Socioeconomic Data on Fisheries Workers: Availability and Strategies for Better Data Quality

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dc.creatorMigliaccio, Emanuela
dc.creatorNico, Gianluigi
dc.date2026-02-03T16:39:29Z
dc.date2026-02-03T16:39:29Z
dc.date2026-01-22
dc.date.accessioned2026-07-01T00:30:09Z
dc.descriptionThis technical note examines the current landscape and key challenges in collecting high-quality socioeconomic data on fisheries workers and their households. Recognizing the critical role of fisheries and aquaculture in global food security, nutrition, and employment, the note highlights data gaps that hinder effective policy making, vulnerability assessment, and the design of social protection programs. Drawing on the Blue Social Protection Handbook: Protecting People, Fish and Food, the note reviews existing data sources, such as administrative records, household and labor force surveys, and ecological datasets, and assesses their respective strengths and limitations. It also provides guidance for collecting new quantitative and qualitative data for fisheries workers, drawing on recent case studies from Costa Rica and Kenya. The note concludes with recommendations to strengthen data systematization, improve interoperability, and close knowledge gaps, ultimately supporting more inclusive and responsive social protection and sustainable fisheries management.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttps://openknowledge.worldbank.org/entities/publication/787c34ee-f2c7-4e7e-a4b0-aa35c0fb38f3
dc.identifierhttps://hdl.handle.net/10986/44276
dc.identifier10.1596/44276
dc.identifier.urihttp://hdl.handle.net/123456789/404687
dc.languageEnglish
dc.languageen_US
dc.publisherWashington, DC: World Bank
dc.relationSocial Protection Discussion Paper Series
dc.rightsCC BY-NC 3.0 IGO
dc.rightshttps://creativecommons.org/licenses/by-nc/3.0/igo
dc.rightsWorld Bank
dc.subjectSOCIAL PROTECTION
dc.subjectFISHERIES WORKERS
dc.subjectCLIMATE CHANGE
dc.subjectFOOD SECURITY
dc.titleSocioeconomic Data on Fisheries Workers: Availability and Strategies for Better Data Quality
dc.typeWorking Paper

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