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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_9d (hh wave3)

Overview

Valid: 11328
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 123
1.1%
2 Panchthar 0
0%
3 Ilam 267
2.4%
4 Jhapa 264
2.3%
5 Morang 332
2.9%
6 Sunsari 268
2.4%
7 Dhankuta 247
2.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 349
3.1%
11 Solukhumbu 149
1.3%
12 Okhaldhunga 158
1.4%
13 Khotang 358
3.2%
14 Udayapur 358
3.2%
15 Saptari 232
2%
16 Siraha 0
0%
17 Dhanusha 113
1%
18 Mahottari 134
1.2%
19 Sarlahi 128
1.1%
20 Sindhuli 347
3.1%
21 Ramechhap 0
0%
22 Dolakha 197
1.7%
23 Sindhupalchok 282
2.5%
24 Kabhrepalanchok 315
2.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 265
2.3%
29 Rasuwa 0
0%
30 Dhading 391
3.5%
31 Makwanpur 332
2.9%
32 Rautahat 0
0%
33 Bara 71
0.6%
34 Parsa 64
0.6%
35 Chitwan 0
0%
36 Gorkha 174
1.5%
37 Lamjung 121
1.1%
38 Tanahun 292
2.6%
39 Syangja 204
1.8%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 101
0.9%
44 Parbat 0
0%
45 Baglung 211
1.9%
46 Gulmi 349
3.1%
47 Palpa 191
1.7%
48 Nawalparasi 293
2.6%
49 Rupandehi 257
2.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 232
2%
54 Rukum 254
2.2%
55 Salyan 0
0%
56 Dang 317
2.8%
57 Banke 233
2.1%
58 Bardiya 0
0%
59 Surkhet 289
2.6%
60 Dailekh 269
2.4%
61 Jajarkot 204
1.8%
62 Dolpa 0
0%
63 Jumla 43
0.4%
64 Kalikot 104
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 97
0.9%
68 Bajhang 183
1.6%
69 Achham 228
2%
70 Doti 158
1.4%
71 Kailali 421
3.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 215
1.9%
75 Darchula 144
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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