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    Home / Central Data Catalog / PLFS / DDI-IND-CSO-PLFS-2021-22 / variable [V221]
PLFS

Periodic Labour Force Survey (PLFS), July 2021-June 2022

India
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Reference ID
DDI-IND-CSO-PLFS-2021-22
Collections
Periodic Labour Force Survey
Metadata
DDI/XML JSON
Created on
Nov 13, 2024
Last modified
May 25, 2026
Page views
91518
Downloads
6992
  • Study Description
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  • hhrv
  • hhv1
  • perrv
  • perv1

(Subsidiary) location Of Workplace Code (b5pt2q7_perv1)

Data file: perv1

Overview

Valid: 16227
Invalid: 412298
Minimum: 10.0
Maximum: 99.0
Mean: 19.78239970419671
Standard deviation: 15.961131323832987
Type: Discrete
Width: 2
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 workplace in rural areas and located in dwelling unit 1653
10.2%
11 workplace in rural areas and located in structure attached t 1095
6.7%
12 286
1.8%
13 workplace in rural areas and located in detached structure a 915
5.6%
14 workplace in rural areas and located in own enterprise/unit/ 414
2.6%
15 workplace in rural areas and located in employer’s dwelling 113
0.7%
16 workplace in rural areas and located in employer’s enterpris 5093
31.4%
17 workplace in rural areas and located in street with fixed lo 124
0.8%
18 workplace in rural areas and located in construction site 1771
10.9%
19 workplace in rural areas and located in others 763
4.7%
20 818
5%
21 workplace in urban areas and located in: dwelling unit 349
2.2%
22 workplace in urban areas and located in: structure attached 83
0.5%
23 workplace in urban areas and located in: detached structure 184
1.1%
24 workplace in urban areas and located in: own enterprise/unit 355
2.2%
25 workplace in urban areas and located in: employer’s dwelling 147
0.9%
26 workplace in urban areas and located in: employer’s enterpri 681
4.2%
27 workplace in urban areas and located in: street with fixed l 96
0.6%
28 workplace in urban areas and located in: construction site 518
3.2%
29 workplace in urban areas and located in: others 189
1.2%
99 no fixed workplace 580
3.6%
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.
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