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    Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F392]
central

Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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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
107948
Downloads
853
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Section_0
    (community
    wave1)
  • Section_1
    (community
    wave1)
  • Section_2
    (community
    wave1)
  • Section_3a
    (community
    wave1)
  • Section_3b
    (community
    wave1)
  • Section_4a
    (community
    wave1)
  • Section_4b
    (community
    wave1)
  • Section_5
    (community
    wave1)
  • Section_0 (hh
    wave1)
  • Section_1 (hh
    wave1)
  • Section_2 (hh
    wave1)
  • Section_3 (hh
    wave1)
  • Section_4 (hh
    wave1)
  • Section_5a (hh
    wave1)
  • Section_5b (hh
    wave1)
  • Section_6a (hh
    wave1)
  • Section_6b (hh
    wave1)
  • Section_6c (hh
    wave1)
  • Section_6d (hh
    wave1)
  • Section_7 (hh
    wave1)
  • Section_8 (hh
    wave1)
  • Section_9a1 (hh
    wave1)
  • Section_9a2 (hh
    wave1)
  • Section_9a3 (hh
    wave1)
  • Section_9a4 (hh
    wave1)
  • Section_9b1 (hh
    wave1)
  • Section_9b2 (hh
    wave1)
  • Section_9c (hh
    wave1)
  • Section_9d (hh
    wave1)
  • Section_9e (hh
    wave1)
  • Section_9f (hh
    wave1)
  • Section_10 (hh
    wave1)
  • Section_11 (hh
    wave1)
  • Section_12a (hh
    wave1)
  • Section_12b (hh
    wave1)
  • Section_12c (hh
    wave1)
  • Section_12d (hh
    wave1)
  • Section_13a (hh
    wave1)
  • Section_13b (hh
    wave1)
  • Section_13c (hh
    wave1)
  • Section_13d (hh
    wave1)
  • Section_14a (hh
    wave1)
  • Section_14b (hh
    wave1)
  • Section_14c (hh
    wave1)
  • Section_15a (hh
    wave1)
  • Section_15b (hh
    wave1)
  • Section_16 (hh
    wave1)
  • Section_17 (hh
    wave1)
  • Section_0
    (community
    wave2)
  • Section_1
    (community
    wave2)
  • Section_2
    (community
    wave2)
  • Section_3a
    (community
    wave2)
  • Section_3b
    (community
    wave2)
  • Section_4a
    (community
    wave2)
  • Section_4b
    (community
    wave2)
  • Section_5
    (community
    wave2)
  • Section_0 (hh
    wave2)
  • Section_1 (hh
    wave2)
  • Section_2 (hh
    wave2)
  • Section_3 (hh
    wave2)
  • Section_4 (hh
    wave2)
  • Section_5a (hh
    wave2)
  • Section_5b (hh
    wave2)
  • Section_6a (hh
    wave2)
  • Section_6b (hh
    wave2)
  • Section_6c (hh
