<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="2.5" ID="DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06" xml-lang="en" xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-2006</IDNo>
      <titl>Household Consumer Expenditure, July 2005 - June 2006</titl>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="M/O Statistics &amp; Programme Implementation" role="Documentation of the study">Computer Centre</producer>
      <prodDate date="2012-04-02">2012-04-02</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 1.0 (April 2012)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Household Consumer Expenditure, July 2005 - June 2006</titl>
      <subTitl>NSS 62nd Round</subTitl>
      <altTitl>HCES 2005-06 : NSS 62nd Round</altTitl>
      <parTitl/>
      <IDNo>DDI-IND-MOSPI-NSSO-62Rnd-Sch1.0-2005-06</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
      <othId role="Finalisation of survey study" affiliation="GOI" email="">
        <p>Governing council and Working Group</p>
      </othId>
    </rspStmt>
    <prodStmt>
      <producer abbr="SDRD" affiliation="National Sample Survey Office" role="Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Design, Sampling methodology, Survey Reports">Survey Design Reearch Division</producer>
      <producer abbr="FOD" affiliation="National Sample Survey Office" role="Field Work">Field Operations Division</producer>
      <producer abbr="DPD" affiliation="National Sample Survey Office" role="Data Processing">Data Processing Division</producer>
      <producer abbr="CC, MOSPI" affiliation="M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI)" role="Tabulation and Dissemination">Computer Centre</producer>
      <copyright/>
      <software version="beta" date="2026-08-21">MetadataEditor</software>
      <prodDate/>
      <prodPlac/>
      <fundAg abbr="MOSPI" role="">M/o Statistics &amp; Programme Implementation, GOI</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.gov.in/" email="">ADG, SDRD , NSSO</contact>
      <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.nic.in/Mospi_New/site/home.aspx" email="">DDG, Computer Centre</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Socio-Economic/Monitoring Survey [hh/sems]</serName>
      <serInfo><![CDATA[The National Sample Survey Organisation (NSSO) has been set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods. The NSSO conducts regular consumer expenditure surveys as part of its &quot;rounds&quot;, each round being normally of a year&#039;s duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. It was conducted during July 2005 to June 2006. 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.  

The word &quot;consumption&quot; is used in different senses. The main reason for this is that some items can be used only once while others can be used repeatedly. A household consumer expenditure survey, therefore, needs to assign different meanings to consumption for different items. The NSS traditionally uses three different definitions or approaches to consumption of different items: Consumption approach, Expenditure approach and  First-use approach. Items of consumption have been classified into four groups. The Consumption approach is used for Group I, the First-use approach for Group II and the Expenditure approach for Groups III and IV. The four groups of items are:

Group I: Items of food other than &#039;cooked meals*&#039;, pan, tobacco and intoxicants and fuel and light: Consumption is the actual consumption during the reference period. Both quantity and value of such consumption are collected.

Group II: Items of clothing and footwear: An item is consumed if it is brought into first use during the reference period. The item may or may not be procured within the reference period. It can be procured through purchase or home production, or as gift or charity. Both quantity and value are collected.

Group III: Durable goods: Any expenditure incurred on an item for purchase or towards cost of raw materials and services for its construction and repair during the reference period is treated as consumption of the item. 

Group IV: Cooked meals; Miscellaneous goods and services including education, medical, rent, taxes and cesses: Any expenditure incurred on the item during the reference period is treated as consumption of the item. Consumption is recorded in value terms only.

The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of &quot;last 30 days&quot; for some items of consumption and &quot;last 365 days&quot; for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information. The schedule also collected some other household particulars including age, sex and educational level of each household member.

The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design &amp; Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.]]></serInfo>
    </serStmt>
    <verStmt>
      <version date="2012-04-02">V1.0;  Re-organised anonymised dataset for  public distribution.</version>
      <verResp/>
      <notes><![CDATA[]]></notes>
    </verStmt>
    <biblCit format=""><![CDATA[]]></biblCit>
    <notes><![CDATA[]]></notes>
  </citation>
  <studyAuthorization date="">
    <authorizationStatement><![CDATA[]]></authorizationStatement>
  </studyAuthorization>
  <stdyInfo>
    <studyBudget><![CDATA[]]></studyBudget>
    <subject>
                  
                  
    </subject>
    <abstract><![CDATA[The National Sample Survey Office (NSSO)  conducts regular consumer expenditure surveys as part of its &quot;rounds&quot;, each round being normally of a year&#039;s duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Apart from these quinquennial surveys, the NSSO collected information on consumer expenditure from a smaller sample of households since 42nd round (July 1986 - June 1987). Nowadays every round of NSS includes a consumer expenditure survey (CES), giving rise to an annual series of consumption data. The 61st round CES, conducted in 2004-05, was the seventh quinquennial CES. The other CES&#039;s, of which the 62nd round survey is one, are referred to collectively as the &quot;annual series&quot; of CES&#039;s. The 62nd round survey is the seventeenth in the annual series of surveys of household consumer expenditure. It was conducted during July 2005 to June 2006. 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. The household consumer expenditure schedule used for the survey collected information on quantity and value of household consumption with a reference period of &quot;last 30 days&quot; for some items of consumption and &quot;last 365 days&quot; for some less frequently purchased items. To minimise recall errors, a very detailed item classification was, as usual, adopted to collect information, including 148 items of food, 13 items of fuel, 28 items of clothing, bedding and footwear, 18 items of educational and medical expenses, 52 items of durable goods, and about 85 other items. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member.]]></abstract>
    <sumDscr>
      <collDate date="2005-07-01" event="start" cycle="Sub round 1"/>
      <collDate date="2005-09-30" event="end" cycle="Sub round 1"/>
      <collDate date="2005-10-01" event="start" cycle="Sub round 2"/>
      <collDate date="2005-12-31" event="end" cycle="Sub round 2"/>
      <collDate date="2006-01-01" event="start" cycle="Sub round 3"/>
      <collDate date="2006-03-31" event="end" cycle="Sub round 3"/>
      <collDate date="2006-04-01" event="start" cycle="Sub round 4"/>
      <collDate date="2006-06-30" event="end" cycle="Sub round 4"/>
      <nation abbr="IND">India</nation>
      <geogCover>The survey covered the whole of the Indian Union except (i) Leh (Ladakh), Kargil, Punch and Rajauri districts of Jammu &amp; Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of a bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.</geogCover>
      <geogCoverNote/>
      <geogUnit/>
      <anlyUnit><![CDATA[Randomly selected households  based on sampling procedure and members of the household]]></anlyUnit>
      <universe><![CDATA[The survey used the interview method of data collection from a sample of randomly selected households and members of the household.]]></universe>
      <dataKind>Sample survey data [ssd]</dataKind>
    </sumDscr>
    <qualityStatement>
      <standardsCompliance>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes><![CDATA[The NSSO surveys on consumer expenditure aim to measure the household consumer expenditure in quantitative terms disaggregated by various household characteristics. 

The data for this survey was collected in the NSS Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had 12 blocks.

Blocks 0, 1 and 2 - were similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling  etc. were recorded in this block.

Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. were recorded. 

Block-5: In this block cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days were recorded. 

Block-6: In this block consumption of fuel &amp; light during the last 30 days was recorded.

Block-7: Consumption of clothing, bedding, etc. during the last 365 days was recorded in this block.

Block-8 : Consumption of footwear during the last 365 days  was recorded in this block.

Block-9 : Expenditure on education and medical (institutional) goods and services during the last 365 days was recorded in Block 9.

Block-10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days has been recorded in this block.

Block-11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days has been recorded in this block.

Block-12: Contains the summary of consumer expenditure.]]></notes>
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="NSS(FOD)" role="" affiliation="MOSPI">NSSO(FOD)</dataCollector>
      <frequenc/>
      <sampProc><![CDATA[Sample Design
A stratified multi-stage design was adopted for the 62nd round survey. The first stage units (FSU) were the 2001 census (for Manipur, 1991 census) villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) were households in both the sectors. 

