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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_11

Overview

Valid: 5343
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 37
0.7%
2 Panchthar 0
0%
3 Ilam 101
1.9%
4 Jhapa 113
2.1%
5 Morang 133
2.5%
6 Sunsari 76
1.4%
7 Dhankuta 65
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 104
1.9%
11 Solukhumbu 47
0.9%
12 Okhaldhunga 60
1.1%
13 Khotang 133
2.5%
14 Udayapur 127
2.4%
15 Saptari 85
1.6%
16 Siraha 0
0%
17 Dhanusha 125
2.3%
18 Mahottari 96
1.8%
19 Sarlahi 89
1.7%
20 Sindhuli 102
1.9%
21 Ramechhap 0
0%
22 Dolakha 67
1.3%
23 Sindhupalchok 118
2.2%
24 Kabhrepalanchok 157
2.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 91
1.7%
29 Rasuwa 0
0%
30 Dhading 168
3.1%
31 Makwanpur 117
2.2%
32 Rautahat 0
0%
33 Bara 52
1%
34 Parsa 49
0.9%
35 Chitwan 0
0%
36 Gorkha 90
1.7%
37 Lamjung 135
2.5%
38 Tanahun 148
2.8%
39 Syangja 192
3.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 62
1.2%
44 Parbat 0
0%
45 Baglung 132
2.5%
46 Gulmi 209
3.9%
47 Palpa 138
2.6%
48 Nawalparasi 186
3.5%
49 Rupandehi 156
2.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 72
1.3%
54 Rukum 112
2.1%
55 Salyan 0
0%
56 Dang 118
2.2%
57 Banke 126
2.4%
58 Bardiya 0
0%
59 Surkhet 146
2.7%
60 Dailekh 141
2.6%
61 Jajarkot 63
1.2%
62 Dolpa 0
0%
63 Jumla 20
0.4%
64 Kalikot 70
1.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 39
0.7%
68 Bajhang 68
1.3%
69 Achham 118
2.2%
70 Doti 81
1.5%
71 Kailali 245
4.6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 86
1.6%
75 Darchula 78
1.5%
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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