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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_12c

Overview

Valid: 9264
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 66
0.7%
2 Panchthar 0
0%
3 Ilam 271
2.9%
4 Jhapa 452
4.9%
5 Morang 241
2.6%
6 Sunsari 172
1.9%
7 Dhankuta 103
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 105
1.1%
11 Solukhumbu 83
0.9%
12 Okhaldhunga 78
0.8%
13 Khotang 146
1.6%
14 Udayapur 195
2.1%
15 Saptari 154
1.7%
16 Siraha 0
0%
17 Dhanusha 233
2.5%
18 Mahottari 162
1.7%
19 Sarlahi 197
2.1%
20 Sindhuli 142
1.5%
21 Ramechhap 0
0%
22 Dolakha 87
0.9%
23 Sindhupalchok 307
3.3%
24 Kabhrepalanchok 364
3.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 177
1.9%
29 Rasuwa 0
0%
30 Dhading 251
2.7%
31 Makwanpur 351
3.8%
32 Rautahat 0
0%
33 Bara 146
1.6%
34 Parsa 111
1.2%
35 Chitwan 0
0%
36 Gorkha 104
1.1%
37 Lamjung 140
1.5%
38 Tanahun 188
2%
39 Syangja 157
1.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 71
0.8%
44 Parbat 0
0%
45 Baglung 143
1.5%
46 Gulmi 209
2.3%
47 Palpa 172
1.9%
48 Nawalparasi 309
3.3%
49 Rupandehi 398
4.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 104
1.1%
54 Rukum 126
1.4%
55 Salyan 0
0%
56 Dang 339
3.7%
57 Banke 382
4.1%
58 Bardiya 0
0%
59 Surkhet 275
3%
60 Dailekh 169
1.8%
61 Jajarkot 87
0.9%
62 Dolpa 0
0%
63 Jumla 67
0.7%
64 Kalikot 82
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 77
0.8%
68 Bajhang 94
1%
69 Achham 150
1.6%
70 Doti 88
0.9%
71 Kailali 511
5.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 136
1.5%
75 Darchula 92
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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