In the case of large villages/ blocks requiring hamlet-group (hg)/ sub-block (sb) formation, one intermediate stage was the selection of two hgs/ sbs from each FSU.

Sampling frame: 
The list of villages as per census 2001 (for Manipur, 1991 census was used since 2001 census list was not available) was used as frame for the rural sector and the latest available list of UFS blocks was used as frame in the urban sector. However, EC-98 was used as frame for the 27 towns with population 10 lakhs or more (as per Census 2001).

Stratification: 
Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum. There are 27 towns with population 10 lakhs or more at all-India level as per census 2001.

Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.
1. For the rural sector, a cut-off point &#039;X&#039; (in hectares) was determined at State/ UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.
2. Similarly, in the urban sector, a cut-off point &#039;A&#039; (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE equal to or more than &#039;A&#039;. All the listed households with MPCE less than &#039;A&#039; were placed in SSS 1 and the rest in SSS 2.

From each SSS, the sample households were selected by SRSWOR.]]></sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat>There was no deviation from the original sampling design.</deviat>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru><![CDATA[Summary description of the schedule 1.0 on consumer expenditure for NSS 62nd  round consisted of 12 blocks is given below. 
 
Blocks 0, 1 and 2 - were similar to the ones used in usual NSS rounds. These were used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics

Block-4: Particulars of household members

Block-5: Cash purchase and consumption of food, pan, tobacco and intoxicants during the last 30 days 

Block-6: Consumption of fuel &amp; light during the last 30 days 

Block-7: Consumption of clothing, bedding, etc. during the last 365 days 

Block-8 : Consumption of footwear during the last 365 days  

Block-9 : Expenditure on education and medical (institutional) goods and services during the last 365 days 

Block-10 : Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days 

Block-11 : Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use during the last 365 days 

Block-12: Summary of consumer expenditure.]]></resInstru>
      <instrumentDevelopment type=""/>
      <collSitu><![CDATA[]]></collSitu>
      <actMin><![CDATA[]]></actMin>
      <ConOps><![CDATA[]]></ConOps>
      <weight><![CDATA[Two different weights have been  provided in each file in the data set. Details are as follows:-

