- 400 books, journals 401 newspapers, periodical 402 library charges 403 stationery articles 404 tution and other fees 405 private tutor / coaching centre 406 other educational expenses 409 Education(s.t) 410 medical insurance premium 411 medicine 412 X-ray, ECC, pathological test etc. 413 doctor's / surgeon's fee 414 hospital &amp; nursing home charges 415 other medical expenses 419 Medical Expenses: Institutional(s.t) 420 allopathic medicine 421 homoeopathic medicine 422 ayurvedic medicine 423 unani medicine 424 medicine -others 425 x-ray, ECC, pathological test etc. 426 doctor's fee/surgeon's fee 427 family planning appliances 428 other medical expenses 429 Medical : Non-institutional(s.t) 430 cinema, theatre 431 mela, fair, picnic 432 sports, goods, toys etc. 433 club fees 434 goods for recreation and hobbies 435 photography 436 video cassete / VCR / VCP(hire) 437 cable TV 438 other entertainment 439 Entertainment (s.t) 440 Spectacles 441 torch 442 lock 443 umbrella, rain-coat 444 lighter(bidi/cigarettes/gas stove) 445 other minor durable type goods 449 minor durable type goods(s.t) 450 toilet soap 451 toothbrush, tooth paste/tooth powder 452 powder, snow, cream, lotion 453 hair oil, lotion, shampoo, hair cream 454 shaving blades, shaving stick, razor 455 shaving-cream 456 sanitary napkin 457 other toilet articles 459 Toilet articles : s.t. 460 electric bulb, tube light 461 electric batteries 462 other non-durable electric goods 463 earthenware 464 glassware 465 bucket, water bottle/feeding bottle &amp; othe 466 coir, rope etc. 467 washing soap/soda 468 other washing requisites 470 incense agarbati,room freshener 471 flower(fresh): all purpose 472 insecticide and related products 473 other petty articles 479 other household consumables (s.t) Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days code Item Name ------------------------- 480 insurance premium (car,accident,etc) 481 domestic servant/cook 482 attendent 483 sweeper 484 barber, beautifian, etc. 485 washerman, launderer, ironing 486 tailor 487 grinding charges 488 telephone charges: landline 490 telephone charges:mobile 491 postage, telephone, telegram 492 miscellaneous expenses 493 priest 494 legal expenses 495 repair charges for non-durables 496 pet animals 497 other Consumer Services excluding conveyance 499 Consumer Services excluding conveyance 500 airways fare 501 railway fare 502 bus/tram fare 503 taxi, auto-rickshaw fare 504 steamer, boat fare 505 rickshaw(hand drawn &amp; cycle) fare 506 horse, cart fare 507 porter charges 508 petrol for vehicle 510 diesel for vehivle 511 lubricating &amp; other fuels for vehivle 512 school bus/van fare 513 other conveyance expenses 519 conveyance (s.t) 520 house rent, garage rent (actual) 521 hotel lodging charges 522 residential land rent 523 other consumer rent 529 rent(s.t) 539 house rent, garage rent(imputed -urban only) 540 water charges 541 other consumer taxes and cesses etc.(s.t) 549 Consumer Taxes and Cesses(s.t)
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It contain items belogs to the catagory : 1. Expenditure on education and medical (institutional) goods and services during the last 365 days :Information collected on educational and institutional medical expenses incurred during the last 365 days preceding the date of survey. The institutional category includes payments made for goods and services availed of as an inpatient in both private as well as Government medical institutions like nursing homes, hospitals, etc. 2. Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days: Information e collected on the expenditure for purchase of miscellaneous goods and services during the last 30 days prior to the date of survey. If some goods are purchased for gift or transfer, it is to be accounted against the payer household and not against the recipient household.
      </txt>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          books, journals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          newspapers, periodical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          library charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          stationery articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          tution and other fees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          private tutor / coaching centre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          other educational expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          Education(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          medical insurance premium
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          X-ray, ECC, pathological test etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          doctor's / surgeon's fee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          hospital &amp; nursing home charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          other medical expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Medical Expenses: Institutional(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          allopathic medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          homoeopathic medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          ayurvedic medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          unani medicine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          medicine -others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          x-ray, ECC, pathological test etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          doctor's fee/surgeon's fee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          family planning appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          other medical expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Medical : Non-institutional(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          cinema, theatre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          mela, fair, picnic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          sports, goods, toys etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          club fees
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          goods for recreation and hobbies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          photography
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          video cassete / VCR / VCP(hire)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          cable TV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other entertainment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Entertainment (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Spectacles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          torch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          lock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          umbrella, rain-coat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          lighter(bidi/cigarettes/gas stove)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          other minor durable type goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          minor durable type goods(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          toilet soap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          toothbrush, tooth paste/tooth powder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          powder, snow, cream, lotion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          shaving blades, shaving stick, razor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          shaving-cream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          sanitary napkin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          other toilet articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          Toilet articles : s.t.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          electric bulb, tube light
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric batteries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          other non-durable electric goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          earthenware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          glassware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          bucket, water bottle/feeding bottle &amp; othe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          coir, rope etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing soap/soda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          other washing requisites
        </labl>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          incense agarbati,room freshener
        </labl>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          flower(fresh): all purpose
        </labl>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          insecticide and related products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          other petty articles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          other household consumables (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          insurance premium (car,accident,etc)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          domestic servant/cook
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          attendent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          sweeper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          barber, beautifian, etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          washerman, launderer, ironing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          tailor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          grinding charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          telephone charges: landline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          telephone charges:mobile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          postage, telephone, telegram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          miscellaneous expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          priest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          legal expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          repair charges for non-durables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          pet animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          other Consumer Services excluding conveyance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Consumer Services excluding conveyance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          airways fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          railway fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          bus/tram fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          taxi, auto-rickshaw fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          rickshaw(hand drawn &amp; cycle) fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          horse, cart fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          porter charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          petrol for vehicle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          diesel for vehivle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          lubricating &amp; other fuels for vehivle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          school bus/van fare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          other conveyance expenses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          conveyance (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          house rent, garage rent (actual)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          hotel lodging charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          residential land rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          other consumer rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          rent(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          house rent, garage rent(imputed -urban only)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          water charges
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          other consumer taxes and cesses etc.(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          Consumer Taxes and Cesses(s.t)
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V198" name="Value" files="F6" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="47" width="6" RecSegNo="1"/>
      <labl>
        Value 365day_30days
      </labl>
      <qstn>
        <ivuInstr>
          value (Rs.): The amount of expenditure incurred on an item during the reference period of 365 days / 30 days preceding the date of enquiry . expenditure will include both cash and kind.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="850000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It is the value of items consumed during the reference period 365 days / 30days
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V199" name="OK_stamp" files="F6" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        ok stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="Blank" files="F6" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="nss" files="F6" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        nss
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V202" name="nsc" files="F6" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V203" name="mlt" files="F6" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="59" width="8" RecSegNo="1"/>
      <labl>
        Multiplier posted
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="Multiplier" files="F6" dcml="2" intrvl="contin">
      <location StartPos="76" EndPos="84" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Calculated multiplier Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V205" name="HH_ID" files="F7" intrvl="discrete">
      <location StartPos="87" EndPos="95" width="9" RecSegNo="1"/>
      <labl>
        Household Identification
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Uniquie identification of each surveyed household is provided by combination of : FSU Serial Number = (5) Hamlet-Group /Sub-Block Number = (1) Second Stage Stratum Number = (1) Household Serial Number = (2)
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V206" name="centre_code" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Centre Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="FSUno" files="F7" intrvl="discrete">
      <location StartPos="4" EndPos="8" width="5" RecSegNo="1"/>
      <labl>
        First Stage Unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame vey (UFS) blocks in the urban sector. The FSU number gives the village/block selected for the survey.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="Round" files="F7" intrvl="discrete">
      <location StartPos="9" EndPos="10" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008 called round 64.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="Schedule_Number" files="F7" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Schedule 1.0
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Schedule number is the number given for the questionaire . For Household comsumer expenditure this is alway 1.0
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Sample" files="F7" intrvl="discrete">
      <location StartPos="14" EndPos="14" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V211" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="15" EndPos="15" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        1 Rural 2 Urban
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="State" files="F7" intrvl="discrete">
      <location StartPos="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <ivuInstr>
          Code State Name -------------------------- 01 Jammu &amp; Kashmir 02 Himachal Pradesh 03 Punjab 04 Chandigarh 05 Uttaranchal 06 Haryana 07 Delhi 08 Rajasthan 09 Uttar Pradesh 10 Bihar 11 Sikkim 12 Arunachal Pradesh 13 Nagaland 14 Manipur 15 Mizoram 16 Tripura 17 Meghalaya 18 Assam 19 West Bengal 20 Jharkhand 21 Orissa 22 Chhattishgarh 23 Madhya Pradesh 24 Gujarat 25 Daman &amp; Diu 26 Dadra &amp; Nagar Haveli 27 Maharashtra 28 Andhra Pradesh 29 Karnataka 30 Goa 31 Lakshadweep 32 Kerala 33 Tamil Nadu 34 Pondicherry 35 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate the province (state/Union Territory).
