Poverty and gender perspectives in marine spatial planning: lessons from Madagascar Poverty and gender perspectives in marine spatial planning: lessons from Madagascar 2024-483-1 https://doi.org/10.5878/zfhc-w374 Swedish National Data Service Svensk nationell datatjänst Landing page Poverty and gender perspectives in marine spatial planning: lessons from Madagascar Poverty and gender perspectives in marine spatial planning: lessons from Madagascar 2024-483-1 https://doi.org/10.5878/zfhc-w374 Mulwa, Richard Mulwa, Richard Turpie, Jane Turpie, Jane Brühl, Johanna Brühl, Johanna Lokina, Razack Lokina, Razack Swedish National Data Service Svensk nationell datatjänst Environment for Development Environment for Development (EfD) is a global network of environmental economics research centers solving the world’s most pressing environmental and development challenges. We contribute to effective management of the environment in the Global South through policy-relevant research, capacity development and policy engagement. Environment for Development (EfD) är ett globalt nätverk av forskningscentra inom miljöekonomi som arbetar med att lösa världens mest angelägna miljö- och utvecklingsutmaningar. Vi bidrar till en effektiv förvaltning av miljön i det globala syd genom policyrelevant forskning, kapacitetsutveckling och policyengagemang. Landing page SEX KÖN POVERTY FATTIGDOM 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 Madagascar, in particular, from three coastal bays in the north western regions of Boeny and Sofia, namely Bombetoka, Mahajamba and Sahamalaza bays. The data collection was confined to these bays due to the fact that most of the population is concentrated here and the remainder of the coasts of these two regions is largely inaccessible. Bombetoka, Mahajamba and Sahamalaza Bays are characterised by highly diverse marine ecosys-tems and contain mangrove forests, coral reefs, and seagrass beds. The survey employed a mixed-method cross sectional study design, collecting qualitative and quantitative data at different levels. The study adopted a multi-stage sampling. A total of 489 households were interviewed face-to-face. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers. 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 dataset 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 Madagascar, in particular, from three coastal bays in the north western regions of Boeny and Sofia, namely Bombetoka, Mahajamba and Sahamalaza bays. The data collection was confined to these bays due to the fact that most of the population is concentrated here and the remainder of the coasts of these two regions is largely inaccessible. Bombetoka, Mahajamba and Sahamalaza Bays are characterised by highly diverse marine ecosys-tems and contain mangrove forests, coral reefs, and seagrass beds. The survey employed a mixed-method cross sectional study design, collecting qualitative and quantitative data at different levels. The study adopted a multi-stage sampling. A total of 489 households were interviewed face-to-face. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers. 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 dataset is part of a wider data collection that comprises three countries: Kenya, Tanzania, and Madagascar. Madagascar Madagaskar HouseholdHousehold HushållHushåll In Madagascar, a total of 490 households were interviewed face-to-face in the north / north western region of Madagascar. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers. In Madagascar, a total of 490 households were interviewed face-to-face in the north / north western region of Madagascar. Households were sampled from the Bay of Sahamalaza in the Sofia region and the Bay of Mahajamba and Bombetoka in the Boeny region. Household sampling effort per village was guided by information on village populations from census data in each country. At the village level, households were randomly selected with the help of village headmen and given unique serial identifiers. Numeric Text Cross-sectionCross-section TvärsnittTvärsnitt ProbabilityProbability SannolikhetsurvalSannolikhetsurval InterviewInterview IntervjuIntervju Access to data through SND. Access to data is restricted. Åtkomst till data via SND. Tillgång till data är begränsad. restrictedAccess UNESCO-IOC and SwAM 2024. Developing Metrics of Poverty and Gender Considerations in Marine Spatial Planning: synthesis of case studies in Kenya, Madagascar and Tanzania. Paris. Nairobi, UNESCO. (IOC Technical Series, 186) .Authors:Richard Mulwa (EfD, Kenya), Jane Turpie (EfD South Africa), Johanna Bruehl (EfD South Africa), Razack Lokina (Tanzania). UNESCO-IOC and SwAM 2024. Developing Metrics of Poverty and Gender Considerations in Marine Spatial Planning: synthesis of case studies in Kenya, Madagascar and Tanzania. Paris. Nairobi, UNESCO. (IOC Technical Series, 186) .Authors:Richard Mulwa (EfD, Kenya), Jane Turpie (EfD South Africa), Johanna Bruehl (EfD South Africa), Razack Lokina (Tanzania). 2024