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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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District name (district)

Data file: Section_4b (community wave1)

Overview

Valid: 1681
Invalid: 0
Type: Discrete
Decimal: 0
Width: 8
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 8
0.5%
2 Panchthar 0
0%
3 Ilam 31
1.8%
4 Jhapa 48
2.9%
5 Morang 50
3%
6 Sunsari 34
2%
7 Dhankuta 15
0.9%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 17
1%
11 Solukhumbu 6
0.4%
12 Okhaldhunga 10
0.6%
13 Khotang 22
1.3%
14 Udayapur 28
1.7%
15 Saptari 27
1.6%
16 Siraha 0
0%
17 Dhanusha 33
2%
18 Mahottari 22
1.3%
19 Sarlahi 26
1.5%
20 Sindhuli 17
1%
21 Ramechhap 0
0%
22 Dolakha 11
0.7%
23 Sindhupalchok 70
4.2%
24 Kabhrepalanchok 67
4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 33
2%
29 Rasuwa 0
0%
30 Dhading 40
2.4%
31 Makwanpur 73
4.3%
32 Rautahat 0
0%
33 Bara 14
0.8%
34 Parsa 14
0.8%
35 Chitwan 0
0%
36 Gorkha 26
1.5%
37 Lamjung 26
1.5%
38 Tanahun 47
2.8%
39 Syangja 35
2.1%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 16
1%
44 Parbat 0
0%
45 Baglung 46
2.7%
46 Gulmi 53
3.2%
47 Palpa 32
1.9%
48 Nawalparasi 57
3.4%
49 Rupandehi 54
3.2%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 39
2.3%
54 Rukum 55
3.3%
55 Salyan 0
0%
56 Dang 97
5.8%
57 Banke 44
2.6%
58 Bardiya 0
0%
59 Surkhet 59
3.5%
60 Dailekh 47
2.8%
61 Jajarkot 36
2.1%
62 Dolpa 0
0%
63 Jumla 11
0.7%
64 Kalikot 34
2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 19
1.1%
68 Bajhang 11
0.7%
69 Achham 7
0.4%
70 Doti 7
0.4%
71 Kailali 97
5.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 6
0.4%
75 Darchula 4
0.2%
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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