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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
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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_12b

Overview

Valid: 443
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 0
0%
2 Panchthar 0
0%
3 Ilam 9
2%
4 Jhapa 8
1.8%
5 Morang 2
0.5%
6 Sunsari 5
1.1%
7 Dhankuta 11
2.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 20
4.5%
11 Solukhumbu 4
0.9%
12 Okhaldhunga 2
0.5%
13 Khotang 38
8.6%
14 Udayapur 30
6.8%
15 Saptari 4
0.9%
16 Siraha 0
0%
17 Dhanusha 1
0.2%
18 Mahottari 2
0.5%
19 Sarlahi 1
0.2%
20 Sindhuli 4
0.9%
21 Ramechhap 0
0%
22 Dolakha 3
0.7%
23 Sindhupalchok 12
2.7%
24 Kabhrepalanchok 21
4.7%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 4
0.9%
29 Rasuwa 0
0%
30 Dhading 8
1.8%
31 Makwanpur 29
6.5%
32 Rautahat 0
0%
33 Bara 3
0.7%
34 Parsa 0
0%
35 Chitwan 0
0%
36 Gorkha 3
0.7%
37 Lamjung 6
1.4%
38 Tanahun 2
0.5%
39 Syangja 3
0.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 6
1.4%
46 Gulmi 14
3.2%
47 Palpa 16
3.6%
48 Nawalparasi 1
0.2%
49 Rupandehi 6
1.4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 15
3.4%
54 Rukum 38
8.6%
55 Salyan 0
0%
56 Dang 9
2%
57 Banke 9
2%
58 Bardiya 0
0%
59 Surkhet 18
4.1%
60 Dailekh 8
1.8%
61 Jajarkot 8
1.8%
62 Dolpa 0
0%
63 Jumla 0
0%
64 Kalikot 2
0.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 1
0.2%
68 Bajhang 3
0.7%
69 Achham 4
0.9%
70 Doti 4
0.9%
71 Kailali 38
8.6%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 2
0.5%
75 Darchula 6
1.4%
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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