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Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
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Name of District (district)

Data file: Section_16 (hh wave2)

Overview

Valid: 2270
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 18
0.8%
2 Panchthar 0
0%
3 Ilam 45
2%
4 Jhapa 52
2.3%
5 Morang 73
3.2%
6 Sunsari 59
2.6%
7 Dhankuta 24
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 37
1.6%
11 Solukhumbu 18
0.8%
12 Okhaldhunga 17
0.7%
13 Khotang 52
2.3%
14 Udayapur 38
1.7%
15 Saptari 53
2.3%
16 Siraha 0
0%
17 Dhanusha 63
2.8%
18 Mahottari 76
3.3%
19 Sarlahi 82
3.6%
20 Sindhuli 51
2.2%
21 Ramechhap 0
0%
22 Dolakha 20
0.9%
23 Sindhupalchok 34
1.5%
24 Kabhrepalanchok 38
1.7%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 27
1.2%
29 Rasuwa 0
0%
30 Dhading 66
2.9%
31 Makwanpur 65
2.9%
32 Rautahat 0
0%
33 Bara 49
2.2%
34 Parsa 55
2.4%
35 Chitwan 0
0%
36 Gorkha 10
0.4%
37 Lamjung 13
0.6%
38 Tanahun 46
2%
39 Syangja 30
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 10
0.4%
44 Parbat 0
0%
45 Baglung 29
1.3%
46 Gulmi 60
2.6%
47 Palpa 36
1.6%
48 Nawalparasi 77
3.4%
49 Rupandehi 71
3.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 44
1.9%
54 Rukum 50
2.2%
55 Salyan 0
0%
56 Dang 64
2.8%
57 Banke 68
3%
58 Bardiya 0
0%
59 Surkhet 63
2.8%
60 Dailekh 69
3%
61 Jajarkot 53
2.3%
62 Dolpa 0
0%
63 Jumla 11
0.5%
64 Kalikot 36
1.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 21
0.9%
68 Bajhang 74
3.3%
69 Achham 49
2.2%
70 Doti 42
1.9%
71 Kailali 79
3.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 34
1.5%
75 Darchula 19
0.8%
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.
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