Household Risk and Vulnerability Survey, Full Panel 2016-2018
Nepal, 2016 - 2018
Get MicrodataCreated on
Jan 16, 2021
Last modified
Sep 07, 2022
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- Data files
-
Section_0
(community
wave1) -
Section_1
(community
wave1) -
Section_2
(community
wave1) -
Section_3a
(community
wave1) -
Section_3b
(community
wave1) -
Section_4a
(community
wave1) -
Section_4b
(community
wave1) -
Section_5
(community
wave1) -
Section_0 (hh
wave1) -
Section_1 (hh
wave1) -
Section_2 (hh
wave1) -
Section_3 (hh
wave1) -
Section_4 (hh
wave1) -
Section_5a (hh
wave1) -
Section_5b (hh
wave1) -
Section_6a (hh
wave1) -
Section_6b (hh
wave1) -
Section_6c (hh
wave1) -
Section_6d (hh
wave1) -
Section_7 (hh
wave1) -
Section_8 (hh
wave1) -
Section_9a1 (hh
wave1) -
Section_9a2 (hh
wave1) -
Section_9a3 (hh
wave1) -
Section_9a4 (hh
wave1) -
Section_9b1 (hh
wave1) -
Section_9b2 (hh
wave1) -
Section_9c (hh
wave1) -
Section_9d (hh
wave1) -
Section_9e (hh
wave1) -
Section_9f (hh
wave1) -
Section_10 (hh
wave1) -
Section_11 (hh
wave1) -
Section_12a (hh
wave1) -
Section_12b (hh
wave1) -
Section_12c (hh
wave1) -
Section_12d (hh
wave1) -
Section_13a (hh
wave1) -
Section_13b (hh
wave1) -
Section_13c (hh
wave1) -
Section_13d (hh
wave1) -
Section_14a (hh
wave1) -
Section_14b (hh
wave1) -
Section_14c (hh
wave1) -
Section_15a (hh
wave1) -
Section_15b (hh
wave1) -
Section_16 (hh
wave1) -
Section_17 (hh
wave1) -
Section_0
(community
wave2) -
Section_1
(community
wave2) -
Section_2
(community
wave2) -
Section_3a
(community
wave2) -
Section_3b
(community
wave2) -
Section_4a
(community
wave2) -
Section_4b
(community
wave2) -
Section_5
(community
wave2) -
Section_0 (hh
wave2) -
Section_1 (hh
wave2) -
Section_2 (hh
wave2) -
Section_3 (hh
wave2) -
Section_4 (hh
wave2) -
Section_5a (hh
wave2) -
Section_5b (hh
wave2) -
Section_6a (hh
wave2) -
Section_6b (hh
wave2) -
Section_6c (hh
wave2) -
Section_6d (hh
wave2) -
Section_7 (hh
wave2) -
Section_8 (hh
wave2) -
Section_9a1 (hh
wave2) -
Section_9a2 (hh
wave2) -
Section_9a3 (hh
wave2) -
Section_9a4 (hh
wave2) -
Section_9b1 (hh
wave2) -
Section_9b2 (hh
wave2) -
Section_9c (hh
wave2) -
Section_9d (hh
wave2) -
Section_9e (hh
wave2) -
Section_9f (hh
wave2) -
Section_10 (hh
wave2) -
Section_11 (hh
wave2) -
Section_12a (hh
wave2) -
Section_12b (hh
wave2) -
Section_12c (hh
wave2) -
Section_12d (hh
wave2) -
Section_13a (hh
wave2) -
Section_13b (hh
wave2) -
Section_13c (hh
wave2) -
Section_13d (hh
wave2) -
Section_14a (hh
wave2) -
Section_14b (hh
wave2) -
Section_14c (hh
wave2) -
Section_15a (hh
wave2) -
Section_15b (hh
wave2) -
Section_16 (hh
wave2) -
Section_17 (hh
wave2) -
Section_0
(community
wave3) -
Section_1
(community
wave3) -