1.  Weight   for each sub sample is stored in the variable name   : WGT_SS
2. Combined subsample  weight   is stored in  the variable name : WGT_SS_Combined]]></weight>
      <cleanOps><![CDATA[]]></cleanOps>
    </dataColl>
    <notes><![CDATA[]]></notes>
    <anlyInfo>
      <respRate><![CDATA[]]></respRate>
      <EstSmpErr><![CDATA[]]></EstSmpErr>
      <dataAppr><![CDATA[]]></dataAppr>
    </anlyInfo>
    <stdyClas><![CDATA[]]></stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes><![CDATA[]]></notes>
    </setAvail>
    <useStmt>
      <restrctn/>
      <contact affiliation="M/O Statistics and Programme Implementation" URI="http://mospi.nic.in/Mospi_New/site/home.aspx" email="nssodata@gmail.com">Computer Centre</contact>
      <citReq><![CDATA[]]></citReq>
      <deposReq><![CDATA[]]></deposReq>
      <conditions><![CDATA[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>
      <disclaimer><![CDATA[The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.]]></disclaimer>
    </useStmt>
    <notes><![CDATA[]]></notes>
  </dataAccs>
  <notes><![CDATA[]]></notes>
</stdyDscr>
<fileDscr ID="F1">
  <fileTxt>
    <fileName>Block 3_Household Characteristics</fileName>
    <fileCont>This block contains data on various household characteristics.</fileCont>
    <dimensns>
      <caseQnty>39436</caseQnty>
      <varQnty>42</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F2">
  <fileTxt>
    <fileName>Block 4_Person records</fileName>
    <fileCont>Demographic and other particulars of the household members are available in this block.</fileCont>
    <dimensns>
      <caseQnty>190022</caseQnty>
      <varQnty>38</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F3">
  <fileTxt>
    <fileName>Block 5_Monthly household expenditure on food and non food items</fileName>
    <fileCont>This block contains information on consumption of cereals, pulses, milk, sugar and salt by the household during a reference period of 30 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>1889174</caseQnty>
      <varQnty>28</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F4">
  <fileTxt>
    <fileName>Block 6_Monthly household expenditure on fuel and light</fileName>
    <fileCont>This block contains data on consumption of fuel &amp; light by the household during the last 30 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>201946</caseQnty>
      <varQnty>28</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F5">
  <fileTxt>
    <fileName>Block 7_Household expenditure on clothing, bedding etc</fileName>
    <fileCont>This block contains data on consumption of clothing, bedding etc. by the household during the last 365 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>348850</caseQnty>
      <varQnty>27</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F6">
  <fileTxt>
    <fileName>Block 8_Household expenditure on footwear</fileName>
    <fileCont>This block contains data on household expenditure on footwear by the household during the last 365 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>123087</caseQnty>
      <varQnty>27</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F7">
  <fileTxt>
    <fileName>Block 9_Household expenditure on education and medical (institutional) goods and services</fileName>
    <fileCont>This block contains data on expenditure on education and medical (institutional) goods and services by the household during the last 365 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>138669</caseQnty>
      <varQnty>26</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F8">
  <fileTxt>
    <fileName>Block 10_ Monthly household expenditure on misc goods and services</fileName>
    <fileCont>This block contains data on expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes by the household during the last 30 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>810313</caseQnty>
      <varQnty>26</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F9">
  <fileTxt>
    <fileName>Block 11_Household expenditure on durables</fileName>
    <fileCont>This block contains data on expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use  by the household during the last 365 days preceding the date of survey.</fileCont>
    <dimensns>
      <caseQnty>442842</caseQnty>
      <varQnty>33</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="F10">
  <fileTxt>
    <fileName>Blocks 1,2_Identification of Sample Household</fileName>
    <fileCont>These blocks contains data for identification of the sample household. Particulars of field operations are also available in these blocks.</fileCont>
    <dimensns>
      <caseQnty>39436</caseQnty>
      <varQnty>32</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="V1" name="HHID" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Primary key - unique identifier for a household</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V2" name="CentreCodeRoundShift" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V3" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V4" name="Round" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V5" name="ScheduleNumber" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V6" name="Sample" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V7" name="Sector" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V8" name="St_Region" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V9" name="State" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V10" name="District" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V11" name="Stratum" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V12" name="SubStratum" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V13" name="SubRound" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V14" name="SubSample" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V15" name="FODSubRegion" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V16" name="SegmentNo" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V17" name="Stage2_Stratum" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V18" name="Hhold_no" files="F1" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">4.0</sumStat>
  <sumStat type="mean">1.3281265848463333</sumStat>
  <sumStat type="stdev">0.5217724907157016</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
</var>
<var ID="V19" name="Level" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V20" name="B3_q1" files="F1" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Household Size</labl>
  <qstn>
    <qstnLit>How many members are there in the household?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">39.0</sumStat>
  <sumStat type="mean">4.818490719139872</sumStat>
  <sumStat type="stdev">2.626163608823128</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
  <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) will be recorded against this item.</txt>
</var>
<var ID="V21" name="B3_q2" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>NIC Code(5-digit)</labl>
  <qstn>
    <qstnLit>Which industry are you working in?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The description of the principal household industry has been recorded in the space provided.</txt>
</var>
<var ID="V22" name="B3_q3" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NCO Code(3-digit)</labl>
  <qstn>
    <qstnLit>Which occupation are you in?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The description of the principal household occupation has been recorded in the space provided.</txt>
</var>
<var ID="V23" name="B3_q4" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Household type</labl>
  <qstn>
    <qstnLit>Household type</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V24" name="HH_Type" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Household type with sector</labl>
  <qstn>
    <qstnLit>Household type with sector</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The household type code based on the means of livelihood of a household has been decided on the basis of the sources of the household's income during the 365 days preceding the date of survey.</txt>
  <codInstr>This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".</codInstr>
</var>
<var ID="V25" name="B3_q5" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Religion</labl>
  <qstn>
    <qstnLit>What is your religion?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V26" name="B3_q6" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Social Group</labl>
  <qstn>
    <qstnLit>Which social group do you belong to?
Do you come under scheduled caste or  scheduled tribe or others category?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V27" name="B3_q7" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Land possessed code</labl>
  <qstn>
    <qstnLit>How much land do you own?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V28" name="B3_q8" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Dwelling unit code</labl>
  <qstn>
    <qstnLit>Do you own the dwelling unit? Or is it hired or otherwise occupied?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>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>
</var>
<var ID="V29" name="B3_q9" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Type of dwelling code</labl>
  <qstn>
    <qstnLit>What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V30" name="B3_q10" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Type of structure</labl>
  <qstn>
    <qstnLit>What is the type of structure of the dwelling?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V31" name="B3_q11" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="4"/>
  <labl>Covered area (sq. m)</labl>
  <qstn>
    <qstnLit>How much is the covered area of the dwelling?</qstnLit>
  </qstn>
  <sumStat type="vald">39193</sumStat>
  <sumStat type="invd">243</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">3000.0</sumStat>
  <sumStat type="mean">58.560635827826395</sumStat>
  <sumStat type="stdev">73.39035576264098</sumStat>
</var>
<var ID="V32" name="B3_q12" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Cooking code</labl>
  <qstn>
    <qstnLit>What is the primary source of energy that is being used by the household for cooking?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V33" name="B3_q13" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Lighting code</labl>
  <qstn>
    <qstnLit>What is the primary source of energy that is being used by the household for lighting?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V34" name="B3_q14" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Monthly per capita expenditure</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">25.08</sumStat>
  <sumStat type="max">52371.29</sumStat>
  <sumStat type="mean">1113.9346713662644</sumStat>
  <sumStat type="stdev">1014.7150784787733</sumStat>
</var>
<var ID="V35" name="B3_q15" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Performance of any ceremony last month</labl>
  <qstn>
    <qstnLit>Did the household perform any ceremony?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Ceremonies are frequently performed to solemnize some events of life such as birth, marriage, etc. There are also rites consequent upon the death of a person.  Such ceremonies may be performed by household members as required under the social/religious customs without incurring expenditure for entertaining guests.  On the other hand, some households may spend a considerable amount of money for entertaining guests with meals during these occasions. Only the latter type of ceremony, in other words, only those ceremonies on which guests are entertained with meals (not just snacks) will be considered for the purposes of item 15 as ceremonies performed. Even an occasion which is not a traditional occasion for celebration or social gathering will be considered a ceremony if meals are served to a large number of guests by the household.</txt>
</var>
<var ID="V36" name="B3_q16" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="4"/>
  <labl>No. of meals served to non-hhold members last month</labl>
  <qstn>
    <qstnLit>How many meals were served to non household members by the household during the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald">29022</sumStat>
  <sumStat type="invd">10414</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">1248.0</sumStat>
  <sumStat type="mean">8.620115774240231</sumStat>
  <sumStat type="stdev">27.58437958679916</sumStat>
  <txt>The total number of meals served to non-household members during the last 30 days have been recorded against this item.</txt>
</var>
<var ID="V37" name="B3_q17" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Purchase any cereal from ration/ fair price shop last month</labl>
  <qstn>
    <qstnLit>Did you purchase any cereal from ration or fair price shop last month?</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V38" name="NSS" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V39" name="NSC" files="F1" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V40" name="MLT" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10561.060868242215</sumStat>
  <sumStat type="stdev">22867.154224384918</sumStat>
</var>
<var ID="V41" name="WGT_SS" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">105.61060868242217</sumStat>
  <sumStat type="stdev">228.6715422438492</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V42" name="WGT_SS_Combined" files="F1" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">52.92879977305</sumStat>
  <sumStat type="stdev">114.35705053720274</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V43" name="Person_key" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="11"/>
  <labl>Primary key - unique identifier for a member in the household</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for uniquely identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.</codInstr>
</var>
<var ID="V44" name="HHID" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V45" name="CentreCodeRoundShift" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V46" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V47" name="Round" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V48" name="ScheduleNumber" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V49" name="Sample" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V50" name="Sector" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V51" name="St_Region" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V52" name="State" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V53" name="District" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V54" name="Stratum" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V55" name="SubStratum" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V56" name="SubRound" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V57" name="SubSample" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V58" name="FODSubRegion" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V59" name="SegmentNo" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V60" name="Stage2_Stratum" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V61" name="Hhold_no" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">4.0</sumStat>
