India - Household Consumer Expenditure: 66th Round, Schedule 1.0_T1, July 2009 - June 2010 (Type-1)
| Reference ID | DDI-IND-NSSO-66-SCHEDULE-1.0T1 |
| Year | 2009 - 2010 |
| Country | India |
| Producer(s) | National Sample Survey Office,NSSO |
| Sponsor(s) | Ministry of Statistics & Programme Implementation, Govenment of Indis - MOSPI - |
| Collection(s) | |
| Metadata |
Documentation in PDF
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Created on
Aug 04, 2016
Last modified
Sep 02, 2016
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- Identification of Sa
mple Household - Household Characteri
stics - Demographic and othe
r particulars of hou
sehold members - Consumption of cerea
ls, pulses, milk and
milk products, suga
r and salt during th
e last 30 days - Consumption of cloth
ing, bedding and foo
twear during last 30
and 365 days - Expenditure on educa
tion and medical (in
stitutional) goods a
nd services - Expenditure on misce
llaneous goods and s
ervices including me
dical (non-instituti
onal), rents and tax
es during the last 3
0 days - Expenditure for purc
hase and constructio
n (including repair
and maintenance) of
durable goods for do
mestic use - Summary of comsumer
expenditure
Variable Groups
Region
(Region)
File: Demographic and other particulars of household members
File: Demographic and other particulars of household members
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 468551 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | Mountainous | 3721 | |
| 012 | Outer Hills | 1508 | |
| 013 | Jhelam Valley | 9288 | |
| 014 | Ladakh | 0 | |
| 021 | Central | 4510 | |
| 022 | Trans Himalayan & Southern | 4345 | |
| 031 | Northern | 6531 | |
| 032 | Southern | 8251 | |
| 041 | Chandigarh | 1129 | |
| 051 | Uttaranchal | 8377 | |
| 061 | Eastern | 8539 | |
| 062 | Western | 4605 | |
| 071 | Delhi | 3309 | |
| 081 | Western | 4827 | |
| 082 | North-Eastern | 7401 | |
| 083 | Southern | 2300 | |
| 084 | South-Eastern | 2514 | |
| 085 | Northern | 4595 | |
| 091 | Northern Upper Ganga Plains | 8101 | |
| 092 | Central | 6906 | |
| 093 | Eastern | 20198 | |
| 094 | Southern | 3678 | |
| 095 | Southern Upper Ganga Plains | 11855 | |
| 101 | Northern | 13998 | |
| 102 | Central | 9762 | |
| 111 | Sikkim | 3023 | |
| 121 | Arunachal Pradesh | 7914 | |
| 131 | Nagaland | 5107 | |
| 141 | Plains | 9286 | |
| 142 | Hills | 3902 | |
| 151 | Mizoram | 7498 | |
| 161 | Tripura | 7659 | |
| 171 | Meghalaya | 6499 | |
| 181 | Plains Eastern | 4248 | |
| 182 | Plains Western | 5674 | |
| 183 | Cachar Plain | 3180 | |
| 184 | Central Brahmputra Plains | 4140 | |
| 191 | Himalayan | 2603 | |
| 192 | Eastern Plains | 6440 | |
| 193 | Southern Plains | 6437 | |
| 194 | Central Plains | 5547 | |
| 195 | Western Plains | 4672 | |
| 201 | Rachi Plateau | 5986 | |
| 202 | Hazaribagh Plateau | 7582 | |
| 211 | Coastal | 6686 | |
| 212 | Southern | 5982 | |
| 213 | Northern | 5095 | |
| 221 | Northern Chattishgarh | 1288 | |
| 222 | Mahanadi Basin | 7615 | |
| 223 | Southern Chhattishgarh | 1584 | |
| 231 | Vindhya | 3966 | |
| 232 | Central | 3384 | |
| 233 | Malwa | 5732 | |
| 234 | South | 4032 | |
| 235 | South Western | 3267 | |
| 236 | Northern | 3412 | |
| 241 | South Eastern | 5920 | |
| 242 | Plains Northern | 4195 | |
| 243 | Dry areas | 1059 | |
| 244 | Kachchh | 480 | |
| 245 | Saurashtra | 4589 | |
| 251 | Daman & Diu | 588 | |
| 261 | Dadra & Nagar Haveli | 1006 | |
| 271 | Coastal | 7720 | |
| 272 | Inland Western | 8811 | |
| 273 | Inland Northern | 4707 | |
| 274 | Inland Central | 6707 | |
| 275 | Inland Eastern | 6222 | |
| 276 | Eastern | 2062 | |
| 281 | Costal Northern | 5528 | |
| 282 | Costal Southern | 4449 | |
| 283 | Inland North Western | 7637 | |
| 284 | Inland North Eastern | 3938 | |
| 285 | Inland Southern | 5154 | |
| 291 | Coastal & Ghats | 1539 | |
| 292 | Inland Eastern | 1959 | |
| 293 | Inland Southern | 5936 | |
| 294 | Inland Northern | 8664 | |
| 301 | Goa | 1902 | |
| 311 | Lakshadweep | 1053 | |
| 321 | Northern | 8520 | |
| 322 | Southern | 9796 | |
| 331 | Coastal Northern | 7620 | |
| 332 | Coastal | 4489 | |
| 333 | Southern | 6540 | |
| 334 | Inland | 5579 | |
| 341 | Pondicherry | 2246 | |
| 351 | Andaman & Nicobar Islands | 2248 |
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.



Documentation in PDF