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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
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Oct 06, 2020
Last modified
Nov 08, 2022
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Name of VDC (vdc)

Data file: Section_13a

Overview

Valid: 811
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 5
0.6%
Aathbisdandagaun 2
0.2%
Aekamba 9
1.1%
Aginchok 3
0.4%
Amalachaur 2
0.2%
Anarmani 9
1.1%
Anbukhaireni 10
1.2%
Arjundhara 7
0.9%
Arthunge 2
0.2%
Bageswari 1
0.1%
Baijanathpur 7
0.9%
Bajhketeria 1
0.1%
Bakdhauwa 4
0.5%
Baliya 2
0.2%
Balungpani 15
1.8%
Barahachhetra 5
0.6%
Bejapur 1
0.1%
Beladevipur 4
0.5%
Belbari 5
0.6%
Belhara 1
0.1%
Belhichapena 1
0.1%
Bhanu 7
0.9%
Bharaul 6
0.7%
Bharta Pundyadevi 1
0.1%
Bhatkhola 23
2.8%
Bhirkot 10
1.2%
Bhote Odar 13
1.6%
Bhumesthan 13
1.6%
Bijayaswori (Chaurjahari) 1
0.1%
Birkot 1
0.1%
Boharagaun 2
0.2%
Boniya 2
0.2%
Budhabare 8
1%
Chamunda 1
0.1%
Charpane 3
0.4%
Chaumala 4
0.5%
Chhang 17
2.1%
Chhapali 1
0.1%
Danabari 7
0.9%
Darakh 3
0.4%
Darbhung 3
0.4%
Darkha 3
0.4%
Darling 4
0.5%
Darsing Dahathum 19
2.3%
Dattu 5
0.6%
Dharna 1
0.1%
Dhodeni 1
0.1%
Dhuskee 6
0.7%
Dibyapuri 2
0.2%
Dobhan 4
0.5%
Dubidanda 5
0.6%
Dulegaunda 16
2%
Durgasthan 1
0.1%
Durgauli 1
0.1%
Duwagadhi 14
1.7%
Fatepur 2
0.2%
Gaidakot 2
0.2%
Gajurmukhi 8
1%
Gauriganj 15
1.8%
Ghyachok 4
0.5%
Goganpani 2
0.2%
Gumchal 3
0.4%
Gumi 2
0.2%
Hanshposha 2
0.2%
Hastichour 3
0.4%
Hasuliya 4
0.5%
Hatiya 3
0.4%
Haunchur 1
0.1%
Hunainath 1
0.1%
Hungi 4
0.5%
Isma Rajasthal 1
0.1%
Itahara 3
0.4%
Jalthal 14
1.7%
Jamune 7
0.9%
Jhapra 4
0.5%
Juming 1
0.1%
Jungar 4
0.5%
Jyamrung 3
0.4%
Kakani 1
0.1%
Kalyan 1
0.1%
Kanchanpur 3
0.4%
Kaptanganj 5
0.6%
Kaulmabarahachaur 15
1.8%
Kawaswoti 1
0.1%
Khailad 4
0.5%
Khalanga 2
0.2%
Khalte 1
0.1%
Khejenim 21
2.6%
Khudi 7
0.9%
Khudunabari 14
1.7%
Khyaha 4
0.5%
Kotdarbar 13
1.6%
Kurule 2
0.2%
Lakandra 3
0.4%
Lalmatiya 3
0.4%
Laphagau 2
0.2%
Liwang 1
0.1%
Madhawapur 2
0.2%
Madhumalla 2
0.2%
Madhyeharsahi 7
0.9%
Mahabhara 12
1.5%
Mahadevsthan 3
0.4%
Mahamai 4
0.5%
Maintara 1
0.1%
Malakheti 1
0.1%
Masuriya 1
0.1%
Mohanpur 1
0.1%
Murtidhunga 2
0.2%
Musikot 2
0.2%
Nagarjun 1
0.1%
Nalang 2
0.2%
Narayanpur 4
0.5%
Narayansthan 9
1.1%
NayaBazar 1
0.1%
Nibuwakharka 16
2%
Nilkantha 1
0.1%
Okhaldhunga 1
0.1%
Pakali 7
0.9%
Palumtar 4
0.5%
Pang 1
0.1%
Pathari 3
0.4%
Pathariya 15
1.8%
Phakumba 13
1.6%
Phedi 2
0.2%
Phulwari 3
0.4%
Pida 3
0.4%
Portaha 3
0.4%
Punama 2
0.2%
Rakhu Bhagawati 4
0.5%
Ramjakot 17
2.1%
Ramsikhar Jhala 3
0.4%
Rangeli 3
0.4%
Rapakot 23
2.8%
Resh 5
0.6%
Sahare 1
0.1%
Salleri 1
0.1%
Samalbung 1
0.1%
Sangkosh 3
0.4%
Sanischare 8
1%
Sanwa 12
1.5%
Shankar Nagar 1
0.1%
Shantinagar 6
0.7%
Shantipur 3
0.4%
Simraha Sigiyoun 1
0.1%
Singiya 7
0.9%
Sisahaniya 2
0.2%
Sugarkhal 2
0.2%
Sundarbazar 10
1.2%
Sungdel 1
0.1%
Surunga 11
1.4%
Syalapakha 3
0.4%
Taksar 14
1.7%
Talabang 1
0.1%
Talegaun 2
0.2%
Tanahunsur 5
0.6%
Tapting 1
0.1%
Tarkukot 8
1%
Thakre 2
0.2%
Thoksila 1
0.1%
Thulo Lumpek 2
0.2%
ThuloSirubari 1
0.1%
Timure 3
0.4%
Urlabari 4
0.5%
Urma 5
0.6%
Valayadanda 1
0.1%
Vedetar 2
0.2%
Yangpang 2
0.2%
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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