Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018

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Reference ID

NPL_2016-2018_HRVS_v02_M

DOI

https://doi.org/10.48529/mqys-cp36

Producer(s)

The World Bank

Metadata

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Created on

May 28, 2020

Last modified

Sep 17, 2021

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165199

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Name of VDC (vdc)

Data file: Section_13a (hh wave3)

Overview

Valid: 811

Invalid: 0

Type: Discrete

Width: 25

Range: -

Format: character

Questions and instructions

Literal question

Name of VDC

Categories

Value	Cases
Aaglung	5	0.6%
Aathbisdandagaun	2	0.2%
Aekamba	9	1.1%
Aginchok	3	0.4%
Amalachaur	2	0.2%
Anarmani	9	1.1%
Anbukhaireni	10	1.2%
Arjundhara	7	0.9%
Arthunge	2	0.2%
Bageswari	1	0.1%
Baijanathpur	7	0.9%
Bajhketeria	1	0.1%
Bakdhauwa	4	0.5%
Baliya	2	0.2%
Balungpani	15	1.8%
Barahachhetra	5	0.6%
Bejapur	1	0.1%
Beladevipur	4	0.5%
Belbari	5	0.6%
Belhara	1	0.1%
Belhichapena	1	0.1%
Bhanu	7	0.9%
Bharaul	6	0.7%
Bharta Pundyadevi	1	0.1%
Bhatkhola	23	2.8%
Bhirkot	10	1.2%
Bhote Odar	13	1.6%
Bhumesthan	13	1.6%
Bijayaswori (Chaurjahari)	1	0.1%
Birkot	1	0.1%
Boharagaun	2	0.2%
Boniya	2	0.2%
Budhabare	8	1%
Chamunda	1	0.1%
Charpane	3	0.4%
Chaumala	4	0.5%
Chhang	17	2.1%
Chhapali	1	0.1%
Danabari	7	0.9%
Darakh	3	0.4%
Darbhung	3	0.4%
Darkha	3	0.4%
Darling	4	0.5%
Darsing Dahathum	19	2.3%
Dattu	5	0.6%
Dharna	1	0.1%
Dhodeni	1	0.1%
Dhuskee	6	0.7%
Dibyapuri	2	0.2%
Dobhan	4	0.5%
Dubidanda	5	0.6%
Dulegaunda	16	2%
Durgasthan	1	0.1%
Durgauli	1	0.1%
Duwagadhi	14	1.7%
Fatepur	2	0.2%
Gaidakot	2	0.2%
Gajurmukhi	8	1%
Gauriganj	15	1.8%
Ghyachok	4	0.5%
Goganpani	2	0.2%
Gumchal	3	0.4%
Gumi	2	0.2%
Hanshposha	2	0.2%
Hastichour	3	0.4%
Hasuliya	4	0.5%
Hatiya	3	0.4%
Haunchur	1	0.1%
Hunainath	1	0.1%
Hungi	4	0.5%
Isma Rajasthal	1	0.1%
Itahara	3	0.4%
Jalthal	14	1.7%
Jamune	7	0.9%
Jhapra	4	0.5%
Juming	1	0.1%
Jungar	4	0.5%
Jyamrung	3	0.4%
Kakani	1	0.1%
Kalyan	1	0.1%
Kanchanpur	3	0.4%
Kaptanganj	5	0.6%
Kaulmabarahachaur	15	1.8%
Kawaswoti	1	0.1%
Khailad	4	0.5%
Khalanga	2	0.2%
Khalte	1	0.1%
Khejenim	21	2.6%
Khudi	7	0.9%
Khudunabari	14	1.7%
Khyaha	4	0.5%
Kotdarbar	13	1.6%
Kurule	2	0.2%
Lakandra	3	0.4%
Lalmatiya	3	0.4%
Laphagau	2	0.2%
Liwang	1	0.1%
Madhawapur	2	0.2%
Madhumalla	2	0.2%
Madhyeharsahi	7	0.9%
Mahabhara	12	1.5%
Mahadevsthan	3	0.4%
Mahamai	4	0.5%
Maintara	1	0.1%
Malakheti	1	0.1%
Masuriya	1	0.1%
Mohanpur	1	0.1%
Murtidhunga	2	0.2%
Musikot	2	0.2%
Nagarjun	1	0.1%
Nalang	2	0.2%
Narayanpur	4	0.5%
Narayansthan	9	1.1%
NayaBazar	1	0.1%
Nibuwakharka	16	2%
Nilkantha	1	0.1%
Okhaldhunga	1	0.1%
Pakali	7	0.9%
Palumtar	4	0.5%
Pang	1	0.1%
Pathari	3	0.4%
Pathariya	15	1.8%
Phakumba	13	1.6%
Phedi	2	0.2%
Phulwari	3	0.4%
Pida	3	0.4%
Portaha	3	0.4%
Punama	2	0.2%
Rakhu Bhagawati	4	0.5%
Ramjakot	17	2.1%
Ramsikhar Jhala	3	0.4%
Rangeli	3	0.4%
Rapakot	23	2.8%
Resh	5	0.6%
Sahare	1	0.1%
Salleri	1	0.1%
Samalbung	1	0.1%
Sangkosh	3	0.4%
Sanischare	8	1%
Sanwa	12	1.5%
Shankar Nagar	1	0.1%
Shantinagar	6	0.7%
Shantipur	3	0.4%
Simraha Sigiyoun	1	0.1%
Singiya	7	0.9%
Sisahaniya	2	0.2%
Sugarkhal	2	0.2%
Sundarbazar	10	1.2%
Sungdel	1	0.1%
Surunga	11	1.4%
Syalapakha	3	0.4%
Taksar	14	1.7%
Talabang	1	0.1%
Talegaun	2	0.2%
Tanahunsur	5	0.6%
Tapting	1	0.1%
Tarkukot	8	1%
Thakre	2	0.2%
Thoksila	1	0.1%
Thulo Lumpek	2	0.2%
ThuloSirubari	1	0.1%
Timure	3	0.4%
Urlabari	4	0.5%
Urma	5	0.6%
Valayadanda	1	0.1%
Vedetar	2	0.2%
Yangpang	2	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.

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