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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: 834
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 13
1.6%
2 Panchthar 0
0%
3 Ilam 19
2.3%
4 Jhapa 31
3.7%
5 Morang 48
5.8%
6 Sunsari 32
3.8%
7 Dhankuta 7
0.8%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 6
0.7%
11 Solukhumbu 17
2%
12 Okhaldhunga 15
1.8%
13 Khotang 7
0.8%
14 Udayapur 18
2.2%
15 Saptari 30
3.6%
16 Siraha 0
0%
17 Dhanusha 13
1.6%
18 Mahottari 18
2.2%
19 Sarlahi 21
2.5%
20 Sindhuli 32
3.8%
21 Ramechhap 0
0%
22 Dolakha 23
2.8%
23 Sindhupalchok 14
1.7%
24 Kabhrepalanchok 11
1.3%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 23
2.8%
29 Rasuwa 0
0%
30 Dhading 37
4.4%
31 Makwanpur 10
1.2%
32 Rautahat 0
0%
33 Bara 11
1.3%
34 Parsa 7
0.8%
35 Chitwan 0
0%
36 Gorkha 5
0.6%
37 Lamjung 5
0.6%
38 Tanahun 8
1%
39 Syangja 6
0.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 3
0.4%
44 Parbat 0
0%
45 Baglung 6
0.7%
46 Gulmi 9
1.1%
47 Palpa 6
0.7%
48 Nawalparasi 48
5.8%
49 Rupandehi 40
4.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 33
4%
54 Rukum 40
4.8%
55 Salyan 0
0%
56 Dang 13
1.6%
57 Banke 12
1.4%
58 Bardiya 0
0%
59 Surkhet 16
1.9%
60 Dailekh 18
2.2%
61 Jajarkot 24
2.9%
62 Dolpa 0
0%
63 Jumla 3
0.4%
64 Kalikot 18
2.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 3
0.4%
68 Bajhang 7
0.8%
69 Achham 7
0.8%
70 Doti 7
0.8%
71 Kailali 21
2.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 6
0.7%
75 Darchula 7
0.8%
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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