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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / IND_2020_CRSS-W1_V01_EN_M_V01_A_OCS / variable [F1]
agricultural-surveys

COVID-19 Related Shocks Survey in Rural India 2020

India, 2020
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Reference ID
IND_2020_CRSS-W1_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
15505
Downloads
244
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • wb1_cleaned_dataset
  • wb1_raw_dataset

Master district name (master_dist_name)

Data file: wb1_cleaned_dataset

Overview

Valid: 4550
Invalid: 0
Type: Discrete
Start: 1652
End: 1661
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
145 239
5.3%
171 139
3.1%
178 190
4.2%
180 142
3.1%
203 9
0.2%
204 16
0.4%
205 1
0%
206 4
0.1%
207 1
0%
208 3
0.1%
209 6
0.1%
210 3
0.1%
211 5
0.1%
212 4
0.1%
213 1
0%
214 4
0.1%
215 11
0.2%
216 17
0.4%
217 11
0.2%
218 4
0.1%
219 5
0.1%
220 3
0.1%
221 9
0.2%
222 3
0.1%
223 5
0.1%
224 2
0%
225 2
0%
226 6
0.1%
227 1
0%
228 2
0%
229 1
0%
230 17
0.4%
231 9
0.2%
232 4
0.1%
233 4
0.1%
234 19
0.4%
235 4
0.1%
236 2
0%
237 5
0.1%
238 1
0%
239 2
0%
240 1
0%
3 79
1.7%
4 55
1.2%
419 14
0.3%
420 4
0.1%
421 7
0.2%
422 4
0.1%
423 2
0%
424 3
0.1%
425 5
0.1%
426 4
0.1%
427 5
0.1%
428 1
0%
429 1
0%
430 2
0%
431 1
0%
432 3
0.1%
433 3
0.1%
434 2
0%
435 2
0%
437 8
0.2%
438 8
0.2%
439 8
0.2%
440 5
0.1%
441 3
0.1%
442 12
0.3%
443 2
0%
444 14
0.3%
445 9
0.2%
446 5
0.1%
447 3
0.1%
448 1
0%
450 3
0.1%
451 7
0.2%
453 2
0%
454 1
0%
455 3
0.1%
457 3
0.1%
458 7
0.2%
459 6
0.1%
460 2
0%
461 1
0%
462 6
0.1%
463 12
0.3%
464 7
0.2%
465 2
0%
466 5
0.1%
467 6
0.1%
5 67
1.5%
542 16
0.4%
543 14
0.3%
544 16
0.4%
545 18
0.4%
546 20
0.4%
547 32
0.7%
548 24
0.5%
549 22
0.5%
550 21
0.5%
551 18
0.4%
552 31
0.7%
553 22
0.5%
554 26
0.6%
Ajmer 187
4.1%
Baran 322
7.1%
Bhilwara 221
4.9%
Bikaner 242
5.3%
Garwha 286
6.3%
Hazaribagh 278
6.1%
Jhalawar 318
7%
Jodhpur 213
4.7%
Khunti 176
3.9%
Pakur 274
6%
Simdega 154
3.4%
Tonk 267
5.9%
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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