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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_9d

Overview

Valid: 10501
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 114
1.1%
2 Panchthar 0
0%
3 Ilam 273
2.6%
4 Jhapa 315
3%
5 Morang 162
1.5%
6 Sunsari 161
1.5%
7 Dhankuta 221
2.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 319
3%
11 Solukhumbu 110
1%
12 Okhaldhunga 147
1.4%
13 Khotang 309
2.9%
14 Udayapur 311
3%
15 Saptari 162
1.5%
16 Siraha 0
0%
17 Dhanusha 139
1.3%
18 Mahottari 119
1.1%
19 Sarlahi 142
1.4%
20 Sindhuli 272
2.6%
21 Ramechhap 0
0%
22 Dolakha 175
1.7%
23 Sindhupalchok 302
2.9%
24 Kabhrepalanchok 329
3.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 195
1.9%
29 Rasuwa 0
0%
30 Dhading 322
3.1%
31 Makwanpur 344
3.3%
32 Rautahat 0
0%
33 Bara 101
1%
34 Parsa 104
1%
35 Chitwan 0
0%
36 Gorkha 141
1.3%
37 Lamjung 129
1.2%
38 Tanahun 209
2%
39 Syangja 190
1.8%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 107
1%
44 Parbat 0
0%
45 Baglung 232
2.2%
46 Gulmi 346
3.3%
47 Palpa 202
1.9%
48 Nawalparasi 287
2.7%
49 Rupandehi 296
2.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 197
1.9%
54 Rukum 273
2.6%
55 Salyan 0
0%
56 Dang 302
2.9%
57 Banke 180
1.7%
58 Bardiya 0
0%
59 Surkhet 309
2.9%
60 Dailekh 258
2.5%
61 Jajarkot 223
2.1%
62 Dolpa 0
0%
63 Jumla 46
0.4%
64 Kalikot 121
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 83
0.8%
68 Bajhang 161
1.5%
69 Achham 184
1.8%
70 Doti 134
1.3%
71 Kailali 400
3.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 202
1.9%
75 Darchula 141
1.3%
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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