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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F167]
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
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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: 721
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
Aekamba 1
0.1%
Ainselukharka 3
0.4%
Amahi bariyati 1
0.1%
Amraut 2
0.3%
Arjundhara 1
0.1%
Arthunge 3
0.4%
Avab 3
0.4%
Badalamji 4
0.6%
Badegau 4
0.6%
Baijanathpur 1
0.1%
Bajrabarahi 6
0.8%
Baliya 2
0.3%
Balungpani 3
0.4%
BanakhuChor 1
0.1%
Banauli 1
0.1%
Banouta 4
0.6%
Barahathawa 2
0.3%
Basa 2
0.3%
Bashaha 2
0.3%
Bejapur 3
0.4%
Beladevipur 8
1.1%
Belhichapena 1
0.1%
Belkot 2
0.3%
Beriya Birta (Wa.Pu) 3
0.4%
Bhagyaswori 1
0.1%
Bharaul 2
0.3%
Bharta Pundyadevi 1
0.1%
Bhirkot 1
0.1%
Bhotasipa 3
0.4%
Bhujhawa 3
0.4%
Bhulke 2
0.3%
Bidyapur 3
0.4%
BijayaKharka 3
0.4%
Bijayalpura 4
0.6%
Bijayaswori (Chaurjahari) 4
0.6%
Boniya 4
0.6%
Bramhatola 3
0.4%
Budhabare 2
0.3%
Chamunda 1
0.1%
Chaudandi 3
0.4%
Chaughada 1
0.1%
Chaulahi 3
0.4%
Chaumala 8
1.1%
Chhinnamasta 1
0.1%
Chisapani 1
0.1%
Chungwang 1
0.1%
Chyanam 2
0.3%
Chyasing Kharka 2
0.3%
Dadiguranshe 4
0.6%
Dahiyar 3
0.4%
Daman 3
0.4%
Danabari 3
0.4%
Dandakhali 1
0.1%
Darakh 2
0.3%
Darkha 1
0.1%
Darling 1
0.1%
DayaNagar 1
0.1%
Devisthan 1
0.1%
Dewantar 5
0.7%
Dharna 3
0.4%
Dhaubini 1
0.1%
Dhitung 3
0.4%
Dhuskee 1
0.1%
Dibyapuri 1
0.1%
Dillichaur 1
0.1%
Drabesh 2
0.3%
Dudharakchhe 1
0.1%
Durgasthan 2
0.3%
Durgauli 1
0.1%
Duwagadhi 8
1.1%
Ekarahiya 4
0.6%
Falate Bhulmu 4
0.6%
Faparbari 2
0.3%
Fatakshila 7
1%
Gadhawa 3
0.4%
Gaidakot 2
0.3%
Ganeshthan 1
0.1%
Gauriganj 3
0.4%
Geta 8
1.1%
Goganpani 1
0.1%
Gumchal 1
0.1%
Gumi 1
0.1%
Gunsakot 2
0.3%
Halwar 4
0.6%
Haraiya 1
0.1%
Hasandaha 1
0.1%
Hasuliya 4
0.6%
Hathiyon 2
0.3%
Hatiya 6
0.8%
Hatpate 5
0.7%
Haunchur 4
0.6%
Hekuli 5
0.7%
Histhan Mandali 1
0.1%
Hungi 2
0.3%
Indrapur 4
0.6%
Isma Rajasthal 2
0.3%
Itahara 4
0.6%
ItahariBishnupur 3
0.4%
Jalthal 2
0.3%
JanakiNagar 5
0.7%
Japhe 3
0.4%
Jarayotar 6
0.8%
Jogidaha 4
0.6%
Jogmai 1
0.1%
Jugada 3
0.4%
Jyamdi Mandan 1
0.1%
Jyamrung 4
0.6%
Kadambas 3
0.4%
Kakani 2
0.3%
Kalpabrishykha 5
0.7%
Kamahariya 1
0.1%
Kanchanpur 3
0.4%
Kankada 4
0.6%
Katakuti 3
0.4%
Kaulmabarahachaur 1
0.1%
Kawaswoti 3
0.4%
Kerbani 1
0.1%
Ketuke 1
0.1%
Khailad 2
0.3%
Khalanga 1
0.1%
Khalte 2
0.3%
Kharelthok 6
