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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_11 (hh wave1)

Overview

Valid: 3685
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 28
0.8%
2 Panchthar 0
0%
3 Ilam 105
2.8%
4 Jhapa 83
2.3%
5 Morang 90
2.4%
6 Sunsari 57
1.5%
7 Dhankuta 53
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 81
2.2%
11 Solukhumbu 32
0.9%
12 Okhaldhunga 44
1.2%
13 Khotang 81
2.2%
14 Udayapur 93
2.5%
15 Saptari 66
1.8%
16 Siraha 0
0%
17 Dhanusha 65
1.8%
18 Mahottari 58
1.6%
19 Sarlahi 51
1.4%
20 Sindhuli 77
2.1%
21 Ramechhap 0
0%
22 Dolakha 49
1.3%
23 Sindhupalchok 96
2.6%
24 Kabhrepalanchok 127
3.4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 56
1.5%
29 Rasuwa 0
0%
30 Dhading 126
3.4%
31 Makwanpur 103
2.8%
32 Rautahat 0
0%
33 Bara 36
1%
34 Parsa 39
1.1%
35 Chitwan 0
0%
36 Gorkha 27
0.7%
37 Lamjung 51
1.4%
38 Tanahun 71
1.9%
39 Syangja 87
2.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 23
0.6%
44 Parbat 0
0%
45 Baglung 105
2.8%
46 Gulmi 128
3.5%
47 Palpa 112
3%
48 Nawalparasi 164
4.5%
49 Rupandehi 139
3.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 42
1.1%
54 Rukum 95
2.6%
55 Salyan 0
0%
56 Dang 86
2.3%
57 Banke 91
2.5%
58 Bardiya 0
0%
59 Surkhet 103
2.8%
60 Dailekh 112
3%
61 Jajarkot 48
1.3%
62 Dolpa 0
0%
63 Jumla 9
0.2%
64 Kalikot 54
1.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 31
0.8%
68 Bajhang 20
0.5%
69 Achham 58
1.6%
70 Doti 41
1.1%
71 Kailali 170
4.6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 66
1.8%
75 Darchula 56
1.5%
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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