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Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
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Name of District (district)

Data file: Section_6c (hh wave1)

Overview

Valid: 25807
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 124
0.5%
2 Panchthar 0
0%
3 Ilam 512
2%
4 Jhapa 1242
4.8%
5 Morang 1165
4.5%
6 Sunsari 746
2.9%
7 Dhankuta 302
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 303
1.2%
11 Solukhumbu 213
0.8%
12 Okhaldhunga 228
0.9%
13 Khotang 378
1.5%
14 Udayapur 430
1.7%
15 Saptari 548
2.1%
16 Siraha 0
0%
17 Dhanusha 898
3.5%
18 Mahottari 685
2.7%
19 Sarlahi 879
3.4%
20 Sindhuli 485
1.9%
21 Ramechhap 0
0%
22 Dolakha 296
1.1%
23 Sindhupalchok 529
2%
24 Kabhrepalanchok 648
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 363
1.4%
29 Rasuwa 0
0%
30 Dhading 541
2.1%
31 Makwanpur 610
2.4%
32 Rautahat 0
0%
33 Bara 616
2.4%
34 Parsa 405
1.6%
35 Chitwan 0
0%
36 Gorkha 223
0.9%
37 Lamjung 275
1.1%
38 Tanahun 453
1.8%
39 Syangja 353
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 166
0.6%
44 Parbat 0
0%
45 Baglung 376
1.5%
46 Gulmi 572
2.2%
47 Palpa 453
1.8%
48 Nawalparasi 1378
5.3%
49 Rupandehi 1760
6.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 288
1.1%
54 Rukum 363
1.4%
55 Salyan 0
0%
56 Dang 1035
4%
57 Banke 896
3.5%
58 Bardiya 0
0%
59 Surkhet 492
1.9%
60 Dailekh 328
1.3%
61 Jajarkot 220
0.9%
62 Dolpa 0
0%
63 Jumla 101
0.4%
64 Kalikot 185
0.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 157
0.6%
68 Bajhang 226
0.9%
69 Achham 287
1.1%
70 Doti 203
0.8%
71 Kailali 1420
5.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 263
1%
75 Darchula 188
0.7%
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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