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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 wave3)

Overview

Valid: 3723
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 54
1.5%
4 Jhapa 144
3.9%
5 Morang 10
0.3%
6 Sunsari 7
0.2%
7 Dhankuta 40
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 46
1.2%
11 Solukhumbu 32
0.9%
12 Okhaldhunga 38
1%
13 Khotang 44
1.2%
14 Udayapur 68
1.8%
15 Saptari 12
0.3%
16 Siraha 0
0%
17 Dhanusha 118
3.2%
18 Mahottari 110
3%
19 Sarlahi 103
2.8%
20 Sindhuli 21
0.6%
21 Ramechhap 0
0%
22 Dolakha 11
0.3%
23 Sindhupalchok 196
5.3%
24 Kabhrepalanchok 194
5.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 72
1.9%
29 Rasuwa 0
0%
30 Dhading 48
1.3%
31 Makwanpur 170
4.6%
32 Rautahat 0
0%
33 Bara 91
2.4%
34 Parsa 46
1.2%
35 Chitwan 0
0%
36 Gorkha 13
0.3%
37 Lamjung 43
1.2%
38 Tanahun 71
1.9%
39 Syangja 57
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 47
1.3%
44 Parbat 0
0%
45 Baglung 72
1.9%
46 Gulmi 99
2.7%
47 Palpa 52
1.4%
48 Nawalparasi 161
4.3%
49 Rupandehi 152
4.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 46
1.2%
54 Rukum 95
2.6%
55 Salyan 0
0%
56 Dang 50
1.3%
57 Banke 18
0.5%
58 Bardiya 0
0%
59 Surkhet 168
4.5%
60 Dailekh 102
2.7%
61 Jajarkot 38
1%
62 Dolpa 0
0%
63 Jumla 99
2.7%
64 Kalikot 168
4.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 98
2.6%
68 Bajhang 26
0.7%
69 Achham 38
1%
70 Doti 36
1%
71 Kailali 126
3.4%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 113
3%
75 Darchula 60
1.6%
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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