Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F442]
central

Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
Get Microdata
Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
Page views
133513
Downloads
1162

Name of VDC (vdc)

Data file: Section_15a (hh wave3)

Overview

Valid: 1493
Invalid: 0
Type: Discrete
Width: 25
Range: -
Format: character

Questions and instructions

Literal question
Name of VDC
Categories
Value Category Cases
Aaglung 5
0.3%
Aathbisdandagaun 7
0.5%
Aginchok 1
0.1%
Ainselukharka 14
0.9%
Amalachaur 5
0.3%
Amarpatti 12
0.8%
Amraut 2
0.1%
Anbukhaireni 8
0.5%
Arjundhara 1
0.1%
Arnaha 4
0.3%
Avab 5
0.3%
Badalamji 4
0.3%
Badalkot 11
0.7%
Badegau 1
0.1%
Bagaha 1
0.1%
Bageswari 7
0.5%
Bahuntilpung 2
0.1%
Baijanathpur 12
0.8%
Bajhketeria 3
0.2%
Bajrabarahi 1
0.1%
Bakdhauwa 2
0.1%
Balaha Kathal 1
0.1%
Baliya 4
0.3%
Balungpani 2
0.1%
Banauli 8
0.5%
Banouta 8
0.5%
Barahachhetra 1
0.1%
Barahathawa 5
0.3%
Basa 2
0.1%
Bashaha 2
0.1%
Bejapur 8
0.5%
Beladevipur 1
0.1%
Belbari 1
0.1%
Belhara 10
0.7%
Belkot 4
0.3%
Beriya Birta (Wa.Pu) 6
0.4%
Bhagyaswori 1
0.1%
Bhamchaur 4
0.3%
Bhanu 1
0.1%
Bharatpur 1
0.1%
Bhatkhola 11
0.7%
Bhirkot 7
0.5%
Bhotasipa 3
0.2%
Bhote Odar 13
0.9%
Bhujhawa 9
0.6%
Bhulke 6
0.4%
Bhumesthan 3
0.2%
Bidyapur 10
0.7%
BijayaKharka 9
0.6%
Bijayalpura 4
0.3%
Bijayaswori (Chaurjahari) 10
0.7%
Birkot 3
0.2%
Bisalpur 4
0.3%
Bisunpura 1
0.1%
Boharagaun 13
0.9%
Boniya 2
0.1%
Brahmapuri 5
0.3%
Bramhatola 3
0.2%
Chameta 2
0.1%
Chamunda 2
0.1%
Chaudandi 7
0.5%
Chaulahi 6
0.4%
Chaumala 3
0.2%
Chhang 8
0.5%
Chhapali 20
1.3%
Chilankha 1
0.1%
Chisapani 4
0.3%
Chungwang 10
0.7%
Chyanam 1
0.1%
Chyasing Kharka 5
0.3%
Dadiguranshe 3
0.2%
Dahiyar 6
0.4%
Dainiya 1
0.1%
Daman 3
0.2%
Dandagaun 4
0.3%
Dandakhali 8
0.5%
Darbhung 9
0.6%
Darkha 11
0.7%
Darling 5
0.3%
Darsing Dahathum 7
0.5%
Dattu 1
0.1%
Deulekh 3
0.2%
Deurali 3
0.2%
Devadaha 5
0.3%
Devisthan 3
0.2%
Dewantar 4
0.3%
Dharna 2
0.1%
Dhaubini 4
0.3%
Dhitung 18
1.2%
Dhodeni 11
0.7%
Dhuskee 1
0.1%