  <sumStat type="mean">1.316410731388997</sumStat>
  <sumStat type="stdev">0.5138976903486442</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
</var>
<var ID="V62" name="Level" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V63" name="B4_q1" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Serial No. of members</labl>
  <qstn>
    <qstnLit>Serial No. of members</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">39.0</sumStat>
  <sumStat type="mean">3.6248802770205555</sumStat>
  <sumStat type="stdev">2.6015561750220666</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>31</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>37</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
</var>
<var ID="V64" name="B4_q3" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Relation to Head Code</labl>
  <qstn>
    <qstnLit>What is your relation to head of the household?</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V65" name="B4_q4" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sex Code</labl>
  <qstn>
    <qstnLit>Sex of the member</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V66" name="B4_q5" files="F2" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="3"/>
  <labl>Age</labl>
  <qstn>
    <qstnLit>Age of the member</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">113.0</sumStat>
  <sumStat type="mean">27.959473113639472</sumStat>
  <sumStat type="stdev">19.087084397273458</sumStat>
</var>
<var ID="V67" name="B4_q6" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Marital Status Code</labl>
  <qstn>
    <qstnLit>Marital status of the member</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V68" name="B4_q7" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>General Education Code</labl>
  <qstn>
    <qstnLit>Education of the member</qstnLit>
  </qstn>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V69" name="B4_q8" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>No. of days stayed away</labl>
  <qstn>
    <qstnLit>How many days a member has stayed away from the household?</qstnLit>
  </qstn>
  <sumStat type="vald">55785</sumStat>
  <sumStat type="invd">134237</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">30.0</sumStat>
  <sumStat type="mean">1.5025185981894775</sumStat>
  <sumStat type="stdev">4.223596703270491</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
</var>
<var ID="V70" name="B4_q9" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>No. of meals taken in a day</labl>
  <qstn>
    <qstnLit>How many meals do you usually take in a day?</qstnLit>
  </qstn>
  <sumStat type="vald">189872</sumStat>
  <sumStat type="invd">150</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">3.0</sumStat>
  <sumStat type="mean">2.4124146793629393</sumStat>
  <sumStat type="stdev">0.5684194897868694</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
</var>
<var ID="V71" name="B4_q10" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>No. of meals taken away from home free of cost  - from school, balwadi etc.</labl>
  <qstn>
    <qstnLit>If  you or any member of the household  take meals free of cost from school, balwadi etc, then how many such meals are taken in a day?</qstnLit>
  </qstn>
  <sumStat type="vald">36882</sumStat>
  <sumStat type="invd">153140</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">90.0</sumStat>
  <sumStat type="mean">3.31777018599859</sumStat>
  <sumStat type="stdev">7.8838875368393815</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>60</catValu>
  </catgry>
  <catgry>
    <catValu>78</catValu>
  </catgry>
  <catgry>
    <catValu>84</catValu>
  </catgry>
  <catgry>
    <catValu>87</catValu>
  </catgry>
  <catgry>
    <catValu>90</catValu>
  </catgry>
</var>
<var ID="V72" name="B4_q11" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>No. of meals taken away from home free of cost  - from employer</labl>
  <qstn>
    <qstnLit>If you or any member of the household  take meals free of cost from employer, then how many such meals do you take in a day?</qstnLit>
  </qstn>
  <sumStat type="vald">32570</sumStat>
  <sumStat type="invd">157452</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">90.0</sumStat>
  <sumStat type="mean">0.7260362296591956</sumStat>
  <sumStat type="stdev">6.007948160795388</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>46</catValu>
  </catgry>
  <catgry>
    <catValu>48</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>60</catValu>
  </catgry>
  <catgry>
    <catValu>63</catValu>
  </catgry>
  <catgry>
    <catValu>69</catValu>
  </catgry>
  <catgry>
    <catValu>72</catValu>
  </catgry>
  <catgry>
    <catValu>74</catValu>
  </catgry>
  <catgry>
    <catValu>75</catValu>
  </catgry>
  <catgry>
    <catValu>78</catValu>
  </catgry>
  <catgry>
    <catValu>80</catValu>
  </catgry>
  <catgry>
    <catValu>81</catValu>
  </catgry>
  <catgry>
    <catValu>82</catValu>
  </catgry>
  <catgry>
    <catValu>84</catValu>
  </catgry>
  <catgry>
    <catValu>85</catValu>
  </catgry>
  <catgry>
    <catValu>87</catValu>
  </catgry>
  <catgry>
    <catValu>90</catValu>
  </catgry>
</var>
<var ID="V73" name="B4_q12" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>No. of meals taken away from home free of cost  - from others</labl>
  <qstn>
    <qstnLit>If you or any member of the household take meals free of cost from others, then how many such meals do you take in a day?</qstnLit>
  </qstn>
  <sumStat type="vald">45363</sumStat>
  <sumStat type="invd">144659</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">90.0</sumStat>
  <sumStat type="mean">3.937592310914181</sumStat>
  <sumStat type="stdev">10.30749226126417</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>31</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>37</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>41</catValu>
  </catgry>
  <catgry>
    <catValu>42</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>46</catValu>
  </catgry>
  <catgry>
    <catValu>47</catValu>
  </catgry>
  <catgry>
    <catValu>48</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>51</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>55</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>57</catValu>
  </catgry>
  <catgry>
    <catValu>58</catValu>
  </catgry>
  <catgry>
    <catValu>60</catValu>
  </catgry>
  <catgry>
    <catValu>62</catValu>
  </catgry>
  <catgry>
    <catValu>63</catValu>
  </catgry>
  <catgry>
    <catValu>64</catValu>
  </catgry>
  <catgry>
    <catValu>66</catValu>
  </catgry>
  <catgry>
    <catValu>69</catValu>
  </catgry>
  <catgry>
    <catValu>70</catValu>
  </catgry>
  <catgry>
    <catValu>72</catValu>
  </catgry>
  <catgry>
    <catValu>75</catValu>
  </catgry>
  <catgry>
    <catValu>78</catValu>
  </catgry>
  <catgry>
    <catValu>80</catValu>
  </catgry>
  <catgry>
    <catValu>81</catValu>
  </catgry>
  <catgry>
    <catValu>84</catValu>
  </catgry>
  <catgry>
    <catValu>85</catValu>
  </catgry>
  <catgry>
    <catValu>86</catValu>
  </catgry>
  <catgry>
    <catValu>87</catValu>
  </catgry>
  <catgry>
    <catValu>88</catValu>
  </catgry>
  <catgry>
    <catValu>90</catValu>
  </catgry>
</var>
<var ID="V74" name="B4_q13" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>No. of meals taken away from home - on payment</labl>
  <qstn>
    <qstnLit>If you or any member of the household take meals away from home on payment, then how many such meals do you take?</qstnLit>
  </qstn>
  <sumStat type="vald">36406</sumStat>
  <sumStat type="invd">153616</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">90.0</sumStat>
  <sumStat type="mean">2.6879085864967314</sumStat>
  <sumStat type="stdev">11.040343813579272</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>31</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>37</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>42</catValu>
  </catgry>
  <catgry>
    <catValu>43</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>46</catValu>
  </catgry>
  <catgry>
    <catValu>48</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>51</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>55</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>57</catValu>
  </catgry>
  <catgry>
    <catValu>58</catValu>
  </catgry>
  <catgry>
    <catValu>60</catValu>
  </catgry>
  <catgry>
    <catValu>63</catValu>
  </catgry>
  <catgry>
    <catValu>64</catValu>
  </catgry>
  <catgry>
    <catValu>65</catValu>
  </catgry>
  <catgry>
    <catValu>66</catValu>
  </catgry>
  <catgry>
    <catValu>69</catValu>
  </catgry>
  <catgry>
    <catValu>70</catValu>
  </catgry>
  <catgry>
    <catValu>71</catValu>
  </catgry>
  <catgry>
    <catValu>72</catValu>
  </catgry>
  <catgry>
    <catValu>75</catValu>
  </catgry>
  <catgry>
    <catValu>78</catValu>
  </catgry>
  <catgry>
    <catValu>80</catValu>
  </catgry>
  <catgry>
    <catValu>81</catValu>
  </catgry>
  <catgry>
    <catValu>82</catValu>
  </catgry>
  <catgry>
    <catValu>84</catValu>
  </catgry>
  <catgry>
    <catValu>85</catValu>
  </catgry>
  <catgry>
    <catValu>86</catValu>
  </catgry>
  <catgry>
    <catValu>87</catValu>
  </catgry>
  <catgry>
    <catValu>90</catValu>
  </catgry>
</var>
<var ID="V75" name="B4_q14" files="F2" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Meals taken at home</labl>
  <qstn>
    <qstnLit>How many meals are taken at home in a day?</qstnLit>
  </qstn>
  <sumStat type="vald">189061</sumStat>
  <sumStat type="invd">961</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">90.0</sumStat>
  <sumStat type="mean">70.30536176154786</sumStat>
  <sumStat type="stdev">17.814557887648295</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>31</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>37</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>41</catValu>
  </catgry>
  <catgry>
    <catValu>42</catValu>
  </catgry>
  <catgry>
    <catValu>43</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>46</catValu>
  </catgry>
  <catgry>
    <catValu>47</catValu>
  </catgry>
  <catgry>
    <catValu>48</catValu>
  </catgry>
  <catgry>
    <catValu>49</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>51</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>53</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>55</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>57</catValu>
  </catgry>
  <catgry>
    <catValu>58</catValu>
  </catgry>
  <catgry>
    <catValu>59</catValu>
  </catgry>
  <catgry>
    <catValu>60</catValu>
  </catgry>
  <catgry>
    <catValu>61</catValu>
  </catgry>
  <catgry>
    <catValu>62</catValu>
  </catgry>
  <catgry>
    <catValu>63</catValu>
  </catgry>
  <catgry>
    <catValu>64</catValu>
  </catgry>
  <catgry>
    <catValu>65</catValu>
  </catgry>
  <catgry>
    <catValu>66</catValu>
  </catgry>
  <catgry>
    <catValu>67</catValu>
  </catgry>
  <catgry>
    <catValu>68</catValu>
  </catgry>
  <catgry>
    <catValu>69</catValu>
  </catgry>
  <catgry>
    <catValu>70</catValu>
  </catgry>
  <catgry>
    <catValu>71</catValu>
  </catgry>
  <catgry>
    <catValu>72</catValu>
  </catgry>
  <catgry>
    <catValu>73</catValu>
  </catgry>
  <catgry>
    <catValu>74</catValu>
  </catgry>
  <catgry>
    <catValu>75</catValu>
  </catgry>
  <catgry>
    <catValu>76</catValu>
  </catgry>
  <catgry>
    <catValu>77</catValu>
  </catgry>
  <catgry>
    <catValu>78</catValu>
  </catgry>
  <catgry>
    <catValu>79</catValu>
  </catgry>
  <catgry>
    <catValu>80</catValu>
  </catgry>
  <catgry>
    <catValu>81</catValu>
  </catgry>
  <catgry>
    <catValu>82</catValu>
  </catgry>
  <catgry>
    <catValu>83</catValu>
  </catgry>
  <catgry>
    <catValu>84</catValu>
  </catgry>
  <catgry>
    <catValu>85</catValu>
  </catgry>
  <catgry>
    <catValu>86</catValu>
  </catgry>
  <catgry>
    <catValu>87</catValu>
  </catgry>
  <catgry>
    <catValu>88</catValu>
  </catgry>
  <catgry>
    <catValu>89</catValu>
  </catgry>
  <catgry>
    <catValu>90</catValu>
  </catgry>
</var>
<var ID="V76" name="NSS" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V77" name="NSC" files="F2" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V78" name="MLT" files="F2" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10411.681912252265</sumStat>
  <sumStat type="stdev">22548.727886689103</sumStat>
</var>
<var ID="V79" name="WGT_SS" files="F2" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">104.11681912252267</sumStat>
  <sumStat type="stdev">225.48727886689102</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V80" name="WGT_SS_Combined" files="F2" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">190022</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">52.17442731183757</sumStat>
  <sumStat type="stdev">112.76689642733304</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V81" name="HHID2" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V82" name="CentreCodeRoundShift" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V83" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V84" name="Round" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V85" name="ScheduleNumber" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V86" name="Sample" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V87" name="Sector" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V88" name="St_Region" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V89" name="State" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V90" name="District" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V91" name="Stratum" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V92" name="SubStratum" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V93" name="SubRound" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V94" name="SubSample" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V95" name="FODSubRegion" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V96" name="SegmentNo" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V97" name="Stage2_Stratum" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V98" name="Hhold_no" files="F3" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V99" name="Level" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V100" name="B5_q1" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 5 Item Code</labl>
  <qstn>
    <qstnLit>Block 5 Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V101" name="B5_q3" files="F3" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Quantity</labl>
  <qstn>
