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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F215]
agricultural-surveys

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
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
Page views
177286
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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_9a2

Overview

Valid: 1051
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 1
0.1%
Aekamba 3
0.3%
Aginchok 1
0.1%
Ainselukharka 3
0.3%
Amahi bariyati 2
0.2%
Amalachaur 5
0.5%
Amraut 3
0.3%
Anbukhaireni 2
0.2%
Arjundhara 2
0.2%
Arnaha 1
0.1%
Arthunge 4
0.4%
Avab 1
0.1%
Badalamji 6
0.6%
Badegau 4
0.4%
Bagaha 1
0.1%
Baijanathpur 1
0.1%
Bajrabarahi 6
0.6%
Bakdhauwa 6
0.6%
Balaha Kathal 1
0.1%
Baliya 2
0.2%
Balungpani 4
0.4%
BanakhuChor 1
0.1%
Banauli 1
0.1%
Banouta 7
0.7%
Barahachhetra 1
0.1%
Barahathawa 2
0.2%
Basa 2
0.2%
Bashaha 3
0.3%
Bejapur 6
0.6%
Beladevipur 9
0.9%
Belhara 1
0.1%
Belhichapena 3
0.3%
Belkot 3
0.3%
Beriya Birta (Wa.Pu) 3
0.3%
Bhagyaswori 1
0.1%
Bhamchaur 2
0.2%
Bharaul 5
0.5%
Bharta Pundyadevi 1
0.1%
Bhirkot 5
0.5%
Bhotasipa 3
0.3%
Bhote Odar 1
0.1%
Bhujhawa 3
0.3%
Bhulke 2
0.2%
Bidyapur 3
0.3%
BijayaKharka 4
0.4%
Bijayalpura 7
0.7%
Bijayaswori (Chaurjahari) 4
0.4%
Bisalpur 3
0.3%
Boniya 5
0.5%
Brahmapuri 1
0.1%
Bramhatola 4
0.4%
Budhabare 3
0.3%
Chameta 5
0.5%
Chamunda 2
0.2%
Charpane 1
0.1%
Chaudandi 3
0.3%
Chaughada 3
0.3%
Chaulahi 6
0.6%
Chaumala 8
0.8%
Chhang 2
0.2%
Chhinnamasta 12
1.1%
Chilankha 1
0.1%
Chisapani 1
0.1%
Chungwang 2
0.2%
Chyanam 6
0.6%
Chyasing Kharka 2
0.2%
Dadiguranshe 5
0.5%
Dahiyar 1
0.1%
Daman 3
0.3%
Danabari 3
0.3%
Dandakhali 2
0.2%
Darakh 2
0.2%
Darkha 1
0.1%
Darling 1
0.1%
Dattu 1
0.1%
DayaNagar 3
0.3%
Deuri Parbaha 1
0.1%
Devisthan 2
0.2%
Dewantar 6
0.6%
Dharna 4
0.4%
Dhitung 5
0.5%
Dhuskee 5
0.5%
Dibyapuri 2
0.2%
Dillichaur 1
0.1%
Drabesh 2
0.2%
Dudharakchhe 2
0.2%
Dulegaunda 1
0.1%
Durgasthan 3
0.3%
Durgauli 2
0.2%
Duwagadhi 8
0.8%
Ekarahiya 5
0.5%
Falate Bhulmu 4
0.4%
Faparbari 2
0.2%
Fatakshila 7
0.7%
Gadhawa 4
0.4%
Gaidakot 2
0.2%
Gajurmukhi 2
0.2%
Ganeshthan 2
0.2%
Ganjari 3
0.3%
Gauriganj 3
0.3%
Geta 9
0.9%
Ghetma 1
0.1%
Ghyachok 1
0.1%
Goganpani 1
0.1%
Gonaha 2
0.2%
Gonarpura 2
0.2%
Gumchal 1
0.1%
Gumi 1
0.1%
Gunsakot 2
0.2%
Hajariya 1
0.1%
Halwar 4
0.4%
Haraiya 1
0.1%
Hasandaha 2
0.2%
Hastichour 1
0.1%
Hasuliya 4
0.4%
Hathiyon 2
0.2%
Hatiya 8
0.8%
Hatpate 5
0.5%
Haunchur 4
0.4%
Hekuli 4
0.4%
Histhan Mandali 1
0.1%
Hunainath 1
0.1%
Hungi 3
0.3%
Indrapur 5
0.5%
Isma Rajasthal 4
0.4%
Itahara 5
0.5%
ItahariBishnupur 8
0.8%
Jalapadevi 1
0.1%
Jalthal 3
0.3%
Jambukandh 2
0.2%
JanakiNagar 6
0.6%
Japhe 4
0.4%
Jarayotar 6
0.6%
Jogidaha 4
0.4%
Jogmai 1
0.1%
Jugada 3
0.3%
Jyamdi Mandan 1
0.1%
Jyamrung 4
0.4%
Kadambas 3
0.3%
Kakani 2
0.2%
Kalpabrishykha 5
0.5%
Kamahariya 3
0.3%
Kanchanpur 4
0.4%
Kankada 3
0.3%
Kaptanganj 5
0.5%
Katakuti 3
0.3%
Kaulmabarahachaur 2
0.2%
Kawaswoti 5
