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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
Collections
Agricultural Surveys
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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District name (district)

Data file: Section_3a

Overview

Valid: 2636
Invalid: 0
Type: Discrete
Decimal: 0
Start: 4
End: 5
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 10
0.4%
2 Panchthar 0
0%
3 Ilam 63
2.4%
4 Jhapa 115
4.4%
5 Morang 70
2.7%
6 Sunsari 39
1.5%
7 Dhankuta 29
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 30
1.1%
11 Solukhumbu 22
0.8%
12 Okhaldhunga 22
0.8%
13 Khotang 39
1.5%
14 Udayapur 49
1.9%
15 Saptari 67
2.5%
16 Siraha 0
0%
17 Dhanusha 76
2.9%
18 Mahottari 99
3.8%
19 Sarlahi 141
5.3%
20 Sindhuli 46
1.7%
21 Ramechhap 0
0%
22 Dolakha 23
0.9%
23 Sindhupalchok 51
1.9%
24 Kabhrepalanchok 55
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 40
1.5%
29 Rasuwa 0
0%
30 Dhading 58
2.2%
31 Makwanpur 55
2.1%
32 Rautahat 0
0%
33 Bara 92
3.5%
34 Parsa 73
2.8%
35 Chitwan 0
0%
36 Gorkha 21
0.8%
37 Lamjung 33
1.3%
38 Tanahun 65
2.5%
39 Syangja 34
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 12
0.5%
44 Parbat 0
0%
45 Baglung 26
1%
46 Gulmi 47
1.8%
47 Palpa 23
0.9%
48 Nawalparasi 92
3.5%
49 Rupandehi 126
4.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 41
1.6%
54 Rukum 38
1.4%
55 Salyan 0
0%
56 Dang 111
4.2%
57 Banke 96
3.6%
58 Bardiya 0
0%
59 Surkhet 71
2.7%
60 Dailekh 51
1.9%
61 Jajarkot 24
0.9%
62 Dolpa 0
0%
63 Jumla 11
0.4%
64 Kalikot 21
0.8%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 11
0.4%
68 Bajhang 30
1.1%
69 Achham 37
1.4%
70 Doti 30
1.1%
71 Kailali 161
6.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 37
1.4%
75 Darchula 23
0.9%
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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