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: 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: 2163878 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 011 | Mountainous | 17284 | |
| 012 | Outer Hills | 6421 | |
| 013 | Jhelam Valley | 36285 | |
| 014 | Ladakh | 0 | |
| 021 | Central | 22902 | |
| 022 | Trans Himalayan & Southern | 18748 | |
| 031 | Northern | 30339 | |
| 032 | Southern | 36039 | |
| 041 | Chandigarh | 7299 | |
| 051 | Uttaranchal | 34539 | |
| 061 | Eastern | 36592 | |
| 062 | Western | 19956 | |
| 071 | Delhi | 22707 | |
| 081 | Western | 17574 | |
| 082 | North-Eastern | 27673 | |
| 083 | Southern | 9491 | |
| 084 | South-Eastern | 11759 | |
| 085 | Northern | 16671 | |
| 091 | Northern Upper Ganga Plains | 28758 | |
| 092 | Central | 26814 | |
| 093 | Eastern | 64926 | |
| 094 | Southern | 15723 | |
| 095 | Southern Upper Ganga Plains | 47074 | |
| 101 | Northern | 52828 | |
| 102 | Central | 34234 | |
| 111 | Sikkim | 14244 | |
| 121 | Arunachal Pradesh | 24568 | |
| 131 | Nagaland | 21699 | |
| 141 | Plains | 42232 | |
| 142 | Hills | 11725 | |
| 151 | Mizoram | 32432 | |
| 161 | Tripura | 35881 | |
| 171 | Meghalaya | 25854 | |
| 181 | Plains Eastern | 19914 | |
| 182 | Plains Western | 22772 | |
| 183 | Cachar Plain | 12880 | |
| 184 | Central Brahmputra Plains | 16367 | |
| 191 | Himalayan | 13425 | |
| 192 | Eastern Plains | 35088 | |
| 193 | Southern Plains | 37687 | |
| 194 | Central Plains | 32041 | |
| 195 | Western Plains | 22294 | |
| 201 | Rachi Plateau | 21583 | |
| 202 | Hazaribagh Plateau | 30139 | |
| 211 | Coastal | 26576 | |
| 212 | Southern | 23796 | |
| 213 | Northern | 20956 | |
| 221 | Northern Chattishgarh | 4870 | |
| 222 | Mahanadi Basin | 30572 | |
| 223 | Southern Chhattishgarh | 5998 | |
| 231 | Vindhya | 16290 | |
| 232 | Central | 13533 | |
| 233 | Malwa | 25435 | |
| 234 | South | 18057 | |
| 235 | South Western | 12661 | |
| 236 | Northern | 14228 | |
| 241 | South Eastern | 28629 | |
| 242 | Plains Northern | 21937 | |
| 243 | Dry areas | 4315 | |
| 244 | Kachchh | 2129 | |
| 245 | Saurashtra | 23320 | |
| 251 | Daman & Diu | 3979 | |
| 261 | Dadra & Nagar Haveli | 3985 | |
| 271 | Coastal | 48883 | |
| 272 | Inland Western | 46497 | |
| 273 | Inland Northern | 22741 | |
| 274 | Inland Central | 29967 | |
| 275 | Inland Eastern | 32013 | |
| 276 | Eastern | 11403 | |
| 281 | Costal Northern | 32481 | |
| 282 | Costal Southern | 29290 | |
| 283 | Inland North Western | 41600 | |
| 284 | Inland North Eastern | 23228 | |
| 285 | Inland Southern | 28540 | |
| 291 | Coastal & Ghats | 8931 | |
| 292 | Inland Eastern | 10953 | |
| 293 | Inland Southern | 36343 | |
| 294 | Inland Northern | 38853 | |
| 301 | Goa | 11810 | |
| 311 | Lakshadweep | 3389 | |
| 321 | Northern | 42636 | |
| 322 | Southern | 59044 | |
| 331 | Coastal Northern | 49701 | |
| 332 | Coastal | 29454 | |
| 333 | Southern | 44128 | |
| 334 | Inland | 36583 | |
| 341 | Pondicherry | 16066 | |
| 351 | Andaman & Nicobar Islands | 12617 |
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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