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

331848

Sub-Stratum (Sub_Stratum)
File: Expenditure on education , medical (institutional) goods and services during the last 365 days and expenditutre on miscellaneous goods and services including, rents and taxes during the last 30 days

Overview

Type: Discrete
Format: character
Width: 2

Valid cases: 1287387
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	498364	38.7%
02	310130	24.1%
03	179493	13.9%
04	101890	7.9%
05	60197	4.7%
06	38731	3.0%
07	24866	1.9%
08	15917	1.2%
09	10890	0.8%
10	8734	0.7%
11	6811	0.5%
12	4409	0.3%
13	3712	0.3%
14	3617	0.3%
15	3054	0.2%
16	1904	0.1%
17	1918	0.1%
18	1774	0.1%
19	1347	0.1%
20	1476	0.1%
21	1408	0.1%
22	1242	0.1%
23	986	0.1%
24	1016	0.1%
25	990	0.1%
26	924	0.1%
27	526	0.0%
28	493	0.0%
29	568	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.