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    Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F356]
central

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
Page views
106983
Downloads
851
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section_0
    (community
    wave1)
  • Section_1
    (community
    wave1)
  • Section_2
    (community
    wave1)
  • Section_3a
    (community
    wave1)
  • Section_3b
    (community
    wave1)
  • Section_4a
    (community
    wave1)
  • Section_4b
    (community
    wave1)
  • Section_5
    (community
    wave1)
  • Section_0 (hh
    wave1)
  • Section_1 (hh
    wave1)
  • Section_2 (hh
    wave1)
  • Section_3 (hh
    wave1)
  • Section_4 (hh
    wave1)
  • Section_5a (hh
    wave1)
  • Section_5b (hh
    wave1)
  • Section_6a (hh
    wave1)
  • Section_6b (hh
    wave1)
  • Section_6c (hh
    wave1)
  • Section_6d (hh
    wave1)
  • Section_7 (hh
    wave1)
  • Section_8 (hh
    wave1)
  • Section_9a1 (hh
    wave1)
  • Section_9a2 (hh
    wave1)
  • Section_9a3 (hh
    wave1)
  • Section_9a4 (hh
    wave1)
  • Section_9b1 (hh
    wave1)
  • Section_9b2 (hh
    wave1)
  • Section_9c (hh
    wave1)
  • Section_9d (hh
    wave1)
  • Section_9e (hh
    wave1)
  • Section_9f (hh
    wave1)
  • Section_10 (hh
    wave1)
  • Section_11 (hh
    wave1)
  • Section_12a (hh
    wave1)
  • Section_12b (hh
    wave1)
  • Section_12c (hh
    wave1)
  • Section_12d (hh
    wave1)
  • Section_13a (hh
    wave1)
  • Section_13b (hh
    wave1)
  • Section_13c (hh
    wave1)
  • Section_13d (hh
    wave1)
  • Section_14a (hh
    wave1)
  • Section_14b (hh
    wave1)
  • Section_14c (hh
    wave1)
  • Section_15a (hh
    wave1)
  • Section_15b (hh
    wave1)
  • Section_16 (hh
    wave1)
  • Section_17 (hh
    wave1)
  • Section_0
    (community
    wave2)
  • Section_1
    (community
    wave2)
  • Section_2
    (community
    wave2)
  • Section_3a
    (community
    wave2)
  • Section_3b
    (community
    wave2)
  • Section_4a
    (community
    wave2)
  • Section_4b
    (community
    wave2)
  • Section_5
    (community
    wave2)
  • Section_0 (hh
    wave2)
  • Section_1 (hh
    wave2)
  • Section_2 (hh
    wave2)
  • Section_3 (hh
    wave2)
  • Section_4 (hh
    wave2)
  • Section_5a (hh
    wave2)
  • Section_5b (hh
    wave2)
  • Section_6a (hh
    wave2)
  • Section_6b (hh
    wave2)
  • Section_6c (hh
    wave2)
  • Section_6d (hh
    wave2)
  • Section_7 (hh
    wave2)
  • Section_8 (hh
    wave2)
  • Section_9a1 (hh
    wave2)
  • Section_9a2 (hh
    wave2)
  • Section_9a3 (hh
    wave2)
  • Section_9a4 (hh
    wave2)
  • Section_9b1 (hh
    wave2)
  • Section_9b2 (hh
    wave2)
  • Section_9c (hh
    wave2)
  • Section_9d (hh
    wave2)
  • Section_9e (hh
    wave2)
  • Section_9f (hh
    wave2)
  • Section_10 (hh
    wave2)
  • Section_11 (hh
    wave2)
  • Section_12a (hh
    wave2)
  • Section_12b (hh
    wave2)
  • Section_12c (hh
    wave2)
  • Section_12d (hh
    wave2)
  • Section_13a (hh
    wave2)
  • Section_13b (hh
    wave2)
  • Section_13c (hh
    wave2)
  • Section_13d (hh
    wave2)
  • Section_14a (hh
    wave2)
  • Section_14b (hh
    wave2)
  • Section_14c (hh
    wave2)
  • Section_15a (hh
    wave2)
  • Section_15b (hh
    wave2)
  • Section_16 (hh
    wave2)
  • Section_17 (hh
    wave2)
  • Section_0
    (community
    wave3)
  • Section_1
    (community
    wave3)
  • Section_2
    (community
    wave3)
  • Section_3a
    (community
    wave3)
  • Section_3b
    (community
    wave3)
  • Section_4a
    (community
    wave3)
  • Section_4b
    (community
    wave3)
  • Section_5
    (community
    wave3)
  • Section_0 (hh
    wave3)
  • Section_1 (hh
    wave3)
  • Section_2 (hh
    wave3)
  • Section_3 (hh
    wave3)
  • Section_4 (hh
    wave3)
  • Section_5a (hh
    wave3)
  • Section_5b (hh
    wave3)
  • Section_6a (hh
    wave3)
  • Section_6b (hh
    wave3)
  • Section_6c (hh
    wave3)
  • Section_6d (hh
    wave3)
  • Section_7 (hh
    wave3)
  • Section_8 (hh
    wave3)
  • Section_9a1 (hh
    wave3)
  • Section_9a2 (hh
    wave3)
  • Section_9a3 (hh
    wave3)
  • Section_9a4 (hh
    wave3)
  • Section_9b1 (hh
    wave3)
  • Section_9b2 (hh
    wave3)
  • Section_9c (hh
    wave3)
  • Section_9d (hh
    wave3)
  • Section_9e (hh
    wave3)
  • Section_9f (hh
    wave3)
  • Section_10 (hh
    wave3)
  • Section_11 (hh
    wave3)
  • Section_11a (hh
    wave3)
  • Section_12a (hh
    wave3)
  • Section_12b (hh
    wave3)
  • Section_12c (hh
    wave3)
  • Section_12d (hh
    wave3)
  • Section_13a (hh
    wave3)
  • Section_13b (hh
    wave3)
  • Section_13c (hh
    wave3)
  • Section_13d (hh
    wave3)
  • Section_14a (hh
    wave3)
  • Section_14b (hh
    wave3)
  • Section_14c (hh
    wave3)
  • Section_15a (hh
    wave3)
  • Section_15b (hh
    wave3)
  • Section_16 (hh
    wave3)
  • Section_17 (hh
    wave3)

