India - Household Consumer Expenditure Survey: 64th Round, Schedule 1.0, July 2007 - June 2008
| Reference ID | DDI-IND-NSSO-64-SCHEDULE-1.0 |
| Year | 0 |
| Country | India |
| Producer(s) | National Sample Survey Office,NSSO |
| Sponsor(s) | Ministry of Statistics & P.i, Govenment of Indis - MOSPI - |
| Collection(s) | |
| Metadata |
Documentation in PDF
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Created on
Aug 21, 2015
Last modified
Aug 22, 2015
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- Identification of Sa
mple Household - Household Characteri
stics - Demographic and othe
r particulars of hou
sehold members - Consumption of food,
pan, tobacco , into
xicants and fuel dur
ing the last 30 days - Consumption of cloth
ing, bedding and foo
twear during the las
t 365 days - Expenditure on educa
tion , medical (inst
itutional) goods and
services during the
last 365 days and e
xpenditutre on misce
llaneous goods and s
ervices including, r
ents and taxes durin
g the last 30 days - Expenditure for purc
hase and constructio
n (including repair
and maintenance) of
durable goods for do
mestic use during th
e last 365
Variable Groups
Stratum
(Stratum)
File: Demographic and other particulars of household members
File: Demographic and other particulars of household members
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 242369 Invalid: 0 |
Definition
Within each district of a State/ UT, generally speaking, two basic strata will be formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them will form a separate basic stratum and the remaining urban areas of the district will be considered as another basic stratum.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 01 | 14419 | ||
| 02 | 13105 | ||
| 03 | 10538 | ||
| 04 | 12760 | ||
| 05 | 9170 | ||
| 06 | 10728 | ||
| 07 | 10914 | ||
| 08 | 7543 | ||
| 09 | 8209 | ||
| 10 | 8406 | ||
| 11 | 8309 | ||
| 12 | 7582 | ||
| 13 | 8181 | ||
| 14 | 7563 | ||
| 15 | 7366 | ||
| 16 | 5796 | ||
| 17 | 5857 | ||
| 18 | 6347 | ||
| 19 | 4944 | ||
| 20 | 5246 | ||
| 21 | 4735 | ||
| 22 | 3809 | ||
| 23 | 3322 | ||
| 24 | 3798 | ||
| 25 | 2945 | ||
| 26 | 3815 | ||
| 27 | 2605 | ||
| 28 | 4055 | ||
| 29 | 2514 | ||
| 30 | 2749 | ||
| 31 | 2260 | ||
| 32 | 1619 | ||
| 33 | 1381 | ||
| 34 | 1827 | ||
| 35 | 1945 | ||
| 36 | 1352 | ||
| 37 | 1095 | ||
| 38 | 1001 | ||
| 39 | 763 | ||
| 40 | 2249 | ||
| 41 | 630 | ||
| 42 | 1101 | ||
| 43 | 855 | ||
| 44 | 546 | ||
| 45 | 888 | ||
| 46 | 657 | ||
| 47 | 613 | ||
| 48 | 410 | ||
| 49 | 622 | ||
| 50 | 425 | ||
| 51 | 337 | ||
| 52 | 378 | ||
| 53 | 434 | ||
| 54 | 473 | ||
| 55 | 501 | ||
| 56 | 352 | ||
| 57 | 396 | ||
| 58 | 622 | ||
| 59 | 654 | ||
| 60 | 573 | ||
| 61 | 701 | ||
| 62 | 445 | ||
| 63 | 503 | ||
| 64 | 622 | ||
| 65 | 673 | ||
| 66 | 423 | ||
| 67 | 468 | ||
| 68 | 339 | ||
| 69 | 385 | ||
| 70 | 260 | ||
| 71 | 129 | ||
| 72 | 169 | ||
| 73 | 276 | ||
| 74 | 274 | ||
| 75 | 139 | ||
| 81 | 416 | ||
| 82 | 192 | ||
| 83 | 137 | ||
| 84 | 49 | ||
| 85 | 48 | ||
| 86 | 46 | ||
| 87 | 58 | ||
| 88 | 47 | ||
| 89 | 49 | ||
| 90 | 47 | ||
| 91 | 60 | ||
| 92 | 67 | ||
| 93 | 55 | ||
| 94 | 59 | ||
| 95 | 57 | ||
| 96 | 55 | ||
| 99 | 832 |
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.



Documentation in PDF