India - Household Consumer Expenditure: 66th Round, Schedule 1.0_T2, July 2009 - June 2010 (Type-2)
| Reference ID | DDI-IND-NSSO-66-SCHEDULE-1.0T2 |
| 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 |
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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,edibl
e oil, egg, fish and
meat, vegetables, f
ruits, spices, bever
ages and processed f
ood and pan, tobacco
, intoxicants,fuel a
nd light during last
30 or 7 days - Consumption of cloth
ing, bedding and foo
twear during last 36
5 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: Summary of comsumer expenditure
File: Summary of comsumer expenditure
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 3173462 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | Mountainous | 25185 | |
| 012 | Outer Hills | 9786 | |
| 013 | Jhelam Valley | 52825 | |
| 014 | Ladakh | 0 | |
| 021 | Central | 32354 | |
| 022 | Trans Himalayan & Southern | 29857 | |
| 031 | Northern | 43127 | |
| 032 | Southern | 52428 | |
| 041 | Chandigarh | 9664 | |
| 051 | Uttaranchal | 55238 | |
| 061 | Eastern | 52310 | |
| 062 | Western | 28602 | |
| 071 | Delhi | 26325 | |
| 081 | Western | 26352 | |
| 082 | North-Eastern | 42222 | |
| 083 | Southern | 14477 | |
| 084 | South-Eastern | 16915 | |
| 085 | Northern | 25703 | |
| 091 | Northern Upper Ganga Plains | 43238 | |
| 092 | Central | 41263 | |
| 093 | Eastern | 104414 | |
| 094 | Southern | 21925 | |
| 095 | Southern Upper Ganga Plains | 66537 | |
| 101 | Northern | 83444 | |
| 102 | Central | 56140 | |
| 111 | Sikkim | 23850 | |
| 121 | Arunachal Pradesh | 50268 | |
| 131 | Nagaland | 33379 | |
| 141 | Plains | 60523 | |
| 142 | Hills | 20674 | |
| 151 | Mizoram | 51602 | |
| 161 | Tripura | 59345 | |
| 171 | Meghalaya | 41509 | |
| 181 | Plains Eastern | 29290 | |
| 182 | Plains Western | 38133 | |
| 183 | Cachar Plain | 19679 | |
| 184 | Central Brahmputra Plains | 25728 | |
| 191 | Himalayan | 20195 | |
| 192 | Eastern Plains | 51791 | |
| 193 | Southern Plains | 52465 | |
| 194 | Central Plains | 43357 | |
| 195 | Western Plains | 35774 | |
| 201 | Rachi Plateau | 35980 | |
| 202 | Hazaribagh Plateau | 46477 | |
| 211 | Coastal | 43512 | |
| 212 | Southern | 41666 | |
| 213 | Northern | 36231 | |
| 221 | Northern Chattishgarh | 8843 | |
| 222 | Mahanadi Basin | 48810 | |
| 223 | Southern Chhattishgarh | 9861 | |
| 231 | Vindhya | 25603 | |
| 232 | Central | 20841 | |
| 233 | Malwa | 35599 | |
| 234 | South | 26714 | |
| 235 | South Western | 18418 | |
| 236 | Northern | 21239 | |
| 241 | South Eastern | 38556 | |
| 242 | Plains Northern | 28547 | |
| 243 | Dry areas | 6743 | |
| 244 | Kachchh | 2972 | |
| 245 | Saurashtra | 30787 | |
| 251 | Daman & Diu | 4250 | |
| 261 | Dadra & Nagar Haveli | 6210 | |
| 271 | Coastal | 62382 | |
| 272 | Inland Western | 64617 | |
| 273 | Inland Northern | 31557 | |
| 274 | Inland Central | 44512 | |
| 275 | Inland Eastern | 44946 | |
| 276 | Eastern | 15929 | |
| 281 | Costal Northern | 46310 | |
| 282 | Costal Southern | 39761 | |
| 283 | Inland North Western | 57777 | |
| 284 | Inland North Eastern | 32580 | |
| 285 | Inland Southern | 38992 | |
| 291 | Coastal & Ghats | 12128 | |
| 292 | Inland Eastern | 14833 | |
| 293 | Inland Southern | 44842 | |
| 294 | Inland Northern | 56966 | |
| 301 | Goa | 15179 | |
| 311 | Lakshadweep | 5633 | |
| 321 | Northern | 60301 | |
| 322 | Southern | 84787 | |
| 331 | Coastal Northern | 61702 | |
| 332 | Coastal | 39189 | |
| 333 | Southern | 56512 | |
| 334 | Inland | 50368 | |
| 341 | Pondicherry | 18347 | |
| 351 | Andaman & Nicobar Islands | 17560 |
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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