0.5%
Kerbani 2
0.2%
Keroun 5
0.5%
Ketuke 4
0.4%
Khailad 2
0.2%
Khalanga 1
0.1%
Khalte 5
0.5%
Kharelthok 6
0.6%
Khariyani 1
0.1%
Khejenim 13
1.2%
Khudi 4
0.4%
Khudunabari 4
0.4%
Khuttapiparadhi 3
0.3%
Kohalpur 2
0.2%
Kortrang 2
0.2%
Kotdarbar 1
0.1%
Kotila 1
0.1%
Kumarwarti 9
0.9%
Kushkot 2
0.2%
Ladabhir(Mahendra) 4
0.4%
Lakandra 1
0.1%
Lalmatiya 1
0.1%
Lalutantikot 2
0.2%
Lamidada 3
0.3%
Laphagau 4
0.4%
Latikoili 7
0.7%
Lipanimal 1
0.1%
Liwang 1
0.1%
Madhawapur 2
0.2%
Madhbaliya 6
0.6%
Madhumalla 5
0.5%
Madhyeharsahi 3
0.3%
Mahabhara 6
0.6%
Mahadevsthan 3
0.3%
Mahadevsthan Mandan 2
0.2%
Mahamai 7
0.7%
Mahankal 1
0.1%
Mahat 1
0.1%
Maintara 1
0.1%
Maisthan 5
0.5%
Makar 3
0.3%
Makrahar 5
0.5%
Malakheti 1
0.1%
Mali 1
0.1%
Manahari 2
0.2%
Manakamana 2
0.2%
Mane Bhanjyang 1
0.1%
Manpur 7
0.7%
Martadi 1
0.1%
Masuriya 4
0.4%
Mohanpur 1
0.1%
Mudali 1
0.1%
Murtidhunga 4
0.4%
Musikot 4
0.4%
Nagre Gagarche 8
0.8%
Nalang 3
0.3%
Nandegada 3
0.3%
Narayani 18
1.7%
Narayanpur 6
0.6%
Narayansthan 4
0.4%
Naubasta 6
0.6%
Naule Katuwal 3
0.3%
NayaBazar 3
0.3%
Necha Batase 3
0.3%
Neta 2
0.2%
Nibuwakharka 2
0.2%
Nijgadh 2
0.2%
Nilkantha 1
0.1%
Nipane 4
0.4%
Odanaku 3
0.3%
Okhaldhunga 1
0.1%
Padam Pokhari 2
0.2%
Padsari 5
0.5%
Pagretar 9
0.9%
Pakalihawa 2
0.2%
Palumtar 1
0.1%
Panchkhal 7
0.7%
Pang 1
0.1%
Parroha 2
0.2%
Parsa 1
0.1%
ParsaDewadh 5
0.5%
Patanuka 1
0.1%
Pathariya 7
0.7%
Pawan Nagar 9
0.9%
Phakumba 11
1%
Phedi 6
0.6%
PhikalBazar 3
0.3%
Phulwari 3
0.3%
Pida 1
0.1%
Pipalchauri 1
0.1%
Piparpati Parchrouta 1
0.1%
Piprahawa 2
0.2%
Pokhari 2
0.2%
Portaha 1
0.1%
Pragatinagar 1
0.1%
Rajhena 1
0.1%
Rajpur 7
0.7%
Rakam Karnali 3
0.3%
Raksirang 4
0.4%
Ramganj Belgachhi 2
0.2%
Rampur 1
0.1%
Ramsikhar Jhala 5
0.5%
Rangeli 2
0.2%
Rangsi 2
0.2%
Raniganj 4
0.4%
Rapakot 1
0.1%
Resh 6
0.6%
Rudrapur 4
0.4%
Rupauliya 2
0.2%
Sadepani 5
0.5%
Sahasaula 10
1%
Sailungeswor 4
0.4%
Saljhundi 5
0.5%
Salme 4
0.4%
Samalbung 2
0.2%
Sangkosh 3
0.3%
Sanischare 8
0.8%
Sankhupati Chour 4
0.4%
SanoDumma 6
0.6%
Sanusiruwari 3
0.3%
Sanwa 9
0.9%
Sarmali 2
0.2%
Satbariya 7
0.7%
Shankar Nagar 2
0.2%
Shantinagar 2
0.2%
Shantipur 4
0.4%
Shivmandir 4
0.4%
Shreepur Chhatiwan 4
0.4%
Sijuwa 2
0.2%
Simraha Sigiyoun 7
0.7%
Singiya 2
0.2%
Sinhasain 2
0.2%
Sirise 1
0.1%
Sisahaniya 12
1.1%
Sisotiya 2
0.2%
Sitapur 3
0.3%
Souraha Pharsatika 6
0.6%
Soyang 3
0.3%
Sreekot 1
0.1%
Suganikash 1
0.1%
Sugarkhal 3
0.3%
Sukatiya 2
0.2%
Sundarbazar 4
0.4%
Sungdel 4
0.4%
Sunwal 1
0.1%
Surunga 6
0.6%
Syalapakha 2
0.2%
Taksar 1
0.1%
Takuwa 3
0.3%
Talabang 1
0.1%
Talegaun 1
0.1%
Tanahunsur 4
0.4%
Tapting 4
0.4%
Tarigaun 1
0.1%
Tarkukot 1
0.1%
Tatopani 5
0.5%
Thakre 6
0.6%
Thoksila 2
0.2%
ThuloSirubari 4
0.4%
Tikhatar 3
0.3%
Tikuligadh 4
0.4%
Tinkanya 2
0.2%
Udayapur 5
0.5%
Uku 1
0.1%
Urma 3
0.3%
Valayadanda 4
0.4%
Vedetar 5
0.5%
Yagyabhumi 1
0.1%
Yangpang 3
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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