    wave2)
  • Section_6d (hh
    wave2)
  • Section_7 (hh
    wave2)
  • Section_8 (hh
    wave2)
  • Section_9a1 (hh
    wave2)
  • Section_9a2 (hh
    wave2)
  • Section_9a3 (hh
    wave2)
  • Section_9a4 (hh
    wave2)
  • Section_9b1 (hh
    wave2)
  • Section_9b2 (hh
    wave2)
  • Section_9c (hh
    wave2)
  • Section_9d (hh
    wave2)
  • Section_9e (hh
    wave2)
  • Section_9f (hh
    wave2)
  • Section_10 (hh
    wave2)
  • Section_11 (hh
    wave2)
  • Section_12a (hh
    wave2)
  • Section_12b (hh
    wave2)
  • Section_12c (hh
    wave2)
  • Section_12d (hh
    wave2)
  • Section_13a (hh
    wave2)
  • Section_13b (hh
    wave2)
  • Section_13c (hh
    wave2)
  • Section_13d (hh
    wave2)
  • Section_14a (hh
    wave2)
  • Section_14b (hh
    wave2)
  • Section_14c (hh
    wave2)
  • Section_15a (hh
    wave2)
  • Section_15b (hh
    wave2)
  • Section_16 (hh
    wave2)
  • Section_17 (hh
    wave2)
  • Section_0
    (community
    wave3)
  • Section_1
    (community
    wave3)
  • Section_2
    (community
    wave3)
  • Section_3a
    (community
    wave3)
  • Section_3b
    (community
    wave3)
  • Section_4a
    (community
    wave3)
  • Section_4b
    (community
    wave3)
  • Section_5
    (community
    wave3)
  • Section_0 (hh
    wave3)
  • Section_1 (hh
    wave3)
  • Section_2 (hh
    wave3)
  • Section_3 (hh
    wave3)
  • Section_4 (hh
    wave3)
  • Section_5a (hh
    wave3)
  • Section_5b (hh
    wave3)
  • Section_6a (hh
    wave3)
  • Section_6b (hh
    wave3)
  • Section_6c (hh
    wave3)
  • Section_6d (hh
    wave3)
  • Section_7 (hh
    wave3)
  • Section_8 (hh
    wave3)
  • Section_9a1 (hh
    wave3)
  • Section_9a2 (hh
    wave3)
  • Section_9a3 (hh
    wave3)
  • Section_9a4 (hh
    wave3)
  • Section_9b1 (hh
    wave3)
  • Section_9b2 (hh
    wave3)
  • Section_9c (hh
    wave3)
  • Section_9d (hh
    wave3)
  • Section_9e (hh
    wave3)
  • Section_9f (hh
    wave3)
  • Section_10 (hh
    wave3)
  • Section_11 (hh
    wave3)
  • Section_11a (hh
    wave3)
  • Section_12a (hh
    wave3)
  • Section_12b (hh
    wave3)
  • Section_12c (hh
    wave3)
  • Section_12d (hh
    wave3)
  • Section_13a (hh
    wave3)
  • Section_13b (hh
    wave3)
  • Section_13c (hh
    wave3)
  • Section_13d (hh
    wave3)
  • Section_14a (hh
    wave3)
  • Section_14b (hh
    wave3)
  • Section_14c (hh
    wave3)
  • Section_15a (hh
    wave3)
  • Section_15b (hh
    wave3)
  • Section_16 (hh
    wave3)
  • Section_17 (hh
    wave3)

