Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F370]
central

Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
Get Microdata
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
Page views
133261
Downloads
1162

Name of District (district)

Data file: Section_9a1 (hh wave2)

Overview

Valid: 9744
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 76
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 110
1.1%
2 Panchthar 0
0%
3 Ilam 266
2.7%
4 Jhapa 187
1.9%
5 Morang 118
1.2%
6 Sunsari 92
0.9%
7 Dhankuta 145
1.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 190
1.9%
11 Solukhumbu 99
1%
12 Okhaldhunga 114
1.2%
13 Khotang 205
2.1%
14 Udayapur 217
2.2%
15 Saptari 179
1.8%
16 Siraha 0
0%
17 Dhanusha 192
2%
18 Mahottari 174
1.8%
19 Sarlahi 192
2%
20 Sindhuli 192
2%
21 Ramechhap 0
0%
22 Dolakha 149
1.5%
23 Sindhupalchok 483
5%
24 Kabhrepalanchok 364
3.7%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 234
2.4%
29 Rasuwa 0
0%
30 Dhading 315
3.2%
31 Makwanpur 241
2.5%
32 Rautahat 0
0%
33 Bara 158
1.6%
34 Parsa 171
1.8%
35 Chitwan 0
0%
36 Gorkha 147
1.5%
37 Lamjung 143
1.5%
38 Tanahun 199
2%
39 Syangja 131
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 108
1.1%
44 Parbat 0
0%
45 Baglung 187
1.9%
46 Gulmi 257
2.6%
47 Palpa 131
1.3%
48 Nawalparasi 303
3.1%
49 Rupandehi 241
2.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 303
3.1%
54 Rukum 377
3.9%
55 Salyan 0
0%
56 Dang 233
2.4%
57 Banke 155
1.6%
58 Bardiya 0
0%
59 Surkhet 257
2.6%
60 Dailekh 222
2.3%
61 Jajarkot 294
3%
62 Dolpa 0
0%
63 Jumla 90
0.9%
64 Kalikot 146
1.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 131
1.3%
68 Bajhang 106
1.1%
69 Achham 184
1.9%
70 Doti 115
1.2%
71 Kailali 274
2.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 121
1.2%
75 Darchula 102
1%
76 Other 0
0%
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.
Back to Catalog