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 |
Created on
Aug 21, 2015
Last modified
Aug 22, 2015
Page views
287850
- 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
Sub_Stratum
(Sub_Stratum)
File: Household Characteristics
File: Household Characteristics
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 50297 Invalid: 0 |
Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed will be 'r/4'. The villages within a district as per frame will be first arranged in ascending order of population. Then sub-strata 1 to 'r/4' will be demarcated in such a way that each sub-stratum will comprise a group of villages of the arranged frame and have more or less equal population.
Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs.
For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks.
All non-UFS towns taken together within the district will form one sub-stratum.
Urban sector: If 'u' be the sample size for a urban stratum, 'u/4' number of sub-strata will be formed. The towns within a district, except those with population 10 lakhs or more and also the non-UFS towns, will be first arranged in ascending order of population. Next, UFS blocks of each town will be arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of FSUs.
For towns with population 10 lakhs or more, the urban blocks will be first arranged by IV unit no. × block no. in ascending order. Then 'u/4' number of sub-strata will be formed in such a way that each sub-stratum will have more or less equal number of blocks.
All non-UFS towns taken together within the district will form one sub-stratum.
Value | Category | Cases | |
---|---|---|---|
01 | 19490 | 38.7% | |
02 | 12203 | 24.3% | |
03 | 7093 | 14.1% | |
04 | 4033 | 8.0% | |
05 | 2416 | 4.8% | |
06 | 1483 | 2.9% | |
07 | 959 | 1.9% | |
08 | 587 | 1.2% | |
09 | 380 | 0.8% | |
10 | 319 | 0.6% | |
11 | 256 | 0.5% | |
12 | 155 | 0.3% | |
13 | 127 | 0.3% | |
14 | 128 | 0.3% | |
15 | 111 | 0.2% | |
16 | 63 | 0.1% | |
17 | 63 | 0.1% | |
18 | 64 | 0.1% | |
19 | 47 | 0.1% | |
20 | 48 | 0.1% | |
21 | 48 | 0.1% | |
22 | 48 | 0.1% | |
23 | 32 | 0.1% | |
24 | 32 | 0.1% | |
25 | 32 | 0.1% | |
26 | 32 | 0.1% | |
27 | 16 | 0.0% | |
28 | 16 | 0.0% | |
29 | 16 | 0.0% |
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.