India - Housing Condition and Migration Survey, January - June 1993, NSS 49th Round

Reference ID

DDI-IND-MOSPI-NSSO-49Rnd-Sch1dot2-1993

Year

1993

Country

India

Producer(s)

National Sample Survey Office - M/o Statistcs and Programme Implementation(MOSPI),Government of India (GOI)

Sponsor(s)

M/o Statistics & Programme Implementation, GOI - MOSPI -

Collection(s)

Other Surveys

Created on

Jan 17, 2018

Last modified

Mar 27, 2019

Page views

179200

Stratum No (Stratum_No)
File: Block-3-Part-1-household characteristics records

Overview

Type: Discrete
Format: character
Width: 2

Valid cases: 119421
Invalid: 0

Definition

States have been divided into regions by grouping contiguous districts similar in respect of population density and crop pattern. In Gujarat, however, some districts have been split for the purpose of region formation, considering the location of dry areas and the distribution of tribal population in the state.
n the rural sector, within each region, each districts treated as a separate stratum. However, if the census population of the district is greater than or equal to 1.8 million or 2 million ( depending upon whether 1981 or 1991 census frame is used for selection of villages ), the district has been split into two or more strata, by grouping contiguous tehsils to form strata. In Gujarat, in the case of districts extending over more than one region, the part of a district falling in each region constitutes a separate stratum.
In the urban sector, strata are formed, again within the NSS region on the basis of the census population size classes of towns. Each city with population 10 lakhs or more is treated as a separate stratum. Further, within each region, the different towns are grouped to form 3 different strata on the basis of their respective census population.

Questions and instructions

Literal question

Stratum No

Categories

Value	Cases
01	21403	17.9%
02	16705	14.0%
03	12515	10.5%
04	11468	9.6%
05	2591	2.2%
06	2492	2.1%
07	2209	1.8%
08	2206	1.8%
09	2405	2.0%
10	2337	2.0%
11	2265	1.9%
12	2382	2.0%
13	1935	1.6%
14	1758	1.5%
15	1918	1.6%
16	1759	1.5%
17	1661	1.4%
18	1455	1.2%
19	1341	1.1%
20	1552	1.3%
21	1230	1.0%
22	1280	1.1%
23	1200	1.0%
24	879	0.7%
25	1198	1.0%
26	1071	0.9%
27	1178	1.0%
28	1083	0.9%
29	718	0.6%
30	976	0.8%
31	736	0.6%
32	960	0.8%
33	880	0.7%
34	815	0.7%
35	608	0.5%
36	399	0.3%
37	281	0.2%
38	303	0.3%
39	346	0.3%
40	382	0.3%
41	432	0.4%
42	496	0.4%
43	383	0.3%
44	383	0.3%
45	368	0.3%
46	320	0.3%
47	384	0.3%
48	128	0.1%
49	255	0.2%
50	317	0.3%
51	192	0.2%
52	256	0.2%
53	320	0.3%
54	255	0.2%
55	384	0.3%
56	251	0.2%
57	304	0.3%
58	256	0.2%
59	256	0.2%
60	113	0.1%
61	128	0.1%
62	64	0.1%
63	64	0.1%
64	192	0.2%
65	128	0.1%
66	128	0.1%
67	128	0.1%
68	192	0.2%
69	121	0.1%
70	64	0.1%
71	127	0.1%
72	128	0.1%
73	128	0.1%
74	128	0.1%
75	128	0.1%
76	64	0.1%
77	128	0.1%
78	128	0.1%
79	64	0.1%
80	64	0.1%
81	64	0.1%
82	128	0.1%

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.