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    Home / Central Data Catalog / DDI-IND-NSSO-66-SCHEDULE-1.0T1 / variable [V532]
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
220665
Downloads
21366
  • 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: Expenditure on education and medical (institutional) goods and services

Overview

Valid: 362098
Invalid: 0
Type: Discrete
Start: 27
End: 29
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
011 Mountainous 3137
0.9%
012 Outer Hills 1276
0.4%
013 Jhelam Valley 7520
2.1%
014 Ladakh 0
0%
021 Central 3412
0.9%
022 Trans Himalayan & Southern 3018
0.8%
031 Northern 4639
1.3%
032 Southern 6199
1.7%
041 Chandigarh 1028
0.3%
051 Uttaranchal 6303
1.7%
061 Eastern 6704
1.9%
062 Western 3787
1%
071 Delhi 3029
0.8%
081 Western 2615
0.7%
082 North-Eastern 4939
1.4%
083 Southern 1760
0.5%
084 South-Eastern 2034
0.6%
085 Northern 2902
0.8%
091 Northern Upper Ganga Plains 4829
1.3%
092 Central 4187
1.2%
093 Eastern 11949
3.3%
094 Southern 2627
0.7%
095 Southern Upper Ganga Plains 7565
2.1%
101 Northern 8403
2.3%
102 Central 6184
1.7%
111 Sikkim 2591
0.7%
121 Arunachal Pradesh 6363
1.8%
131 Nagaland 4797
1.3%
141 Plains 10167
2.8%
142 Hills 2994
0.8%
151 Mizoram 6181
1.7%
161 Tripura 7869
2.2%
171 Meghalaya 6175
1.7%
181 Plains Eastern 4477
1.2%
182 Plains Western 4583
1.3%
183 Cachar Plain 2138
0.6%
184 Central Brahmputra Plains 3554
1%
191 Himalayan 2320
0.6%
192 Eastern Plains 6047
1.7%
193 Southern Plains 6200
1.7%
194 Central Plains 4844
1.3%
195 Western Plains 3564
1%
201 Rachi Plateau 4235
1.2%
202 Hazaribagh Plateau 4835
1.3%
211 Coastal 4423
1.2%
212 Southern 3645
1%
213 Northern 3379
0.9%
221 Northern Chattishgarh 1134
0.3%
222 Mahanadi Basin 5513
1.5%
223 Southern Chhattishgarh 595
0.2%
231 Vindhya 2890
0.8%
232 Central 2348
0.6%
233 Malwa 4771
1.3%
234 South 2678
0.7%
235 South Western 1927
0.5%
236 Northern 2465
0.7%
241 South Eastern 4548
1.3%
242 Plains Northern 3340
0.9%
243 Dry areas 686
0.2%
244 Kachchh 322
0.1%
245 Saurashtra 3317
0.9%
251 Daman & Diu 450
0.1%
261 Dadra & Nagar Haveli 460
0.1%
271 Coastal 8008
2.2%
272 Inland Western 8053
2.2%
273 Inland Northern 3376
0.9%
274 Inland Central 5341
1.5%
275 Inland Eastern 5016
1.4%
276 Eastern 1408
0.4%
281 Costal Northern 3874
1.1%
282 Costal Southern 3375
0.9%
283 Inland North Western 5586
1.5%
284 Inland North Eastern 3361
0.9%
285 Inland Southern 3327
0.9%
291 Coastal & Ghats 1154
0.3%
292 Inland Eastern 1467
0.4%
293 Inland Southern 4581
1.3%
294 Inland Northern 5500
1.5%
301 Goa 1820
0.5%
311 Lakshadweep 593
0.2%
321 Northern 8396
2.3%
322 Southern 12314
3.4%
331 Coastal Northern 6142
1.7%
332 Coastal 3236
0.9%
333 Southern 4815
1.3%
334 Inland 4925
1.4%
341 Pondicherry 1864
0.5%
351 Andaman & Nicobar Islands 1695
0.5%
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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