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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_1 (community wave2)

Overview

Valid: 1890
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 13
0.7%
2 Panchthar 0
0%
3 Ilam 46
2.4%
4 Jhapa 79
4.2%
5 Morang 15
0.8%
6 Sunsari 10
0.5%
7 Dhankuta 26
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 30
1.6%
11 Solukhumbu 21
1.1%
12 Okhaldhunga 20
1.1%
13 Khotang 41
2.2%
14 Udayapur 38
2%
15 Saptari 10
0.5%
16 Siraha 0
0%
17 Dhanusha 45
2.4%
18 Mahottari 47
2.5%
19 Sarlahi 61
3.2%
20 Sindhuli 40
2.1%
21 Ramechhap 0
0%
22 Dolakha 25
1.3%
23 Sindhupalchok 55
2.9%
24 Kabhrepalanchok 59
3.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 44
2.3%
29 Rasuwa 0
0%
30 Dhading 69
3.7%
31 Makwanpur 62
3.3%
32 Rautahat 0
0%
33 Bara 45
2.4%
34 Parsa 35
1.9%
35 Chitwan 0
0%
36 Gorkha 22
1.2%
37 Lamjung 24
1.3%
38 Tanahun 40
2.1%
39 Syangja 29
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 12
0.6%
44 Parbat 0
0%
45 Baglung 35
1.9%
46 Gulmi 58
3.1%
47 Palpa 35
1.9%
48 Nawalparasi 78
4.1%
49 Rupandehi 81
4.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 37
2%
54 Rukum 43
2.3%
55 Salyan 0
0%
56 Dang 42
2.2%
57 Banke 60
3.2%
58 Bardiya 0
0%
59 Surkhet 35
1.9%
60 Dailekh 26
1.4%
61 Jajarkot 38
2%
62 Dolpa 0
0%
63 Jumla 6
0.3%
64 Kalikot 12
0.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 13
0.7%
68 Bajhang 28
1.5%
69 Achham 30
1.6%
70 Doti 24
1.3%
71 Kailali 90
4.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 34
1.8%
75 Darchula 22
1.2%
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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