      </txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujarat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V213" name="State_Region" files="F7" intrvl="discrete">
      <location StartPos="16" EndPos="18" width="3" RecSegNo="1"/>
      <labl>
        State Region
      </labl>
      <qstn>
        <ivuInstr>
          Code Region Name ----------------------------- 011 Mountainous 012 Outer Hills 013 Jhelam Valley 014 Ladakh 021 Central 022 Trans Himalayan &amp; Southern 031 Northern 032 Southern 041 Chandigarh 051 Uttaranchal 061 Eastern 062 Western 071 Delhi 081 Western 082 North-Eastern 083 Southern 084 South-Eastern 085 Northern 091 Northern Upper Ganga Plains 092 Central 093 Eastern 094 Southern 095 Southern Upper Ganga Plains 101 Northern 102 Central 111 Sikkim 121 Arunachal Pradesh 131 Nagaland 141 Plains 142 Hills 151 Mizoram 161 Tripura 171 Meghalaya 181 Plains Eastern 182 Plains Western 183 Cachar Plain 184 Central Brahmputra Plains 191 Himalayan 192 Eastern Plains 193 Southern Plains 194 Central Plains 195 Western Plains 201 Rachi Plateau 202 Hazaribagh Plateau 211 Coastal 212 Southern 213 Northern 221 Northern Chattishgarh 222 Mahanadi Basin 223 Southern Chhattishgarh 231 Vindhya 232 Central 233 Malwa 234 South 235 South Western 236 Northern 241 South Eastern 242 Plains Northern 243 Dry areas 244 Kachchh 245 Saurashtra 251 Daman &amp; Diu 261 Dadra &amp; Nagar Haveli 271 Coastal 272 Inland Western 273 Inland Northern 274 Inland Central 275 Inland Eastern 276 Eastern 281 Costal Northern 282 Costal Southern 283 Inland North Western 284 Inland North Eastern 285 Inland Southern 291 Coastal &amp; Ghats 292 Inland Eastern 293 Inland Southern 294 Inland Northern 301 Goa 311 Lakshadweep 321 Northern 322 Southern 331 Coastal Northern 332 Coastal 333 Southern 334 Inland 341 Pondicherry 351 Andaman &amp; Nicobar Islands
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          011
        </catValu>
        <labl>
          Mountainous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          012
        </catValu>
        <labl>
          Outer Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          013
        </catValu>
        <labl>
          Jhelam Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          014
        </catValu>
        <labl>
          Ladakh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          021
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          022
        </catValu>
        <labl>
          Trans Himalayan &amp; Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          031
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          032
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          041
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          051
        </catValu>
        <labl>
          Uttaranchal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          061
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          062
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          071
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          081
        </catValu>
        <labl>
          Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          082
        </catValu>
        <labl>
          North-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          083
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          084
        </catValu>
        <labl>
          South-Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          085
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          091
        </catValu>
        <labl>
          Northern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          092
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          093
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          094
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          095
        </catValu>
        <labl>
          Southern Upper Ganga Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sikkim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Nagaland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Mizoram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Meghalaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Plains Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Plains Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          Cachar Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Central Brahmputra Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Himalayan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Eastern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          Southern Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          Central Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          Western Plains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Rachi Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Hazaribagh Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Northern Chattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Mahanadi Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Southern Chhattishgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vindhya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Malwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          South Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          South Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Plains Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Dry areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Kachchh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Saurashtra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Inland Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Inland Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Costal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Costal Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          Inland North Western
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          Inland North Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Coastal &amp; Ghats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Inland Eastern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Inland Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          Inland Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Coastal Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Coastal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Inland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Andaman &amp; Nicobar Islands
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="District" files="F7" intrvl="discrete">
      <location StartPos="98" EndPos="102" width="5" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <qstn>
        <ivuInstr>
          code District Name --------------------------- 01113 Jammu 01114 Kathus 01209 Doda 01210 Udhampur 01211 Punch 01212 Rajauri 01301 Kupwara 01302 Baramula 01303 Srinagar 01304 Badgam 01305 Pulwama 01306 Anantnag 01407 Leh* (Ladakh) 01408 Kargil* 02102 Kangra 02104 Kullu 02105 Mandi 02106 Hamirpur 02107 Una 02201 Chamba 02203 Lahul &amp; Spiti 02208 Bilaspur 02209 Solan 02210 Sirmapur 02211 Shimla 02212 Kinnaur 03101 Gurdaspur 03102 Amritsar 03103 Kapurthala 03104 Jalandhar 03105 Hoshiarpur 03106 Nawanshahr 03107 Rupnagar 03208 Fatehgarh Sahib 03209 Ludhiana 03210 Moga 03211 Firozpur 03212 Muktsar 03213 Faridkot 03214 Bhatinda 03215 Sahib Mansa 03216 Sangrur 03217 Patiala 04101 Chandigarh 05101 Uttar Kashi 05102 Chamoli 05103 Rudraprayag 05104 Tehri Garhwal 05105 Dehradun 05106 Garhwal 05107 Pithoragarh 05108 Bageswar 05109 Almora 05110 Champawat 05111 Nainital 05112 Udham Sing Nagar 05113 Hardwar 06101 Panchkula 06102 Ambala 06103 Yamuna Nagar 06104 Kurukshetra 06105 Kaithal 06106 Karnal 06107 Panipat 06108 Sonipat 06114 Rohtak 06115 Jhaijar 06118 Gurgaon 06119 Faridabad 06209 Jind 06210 Fatehabad 06211 Sirsa 06212 Hisar 06213 Bhilwani 06216 Mahendragarh 06217 Rewari 07101 North West 07102 North 07103 North East 07104 East 07105 New Delhi 07106 Central 07107 West 07108 South West 07109 South 08103 Bikaner 08115 Jodhpur 08116 Jaisalmer 08117 Barmer 08118 Jalor 08119 Sirohi 08120 Pali 08206 Alwar 08207 Bharatpur 08208 Dhaulpur 08209 Karauli 08210 Sawai Madhopur 08211 Dausa 08212 Jaipur 08221 Ajmer 08222 Tonk 08224 Bhilwara 08325 Rajsamand 08326 Udaipur 08327 Dungarpur 08328 Banswara 08423 Bundi 08429 Chittaurgarh 08430 Kota 08431 Baran 08432 Jhalawar 08501 Ganganagar 08502 Hanumangarh 08504 Churu 08505 Jhunjhunun 08513 Sikar 08514 Nagaur 09101 Saharanpur 09102 Muzaffarnagar 09103 Bijnor 09104 Moradabad 09105 Rampur 09106 J Phule Nagar 09107 Meerut 09108 Baghpat 09109 Ghaziabad 09110 G. Buddha Nagar 09224 Sitapur 09225 Hardoi 09226 Unnao 09227 Lucknow 09228 Rai Bareli 09233 Kanpur Dehat 09234 Kanpur Nagar 09242 Fatepur 09246 Barabanki 09343 Pratapgarh 09344 Kaushambi 09345 Allahabad 09347 Faizabad 09348 Ambedkar Nag. 09349 Sultanpur 09350 Bahraich 09351 Shrawasti 09352 Balrampur 09353 Gonda 09354 Sidhartha Nagar 09355 Basti 09356 S. Kabir Nagar 09357 Maharajganj 09358 Gorakhpur 09359 Kushinagar 09360 Deoria 09361 Azamgarh 09362 Mau 09363 Ballia 09364 Jaunpur 09365 Ghazipur 09366 Chandauli 09367 Varanashi 09368 S R Nagar (Bhadohi) 09369 Mirzapur 09370 Sonbhadra 09435 Jalaun 09436 Jhansi 09437 Lalitpur 09438 Hamirpur 09439 Mahoba 09440 Banda 09441 Chitrakoot 09511 Bulandshahr 09512 Aligarh 09513 Hathras 09514 Mathura 09515 Agra 09516 Firozabad 09517 Etah 09518 Mainpuri 09519 Budaun 09520 Bareilly 09521 Pilibhit 09522 Shahjahanpur 09523 Kheri 09529 Farrukhabad 09530 Kannauj 09531 Etawah 09532 Auraiya 10101 Champaran (W) 10102 Champaran (E) 10103 Sheohar 10104 Sitamari 10105 Madhubani 10106 Supaul 10107 Araria 10108 Kishanganj 10109 Purnea 10110 Katihar 10111 Madhepura 10112 Saharsa 10113 Darbhanga 10114 Muzaffarpur 10115 Gopalganj 10116 Siwan 10117 Saran 10118 Vaishali 10119 Samastipur 10120 Begusarai 10121 Khagaria 10125 Lakhisarai 10126 Sheikhpura 10222 Bhagalpur 10223 Banka 10224 Munger 10225 Lakhisarai 10226 Sheikhpura 10227 Nalanda 10228 Patna 10229 Bhojpur 10230 Buxar 10231 Kaimur(Bhabua) 10232 Rohtas 10233 Jehanabad 10234 Aurangabad 10235 Gaya 10236 Nawada 10237 Jamui 11101 North (Mongam) 11102 West (Gyalshing) 11103 South (Nimachai) 11104 East (Gangtok) 12101 Tawang 12102 West Kameng 12103 East Kameng 12104 Papum Pare 12105 Lower Subansiri 12106 Upper Subansiri 12107 West Siang 12108 East Siang 12109 Upper Siang 12110 Dibang Valley 12111 Lohit 12112 Changlang 12113 Tirap 13101 Mon 13102 Tuensang 13103 Mukokchung 13104 Zunheboto 13105 Wokha 13106 Dimapur 13107 Kohima 13108 Phek 14104 Bishnupur 14105 Thoubal 14106 Imphal West 14107 Imphal East 14201 Senapati 14202 Tamenglong 14203 Churachandpur 14208 Ukhrul 14209 Chandel 15101 Mamit 15102 Kolasib 15103 Aizwal 15104 Champhai 15105 Serchip 15106 Lunglei 15107 Lawngtlai 15108 Saiha 16101 West Tripura 16102 South Tripura 16103 Dhalai 16104 North Tripura 17101 West Garo Hills 17102 East Garo Hills 17103 South Garo Hills 17104 West Khasi Hills 17105 Ri - bhoi 17106 East Khasi Hills 17107 Jaintia Hills 18112 Lakhimpur 18113 Dhemaji 18114 Tinsukia 18115 Dibrugarh 18116 Sibsagar 18117 Jorhat 18118 Golaghat 18201 Kokrajhar 18202 Dhubri 18203 Goalpara 18204 Bongaigaon 18205 Barpeta 18206 Kamrup 18207 Nalbari 18319 Karbi Anglong 18320 North Cachar Hills 18321 Cachar 18322 Karimgang 18323 Hailakandi 18408 Darrang 18409 Marigaon 18410 Nagaon 18411 Sonitpur 19101 Darjiling 19102 Jalpaiguri 19103 Kochbihar 19204 Uttar Dinajpur 19205 West Dinajpur 19206 Maldah 19207 Murshidabad 19208 Birbhum 19210 Nadia 19311 24-Parganas ( North ) 19317 Kolkata 19318 24-Parganas ( South ) 19409 Barddhaman 19412 Hugli 19416 Howrah 19513 Bankura 19514 Puruliya 19515 Medinipur 20101 Garhwa 20102 Palamu 20114 Ranchi 20115 Lohardanga 20116 Gumla 20117 Singhbhum(W) 20118 Singhbhum(E) 20203 Chatra 20204 Hazaribagh 20205 Kodarma 20206 Giridih 20207 Deoghar 20208 Godda 20209 Sahibganj 20210 Pakuar 20211 Dumka 20212 Dhanbad 20213 Bokaro 21108 Baleshwar 21109 Bhadrak 21110 Kendrapara 21111 Jagatsinghapur 21112 Cuttack 21113 Jajapur 21116 Nayagarh 21117 Khordha 21118 Puri 21219 Ganjam 21220 Gajapati 21221 Kandhamal (Phulbani) 21222 Baudh 21223 Sonapur 21224 Bolangir 21225 Nuapada 21226 Kalahandi 21227 Rayagada 21228 Nabarangapur 21229 Koraput 21230 Malkangiri 21301 Bargarh 21302 Jharsuguda 21303 Sambalpur 21304 Debagarh 21305 Sundargarh 21306 Keonjhar 21307 Mayurbhanj 21314 Dhenkanal 21315 Anugul 22101 Koriya 22102 Surguja 22203 Jashpur 22204 Raigarh 22205 Korba 22206 Janigir-Champa 22207 Bilaspur 22208 Kawardha 22209 Raj Nandgaon 22210 Durg 22211 Raipur 22212 Mahasamund 22213 Dhamtari 22314 Kanker 22315 Bastar 22316 Dantewada 23108 Tikamgarh 23109 Chhatarpur 23110 Panna 23113 Satna 23114 Rewa 23115 Umaria 23116 Shadol 23117 Sidhi 23211 Sagar 23212 Damoh 23231 Vidisha 23232 Bhopal 23233 Sehore 23234 Raisen 23318 Neemuch 23319 Mandsaur 23320 Ratlam 23321 Ujjain 23322 Shajapur 23323 Dewas 23324 Jhabua 23325 Dhar 23326 Indore 23330 Rajgarh 23438 Katni 23439 Jabalpur 23440 Narsimhapur 23441 Dindori 23442 Mandla 23443 Chhindwara 23444 Seoni 23445 Balaghat 23527 W. Nimar ( Khargoan ) 23528 Barwani 23529 E. Nimar ( Khandwa ) 23535 Betul 23536 Harda 23537 Hoshangabad 23601 Sheopur 23602 Morena 23603 Bhind 23604 Gwalior 23605 Datia 23606 Shivpuri 23607 Guna 24117 Panch Mahals 24118 Dohad 24119 Vadodara 24120 Narmada 24121 Bharuch 24122 Surat 24123 The Dangs 24124 Navsari 24125 Valsad 24204 Mahesana 24205 Sabar Kantha 24206 Gandhinagar 24207 Ahmedabad 24215 Anand 24216 Kheda 24302 Bans Kantha 24303 Patan 24401 Kachch 24508 Surendranagar 24509 Rajkot 24510 Jamnagar 24511 Porbandar 24512 Junagadh 24513 Amreli 24514 Bhavnagar 25101 Diu 25102 Daman 26101 Dadra &amp; Nagar Haveli 27121 Thane 27122 Mumbai Suburban 27123 Mumbai 27124 Raigarh 27132 Ratnagiri 27133 Sindhudurg 27225 Pune 27226 Ahmadnagar 27230 Solapur 27231 Satara 27234 Kolhapur 27235 Sangli 27301 Nandurbar 27302 Dhule 27303 Jalgaon 27320 Nashik 27415 Nanded 27416 Hingoli 27417 Parbhani 27418 Jalna 27419 Aurangabad 27427 Bid 27428 Latur 27429 Osmanabad 27504 Buldana 27505 Akola 27506 Washim 27507 Amravati 27508 Wardha 27509 Nagpur 27514 Yavatmal 27610 Bhandara 27611 Gondiya 27612 Gadchiroli 27613 Chandrapur 28111 Srikakulam 28112 Vizianagaram 28113 Visakhapatnam 28114 East Godavari 28115 West Godawari 28216 Krishna 28217 Guntur 28218 Prakasam 28219 Nellore 28301 Adilabad 28302 Nizamabad 28304 Medak 28305 Hyderabad 28306 Rangareddy 28307 Mahbubnagar 28403 Karimnagar 28408 Nalgonda 28409 Warangal 28410 Khammam 28520 Cuddapah 28521 Kurnool 28522 Anantpur 28523 Chittoor 29110 Uttar Kannad 29116 Udupi 29124 Dakshin Kannad 29215 Shimoga 29217 Chikmagalur 29223 Hassan 29225 Kodagu 29318 Tumkur 29319 Kolar 29320 Bangalore 29321 Bangalore ( Rural ) 29322 Mandya 29326 Mysore 29327 Chamarajanagar 29401 Belgaum 29402 Bagalkot 29403 Bijapur 29404 Gulbarga 29405 Bidar 29406 Raichur 29407 Koppal 29408 Gadag 29409 Dharwad 29411 Haveri 29412 Bellary 29413 Chitradurga 29414 Davanagere 30101 North Goa 30102 South Goa 31101 Lakshadweep 32101 Kasaragod 32102 Kannur 32103 Wayanad 32104 Kozhikode 32105 Malapuram 32106 Palakkad 32207 Trissur 32208 Ernakulam 32209 Idukki 32210 Kottayam 32211 Alappuzha 32212 Pathanamthitta 32213 Kollam 32214 Triruvananthapuram 33101 Thiruvallur 33102 Chennai 33103 Kancheepuram 33104 Vellore 33106 Tiruvanmalai 33107 Viluppuram 33118 Cuddalore 33214 Karur 33215 Tiruchirapalli 33216 Perambalur 33217 Arivalur 33219 Nagapattinam 33220 Thiruvarur 33221 Thanjavur 33222 Pudukkottai 33229 Tirunelveli 33230 Kanniyakumari 33313 Dindigul 33323 Siyaganga 33324 Madurai 33325 Theni 33326 Virudhunagar 33327 Ramnathapuram 33328 Toothukudi 33329 Tirunelveli 33330 Kannyia kumari 33405 Dharmapuri 33408 Salem 33409 Namakkal 33410 Erode 33411 The Nilgiris 33412 Coimbatore 34101 Yanam 34102 Pondicherry 34103 Mahe 34104 Karaikal 35101 South Andaman 35102 Nicobars 35103 North and Middle Andaman
