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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_16

Overview

Valid: 28967
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 232
0.8%
2 Panchthar 0
0%
3 Ilam 582
2%
4 Jhapa 872
3%
5 Morang 910
3.1%
6 Sunsari 654
2.3%
7 Dhankuta 344
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 478
1.7%
11 Solukhumbu 274
0.9%
12 Okhaldhunga 245
0.8%
13 Khotang 549
1.9%
14 Udayapur 582
2%
15 Saptari 745
2.6%
16 Siraha 0
0%
17 Dhanusha 767
2.6%
18 Mahottari 746
2.6%
19 Sarlahi 945
3.3%
20 Sindhuli 638
2.2%
21 Ramechhap 0
0%
22 Dolakha 301
1%
23 Sindhupalchok 606
2.1%
24 Kabhrepalanchok 579
2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 530
1.8%
29 Rasuwa 0
0%
30 Dhading 762
2.6%
31 Makwanpur 671
2.3%
32 Rautahat 0
0%
33 Bara 760
2.6%
34 Parsa 669
2.3%
35 Chitwan 0
0%
36 Gorkha 330
1.1%
37 Lamjung 349
1.2%
38 Tanahun 570
2%
39 Syangja 453
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 206
0.7%
44 Parbat 0
0%
45 Baglung 450
1.6%
46 Gulmi 663
2.3%
47 Palpa 392
1.4%
48 Nawalparasi 1183
4.1%
49 Rupandehi 1391
4.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 443
1.5%
54 Rukum 465
1.6%
55 Salyan 0
0%
56 Dang 848
2.9%
57 Banke 783
2.7%
58 Bardiya 0
0%
59 Surkhet 669
2.3%
60 Dailekh 580
2%
61 Jajarkot 418
1.4%
62 Dolpa 0
0%
63 Jumla 152
0.5%
64 Kalikot 356
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 250
0.9%
68 Bajhang 507
1.8%
69 Achham 565
2%
70 Doti 419
1.4%
71 Kailali 1236
4.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 490
1.7%
75 Darchula 358
1.2%
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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