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:
224
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 | 2 |
0.9%
|
|
| Aathbisdandagaun | 2 |
0.9%
|
|
| Aekamba | 1 |
0.4%
|
|
| Ainselukharka | 8 |
3.6%
|
|
| Amalachaur | 1 |
0.4%
|
|
| Arthunge | 4 |
1.8%
|
|
| Badalamji | 1 |
0.4%
|
|
| Badegau | 1 |
0.4%
|
|
| Bageswari | 1 |
0.4%
|
|
| Barahachhetra | 1 |
0.4%
|
|
| Bashaha | 2 |
0.9%
|
|
| Bejapur | 1 |
0.4%
|
|
| Beladevipur | 8 |
3.6%
|
|
| Belhichapena | 1 |
0.4%
|
|
| Beriya Birta (Wa.Pu) | 2 |
0.9%
|
|
| Bharaul | 1 |
0.4%
|
|
| Bhotasipa | 3 |
1.3%
|
|
| Bhulke | 1 |
0.4%
|
|
| Bidyapur | 1 |
0.4%
|
|
| Boniya | 1 |
0.4%
|
|
| Chameta | 1 |
0.4%
|
|
| Chaudandi | 2 |
0.9%
|
|
| Chaumala | 4 |
1.8%
|
|
| Chungwang | 1 |
0.4%
|
|
| Dadiguranshe | 1 |
0.4%
|
|
| Daman | 3 |
1.3%
|
|
| Dandakhali | 1 |
0.4%
|
|
| Darakh | 1 |
0.4%
|
|
| Darling | 2 |
0.9%
|
|
| Deuri Parbaha | 1 |
0.4%
|
|
| Dhaubini | 2 |
0.9%
|
|
| Dhitung | 2 |
0.9%
|
|
| Dhodeni | 1 |
0.4%
|
|
| Dibyapuri | 1 |
0.4%
|
|
| Drabesh | 1 |
0.4%
|
|
| Dubidanda | 1 |
0.4%
|
|
| Durgauli | 1 |
0.4%
|
|
| Gaidakot | 2 |
0.9%
|
|
| Geta | 3 |
1.3%
|
|
| Ghetma | 2 |
0.9%
|
|
| Gonaha | 1 |
0.4%
|
|
| Halwar | 1 |
0.4%
|
|
| Hasuliya | 8 |
3.6%
|
|
| Hatiya | 1 |
0.4%
|
|
| Haunchur | 1 |
0.4%
|
|
| Hekuli | 1 |
0.4%
|
|
| Histhan Mandali | 2 |
0.9%
|
|
| Indrapur | 6 |
2.7%
|
|
| Isma Rajasthal | 1 |
0.4%
|
|
| ItahariBishnupur | 2 |
0.9%
|
|
| Jarayotar | 3 |
1.3%
|
|
| Jogidaha | 4 |
1.8%
|
|
| Kanchanpur | 1 |
0.4%
|
|
| Kaptanganj | 1 |
0.4%
|
|
| Khailad | 1 |
0.4%
|
|
| Khajurakhurda | 2 |
0.9%
|
|
| Khalanga | 2 |
0.9%
|
|
| Khiratadi | 1 |
0.4%
|
|
| Kol | 1 |
0.4%
|
|
| Ladabhir(Mahendra) | 1 |
0.4%
|
|
| Lakandra | 1 |
0.4%
|
|
| Lalutantikot | 1 |
0.4%
|
|
| Lamidada | 6 |
2.7%
|
|
| Laphagau | 4 |
1.8%
|
|
| Latikoili | 4 |
1.8%
|
|
| Madhawapur | 3 |
1.3%
|
|
| Mahadevpuri | 1 |
0.4%
|
|
| Mahadevsthan Mandan | 1 |
0.4%
|
|
| Mahankal | 1 |
0.4%
|
|
| Maintara | 2 |
0.9%
|
|
| Malakheti | 3 |
1.3%
|
|
| Masuriya | 8 |
3.6%
|
|
| Maulali | 1 |
0.4%
|
|
| Mohanpur | 1 |
0.4%
|
|
| Nagre Gagarche | 1 |
0.4%
|
|
| Narayanpur | 1 |
0.4%
|
|
| Narayansthan | 3 |
1.3%
|
|
| Naubasta | 2 |
0.9%
|
|
| Naule Katuwal | 1 |
0.4%
|
|
| Neta | 1 |
0.4%
|
|
| Panchkhal | 1 |
0.4%
|
|
| Pathariya | 1 |
0.4%
|
|
| Phedi | 3 |
1.3%
|
|
| Phulwari | 1 |
0.4%
|
|
| Pokhari | 6 |
2.7%
|
|
| Portaha | 3 |
1.3%
|
|
| Rajpur | 3 |
1.3%
|
|
| Rakhu Bhagawati | 1 |
0.4%
|
|
| Sadepani | 2 |
0.9%
|
|
| Sahare | 1 |
0.4%
|
|
| Sailungeswor | 2 |
0.9%
|
|
| Samalbung | 1 |
0.4%
|
|
| Sanischare | 1 |
0.4%
|
|
| Sankhupati Chour | 5 |
2.2%
|
|
| SanoDumma | 1 |
0.4%
|
|
| Sanusiruwari | 1 |
0.4%
|
|
| Shreepur Chhatiwan | 1 |
0.4%
|
|
| Simraha Sigiyoun | 4 |
1.8%
|
|
| Sirise | 5 |
2.2%
|
|
| Sitapur | 1 |
0.4%
|
|
| Soyang | 1 |
0.4%
|
|
| Sungdel | 1 |
0.4%
|
|
| Takuwa | 1 |
0.4%
|
|
| Tamasariya | 1 |
0.4%
|
|
| Tarigaun | 1 |
0.4%
|
|
| Thoksila | 1 |
0.4%
|
|
| ThuloSirubari | 2 |
0.9%
|
|
| Valayadanda | 2 |
0.9%
|
|
| Vedetar | 5 |
2.2%
|
|
| Yagyabhumi | 1 |
0.4%
|
|
| Yangpang | 1 |
0.4%
|
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.