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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_12a (hh wave1)

Overview

Valid: 3781
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
0.9%
2 Panchthar 0
0%
3 Ilam 66
1.7%
4 Jhapa 57
1.5%
5 Morang 68
1.8%
6 Sunsari 50
1.3%
7 Dhankuta 83
2.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 136
3.6%
11 Solukhumbu 32
0.8%
12 Okhaldhunga 47
1.2%
13 Khotang 161
4.3%
14 Udayapur 157
4.2%
15 Saptari 92
2.4%
16 Siraha 0
0%
17 Dhanusha 59
1.6%
18 Mahottari 51
1.3%
19 Sarlahi 63
1.7%
20 Sindhuli 111
2.9%
21 Ramechhap 0
0%
22 Dolakha 66
1.7%
23 Sindhupalchok 127
3.4%
24 Kabhrepalanchok 126
3.3%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 57
1.5%
29 Rasuwa 0
0%
30 Dhading 139
3.7%
31 Makwanpur 116
3.1%
32 Rautahat 0
0%
33 Bara 50
1.3%
34 Parsa 46
1.2%
35 Chitwan 0
0%
36 Gorkha 20
0.5%
37 Lamjung 14
0.4%
38 Tanahun 26
0.7%
39 Syangja 10
0.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 31
0.8%
44 Parbat 0
0%
45 Baglung 72
1.9%
46 Gulmi 122
3.2%
47 Palpa 69
1.8%
48 Nawalparasi 81
2.1%
49 Rupandehi 62
1.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 94
2.5%
54 Rukum 152
4%
55 Salyan 0
0%
56 Dang 111
2.9%
57 Banke 92
2.4%
58 Bardiya 0
0%
59 Surkhet 137
3.6%
60 Dailekh 146
3.9%
61 Jajarkot 94
2.5%
62 Dolpa 0
0%
63 Jumla 36
1%
64 Kalikot 72
1.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 35
0.9%
68 Bajhang 31
0.8%
69 Achham 19
0.5%
70 Doti 18
0.5%
71 Kailali 199
5.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 31
0.8%
75 Darchula 13
0.3%
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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