Household Risk and Vulnerability Survey 2016-2018
Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
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Metadata
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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- Data files
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_4a
- Section_4b
- Section_5
- Section_0
- Section_1
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_17
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_5
- Section_0
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14b
- Section_14c
- Section_15a
- Section_15b
- Section_16
- Section_17
- Section_0
- Section_1
- Section_2
- Section_3a
- Section_3b
- Section_4a
- Section_4b
- Section_5
- Section_0
- Section_1
- Section_2
- Section_3
- Section_4
- Section_5a
- Section_5b
- Section_6a
- Section_6b
- Section_6c
- Section_6d
- Section_7
- Section_8
- Section_9a1
- Section_9a2
- Section_9a3
- Section_9a4
- Section_9b1
- Section_9b2
- Section_9c
- Section_9d
- Section_9e
- Section_9f
- Section_10
- Section_11
- Section_12a
- Section_12b
- Section_12c
- Section_12d
- Section_13a
- Section_13b
- Section_13c
- Section_13d
- Section_14a
- Section_14c
- Section_15b
- Section_16
- Section_17
- Section_16
- Section_4a
- Section_4b
- Section_1
- Section_11a
- Section_14b
- Section_15a
Name of VDC (vdc)
Data file: Section_13b
Overview
Valid:
147
Invalid:
0
Type:
Discrete
Start:
8
End:
32
Width:
25
Range:
-
Format:
character
Questions and instructions
Literal question
Name of VDC
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Aaglung | 1 |
0.7%
|
|
| Aginchok | 12 |
8.2%
|
|
| Amalachaur | 2 |
1.4%
|
|
| Anarmani | 1 |
0.7%
|
|
| Arthunge | 2 |
1.4%
|
|
| Badalamji | 1 |
0.7%
|
|
| Bageswari | 2 |
1.4%
|
|
| Bajhketeria | 1 |
0.7%
|
|
| Bakdhauwa | 2 |
1.4%
|
|
| Basa | 1 |
0.7%
|
|
| Bashaha | 2 |
1.4%
|
|
| Beladevipur | 1 |
0.7%
|
|
| Belbari | 1 |
0.7%
|
|
| Bharaul | 1 |
0.7%
|
|
| Bhumesthan | 3 |
2%
|
|
| Chamunda | 4 |
2.7%
|
|
| Chaudandi | 1 |
0.7%
|
|
| Chhinnamasta | 1 |
0.7%
|
|
| Dainiya | 1 |
0.7%
|
|
| Dandagaun | 1 |
0.7%
|
|
| Dandakhali | 1 |
0.7%
|
|
| Darakh | 1 |
0.7%
|
|
| Darkha | 1 |
0.7%
|
|
| Darling | 1 |
0.7%
|
|
| Deuri Parbaha | 1 |
0.7%
|
|
| Dillichaur | 8 |
5.4%
|
|
| Durgauli | 1 |
0.7%
|
|
| Faparbari | 1 |
0.7%
|
|
| Fatakshila | 3 |
2%
|
|
| Fatepur | 1 |
0.7%
|
|
| Ghetma | 1 |
0.7%
|
|
| Gumchal | 1 |
0.7%
|
|
| Gumi | 1 |
0.7%
|
|
| Halwar | 2 |
1.4%
|
|
| Hasuliya | 1 |
0.7%
|
|
| Hatiya | 2 |
1.4%
|
|
| Histhan Mandali | 2 |
1.4%
|
|
| Isma Rajasthal | 2 |
1.4%
|
|
| ItahariBishnupur | 2 |
1.4%
|
|
| Jambukandh | 1 |
0.7%
|
|
| Jhapra | 1 |
0.7%
|
|
| Jogidaha | 1 |
0.7%
|
|
| Kadambas | 3 |
2%
|
|
| Kanchanpur | 1 |
0.7%
|
|
| Kaptanganj | 1 |
0.7%
|
|
| Katahari | 2 |
1.4%
|
|
| Khailad | 1 |
0.7%
|
|
| Kol | 1 |
0.7%
|
|
| Lahawarthakari | 1 |
0.7%
|
|
| Lakandra | 1 |
0.7%
|
|
| Lamidada | 1 |
0.7%
|
|
| Laphagau | 2 |
1.4%
|
|
| Madhyeharsahi | 1 |
0.7%
|
|
| Mahadevpuri | 1 |
0.7%
|
|
| Mahadevsthan Mandan | 1 |
0.7%
|
|
| Maintara | 2 |
1.4%
|
|
| Manpur | 3 |
2%
|
|
| Martadi | 1 |
0.7%
|
|
| Mohanpur | 1 |
0.7%
|
|
| Mudabhara | 1 |
0.7%
|
|
| Narayanpur | 1 |
0.7%
|
|
| Narayansthan | 1 |
0.7%
|
|
| Naubasta | 1 |
0.7%
|
|
| Nijgadh | 2 |
1.4%
|
|
| Nipane | 1 |
0.7%
|
|
| Palumtar | 1 |
0.7%
|
|
| Piparpati Parchrouta | 1 |
0.7%
|
|
| Punama | 1 |
0.7%
|
|
| Rakam Karnali | 1 |
0.7%
|
|
| Rampur | 1 |
0.7%
|
|
| Rangsi | 1 |
0.7%
|
|
| Sadepani | 1 |
0.7%
|
|
| Sahare | 1 |
0.7%
|
|
| Salleri | 1 |
0.7%
|
|
| Sangkosh | 5 |
3.4%
|
|
| SanoDumma | 1 |
0.7%
|
|
| Sanusiruwari | 1 |
0.7%
|
|
| Simraha Sigiyoun | 1 |
0.7%
|
|
| Singiya | 3 |
2%
|
|
| Sinhasain | 2 |
1.4%
|
|
| Suganikash | 2 |
1.4%
|
|
| Sugarkhal | 1 |
0.7%
|
|
| Takuwa | 1 |
0.7%
|
|
| Taruka | 1 |
0.7%
|
|
| Thakre | 1 |
0.7%
|
|
| Thoksila | 3 |
2%
|
|
| Valayadanda | 3 |
2%
|
|
| Vedetar | 5 |
3.4%
|
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.