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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [V305]
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
219315
Downloads
21322
  • 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: Identification of Sample Household

Overview

Valid: 100855
Invalid: 0
Type: Discrete
Start: 27
End: 29
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Mountainous 799
0.8%
012 Outer Hills 312
0.3%
013 Jhelam Valley 1602
1.6%
014 Ladakh 0
0%
021 Central 1054
1%
022 Trans Himalayan & Southern 987
1%
031 Northern 1398
1.4%
032 Southern 1717
1.7%
041 Chandigarh 305
0.3%
051 Uttaranchal 1779
1.8%
061 Eastern 1692
1.7%
062 Western 928
0.9%
071 Delhi 901
0.9%
081 Western 864
0.9%
082 North-Eastern 1394
1.4%
083 Southern 480
0.5%
084 South-Eastern 544
0.5%
085 Northern 854
0.8%
091 Northern Upper Ganga Plains 1406
1.4%
092 Central 1344
1.3%
093 Eastern 3406
3.4%
094 Southern 704
0.7%
095 Southern Upper Ganga Plains 2133
2.1%
101 Northern 2688
2.7%
102 Central 1883
1.9%
111 Sikkim 768
0.8%
121 Arunachal Pradesh 1641
1.6%
131 Nagaland 1024
1%
141 Plains 1886
1.9%
142 Hills 672
0.7%
151 Mizoram 1528
1.5%
161 Tripura 1856
1.8%
171 Meghalaya 1272
1.3%
181 Plains Eastern 864
0.9%
182 Plains Western 1208
1.2%
183 Cachar Plain 608
0.6%
184 Central Brahmputra Plains 768
0.8%
191 Himalayan 608
0.6%
192 Eastern Plains 1568
1.6%
193 Southern Plains 1662
1.6%
194 Central Plains 1344
1.3%
195 Western Plains 1144
1.1%
201 Rachi Plateau 1211
1.2%
202 Hazaribagh Plateau 1536
1.5%
211 Coastal 1407
1.4%
212 Southern 1408
1.4%
213 Northern 1215
1.2%
221 Northern Chattishgarh 288
0.3%
222 Mahanadi Basin 1624
1.6%
223 Southern Chhattishgarh 320
0.3%
231 Vindhya 798
0.8%
232 Central 668
0.7%
233 Malwa 1099
1.1%
234 South 856
0.8%
235 South Western 604
0.6%
236 Northern 672
0.7%
241 South Eastern 1234
1.2%
242 Plains Northern 912
0.9%
243 Dry areas 223
0.2%
244 Kachchh 95
0.1%
245 Saurashtra 960
1%
251 Daman & Diu 128
0.1%
261 Dadra & Nagar Haveli 192
0.2%
271 Coastal 1926
1.9%
272 Inland Western 1945
1.9%
273 Inland Northern 959
1%
274 Inland Central 1344
1.3%
275 Inland Eastern 1341
1.3%
276 Eastern 480
0.5%
281 Costal Northern 1504
1.5%
282 Costal Southern 1248
1.2%
283 Inland North Western 1844
1.8%
284 Inland North Eastern 1056
1%
285 Inland Southern 1240
1.2%
291 Coastal & Ghats 383
0.4%
292 Inland Eastern 464
0.5%
293 Inland Southern 1403
1.4%
294 Inland Northern 1820
1.8%
301 Goa 444
0.4%
311 Lakshadweep 183
0.2%
321 Northern 1879
1.9%
322 Southern 2573
2.6%
331 Coastal Northern 1982
2%
332 Coastal 1248
1.2%
333 Southern 1784
1.8%
334 Inland 1624
1.6%
341 Pondicherry 576
0.6%
351 Andaman & Nicobar Islands 560
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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