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01113
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01114
        </catValu>
        <labl>
          Kathus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01209
        </catValu>
        <labl>
          Doda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01210
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01211
        </catValu>
        <labl>
          Punch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01212
        </catValu>
        <labl>
          Rajauri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01301
        </catValu>
        <labl>
          Kupwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01302
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01303
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01304
        </catValu>
        <labl>
          Badgam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01305
        </catValu>
        <labl>
          Pulwama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01306
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01407
        </catValu>
        <labl>
          Leh* (Ladakh)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01408
        </catValu>
        <labl>
          Kargil*
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02102
        </catValu>
        <labl>
          Kangra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02104
        </catValu>
        <labl>
          Kullu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02105
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02106
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02107
        </catValu>
        <labl>
          Una
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02201
        </catValu>
        <labl>
          Chamba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02203
        </catValu>
        <labl>
          Lahul &amp; Spiti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02208
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02209
        </catValu>
        <labl>
          Solan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02210
        </catValu>
        <labl>
          Sirmapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02211
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02212
        </catValu>
        <labl>
          Kinnaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03101
        </catValu>
        <labl>
          Gurdaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03102
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03103
        </catValu>
        <labl>
          Kapurthala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03104
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03105
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03106
        </catValu>
        <labl>
          Nawanshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03107
        </catValu>
        <labl>
          Rupnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03208
        </catValu>
        <labl>
          Fatehgarh Sahib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03209
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03210
        </catValu>
        <labl>
          Moga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03211
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03212
        </catValu>
        <labl>
          Muktsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03213
        </catValu>
        <labl>
          Faridkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03214
        </catValu>
        <labl>
          Bhatinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03215
        </catValu>
        <labl>
          Sahib Mansa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03216
        </catValu>
        <labl>
          Sangrur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03217
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04101
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05101
        </catValu>
        <labl>
          Uttar Kashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05102
        </catValu>
        <labl>
          Chamoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05103
        </catValu>
        <labl>
          Rudraprayag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05104
        </catValu>
        <labl>
          Tehri Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05105
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05106
        </catValu>
        <labl>
          Garhwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05107
        </catValu>
        <labl>
          Pithoragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05108
        </catValu>
        <labl>
          Bageswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05109
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05110
        </catValu>
        <labl>
          Champawat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05111
        </catValu>
        <labl>
          Nainital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05112
        </catValu>
        <labl>
          Udham Sing Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05113
        </catValu>
        <labl>
          Hardwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06101
        </catValu>
        <labl>
          Panchkula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06102
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06103
        </catValu>
        <labl>
          Yamuna Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06104
        </catValu>
        <labl>
          Kurukshetra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06105
        </catValu>
        <labl>
          Kaithal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06106
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06107
        </catValu>
        <labl>
          Panipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06108
        </catValu>
        <labl>
          Sonipat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06114
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06115
        </catValu>
        <labl>
          Jhaijar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06118
        </catValu>
        <labl>
          Gurgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06119
        </catValu>
        <labl>
          Faridabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06209
        </catValu>
        <labl>
          Jind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06210
        </catValu>
        <labl>
          Fatehabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06211
        </catValu>
        <labl>
          Sirsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06212
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06213
        </catValu>
        <labl>
          Bhilwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06216
        </catValu>
        <labl>
          Mahendragarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06217
        </catValu>
        <labl>
          Rewari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07101
        </catValu>
        <labl>
          North West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07102
        </catValu>
        <labl>
          North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07103
        </catValu>
        <labl>
          North East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07104
        </catValu>
        <labl>
          East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07105
        </catValu>
        <labl>
          New Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07106
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07107
        </catValu>
        <labl>
          West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07108
        </catValu>
        <labl>
          South West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07109
        </catValu>
        <labl>
          South
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08103
        </catValu>
        <labl>
          Bikaner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08115
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08116
        </catValu>
        <labl>
          Jaisalmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08117
        </catValu>
        <labl>
          Barmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08118
        </catValu>
        <labl>
          Jalor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08119
        </catValu>
        <labl>
          Sirohi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08120
        </catValu>
        <labl>
          Pali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08206
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08207
        </catValu>
        <labl>
          Bharatpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08208
        </catValu>
        <labl>
          Dhaulpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08209
        </catValu>
        <labl>
          Karauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08210
        </catValu>
        <labl>
          Sawai Madhopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08211
        </catValu>
        <labl>
          Dausa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08212
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08221
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08222
        </catValu>
        <labl>
          Tonk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08224
        </catValu>
        <labl>
          Bhilwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08325
        </catValu>
        <labl>
          Rajsamand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08326
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08327
        </catValu>
        <labl>
          Dungarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08328
        </catValu>
        <labl>
          Banswara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08423
        </catValu>
        <labl>
          Bundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08429
        </catValu>
        <labl>
          Chittaurgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08430
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08431
        </catValu>
        <labl>
          Baran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08432
        </catValu>
        <labl>
          Jhalawar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08501
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08502
        </catValu>
        <labl>
          Hanumangarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08504
        </catValu>
        <labl>
          Churu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08505
        </catValu>
        <labl>
          Jhunjhunun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08513
        </catValu>
        <labl>
          Sikar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08514
        </catValu>
        <labl>
          Nagaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09101
        </catValu>
        <labl>
          Saharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09102
        </catValu>
        <labl>
          Muzaffarnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09103
        </catValu>
        <labl>
          Bijnor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09104
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09105
        </catValu>
        <labl>
          Rampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09106
        </catValu>
        <labl>
          J Phule Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09107
        </catValu>
        <labl>
          Meerut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09108
        </catValu>
        <labl>
          Baghpat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09109
        </catValu>
        <labl>
          Ghaziabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09110
        </catValu>
        <labl>
          G. Buddha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09224
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09225
        </catValu>
        <labl>
          Hardoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09226
        </catValu>
        <labl>
          Unnao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09227
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09228
        </catValu>
        <labl>
          Rai Bareli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09233
        </catValu>
        <labl>
          Kanpur Dehat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09234
        </catValu>
        <labl>
          Kanpur Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09242
        </catValu>
        <labl>
          Fatepur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09246
        </catValu>
        <labl>
          Barabanki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09343
        </catValu>
        <labl>
          Pratapgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09344
        </catValu>
        <labl>
          Kaushambi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09345
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09347
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09348
        </catValu>
        <labl>
          Ambedkar Nag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09349
        </catValu>
        <labl>
          Sultanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09350
        </catValu>
        <labl>
          Bahraich
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09351
        </catValu>
        <labl>
          Shrawasti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09352
        </catValu>
        <labl>
          Balrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09353
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09354
        </catValu>
        <labl>
          Sidhartha Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09355
        </catValu>
        <labl>
          Basti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09356
        </catValu>
        <labl>
          S. Kabir Nagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09357
        </catValu>
        <labl>
          Maharajganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09358
        </catValu>
        <labl>
          Gorakhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09359
        </catValu>
        <labl>
          Kushinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09360
        </catValu>
        <labl>
          Deoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09361
        </catValu>
        <labl>
          Azamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09362
        </catValu>
        <labl>
          Mau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09363
        </catValu>
        <labl>
          Ballia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09364
        </catValu>
        <labl>
          Jaunpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09365
        </catValu>
        <labl>
          Ghazipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09366
        </catValu>
        <labl>
          Chandauli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09367
        </catValu>
        <labl>
          Varanashi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09368
        </catValu>
        <labl>
          S R Nagar (Bhadohi)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09369
