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

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165171

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Name of VDC (vdc)

Data file: Section_12b (hh wave1)

Overview

Valid: 392

Invalid: 0

Type: Discrete

Width: 25

Range: -

Format: character

Questions and instructions

Literal question

Name of VDC

Categories

Value	Cases
Aaglung	1	0.3%
Aathbisdandagaun	6	1.5%
Aekamba	1	0.3%
Ainselukharka	9	2.3%
Amalachaur	1	0.3%
Amarpatti	1	0.3%
Arthunge	1	0.3%
Badegau	1	0.3%
Bajrabarahi	2	0.5%
Balaha Kathal	1	0.3%
Balungpani	2	0.5%
BanakhuChor	4	1%
Bashaha	3	0.8%
Belhara	1	0.3%
Belkot	1	0.3%
Beriya Birta (Wa.Pu)	1	0.3%
Bharaul	2	0.5%
Bharta Pundyadevi	3	0.8%
Bhotasipa	6	1.5%
Bhote Odar	2	0.5%
Bhulke	1	0.3%
Bidyapur	2	0.5%
BijayaKharka	3	0.8%
Bijayaswori (Chaurjahari)	5	1.3%
Birkot	1	0.3%
Bisalpur	1	0.3%
Boniya	4	1%
Bramhatola	1	0.3%
Chamunda	1	0.3%
Chaudandi	2	0.5%
Chhinnamasta	1	0.3%
Chilankha	1	0.3%
Chungwang	5	1.3%
Chyasing Kharka	1	0.3%
Daman	4	1%
Dandagaun	2	0.5%
Darakh	5	1.3%
Darbhung	1	0.3%
Darling	3	0.8%
Dattu	1	0.3%
Dewantar	2	0.5%
Dharna	1	0.3%
Dhitung	4	1%
Dobhan	1	0.3%
Dubidanda	5	1.3%
Falate Bhulmu	2	0.5%
Faparbari	2	0.5%
Fatakshila	2	0.5%
Fatepur	1	0.3%
Gadhawa	1	0.3%
Gaidakot	2	0.5%
Gajurmukhi	1	0.3%
Ganeshthan	1	0.3%
Ganjari	3	0.8%
Geta	1	0.3%
Ghetma	12	3.1%
Gumchal	2	0.5%
Gumi	2	0.5%
Gunsakot	1	0.3%
Halwar	3	0.8%
Haraiya	2	0.5%
Hastichour	2	0.5%
Hatiya	3	0.8%
Haunchur	4	1%
Hekuli	1	0.3%
Histhan Mandali	3	0.8%
Hunainath	2	0.5%
Hungi	3	0.8%
Isma Rajasthal	1	0.3%
Jambukandh	2	0.5%
Jarayotar	4	1%
Jhapra	3	0.8%
Jogidaha	4	1%
Jugada	1	0.3%
Juming	1	0.3%
Jungar	3	0.8%
Jyamrung	2	0.5%
Kadambas	2	0.5%
Kalyan	3	0.8%
Kankada	4	1%
Katakuti	1	0.3%
Khailad	3	0.8%
Khajurakhurda	3	0.8%
Khalanga	6	1.5%
Khejenim	1	0.3%
Khirsain	2	0.5%
Khudi	1	0.3%
Khyaha	2	0.5%
Kol	2	0.5%
Kurule	3	0.8%
Ladabhir(Mahendra)	1	0.3%
Lakandra	1	0.3%
Lamidada	3	0.8%
Latikoili	2	0.5%
Liwang	4	1%
Madhawapur	3	0.8%
Mahankal	2	0.5%
Maintara	4	1%
Mali	1	0.3%
Manahari	3	0.8%
Mane Bhanjyang	1	0.3%
Manpur	1	0.3%
Mudabhara	2	0.5%
Musikot	2	0.5%
Nagre Gagarche	10	2.6%
Narayanpur	1	0.3%
Naule Katuwal	3	0.8%
NayaBazar	1	0.3%
Nipane	1	0.3%
Odanaku	6	1.5%
Padam Pokhari	2	0.5%
Pagretar	4	1%
Panchkhal	2	0.5%
Pathariya	3	0.8%
Pawan Nagar	2	0.5%
Phedi	1	0.3%
PhikalBazar	2	0.5%
Pokhari	1	0.3%
Punama	5	1.3%
Rajhena	1	0.3%
Rajpur	3	0.8%
Rakam Karnali	1	0.3%
Rakhu Bhagawati	3	0.8%
Rampur	4	1%
Ramsikhar Jhala	2	0.5%
Rangsi	5	1.3%
Ratanpuri	1	0.3%
Resh	2	0.5%
Sadepani	4	1%
Sahare	2	0.5%
Salleri	1	0.3%
Sankhupati Chour	3	0.8%
SanoDumma	1	0.3%
Sanusiruwari	2	0.5%
Sarmali	1	0.3%
Sinhasain	1	0.3%
Sipali Chilaune	1	0.3%
Sirise	4	1%
Sisahaniya	1	0.3%
Souraha Pharsatika	1	0.3%
Soyang	2	0.5%
Sreekot	1	0.3%
Sukatiya	3	0.8%
Sundarbazar	1	0.3%
Sungdel	5	1.3%
Syalapakha	6	1.5%
Talabang	4	1%
Talegaun	3	0.8%
Tapting	1	0.3%
Tatopani	2	0.5%
Thoksila	4	1%
Thulo Lumpek	1	0.3%
ThuloSirubari	1	0.3%
Timure	1	0.3%
Uku	1	0.3%
Urma	7	1.8%
Valayadanda	1	0.3%
Vedetar	5	1.3%
Yangpang	8	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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