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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_8

Overview

Valid: 3266
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 35
1.1%
2 Panchthar 0
0%
3 Ilam 28
0.9%
4 Jhapa 75
2.3%
5 Morang 171
5.2%
6 Sunsari 112
3.4%
7 Dhankuta 14
0.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 34
1%
11 Solukhumbu 27
0.8%
12 Okhaldhunga 24
0.7%
13 Khotang 30
0.9%
14 Udayapur 40
1.2%
15 Saptari 142
4.3%
16 Siraha 0
0%
17 Dhanusha 93
2.8%
18 Mahottari 106
3.2%
19 Sarlahi 136
4.2%
20 Sindhuli 38
1.2%
21 Ramechhap 0
0%
22 Dolakha 13
0.4%
23 Sindhupalchok 84
2.6%
24 Kabhrepalanchok 69
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 74
2.3%
29 Rasuwa 0
0%
30 Dhading 86
2.6%
31 Makwanpur 98
3%
32 Rautahat 0
0%
33 Bara 113
3.5%
34 Parsa 94
2.9%
35 Chitwan 0
0%
36 Gorkha 29
0.9%
37 Lamjung 31
0.9%
38 Tanahun 42
1.3%
39 Syangja 37
1.1%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 26
0.8%
44 Parbat 0
0%
45 Baglung 29
0.9%
46 Gulmi 49
1.5%
47 Palpa 26
0.8%
48 Nawalparasi 120
3.7%
49 Rupandehi 206
6.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 55
1.7%
54 Rukum 44
1.3%
55 Salyan 0
0%
56 Dang 125
3.8%
57 Banke 114
3.5%
58 Bardiya 0
0%
59 Surkhet 46
1.4%
60 Dailekh 46
1.4%
61 Jajarkot 40
1.2%
62 Dolpa 0
0%
63 Jumla 23
0.7%
64 Kalikot 25
0.8%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 19
0.6%
68 Bajhang 29
0.9%
69 Achham 41
1.3%
70 Doti 33
1%
71 Kailali 222
6.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 39
1.2%
75 Darchula 34
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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