    <qstnLit>How much quantity of the item was purchased by the household in the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald">1658376</sumStat>
  <sumStat type="invd">230798</sumStat>
  <sumStat type="min">0.001</sumStat>
  <sumStat type="max">37850.0</sumStat>
  <sumStat type="mean">80.23683784859846</sumStat>
  <sumStat type="stdev">267.81273113581017</sumStat>
</var>
<var ID="V102" name="B5_q4" files="F3" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the purchase of the item in the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.05</sumStat>
  <sumStat type="max">30795.75</sumStat>
  <sumStat type="mean">91.61520709050617</sumStat>
  <sumStat type="stdev">199.64765779809494</sumStat>
</var>
<var ID="V103" name="B5_q5" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Source Code</labl>
  <qstn>
    <qstnLit>What was the source of obtaining the item?</qstnLit>
  </qstn>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V104" name="NSS" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V105" name="NSC" files="F3" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V106" name="MLT" files="F3" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>MLT</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10118.873968242207</sumStat>
  <sumStat type="stdev">21888.13943653187</sumStat>
</var>
<var ID="V107" name="WGT_SS" files="F3" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">101.18873968242204</sumStat>
  <sumStat type="stdev">218.88139436531873</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V108" name="WGT_SS_Combined" files="F3" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">1889174</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">50.70838803410909</sumStat>
  <sumStat type="stdev">109.45876087175945</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V109" name="HHID" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V110" name="CentreCodeRoundShift" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V111" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V112" name="Round" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V113" name="ScheduleNumber" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V114" name="Sample" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V115" name="Sector" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V116" name="St_Region" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V117" name="State" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V118" name="District" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V119" name="Stratum" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V120" name="SubStratum" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V121" name="SubRound" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V122" name="SubSample" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V123" name="FODSubRegion" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V124" name="SegmentNo" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V125" name="Stage2_Stratum" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V126" name="Hhold_no" files="F4" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V127" name="Level" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V128" name="B6_q1" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 6  Item Code</labl>
  <qstn>
    <qstnLit>Block 6  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V129" name="B6_q3" files="F4" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Quantity</labl>
  <qstn>
    <qstnLit>How much quantity of the item was purchased by the household in the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald">152041</sumStat>
  <sumStat type="invd">49905</sumStat>
  <sumStat type="min">0.015</sumStat>
  <sumStat type="max">6525.0</sumStat>
  <sumStat type="mean">41.1825507988032</sumStat>
  <sumStat type="stdev">80.38410926460176</sumStat>
</var>
<var ID="V130" name="B6_q4" files="F4" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the purchase of the item in the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.5</sumStat>
  <sumStat type="max">10900.0</sumStat>
  <sumStat type="mean">166.4202499678132</sumStat>
  <sumStat type="stdev">227.20428009476578</sumStat>
</var>
<var ID="V131" name="B6_q5" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Source Code</labl>
  <qstn>
    <qstnLit>What was the source of obtaining the item?</qstnLit>
  </qstn>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V132" name="NSS" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V133" name="NSC" files="F4" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V134" name="MLT" files="F4" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>MLT</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10567.61507903103</sumStat>
  <sumStat type="stdev">22820.51199796836</sumStat>
</var>
<var ID="V135" name="WGT_SS" files="F4" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">105.67615079031027</sumStat>
  <sumStat type="stdev">228.2051199796836</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V136" name="WGT_SS_Combined" files="F4" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">201946</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">52.9571682714686</sumStat>
  <sumStat type="stdev">114.11882303019438</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V137" name="HHID" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V138" name="CentreCodeRoundShift" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V139" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V140" name="Round" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V141" name="ScheduleNumber" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V142" name="Sample" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V143" name="Sector" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V144" name="St_Region" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V145" name="State" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V146" name="District" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V147" name="Stratum" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V148" name="SubStratum" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V149" name="SubRound" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V150" name="SubSample" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V151" name="FODSubRegion" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V152" name="SegmentNo" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V153" name="Stage2_Stratum" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V154" name="Hhold_no" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V155" name="Level" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V156" name="B7_q1" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 7  Item Code</labl>
  <qstn>
    <qstnLit>Block 7  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V157" name="B7_q3" files="F5" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Quantity</labl>
  <qstn>
    <qstnLit>How much quantity of the clothing item was purchased by the household in the last 365 days?</qstnLit>
  </qstn>
  <sumStat type="vald">277627</sumStat>
  <sumStat type="invd">71223</sumStat>
  <sumStat type="min">0.001</sumStat>
  <sumStat type="max">27000.0</sumStat>
  <sumStat type="mean">15.435147889074237</sumStat>
  <sumStat type="stdev">222.95654641095965</sumStat>
</var>
<var ID="V158" name="B7_q4" files="F5" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the purchase of the clothing item in the last 365 days?</qstnLit>
  </qstn>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.27</sumStat>
  <sumStat type="max">61830.0</sumStat>
  <sumStat type="mean">747.1283860111797</sumStat>
  <sumStat type="stdev">1355.9223609852445</sumStat>
</var>
<var ID="V159" name="NSS" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V160" name="NSC" files="F5" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V161" name="MLT" files="F5" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10237.198128450624</sumStat>
  <sumStat type="stdev">22513.032023224972</sumStat>
</var>
<var ID="V162" name="WGT_SS" files="F5" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">102.37198128450629</sumStat>
  <sumStat type="stdev">225.13032023224972</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V163" name="WGT_SS_Combined" files="F5" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">348850</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">51.30261023663467</sumStat>
  <sumStat type="stdev">112.59722036036365</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V164" name="HHID" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V165" name="CentreCodeRoundShift" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V166" name="Vill_Blk_Slno" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V167" name="Round" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V168" name="ScheduleNumber" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V169" name="Sample" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V170" name="Sector" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V171" name="St_Region" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V172" name="State" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V173" name="District" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V174" name="Stratum" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V175" name="SubStratum" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V176" name="SubRound" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V177" name="SubSample" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V178" name="FODSubRegion" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V179" name="SegmentNo" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V180" name="Stage2_Stratum" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V181" name="Hhold_no" files="F6" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V182" name="Level" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V183" name="B8_q1" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 8  Item Code</labl>
  <qstn>
    <qstnLit>Block 8  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V184" name="B8_q3" files="F6" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="4"/>
  <labl>Number of pairs</labl>
  <qstn>
    <qstnLit>How many pairs of the footwear item were purchased by the household in the last 365 days?</qstnLit>
  </qstn>
  <sumStat type="vald">123065</sumStat>
  <sumStat type="invd">22</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">2000.0</sumStat>
  <sumStat type="mean">3.9583634664608134</sumStat>
  <sumStat type="stdev">9.68962137480449</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>26</catValu>
  </catgry>
  <catgry>
    <catValu>27</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>31</catValu>
  </catgry>
  <catgry>
    <catValu>32</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
  </catgry>
  <catgry>
    <catValu>34</catValu>
  </catgry>
  <catgry>
    <catValu>35</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>37</catValu>
  </catgry>
  <catgry>
    <catValu>38</catValu>
  </catgry>
  <catgry>
    <catValu>39</catValu>
  </catgry>
  <catgry>
    <catValu>40</catValu>
  </catgry>
  <catgry>
    <catValu>41</catValu>
  </catgry>
  <catgry>
    <catValu>42</catValu>
  </catgry>
  <catgry>
    <catValu>43</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>45</catValu>
  </catgry>
  <catgry>
    <catValu>49</catValu>
  </catgry>
  <catgry>
    <catValu>50</catValu>
  </catgry>
  <catgry>
    <catValu>52</catValu>
  </catgry>
  <catgry>
    <catValu>54</catValu>
  </catgry>
  <catgry>
    <catValu>56</catValu>
  </catgry>
  <catgry>
    <catValu>57</catValu>
  </catgry>
  <catgry>
    <catValu>59</catValu>
  </catgry>
  <catgry>
    <catValu>80</catValu>
  </catgry>
  <catgry>
    <catValu>200</catValu>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
  </catgry>
</var>
<var ID="V185" name="B8_q4" files="F6" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="8"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the purchase of the footwear item in the last 365 days?</qstnLit>
  </qstn>
  <sumStat type="vald">123085</sumStat>
  <sumStat type="invd">2</sumStat>
  <sumStat type="min">0.6</sumStat>
  <sumStat type="max">16000.0</sumStat>
  <sumStat type="mean">414.8602473087704</sumStat>
  <sumStat type="stdev">532.3707503334616</sumStat>
</var>
<var ID="V186" name="NSS" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V187" name="NSC" files="F6" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V188" name="MLT" files="F6" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>MLT</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">9617.16207341149</sumStat>
  <sumStat type="stdev">21635.86924402507</sumStat>
</var>
<var ID="V189" name="WGT_SS" files="F6" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">96.1716207341149</sumStat>
  <sumStat type="stdev">216.35869244025073</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V190" name="WGT_SS_Combined" files="F6" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">123087</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">48.19804299479231</sumStat>
  <sumStat type="stdev">108.19794847437593</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V191" name="HHID" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V192" name="CentreCodeRoundShift" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V193" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V194" name="Round" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V195" name="ScheduleNumber" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V196" name="Sample" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V197" name="Sector" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V198" name="St_Region" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V199" name="State" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V200" name="District" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V201" name="Stratum" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V202" name="SubStratum" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V203" name="SubRound" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V204" name="SubSample" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V205" name="FODSubRegion" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V206" name="SegmentNo" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V207" name="Stage2_Stratum" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V208" name="Hhold_no" files="F7" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V209" name="Level" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V210" name="B9_q1" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 9  Item Code</labl>
  <qstn>
