India - Household Consumer Expenditure Type-1, July 2009 - June 2010, NSS 66th Round
Reference ID | DDI-IND-NSSO-66-SCHEDULE-1.0T1 |
Year | 2009 - 2010 |
Country | India |
Producer(s) | National Sample Survey Office,NSSO - Ministry of Statistics & Programme Implementation, Govenment of India |
Sponsor(s) | Ministry of Statistics & Programme Implementation, Govenment of Indis - MOSPI - |
Collection(s) |
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
203646
- 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.