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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_10 (hh wave2)

Overview

Valid: 1118
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 4
0.4%
2 Panchthar 0
0%
3 Ilam 23
2.1%
4 Jhapa 49
4.4%
5 Morang 55
4.9%
6 Sunsari 30
2.7%
7 Dhankuta 7
0.6%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 11
1%
11 Solukhumbu 16
1.4%
12 Okhaldhunga 6
0.5%
13 Khotang 24
2.1%
14 Udayapur 23
2.1%
15 Saptari 22
2%
16 Siraha 0
0%
17 Dhanusha 23
2.1%
18 Mahottari 19
1.7%
19 Sarlahi 28
2.5%
20 Sindhuli 20
1.8%
21 Ramechhap 0
0%
22 Dolakha 5
0.4%
23 Sindhupalchok 18
1.6%
24 Kabhrepalanchok 28
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 15
1.3%
29 Rasuwa 0
0%
30 Dhading 24
2.1%
31 Makwanpur 27
2.4%
32 Rautahat 0
0%
33 Bara 19
1.7%
34 Parsa 12
1.1%
35 Chitwan 0
0%
36 Gorkha 5
0.4%
37 Lamjung 6
0.5%
38 Tanahun 14
1.3%
39 Syangja 9
0.8%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 10
0.9%
44 Parbat 0
0%
45 Baglung 20
1.8%
46 Gulmi 25
2.2%
47 Palpa 17
1.5%
48 Nawalparasi 70
6.3%
49 Rupandehi 81
7.2%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 19
1.7%
54 Rukum 17
1.5%
55 Salyan 0
0%
56 Dang 39
3.5%
57 Banke 41
3.7%
58 Bardiya 0
0%
59 Surkhet 50
4.5%
60 Dailekh 24
2.1%
61 Jajarkot 8
0.7%
62 Dolpa 0
0%
63 Jumla 14
1.3%
64 Kalikot 13
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 12
1.1%
68 Bajhang 8
0.7%
69 Achham 10
0.9%
70 Doti 9
0.8%
71 Kailali 67
6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 13
1.2%
75 Darchula 9
0.8%
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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