Name of VDC (vdc)

Data file: Section_14c (hh wave2)

Overview

Valid: 2488
Invalid: 0
Type: Discrete
Width: 25
Range: -
Format: character

Questions and instructions

Literal question
Name of VDC
Categories
Value Category Cases
Aaglung 4
0.2%
Aathbisdandagaun 8
0.3%
Aekamba 1
0%
Ainselukharka 3
0.1%
Amalachaur 22
0.9%
Amarpatti 15
0.6%
Amraut 2
0.1%
Anarmani 11
0.4%
Arjundhara 5
0.2%
Arnaha 8
0.3%
Arthunge 9
0.4%
Avab 10
0.4%
Badalamji 6
0.2%
Badalkot 30
1.2%
Badegau 20
0.8%
Bagaha 5
0.2%
Bahuntilpung 8
0.3%
Baijanathpur 1
0%
Bajhketeria 10
0.4%
Bajrabarahi 16
0.6%
Balungpani 8
0.3%
BanakhuChor 21
0.8%
Banauli 10
0.4%
Banouta 12
0.5%
Barahachhetra 1
0%
Barahathawa 8
0.3%
Basa 2
0.1%
Bashaha 7
0.3%
Belbari 4
0.2%
Belhara 9
0.4%
Belhichapena 4
0.2%
Beriya Birta (Wa.Pu) 3
0.1%
Bhagyaswori 6
0.2%
Bhamchaur 10
0.4%
Bhanu 2
0.1%
Bharatpur 3
0.1%
Bharta Pundyadevi 4
0.2%
Bhirkot 4
0.2%
Bhotasipa 25
1%
Bhote Odar 12
0.5%
Bhujhawa 9
0.4%
Bhulke 4
0.2%
Bidyapur 16
0.6%
BijayaKharka 17
0.7%
Bijayalpura 12
0.5%
Bijayaswori (Chaurjahari) 4
0.2%
Birkot 5
0.2%
Bisalpur 2
0.1%
Bisunpura 1
0%
Boharagaun 14
0.6%
Boniya 2
0.1%
Brahmapuri 10
0.4%
Bramhatola 41
1.6%
Budhabare 3
0.1%
Chamunda 5
0.2%
Charpane 5
0.2%
Chaudandi 2
0.1%
Chaulahi 1
0%
Chaumala 5
0.2%
Chilankha 3
0.1%
Chungwang 4
0.2%
Chyanam 3
0.1%
Chyasing Kharka 16
0.6%
Dadiguranshe 1
0%
Dahiyar 11
0.4%
Daman 17
0.7%
Danabari 2
0.1%
Dandakhali 9
0.4%
Darakh 12
0.5%
Darbhung 3
0.1%
Darkha 2
0.1%
Darling 22
0.9%
Darsing Dahathum 3
0.1%
Dattu 1
0%
DayaNagar 9
0.4%
Deulekh 3
0.1%
Deurali 4
0.2%
Deuri Parbaha 15
0.6%
Dharna 3
0.1%
Dhaubini 4
0.2%
Dhitung 3
0.1%
Dhodeni 4
0.2%
Dibyapuri 5
0.2%
Dillichaur 46
1.8%
Dobhan 11
0.4%
Dubidanda 10
0.4%
Dulegaunda 7
0.3%
Durgasthan 2
0.1%
Durgauli 2
0.1%
Duwagadhi 4
0.2%
Ekarahiya 11
0.4%
Falate Bhulmu 17
0.7%
Faparbari 11
0.4%
Fatakshila 12
0.5%
Fatepur 1
0%
Gaidakot 25
1%
Gajurmukhi 3
0.1%
Ganeshthan 4
0.2%
Geta 6
0.2%
Ghetma 29
1.2%
Ghurkauli 8
0.3%
Ghyachok 2
0.1%
Gonaha 8
0.3%
Gonarpura 10
0.4%
Gumchal 2
0.1%
Gumi 11
0.4%
Gunsakot 12
0.5%
Guthisuryapura 3
0.1%
Hajariya 12
0.5%
Halwar 3
0.1%
Haraiya 11
0.4%
Hariharpur 10
0.4%
Hastichour 13
0.5%
Hasuliya 1
0%
Hathiyon 5
0.2%
Hatiya 17
0.7%
Haunchur 11
0.4%
Hekuli 2
0.1%
Histhan Mandali 18
0.7%
Hunainath 5
0.2%
Hungi 15
0.6%
Isma Rajasthal 13
0.5%
ItahariBishnupur 1
0%
Jalapadevi 1
0%
Jambukandh 14
0.6%
JanakiNagar 11
0.4%
Jarayotar 6
0.2%
Jhapra 14
0.6%
Jitpur Bhawanipur 10
0.4%
Jogidaha 15
0.6%
Jogmai 3
0.1%
Jugada 24
1%
Juming 6
0.2%
Jungar 8
0.3%
Jyamdi Mandan 13
0.5%
Kadambas 9
0.4%
Kalpabrishykha 2
0.1%
Kalyan 2
0.1%
Kankada 8
0.3%
Kaptanganj 1
0%
