India - Household Consumer Expenditure Survey: 64th Round, Schedule 1.0, July 2007 - June 2008

Reference ID

DDI-IND-NSSO-64-SCHEDULE-1.0

Year

Country

India

Producer(s)

National Sample Survey Office,NSSO

Sponsor(s)

Ministry of Statistics & P.i, Govenment of Indis - MOSPI -

Collection(s)

National Sample Survey

Metadata

Documentation in PDF

Created on

Aug 21, 2015

Last modified

Aug 22, 2015

Page views

287937

Sub Stratum (Sub_Stratum)
File: Consumption of clothing, bedding and footwear during the last 365 days

Overview

Type: Discrete
Format: character
Width: 2

Valid cases: 634173
Invalid: 0

Definition

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.

Categories

Value	Cases
01	246612	38.9%
02	155157	24.5%
03	89868	14.2%
04	50273	7.9%
05	29667	4.7%
06	18353	2.9%
07	11852	1.9%
08	7275	1.1%
09	4739	0.7%
10	3906	0.6%
11	3112	0.5%
12	1875	0.3%
13	1625	0.3%
14	1581	0.2%
15	1439	0.2%
16	770	0.1%
17	751	0.1%
18	709	0.1%
19	579	0.1%
20	598	0.1%
21	635	0.1%
22	601	0.1%
23	387	0.1%
24	460	0.1%
25	406	0.1%
26	376	0.1%
27	176	0.0%
28	181	0.0%
29	210	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.