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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_2

Overview

Valid: 26428
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 229
0.9%
2 Panchthar 0
0%
3 Ilam 555
2.1%
4 Jhapa 855
3.2%
5 Morang 848
3.2%
6 Sunsari 644
2.4%
7 Dhankuta 302
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 368
1.4%
11 Solukhumbu 229
0.9%
12 Okhaldhunga 228
0.9%
13 Khotang 458
1.7%
14 Udayapur 473
1.8%
15 Saptari 709
2.7%
16 Siraha 0
0%
17 Dhanusha 682
2.6%
18 Mahottari 688
2.6%
19 Sarlahi 875
3.3%
20 Sindhuli 554
2.1%
21 Ramechhap 0
0%
22 Dolakha 276
1%
23 Sindhupalchok 580
2.2%
24 Kabhrepalanchok 551
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 482
1.8%
29 Rasuwa 0
0%
30 Dhading 722
2.7%
31 Makwanpur 651
2.5%
32 Rautahat 0
0%
33 Bara 708
2.7%
34 Parsa 628
2.4%
35 Chitwan 0
0%
36 Gorkha 277
1%
37 Lamjung 261
1%
38 Tanahun 474
1.8%
39 Syangja 345
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 159
0.6%
44 Parbat 0
0%
45 Baglung 364
1.4%
46 Gulmi 549
2.1%
47 Palpa 329
1.2%
48 Nawalparasi 1133
4.3%
49 Rupandehi 1330
5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 415
1.6%
54 Rukum 457
1.7%
55 Salyan 0
0%
56 Dang 861
3.3%
57 Banke 806
3%
58 Bardiya 0
0%
59 Surkhet 600
2.3%
60 Dailekh 514
1.9%
61 Jajarkot 414
1.6%
62 Dolpa 0
0%
63 Jumla 135
0.5%
64 Kalikot 332
1.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 218
0.8%
68 Bajhang 428
1.6%
69 Achham 487
1.8%
70 Doti 357
1.4%
71 Kailali 1194
4.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 414
1.6%
75 Darchula 280
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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