        </catValu>
        <labl>
          Mirzapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09370
        </catValu>
        <labl>
          Sonbhadra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09435
        </catValu>
        <labl>
          Jalaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09436
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09437
        </catValu>
        <labl>
          Lalitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09438
        </catValu>
        <labl>
          Hamirpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09439
        </catValu>
        <labl>
          Mahoba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09440
        </catValu>
        <labl>
          Banda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09441
        </catValu>
        <labl>
          Chitrakoot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09511
        </catValu>
        <labl>
          Bulandshahr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09512
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09513
        </catValu>
        <labl>
          Hathras
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09514
        </catValu>
        <labl>
          Mathura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09515
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09516
        </catValu>
        <labl>
          Firozabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09517
        </catValu>
        <labl>
          Etah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09518
        </catValu>
        <labl>
          Mainpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09519
        </catValu>
        <labl>
          Budaun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09520
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09521
        </catValu>
        <labl>
          Pilibhit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09522
        </catValu>
        <labl>
          Shahjahanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09523
        </catValu>
        <labl>
          Kheri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09529
        </catValu>
        <labl>
          Farrukhabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09530
        </catValu>
        <labl>
          Kannauj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09531
        </catValu>
        <labl>
          Etawah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09532
        </catValu>
        <labl>
          Auraiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Champaran (W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Champaran (E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Sheohar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Sitamari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Madhubani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Supaul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10107
        </catValu>
        <labl>
          Araria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10108
        </catValu>
        <labl>
          Kishanganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10109
        </catValu>
        <labl>
          Purnea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10110
        </catValu>
        <labl>
          Katihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10111
        </catValu>
        <labl>
          Madhepura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10112
        </catValu>
        <labl>
          Saharsa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10113
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10114
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10115
        </catValu>
        <labl>
          Gopalganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10116
        </catValu>
        <labl>
          Siwan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10117
        </catValu>
        <labl>
          Saran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10118
        </catValu>
        <labl>
          Vaishali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10119
        </catValu>
        <labl>
          Samastipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10120
        </catValu>
        <labl>
          Begusarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10121
        </catValu>
        <labl>
          Khagaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10125
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10126
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10222
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10223
        </catValu>
        <labl>
          Banka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10224
        </catValu>
        <labl>
          Munger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10225
        </catValu>
        <labl>
          Lakhisarai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10226
        </catValu>
        <labl>
          Sheikhpura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10227
        </catValu>
        <labl>
          Nalanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10228
        </catValu>
        <labl>
          Patna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10229
        </catValu>
        <labl>
          Bhojpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10230
        </catValu>
        <labl>
          Buxar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10231
        </catValu>
        <labl>
          Kaimur(Bhabua)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10232
        </catValu>
        <labl>
          Rohtas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10233
        </catValu>
        <labl>
          Jehanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10234
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10235
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10236
        </catValu>
        <labl>
          Nawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10237
        </catValu>
        <labl>
          Jamui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11101
        </catValu>
        <labl>
          North (Mongam)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11102
        </catValu>
        <labl>
          West (Gyalshing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11103
        </catValu>
        <labl>
          South (Nimachai)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11104
        </catValu>
        <labl>
          East (Gangtok)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12101
        </catValu>
        <labl>
          Tawang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12102
        </catValu>
        <labl>
          West Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12103
        </catValu>
        <labl>
          East Kameng
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12104
        </catValu>
        <labl>
          Papum Pare
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12105
        </catValu>
        <labl>
          Lower Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12106
        </catValu>
        <labl>
          Upper Subansiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12107
        </catValu>
        <labl>
          West Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12108
        </catValu>
        <labl>
          East Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12109
        </catValu>
        <labl>
          Upper Siang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12110
        </catValu>
        <labl>
          Dibang Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12111
        </catValu>
        <labl>
          Lohit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12112
        </catValu>
        <labl>
          Changlang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12113
        </catValu>
        <labl>
          Tirap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13101
        </catValu>
        <labl>
          Mon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13102
        </catValu>
        <labl>
          Tuensang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13103
        </catValu>
        <labl>
          Mukokchung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13104
        </catValu>
        <labl>
          Zunheboto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13105
        </catValu>
        <labl>
          Wokha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13106
        </catValu>
        <labl>
          Dimapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13107
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13108
        </catValu>
        <labl>
          Phek
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Bishnupur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Thoubal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Imphal West
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Imphal East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Senapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Tamenglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Churachandpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14208
        </catValu>
        <labl>
          Ukhrul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14209
        </catValu>
        <labl>
          Chandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15101
        </catValu>
        <labl>
          Mamit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15102
        </catValu>
        <labl>
          Kolasib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15103
        </catValu>
        <labl>
          Aizwal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15104
        </catValu>
        <labl>
          Champhai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15105
        </catValu>
        <labl>
          Serchip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15106
        </catValu>
        <labl>
          Lunglei
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15107
        </catValu>
        <labl>
          Lawngtlai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15108
        </catValu>
        <labl>
          Saiha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16101
        </catValu>
        <labl>
          West Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16102
        </catValu>
        <labl>
          South Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16103
        </catValu>
        <labl>
          Dhalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16104
        </catValu>
        <labl>
          North Tripura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17101
        </catValu>
        <labl>
          West Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17102
        </catValu>
        <labl>
          East Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17103
        </catValu>
        <labl>
          South Garo Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17104
        </catValu>
        <labl>
          West Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17105
        </catValu>
        <labl>
          Ri - bhoi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17106
        </catValu>
        <labl>
          East Khasi Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17107
        </catValu>
        <labl>
          Jaintia Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18112
        </catValu>
        <labl>
          Lakhimpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18113
        </catValu>
        <labl>
          Dhemaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18114
        </catValu>
        <labl>
          Tinsukia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18115
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18116
        </catValu>
        <labl>
          Sibsagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18117
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18118
        </catValu>
        <labl>
          Golaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18201
        </catValu>
        <labl>
          Kokrajhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18202
        </catValu>
        <labl>
          Dhubri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18203
        </catValu>
        <labl>
          Goalpara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18204
        </catValu>
        <labl>
          Bongaigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18205
        </catValu>
        <labl>
          Barpeta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18206
        </catValu>
        <labl>
          Kamrup
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18207
        </catValu>
        <labl>
          Nalbari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18319
        </catValu>
        <labl>
          Karbi Anglong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18320
        </catValu>
        <labl>
          North Cachar Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18321
        </catValu>
        <labl>
          Cachar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18322
        </catValu>
        <labl>
          Karimgang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18323
        </catValu>
        <labl>
          Hailakandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18408
        </catValu>
        <labl>
          Darrang
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18409
        </catValu>
        <labl>
          Marigaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18410
        </catValu>
        <labl>
          Nagaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18411
        </catValu>
        <labl>
          Sonitpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19101
        </catValu>
        <labl>
          Darjiling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19102
        </catValu>
        <labl>
          Jalpaiguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19103
        </catValu>
        <labl>
          Kochbihar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19204
        </catValu>
        <labl>
          Uttar Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19205
        </catValu>
        <labl>
          West Dinajpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19206
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19207
        </catValu>
        <labl>
          Murshidabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19208
        </catValu>
        <labl>
          Birbhum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19210
        </catValu>
        <labl>
          Nadia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19311
        </catValu>
        <labl>
          24-Parganas ( North )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19317
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19318
        </catValu>
        <labl>
          24-Parganas ( South )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19409
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19412
        </catValu>
        <labl>
          Hugli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19416
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19513
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19514
        </catValu>
        <labl>
          Puruliya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19515
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20101
        </catValu>
        <labl>
          Garhwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20102
        </catValu>
        <labl>
          Palamu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20114
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20115
        </catValu>
        <labl>
          Lohardanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20116
        </catValu>
        <labl>
          Gumla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20117
        </catValu>
        <labl>
          Singhbhum(W)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20118
        </catValu>
        <labl>
          Singhbhum(E)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20203
        </catValu>
        <labl>
          Chatra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20204
        </catValu>
        <labl>
          Hazaribagh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20205
        </catValu>
        <labl>
          Kodarma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20206
        </catValu>
        <labl>
          Giridih
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20207
        </catValu>
        <labl>
          Deoghar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20208
        </catValu>
        <labl>
          Godda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20209
        </catValu>
        <labl>
          Sahibganj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20210
        </catValu>
        <labl>
          Pakuar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20211
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20212
        </catValu>
        <labl>
          Dhanbad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20213
        </catValu>
        <labl>
          Bokaro
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21108
        </catValu>
        <labl>
          Baleshwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21109
        </catValu>
        <labl>
          Bhadrak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21110
        </catValu>
        <labl>
          Kendrapara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21111
        </catValu>
        <labl>
          Jagatsinghapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21112
        </catValu>
        <labl>
          Cuttack
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21113
        </catValu>
        <labl>
          Jajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21116
        </catValu>
        <labl>
          Nayagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21117
        </catValu>
        <labl>
          Khordha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21118
        </catValu>
        <labl>
          Puri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21219
        </catValu>
        <labl>
          Ganjam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21220
        </catValu>
        <labl>
          Gajapati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21221
        </catValu>
        <labl>
          Kandhamal (Phulbani)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21222
        </catValu>
        <labl>
          Baudh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21223
        </catValu>
        <labl>
          Sonapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21224
        </catValu>
        <labl>
          Bolangir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21225
        </catValu>
        <labl>
          Nuapada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21226
        </catValu>
        <labl>
          Kalahandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21227
        </catValu>
        <labl>
          Rayagada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21228
        </catValu>
        <labl>
          Nabarangapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21229
        </catValu>
        <labl>
          Koraput
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21230
        </catValu>
        <labl>
          Malkangiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21301
        </catValu>
        <labl>
          Bargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21302
        </catValu>
        <labl>
          Jharsuguda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21303
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21304
        </catValu>
        <labl>
          Debagarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21305
        </catValu>
        <labl>
          Sundargarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21306
        </catValu>
        <labl>
          Keonjhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21307
        </catValu>
        <labl>
          Mayurbhanj
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21314
        </catValu>
        <labl>
          Dhenkanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21315
        </catValu>
        <labl>
          Anugul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22101
        </catValu>
        <labl>
          Koriya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22102
        </catValu>
        <labl>
          Surguja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          Jashpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Korba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Janigir-Champa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Kawardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Raj Nandgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22211
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22212
        </catValu>
        <labl>
          Mahasamund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22213
        </catValu>
        <labl>
          Dhamtari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22314
        </catValu>
        <labl>
          Kanker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22315
        </catValu>
        <labl>
          Bastar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22316
        </catValu>
        <labl>
          Dantewada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23108
        </catValu>
        <labl>
          Tikamgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23109
        </catValu>
        <labl>
          Chhatarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Panna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Satna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Umaria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Shadol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Sidhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23211
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23212
        </catValu>
        <labl>
          Damoh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23231
        </catValu>
        <labl>
          Vidisha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23232
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23233
        </catValu>
        <labl>
          Sehore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23234
        </catValu>
        <labl>
          Raisen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23318
        </catValu>
        <labl>
          Neemuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23319
        </catValu>
        <labl>
          Mandsaur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23320
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23321
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23322
        </catValu>
        <labl>
          Shajapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23323
        </catValu>
        <labl>
          Dewas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23324
        </catValu>
        <labl>
          Jhabua
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23325
        </catValu>
        <labl>
          Dhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23326
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23330
        </catValu>
        <labl>
          Rajgarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23438
        </catValu>
        <labl>
          Katni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23439
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23440
        </catValu>
        <labl>
          Narsimhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23441
        </catValu>
        <labl>
          Dindori
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23442
        </catValu>
        <labl>
          Mandla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23443
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23444
        </catValu>
        <labl>
          Seoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23445
        </catValu>
        <labl>
          Balaghat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23527
        </catValu>
        <labl>
          W. Nimar ( Khargoan )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23528
        </catValu>
        <labl>
          Barwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23529
        </catValu>
        <labl>
          E. Nimar ( Khandwa )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23535
        </catValu>
        <labl>
          Betul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23536
        </catValu>
        <labl>
          Harda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23537
        </catValu>
        <labl>
          Hoshangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23601
        </catValu>
        <labl>
          Sheopur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23602
        </catValu>
        <labl>
          Morena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23603
        </catValu>
        <labl>
          Bhind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23604
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23605
        </catValu>
        <labl>
          Datia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23606
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23607
        </catValu>
        <labl>
          Guna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24117
        </catValu>
        <labl>
          Panch Mahals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24118
        </catValu>
        <labl>
          Dohad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24119
        </catValu>
        <labl>
          Vadodara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24120
        </catValu>
        <labl>
          Narmada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24121
        </catValu>
        <labl>
          Bharuch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24122
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24123
        </catValu>
        <labl>
          The Dangs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24124
        </catValu>
        <labl>
          Navsari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24125
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24204
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24205
        </catValu>
        <labl>
          Sabar Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24206
        </catValu>
        <labl>
          Gandhinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24207
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24215
        </catValu>
        <labl>
          Anand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24216
        </catValu>
        <labl>
          Kheda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24302
        </catValu>
        <labl>
          Bans Kantha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24303
        </catValu>
        <labl>
          Patan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24401
        </catValu>
        <labl>
          Kachch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24508
        </catValu>
        <labl>
          Surendranagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24509
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24510
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24511
        </catValu>
        <labl>
          Porbandar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24512
        </catValu>
        <labl>
          Junagadh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24513
        </catValu>
        <labl>
          Amreli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24514
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25101
        </catValu>
        <labl>
          Diu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25102
        </catValu>
        <labl>
          Daman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26101
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27121
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27122
        </catValu>
        <labl>
          Mumbai Suburban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27123
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27124
        </catValu>
        <labl>
          Raigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27132
        </catValu>
        <labl>
          Ratnagiri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27133
        </catValu>
        <labl>
          Sindhudurg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27225
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27226
        </catValu>
        <labl>
          Ahmadnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27230
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27231
        </catValu>
        <labl>
          Satara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27234
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27235
        </catValu>
        <labl>
          Sangli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27301
        </catValu>
        <labl>
          Nandurbar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27302
        </catValu>
        <labl>
          Dhule
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27303
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27320
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27415
        </catValu>
        <labl>
          Nanded
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27416
        </catValu>
        <labl>
          Hingoli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27417
        </catValu>
        <labl>
          Parbhani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27418
        </catValu>
        <labl>
          Jalna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27419
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27427
        </catValu>
        <labl>
          Bid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27428
        </catValu>
        <labl>
          Latur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27429
        </catValu>
        <labl>
          Osmanabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27504
        </catValu>
        <labl>
          Buldana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27505
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27506
        </catValu>
        <labl>
          Washim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27507
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27508
        </catValu>
        <labl>
          Wardha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27509
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27514
        </catValu>
        <labl>
          Yavatmal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27610
        </catValu>
        <labl>
          Bhandara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27611
