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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_9b1

Overview

Valid: 10177
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 125
1.2%
2 Panchthar 0
0%
3 Ilam 330
3.2%
4 Jhapa 183
1.8%
5 Morang 104
1%
6 Sunsari 87
0.9%
7 Dhankuta 211
2.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 317
3.1%
11 Solukhumbu 130
1.3%
12 Okhaldhunga 152
1.5%
13 Khotang 277
2.7%
14 Udayapur 226
2.2%
15 Saptari 94
0.9%
16 Siraha 0
0%
17 Dhanusha 115
1.1%
18 Mahottari 82
0.8%
19 Sarlahi 108
1.1%
20 Sindhuli 263
2.6%
21 Ramechhap 0
0%
22 Dolakha 216
2.1%
23 Sindhupalchok 313
3.1%
24 Kabhrepalanchok 281
2.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 231
2.3%
29 Rasuwa 0
0%
30 Dhading 309
3%
31 Makwanpur 288
2.8%
32 Rautahat 0
0%
33 Bara 81
0.8%
34 Parsa 77
0.8%
35 Chitwan 0
0%
36 Gorkha 95
0.9%
37 Lamjung 75
0.7%
38 Tanahun 131
1.3%
39 Syangja 106
1%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 122
1.2%
44 Parbat 0
0%
45 Baglung 246
2.4%
46 Gulmi 364
3.6%
47 Palpa 210
2.1%
48 Nawalparasi 205
2%
49 Rupandehi 210
2.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 332
3.3%
54 Rukum 317
3.1%
55 Salyan 0
0%
56 Dang 185
1.8%
57 Banke 140
1.4%
58 Bardiya 0
0%
59 Surkhet 263
2.6%
60 Dailekh 317
3.1%
61 Jajarkot 291
2.9%
62 Dolpa 0
0%
63 Jumla 120
1.2%
64 Kalikot 190
1.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 134
1.3%
68 Bajhang 176
1.7%
69 Achham 382
3.8%
70 Doti 368
3.6%
71 Kailali 202
2%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 251
2.5%
75 Darchula 145
1.4%
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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