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    Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F435]
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
114837
Downloads
934
  • 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)

Name of District (district)

Data file: Section_13a (hh wave3)

Overview

Valid: 811
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 46
5.7%
2 Panchthar 0
0%
3 Ilam 21
2.6%
4 Jhapa 133
16.4%
5 Morang 27
3.3%
6 Sunsari 54
6.7%
7 Dhankuta 7
0.9%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 2
0.2%
11 Solukhumbu 2
0.2%
12 Okhaldhunga 2
0.2%
13 Khotang 4
0.5%
14 Udayapur 4
0.5%
15 Saptari 17
2.1%
16 Siraha 0
0%
17 Dhanusha 0
0%
18 Mahottari 0
0%
19 Sarlahi 0
0%
20 Sindhuli 0
0%
21 Ramechhap 0
0%
22 Dolakha 0
0%
23 Sindhupalchok 1
0.1%
24 Kabhrepalanchok 0
0%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 1
0.1%
29 Rasuwa 0
0%
30 Dhading 39
4.8%
31 Makwanpur 1
0.1%
32 Rautahat 0
0%
33 Bara 0
0%
34 Parsa 0
0%
35 Chitwan 0
0%
36 Gorkha 29
3.6%
37 Lamjung 46
5.7%
38 Tanahun 92
11.3%
39 Syangja 110
13.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 6
0.7%
44 Parbat 0
0%
45 Baglung 23
2.8%
46 Gulmi 21
2.6%
47 Palpa 16
2%
48 Nawalparasi 3
0.4%
49 Rupandehi 1
0.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 15
1.8%
54 Rukum 8
1%
55 Salyan 0
0%
56 Dang 6
0.7%
57 Banke 2
0.2%
58 Bardiya 0
0%
59 Surkhet 5
0.6%
60 Dailekh 4
0.5%
61 Jajarkot 8
1%
62 Dolpa 0
0%
63 Jumla 0
0%
64 Kalikot 0
0%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 0
0%
68 Bajhang 0
0%
69 Achham 0
0%
70 Doti 1
0.1%
71 Kailali 46
5.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 2
0.2%
75 Darchula 6
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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