        </catValu>
        <labl>
          Gondiya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27612
        </catValu>
        <labl>
          Gadchiroli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27613
        </catValu>
        <labl>
          Chandrapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28111
        </catValu>
        <labl>
          Srikakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28112
        </catValu>
        <labl>
          Vizianagaram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28113
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28114
        </catValu>
        <labl>
          East Godavari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28115
        </catValu>
        <labl>
          West Godawari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28216
        </catValu>
        <labl>
          Krishna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28217
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28218
        </catValu>
        <labl>
          Prakasam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28219
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28301
        </catValu>
        <labl>
          Adilabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28302
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28304
        </catValu>
        <labl>
          Medak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28305
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28306
        </catValu>
        <labl>
          Rangareddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28307
        </catValu>
        <labl>
          Mahbubnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28403
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28408
        </catValu>
        <labl>
          Nalgonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28409
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28410
        </catValu>
        <labl>
          Khammam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28520
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28521
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28522
        </catValu>
        <labl>
          Anantpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28523
        </catValu>
        <labl>
          Chittoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29110
        </catValu>
        <labl>
          Uttar Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29116
        </catValu>
        <labl>
          Udupi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29124
        </catValu>
        <labl>
          Dakshin Kannad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29215
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29217
        </catValu>
        <labl>
          Chikmagalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29223
        </catValu>
        <labl>
          Hassan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29225
        </catValu>
        <labl>
          Kodagu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29318
        </catValu>
        <labl>
          Tumkur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29319
        </catValu>
        <labl>
          Kolar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29320
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29321
        </catValu>
        <labl>
          Bangalore ( Rural )
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29322
        </catValu>
        <labl>
          Mandya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29326
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29327
        </catValu>
        <labl>
          Chamarajanagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29401
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29402
        </catValu>
        <labl>
          Bagalkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29403
        </catValu>
        <labl>
          Bijapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29404
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29405
        </catValu>
        <labl>
          Bidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29406
        </catValu>
        <labl>
          Raichur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29407
        </catValu>
        <labl>
          Koppal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29408
        </catValu>
        <labl>
          Gadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29409
        </catValu>
        <labl>
          Dharwad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29411
        </catValu>
        <labl>
          Haveri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29412
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29413
        </catValu>
        <labl>
          Chitradurga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29414
        </catValu>
        <labl>
          Davanagere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          North Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          South Goa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31101
        </catValu>
        <labl>
          Lakshadweep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32101
        </catValu>
        <labl>
          Kasaragod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32102
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32103
        </catValu>
        <labl>
          Wayanad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32104
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32105
        </catValu>
        <labl>
          Malapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32207
        </catValu>
        <labl>
          Trissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32208
        </catValu>
        <labl>
          Ernakulam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32209
        </catValu>
        <labl>
          Idukki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32210
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32211
        </catValu>
        <labl>
          Alappuzha
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32212
        </catValu>
        <labl>
          Pathanamthitta
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32213
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32214
        </catValu>
        <labl>
          Triruvananthapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33101
        </catValu>
        <labl>
          Thiruvallur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33102
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33103
        </catValu>
        <labl>
          Kancheepuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33104
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33106
        </catValu>
        <labl>
          Tiruvanmalai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33107
        </catValu>
        <labl>
          Viluppuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33118
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33214
        </catValu>
        <labl>
          Karur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33215
        </catValu>
        <labl>
          Tiruchirapalli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33216
        </catValu>
        <labl>
          Perambalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33217
        </catValu>
        <labl>
          Arivalur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33219
        </catValu>
        <labl>
          Nagapattinam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33220
        </catValu>
        <labl>
          Thiruvarur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33221
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33222
        </catValu>
        <labl>
          Pudukkottai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33229
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33230
        </catValu>
        <labl>
          Kanniyakumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33313
        </catValu>
        <labl>
          Dindigul
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33323
        </catValu>
        <labl>
          Siyaganga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33324
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33325
        </catValu>
        <labl>
          Theni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33326
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33327
        </catValu>
        <labl>
          Ramnathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33328
        </catValu>
        <labl>
          Toothukudi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33329
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33330
        </catValu>
        <labl>
          Kannyia kumari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33405
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33408
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33409
        </catValu>
        <labl>
          Namakkal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33410
        </catValu>
        <labl>
          Erode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33411
        </catValu>
        <labl>
          The Nilgiris
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33412
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34101
        </catValu>
        <labl>
          Yanam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34102
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34103
        </catValu>
        <labl>
          Mahe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34104
        </catValu>
        <labl>
          Karaikal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35101
        </catValu>
        <labl>
          South Andaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35102
        </catValu>
        <labl>
          Nicobars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35103
        </catValu>
        <labl>
          North and Middle Andaman
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V216" name="Sub_Stratum" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Sub-Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs. For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks. All non-UFS towns taken together within the district will form one sub-stratum.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V217" name="Sub_Round" files="F7" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <qstn>
        <ivuInstr>
          The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The period of survey is of one year duration starting on 1st July 2007 and ending on 30th June 2008. The survey period of this round are divided into four sub-rounds of three months' duration each as follows: sub-round 1 : July - September 2007 sub-round 2 : October - December 2007 sub-round 3 : January - March 2008 sub-round 4 : April - June 2008
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-round 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-round 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          sub-round 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          sub-round 4
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V218" name="Sub_Sample" files="F7" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub-Sample
      </labl>
      <qstn>
        <ivuInstr>
          1 sub-sample 1 2 sub-sample 2
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample is drawn in the form of two independent Sub-sample , which can provide an independent estimate.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          sub-sample 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          sub-sample 2
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V219" name="FOD_Sub_Region" files="F7" intrvl="discrete">
      <location StartPos="27" EndPos="30" width="4" RecSegNo="1"/>
      <labl>
        FOD Sub-Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0110
        </catValu>
        <labl>
          Jammu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0111
        </catValu>
        <labl>
          Udhampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0120
        </catValu>
        <labl>
          Srinagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0121
        </catValu>
        <labl>
          Anantnag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0122
        </catValu>
        <labl>
          Baramula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0210
        </catValu>
        <labl>
          Shimla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0211
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0212
        </catValu>
        <labl>
          Dharamshala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0213
        </catValu>
        <labl>
          Mandi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0310
        </catValu>
        <labl>
          Jalandhar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0311
        </catValu>
        <labl>
          Amritsar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0312
        </catValu>
        <labl>
          Firozpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0313
        </catValu>
        <labl>
          Hoshiarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0320
        </catValu>
        <labl>
          Ludhiana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0321
        </catValu>
        <labl>
          Bathinda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0322
        </catValu>
        <labl>
          Patiala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0510
        </catValu>
        <labl>
          Dehradun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0511
        </catValu>
        <labl>
          Almora
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0610
        </catValu>
        <labl>
          Chandigarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0611
        </catValu>
        <labl>
          Ambala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0612
        </catValu>
        <labl>
          Bhiwani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0613
        </catValu>
        <labl>
          Hisar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0614
        </catValu>
        <labl>
          Karnal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0615
        </catValu>
        <labl>
          Rohtak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0710
        </catValu>
        <labl>
          Delhi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0810
        </catValu>
        <labl>
          Ajmer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0811
        </catValu>
        <labl>
          Jodhpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0812
        </catValu>
        <labl>
          Udaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0820
        </catValu>
        <labl>
          Jaipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0821
        </catValu>
        <labl>
          Alwar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0822
        </catValu>
        <labl>
          Ganganagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0823
        </catValu>
        <labl>
          Kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0910
        </catValu>
        <labl>
          Agra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0911
        </catValu>
        <labl>
          Aligarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0912
        </catValu>
        <labl>
