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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_15a (hh wave1)

Overview

Valid: 7972
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 34
0.4%
2 Panchthar 0
0%
3 Ilam 69
0.9%
4 Jhapa 56
0.7%
5 Morang 198
2.5%
6 Sunsari 154
1.9%
7 Dhankuta 109
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 191
2.4%
11 Solukhumbu 53
0.7%
12 Okhaldhunga 37
0.5%
13 Khotang 220
2.8%
14 Udayapur 247
3.1%
15 Saptari 118
1.5%
16 Siraha 0
0%
17 Dhanusha 166
2.1%
18 Mahottari 178
2.2%
19 Sarlahi 181
2.3%
20 Sindhuli 113
1.4%
21 Ramechhap 0
0%
22 Dolakha 85
1.1%
23 Sindhupalchok 284
3.6%
24 Kabhrepalanchok 201
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 129
1.6%
29 Rasuwa 0
0%
30 Dhading 199
2.5%
31 Makwanpur 110
1.4%
32 Rautahat 0
0%
33 Bara 93
1.2%
34 Parsa 40
0.5%
35 Chitwan 0
0%
36 Gorkha 87
1.1%
37 Lamjung 80
1%
38 Tanahun 123
1.5%
39 Syangja 133
1.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 217
2.7%
44 Parbat 0
0%
45 Baglung 453
5.7%
46 Gulmi 575
7.2%
47 Palpa 334
4.2%
48 Nawalparasi 400
5%
49 Rupandehi 427
5.4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 88
1.1%
54 Rukum 169
2.1%
55 Salyan 0
0%
56 Dang 288
3.6%
57 Banke 336
4.2%
58 Bardiya 0
0%
59 Surkhet 148
1.9%
60 Dailekh 90
1.1%
61 Jajarkot 106
1.3%
62 Dolpa 0
0%
63 Jumla 8
0.1%
64 Kalikot 68
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 30
0.4%
68 Bajhang 33
0.4%
69 Achham 37
0.5%
70 Doti 33
0.4%
71 Kailali 404
5.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 33
0.4%
75 Darchula 7
0.1%
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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