Section_2
(community
wave3) -
Section_3a
(community
wave3) -
Section_3b
(community
wave3) -
Section_4a
(community
wave3) -
Section_4b
(community
wave3) -
Section_5
(community
wave3) -
Section_0 (hh
wave3) -
Section_1 (hh
wave3) -
Section_2 (hh
wave3) -
Section_3 (hh
wave3) -
Section_4 (hh
wave3) -
Section_5a (hh
wave3) -
Section_5b (hh
wave3) -
Section_6a (hh
wave3) -
Section_6b (hh
wave3) -
Section_6c (hh
wave3) -
Section_6d (hh
wave3) -
Section_7 (hh
wave3) -
Section_8 (hh
wave3) -
Section_9a1 (hh
wave3) -
Section_9a2 (hh
wave3) -
Section_9a3 (hh
wave3) -
Section_9a4 (hh
wave3) -
Section_9b1 (hh
wave3) -
Section_9b2 (hh
wave3) -
Section_9c (hh
wave3) -
Section_9d (hh
wave3) -
Section_9e (hh
wave3) -
Section_9f (hh
wave3) -
Section_10 (hh
wave3) -
Section_11 (hh
wave3) -
Section_11a (hh
wave3) -
Section_12a (hh
wave3) -
Section_12b (hh
wave3) -
Section_12c (hh
wave3) -
Section_12d (hh
wave3) -
Section_13a (hh
wave3) -
Section_13b (hh
wave3) -
Section_13c (hh
wave3) -
Section_13d (hh
wave3) -
Section_14a (hh
wave3) -
Section_14b (hh
wave3) -
Section_14c (hh
wave3) -
Section_15a (hh
wave3) -
Section_15b (hh
wave3) -
Section_16 (hh
wave3) -
Section_17 (hh
wave3)
Caste of donor (s13q12)
Data file: Section_13b (hh wave2)
Overview
Valid:
68
Invalid:
0
Type:
Discrete
Decimal:
2
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 | 11 |
16.2%
|
| 2 | BRAHMAN (HILL) | 12 |
17.6%
|
| 3 | MAGAR | 2 |
2.9%
|
| 4 | THARU | 6 |
8.8%
|
| 5 | TAMANG | 6 |
8.8%
|
| 6 | NEWAR | 0 |
0%
|
| 7 | MUSLIM | 1 |
1.5%
|
| 8 | KAMI | 4 |
5.9%
|
| 9 | YADAV | 0 |
0%
|
| 10 | RAI | 4 |
5.9%
|
| 11 | GURUNG | 4 |
5.9%
|
| 12 | DAMAIN/DHOLI | 2 |
2.9%
|
| 13 | LIMBU | 2 |
2.9%
|
| 14 | THAKURI | 3 |
4.4%
|
| 15 | SARKI | 1 |
1.5%
|
| 16 | TELI | 1 |
1.5%
|
| 17 | CHAMAR/HARIJAN/RAM | 0 |
0%
|
| 18 | KOIRI | 0 |
0%
|
| 19 | KURMI | 0 |
0%
|
| 20 | SANYASI | 1 |
1.5%
|
| 21 | DHANUK | 1 |
1.5%
|
| 22 | MUSAHAR | 0 |
0%
|
| 23 | DUSADH/PASWAN/PASI | 0 |
0%
|
| 24 | SHERPA | 1 |
1.5%
|
| 25 | SONAR | 1 |
1.5%
|
| 26 | KEWAT | 0 |
0%
|
| 27 | BRAHMAN (TARAI) | 1 |
1.5%
|
| 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 | 0 |
0%
|
| 35 | RAJBANSI | 2 |
2.9%
|
| 36 | SUNUWAR | 0 |
0%
|
| 37 | SUDHI | 0 |
0%
|
| 38 | LOHAR | 1 |
1.5%
|
| 39 | TATMA | 1 |
1.5%
|
| 40 | KHATWE | 0 |
0%
|
| 41 | DHOBI | 0 |
0%
|
| 42 | MAJHI | 0 |
0%
|
| 43 | NUNIYA | 0 |
0%
|
| 44 | KUMHAR | 0 |
0%
|
| 45 | DANUWAR | 0 |
0%
|
| 46 | CHEPANG/PRAJA | 0 |
0%
|
| 47 | HALUWAI | 0 |
0%
|
| 48 | RAJPUT | 0 |
0%
|
| 49 | KAYASTHA | 0 |
0%
|
| 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 | 0 |
0%
|
| 103 | OTHER CASTE | 0 |
0%
|
| 104 | DONT KNOW | 0 |
0%
|
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.