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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_14c (hh wave2)

Overview

Valid: 2488
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 0
0%
2 Panchthar 0
0%
3 Ilam 30
1.2%
4 Jhapa 39
1.6%
5 Morang 8
0.3%
6 Sunsari 6
0.2%
7 Dhankuta 29
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 32
1.3%
11 Solukhumbu 18
0.7%
12 Okhaldhunga 23
0.9%
13 Khotang 41
1.6%
14 Udayapur 50
2%
15 Saptari 9
0.4%
16 Siraha 0
0%
17 Dhanusha 61
2.5%
18 Mahottari 104
4.2%
19 Sarlahi 98
3.9%
20 Sindhuli 15
0.6%
21 Ramechhap 0
0%
22 Dolakha 5
0.2%
23 Sindhupalchok 164
6.6%
24 Kabhrepalanchok 153
6.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 46
1.8%
29 Rasuwa 0
0%
30 Dhading 17
0.7%
31 Makwanpur 109
4.4%
32 Rautahat 0
0%
33 Bara 89
3.6%
34 Parsa 47
1.9%
35 Chitwan 0
0%
36 Gorkha 12
0.5%
37 Lamjung 27
1.1%
38 Tanahun 9
0.4%
39 Syangja 10
0.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 46
1.8%
44 Parbat 0
0%
45 Baglung 73
2.9%
46 Gulmi 97
3.9%
47 Palpa 51
2%
48 Nawalparasi 76
3.1%
49 Rupandehi 60
2.4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 22
0.9%
54 Rukum 66
2.7%
55 Salyan 0
0%
56 Dang 13
0.5%
57 Banke 4
0.2%
58 Bardiya 0
0%
59 Surkhet 132
5.3%
60 Dailekh 86
3.5%
61 Jajarkot 32
1.3%
62 Dolpa 0
0%
63 Jumla 98
3.9%
64 Kalikot 157
6.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 92
3.7%
68 Bajhang 23
0.9%
69 Achham 16
0.6%
70 Doti 5
0.2%
71 Kailali 49
2%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 13
0.5%
75 Darchula 26
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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