Dillichaur 6
0.4%
Dobhan 1
0.1%
Dubidanda 2
0.1%
Dudharakchhe 1
0.1%
Dulegaunda 6
0.4%
Durgasthan 1
0.1%
Durgauli 4
0.3%
Duwagadhi 1
0.1%
Ekarahiya 4
0.3%
Falate Bhulmu 5
0.3%
Faparbari 2
0.1%
Fatepur 2
0.1%
Gaidakot 3
0.2%
Gajurmukhi 3
0.2%
Ganeshthan 1
0.1%
Ganjari 11
0.7%
Ghetma 1
0.1%
Ghurkauli 6
0.4%
Ghyachok 16
1.1%
Goganpani 17
1.1%
Gonaha 1
0.1%
Gonarpura 5
0.3%
Gumchal 2
0.1%
Gumi 3
0.2%
Gunsakot 2
0.1%
Guthisuryapura 2
0.1%
Hajariya 5
0.3%
Halwar 1
0.1%
Hanshposha 1
0.1%
Haraiya 4
0.3%
Hariharpur 2
0.1%
Hasandaha 1
0.1%
Hastichour 2
0.1%
Hasuliya 2
0.1%
Hathiyon 16
1.1%
Hatiya 5
0.3%
Haunchur 10
0.7%
Hekuli 2
0.1%
Histhan Mandali 14
0.9%
Hunainath 10
0.7%
Indrapur 4
0.3%
Isma Rajasthal 3
0.2%
Itahara 1
0.1%
ItahariBishnupur 3
0.2%
Jalapadevi 12
0.8%
Jambukandh 8
0.5%
Jamune 3
0.2%
JanakiNagar 6
0.4%
Japhe 1
0.1%
Jarayotar 5
0.3%
Jhapra 12
0.8%
Jitpur Bhawanipur 4
0.3%
Jogidaha 6
0.4%
Jugada 1
0.1%
Juming 3
0.2%
Jungar 5
0.3%
Jyamdi Mandan 2
0.1%
Jyamrung 5
0.3%
Kakani 2
0.1%
Kalpabrishykha 2
0.1%
Kalyan 4
0.3%
Kankada 4
0.3%
Katakuti 1
0.1%
Kaulmabarahachaur 7
0.5%
Kawaswoti 3
0.2%
Kerbani 2
0.1%
Ketuke 6
0.4%
Khailad 3
0.2%
Khajurakhurda 3
0.2%
Khalanga 12
0.8%
Khalte 14
0.9%
Kharelthok 2
0.1%
Khejenim 3
0.2%
Khirsain 9
0.6%
Kholegaun Khanigau 1
0.1%
Khudi 5
0.3%
Khudunabari 1
0.1%
Khuttapiparadhi 4
0.3%
Khyaha 3
0.2%
Kohalpur 4
0.3%
Kol 1
0.1%
Kortrang 11
0.7%
Kotdarbar 11
0.7%
Kotila 6
0.4%
Kumarwarti 6
0.4%
Kurule 6
0.4%
Ladabhir(Mahendra) 3
0.2%
Lahawarthakari 4
0.3%
Lakandra 6
0.4%
Lalbandi 3
0.2%
Lalmatiya 2
0.1%
Lalutantikot 3
0.2%
Lamidada 5
0.3%
Laphagau 7
0.5%
Latikoili 4
0.3%
Lipanimal 7
0.5%
Liwang 3
0.2%
Madhawapur 2
0.1%
Madhyeharsahi 1
0.1%
Mahabhara 1
0.1%
Mahadevpuri 7
0.5%
Mahadevsthan 3
0.2%
Mahankal 1
0.1%
Mahat 1
0.1%
Maintara 4
0.3%
Maisthan 1
0.1%
Makrahar 1
0.1%
Malakheti 8
0.5%
Mali 1
0.1%
Manakamana 1
0.1%
Mane Bhanjyang 4
0.3%
Manpur 9
0.6%
Martadi 4
0.3%
Masuriya 1
0.1%
Maulali 1
0.1%
Mohanpur 3
0.2%
Mudabhara 28
1.9%
Mudali 14
0.9%
Murtidhunga 2
