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
148637
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11354
- 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
Ethnicity (s00q15)
Data file: Section_0
Overview
Valid:
5996
Invalid:
4
Type:
Discrete
Decimal:
0
Width:
8
Range:
1 - 105
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Adibasi/Janajati | 137 |
2.3%
|
| 2 | Badhae | 4 |
0.1%
|
| 3 | Badi | 0 |
0%
|
| 4 | Bangali | 0 |
0%
|
| 5 | Baniya | 13 |
0.2%
|
| 6 | Bantar | 9 |
0.2%
|
| 7 | Meche | 20 |
0.3%
|
| 8 | Bhediyar/Gaderi | 1 |
0%
|
| 9 | Bhote | 3 |
0.1%
|
| 10 | Bing/Binda | 1 |
0%
|
| 11 | Bote | 1 |
0%
|
| 12 | Brahman (Hill) | 734 |
12.2%
|
| 13 | Brahman (Tarai) | 47 |
0.8%
|
| 14 | Brahmu/Baramu | 0 |
0%
|
| 15 | Byangsi | 0 |
0%
|
| 16 | Chamar/Harijan/Ram | 66 |
1.1%
|
| 17 | Chepang/Praja | 43 |
0.7%
|
| 18 | Chhantal | 3 |
0.1%
|
| 19 | Chhetri | 1144 |
19.1%
|
| 20 | Chidimar | 0 |
0%
|
| 21 | Churaute | 1 |
0%
|
| 22 | Damain/Dholi | 159 |
2.7%
|
| 23 | Danuwar | 17 |
0.3%
|
| 24 | Darai | 0 |
0%
|
| 25 | Dhagar/Jhagar | 7 |
0.1%
|
| 26 | Dhanuk | 51 |
0.9%
|
| 27 | Dhimal | 4 |
0.1%
|
| 28 | Dhobi | 6 |
0.1%
|
| 29 | Dhunia | 0 |
0%
|
| 30 | Dom | 1 |
0%
|
| 31 | Dura | 0 |
0%
|
| 32 | Dusadh/Paswan/Pasi | 30 |
0.5%
|
| 33 | Gaine | 0 |
0%
|
| 34 | Gangai | 9 |
0.2%
|
| 35 | Gharti/Bhujel | 25 |
0.4%
|
| 36 | Gurung | 112 |
1.9%
|
| 37 | Hajam/Thakur | 14 |
0.2%
|
| 38 | Halkhor | 0 |
0%
|
| 39 | Haluwai | 9 |
0.2%
|
| 40 | Hayu | 0 |
0%
|
| 41 | Jain | 0 |
0%
|
| 42 | Jirel | 0 |
0%
|
| 43 | Kahar | 2 |
0%
|
| 44 | Kalwar | 26 |
0.4%
|
| 45 | Kamar | 1 |
0%
|
| 46 | Kami | 280 |
4.7%
|
| 47 | Kanu | 29 |
0.5%
|
| 48 | Kayastha | 5 |
0.1%
|
| 49 | Kewat | 33 |
0.6%
|
| 50 | Khatwe | 11 |
0.2%
|
| 51 | Kisan | 0 |
0%
|
| 52 | Koche | 0 |
0%
|
| 53 | Koiri | 61 |
1%
|
| 54 | Kumal | 16 |
0.3%
|
| 55 | Kumhar | 15 |
0.3%
|
| 56 | Kurmi | 31 |
0.5%
|
| 57 | Kusunda | 0 |
0%
|
| 58 | Lepcha | 1 |
0%
|
| 59 | Limbu | 62 |
1%
|
| 60 | Lodh | 9 |
0.2%
|
| 61 | Lohar | 34 |
0.6%
|
| 62 | Magar | 513 |
8.6%
|
| 63 | Majhi | 51 |
0.9%
|
| 64 | Mali | 3 |
0.1%
|
| 65 | Mallah | 56 |
0.9%
|
| 66 | Marwadi | 0 |
0%
|
| 68 | Munda | 0 |
0%
|
| 69 | Musahar | 56 |
0.9%
|
| 70 | Muslim | 117 |
2%
|
| 71 | Newar | 160 |
2.7%
|
| 72 | Nuniya | 22 |
0.4%
|
| 73 | Nurang | 0 |
0%
|
| 74 | Pahari | 3 |
0.1%
|
| 75 | Patharkata/Kuswadiya | 0 |
0%
|
| 76 | Punjabi/Sikh | 0 |
0%
|
| 77 | Rai | 190 |
3.2%
|
| 78 | Rajbansi | 30 |
0.5%
|
| 79 | Rajbhar | 1 |
0%
|
| 80 | Raji | 2 |
0%
|
| 81 | Rajput | 7 |
0.1%
|
| 82 | Raute | 1 |
0%
|
| 83 | Santhal/Satar | 3 |
0.1%
|
| 84 | Sanyasi | 38 |
0.6%
|
| 85 | Sarki | 89 |
1.5%
|
| 86 | Sherpa | 31 |
0.5%
|
| 87 | Sonar | 25 |
0.4%
|
| 88 | Sudhi | 25 |
0.4%
|
| 89 | Sunuwar | 8 |
0.1%
|
| 90 | Tajpuriya | 1 |
0%
|
| 91 | Tamang | 316 |
5.3%
|
| 92 | Tatma | 16 |
0.3%
|
| 93 | Teli | 56 |
0.9%
|
| 94 | Thakali | 0 |
0%
|
| 95 | Thakuri | 170 |
2.8%
|
| 96 | Thami | 8 |
0.1%
|
| 97 | Tharu | 411 |
6.9%
|
| 98 | Walung | 0 |
0%
|
| 99 | Yadav | 127 |
2.1%
|
| 100 | Yakkha | 8 |
0.1%
|
| 101 | Yehlmo | 1 |
0%
|
| 102 | Other Dalit | 58 |
1%
|
| 103 | Other Caste | 106 |
1.8%
|
| 104 | Don'T Know | 0 |
0%
|
| 105 | Refused | 0 |
0%
|
| Sysmiss | 4 |
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.