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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F283]
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
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Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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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_14a

Overview

Valid: 37037
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 106
0.3%
Aama 115
0.3%
Aathbisdandagaun 98
0.3%
Aekamba 68
0.2%
Aginchok 69
0.2%
Ainselukharka 108
0.3%
Amahi bariyati 91
0.2%
Amalachaur 121
0.3%
Amarpatti 87
0.2%
Amraut 122
0.3%
Anarmani 124
0.3%
Anbukhaireni 81
0.2%
Arjundhara 108
0.3%
Arnaha 83
0.2%
Arthunge 101
0.3%
Avab 65
0.2%
Badalamji 95
0.3%
Badalkot 80
0.2%
Badegau 97
0.3%
Bagaha 112
0.3%
Bageswari 91
0.2%
Bahuntilpung 80
0.2%
Baijanathpur 86
0.2%
Bajhketeria 110
0.3%
Bajrabarahi 96
0.3%
Bakdhauwa 56
0.2%
Balaha Kathal 125
0.3%
Baliya 76
0.2%
Balungpani 86
0.2%
BanakhuChor 107
0.3%
Banauli 69
0.2%
Banouta 73
0.2%
Barahachhetra 85
0.2%
Barahathawa 74
0.2%
Basa 82
0.2%
Bashaha 98
0.3%
Bejapur 96
0.3%
Beladevipur 63
0.2%
Belbari 97
0.3%
Belhara 124
0.3%
Belhichapena 60
0.2%
Belkot 84
0.2%
Beriya Birta (Wa.Pu) 66
0.2%
Bhagyaswori 81
0.2%
Bhamchaur 68
0.2%
Bhanu 91
0.2%
Bharatpur 128
0.3%
Bharaul 86
0.2%
Bharta Pundyadevi 90
0.2%
Bhatkhola 98
0.3%
Bhirkot 92
0.2%
Bhotasipa 111
0.3%
Bhote Odar 102
0.3%
Bhujhawa 114
0.3%
Bhulke 99
0.3%
Bhumesthan 77
0.2%
Bidyapur 107
0.3%
BijayaKharka 85
0.2%
Bijayalpura 74
0.2%
Bijayaswori (Chaurjahari) 99
0.3%
Birkot 115
0.3%
Bisalpur 55
0.1%
Bisunpura 118
0.3%
Boharagaun 123
0.3%
Boniya 92
0.2%
Brahmapuri 84
0.2%
Bramhatola 91
0.2%
Budhabare 105
0.3%
Chameta 105
0.3%
Chamunda 75
0.2%
Charpane 104
0.3%
Chaudandi 99
0.3%
Chaughada 60
0.2%
Chaulahi 88
0.2%
Chaumala 100
0.3%
Chhang 88
0.2%
Chhapali 94
0.3%
Chhinnamasta 77
0.2%
Chilankha 84
0.2%
Chisapani 92
0.2%
Chungwang 99
0.3%
Chyanam 86
0.2%
Chyasing Kharka 102
0.3%
Dadiguranshe 75
0.2%
Dahiyar 69
0.2%
Dainiya 95
0.3%
Daman 114
0.3%
Danabari 116
0.3%
Dandagaun 79
0.2%
Dandakhali 128
0.3%
Darakh 98
0.3%
Darbhung 86
0.2%
Darkha 71
0.2%
Darling 204
0.6%
Darsing Dahathum 97
0.3%
Dattu 74
0.2%
DayaNagar 110
0.3%
Deulekh 50
0.1%
Deurali 110
0.3%
Deuri Parbaha 127
0.3%
Devadaha 115
0.3%
Devisthan 70
0.2%
Dewantar 103
0.3%
Dharna 98
0.3%
Dhaubini 75
0.2%
Dhitung 90
0.2%
Dhodeni 83
0.2%
Dhuskee 84
0.2%
Dibyapuri 92
0.2%
Dillichaur 71
0.2%
Dobhan 133
0.4%
Drabesh 96
0.3%
Dubarikot Hathalek 124
0.3%
Dubidanda 97
0.3%
Dudharakchhe 137
0.4%
Dulegaunda 101
