Dataset for Aquaculture Characterization in Kenya (doi:10.7910/DVN/EJF326)

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Part 2: Study Description
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Document Description

Citation

Title:

Dataset for Aquaculture Characterization in Kenya

Identification Number:

doi:10.7910/DVN/EJF326

Distributor:

Harvard Dataverse

Date of Distribution:

2024-12-23

Version:

3

Bibliographic Citation:

Brako Dompreh, Eric; Manyise, Timothy; Rossignoli, Cristiano, 2024, "Dataset for Aquaculture Characterization in Kenya", https://doi.org/10.7910/DVN/EJF326, Harvard Dataverse, V3

Study Description

Citation

Title:

Dataset for Aquaculture Characterization in Kenya

Identification Number:

doi:10.7910/DVN/EJF326

Identification Number:

46032

Authoring Entity:

Brako Dompreh, Eric (WorldFish)

Manyise, Timothy (WorldFish)

Rossignoli, Cristiano (WorldFish)

Other identifications and acknowledgements:

Resilient Agrifood System-RAFS-AqFI

Producer:

WorldFish

Date of Production:

2024-12-16

Software used in Production:

Kobotoolbox

Distributor:

Harvard Dataverse

Distributor:

WorldFish

Access Authority:

Brako Dompreh, Eric

Depositor:

WorldFish RDM Team

Date of Deposit:

2024-12-24

Holdings Information:

https://doi.org/10.7910/DVN/EJF326

Study Scope

Keywords:

Agricultural Sciences, aquaculture, kenya, characterization, tilapia and catfish aquaculture, land ownership, fish, gender survey, livestocks, incomes, climate-change, kobotoolbox

Abstract:

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.

Time Period:

2022-04-01-2024-12-31

Country:

Kenya

Unit of Analysis:

Aquaculture farmers

Universe:

Aquatic food system actors

Kind of Data:

Survey Data

Notes:

Type: Dataset; Sub-type(s): Survey Data

Methodology and Processing

Time Method:

Cross-sectional

Sampling Procedure:

Multistage sampling, using purposive and simple random sampling

Sources Statement

Data Access

Availability Status:

Limited access, Embargo date: 2025-12-31

Notes:

https://mel.cgiar.org/dspace/limited

Other Study Description Materials

Other Study-Related Materials

Label:

AQUACULTURE_CHARACTERIZATION_STUDY_IN_KENYA_V2.xlsx

Text:

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

AQUACULTURE_CHARACTERIZATION_with_english_headings_ANO.xlsx

Text:

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

Data Dictionary Characterization in Kenya.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

Questionnaire_Aquaculture_characterization_study_in_Kenya_ANO.docx

Notes:

application/vnd.openxmlformats-officedocument.wordprocessingml.document