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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_6c

Overview

Valid: 27545
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 154
0.6%
2 Panchthar 0
0%
3 Ilam 574
2.1%
4 Jhapa 1290
4.7%
5 Morang 1232
4.5%
6 Sunsari 856
3.1%
7 Dhankuta 272
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 294
1.1%
11 Solukhumbu 258
0.9%
12 Okhaldhunga 249
0.9%
13 Khotang 363
1.3%
14 Udayapur 483
1.8%
15 Saptari 666
2.4%
16 Siraha 0
0%
17 Dhanusha 936
3.4%
18 Mahottari 765
2.8%
19 Sarlahi 986
3.6%
20 Sindhuli 469
1.7%
21 Ramechhap 0
0%
22 Dolakha 292
1.1%
23 Sindhupalchok 499
1.8%
24 Kabhrepalanchok 603
2.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 477
1.7%
29 Rasuwa 0
0%
30 Dhading 662
2.4%
31 Makwanpur 625
2.3%
32 Rautahat 0
0%
33 Bara 729
2.6%
34 Parsa 515
1.9%
35 Chitwan 0
0%
36 Gorkha 283
1%
37 Lamjung 342
1.2%
38 Tanahun 520
1.9%
39 Syangja 392
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 181
0.7%
44 Parbat 0
0%
45 Baglung 376
1.4%
46 Gulmi 561
2%
47 Palpa 457
1.7%
48 Nawalparasi 1620
5.9%
49 Rupandehi 1801
6.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 328
1.2%
54 Rukum 363
1.3%
55 Salyan 0
0%
56 Dang 909
3.3%
57 Banke 814
3%
58 Bardiya 0
0%
59 Surkhet 539
2%
60 Dailekh 346
1.3%
61 Jajarkot 238
0.9%
62 Dolpa 0
0%
63 Jumla 113
0.4%
64 Kalikot 177
0.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 145
0.5%
68 Bajhang 252
0.9%
69 Achham 310
1.1%
70 Doti 252
0.9%
71 Kailali 1418
5.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 317
1.2%
75 Darchula 242
0.9%
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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