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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_8 (hh wave3)

Overview

Valid: 4126
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 29
0.7%
2 Panchthar 0
0%
3 Ilam 24
0.6%
4 Jhapa 61
1.5%
5 Morang 196
4.8%
6 Sunsari 202
4.9%
7 Dhankuta 29
0.7%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 26
0.6%
11 Solukhumbu 36
0.9%
12 Okhaldhunga 47
1.1%
13 Khotang 56
1.4%
14 Udayapur 45
1.1%
15 Saptari 186
4.5%
16 Siraha 0
0%
17 Dhanusha 109
2.6%
18 Mahottari 88
2.1%
19 Sarlahi 135
3.3%
20 Sindhuli 56
1.4%
21 Ramechhap 0
0%
22 Dolakha 44
1.1%
23 Sindhupalchok 127
3.1%
24 Kabhrepalanchok 98
2.4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 86
2.1%
29 Rasuwa 0
0%
30 Dhading 101
2.4%
31 Makwanpur 135
3.3%
32 Rautahat 0
0%
33 Bara 147
3.6%
34 Parsa 111
2.7%
35 Chitwan 0
0%
36 Gorkha 36
0.9%
37 Lamjung 36
0.9%
38 Tanahun 60
1.5%
39 Syangja 53
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 23
0.6%
44 Parbat 0
0%
45 Baglung 24
0.6%
46 Gulmi 49
1.2%
47 Palpa 34
0.8%
48 Nawalparasi 213
5.2%
49 Rupandehi 246
6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 51
1.2%
54 Rukum 37
0.9%
55 Salyan 0
0%
56 Dang 151
3.7%
57 Banke 203
4.9%
58 Bardiya 0
0%
59 Surkhet 90
2.2%
60 Dailekh 69
1.7%
61 Jajarkot 48
1.2%
62 Dolpa 0
0%
63 Jumla 21
0.5%
64 Kalikot 66
1.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 15
0.4%
68 Bajhang 35
0.8%
69 Achham 30
0.7%
70 Doti 33
0.8%
71 Kailali 252
6.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 35
0.8%
75 Darchula 42
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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