District name (district)

Data file: Section_5 (community wave2)

Overview

Valid: 10517
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 56
0.5%
2 Panchthar 0
0%
3 Ilam 146
1.4%
4 Jhapa 207
2%
5 Morang 501
4.8%
6 Sunsari 399
3.8%
7 Dhankuta 101
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 109
1%
11 Solukhumbu 116
1.1%
12 Okhaldhunga 107
1%
13 Khotang 117
1.1%
14 Udayapur 170
1.6%
15 Saptari 264
2.5%
16 Siraha 0
0%
17 Dhanusha 284
2.7%
18 Mahottari 328
3.1%
19 Sarlahi 429
4.1%
20 Sindhuli 210
2%
21 Ramechhap 0
0%
22 Dolakha 95
0.9%
23 Sindhupalchok 332
3.2%
24 Kabhrepalanchok 341
3.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 229
2.2%
29 Rasuwa 0
0%
30 Dhading 393
3.7%
31 Makwanpur 332
3.2%
32 Rautahat 0
0%
33 Bara 282
2.7%
34 Parsa 220
2.1%
35 Chitwan 0
0%
36 Gorkha 103
1%
37 Lamjung 83
0.8%
38 Tanahun 174
1.7%
39 Syangja 143
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 102
1%
44 Parbat 0
0%
45 Baglung 177
1.7%
46 Gulmi 255
2.4%
47 Palpa 172
1.6%
48 Nawalparasi 340
3.2%
49 Rupandehi 486
4.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 225
2.1%
54 Rukum 225
2.1%
55 Salyan 0
0%
56 Dang 169
1.6%
57 Banke 154
1.5%
58 Bardiya 0
0%
59 Surkhet 313
3%
60 Dailekh 141
1.3%
61 Jajarkot 178
1.7%
62 Dolpa 0
0%
63 Jumla 23
0.2%
64 Kalikot 105
1%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 82
0.8%
68 Bajhang 161
1.5%
69 Achham 254
2.4%
70 Doti 171
1.6%
71 Kailali 179
1.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 206
2%
75 Darchula 128
1.2%
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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