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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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Oct 06, 2020
Last modified
Nov 08, 2022
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Name of District (district)

Data file: Section_9a2

Overview

Valid: 1051
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 33
3.1%
2 Panchthar 0
0%
3 Ilam 29
2.8%
4 Jhapa 51
4.9%
5 Morang 29
2.8%
6 Sunsari 26
2.5%
7 Dhankuta 12
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 24
2.3%
11 Solukhumbu 9
0.9%
12 Okhaldhunga 11
1%
13 Khotang 29
2.8%
14 Udayapur 23
2.2%
15 Saptari 44
4.2%
16 Siraha 0
0%
17 Dhanusha 6
0.6%
18 Mahottari 44
4.2%
19 Sarlahi 22
2.1%
20 Sindhuli 25
2.4%
21 Ramechhap 0
0%
22 Dolakha 13
1.2%
23 Sindhupalchok 39
3.7%
24 Kabhrepalanchok 35
3.3%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 16
1.5%
29 Rasuwa 0
0%
30 Dhading 29
2.8%
31 Makwanpur 33
3.1%
32 Rautahat 0
0%
33 Bara 8
0.8%
34 Parsa 4
0.4%
35 Chitwan 0
0%
36 Gorkha 8
0.8%
37 Lamjung 13
1.2%
38 Tanahun 10
1%
39 Syangja 6
0.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 5
0.5%
44 Parbat 0
0%
45 Baglung 18
1.7%
46 Gulmi 14
1.3%
47 Palpa 4
0.4%
48 Nawalparasi 55
5.2%
49 Rupandehi 52
4.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 4
0.4%
54 Rukum 10
1%
55 Salyan 0
0%
56 Dang 64
6.1%
57 Banke 31
2.9%
58 Bardiya 0
0%
59 Surkhet 18
1.7%
60 Dailekh 19
1.8%
61 Jajarkot 3
0.3%
62 Dolpa 0
0%
63 Jumla 2
0.2%
64 Kalikot 7
0.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 8
0.8%
68 Bajhang 2
0.2%
69 Achham 9
0.9%
70 Doti 6
0.6%
71 Kailali 75
7.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 10
1%
75 Darchula 4
0.4%
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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