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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_9e (hh wave1)

Overview

Valid: 5654
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 44
0.8%
2 Panchthar 0
0%
3 Ilam 131
2.3%
4 Jhapa 186
3.3%
5 Morang 221
3.9%
6 Sunsari 147
2.6%
7 Dhankuta 74
1.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 87
1.5%
11 Solukhumbu 54
1%
12 Okhaldhunga 59
1%
13 Khotang 101
1.8%
14 Udayapur 109
1.9%
15 Saptari 149
2.6%
16 Siraha 0
0%
17 Dhanusha 160
2.8%
18 Mahottari 131
2.3%
19 Sarlahi 173
3.1%
20 Sindhuli 115
2%
21 Ramechhap 0
0%
22 Dolakha 72
1.3%
23 Sindhupalchok 136
2.4%
24 Kabhrepalanchok 133
2.4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 110
1.9%
29 Rasuwa 0
0%
30 Dhading 170
3%
31 Makwanpur 139
2.5%
32 Rautahat 0
0%
33 Bara 129
2.3%
34 Parsa 105
1.9%
35 Chitwan 0
0%
36 Gorkha 68
1.2%
37 Lamjung 71
1.3%
38 Tanahun 112
2%
39 Syangja 86
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 38
0.7%
44 Parbat 0
0%
45 Baglung 85
1.5%
46 Gulmi 124
2.2%
47 Palpa 86
1.5%
48 Nawalparasi 241
4.3%
49 Rupandehi 263
4.7%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 77
1.4%
54 Rukum 87
1.5%
55 Salyan 0
0%
56 Dang 169
3%
57 Banke 165
2.9%
58 Bardiya 0
0%
59 Surkhet 125
2.2%
60 Dailekh 101
1.8%
61 Jajarkot 73
1.3%
62 Dolpa 0
0%
63 Jumla 30
0.5%
64 Kalikot 55
1%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 39
0.7%
68 Bajhang 70
1.2%
69 Achham 92
1.6%
70 Doti 68
1.2%
71 Kailali 255
4.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 83
1.5%
75 Darchula 56
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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