The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F366]
central

Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v02_M
DOI
https://doi.org/10.48529/mqys-cp36
Producer(s)
The World Bank
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 28, 2020
Last modified
Sep 17, 2021
Page views
266639
Downloads
9004
  • Study Description
  • Data Description
  • Documentation
  • 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_6c (hh wave2)

Overview

Valid: 27545
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 154
0.6%
2 Panchthar 0
0%
3 Ilam 574
2.1%
4 Jhapa 1290
4.7%
5 Morang 1232
4.5%
6 Sunsari 856
3.1%
7 Dhankuta 272
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 294
1.1%
11 Solukhumbu 258
0.9%
12 Okhaldhunga 249
0.9%
13 Khotang 363
1.3%
14 Udayapur 483
1.8%
15 Saptari 666
2.4%
16 Siraha 0
0%
17 Dhanusha 936
3.4%
18 Mahottari 765
2.8%
19 Sarlahi 986
3.6%
20 Sindhuli 469
1.7%
21 Ramechhap 0
0%
22 Dolakha 292
1.1%
23 Sindhupalchok 499
1.8%
24 Kabhrepalanchok 603
2.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 477
1.7%
29 Rasuwa 0
0%
30 Dhading 662
2.4%
31 Makwanpur 625
2.3%
32 Rautahat 0
0%
33 Bara 729
2.6%
34 Parsa 515
1.9%
35 Chitwan 0
0%
36 Gorkha 283
1%
37 Lamjung 342
1.2%
38 Tanahun 520
1.9%
39 Syangja 392
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 181
0.7%
44 Parbat 0
0%
45 Baglung 376
1.4%
46 Gulmi 561
2%
47 Palpa 457
1.7%
48 Nawalparasi 1620
5.9%
49 Rupandehi 1801
6.5%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 328
1.2%
54 Rukum 363
1.3%
55 Salyan 0
0%
56 Dang 909
3.3%
57 Banke 814
3%
58 Bardiya 0
0%
59 Surkhet 539
2%
60 Dailekh 346
1.3%
61 Jajarkot 238
0.9%
62 Dolpa 0
0%
63 Jumla 113
0.4%
64 Kalikot 177
0.6%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 145
0.5%
68 Bajhang 252
0.9%
69 Achham 310
1.1%
70 Doti 252
0.9%
71 Kailali 1418
5.1%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 317
1.2%
75 Darchula 242
0.9%
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
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.