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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_12c (hh wave1)

Overview

Valid: 6604
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 43
0.7%
2 Panchthar 0
0%
3 Ilam 156
2.4%
4 Jhapa 300
4.5%
5 Morang 342
5.2%
6 Sunsari 244
3.7%
7 Dhankuta 105
1.6%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 110
1.7%
11 Solukhumbu 47
0.7%
12 Okhaldhunga 63
1%
13 Khotang 139
2.1%
14 Udayapur 133
2%
15 Saptari 175
2.6%
16 Siraha 0
0%
17 Dhanusha 198
3%
18 Mahottari 134
2%
19 Sarlahi 186
2.8%
20 Sindhuli 80
1.2%
21 Ramechhap 0
0%
22 Dolakha 55
0.8%
23 Sindhupalchok 180
2.7%
24 Kabhrepalanchok 207
3.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 82
1.2%
29 Rasuwa 0
0%
30 Dhading 104
1.6%
31 Makwanpur 224
3.4%
32 Rautahat 0
0%
33 Bara 115
1.7%
34 Parsa 68
1%
35 Chitwan 0
0%
36 Gorkha 68
1%
37 Lamjung 86
1.3%
38 Tanahun 137
2.1%
39 Syangja 119
1.8%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 71
1.1%
44 Parbat 0
0%
45 Baglung 149
2.3%
46 Gulmi 229
3.5%
47 Palpa 174
2.6%
48 Nawalparasi 313
4.7%
49 Rupandehi 349
5.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 31
0.5%
54 Rukum 21
0.3%
55 Salyan 0
0%
56 Dang 251
3.8%
57 Banke 256
3.9%
58 Bardiya 0
0%
59 Surkhet 121
1.8%
60 Dailekh 62
0.9%
61 Jajarkot 11
0.2%
62 Dolpa 0
0%
63 Jumla 22
0.3%
64 Kalikot 21
0.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 31
0.5%
68 Bajhang 43
0.7%
69 Achham 74
1.1%
70 Doti 46
0.7%
71 Kailali 328
5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 53
0.8%
75 Darchula 48
0.7%
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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