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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_9f (hh wave3)

Overview

Valid: 6019
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 80
1.3%
2 Panchthar 0
0%
3 Ilam 238
4%
4 Jhapa 310
5.2%
5 Morang 83
1.4%
6 Sunsari 155
2.6%
7 Dhankuta 71
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 98
1.6%
11 Solukhumbu 50
0.8%
12 Okhaldhunga 26
0.4%
13 Khotang 141
2.3%
14 Udayapur 141
2.3%
15 Saptari 86
1.4%
16 Siraha 0
0%
17 Dhanusha 32
0.5%
18 Mahottari 85
1.4%
19 Sarlahi 110
1.8%
20 Sindhuli 106
1.8%
21 Ramechhap 0
0%
22 Dolakha 66
1.1%
23 Sindhupalchok 46
0.8%
24 Kabhrepalanchok 40
0.7%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 31
0.5%
29 Rasuwa 0
0%
30 Dhading 186
3.1%
31 Makwanpur 52
0.9%
32 Rautahat 0
0%
33 Bara 61
1%
34 Parsa 40
0.7%
35 Chitwan 0
0%
36 Gorkha 82
1.4%
37 Lamjung 73
1.2%
38 Tanahun 138
2.3%
39 Syangja 110
1.8%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 51
0.8%
44 Parbat 0
0%
45 Baglung 140
2.3%
46 Gulmi 184
3.1%
47 Palpa 102
1.7%
48 Nawalparasi 108
1.8%
49 Rupandehi 81
1.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 122
2%
54 Rukum 142
2.4%
55 Salyan 0
0%
56 Dang 174
2.9%
57 Banke 146
2.4%
58 Bardiya 0
0%
59 Surkhet 187
3.1%
60 Dailekh 148
2.5%
61 Jajarkot 146
2.4%
62 Dolpa 0
0%
63 Jumla 50
0.8%
64 Kalikot 105
1.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 114
1.9%
68 Bajhang 203
3.4%
69 Achham 252
4.2%
70 Doti 173
2.9%
71 Kailali 309
5.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 211
3.5%
75 Darchula 134
2.2%
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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