0.3%
Durgasthan 65
0.2%
Durgauli 77
0.2%
Duwagadhi 117
0.3%
Ekarahiya 74
0.2%
Falate Bhulmu 95
0.3%
Faparbari 71
0.2%
Fatakshila 93
0.3%
Fatepur 69
0.2%
Gadhawa 84
0.2%
Gaidakot 218
0.6%
Gajurmukhi 105
0.3%
Ganeshthan 84
0.2%
Ganjari 91
0.2%
Gauriganj 88
0.2%
Geta 75
0.2%
Ghetma 111
0.3%
Ghurkauli 87
0.2%
Ghyachok 86
0.2%
Goganpani 90
0.2%
Gonaha 112
0.3%
Gonarpura 77
0.2%
Gumchal 81
0.2%
Gumi 138
0.4%
Gunsakot 81
0.2%
Guthisuryapura 103
0.3%
Hajariya 71
0.2%
Halwar 97
0.3%
Hanshposha 87
0.2%
Haraiya 73
0.2%
Hariharpur 120
0.3%
Hasandaha 95
0.3%
Hastichour 125
0.3%
Hasuliya 74
0.2%
Hathiyon 83
0.2%
Hatiya 187
0.5%
Hatpate 78
0.2%
Haunchur 101
0.3%
Hekuli 87
0.2%
Histhan Mandali 112
0.3%
Hunainath 116
0.3%
Hungi 131
0.4%
Indrapur 80
0.2%
Isma Rajasthal 122
0.3%
Itahara 87
0.2%
ItahariBishnupur 65
0.2%
Jalapadevi 100
0.3%
Jalthal 100
0.3%
Jambukandh 79
0.2%
Jamune 95
0.3%
JanakiNagar 78
0.2%
Japhe 76
0.2%
Jarayotar 116
0.3%
Jhapra 88
0.2%
Jitpur Bhawanipur 78
0.2%
Jogidaha 122
0.3%
Jogmai 115
0.3%
Jugada 91
0.2%
Juming 101
0.3%
Jungar 107
0.3%
Jyamdi Mandan 117
0.3%
Jyamrung 79
0.2%
Kadambas 97
0.3%
Kakani 69
0.2%
Kalpabrishykha 82
0.2%
Kalyan 109
0.3%
Kamahariya 98
0.3%
Kanchanpur 85
0.2%
Kankada 76
0.2%
Kaptanganj 81
0.2%
Katahari 79
0.2%
Katakuti 86
0.2%
Kaulmabarahachaur 86
0.2%
Kawaswoti 92
0.2%
Kerbani 111
0.3%
Keroun 107
0.3%
Ketuke 78
0.2%
Khailad 74
0.2%
Khajurakhurda 88
0.2%
Khalanga 111
0.3%
Khalte 70
0.2%
Kharelthok 101
0.3%
Khariyani 113
0.3%
Khejenim 96
0.3%
Khiratadi 56
0.2%
Khirsain 94
0.3%
Kholegaun Khanigau 70
0.2%
Khudi 92
0.2%
Khudunabari 108
0.3%
Khuttapiparadhi 77
0.2%
Khyaha 117
0.3%
Kohalpur 80
0.2%
Kol 76
0.2%
Kortrang 83
0.2%
Kotdarbar 87
0.2%
Kotila 124
0.3%
Kumarwarti 106
0.3%
Kurule 108
0.3%
Kushkot 54
0.1%
Ladabhir(Mahendra) 80
0.2%
Lahawarthakari 70
0.2%
Lakandra 89
0.2%
Lalbandi 92
0.2%
Lalmatiya 86
0.2%
Lalutantikot 94
0.3%
Lamidada 89
0.2%
Laphagau 99
0.3%
Latikoili 161
0.4%
Lipanimal 69
0.2%
Liwang 86
0.2%
Madhawapur 57
0.2%
Madhbaliya 120
0.3%
Madhumalla 71
0.2%
Madhyeharsahi 82
0.2%
Mahabhara 99
0.3%
Mahadevpuri 82
0.2%
Mahadevsthan 74
0.2%
Mahadevsthan Mandan 108
0.3%
Mahamai 90
0.2%
Mahankal 112
0.3%
Mahat 91
0.2%
Maintara 121
0.3%
Maisthan 92
0.2%
Makar 116
0.3%
Makhanaha 116
0.3%
Makrahar 112
0.3%
Malakheti 83
0.2%
Mali 76
0.2%
Manahari 102
0.3%
Manakamana 74
0.2%
Mane Bhanjyang 101
0.3%
Manpur 152
0.4%
Martadi 82
0.2%
Masuriya 99
0.3%
Maulali 67
0.2%
Mohanpur 88
0.2%
Mudabhara 126
0.3%
Mudali 74
0.2%
Murtidhunga 108
0.3%
Musikot 121
0.3%
Nagarjun 62
0.2%
Nagre Gagarche 87
0.2%
Nalang 87
0.2%
Nandegada 70
