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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_6b

Overview

Valid: 19125
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 109
0.6%
2 Panchthar 0
0%
3 Ilam 361
1.9%
4 Jhapa 544
2.8%
5 Morang 638
3.3%
6 Sunsari 426
2.2%
7 Dhankuta 273
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 378
2%
11 Solukhumbu 138
0.7%
12 Okhaldhunga 133
0.7%
13 Khotang 407
2.1%
14 Udayapur 451
2.4%
15 Saptari 378
2%
16 Siraha 0
0%
17 Dhanusha 450
2.4%
18 Mahottari 295
1.5%
19 Sarlahi 405
2.1%
20 Sindhuli 257
1.3%
21 Ramechhap 0
0%
22 Dolakha 192
1%
23 Sindhupalchok 728
3.8%
24 Kabhrepalanchok 799
4.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 281
1.5%
29 Rasuwa 0
0%
30 Dhading 612
3.2%
31 Makwanpur 610
3.2%
32 Rautahat 0
0%
33 Bara 347
1.8%
34 Parsa 275
1.4%
35 Chitwan 0
0%
36 Gorkha 142
0.7%
37 Lamjung 144
0.8%
38 Tanahun 245
1.3%
39 Syangja 184
1%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 237
1.2%
44 Parbat 0
0%
45 Baglung 522
2.7%
46 Gulmi 649
3.4%
47 Palpa 468
2.4%
48 Nawalparasi 728
3.8%
49 Rupandehi 767
4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 393
2.1%
54 Rukum 529
2.8%
55 Salyan 0
0%
56 Dang 808
4.2%
57 Banke 600
3.1%
58 Bardiya 0
0%
59 Surkhet 499
2.6%
60 Dailekh 351
1.8%
61 Jajarkot 337
1.8%
62 Dolpa 0
0%
63 Jumla 80
0.4%
64 Kalikot 172
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 160
0.8%
68 Bajhang 102
0.5%
69 Achham 122
0.6%
70 Doti 101
0.5%
71 Kailali 1050
5.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 142
0.7%
75 Darchula 106
0.6%
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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