COVID-19-Related Shocks in Rural India 2020, Rounds 1-3
India, 2020
Get MicrodataCreated on
Mar 22, 2021
Last modified
Mar 22, 2021
Page views
27644
4.2 Most profitable crop grown (primary_crop)
Data file: wb1_raw_dataset.dta
Overview
Valid:
44
Invalid:
4506
Minimum:
-999
Maximum:
99
Type:
Discrete
Decimal:
0
Start:
481
End:
484
Width:
4
Range:
-999 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999 | Don't Know | 1 |
2.3%
|
| -888 | Refuse | 1 |
2.3%
|
| -777 | Half complete | 0 |
0%
|
| 2 | Wheat | 11 |
25%
|
| 3 | Paddy | 2 |
4.5%
|
| 4 | Maize | 0 |
0%
|
| 5 | Sugarcane | 4 |
9.1%
|
| 6 | Soyabean | 0 |
0%
|
| 7 | Chana / bengalgram | 3 |
6.8%
|
| 8 | Bajra / millets | 2 |
4.5%
|
| 9 | Jowar | 0 |
0%
|
| 10 | Raagi | 0 |
0%
|
| 11 | Groundnut | 0 |
0%
|
| 12 | Arhar / Pigeon pea / Redgram | 0 |
0%
|
| 13 | Masoor / Red lentil | 0 |
0%
|
| 14 | Urad / Blackgram | 0 |
0%
|
| 15 | Lobhia | 0 |
0%
|
| 16 | Moong / Greengram | 0 |
0%
|
| 17 | Rajma / Kidney beans | 0 |
0%
|
| 18 | Mustard | 2 |
4.5%
|
| 19 | Sesame | 1 |
2.3%
|
| 20 | Tomato | 3 |
6.8%
|
| 21 | Onion | 2 |
4.5%
|
| 22 | Potato | 1 |
2.3%
|
| 23 | Chillies | 0 |
0%
|
| 24 | Beans | 0 |
0%
|
| 25 | Bhindi / Okra | 1 |
2.3%
|
| 26 | Brinjal | 0 |
0%
|
| 27 | Cabbage | 0 |
0%
|
| 28 | Cauliflower | 2 |
4.5%
|
| 29 | Coriander | 0 |
0%
|
| 30 | Limes/Lemons | 0 |
0%
|
| 31 | Turmeric | 0 |
0%
|
| 32 | Mango | 0 |
0%
|
| 33 | Muskmelon | 0 |
0%
|
| 34 | Watermelon | 0 |
0%
|
| 35 | Banana | 0 |
0%
|
| 36 | Coconut | 0 |
0%
|
| 37 | Guava | 0 |
0%
|
| 38 | Pomegranate | 0 |
0%
|
| 39 | Papaya | 0 |
0%
|
| 40 | Pineapple | 0 |
0%
|
| 41 | Mosambi | 0 |
0%
|
| 42 | Sapota | 0 |
0%
|
| 43 | Cashewnut | 0 |
0%
|
| 44 | Cotton | 0 |
0%
|
| 45 | Betelvine / paan | 0 |
0%
|
| 46 | Coffee | 0 |
0%
|
| 47 | Chai / Tea | 0 |
0%
|
| 48 | Tobacco | 0 |
0%
|
| 49 | Jute | 0 |
0%
|
| 50 | Flowers | 0 |
0%
|
| 99 | Other | 8 |
18.2%
|
| Sysmiss | 4506 |
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.