    <qstnLit>Block 9  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V211" name="B9_q3" files="F7" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="4"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the item in the last 365 days?</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd">138669</sumStat>
  <sumStat type="min">&lt;NA&gt;</sumStat>
  <sumStat type="max">&lt;NA&gt;</sumStat>
  <sumStat type="mean">&lt;NA&gt;</sumStat>
  <sumStat type="stdev">&lt;NA&gt;</sumStat>
</var>
<var ID="V212" name="NSS" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V213" name="NSC" files="F7" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V214" name="MLT" files="F7" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">664216.0</sumStat>
  <sumStat type="mean">9173.210214251203</sumStat>
  <sumStat type="stdev">20709.293036799125</sumStat>
</var>
<var ID="V215" name="WGT_SS" files="F7" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">6642.16</sumStat>
  <sumStat type="mean">91.73210214251203</sumStat>
  <sumStat type="stdev">207.09293036799122</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V216" name="WGT_SS_Combined" files="F7" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">138669</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3321.08</sumStat>
  <sumStat type="mean">45.96495863999884</sumStat>
  <sumStat type="stdev">103.56563060104594</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V217" name="HHID" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V218" name="CentreCodeRoundShift" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V219" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V220" name="Round" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V221" name="ScheduleNumber" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V222" name="Sample" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V223" name="Sector" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V224" name="St_Region" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V225" name="State" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V226" name="District" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V227" name="Stratum" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V228" name="SubStratum" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V229" name="SubRound" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V230" name="SubSample" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V231" name="FODSubRegion" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V232" name="SegmentNo" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V233" name="Stage2_Stratum" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V234" name="Hhold_no" files="F8" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V235" name="Level" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V236" name="B10_q1" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 10  Item Code</labl>
  <qstn>
    <qstnLit>Block 10  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V237" name="B10_q3" files="F8" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="4"/>
  <labl>Value</labl>
  <qstn>
    <qstnLit>How much money was spent by the household on the item in the last 30 days?</qstnLit>
  </qstn>
  <sumStat type="vald"/>
  <sumStat type="invd">810313</sumStat>
  <sumStat type="min">&lt;NA&gt;</sumStat>
  <sumStat type="max">&lt;NA&gt;</sumStat>
  <sumStat type="mean">&lt;NA&gt;</sumStat>
  <sumStat type="stdev">&lt;NA&gt;</sumStat>
</var>
<var ID="V238" name="NSS" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V239" name="NSC" files="F8" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V240" name="MLT" files="F8" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>MLT</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">9587.717276151316</sumStat>
  <sumStat type="stdev">21265.11424031781</sumStat>
</var>
<var ID="V241" name="WGT_SS" files="F8" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">95.87717276151317</sumStat>
  <sumStat type="stdev">212.65114240317808</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V242" name="WGT_SS_Combined" files="F8" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">810313</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">48.04275973839739</sumStat>
  <sumStat type="stdev">106.3399233634912</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V243" name="HHID" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Key to identify a household</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V244" name="CentreCodeRoundShift" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V245" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V246" name="Round" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V247" name="ScheduleNumber" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V248" name="Sample" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V249" name="Sector" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V250" name="St_Region" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V251" name="State" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V252" name="District" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V253" name="Stratum" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V254" name="SubStratum" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V255" name="SubRound" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V256" name="SubSample" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V257" name="FODSubRegion" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V258" name="SegmentNo" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V259" name="Stage2_Stratum" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V260" name="Hhold_no" files="F9" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">4.0</sumStat>
  <sumStat type="mean">1.3307093726430645</sumStat>
  <sumStat type="stdev">0.5103231377497108</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
</var>
<var ID="V261" name="Level" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V262" name="B11_q1" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Block 11  Item Code</labl>
  <qstn>
    <qstnLit>Block 11  Item Code</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V263" name="B11_q3" files="F9" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="3"/>
  <labl>No. in use on the date of survey</labl>
  <qstn>
    <qstnLit>How many numbers of the item are being used by the household on the date of survey?</qstnLit>
  </qstn>
  <sumStat type="vald">276659</sumStat>
  <sumStat type="invd">166183</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">630.0</sumStat>
  <sumStat type="mean">1.7002302473442035</sumStat>
  <sumStat type="stdev">1.857359954485579</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>17</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>25</catValu>
  </catgry>
  <catgry>
    <catValu>28</catValu>
  </catgry>
  <catgry>
    <catValu>30</catValu>
  </catgry>
  <catgry>
    <catValu>630</catValu>
  </catgry>
</var>
<var ID="V264" name="B11_q4" files="F9" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>First hand purchase - number</labl>
  <qstn>
    <qstnLit>How many numbers of the item were first hand purchase?</qstnLit>
  </qstn>
  <sumStat type="vald">10341</sumStat>
  <sumStat type="invd">432501</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">20.0</sumStat>
  <sumStat type="mean">1.6808819263127357</sumStat>
  <sumStat type="stdev">1.0991868964599703</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>20</catValu>
  </catgry>
</var>
<var ID="V265" name="B11_q5" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>First hand purchase - whether hire purchased</labl>
  <qstn>
    <qstnLit>Whether the item was hire purchased?</qstnLit>
  </qstn>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V266" name="B11_q6" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="6"/>
  <labl>First hand purchase - value (in Rs.)</labl>
  <qstn>
    <qstnLit>How much did the household spend on the item of the first hand purchase?</qstnLit>
  </qstn>
  <sumStat type="vald">100910</sumStat>
  <sumStat type="invd">341932</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">750000.0</sumStat>
  <sumStat type="mean">1947.62648895055</sumStat>
  <sumStat type="stdev">13847.897547674766</sumStat>
</var>
<var ID="V267" name="B11_q7" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="6"/>
  <labl>Cost of raw materials &amp; services for construction &amp; repairs (in Rs.)</labl>
  <qstn>
    <qstnLit>How much was paid by the household towards the cost of raw materials &amp; services?</qstnLit>
  </qstn>
  <sumStat type="vald">136745</sumStat>
  <sumStat type="invd">306097</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">302255.0</sumStat>
  <sumStat type="mean">727.9499213865223</sumStat>
  <sumStat type="stdev">3233.815342660794</sumStat>
</var>
<var ID="V268" name="B11_q8" files="F9" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>Second Hand Purchase - Number</labl>
  <qstn>
    <qstnLit>How many numbers of the item were second hand purchase?</qstnLit>
  </qstn>
  <sumStat type="vald">419</sumStat>
  <sumStat type="invd">442423</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">4.0</sumStat>
  <sumStat type="mean">1.026252983293556</sumStat>
  <sumStat type="stdev">0.27974363342110703</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
</var>
<var ID="V269" name="B11_q9" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="6"/>
  <labl>Second Hand Purchase - Value in cash (in Rs.)</labl>
  <qstn>
    <qstnLit>How much did the household spend in cash on the item of the second hand purchase?</qstnLit>
  </qstn>
  <sumStat type="vald">1379</sumStat>
  <sumStat type="invd">441463</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">225000.0</sumStat>
  <sumStat type="mean">6031.88977519942</sumStat>
  <sumStat type="stdev">20705.917573303268</sumStat>
</var>
<var ID="V270" name="B11_q10" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="6"/>
  <labl>Total expenditure (in Rs.)</labl>
  <sumStat type="vald">211966</sumStat>
  <sumStat type="invd">230876</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">754850.0</sumStat>
  <sumStat type="mean">1436.062750629818</sumStat>
  <sumStat type="stdev">10224.335815680304</sumStat>
</var>
<var ID="V271" name="NSS" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V272" name="NSC" files="F9" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V273" name="MLT" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">8932.890365728636</sumStat>
  <sumStat type="stdev">20373.69544759653</sumStat>
</var>
<var ID="V274" name="WGT_SS" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">89.3289036572863</sumStat>
  <sumStat type="stdev">203.7369544759653</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V275" name="WGT_SS_Combined" files="F9" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">442842</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">44.76467395798047</sumStat>
  <sumStat type="stdev">101.88215968992102</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
<var ID="V276" name="HHID" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="9"/>
  <labl>Primary key - unique identifier for a household</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived for identifying  a household by combining serial no. of village / block, segment number, second stage stratum and sample household number.</codInstr>
</var>
<var ID="V277" name="CentreCodeRoundShift" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Centre code, Round, Shift</labl>
  <qstn>
    <qstnLit>Centre code, Round, Shift</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V278" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="5"/>
  <labl>Serial no of village / Block</labl>
  <qstn>
    <qstnLit>Serial no of village / Block</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.</txt>
</var>
<var ID="V279" name="Round" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Round</labl>
  <qstn>
    <qstnLit>Round</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS round number of this survey.</txt>
</var>
<var ID="V280" name="ScheduleNumber" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Schedule Number</labl>
  <qstn>
    <qstnLit>Schedule Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Indicates the NSS schedule number of this survey.</txt>
</var>
<var ID="V281" name="Sample" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sample</labl>
  <qstn>
    <qstnLit>Sample</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V282" name="Sector" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sector</labl>
  <qstn>
    <qstnLit>Sector</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Sector : A word used for the rural-urban demarcation.</txt>
</var>
<var ID="V283" name="St_Region" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>State - region</labl>
  <qstn>
    <qstnLit>State - region</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.</txt>
</var>
<var ID="V284" name="State" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>State</labl>
  <qstn>
    <qstnLit>State</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>This refers to the following states of India: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Goa, Gujarat, Haryana, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram,Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Andaman &amp; Nicobar, Chandigarh, Dadra &amp; Nagar Haveli, Daman &amp; Diu, Delhi, Lakshadweep, Pondicheri, Chhattisgarh, Jharkhand and Uttaranchal.</txt>
  <codInstr>This variable has been derived from the variable "State - region" to enable the users to easily access state wise data.</codInstr>
</var>
<var ID="V285" name="District" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>District</labl>
  <qstn>
    <qstnLit>District</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V286" name="St_District" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>Unique identifier for a district</labl>
  <qstn>
    <qstnLit>Unique identifier for a district</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <codInstr>This variable has been derived by concatenating the variables "State" and "District" to enable the users to easily access district wise data.</codInstr>
</var>
<var ID="V287" name="Stratum" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Stratum Number</labl>
  <qstn>
    <qstnLit>Stratum Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Within each district of a State/ UT, two basic strata were 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, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district was considered as another basic stratum.</txt>
</var>
<var ID="V288" name="SubStratum" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Sub-Stratum</labl>
  <qstn>
    <qstnLit>Sub-Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Allocation to sub-strata

