Household Risk and Vulnerability Survey 2016-2018
Nepal, 2016 - 2018
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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_13a
Overview
Valid:
446
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 | |
|---|---|---|---|
| Aekamba | 12 |
2.7%
|
|
| Aginchok | 1 |
0.2%
|
|
| Amahi bariyati | 9 |
2%
|
|
| Amalachaur | 1 |
0.2%
|
|
| Amraut | 1 |
0.2%
|
|
| Anarmani | 4 |
0.9%
|
|
| Arthunge | 1 |
0.2%
|
|
| Bagaha | 1 |
0.2%
|
|
| Baijanathpur | 5 |
1.1%
|
|
| Banouta | 1 |
0.2%
|
|
| Barahachhetra | 11 |
2.5%
|
|
| Belbari | 7 |
1.6%
|
|
| Belhara | 1 |
0.2%
|
|
| Belhichapena | 4 |
0.9%
|
|
| Bhamchaur | 3 |
0.7%
|
|
| Bharaul | 13 |
2.9%
|
|
| Bhotasipa | 1 |
0.2%
|
|
| Bhulke | 1 |
0.2%
|
|
| Bijayaswori (Chaurjahari) | 1 |
0.2%
|
|
| Bisalpur | 6 |
1.3%
|
|
| Boniya | 4 |
0.9%
|
|
| Bramhatola | 1 |
0.2%
|
|
| Chameta | 7 |
1.6%
|
|
| Charpane | 3 |
0.7%
|
|
| Chaulahi | 3 |
0.7%
|
|
| Chhinnamasta | 8 |
1.8%
|
|
| Chisapani | 1 |
0.2%
|
|
| Dainiya | 7 |
1.6%
|
|
| Danabari | 5 |
1.1%
|
|
| Darling | 1 |
0.2%
|
|
| Deulekh | 1 |
0.2%
|
|
| Deuri Parbaha | 1 |
0.2%
|
|
| Devisthan | 1 |
0.2%
|
|
| Dharna | 3 |
0.7%
|
|
| Dhitung | 1 |
0.2%
|
|
| Dhuskee | 10 |
2.2%
|
|
| Drabesh | 13 |
2.9%
|
|
| Durgasthan | 1 |
0.2%
|
|
| Duwagadhi | 2 |
0.4%
|
|
| Fatepur | 6 |
1.3%
|
|
| Gadhawa | 5 |
1.1%
|
|
| Gaidakot | 2 |
0.4%
|
|
| Gajurmukhi | 4 |
0.9%
|
|
| Ganeshthan | 3 |
0.7%
|
|
| Goganpani | 1 |
0.2%
|
|
| Halwar | 1 |
0.2%
|
|
| Hasandaha | 2 |
0.4%
|
|
| Hatiya | 1 |
0.2%
|
|
| Hekuli | 2 |
0.4%
|
|
| Hunainath | 2 |
0.4%
|
|
| Hungi | 2 |
0.4%
|
|
| Isma Rajasthal | 1 |
0.2%
|
|
| Itahara | 5 |
1.1%
|
|
| ItahariBishnupur | 7 |
1.6%
|
|
| Jalapadevi | 1 |
0.2%
|
|
| Jogmai | 6 |
1.3%
|
|
| Juming | 1 |
0.2%
|
|
| Jyamdi Mandan | 1 |
0.2%
|
|
| Jyamrung | 2 |
0.4%
|
|
| Kanchanpur | 8 |
1.8%
|
|
| Kaptanganj | 12 |
2.7%
|
|
| Keroun | 10 |
2.2%
|
|
| Khailad | 1 |
0.2%
|
|
| Khalte | 2 |
0.4%
|
|
| Khiratadi | 2 |
0.4%
|
|
| Khudunabari | 2 |
0.4%
|
|
| Kushkot | 1 |
0.2%
|
|
| Lalmatiya | 4 |
0.9%
|
|
| Lalutantikot | 2 |
0.4%
|
|
| Madhawapur | 1 |
0.2%
|
|
| Madhumalla | 1 |
0.2%
|
|
| Madhyeharsahi | 11 |
2.5%
|
|
| Mahamai | 2 |
0.4%
|
|
| Malakheti | 1 |
0.2%
|
|
| Mane Bhanjyang | 3 |
0.7%
|
|
| Mohanpur | 21 |
4.7%
|
|
| Murtidhunga | 2 |
0.4%
|
|
| Nandegada | 2 |
0.4%
|
|
| Naubasta | 2 |
0.4%
|
|
| NayaBazar | 3 |
0.7%
|
|
| Necha Batase | 2 |
0.4%
|
|
| Nilkantha | 5 |
1.1%
|
|
| Pakali | 7 |
1.6%
|
|
| Pathari | 1 |
0.2%
|
|
| Pawan Nagar | 1 |
0.2%
|
|
| Phakumba | 1 |
0.2%
|
|
| PhikalBazar | 8 |
1.8%
|
|
| Phulwari | 1 |
0.2%
|
|
| Pipalchauri | 4 |
0.9%
|
|
| Piprahawa | 1 |
0.2%
|
|
| Portaha | 4 |
0.9%
|
|
| Rajpur | 2 |
0.4%
|
|
| Rakam Karnali | 1 |
0.2%
|
|
| Rakhu Bhagawati | 2 |
0.4%
|
|
| Ramganj Belgachhi | 7 |
1.6%
|
|
| Rangeli | 10 |
2.2%
|
|
| Rupauliya | 1 |
0.2%
|
|
| Sadepani | 1 |
0.2%
|
|
| Sainpasela | 4 |
0.9%
|
|
| Samalbung | 4 |
0.9%
|
|
| Sangkosh | 3 |
0.7%
|
|
| Sanischare | 1 |
0.2%
|
|
| SanoDumma | 2 |
0.4%
|
|
| Sanwa | 3 |
0.7%
|
|
| Satbariya | 1 |
0.2%
|
|
| Shantipur | 1 |
0.2%
|
|
| Shreepur Chhatiwan | 1 |
0.2%
|
|
| Sijuwa | 6 |
1.3%
|
|
| Simraha Sigiyoun | 6 |
1.3%
|
|
| Singiya | 14 |
3.1%
|
|
| Sisahaniya | 1 |
0.2%
|
|
| Souraha Pharsatika | 1 |
0.2%
|
|
| Soyang | 4 |
0.9%
|
|
| Sunwal | 1 |
0.2%
|
|
| Takuwa | 11 |
2.5%
|
|
| Tarigaun | 2 |
0.4%
|
|
| Thakre | 1 |
0.2%
|
|
| Thoksila | 2 |
0.4%
|
|
| Uku | 2 |
0.4%
|
|
| Urlabari | 7 |
1.6%
|
|
| Valayadanda | 1 |
0.2%
|
|
| Vedetar | 2 |
0.4%
|
|
| Yangpang | 1 |
0.2%
|
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.