0.1%
Musikot 1
0.1%
Nagarjun 4
0.3%
Nagre Gagarche 3
0.2%
Nalang 12
0.8%
Nandegada 4
0.3%
Narayani 1
0.1%
Narayanpur 5
0.3%
Narayansthan 5
0.3%
Naubasta 4
0.3%
Naule Katuwal 3
0.2%
NayaBazar 3
0.2%
Necha Batase 2
0.1%
Neta 8
0.5%
Nibuwakharka 9
0.6%
Nijgadh 1
0.1%
Nilkantha 1
0.1%
Nipane 2
0.1%
Odanaku 6
0.4%
Okhaldhunga 6
0.4%
Padam Pokhari 1
0.1%
Padsari 2
0.1%
Pagretar 4
0.3%
Pakali 1
0.1%
Pakalihawa 4
0.3%
Palumtar 3
0.2%
Panchkhal 2
0.1%
Pang 2
0.1%
Parroha 1
0.1%
ParsaDewadh 5
0.3%
Pathariya 3
0.2%
Pawan Nagar 3
0.2%
Phakumba 2
0.1%
Phedi 16
1.1%
PhikalBazar 2
0.1%
Phulwari 1
0.1%
Pida 1
0.1%
Pipalchauri 6
0.4%
Piparpati Parchrouta 6
0.4%
Piprahawa 1
0.1%
Pokhari 6
0.4%
Punama 6
0.4%
Rajhena 3
0.2%
Rajpur 3
0.2%
Rakachuli 1
0.1%
Rakam Karnali 6
0.4%
Rakhu Bhagawati 2
0.1%
Ramjakot 10
0.7%
Ramsikhar Jhala 2
0.1%
Rangeli 4
0.3%
Raniganj 10
0.7%
Rapakot 8
0.5%
Ratanpuri 12
0.8%
Ratnawati 8
0.5%
Resh 6
0.4%
Rudrapur 2
0.1%
Rupauliya 1
0.1%
Sadepani 1
0.1%
Sahare 8
0.5%
Sahasaula 5
0.3%
Sailungeswor 1
0.1%
Sainpasela 5
0.3%
Sakhuwa Prasauni 6
0.4%
Saljhundi 2
0.1%
Salleri 2
0.1%
Salme 1
0.1%
Sangkosh 4
0.3%
SanoDumma 4
0.3%
Santada 7
0.5%
Sanusiruwari 1
0.1%
Sanwa 3
0.2%
Sarmali 3
0.2%
Satbariya 1
0.1%
Shankar Nagar 1
0.1%
Shivmandir 5
0.3%
Shreepur Chhatiwan 1
0.1%
Sijuwa 1
0.1%
Simraha Sigiyoun 1
0.1%
Singiya 1
0.1%
Sinhasain 11
0.7%
Sirise 4
0.3%
Sisawakataiya 4
0.3%
Sisotiya 6
0.4%
Souraha Pharsatika 1
0.1%
Sreekot 8
0.5%
Sugarkhal 3
0.2%
Sukatiya 5
0.3%
Sundarbazar 11
0.7%
Sungdel 12
0.8%
Sunwal 1
0.1%
Syalapakha 2
0.1%
Taksar 8
0.5%
Talabang 5
0.3%
Talegaun 5
0.3%
Tanahunsur 7
0.5%
Tapting 3
0.2%
Tarigaun 2
0.1%
Tarkukot 11
0.7%
Taruka 4
0.3%
Tatopani 13
0.9%
Thakre 3
0.2%
Thoksila 5
0.3%
Thori 5
0.3%
Thulo Lumpek 2
0.1%
ThuloSirubari 2
0.1%
Tikhatar 4
0.3%
Tikuligadh 1
0.1%
Timure 1
0.1%
Tinkanya 3
0.2%
Turmakhad 1
0.1%
Udayapur 2
0.1%
Uku 2
0.1%
Valayadanda 5
0.3%
Vedetar 7
0.5%
Yangpang 1
0.1%
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.
Back to Catalog