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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_14c

Overview

Valid: 6873
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 45
0.7%
2 Panchthar 0
0%
3 Ilam 143
2.1%
4 Jhapa 198
2.9%
5 Morang 225
3.3%
6 Sunsari 150
2.2%
7 Dhankuta 91
1.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 120
1.7%
11 Solukhumbu 60
0.9%
12 Okhaldhunga 66
1%
13 Khotang 132
1.9%
14 Udayapur 138
2%
15 Saptari 151
2.2%
16 Siraha 0
0%
17 Dhanusha 168
2.4%
18 Mahottari 135
2%
19 Sarlahi 182
2.6%
20 Sindhuli 124
1.8%
21 Ramechhap 0
0%
22 Dolakha 75
1.1%
23 Sindhupalchok 173
2.5%
24 Kabhrepalanchok 170
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 135
2%
29 Rasuwa 0
0%
30 Dhading 191
2.8%
31 Makwanpur 171
2.5%
32 Rautahat 0
0%
33 Bara 139
2%
34 Parsa 107
1.6%
35 Chitwan 0
0%
36 Gorkha 79
1.1%
37 Lamjung 79
1.1%
38 Tanahun 125
1.8%
39 Syangja 94
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 56
0.8%
44 Parbat 0
0%
45 Baglung 120
1.7%
46 Gulmi 144
2.1%
47 Palpa 110
1.6%
48 Nawalparasi 255
3.7%
49 Rupandehi 270
3.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 102
1.5%
54 Rukum 142
2.1%
55 Salyan 0
0%
56 Dang 185
2.7%
57 Banke 181
2.6%
58 Bardiya 0
0%
59 Surkhet 242
3.5%
60 Dailekh 155
2.3%
61 Jajarkot 93
1.4%
62 Dolpa 0
0%
63 Jumla 105
1.5%
64 Kalikot 189
2.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 132
1.9%
68 Bajhang 83
1.2%
69 Achham 108
1.6%
70 Doti 77
1.1%
71 Kailali 293
4.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 96
1.4%
75 Darchula 69
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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