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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 wave3)

Overview

Valid: 7422
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 68
0.9%
2 Panchthar 0
0%
3 Ilam 173
2.3%
4 Jhapa 176
2.4%
5 Morang 183
2.5%
6 Sunsari 148
2%
7 Dhankuta 173
2.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 265
3.6%
11 Solukhumbu 69
0.9%
12 Okhaldhunga 74
1%
13 Khotang 291
3.9%
14 Udayapur 291
3.9%
15 Saptari 170
2.3%
16 Siraha 0
0%
17 Dhanusha 106
1.4%
18 Mahottari 90
1.2%
19 Sarlahi 129
1.7%
20 Sindhuli 223
3%
21 Ramechhap 0
0%
22 Dolakha 129
1.7%
23 Sindhupalchok 183
2.5%
24 Kabhrepalanchok 161
2.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 114
1.5%
29 Rasuwa 0
0%
30 Dhading 247
3.3%
31 Makwanpur 140
1.9%
32 Rautahat 0
0%
33 Bara 71
1%
34 Parsa 64
0.9%
35 Chitwan 0
0%
36 Gorkha 81
1.1%
37 Lamjung 67
0.9%
38 Tanahun 100
1.3%
39 Syangja 53
0.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 76
1%
44 Parbat 0
0%
45 Baglung 164
2.2%
46 Gulmi 252
3.4%
47 Palpa 144
1.9%
48 Nawalparasi 139
1.9%
49 Rupandehi 123
1.7%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 168
2.3%
54 Rukum 216
2.9%
55 Salyan 0
0%
56 Dang 223
3%
57 Banke 218
2.9%
58 Bardiya 0
0%
59 Surkhet 297
4%
60 Dailekh 260
3.5%
61 Jajarkot 141
1.9%
62 Dolpa 0
0%
63 Jumla 60
0.8%
64 Kalikot 135
1.8%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 56
0.8%
68 Bajhang 59
0.8%
69 Achham 77
1%
70 Doti 56
0.8%
71 Kailali 429
5.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 55
0.7%
75 Darchula 35
0.5%
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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