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: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days
File: Expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes during the last 30 days
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 2145291 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | Mountainous | 17592 | |
| 012 | Outer Hills | 6302 | |
| 013 | Jhelam Valley | 36038 | |
| 014 | Ladakh | 0 | |
| 021 | Central | 22595 | |
| 022 | Trans Himalayan & Southern | 18622 | |
| 031 | Northern | 30208 | |
| 032 | Southern | 36207 | |
| 041 | Chandigarh | 7339 | |
| 051 | Uttaranchal | 34093 | |
| 061 | Eastern | 36432 | |
| 062 | Western | 20023 | |
| 071 | Delhi | 21980 | |
| 081 | Western | 17585 | |
| 082 | North-Eastern | 27552 | |
| 083 | Southern | 9455 | |
| 084 | South-Eastern | 11772 | |
| 085 | Northern | 16681 | |
| 091 | Northern Upper Ganga Plains | 28259 | |
| 092 | Central | 26968 | |
| 093 | Eastern | 64531 | |
| 094 | Southern | 15461 | |
| 095 | Southern Upper Ganga Plains | 46546 | |
| 101 | Northern | 52578 | |
| 102 | Central | 33860 | |
| 111 | Sikkim | 13818 | |
| 121 | Arunachal Pradesh | 24730 | |
| 131 | Nagaland | 21170 | |
| 141 | Plains | 40943 | |
| 142 | Hills | 11452 | |
| 151 | Mizoram | 32337 | |
| 161 | Tripura | 35603 | |
| 171 | Meghalaya | 25433 | |
| 181 | Plains Eastern | 19732 | |
| 182 | Plains Western | 22533 | |
| 183 | Cachar Plain | 12611 | |
| 184 | Central Brahmputra Plains | 16094 | |
| 191 | Himalayan | 13687 | |
| 192 | Eastern Plains | 34684 | |
| 193 | Southern Plains | 37121 | |
| 194 | Central Plains | 31908 | |
| 195 | Western Plains | 22048 | |
| 201 | Rachi Plateau | 21063 | |
| 202 | Hazaribagh Plateau | 29894 | |
| 211 | Coastal | 26179 | |
| 212 | Southern | 23776 | |
| 213 | Northern | 20614 | |
| 221 | Northern Chattishgarh | 4872 | |
| 222 | Mahanadi Basin | 30612 | |
| 223 | Southern Chhattishgarh | 6028 | |
| 231 | Vindhya | 16297 | |
| 232 | Central | 13535 | |
| 233 | Malwa | 25575 | |
| 234 | South | 17820 | |
| 235 | South Western | 12568 | |
| 236 | Northern | 14229 | |
| 241 | South Eastern | 28207 | |
| 242 | Plains Northern | 21599 | |
| 243 | Dry areas | 4238 | |
| 244 | Kachchh | 2012 | |
| 245 | Saurashtra | 22879 | |
| 251 | Daman & Diu | 3882 | |
| 261 | Dadra & Nagar Haveli | 3997 | |
| 271 | Coastal | 48756 | |
| 272 | Inland Western | 46094 | |
| 273 | Inland Northern | 22451 | |
| 274 | Inland Central | 30052 | |
| 275 | Inland Eastern | 31728 | |
| 276 | Eastern | 11238 | |
| 281 | Costal Northern | 32132 | |
| 282 | Costal Southern | 28929 | |
| 283 | Inland North Western | 40871 | |
| 284 | Inland North Eastern | 22685 | |
| 285 | Inland Southern | 27818 | |
| 291 | Coastal & Ghats | 8797 | |
| 292 | Inland Eastern | 10782 | |
| 293 | Inland Southern | 36501 | |
| 294 | Inland Northern | 38812 | |
| 301 | Goa | 11800 | |
| 311 | Lakshadweep | 3313 | |
| 321 | Northern | 42248 | |
| 322 | Southern | 59073 | |
| 331 | Coastal Northern | 48932 | |
| 332 | Coastal | 29381 | |
| 333 | Southern | 43540 | |
| 334 | Inland | 36468 | |
| 341 | Pondicherry | 15974 | |
| 351 | Andaman & Nicobar Islands | 12457 |
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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