Rural sector: 
462 FSUs of sub-stratum 1 were allocated to the districts where these FSUs were located. For each sub-stratum 2, the maximum allocation was 4. A set of 856 FSUs in the Central sample and 796 samples in the State sample were selected at all-India level for sub-stratum 2. The minimum allocation for sub-stratum 3 and above was 2.

Urban sector: 
For the 27 million-plus cities in the urban sector, stratum allocations were divided among the sub-strata in proportion to number of non agricultural workers in the unorganised sector as per EC '98. For other towns, stratum allocation was divided among the sub-strata in proportion to number of FSUs in the sub-strata with double weightage to sub-stratum 1. The minimum sub-stratum allocation was 2.

For details of sub-stratification see the manual "Introduction Concepts, Definitions and Procedures" attached in external resources.</txt>
</var>
<var ID="V289" name="SubRound" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub-Round</labl>
  <qstn>
    <qstnLit>Sub-Round</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.</txt>
</var>
<var ID="V290" name="SubSample" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Sub - sample</labl>
  <qstn>
    <qstnLit>Sub - sample</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.</txt>
</var>
<var ID="V291" name="FODSubRegion" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="4"/>
  <labl>FOD Sub-Region</labl>
  <qstn>
    <qstnLit>FOD Sub-Region</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V292" name="SegmentNo" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Segment Number</labl>
  <qstn>
    <qstnLit>Segment Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V293" name="Stage2_Stratum" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Second Stage Stratum</labl>
  <qstn>
    <qstnLit>Second Stage Stratum</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>Formation of second-stage strata and allocation of households: 
All the households listed in the selected village/ block/ segments were stratified into two second-stage strata (SSS) on the basis of land possessed by households in rural areas and household MPCE in urban areas, as follows.

