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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_3b

Overview

Valid: 866
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 3
0.3%
2 Panchthar 0
0%
3 Ilam 13
1.5%
4 Jhapa 15
1.7%
5 Morang 24
2.8%
6 Sunsari 12
1.4%
7 Dhankuta 13
1.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 13
1.5%
11 Solukhumbu 8
0.9%
12 Okhaldhunga 5
0.6%
13 Khotang 14
1.6%
14 Udayapur 20
2.3%
15 Saptari 13
1.5%
16 Siraha 0
0%
17 Dhanusha 17
2%
18 Mahottari 21
2.4%
19 Sarlahi 25
2.9%
20 Sindhuli 14
1.6%
21 Ramechhap 0
0%
22 Dolakha 8
0.9%
23 Sindhupalchok 20
2.3%
24 Kabhrepalanchok 22
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 21
2.4%
29 Rasuwa 0
0%
30 Dhading 29
3.3%
31 Makwanpur 25
2.9%
32 Rautahat 0
0%
33 Bara 15
1.7%
34 Parsa 14
1.6%
35 Chitwan 0
0%
36 Gorkha 12
1.4%
37 Lamjung 17
2%
38 Tanahun 23
2.7%
39 Syangja 13
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 6
0.7%
44 Parbat 0
0%
45 Baglung 13
1.5%
46 Gulmi 24
2.8%
47 Palpa 11
1.3%
48 Nawalparasi 33
3.8%
49 Rupandehi 27
3.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 11
1.3%
54 Rukum 13
1.5%
55 Salyan 0
0%
56 Dang 31
3.6%
57 Banke 23
2.7%
58 Bardiya 0
0%
59 Surkhet 31
3.6%
60 Dailekh 21
2.4%
61 Jajarkot 8
0.9%
62 Dolpa 0
0%
63 Jumla 4
0.5%
64 Kalikot 8
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 13
1.5%
68 Bajhang 25
2.9%
69 Achham 28
3.2%
70 Doti 18
2.1%
71 Kailali 33
3.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 22
2.5%
75 Darchula 14
1.6%
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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