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 |
![]() |
Created on
Aug 04, 2016
Last modified
Sep 02, 2016
Page views
356670
- 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.