Dataset for Aquaculture Characterization in Kenya

Data were collected in August 2024 through computer-assisted personal interviews (CAPIs) conducted on mobile tablets. A KoBo-based questionnaire was administered by 38 trained enumerators. Employing a multistage sampling approach, purposive and simple random sampling techniques were utilized to sele...

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Detalles Bibliográficos
Autores principales: Brako Dompreh, Eric, Manyise, Timothy, Rossignoli, Cristiano
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/168300
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author Brako Dompreh, Eric
Manyise, Timothy
Rossignoli, Cristiano
author_browse Brako Dompreh, Eric
Manyise, Timothy
Rossignoli, Cristiano
author_facet Brako Dompreh, Eric
Manyise, Timothy
Rossignoli, Cristiano
author_sort Brako Dompreh, Eric
collection Repository of Agricultural Research Outputs (CGSpace)
description Data were collected in August 2024 through computer-assisted personal interviews (CAPIs) conducted on mobile tablets. A KoBo-based questionnaire was administered by 38 trained enumerators. Employing a multistage sampling approach, purposive and simple random sampling techniques were utilized to select 5315 farmers across Kenya. This study aimed to understand aquaculture production practices and associated livelihood activities. The collected data encompasses various aspects, including demographics, land ownership, production details, poverty levels, food security, income sources, livestock holdings, climate factors, and gender dynamics.
format Conjunto de datos
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language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
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spelling CGSpace1683002026-01-01T07:04:56Z Dataset for Aquaculture Characterization in Kenya Brako Dompreh, Eric Manyise, Timothy Rossignoli, Cristiano aquaculture kenya characterization land ownership fish gender survey livestocks incomes climate-change kobotoolbox tilapia and catfish aquaculture Data were collected in August 2024 through computer-assisted personal interviews (CAPIs) conducted on mobile tablets. A KoBo-based questionnaire was administered by 38 trained enumerators. Employing a multistage sampling approach, purposive and simple random sampling techniques were utilized to select 5315 farmers across Kenya. This study aimed to understand aquaculture production practices and associated livelihood activities. The collected data encompasses various aspects, including demographics, land ownership, production details, poverty levels, food security, income sources, livestock holdings, climate factors, and gender dynamics. 2024-12-24T02:26:27Z 2024-12-24T02:26:27Z Dataset https://hdl.handle.net/10568/168300 en Limited Access Eric Brako Dompreh, Timothy Manyise, Cristiano Rossignoli. (16/12/2024). Dataset for Aquaculture Characterization in Kenya [Survey Data].
spellingShingle aquaculture
kenya
characterization
land ownership
fish
gender survey
livestocks
incomes
climate-change
kobotoolbox
tilapia and catfish aquaculture
Brako Dompreh, Eric
Manyise, Timothy
Rossignoli, Cristiano
Dataset for Aquaculture Characterization in Kenya
title Dataset for Aquaculture Characterization in Kenya
title_full Dataset for Aquaculture Characterization in Kenya
title_fullStr Dataset for Aquaculture Characterization in Kenya
title_full_unstemmed Dataset for Aquaculture Characterization in Kenya
title_short Dataset for Aquaculture Characterization in Kenya
title_sort dataset for aquaculture characterization in kenya
topic aquaculture
kenya
characterization
land ownership
fish
gender survey
livestocks
incomes
climate-change
kobotoolbox
tilapia and catfish aquaculture
url https://hdl.handle.net/10568/168300
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