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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_9b1 (hh wave2)

Overview

Valid: 12063
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 109
0.9%
2 Panchthar 0
0%
3 Ilam 413
3.4%
4 Jhapa 225
1.9%
5 Morang 234
1.9%
6 Sunsari 152
1.3%
7 Dhankuta 282
2.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 333
2.8%
11 Solukhumbu 166
1.4%
12 Okhaldhunga 180
1.5%
13 Khotang 393
3.3%
14 Udayapur 306
2.5%
15 Saptari 161
1.3%
16 Siraha 0
0%
17 Dhanusha 167
1.4%
18 Mahottari 174
1.4%
19 Sarlahi 228
1.9%
20 Sindhuli 364
3%
21 Ramechhap 0
0%
22 Dolakha 206
1.7%
23 Sindhupalchok 302
2.5%
24 Kabhrepalanchok 248
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 361
3%
29 Rasuwa 0
0%
30 Dhading 602
5%
31 Makwanpur 298
2.5%
32 Rautahat 0
0%
33 Bara 136
1.1%
34 Parsa 105
0.9%
35 Chitwan 0
0%
36 Gorkha 145
1.2%
37 Lamjung 168
1.4%
38 Tanahun 201
1.7%
39 Syangja 187
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 126
1%
44 Parbat 0
0%
45 Baglung 178
1.5%
46 Gulmi 392
3.2%
47 Palpa 228
1.9%
48 Nawalparasi 260
2.2%
49 Rupandehi 271
2.2%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 251
2.1%
54 Rukum 388
3.2%
55 Salyan 0
0%
56 Dang 271
2.2%
57 Banke 222
1.8%
58 Bardiya 0
0%
59 Surkhet 311
2.6%
60 Dailekh 285
2.4%
61 Jajarkot 351
2.9%
62 Dolpa 0
0%
63 Jumla 95
0.8%
64 Kalikot 213
1.8%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 131
1.1%
68 Bajhang 159
1.3%
69 Achham 265
2.2%
70 Doti 159
1.3%
71 Kailali 286
2.4%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 193
1.6%
75 Darchula 182
1.5%
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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