          Meerat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0920
        </catValu>
        <labl>
          Allahabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0921
        </catValu>
        <labl>
          Azamgrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0922
        </catValu>
        <labl>
          Faizabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0923
        </catValu>
        <labl>
          Gorakgpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0924
        </catValu>
        <labl>
          Varanasi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0930
        </catValu>
        <labl>
          Bareilly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0931
        </catValu>
        <labl>
          Moradabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0932
        </catValu>
        <labl>
          Sitapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0933
        </catValu>
        <labl>
          Sharanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0940
        </catValu>
        <labl>
          Lucknow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0941
        </catValu>
        <labl>
          Fatehpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0942
        </catValu>
        <labl>
          Gonda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0943
        </catValu>
        <labl>
          Jhansi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0944
        </catValu>
        <labl>
          Kanpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1010
        </catValu>
        <labl>
          Muzaffarpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1011
        </catValu>
        <labl>
          Darbhanga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1012
        </catValu>
        <labl>
          Motihari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1013
        </catValu>
        <labl>
          Purnia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1020
        </catValu>
        <labl>
          Gaya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1021
        </catValu>
        <labl>
          Bhagalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Gangtok
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Kohima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Imphal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          Shillong
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1711
        </catValu>
        <labl>
          Tura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1712
        </catValu>
        <labl>
          Agartala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1810
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1811
        </catValu>
        <labl>
          Silchar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1820
        </catValu>
        <labl>
          Dibrugarh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1821
        </catValu>
        <labl>
          Jorhat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1822
        </catValu>
        <labl>
          Tezpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Barddhaman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Bankura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Chinsura
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1913
        </catValu>
        <labl>
          Medinipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Kolkata
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Howrah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Maldah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Siliguri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          Ranchi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          Dumka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          Hazaribag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          Jamshedpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Bhubaneswar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Baripada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Behrampur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2113
        </catValu>
        <labl>
          Cuttak
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Sambalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Bhawanipatn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Raipur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Ambikapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Bilaspur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Durg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Bhopal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Chhindwara
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Khandwa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Indore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Gwalior
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Ratlam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Shivpuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Ujjain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Jabalpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2331
        </catValu>
        <labl>
          Rewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2332
        </catValu>
        <labl>
          Sagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Ahmedabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Bhavnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Jamnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Rajkot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2414
        </catValu>
        <labl>
          Surendranaga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Baroda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Mahesana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Nadiad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Surat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Valsad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2710
        </catValu>
        <labl>
          Aurangabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2711
        </catValu>
        <labl>
          Jalgaon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2712
        </catValu>
        <labl>
          Nandel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2713
        </catValu>
        <labl>
          Nashik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2720
        </catValu>
        <labl>
          Mumbai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2721
        </catValu>
        <labl>
          Thane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2730
        </catValu>
        <labl>
          Nagpur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2731
        </catValu>
        <labl>
          Akola
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2732
        </catValu>
        <labl>
          Amravati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2740
        </catValu>
        <labl>
          Pune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2741
        </catValu>
        <labl>
          Kolhapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2742
        </catValu>
        <labl>
          Solapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          Cuddapah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2811
        </catValu>
        <labl>
          Anantapur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2812
        </catValu>
        <labl>
          Guntur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2813
        </catValu>
        <labl>
          Kurnool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2814
        </catValu>
        <labl>
          Nellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          Hyderabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2821
        </catValu>
        <labl>
          Karimnagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2822
        </catValu>
        <labl>
          Nizamabad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2823
        </catValu>
        <labl>
          Warangal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2830
        </catValu>
        <labl>
          Vijayawada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2831
        </catValu>
        <labl>
          Kakinada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2832
        </catValu>
        <labl>
          Visakhapatnam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2833
        </catValu>
        <labl>
          Guwahati
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2910
        </catValu>
        <labl>
          Bangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2911
        </catValu>
        <labl>
          Mangalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2912
        </catValu>
        <labl>
          Mysore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2913
        </catValu>
        <labl>
          Shimoga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2920
        </catValu>
        <labl>
          Hubli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2921
        </catValu>
        <labl>
          Belgaum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2922
        </catValu>
        <labl>
          Bellary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2923
        </catValu>
        <labl>
          Gulbarga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2924
        </catValu>
        <labl>
          Panaji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Kozhikode
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3211
        </catValu>
        <labl>
          Kannur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3212
        </catValu>
        <labl>
          Palakkad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3213
        </catValu>
        <labl>
          Thrissur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Thiruvanathapuram
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Kochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3222
        </catValu>
        <labl>
          Kollam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3223
        </catValu>
        <labl>
          Kottayam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Coimbatore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3311
        </catValu>
        <labl>
          Dharmapuri
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3312
        </catValu>
        <labl>
          Salem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3313
        </catValu>
        <labl>
          Tiruchirappali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Chennai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Cuddalore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          Vellore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Pondicherry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3330
        </catValu>
        <labl>
          Madurai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3331
        </catValu>
        <labl>
          Thanjavur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3332
        </catValu>
        <labl>
          Tirunelveli
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3333
        </catValu>
        <labl>
          Virudhunagar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Port Blair
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V220" name="hg_sb_No" files="F7" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Hemlat/Sub-block
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Large FSUs having approximate present population of 1200 or more is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. approximate present population of the sample village/block no. of hgs/sbs to be formed (D) less than 1200 (no hamlet-groups/sub-blocks) 1 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 …………..and so on For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur, Doda districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups formed is as follows. approximate present population of the sample village no. of hgs to be formed less than 600 (no hamlet-groups) 1 600 to 899 3
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V221" name="Second_Stage_Stratum" files="F7" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Secon Stage Stratum
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The listed households has been stratified into two SSS as under: SSS composition of SSS within a sample FSU Number of Household to be sueveyed ----------------------------------------------------------------------------------------------------------------------------------------------------- FSU without hg/sb formation | FSU with hg/sb |formation (for each |hs/sb) ------------------------------------------------------------------------------------------------------------------------------------------------------- SSS 1: relatively affluent households 2 1 SSS 2: other households 2 1
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V222" name="HHS_No" files="F7" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Household Serial Number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The sample household number (i.e., order of selection) of the selected household
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V223" name="Level" files="F7" intrvl="discrete">
      <location StartPos="35" EndPos="36" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V224" name="Filler" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Filler
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V225" name="Item_Code" files="F7" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Item Code
      </labl>
      <qstn>
        <ivuInstr>
          code item Name 550 bedstead 551 almirah, dressing table 552 chair, stool, bench, table 553 suitcase, trunk, box, handbag and other tr 554 foam, rubber cushion 555 carpet, daree &amp; other floor mattings 556 paintings, drawings engravings etc. 557 other furniture &amp; fixtures(couch, sofa etc 559 furniture &amp; fixtures(s.t) 560 radio 561 television 562 VCR/VCP/DVD player 563 camera &amp; other photographic equipment 564 tape recorder, CD player 565 audio/vedio cassette,CD,DVD,etc 566 musical instruments 567 other goods for recreation and entertainem 569 goods for recreation (s.t) 570 gold ornaments 571 silver ornaments 572 jewels, pearls 573 other ornaments 579 Jewelry and Ornaments(s.t) 580 stainless steel utensil 581 other metal utensil 582 casseroles,thrmos,thermoware 583 other crockery &amp; utensils 589 crockery &amp; utensils (s.t) 590 electric fan 591 air conditioner, air cooler 592 lantern, lamp, electric lampshade 593 sewing machine 594 washing machine 595 stove 596 pressure cooker/pressure pan 597 refrigerator 598 water purifier 600 electric iron, heater, toaster, other elec 601 other cooking/household appliances 609 Cooking and other Household Appliances(s.t) 610 bicycle 611 motor cycle, scooter 612 motor car , jeep 613 tyres &amp; tubes 614 other transport equipment 619 personal transport equipment: s.t. 620 contact lenses,hearing aids &amp; orthopaedic euipment 621 other medical equipment 629 therapautic appliances &amp; equipment(s.t) 630 clock, watch 631 other machines for household work 632 personal computer 633 mobile handset 634 telephone instrument 635 any other personal goods 639 Other Personal Goods(s.t) 640 bathroom and sanitary equipment 641 plugs, switches &amp; other electrical fitting 642 residential building &amp; land (cost of repai 643 other durables (specify) 649 residential building, land &amp; other durable (s.t) 659 Durable goods: total
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        It contain items belongs to the catagory of durable goods.
