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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: 28485
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 138
0.5%
2 Panchthar 0
0%
3 Ilam 666
2.3%
4 Jhapa 845
3%
5 Morang 1119
3.9%
6 Sunsari 712
2.5%
7 Dhankuta 465
1.6%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 585
2.1%
11 Solukhumbu 258
0.9%
12 Okhaldhunga 280
1%
13 Khotang 628
2.2%
14 Udayapur 769
2.7%
15 Saptari 712
2.5%
16 Siraha 0
0%
17 Dhanusha 776
2.7%
18 Mahottari 657
2.3%
19 Sarlahi 834
2.9%
20 Sindhuli 536
1.9%
21 Ramechhap 0
0%
22 Dolakha 382
1.3%
23 Sindhupalchok 669
2.3%
24 Kabhrepalanchok 788
2.8%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 478
1.7%
29 Rasuwa 0
0%
30 Dhading 834
2.9%
31 Makwanpur 692
2.4%
32 Rautahat 0
0%
33 Bara 617
2.2%
34 Parsa 453
1.6%
35 Chitwan 0
0%
36 Gorkha 368
1.3%
37 Lamjung 424
1.5%
38 Tanahun 706
2.5%
39 Syangja 546
1.9%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 240
0.8%
44 Parbat 0
0%
45 Baglung 561
2%
46 Gulmi 927
3.3%
47 Palpa 683
2.4%
48 Nawalparasi 1004
3.5%
49 Rupandehi 1122
3.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 390
1.4%
54 Rukum 547
1.9%
55 Salyan 0
0%
56 Dang 642
2.3%
57 Banke 540
1.9%
58 Bardiya 0
0%
59 Surkhet 969
3.4%
60 Dailekh 567
2%
61 Jajarkot 322
1.1%
62 Dolpa 0
0%
63 Jumla 152
0.5%
64 Kalikot 296
1%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 256
0.9%
68 Bajhang 258
0.9%
69 Achham 330
1.2%
70 Doti 214
0.8%
71 Kailali 935
3.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 322
1.1%
75 Darchula 271
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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