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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_9b2 (hh wave1)

Overview

Valid: 8573
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 57
0.7%
2 Panchthar 0
0%
3 Ilam 282
3.3%
4 Jhapa 245
2.9%
5 Morang 122
1.4%
6 Sunsari 103
1.2%
7 Dhankuta 89
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 111
1.3%
11 Solukhumbu 74
0.9%
12 Okhaldhunga 87
1%
13 Khotang 106
1.2%
14 Udayapur 115
1.3%
15 Saptari 136
1.6%
16 Siraha 0
0%
17 Dhanusha 158
1.8%
18 Mahottari 146
1.7%
19 Sarlahi 166
1.9%
20 Sindhuli 157
1.8%
21 Ramechhap 0
0%
22 Dolakha 93
1.1%
23 Sindhupalchok 173
2%
24 Kabhrepalanchok 272
3.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 100
1.2%
29 Rasuwa 0
0%
30 Dhading 33
0.4%
31 Makwanpur 251
2.9%
32 Rautahat 0
0%
33 Bara 171
2%
34 Parsa 144
1.7%
35 Chitwan 0
0%
36 Gorkha 41
0.5%
37 Lamjung 63
0.7%
38 Tanahun 87
1%
39 Syangja 30
0.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 89
1%
44 Parbat 0
0%
45 Baglung 345
4%
46 Gulmi 481
5.6%
47 Palpa 304
3.5%
48 Nawalparasi 336
3.9%
49 Rupandehi 305
3.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 236
2.8%
54 Rukum 307
3.6%
55 Salyan 0
0%
56 Dang 280
3.3%
57 Banke 163
1.9%
58 Bardiya 0
0%
59 Surkhet 392
4.6%
60 Dailekh 232
2.7%
61 Jajarkot 317
3.7%
62 Dolpa 0
0%
63 Jumla 35
0.4%
64 Kalikot 121
1.4%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 85
1%
68 Bajhang 92
1.1%
69 Achham 94
1.1%
70 Doti 79
0.9%
71 Kailali 419
4.9%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 135
1.6%
75 Darchula 114
1.3%
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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