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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_12d (hh wave1)

Overview

Valid: 6000
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 45
0.8%
2 Panchthar 0
0%
3 Ilam 135
2.3%
4 Jhapa 195
3.3%
5 Morang 225
3.8%
6 Sunsari 150
2.5%
7 Dhankuta 75
1.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 90
1.5%
11 Solukhumbu 60
1%
12 Okhaldhunga 60
1%
13 Khotang 105
1.8%
14 Udayapur 120
2%
15 Saptari 150
2.5%
16 Siraha 0
0%
17 Dhanusha 165
2.8%
18 Mahottari 135
2.3%
19 Sarlahi 180
3%
20 Sindhuli 120
2%
21 Ramechhap 0
0%
22 Dolakha 75
1.3%
23 Sindhupalchok 150
2.5%
24 Kabhrepalanchok 150
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 120
2%
29 Rasuwa 0
0%
30 Dhading 180
3%
31 Makwanpur 150
2.5%
32 Rautahat 0
0%
33 Bara 135
2.3%
34 Parsa 105
1.8%
35 Chitwan 0
0%
36 Gorkha 75
1.3%
37 Lamjung 75
1.3%
38 Tanahun 120
2%
39 Syangja 90
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 45
0.8%
44 Parbat 0
0%
45 Baglung 90
1.5%
46 Gulmi 135
2.3%
47 Palpa 90
1.5%
48 Nawalparasi 255
4.3%
49 Rupandehi 270
4.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 90
1.5%
54 Rukum 105
1.8%
55 Salyan 0
0%
56 Dang 180
3%
57 Banke 180
3%
58 Bardiya 0
0%
59 Surkhet 135
2.3%
60 Dailekh 105
1.8%
61 Jajarkot 75
1.3%
62 Dolpa 0
0%
63 Jumla 30
0.5%
64 Kalikot 60
1%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 45
0.8%
68 Bajhang 75
1.3%
69 Achham 105
1.8%
70 Doti 75
1.3%
71 Kailali 270
4.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 90
1.5%
75 Darchula 60
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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