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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_9f (hh wave2)

Overview

Valid: 3857
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 35
0.9%
2 Panchthar 0
0%
3 Ilam 51
1.3%
4 Jhapa 226
5.9%
5 Morang 20
0.5%
6 Sunsari 20
0.5%
7 Dhankuta 57
1.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 76
2%
11 Solukhumbu 47
1.2%
12 Okhaldhunga 45
1.2%
13 Khotang 76
2%
14 Udayapur 94
2.4%
15 Saptari 58
1.5%
16 Siraha 0
0%
17 Dhanusha 53
1.4%
18 Mahottari 87
2.3%
19 Sarlahi 80
2.1%
20 Sindhuli 108
2.8%
21 Ramechhap 0
0%
22 Dolakha 57
1.5%
23 Sindhupalchok 33
0.9%
24 Kabhrepalanchok 37
1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 118
3.1%
29 Rasuwa 0
0%
30 Dhading 196
5.1%
31 Makwanpur 53
1.4%
32 Rautahat 0
0%
33 Bara 65
1.7%
34 Parsa 58
1.5%
35 Chitwan 0
0%
36 Gorkha 52
1.3%
37 Lamjung 49
1.3%
38 Tanahun 78
2%
39 Syangja 74
1.9%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 40
1%
44 Parbat 0
0%
45 Baglung 59
1.5%
46 Gulmi 74
1.9%
47 Palpa 14
0.4%
48 Nawalparasi 69
1.8%
49 Rupandehi 74
1.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 64
1.7%
54 Rukum 103
2.7%
55 Salyan 0
0%
56 Dang 159
4.1%
57 Banke 101
2.6%
58 Bardiya 0
0%
59 Surkhet 142
3.7%
60 Dailekh 109
2.8%
61 Jajarkot 86
2.2%
62 Dolpa 0
0%
63 Jumla 13
0.3%
64 Kalikot 64
1.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 54
1.4%
68 Bajhang 85
2.2%
69 Achham 108
2.8%
70 Doti 74
1.9%
71 Kailali 230
6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 73
1.9%
75 Darchula 59
1.5%
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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