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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_3

Overview

Valid: 27701
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 244
0.9%
2 Panchthar 0
0%
3 Ilam 586
2.1%
4 Jhapa 887
3.2%
5 Morang 893
3.2%
6 Sunsari 682
2.5%
7 Dhankuta 320
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 381
1.4%
11 Solukhumbu 241
0.9%
12 Okhaldhunga 237
0.9%
13 Khotang 494
1.8%
14 Udayapur 501
1.8%
15 Saptari 740
2.7%
16 Siraha 0
0%
17 Dhanusha 713
2.6%
18 Mahottari 726
2.6%
19 Sarlahi 913
3.3%
20 Sindhuli 577
2.1%
21 Ramechhap 0
0%
22 Dolakha 289
1%
23 Sindhupalchok 606
2.2%
24 Kabhrepalanchok 569
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 492
1.8%
29 Rasuwa 0
0%
30 Dhading 760
2.7%
31 Makwanpur 693
2.5%
32 Rautahat 0
0%
33 Bara 719
2.6%
34 Parsa 643
2.3%
35 Chitwan 0
0%
36 Gorkha 281
1%
37 Lamjung 272
1%
38 Tanahun 502
1.8%
39 Syangja 361
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 165
0.6%
44 Parbat 0
0%
45 Baglung 378
1.4%
46 Gulmi 585
2.1%
47 Palpa 351
1.3%
48 Nawalparasi 1175
4.2%
49 Rupandehi 1370
4.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 444
1.6%
54 Rukum 481
1.7%
55 Salyan 0
0%
56 Dang 910
3.3%
57 Banke 851
3.1%
58 Bardiya 0
0%
59 Surkhet 632
2.3%
60 Dailekh 555
2%
61 Jajarkot 439
1.6%
62 Dolpa 0
0%
63 Jumla 139
0.5%
64 Kalikot 353
1.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 230
0.8%
68 Bajhang 460
1.7%
69 Achham 518
1.9%
70 Doti 383
1.4%
71 Kailali 1243
4.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 426
1.5%
75 Darchula 291
1.1%
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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