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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_4a

Overview

Valid: 1593
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1
End: 2
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 7
0.4%
2 Panchthar 0
0%
3 Ilam 31
1.9%
4 Jhapa 40
2.5%
5 Morang 54
3.4%
6 Sunsari 37
2.3%
7 Dhankuta 18
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 21
1.3%
11 Solukhumbu 8
0.5%
12 Okhaldhunga 9
0.6%
13 Khotang 27
1.7%
14 Udayapur 30
1.9%
15 Saptari 31
1.9%
16 Siraha 0
0%
17 Dhanusha 33
2.1%
18 Mahottari 23
1.4%
19 Sarlahi 30
1.9%
20 Sindhuli 15
0.9%
21 Ramechhap 0
0%
22 Dolakha 10
0.6%
23 Sindhupalchok 63
4%
24 Kabhrepalanchok 61
3.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 23
1.4%
29 Rasuwa 0
0%
30 Dhading 29
1.8%
31 Makwanpur 64
4%
32 Rautahat 0
0%
33 Bara 16
1%
34 Parsa 18
1.1%
35 Chitwan 0
0%
36 Gorkha 21
1.3%
37 Lamjung 22
1.4%
38 Tanahun 35
2.2%
39 Syangja 31
1.9%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 15
0.9%
44 Parbat 0
0%
45 Baglung 36
2.3%
46 Gulmi 55
3.5%
47 Palpa 37
2.3%
48 Nawalparasi 62
3.9%
49 Rupandehi 61
3.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 45
2.8%
54 Rukum 59
3.7%
55 Salyan 0
0%
56 Dang 79
5%
57 Banke 48
3%
58 Bardiya 0
0%
59 Surkhet 39
2.4%
60 Dailekh 36
2.3%
61 Jajarkot 39
2.4%
62 Dolpa 0
0%
63 Jumla 9
0.6%
64 Kalikot 26
1.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 14
0.9%
68 Bajhang 9
0.6%
69 Achham 8
0.5%
70 Doti 7
0.4%
71 Kailali 92
5.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 6
0.4%
75 Darchula 4
0.3%
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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