Household Risk and Vulnerability Survey 2016, Wave 1
Nepal, 2016
Get Microdata
Reference ID
NPL_2016_HRVS_v01_M
Producer(s)
Thomas Walker, Hanan Jacoby
Metadata
Created on
Sep 19, 2017
Last modified
Oct 05, 2017
Page views
157898
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- Data files
- weights
- 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_7a
- Section_7b
- 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_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_16
Caste of the recipient (s13q03)
Data file: Section_13a
Overview
Valid:
223
Invalid:
1
Type:
Discrete
Decimal:
0
Width:
8
Range:
1 - 104
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Chhetri | 37 |
16.6%
|
| 2 | Brahman (Hill) | 20 |
9%
|
| 3 | Magar | 17 |
7.6%
|
| 4 | Tharu | 31 |
13.9%
|
| 5 | Tamang | 12 |
5.4%
|
| 6 | Newar | 8 |
3.6%
|
| 7 | Muslim | 2 |
0.9%
|
| 8 | Kami | 11 |
4.9%
|
| 9 | Yadav | 7 |
3.1%
|
| 10 | Rai | 13 |
5.8%
|
| 11 | Gurung | 1 |
0.4%
|
| 12 | Damain/Dholi | 3 |
1.3%
|
| 13 | Limbu | 0 |
0%
|
| 14 | Thakuri | 3 |
1.3%
|
| 15 | Sarki | 0 |
0%
|
| 16 | Teli | 1 |
0.4%
|
| 17 | Chamar/Harijan/Ram | 0 |
0%
|
| 18 | Koiri | 1 |
0.4%
|
| 19 | Kurmi | 3 |
1.3%
|
| 20 | Sanyasi | 1 |
0.4%
|
| 21 | Dhanuk | 1 |
0.4%
|
| 22 | Musahar | 0 |
0%
|
| 23 | Dusadh/Paswan/Pasi | 0 |
0%
|
| 24 | Sherpa | 0 |
0%
|
| 25 | Sonar | 1 |
0.4%
|
| 26 | Kewat | 0 |
0%
|
| 27 | Brahman (Tarai) | 6 |
2.7%
|
| 28 | Baniya | 0 |
0%
|
| 29 | Gharti/Bhujel | 0 |
0%
|
| 30 | Mallah | 1 |
0.4%
|
| 31 | Kalwar | 0 |
0%
|
| 32 | Kumal | 0 |
0%
|
| 33 | Hajam/Thakur | 0 |
0%
|
| 34 | Kanu | 0 |
0%
|
| 35 | Rajbansi | 0 |
0%
|
| 36 | Sunuwar | 0 |
0%
|
| 37 | Sudhi | 0 |
0%
|
| 38 | Lohar | 0 |
0%
|
| 39 | Tatma | 0 |
0%
|
| 40 | Khatwe | 0 |
0%
|
| 41 | Dhobi | 2 |
0.9%
|
| 42 | Majhi | 3 |
1.3%
|
| 43 | Nuniya | 0 |
0%
|
| 44 | Kumhar | 0 |
0%
|
| 45 | Danuwar | 1 |
0.4%
|
| 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 | 1 |
0.4%
|
| 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 | 1 |
0.4%
|
| 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 | 1 |
0.4%
|
| 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 | 6 |
2.7%
|
| 104 | Don't Know | 28 |
12.6%
|
| Sysmiss | 1 |
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.