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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_12c

Overview

Valid: 11949
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 65
0.5%
2 Panchthar 0
0%
3 Ilam 354
3%
4 Jhapa 517
4.3%
5 Morang 485
4.1%
6 Sunsari 339
2.8%
7 Dhankuta 169
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 195
1.6%
11 Solukhumbu 78
0.7%
12 Okhaldhunga 94
0.8%
13 Khotang 225
1.9%
14 Udayapur 232
1.9%
15 Saptari 256
2.1%
16 Siraha 0
0%
17 Dhanusha 311
2.6%
18 Mahottari 204
1.7%
19 Sarlahi 248
2.1%
20 Sindhuli 146
1.2%
21 Ramechhap 0
0%
22 Dolakha 106
0.9%
23 Sindhupalchok 305
2.6%
24 Kabhrepalanchok 307
2.6%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 273
2.3%
29 Rasuwa 0
0%
30 Dhading 327
2.7%
31 Makwanpur 321
2.7%
32 Rautahat 0
0%
33 Bara 194
1.6%
34 Parsa 158
1.3%
35 Chitwan 0
0%
36 Gorkha 165
1.4%
37 Lamjung 148
1.2%
38 Tanahun 231
1.9%
39 Syangja 186
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 92
0.8%
44 Parbat 0
0%
45 Baglung 208
1.7%
46 Gulmi 318
2.7%
47 Palpa 266
2.2%
48 Nawalparasi 549
4.6%
49 Rupandehi 662
5.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 151
1.3%
54 Rukum 215
1.8%
55 Salyan 0
0%
56 Dang 405
3.4%
57 Banke 353
3%
58 Bardiya 0
0%
59 Surkhet 285
2.4%
60 Dailekh 178
1.5%
61 Jajarkot 121
1%
62 Dolpa 0
0%
63 Jumla 68
0.6%
64 Kalikot 87
0.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 91
0.8%
68 Bajhang 108
0.9%
69 Achham 196
1.6%
70 Doti 144
1.2%
71 Kailali 539
4.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 163
1.4%
75 Darchula 111
0.9%
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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