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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
Collections
Agricultural Surveys
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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District name (district)

Data file: Section_5

Overview

Valid: 10630
Invalid: 0
Type: Discrete
Decimal: 0
Start: 4
End: 5
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 66
0.6%
2 Panchthar 0
0%
3 Ilam 218
2.1%
4 Jhapa 305
2.9%
5 Morang 824
7.8%
6 Sunsari 511
4.8%
7 Dhankuta 76
0.7%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 100
0.9%
11 Solukhumbu 154
1.4%
12 Okhaldhunga 201
1.9%
13 Khotang 97
0.9%
14 Udayapur 121
1.1%
15 Saptari 484
4.6%
16 Siraha 0
0%
17 Dhanusha 168
1.6%
18 Mahottari 358
3.4%
19 Sarlahi 477
4.5%
20 Sindhuli 387
3.6%
21 Ramechhap 0
0%
22 Dolakha 197
1.9%
23 Sindhupalchok 400
3.8%
24 Kabhrepalanchok 409
3.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 319
3%
29 Rasuwa 0
0%
30 Dhading 257
2.4%
31 Makwanpur 407
3.8%
32 Rautahat 0
0%
33 Bara 355
3.3%
34 Parsa 278
2.6%
35 Chitwan 0
0%
36 Gorkha 72
0.7%
37 Lamjung 75
0.7%
38 Tanahun 112
1.1%
39 Syangja 97
0.9%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 29
0.3%
44 Parbat 0
0%
45 Baglung 67
0.6%
46 Gulmi 92
0.9%
47 Palpa 74
0.7%
48 Nawalparasi 364
3.4%
49 Rupandehi 309
2.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 85
0.8%
54 Rukum 75
0.7%
55 Salyan 0
0%
56 Dang 129
1.2%
57 Banke 78
0.7%
58 Bardiya 0
0%
59 Surkhet 215
2%
60 Dailekh 94
0.9%
61 Jajarkot 145
1.4%
62 Dolpa 0
0%
63 Jumla 28
0.3%
64 Kalikot 95
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 112
1.1%
68 Bajhang 154
1.4%
69 Achham 309
2.9%
70 Doti 164
1.5%
71 Kailali 190
1.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 204
1.9%
75 Darchula 93
0.9%
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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