Kawaswoti 1
0%
Ketuke 4
0.2%
Khailad 4
0.2%
Khajurakhurda 2
0.1%
Khalanga 18
0.7%
Khalte 1
0%
Kharelthok 22
0.9%
Khiratadi 6
0.2%
Khudi 1
0%
Khudunabari 6
0.2%
Khuttapiparadhi 12
0.5%
Khyaha 6
0.2%
Kol 3
0.1%
Kortrang 6
0.2%
Kumarwarti 6
0.2%
Kurule 6
0.2%
Lahawarthakari 6
0.2%
Lakandra 7
0.3%
Lalbandi 7
0.3%
Lalutantikot 47
1.9%
Lamidada 6
0.2%
Latikoili 40
1.6%
Lipanimal 5
0.2%
Liwang 2
0.1%
Madhawapur 3
0.1%
Madhbaliya 7
0.3%
Mahabhara 1
0%
Mahadevsthan Mandan 13
0.5%
Mahamai 5
0.2%
Mahankal 25
1%
Mahat 52
2.1%
Maintara 11
0.4%
Maisthan 14
0.6%
Makar 6
0.2%
Makrahar 2
0.1%
Malakheti 2
0.1%
Mali 1
0%
Manahari 14
0.6%
Manakamana 14
0.6%
Mane Bhanjyang 6
0.2%
Manpur 8
0.3%
Martadi 27
1.1%
Masuriya 6
0.2%
Maulali 4
0.2%
Mudabhara 4
0.2%
Mudali 5
0.2%
Murtidhunga 4
0.2%
Musikot 9
0.4%
Nagre Gagarche 7
0.3%
Nalang 9
0.4%
Nandegada 4
0.2%
Narayani 1
0%
Narayanpur 3
0.1%
Narayansthan 18
0.7%
Naule Katuwal 13
0.5%
NayaBazar 6
0.2%
Necha Batase 5
0.2%
Neta 17
0.7%
Nibuwakharka 2
0.1%
Nijgadh 8
0.3%
Odanaku 33
1.3%
Okhaldhunga 16
0.6%
Padam Pokhari 7
0.3%
Padsari 12
0.5%
Pagretar 10
0.4%
Pakalihawa 1
0%
Panchkhal 10
0.4%
Parroha 2
0.1%
Parsa 6
0.2%
ParsaDewadh 10
0.4%
Pathariya 1
0%
Pawan Nagar 1
0%
Phedi 1
0%
PhikalBazar 4
0.2%
Pida 5
0.2%
Pipalchauri 10
0.4%
Piparpati Parchrouta 10
0.4%
Piprahawa 2
0.1%
Pokhari 4
0.2%
Pragatinagar 6
0.2%
Punama 3
0.1%
Rajpur 1
0%
Rakachuli 3
0.1%
Rakam Karnali 20
0.8%
Rakhu Bhagawati 19
0.8%
Raksirang 9
0.4%
Rampur 7
0.3%
Ramsikhar Jhala 6
0.2%
Rangeli 1
0%
Rangsi 2
0.1%
Raniganj 4
0.2%
Rapakot 5
0.2%
Ratanpuri 14
0.6%
Resh 5
0.2%
Rupauliya 3
0.1%
Sahare 13
0.5%
Sahasaula 11
0.4%
Sailungeswor 1
0%
Sakhuwa Mahendranagar 10
0.4%
Sakhuwa Prasauni 6
0.2%
Saljhundi 4
0.2%
Salme 28
1.1%
Samalbung 1
0%
Sanischare 1
0%
Sankhupati Chour 13
0.5%
SanoDumma 9
0.4%
Santada 1
0%
Sanusiruwari 13
0.5%
Sarmali 1
0%
Shantinagar 2
0.1%
Shantipur 10
0.4%
Shivmandir 5
0.2%
Shreepur Chhatiwan 10
0.4%
Singiya 3
0.1%
Sinhasain 21
0.8%
Sipali Chilaune 21
0.8%
Sirise 3
0.1%
Sisawakataiya 12
0.5%
Sisotiya 11
0.4%
Souraha Pharsatika 10
0.4%
Soyang 6
0.2%
Sreekot 8
0.3%
Suganikash 13
0.5%
Sukatiya 47
1.9%
Sundarbazar 2
0.1%
Sunwal 7
0.3%
Syalapakha 2
0.1%
Takuwa 1
0%
Talegaun 9
0.4%
Tamasariya 6
0.2%
Tapting 5
0.2%
Tarigaun 2
0.1%
Tarkukot 3
0.1%
Tatopani 31
1.2%
Thoksila 16
0.6%
Thori 8
0.3%
Thulo Lumpek 9
0.4%
ThuloSirubari 20
0.8%
Tikhatar 1
0%
Timure 7
0.3%
Tinkanya 4
0.2%
Turmakhad 4
0.2%
Uku 10
0.4%
Urlabari 1
0%
Valayadanda 3
0.1%
Vedetar 6
0.2%
Yagyabhumi 10
0.4%
Yangpang 7
0.3%
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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