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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_12b (hh wave1)

Overview

Valid: 392
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 1
0.3%
2 Panchthar 0
0%
3 Ilam 6
1.5%
4 Jhapa 0
0%
5 Morang 0
0%
6 Sunsari 3
0.8%
7 Dhankuta 14
3.6%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 17
4.3%
11 Solukhumbu 2
0.5%
12 Okhaldhunga 1
0.3%
13 Khotang 29
7.4%
14 Udayapur 19
4.8%
15 Saptari 5
1.3%
16 Siraha 0
0%
17 Dhanusha 1
0.3%
18 Mahottari 0
0%
19 Sarlahi 0
0%
20 Sindhuli 2
0.5%
21 Ramechhap 0
0%
22 Dolakha 3
0.8%
23 Sindhupalchok 21
5.4%
24 Kabhrepalanchok 23
5.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 2
0.5%
29 Rasuwa 0
0%
30 Dhading 2
0.5%
31 Makwanpur 22
5.6%
32 Rautahat 0
0%
33 Bara 3
0.8%
34 Parsa 2
0.5%
35 Chitwan 0
0%
36 Gorkha 1
0.3%
37 Lamjung 6
1.5%
38 Tanahun 0
0%
39 Syangja 0
0%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 7
1.8%
44 Parbat 0
0%
45 Baglung 5
1.3%
46 Gulmi 11
2.8%
47 Palpa 12
3.1%
48 Nawalparasi 0
0%
49 Rupandehi 1
0.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 18
4.6%
54 Rukum 42
10.7%
55 Salyan 0
0%
56 Dang 13
3.3%
57 Banke 4
1%
58 Bardiya 0
0%
59 Surkhet 17
4.3%
60 Dailekh 9
2.3%
61 Jajarkot 13
3.3%
62 Dolpa 0
0%
63 Jumla 0
0%
64 Kalikot 9
2.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 2
0.5%
68 Bajhang 0
0%
69 Achham 0
0%
70 Doti 7
1.8%
71 Kailali 30
7.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 3
0.8%
75 Darchula 4
1%
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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