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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 wave2)

Overview

Valid: 10108
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 49
0.5%
2 Panchthar 0
0%
3 Ilam 166
1.6%
4 Jhapa 161
1.6%
5 Morang 172
1.7%
6 Sunsari 122
1.2%
7 Dhankuta 149
1.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 56
0.6%
11 Solukhumbu 118
1.2%
12 Okhaldhunga 146
1.4%
13 Khotang 206
2%
14 Udayapur 106
1%
15 Saptari 185
1.8%
16 Siraha 0
0%
17 Dhanusha 223
2.2%
18 Mahottari 201
2%
19 Sarlahi 264
2.6%
20 Sindhuli 409
4%
21 Ramechhap 0
0%
22 Dolakha 180
1.8%
23 Sindhupalchok 169
1.7%
24 Kabhrepalanchok 185
1.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 307
3%
29 Rasuwa 0
0%
30 Dhading 342
3.4%
31 Makwanpur 187
1.9%
32 Rautahat 0
0%
33 Bara 164
1.6%
34 Parsa 124
1.2%
35 Chitwan 0
0%
36 Gorkha 68
0.7%
37 Lamjung 67
0.7%
38 Tanahun 122
1.2%
39 Syangja 32
0.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 88
0.9%
44 Parbat 0
0%
45 Baglung 208
2.1%
46 Gulmi 461
4.6%
47 Palpa 324
3.2%
48 Nawalparasi 399
3.9%
49 Rupandehi 465
4.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 224
2.2%
54 Rukum 275
2.7%
55 Salyan 0
0%
56 Dang 525
5.2%
57 Banke 295
2.9%
58 Bardiya 0
0%
59 Surkhet 343
3.4%
60 Dailekh 202
2%
61 Jajarkot 217
2.1%
62 Dolpa 0
0%
63 Jumla 65
0.6%
64 Kalikot 174
1.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 69
0.7%
68 Bajhang 124
1.2%
69 Achham 137
1.4%
70 Doti 95
0.9%
71 Kailali 489
4.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 125
1.2%
75 Darchula 124
1.2%
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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