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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_9a2 (hh wave3)

Overview

Valid: 713
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 20
2.8%
2 Panchthar 0
0%
3 Ilam 17
2.4%
4 Jhapa 41
5.8%
5 Morang 29
4.1%
6 Sunsari 23
3.2%
7 Dhankuta 2
0.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 12
1.7%
11 Solukhumbu 7
1%
12 Okhaldhunga 6
0.8%
13 Khotang 25
3.5%
14 Udayapur 15
2.1%
15 Saptari 44
6.2%
16 Siraha 0
0%
17 Dhanusha 6
0.8%
18 Mahottari 15
2.1%
19 Sarlahi 11
1.5%
20 Sindhuli 12
1.7%
21 Ramechhap 0
0%
22 Dolakha 9
1.3%
23 Sindhupalchok 24
3.4%
24 Kabhrepalanchok 27
3.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 10
1.4%
29 Rasuwa 0
0%
30 Dhading 16
2.2%
31 Makwanpur 17
2.4%
32 Rautahat 0
0%
33 Bara 3
0.4%
34 Parsa 4
0.6%
35 Chitwan 0
0%
36 Gorkha 7
1%
37 Lamjung 7
1%
38 Tanahun 12
1.7%
39 Syangja 0
0%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 13
1.8%
46 Gulmi 5
0.7%
47 Palpa 2
0.3%
48 Nawalparasi 40
5.6%
49 Rupandehi 43
6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 1
0.1%
54 Rukum 2
0.3%
55 Salyan 0
0%
56 Dang 52
7.3%
57 Banke 26
3.6%
58 Bardiya 0
0%
59 Surkhet 10
1.4%
60 Dailekh 13
1.8%
61 Jajarkot 0
0%
62 Dolpa 0
0%
63 Jumla 1
0.1%
64 Kalikot 5
0.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 6
0.8%
68 Bajhang 2
0.3%
69 Achham 4
0.6%
70 Doti 3
0.4%
71 Kailali 61
8.6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 3
0.4%
75 Darchula 0
0%
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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