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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_7 (hh wave1)

Overview

Valid: 14624
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 168
1.1%
2 Panchthar 0
0%
3 Ilam 386
2.6%
4 Jhapa 491
3.4%
5 Morang 473
3.2%
6 Sunsari 358
2.4%
7 Dhankuta 212
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 276
1.9%
11 Solukhumbu 169
1.2%
12 Okhaldhunga 164
1.1%
13 Khotang 325
2.2%
14 Udayapur 304
2.1%
15 Saptari 328
2.2%
16 Siraha 0
0%
17 Dhanusha 353
2.4%
18 Mahottari 273
1.9%
19 Sarlahi 372
2.5%
20 Sindhuli 421
2.9%
21 Ramechhap 0
0%
22 Dolakha 221
1.5%
23 Sindhupalchok 342
2.3%
24 Kabhrepalanchok 370
2.5%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 210
1.4%
29 Rasuwa 0
0%
30 Dhading 299
2%
31 Makwanpur 389
2.7%
32 Rautahat 0
0%
33 Bara 262
1.8%
34 Parsa 207
1.4%
35 Chitwan 0
0%
36 Gorkha 132
0.9%
37 Lamjung 133
0.9%
38 Tanahun 229
1.6%
39 Syangja 193
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 83
0.6%
44 Parbat 0
0%
45 Baglung 190
1.3%
46 Gulmi 301
2.1%
47 Palpa 189
1.3%
48 Nawalparasi 469
3.2%
49 Rupandehi 599
4.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 256
1.8%
54 Rukum 281
1.9%
55 Salyan 0
0%
56 Dang 593
4.1%
57 Banke 425
2.9%
58 Bardiya 0
0%
59 Surkhet 363
2.5%
60 Dailekh 353
2.4%
61 Jajarkot 193
1.3%
62 Dolpa 0
0%
63 Jumla 114
0.8%
64 Kalikot 242
1.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 181
1.2%
68 Bajhang 178
1.2%
69 Achham 241
1.6%
70 Doti 177
1.2%
71 Kailali 778
5.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 200
1.4%
75 Darchula 158
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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