2026-05-25T15:38:40Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

7a5e0d2face17e5231821d3c7db55147b2e5240787500a9ef6370954d85cafd1 2025-10-01T03:23:02Z language:svopenaire_data

Poverty and gender perspectives in marine spatial planning: lessons from Tanzania Swedish National Data ServiceSvensk nationell datatjänst Landing page Poverty and gender perspectives in marine spatial planning: lessons from Tanzania Poverty and gender perspectives in marine spatial planning: lessons from Tanzania 2024-482-1https://doi.org/10.5878/592h-1813 Mulwa, Richard Mulwa, Richard Turpie, Jane Turpie, Jane Brühl, Johanna Brühl, Johanna Lokina, Razack Lokina, Razack Swedish National Data ServiceSvensk nationell datatjänst 2024-11-28 Landing page sexkönpovertyfattigdom Social SciencesSamhällsvetenskapEconomicsNationalekonomi This dataset was used for a report that provides an overview of three pilot cases of baseline data collection to better understand local communities’ dependence on marine resources and other livelihood activities, with emphasis on understanding the role of marine spatial zonation and resource manage-ment on poverty and gender equality. Pilot studies were conducted in Kenya, Tanzania and Madagascar. This dataset only contains data from Tanzania, in particular, from the Mkinga District within Tanga Region, which is located in the northeast of Tanzania. Mkinga District has a coastline of about 50 km on the Indian Ocean. The coastline of Tanga has approximately 100 distinct coral reefs which are located 1-10 km from the shore. This coastline has extensive mangrove forests and diverse fish species. The survey employed a mixed-method crosssectional study design, collecting qualitative and quantitative data at different levels. The project adopted a multi-stage sampling. A total of 564 households were interviewed face-to-face in seven wards along the most northern stretch of coast. A representative sample of households was selected from a total of 21 coastal villages in the wards of Boma, Doda, Kwale, Manza, Mayomboni, Moa and Mtimbwani. Wards were grouped according to the coastal stretch which they access. The sampling of households in the villages was random and involved drawing transects across the villages and picking individual households randomly. A survey questionnaire was developed. Quantitative data collection tools were digitized for electronic capture and transmission using Kobo Toolbox. The electronic questionnaire was uploaded to enumerators’ mobile smartphones using a unique Kobo Collect app. Data collected were submitted to a server daily. This datasets is part of a wider data collection that comprises three countries: Kenya, Tanzania, and Madagascar.This dataset was used for a report that provides an overview of three pilot cases of baseline data collection to better understand local communities’ dependence on marine resources and other livelihood activities, with emphasis on understanding the role of marine spatial zonation and resource manage-ment on poverty and gender equality. Pilot studies were conducted in Kenya, Tanzania and Madagascar. This dataset only contains data from Tanzania, in particular, from the Mkinga District within Tanga Region, which is located in the northeast of Tanzania. Mkinga District has a coastline of about 50 km on the Indian Ocean. The coastline of Tanga has approximately 100 distinct coral reefs which are located 1-10 km from the shore. This coastline has extensive mangrove forests and diverse fish species. The survey employed a mixed-method crosssectional study design, collecting qualitative and quantitative data at different levels. The project adopted a multi-stage sampling. A total of 564 households were interviewed face-to-face in seven wards along the most northern stretch of coast. A representative sample of households was selected from a total of 21 coastal villages in the wards of Boma, Doda, Kwale, Manza, Mayomboni, Moa and Mtimbwani. Wards were grouped according to the coastal stretch which they access. The sampling of households in the villages was random and involved drawing transects across the villages and picking individual households randomly. A survey questionnaire was developed. Quantitative data collection tools were digitized for electronic capture and transmission using Kobo Toolbox. The electronic questionnaire was uploaded to enumerators’ mobile smartphones using a unique Kobo Collect app. Data collected were submitted to a server daily. This datasets is part of a wider data collection that comprises three countries: Kenya, Tanzania, and Madagascar. 2021-11-182021-11-22 TanzaniaTanzania HouseholdHouseholdHushållHushåll A total of 564 households were interviewed face-to-face in seven wards along the most northern stretch of coast. A representative sample of households was selected from a total of 21 coastal villages in the wards of Boma, Doda, Kwale, Manza, Mayomboni, Moa and Mtimbwani. Wards were grouped according to the coastal stretch which they access.A total of 564 households were interviewed face-to-face in seven wards along the most northern stretch of coast. A representative sample of households was selected from a total of 21 coastal villages in the wards of Boma, Doda, Kwale, Manza, Mayomboni, Moa and Mtimbwani. Wards were grouped according to the coastal stretch which they access. Cross-sectionCross-sectionTvärsnittTvärsnitt ProbabilityProbabilitySannolikhetsurvalSannolikhetsurval InterviewInterviewIntervjuIntervju Access to data through SND. Access to data is restricted.Åtkomst till data via SND. Tillgång till data är begränsad. restrictedAccess https://snd.se 2024-482 2024-11-28T14:15:50Z ddi:codebook:2_5