      </txt>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          bedstead
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          almirah, dressing table
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          chair, stool, bench, table
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other tr
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          foam, rubber cushion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          carpet, daree &amp; other floor mattings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          paintings, drawings engravings etc.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          other furniture &amp; fixtures(couch, sofa etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          furniture &amp; fixtures(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          radio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          television
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          VCR/VCP/DVD player
        </labl>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          tape recorder, CD player
        </labl>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          audio/vedio cassette,CD,DVD,etc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          musical instruments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          other goods for recreation and entertainem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          goods for recreation (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          gold ornaments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          silver ornaments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          jewels, pearls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          other ornaments
        </labl>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          Jewelry and Ornaments(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          stainless steel utensil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          other metal utensil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          casseroles,thrmos,thermoware
        </labl>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          other crockery &amp; utensils
        </labl>
      </catgry>
      <catgry>
        <catValu>
          589
        </catValu>
        <labl>
          crockery &amp; utensils (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          590
        </catValu>
        <labl>
          electric fan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          lantern, lamp, electric lampshade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          593
        </catValu>
        <labl>
          sewing machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          594
        </catValu>
        <labl>
          washing machine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          595
        </catValu>
        <labl>
          stove
        </labl>
      </catgry>
      <catgry>
        <catValu>
          596
        </catValu>
        <labl>
          pressure cooker/pressure pan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          597
        </catValu>
        <labl>
          refrigerator
        </labl>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          water purifier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          electric iron, heater, toaster, other elec
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          other cooking/household appliances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          609
        </catValu>
        <labl>
          Cooking and other Household Appliances(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          bicycle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          motor car , jeep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          personal transport equipment: s.t.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          contact lenses,hearing aids &amp; orthopaedic euipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          other medical equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          629
        </catValu>
        <labl>
          therapautic appliances &amp; equipment(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          clock, watch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          other machines for household work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          personal computer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          mobile handset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          telephone instrument
        </labl>
      </catgry>
      <catgry>
        <catValu>
          635
        </catValu>
        <labl>
          any other personal goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other Personal Goods(s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          bathroom and sanitary equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          plugs, switches &amp; other electrical fitting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          residential building &amp; land (cost of repai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          other durables (specify)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          residential building, land &amp; other durable (s.t)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Durable goods: total
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V226" name="No_in_use" files="F7" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="44" width="3" RecSegNo="1"/>
      <labl>
        Number of durable goods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="220"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of durable good in use on the date of survey: The number in use is the number possessed, excluding any item which is unusable and not likely to be repaired. It includes those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="First_hand_purchase_No" files="F7" dcml="0" intrvl="contin">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        First Hand Purchase
      </labl>
      <qstn>
        <ivuInstr>
          no. purchased (first-hand): The number of each item of durable goods purchased (first-hand) for which some expenditure has been incurred during the reference period will be recorded in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of goods purchased (first-hand): The number of each item of durable goods purchased (first-hand) for which some expenditure has been incurred during the reference period.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="Whether_hire_purchased" files="F7" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Hire Purchase first hand
      </labl>
      <qstn>
        <ivuInstr>
          whether hire purchased (first-hand): If an item of durable goods is purchased on instalment payment and the expenditure made on it during the reference period consists of one or more such instalment payments, code 1 will be recorded in this column. Otherwise i.e., when durable goods are purchased and entire amount is paid during the reference period, code 2 will be recorded in this column. Note: If more than one of a particular item are purchased during the reference period and some of them are purchased on hire-purchase basis and the remaining are purchased outright, then code 1 will be recorded in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Whether hire purchased (first-hand): If an item of durable goods is purchased on instalment payment and the expenditure made on it during the reference period consists of one or more such instalment payments than code 1 , Otherwise ,code 2 .
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="First_hand_purchase_Value" files="F7" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="54" width="7" RecSegNo="1"/>
      <labl>
        First Hand Purchased value
      </labl>
      <qstn>
        <ivuInstr>
          value (first-hand purchase): Value of first-hand purchase during the reference period will be entered in this column. The total amount paid during the reference period will be recorded here.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1106000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Value (Rs) of goods purchased (first-hand): The value of each item of durable goods purchased (first-hand) during the reference period.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="Cost_raw_material_repair" files="F7" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="60" width="6" RecSegNo="1"/>
      <labl>
        Cost of Raw Materials
      </labl>
      <qstn>
        <ivuInstr>
          cost of raw materials and services for construction and repair: This column is for recording expenditure on materials and services for construction, assemblage, repair and maintenance of all durable goods - first-hand as well as second-hand. Value of durable goods constructed will comprise value of raw materials, services and/or labour charges and any other charges. The total value of raw materials, services and labour charges will be recorded in this block. Here, expenditure incurred towards repair and maintenance of items purchased second-hand will also be accounted.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="540090"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Cost of raw materials and services for construction and repair: Value (Rs) of expenditure on materials and services for construction, assemblage, repair and maintenance of all durable goods - first-hand as well as second-hand.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V231" name="Sec_hand_purchase_No" files="F7" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Second hand purchase number
      </labl>
      <qstn>
        <ivuInstr>
          no. purchased (second-hand purchase): The number of each item of second-hand durable goods purchased during the reference period will be recorded in this column. An imported item of durables, even if second-hand, will be treated as first-hand purchase and information will be recorded against the relevant columns.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of goods purchased (second-hand): The number of each item of durable goods purchased (secondt-hand) for which some expenditure has been incurred during the reference period.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V232" name="Sec_hand_purchase_Value" files="F7" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Second Hand Purchased Value
      </labl>
      <qstn>
        <ivuInstr>
          value (second-hand purchase): Value of second-hand purchase during the reference period will be entered in this column.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Value (Rs) of goods purchased (second-hand): The value of each item of durable goods purchased (second-hand) during the reference period.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V233" name="Total_expenditure" files="F7" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="74" width="7" RecSegNo="1"/>
      <labl>
        Total Expenditure
      </labl>
      <qstn>
        <ivuInstr>
          total expenditure: It is the sum of value of first-hand purchase, cost of raw materials and services for construction and repair and value of the second-hand purchase.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1119000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Total expenditure: It is the sum of value of first-hand purchase, cost of raw materials and services for construction and repair and value of the second-hand purchase.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V234" name="OK_stamp" files="F7" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Ok Stamp
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V235" name="Blank" files="F7" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Blank
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="nss" files="F7" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="nsc" files="F7" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        nsc
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="mlt" files="F7" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="86" width="8" RecSegNo="1"/>
      <labl>
        posted multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="350" max="33098687"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V239" name="Multiplier" files="F7" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="111" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="1.75" max="165493.435"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Calculated multiplier Apply weight (or multipliers) as follows : For generating subsample-combined estimates based on data of all subrounds taken together all households/ enterprises are to be considered. Apply weight (or multipliers) as follows : weight = MLT/100, if NSS=NSC
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
  <otherMat level="study" URI="C:\nss64_consumer\reports\503_final.pdf">
    <labl>
      schedule 1.0
    </labl>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Instrn. to Field Staff_64_1.0\Schedule_64_1.0.pdf">
    <notes>
      Questionnaires-Household consumer Expenditure-Schedule 1.0
    </notes>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Instrn. to Field Staff_64_1.0\Chapter-1_64.pdf">
    <notes>
      Concepts, Definitions and Procedures
    </notes>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Estimation Procedure_64.pdf">
    <notes>
      Estimation Procedure
    </notes>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Instrn. to Field Staff_64_1.0\Chapter-5_64_1.0.pdf">
    <notes>
      Instruction to field staff
    </notes>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Distribution of Sample Village and blocks.pdf">
    <notes>
      Distribution of Sample Village and Block
    </notes>
  </otherMat>
  <otherMat level="study" URI="supporting documents\Sub-Stratum Size and Allocation for Sector.pdf">
    <notes>
      Sub-Stratum Size and Allocation for Sector
    </notes>
  </otherMat>
  <otherMat level="study" URI="reports\530_final.pdf">
    <notes>
      Tables and Reports
    </notes>
  </otherMat>
</codeBook>
