India - Employment and Unemployment Survey: NSS 43rd Round, Schedule 10, July 1987 - June 1988
Reference ID | DDI-IND-MOSPI-NSSO-43Rnd-Sch10-1987-88 |
Year | 1987 - 1988 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata | Documentation in PDF |
Created on
Aug 26, 2015
Last modified
Aug 27, 2015
Page views
333038
- Block-1-3-Household-
Records - Block-4-Persons-Demo
graphic-current-week
ly-activity- Records - Block-5-Persons-Dail
y- activity- time-di
sposion-Records - Block-6--Persons-Usu
al-activity- migrati
on-Records - Block-7-Persons- usu
al-activity-statusco
de-11to94-Records - Block-8-Domestic-dut
ies-Persons Records - Block-9-Household-Lo
an-Records
Variable Groups
State
(State)
File: Block-1-3-Household-Records
File: Block-1-3-Household-Records
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 129194 Invalid: 0 |
Questions and instructions
State Code
Value | Category | Cases | |
---|---|---|---|
02 | Andhra Pradesh | 9466 | 7.3% |
03 | Assam | 4470 | 3.5% |
04 | Bihar | 10015 | 7.8% |
05 | Gujarat | 5086 | 3.9% |
06 | Haryana | 1830 | 1.4% |
07 | Himachal Pradesh | 2313 | 1.8% |
08 | Jammu & Kashmir | 4711 | 3.6% |
09 | Karnataka | 5571 | 4.3% |
10 | Kerala | 4794 | 3.7% |
11 | Madhya Pradesh | 9259 | 7.2% |
12 | Maharashtra | 11243 | 8.7% |
13 | Manipur | 1891 | 1.5% |
14 | Meghalaya | 1730 | 1.3% |
15 | Nagaland | 300 | 0.2% |
16 | Orissa | 4650 | 3.6% |
17 | Punjab | 4597 | 3.6% |
18 | Rajasthan | 5409 | 4.2% |
19 | Sikkim | 640 | 0.5% |
20 | Tamil Nadu | 8818 | 6.8% |
21 | Tripura | 1887 | 1.5% |
22 | Uttar Pradesh | 15108 | 11.7% |
23 | West Bengal | 8474 | 6.6% |
24 | A & N Islands | 1120 | 0.9% |
25 | Arunachal Pradesh | 1152 | 0.9% |
26 | Chandigarh | 240 | 0.2% |
27 | Dadra & Nagar Haveli | 320 | 0.2% |
28 | Delhi | 1207 | 0.9% |
29 | Goa | 529 | 0.4% |
30 | Lakshdweep | 280 | 0.2% |
31 | Mizoram | 1554 | 1.2% |
32 | Pondicherry | 530 | 0.4% |
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.
State to which the sample village/block belongs to will be recorded here as per the code list