For the rural sector, a cut-off point 'X' (in hectares) was determined at State/UT level from NSS 48th round data in such a way that the top 20% of rural households in the State/UT, according to the estimates from that round, possessed land equal to or more than X. All the listed households possessing land less than X were placed in SSS 1 and the rest in SSS 2.

Similarly, in the urban sector, a cut-off point 'A' (in Rs.) was determined at State/ UT level from NSS 55th round data for each NSS region in such a way that the top 20% of the households, according to the estimates from that round, had MPCE
equal to or more than 'A'. All the listed households with MPCE less than 'A' were placed in SSS 1 and the rest in SSS 2.</txt>
</var>
<var ID="V294" name="Hhold_no" files="F10" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="1"/>
  <labl>Sample Household Number</labl>
  <qstn>
    <qstnLit>Sample Household Number</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">1.0</sumStat>
  <sumStat type="max">4.0</sumStat>
  <sumStat type="mean">1.3281265848463333</sumStat>
  <sumStat type="stdev">0.5217724907157018</sumStat>
  <catgry>
    <catValu>1</catValu>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="max"/>
  </catgry>
</var>
<var ID="V295" name="Lvl" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>Level</labl>
  <qstn>
    <qstnLit>Level</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V296" name="Informant_Slno" files="F10" intrvl="discrete">
  <varFormat type="numeric"/>
  <location width="2"/>
  <labl>Serial No. of informant</labl>
  <qstn>
    <qstnLit>Serial No. of informant</qstnLit>
  </qstn>
  <sumStat type="vald">39405</sumStat>
  <sumStat type="invd">31</sumStat>
  <sumStat type="min">0.0</sumStat>
  <sumStat type="max">99.0</sumStat>
  <sumStat type="mean">1.8711838599162542</sumStat>
  <sumStat type="stdev">3.812775679437601</sumStat>
  <catgry>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <catStat type="min"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <catStat type="max"/>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <catStat type="mean"/>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <catStat type="stdev"/>
  </catgry>
  <catgry>
    <catValu>6</catValu>
  </catgry>
  <catgry>
    <catValu>7</catValu>
  </catgry>
  <catgry>
    <catValu>8</catValu>
  </catgry>
  <catgry>
    <catValu>9</catValu>
  </catgry>
  <catgry>
    <catValu>10</catValu>
  </catgry>
  <catgry>
    <catValu>11</catValu>
  </catgry>
  <catgry>
    <catValu>12</catValu>
  </catgry>
  <catgry>
    <catValu>13</catValu>
  </catgry>
  <catgry>
    <catValu>14</catValu>
  </catgry>
  <catgry>
    <catValu>15</catValu>
  </catgry>
  <catgry>
    <catValu>16</catValu>
  </catgry>
  <catgry>
    <catValu>18</catValu>
  </catgry>
  <catgry>
    <catValu>19</catValu>
  </catgry>
  <catgry>
    <catValu>21</catValu>
  </catgry>
  <catgry>
    <catValu>22</catValu>
  </catgry>
  <catgry>
    <catValu>23</catValu>
  </catgry>
  <catgry>
    <catValu>24</catValu>
  </catgry>
  <catgry>
    <catValu>29</catValu>
  </catgry>
  <catgry>
    <catValu>36</catValu>
  </catgry>
  <catgry>
    <catValu>44</catValu>
  </catgry>
  <catgry>
    <catValu>48</catValu>
  </catgry>
  <catgry>
    <catValu>51</catValu>
  </catgry>
  <catgry>
    <catValu>99</catValu>
  </catgry>
</var>
<var ID="V297" name="Resp_Code" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Response Code</labl>
  <qstn>
    <qstnLit>Response Code</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The entry against this item has been made after collecting all the required information for all the items in the schedule.  The entry has been in code on the basis of the impression formed by the investigator regarding overall quality of response of the informant and the informant's perception about the schedule.</txt>
</var>
<var ID="V298" name="Survey_Code" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Survey Code</labl>
  <qstn>
    <qstnLit>Survey Code</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.  Code 1 has been recorded when originally selected household is surveyed and code 2 has been recorded when a substitute household is surveyed.  If neither the originally selected household nor a substitute household could be surveyed, i.e. if the sample household is a casualty, code 3 has been recorded.</txt>
</var>
<var ID="V299" name="Substn_Code" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="1"/>
  <labl>Substitution Code</labl>
  <qstn>
    <qstnLit>Substitution Code</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
  <txt>If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.</txt>
</var>
<var ID="V300" name="DateOfSurvey" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="6"/>
  <labl>Date of Survey</labl>
  <qstn>
    <qstnLit>Date of Survey</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V301" name="DateOfDespatch" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="6"/>
  <labl>Date of Despatch</labl>
  <qstn>
    <qstnLit>Date of Despatch</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V302" name="TimeToCanvass" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>Time to canvass (mins.)</labl>
  <qstn>
    <qstnLit>Time to canvass (mins.)</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V303" name="NSS" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="2"/>
  <labl>NSS</labl>
  <qstn>
    <qstnLit>NSS</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V304" name="NSC" files="F10" intrvl="discrete">
  <varFormat type="character"/>
  <location width="3"/>
  <labl>NSC</labl>
  <qstn>
    <qstnLit>NSC</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">None</sumStat>
  <sumStat type="max">None</sumStat>
  <sumStat type="mean">None</sumStat>
  <sumStat type="stdev">None</sumStat>
</var>
<var ID="V305" name="MLT" files="F10" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="9"/>
  <labl>Multiplier</labl>
  <qstn>
    <qstnLit>Multiplier</qstnLit>
  </qstn>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.51</sumStat>
  <sumStat type="max">703464.23</sumStat>
  <sumStat type="mean">10561.060868242215</sumStat>
  <sumStat type="stdev">22867.154224384918</sumStat>
</var>
<var ID="V306" name="WGT_SS" files="F10" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Sub-sample</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.0051</sumStat>
  <sumStat type="max">7034.6422999999995</sumStat>
  <sumStat type="mean">105.61060868242215</sumStat>
  <sumStat type="stdev">228.6715422438492</sumStat>
  <codInstr>For generating sub sample estimates, this weight should be applied. It has been calculated as follows:
WGT_SS= MLT/100</codInstr>
</var>
<var ID="V307" name="WGT_SS_Combined" files="F10" intrvl="contin">
  <varFormat type="numeric"/>
  <location width="7"/>
  <labl>Multiplier - Combined</labl>
  <sumStat type="vald">39436</sumStat>
  <sumStat type="invd"/>
  <sumStat type="min">0.00255</sumStat>
  <sumStat type="max">3517.3211499999998</sumStat>
  <sumStat type="mean">52.92879977305</sumStat>
  <sumStat type="stdev">114.35705053720274</sumStat>
  <codInstr>For generating sub sample combined estimates, this weight should be applied. It has been calculated as follows:

WGT_SS_Combined = MLT/100, if NSS=NSC

otherwise

WGT_SS_Combined = MLT/200</codInstr>
</var>
</dataDscr></codeBook>
