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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_14a

Overview

Valid: 37037
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 267
0.7%
2 Panchthar 0
0%
3 Ilam 1002
2.7%
4 Jhapa 1376
3.7%
5 Morang 1368
3.7%
6 Sunsari 803
2.2%
7 Dhankuta 530
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 644
1.7%
11 Solukhumbu 376
1%
12 Okhaldhunga 369
1%
13 Khotang 638
1.7%
14 Udayapur 863
2.3%
15 Saptari 682
1.8%
16 Siraha 0
0%
17 Dhanusha 1334
3.6%
18 Mahottari 699
1.9%
19 Sarlahi 929
2.5%
20 Sindhuli 622
1.7%
21 Ramechhap 0
0%
22 Dolakha 398
1.1%
23 Sindhupalchok 911
2.5%
24 Kabhrepalanchok 1061
2.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 582
1.6%
29 Rasuwa 0
0%
30 Dhading 962
2.6%
31 Makwanpur 876
2.4%
32 Rautahat 0
0%
33 Bara 651
1.8%
34 Parsa 528
1.4%
35 Chitwan 0
0%
36 Gorkha 430
1.2%
37 Lamjung 460
1.2%
38 Tanahun 748
2%
39 Syangja 564
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 317
0.9%
44 Parbat 0
0%
45 Baglung 632
1.7%
46 Gulmi 1083
2.9%
47 Palpa 733
2%
48 Nawalparasi 1827
4.9%
49 Rupandehi 2084
5.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 534
1.4%
54 Rukum 664
1.8%
55 Salyan 0
0%
56 Dang 1056
2.9%
57 Banke 1024
2.8%
58 Bardiya 0
0%
59 Surkhet 1106
3%
60 Dailekh 596
1.6%
61 Jajarkot 424
1.1%
62 Dolpa 0
0%
63 Jumla 162
0.4%
64 Kalikot 321
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 264
0.7%
68 Bajhang 293
0.8%
69 Achham 517
1.4%
70 Doti 471
1.3%
71 Kailali 1408
3.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 493
1.3%
75 Darchula 355
1%
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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