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
147129
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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
Primary Language Spoken in Household (s00q16)
Data file: Section_0
Overview
Valid:
5992
Invalid:
8
Type:
Discrete
Decimal:
0
Width:
8
Range:
1 - 93
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Nepali | 3316 |
55.3%
|
| 2 | Angika | 0 |
0%
|
| 3 | Assamise | 0 |
0%
|
| 4 | Awadhi | 71 |
1.2%
|
| 5 | Bahing | 25 |
0.4%
|
| 6 | Bajika | 21 |
0.4%
|
| 7 | Bangla | 0 |
0%
|
| 8 | Bantawa | 30 |
0.5%
|
| 9 | Baram | 0 |
0%
|
| 10 | Bhojpuri | 309 |
5.2%
|
| 11 | Bhujel/Khawas | 0 |
0%
|
| 12 | Bote | 1 |
0%
|
| 13 | Byangshi | 1 |
0%
|
| 14 | Chamling | 12 |
0.2%
|
| 15 | Chantyal/Chantel | 0 |
0%
|
| 16 | Chepang | 29 |
0.5%
|
| 17 | Chhiling | 0 |
0%
|
| 18 | Chhitang | 0 |
0%
|
| 19 | Chinese | 0 |
0%
|
| 20 | Churauti | 0 |
0%
|
| 21 | Danuwar | 13 |
0.2%
|
| 22 | Darai | 0 |
0%
|
| 23 | Dhimal | 3 |
0.1%
|
| 24 | Dumi | 1 |
0%
|
| 25 | Dungmali | 0 |
0%
|
| 26 | Dura | 0 |
0%
|
| 27 | Dzonhkha | 0 |
0%
|
| 28 | English | 0 |
0%
|
| 29 | Ghale | 16 |
0.3%
|
| 30 | Gurung | 60 |
1%
|
| 31 | Hariyanwi | 0 |
0%
|
| 32 | Hayu | 1 |
0%
|
| 33 | Hindi | 1 |
0%
|
| 34 | Jero/Jerung | 12 |
0.2%
|
| 35 | Jhangar/Dhangar | 7 |
0.1%
|
| 36 | Jirel | 0 |
0%
|
| 37 | Kagate | 0 |
0%
|
| 38 | Kaike | 0 |
0%
|
| 39 | Khaling | 10 |
0.2%
|
| 40 | Khariya | 0 |
0%
|
| 41 | Kisan | 0 |
0%
|
| 42 | Koche | 0 |
0%
|
| 43 | Koi/Koyu | 15 |
0.3%
|
| 44 | Kuki | 0 |
0%
|
| 45 | Kulumh | 0 |
0%
|
| 46 | Kumal | 1 |
0%
|
| 47 | Kurmali | 0 |
0%
|
| 48 | Kusunda | 0 |
0%
|
| 49 | Lepcha/Lapche | 0 |
0%
|
| 50 | Lhomi | 0 |
0%
|
| 51 | Lhorung | 0 |
0%
|
| 52 | Limbu | 53 |
0.9%
|
| 53 | Lingkhim | 0 |
0%
|
| 54 | Magahi | 0 |
0%
|
| 55 | Magar | 233 |
3.9%
|
| 56 | Maithili | 664 |
11.1%
|
| 57 | Manjhih | 21 |
0.4%
|
| 58 | Marwari | 0 |
0%
|
| 59 | Meche | 0 |
0%
|
| 60 | Mewahang | 0 |
0%
|
| 61 | Mizo | 0 |
0%
|
| 62 | Nachhiring | 0 |
0%
|
| 63 | Nagamese | 0 |
0%
|
| 64 | Nepali Sign Language | 0 |
0%
|
| 65 | Newar | 74 |
1.2%
|
| 66 | Oriya | 0 |
0%
|
| 67 | Pahari | 0 |
0%
|
| 68 | Puma | 0 |
0%
|
| 69 | Punjabi | 0 |
0%
|
| 70 | Rajbansi | 33 |
0.6%
|
| 71 | Raji | 0 |
0%
|
| 72 | Raute | 0 |
0%
|
| 73 | Sadhani | 0 |
0%
|
| 74 | Sam | 0 |
0%
|
| 75 | Sangpang | 15 |
0.3%
|
| 76 | Sanskrit | 0 |
0%
|
| 77 | Santhali | 2 |
0%
|
| 78 | Sherpa | 38 |
0.6%
|
| 79 | Sindhi | 0 |
0%
|
| 80 | Sunuwar | 2 |
0%
|
| 81 | Tamang | 323 |
5.4%
|
| 82 | Thakali | 0 |
0%
|
| 83 | Thami | 5 |
0.1%
|
| 84 | Tharu | 412 |
6.9%
|
| 85 | Thulung | 5 |
0.1%
|
| 86 | Tibetan | 1 |
0%
|
| 87 | Tilung | 0 |
0%
|
| 88 | Urdu | 16 |
0.3%
|
| 89 | Wambule/Umbule | 1 |
0%
|
| 90 | Yakkha | 6 |
0.1%
|
| 91 | Yamphu/Yamphe | 1 |
0%
|
| 92 | Yholmo | 1 |
0%
|
| 93 | Others | 131 |
2.2%
|
| Sysmiss | 8 |
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.