0.2%
Narayani 103
0.3%
Narayanpur 68
0.2%
Narayansthan 100
0.3%
Naubasta 92
0.2%
Naule Katuwal 96
0.3%
NayaBazar 118
0.3%
Necha Batase 98
0.3%
Neta 125
0.3%
Nibuwakharka 89
0.2%
Nijgadh 76
0.2%
Nilkantha 95
0.3%
Nipane 79
0.2%
Odanaku 64
0.2%
Okhaldhunga 107
0.3%
Padam Pokhari 79
0.2%
Padsari 117
0.3%
Pagretar 85
0.2%
Pakali 60
0.2%
Pakalihawa 100
0.3%
Palumtar 83
0.2%
Panchkhal 111
0.3%
Pang 71
0.2%
Parroha 123
0.3%
Parsa 59
0.2%
ParsaDewadh 73
0.2%
Patanuka 121
0.3%
Pathari 77
0.2%
Pathariya 181
0.5%
Pawan Nagar 87
0.2%
Phakumba 90
0.2%
Phedi 82
0.2%
PhikalBazar 120
0.3%
Phulwari 59
0.2%
Pida 87
0.2%
Pipalchauri 96
0.3%
Piparpati Parchrouta 75
0.2%
Piprahawa 68
0.2%
Pokhari 97
0.3%
Portaha 74
0.2%
Pragatinagar 119
0.3%
Punama 89
0.2%
Rajhena 92
0.2%
Rajpur 89
0.2%
Rakachuli 113
0.3%
Rakam Karnali 76
0.2%
Rakhu Bhagawati 104
0.3%
Raksirang 78
0.2%
Ramganj Belgachhi 87
0.2%
Ramjakot 99
0.3%
Rampur 129
0.3%
Ramsikhar Jhala 79
0.2%
Rangeli 93
0.3%
Rangsi 72
0.2%
Raniganj 74
0.2%
Rapakot 103
0.3%
Ratanpuri 77
0.2%
Ratnawati 69
0.2%
Resh 93
0.3%
Rudrapur 126
0.3%
Rupauliya 95
0.3%
Sadepani 78
0.2%
Sahare 119
0.3%
Sahasaula 82
0.2%
Sailungeswor 76
0.2%
Sainpasela 52
0.1%
Sakhuwa Mahendranagar 116
0.3%
Sakhuwa Prasauni 72
0.2%
Saljhundi 123
0.3%
Salleri 98
0.3%
Salme 60
0.2%
Samalbung 112
0.3%
Sangkosh 71
0.2%
Sanischare 112
0.3%
Sankhupati Chour 121
0.3%
SanoDumma 106
0.3%
Santada 97
0.3%
Sanusiruwari 81
0.2%
Sanwa 81
0.2%
Sarmali 50
0.1%
Satbariya 83
0.2%
Shankar Nagar 112
0.3%
Shantinagar 106
0.3%
Shantipur 141
0.4%
Shivmandir 115
0.3%
Shreepur Chhatiwan 83
0.2%
Sijuwa 104
0.3%
Simraha Sigiyoun 51
0.1%
Singiya 83
0.2%
Sinhasain 86
0.2%
Sipali Chilaune 112
0.3%
Sirise 112
0.3%
Sisahaniya 79
0.2%
Sisawakataiya 77
0.2%
Sisotiya 71
0.2%
Sitapur 95
0.3%
Souraha Pharsatika 119
0.3%
Soyang 121
0.3%
Sreekot 137
0.4%
Suganikash 125
0.3%
Sugarkhal 76
0.2%
Sukatiya 83
0.2%
Sundarbazar 97
0.3%
Sungdel 83
0.2%
Sunwal 122
0.3%
Surunga 98
0.3%
Syalapakha 97
0.3%
Taksar 91
0.2%
Takuwa 106
0.3%
Talabang 92
0.2%
Talegaun 85
0.2%
Tamasariya 115
0.3%
Tanahunsur 106
0.3%
Tapting 95
0.3%
Tarigaun 99
0.3%
Tarkukot 83
0.2%
Taruka 81
0.2%
Tatopani 171
0.5%
Thakre 92
0.2%
Thoksila 130
0.4%
Thori 84
0.2%
Thulo Lumpek 121
0.3%
ThuloSirubari 81
0.2%
Tikhatar 66
0.2%
Tikuligadh 104
0.3%
Timure 108
0.3%
Tinkanya 79
0.2%
Turmakhad 45
0.1%
Udayapur 68
0.2%
Uku 69
0.2%
Urlabari 84
0.2%
Urma 63
0.2%
Valayadanda 106
0.3%
Vedetar 91
0.2%
Yagyabhumi 119
0.3%
Yangpang 119
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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