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Household Risk and Vulnerability Survey 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
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Agricultural Surveys
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Oct 06, 2020
Last modified
Nov 08, 2022
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Name of District (district)

Data file: Section_5b

Overview

Valid: 6051
Invalid: 0
Type: Discrete
Decimal: 0
Start: 6
End: 7
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 46
0.8%
2 Panchthar 0
0%
3 Ilam 136
2.2%
4 Jhapa 197
3.3%
5 Morang 225
3.7%
6 Sunsari 150
2.5%
7 Dhankuta 75
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 90
1.5%
11 Solukhumbu 60
1%
12 Okhaldhunga 60
1%
13 Khotang 105
1.7%
14 Udayapur 121
2%
15 Saptari 150
2.5%
16 Siraha 0
0%
17 Dhanusha 165
2.7%
18 Mahottari 135
2.2%
19 Sarlahi 183
3%
20 Sindhuli 120
2%
21 Ramechhap 0
0%
22 Dolakha 75
1.2%
23 Sindhupalchok 152
2.5%
24 Kabhrepalanchok 151
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 123
2%
29 Rasuwa 0
0%
30 Dhading 180
3%
31 Makwanpur 150
2.5%
32 Rautahat 0
0%
33 Bara 136
2.2%
34 Parsa 105
1.7%
35 Chitwan 0
0%
36 Gorkha 75
1.2%
37 Lamjung 76
1.3%
38 Tanahun 121
2%
39 Syangja 90
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 45
0.7%
44 Parbat 0
0%
45 Baglung 90
1.5%
46 Gulmi 137
2.3%
47 Palpa 90
1.5%
48 Nawalparasi 255
4.2%
49 Rupandehi 271
4.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 92
1.5%
54 Rukum 105
1.7%
55 Salyan 0
0%
56 Dang 186
3.1%
57 Banke 190
3.1%
58 Bardiya 0
0%
59 Surkhet 142
2.3%
60 Dailekh 105
1.7%
61 Jajarkot 76
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
0.7%
68 Bajhang 75
1.2%
69 Achham 106
1.8%
70 Doti 76
1.3%
71 Kailali 273
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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