0.8%
Khejenim 11
1.5%
Khudunabari 2
0.3%
Kortrang 1
0.1%
Kumarwarti 5
0.7%
Ladabhir(Mahendra) 4
0.6%
Lahawarthakari 3
0.4%
Lakandra 1
0.1%
Lamidada 2
0.3%
Laphagau 3
0.4%
Latikoili 6
0.8%
Lipanimal 1
0.1%
Liwang 1
0.1%
Madhawapur 1
0.1%
Madhbaliya 6
0.8%
Madhumalla 1
0.1%
Madhyeharsahi 2
0.3%
Mahabhara 6
0.8%
Mahadevsthan 3
0.4%
Mahadevsthan Mandan 2
0.3%
Mahamai 5
0.7%
Mahankal 1
0.1%
Mahat 1
0.1%
Maintara 1
0.1%
Maisthan 5
0.7%
Makar 3
0.4%
Makrahar 3
0.4%
Malakheti 1
0.1%
Manahari 2
0.3%
Manakamana 2
0.3%
Mane Bhanjyang 1
0.1%
Manpur 4
0.6%
Martadi 1
0.1%
Masuriya 4
0.6%
Mohanpur 1
0.1%
Mudabhara 1
0.1%
Mudali 1
0.1%
Murtidhunga 4
0.6%
Musikot 3
0.4%
Nagarjun 1
0.1%
Nagre Gagarche 8
1.1%
Nalang 2
0.3%
Narayani 16
2.2%
Narayanpur 6
0.8%
Narayansthan 1
0.1%
Naubasta 5
0.7%
Naule Katuwal 3
0.4%
NayaBazar 1
0.1%
Necha Batase 2
0.3%
Neta 1
0.1%
Nijgadh 2
0.3%
Nipane 4
0.6%
Odanaku 3
0.4%
Okhaldhunga 1
0.1%
Padsari 2
0.3%
Pagretar 8
1.1%
Pakalihawa 1
0.1%
Panchkhal 7
1%
Pang 1
0.1%
Parroha 2
0.3%
ParsaDewadh 3
0.4%
Pathariya 4
0.6%
Pawan Nagar 8
1.1%
Phakumba 7
1%
Phedi 5
0.7%
PhikalBazar 1
0.1%
Phulwari 3
0.4%
Piparpati Parchrouta 1
0.1%
Piprahawa 1
0.1%
Pokhari 1
0.1%
Pragatinagar 1
0.1%
Rajpur 1
0.1%
Raksirang 4
0.6%
Ramganj Belgachhi 2
0.3%
Ramsikhar Jhala 5
0.7%
Rangeli 1
0.1%
Rangsi 2
0.3%
Raniganj 3
0.4%
Ratanpuri 1
0.1%
Resh 1
0.1%
Rudrapur 1
0.1%
Rupauliya 1
0.1%
Sadepani 4
0.6%
Sahasaula 10
1.4%
Sailungeswor 4
0.6%
Sakhuwa Prasauni 1
0.1%
Saljhundi 5
0.7%
Samalbung 2
0.3%
Sangkosh 2
0.3%
Sanischare 8
1.1%
Sankhupati Chour 3
0.4%
SanoDumma 5
0.7%
Sanusiruwari 3
0.4%
Sanwa 9
1.2%
Sarmali 1
0.1%
Satbariya 7
1%
Shantinagar 2
0.3%
Shantipur 2
0.3%
Shivmandir 3
0.4%
Shreepur Chhatiwan 2
0.3%
Simraha Sigiyoun 3
0.4%
Sinhasain 1
0.1%
Sisahaniya 5
0.7%
Sisotiya 2
0.3%
Sitapur 2
0.3%
Souraha Pharsatika 3
0.4%
Soyang 3
0.4%
Sreekot 1
0.1%
Suganikash 1
0.1%
Sugarkhal 1
0.1%
Sukatiya 2
0.3%
Sundarbazar 3
0.4%
Sungdel 4
0.6%
Surunga 5
0.7%
Syalapakha 1
0.1%
Takuwa 1
0.1%
Talabang 1
0.1%
Talegaun 1
0.1%
Tapting 1
0.1%
Tarigaun 1
0.1%
Tatopani 4
0.6%
Thakre 3
0.4%
Thori 6
0.8%
ThuloSirubari 4
0.6%
Tikhatar 2
0.3%
Tikuligadh 1
0.1%
Tinkanya 1
0.1%
Udayapur 5
0.7%
Urma 3
0.4%
Valayadanda 4
0.6%
Vedetar 5
0.7%
Yagyabhumi 1
0.1%
Yangpang 3
0.4%
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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