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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_15a (hh wave2)

Overview

Valid: 2627
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 25
1%
2 Panchthar 0
0%
3 Ilam 23
0.9%
4 Jhapa 23
0.9%
5 Morang 8
0.3%
6 Sunsari 6
0.2%
7 Dhankuta 25
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 30
1.1%
11 Solukhumbu 11
0.4%
12 Okhaldhunga 4
0.2%
13 Khotang 23
0.9%
14 Udayapur 12
0.5%
15 Saptari 6
0.2%
16 Siraha 0
0%
17 Dhanusha 38
1.4%
18 Mahottari 18
0.7%
19 Sarlahi 7
0.3%
20 Sindhuli 6
0.2%
21 Ramechhap 0
0%
22 Dolakha 1
0%
23 Sindhupalchok 26
1%
24 Kabhrepalanchok 17
0.6%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 112
4.3%
29 Rasuwa 0
0%
30 Dhading 175
6.7%
31 Makwanpur 19
0.7%
32 Rautahat 0
0%
33 Bara 1
0%
34 Parsa 0
0%
35 Chitwan 0
0%
36 Gorkha 26
1%
37 Lamjung 38
1.4%
38 Tanahun 46
1.8%
39 Syangja 40
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 28
1.1%
44 Parbat 0
0%
45 Baglung 57
2.2%
46 Gulmi 90
3.4%
47 Palpa 49
1.9%
48 Nawalparasi 62
2.4%
49 Rupandehi 61
2.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 149
5.7%
54 Rukum 204
7.8%
55 Salyan 0
0%
56 Dang 55
2.1%
57 Banke 112
4.3%
58 Bardiya 0
0%
59 Surkhet 127
4.8%
60 Dailekh 105
4%
61 Jajarkot 142
5.4%
62 Dolpa 0
0%
63 Jumla 20
0.8%
64 Kalikot 79
3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 60
2.3%
68 Bajhang 100
3.8%
69 Achham 105
4%
70 Doti 58
2.2%
71 Kailali 52
2%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 93
3.5%
75 Darchula 53
2%
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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