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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [F23]
central

Household Consumer Expenditure Type-1, July 2009 - June 2010
NSS 66th Round

India, 2009 - 2010
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Reference ID
DDI-IND-NSSO-66-SCHEDULE-1.0T1
Producer(s)
National Sample Survey Office,NSSO
Collections
Household Consumption Expenditure
Metadata
DDI/XML JSON
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
219374
Downloads
21323
  • Study Description
  • Data Dictionary
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  • Data files
  • Identification
    of Sample
    Household
  • Household
    Characteristics
  • Demographic and
    other
    particulars of
    household
    members
  • Consumption of
    cereals,
    pulses, milk
    and milk
    products, sugar
    and salt during
    the last 30
    days
  • Summary of
    comsumer
    expenditure
  • Consumption of
    clothing,
    bedding and
    footwear during
    last 30 and
    365 days
  • Expenditure on
    education and
    medical
    (institutional)
    goods and
    services
  • Expenditure for
    purchase and
    construction
    (including
    repair and
    maintenance) of
    durable goods
    for domestic
    use
  • Expenditure on
    miscellaneous
    goods and
    services
    including
    medical
    (non-institutional),
    rents and taxes
    during the last
    30 days

Region (Region)

Data file: Consumption of clothing, bedding and footwear during last 30 and 365 days

Overview

Valid: 1210249
Invalid: 0
Type: Discrete
Start: 27
End: 29
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Mountainous 10164
0.8%
012 Outer Hills 3982
0.3%
013 Jhelam Valley 19280
1.6%
014 Ladakh 0
0%
021 Central 12732
1.1%
022 Trans Himalayan & Southern 11713
1%
031 Northern 17215
1.4%
032 Southern 21367
1.8%
041 Chandigarh 3477
0.3%
051 Uttaranchal 22321
1.8%
061 Eastern 22256
1.8%
062 Western 12089
1%
071 Delhi 10653
0.9%
081 Western 11711
1%
082 North-Eastern 17893
1.5%
083 Southern 5273
0.4%
084 South-Eastern 6870
0.6%
085 Northern 11251
0.9%
091 Northern Upper Ganga Plains 18878
1.6%
092 Central 15551
1.3%
093 Eastern 41800
3.5%
094 Southern 9400
0.8%
095 Southern Upper Ganga Plains 30132
2.5%
101 Northern 35942
3%
102 Central 23032
1.9%
111 Sikkim 11325
0.9%
121 Arunachal Pradesh 17631
1.5%
131 Nagaland 12610
1%
141 Plains 21804
1.8%
142 Hills 7687
0.6%
151 Mizoram 17227
1.4%
161 Tripura 23253
1.9%
171 Meghalaya 18102
1.5%
181 Plains Eastern 12004
1%
182 Plains Western 14491
1.2%
183 Cachar Plain 6360
0.5%
184 Central Brahmputra Plains 11512
1%
191 Himalayan 7737
0.6%
192 Eastern Plains 17356
1.4%
193 Southern Plains 18307
1.5%
194 Central Plains 15826
1.3%
195 Western Plains 13153
1.1%
201 Rachi Plateau 15593
1.3%
202 Hazaribagh Plateau 20058
1.7%
211 Coastal 15657
1.3%
212 Southern 15191
1.3%
213 Northern 13339
1.1%
221 Northern Chattishgarh 3729
0.3%
222 Mahanadi Basin 20755
1.7%
223 Southern Chhattishgarh 3889
0.3%
231 Vindhya 10074
0.8%
232 Central 7775
0.6%
233 Malwa 13845
1.1%
234 South 10362
0.9%
235 South Western 6833
0.6%
236 Northern 8887
0.7%
241 South Eastern 14644
1.2%
242 Plains Northern 11954
1%
243 Dry areas 3279
0.3%
244 Kachchh 1259
0.1%
245 Saurashtra 12085
1%
251 Daman & Diu 1760
0.1%
261 Dadra & Nagar Haveli 2244
0.2%
271 Coastal 21798
1.8%
272 Inland Western 22831
1.9%
273 Inland Northern 11218
0.9%
274 Inland Central 15958
1.3%
275 Inland Eastern 15367
1.3%
276 Eastern 5658
0.5%
281 Costal Northern 15454
1.3%
282 Costal Southern 13171
1.1%
283 Inland North Western 20482
1.7%
284 Inland North Eastern 11113
0.9%
285 Inland Southern 13150
1.1%
291 Coastal & Ghats 4332
0.4%
292 Inland Eastern 5526
0.5%
293 Inland Southern 16116
1.3%
294 Inland Northern 19837
1.6%
301 Goa 5677
0.5%
311 Lakshadweep 2065
0.2%
321 Northern 22272
1.8%
322 Southern 27608
2.3%
331 Coastal Northern 20593
1.7%
332 Coastal 13502
1.1%
333 Southern 20346
1.7%
334 Inland 17551
1.5%
341 Pondicherry 7204
0.6%
351 Andaman & Nicobar Islands 6841
0.6%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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