COVID-19 Related Shocks Survey (CRSS) in Rural India 2020
India, 2020
Get Microdata
Reference ID
IND_2020_CRSS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Metadata
Created on
Feb 05, 2021
Last modified
Nov 08, 2022
Page views
96817
Downloads
926
PII: District (geo_dist)
Data file: wb1_cleaned_dataset.dta
Overview
Valid:
4550
Invalid:
-
Minimum:
3
Maximum:
554
Type:
Discrete
Decimal:
0
Start:
3
End:
5
Width:
3
Range:
3 - 554
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Bikaner | 242 |
8.2%
|
| 113 | Jodhpur | 213 |
7.2%
|
| 119 | Ajmer | 187 |
6.4%
|
| 120 | Tonk | 267 |
9.1%
|
| 122 | Bhilwara | 221 |
7.5%
|
| 128 | Baran | 322 |
11%
|
| 129 | Jhalawar | 318 |
10.8%
|
| 346 | Garhwa | 286 |
9.7%
|
| 353 | Pakur | 274 |
9.3%
|
| 360 | Hazaribagh | 278 |
9.5%
|
| 365 | Khunti | 176 |
6%
|
| 367 | Simdega | 154 |
5.2%
|
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.