Household Risk and Vulnerability Survey 2016-2018
Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
Collections
Metadata
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
Page views
108997
Downloads
380
- Data files
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_4a
- Section_4b
- Section_5
- Section_0
- Section_1
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_17
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_5
- Section_0
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_16
- Section_17
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_4a
- Section_4b
- Section_5
- Section_0
- Section_1
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14c
- Section_15b
- Section_16
- Section_17
- Section_16
- Section_4a
- Section_4b
- Section_1
- Section_11a
- Section_14b
- Section_15a
Caste of donor (s13q12)
Data file: Section_13b
Overview
Valid:
147
Invalid:
0
Type:
Discrete
Decimal:
2
Start:
34
End:
39
Width:
6
Range:
1 - 104
Format:
Numeric
Questions and instructions
Literal question
13.12. What is the caste of the donor?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | CHHETRI | 48 |
32.7%
|
| 2 | BRAHMAN (HILL) | 17 |
11.6%
|
| 3 | MAGAR | 8 |
5.4%
|
| 4 | THARU | 9 |
6.1%
|
| 5 | TAMANG | 5 |
3.4%
|
| 6 | NEWAR | 2 |
1.4%
|
| 7 | MUSLIM | 4 |
2.7%
|
| 8 | KAMI | 5 |
3.4%
|
| 9 | YADAV | 1 |
0.7%
|
| 10 | RAI | 9 |
6.1%
|
| 11 | GURUNG | 1 |
0.7%
|
| 12 | DAMAIN/DHOLI | 4 |
2.7%
|
| 13 | LIMBU | 0 |
0%
|
| 14 | THAKURI | 8 |
5.4%
|
| 15 | SARKI | 0 |
0%
|
| 16 | TELI | 0 |
0%
|
| 17 | CHAMAR/HARIJAN/RAM | 0 |
0%
|
| 18 | KOIRI | 1 |
0.7%
|
| 19 | KURMI | 1 |
0.7%
|
| 20 | SANYASI | 0 |
0%
|
| 21 | DHANUK | 2 |
1.4%
|
| 22 | MUSAHAR | 4 |
2.7%
|
| 23 | DUSADH/PASWAN/PASI | 0 |
0%
|
| 24 | SHERPA | 0 |
0%
|
| 25 | SONAR | 2 |
1.4%
|
| 26 | KEWAT | 0 |
0%
|
| 27 | BRAHMAN (TARAI) | 1 |
0.7%
|
| 28 | BANIYA | 0 |
0%
|
| 29 | GHARTI/BHUJEL | 0 |
0%
|
| 30 | MALLAH | 0 |
0%
|
| 31 | KALWAR | 0 |
0%
|
| 32 | KUMAL | 0 |
0%
|
| 33 | HAJAM/THAKUR | 0 |
0%
|
| 34 | KANU | 1 |
0.7%
|
| 35 | RAJBANSI | 0 |
0%
|
| 36 | SUNUWAR | 0 |
0%
|
| 37 | SUDHI | 0 |
0%
|
| 38 | LOHAR | 1 |
0.7%
|
| 39 | TATMA | 1 |
0.7%
|
| 40 | KHATWE | 0 |
0%
|
| 41 | DHOBI | 0 |
0%
|
| 42 | MAJHI | 1 |
0.7%
|
| 43 | NUNIYA | 0 |
0%
|
| 44 | KUMHAR | 0 |
0%
|
| 45 | DANUWAR | 0 |
0%
|
| 46 | CHEPANG/PRAJA | 0 |
0%
|
| 47 | HALUWAI | 1 |
0.7%
|
| 48 | RAJPUT | 0 |
0%
|
| 49 | KAYASTHA | 1 |
0.7%
|
| 50 | BADHAE | 0 |
0%
|
| 51 | MARWADI | 0 |
0%
|
| 52 | SANTHAL/SATAR | 0 |
0%
|
| 53 | DHAGAR/JHAGAR | 0 |
0%
|
| 54 | BANTAR | 0 |
0%
|
| 55 | BARAE | 0 |
0%
|
| 56 | KAHAR | 0 |
0%
|
| 57 | GANGAI | 0 |
0%
|
| 58 | LODH | 0 |
0%
|
| 59 | RAJBHAR | 0 |
0%
|
| 60 | THAMI | 0 |
0%
|
| 61 | DHIMAL | 0 |
0%
|
| 62 | BHOTE | 0 |
0%
|
| 63 | BING/BINDA | 0 |
0%
|
| 64 | BHEDIYAR/GADERI | 0 |
0%
|
| 65 | NURANG | 0 |
0%
|
| 66 | YAKKHA | 0 |
0%
|
| 67 | DARAI | 0 |
0%
|
| 68 | TAJPURIYA | 0 |
0%
|
| 69 | THAKALI | 0 |
0%
|
| 70 | CHIDIMAR | 0 |
0%
|
| 71 | PAHARI | 0 |
0%
|
| 72 | MALI | 0 |
0%
|
| 73 | BANGALI | 0 |
0%
|
| 74 | CHHANTAL | 0 |
0%
|
| 75 | DOM | 0 |
0%
|
| 76 | KAMAR | 0 |
0%
|
| 77 | BOTE | 0 |
0%
|
| 78 | BRAHMU/BARAMU | 0 |
0%
|
| 79 | GAINE | 0 |
0%
|
| 80 | JIREL | 0 |
0%
|
| 81 | ADIBASI/JANAJATI | 0 |
0%
|
| 82 | DURA | 0 |
0%
|
| 83 | CHURAUTE | 0 |
0%
|
| 84 | BADI | 0 |
0%
|
| 85 | MECHE | 0 |
0%
|
| 86 | LEPCHA | 0 |
0%
|
| 87 | HALKHOR | 0 |
0%
|
| 88 | PUNJABI/SIKH | 0 |
0%
|
| 89 | KISAN | 0 |
0%
|
| 90 | RAJI | 0 |
0%
|
| 91 | BYANGSI | 0 |
0%
|
| 92 | HAYU | 0 |
0%
|
| 93 | KOCHE | 0 |
0%
|
| 94 | DHUNIA | 0 |
0%
|
| 95 | WALUNG | 0 |
0%
|
| 96 | JAIN | 0 |
0%
|
| 97 | MUNDA | 0 |
0%
|
| 98 | RAUTE | 0 |
0%
|
| 99 | YEHLMO | 0 |
0%
|
| 100 | PATHARKATA/KUSWADIYA | 0 |
0%
|
| 101 | KUSUNDA | 0 |
0%
|
| 102 | OTHER DALIT | 1 |
0.7%
|
| 103 | OTHER CASTE | 4 |
2.7%
|
| 104 | DONT KNOW | 4 |
2.7%
|
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.