Find accessible meso-level datasets
… at the intersection of Migration, Climate, and Environmental Factors
Number of Datasets
70
A Curated Selection
All datasets featured on the CliMoHub are screened and handpicked by our dedicated team.
Selection Criteria
Our selection focuses on datasets that capture the intersection of environmental factors and migration at a meso level, meaning they provide insights at the scale of regions, cities, or neighborhoods rather than national or global trends. We prioritize data collected through research projects rather than large-scale administrative sources. Each dataset undergoes a relevance screening to ensure its contribution to understanding localized migration dynamics. While this collection is carefully curated, it is not exhaustive, and we regularly update it to reflect new findings and emerging data sources.
Find accessible meso-level datasets
… at the intersection of Migration, Climate, and Environmental Factors
Number of Datasets
57
A Curated Selection
All datasets featured on the CliMoHub are screened and handpicked by our dedicated team.
Selection Criteria
Our selection focuses on datasets that capture the intersection of environmental factors and migration at a meso level, meaning they provide insights at the scale of regions, cities, or neighborhoods rather than national or global trends. We prioritize data collected through research projects rather than large-scale administrative sources. Each dataset undergoes a relevance screening to ensure its contribution to understanding localized migration dynamics. While this collection is carefully curated, it is not exhaustive, and we regularly update it to reflect new findings and emerging data sources.
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Qualitative Data
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Qualitative Data
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The Burkina Faso EHCVM is a nationally implemented living conditions survey led by the National Institute of Statistics and Demography with support from the World Bank and the WAEMU Commission. Conducted in two waves during 2021–2022 using household and community questionnaires, the survey captures seasonal variation in consumption and supports the production of harmonized, publicly accessible welfare data.
The Indonesian Family Life Survey (IFLS) is an ongoing longitudinal household survey in Indonesia that follows more than 30,000 individuals and represents about 83% of the national population. Since its first wave in 1993/94, multiple survey rounds led by RAND in collaboration with Indonesian universities have collected rich data on demographic, social, and economic conditions over time.
The Chitwan Valley Family Study (CVFS) is a long-running family panel study in the Chitwan Valley of Nepal that examines how changing community and household contexts shape demographic outcomes such as marriage, fertility, and migration. Over more than 25 years, it has expanded to cover a wide range of topics—including health, labor, agriculture, environmental change, and mental health—using detailed life histories and continuous tracking of individuals, households, and communities.
These datasets come from the DECCMA project and consist of four cross-sectional household surveys conducted in 2016 across major delta regions in South Asia and West Africa, including Bangladesh, India, and Ghana. Covering 5,450 households sampled across different environmental hazard zones, the surveys capture rich data on wellbeing, migration, environmental risk, and adaptation. They are designed to analyze how environmental change and hazard exposure influence migration decisions and social outcomes in vulnerable delta regions.
These datasets come from the DECCMA project and consist of four cross-sectional household surveys conducted in 2016 across major delta regions in South Asia and West Africa, including Bangladesh, India, and Ghana. Covering 5,450 households sampled across different environmental hazard zones, the surveys capture rich data on wellbeing, migration, environmental risk, and adaptation. They are designed to analyze how environmental change and hazard exposure influence migration decisions and social outcomes in vulnerable delta regions.
These datasets come from the DECCMA project and consist of four cross-sectional household surveys conducted in 2016 across major delta regions in South Asia and West Africa, including Bangladesh, India, and Ghana. Covering 5,450 households sampled across different environmental hazard zones, the surveys capture rich data on wellbeing, migration, environmental risk, and adaptation. They are designed to analyze how environmental change and hazard exposure influence migration decisions and social outcomes in vulnerable delta regions.
These datasets come from the DECCMA project and consist of four cross-sectional household surveys conducted in 2016 across major delta regions in South Asia and West Africa, including Bangladesh, India, and Ghana. Covering 5,450 households sampled across different environmental hazard zones, the surveys capture rich data on wellbeing, migration, environmental risk, and adaptation. They are designed to analyze how environmental change and hazard exposure influence migration decisions and social outcomes in vulnerable delta regions.
The Vietnam Household Living Standards Survey (VHLSS) is a biennial survey designed to monitor living standards and evaluate progress toward national poverty reduction strategies, socio-economic development goals, and the Millennium Development Goals. First conducted in 2002 by integrating earlier household surveys, it enables analysis of changes in welfare over time and is implemented as part of the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture.
The 2018/19 Nigeria Living Standards Survey (NLSS) collected extensive socio-economic and demographic data on household living conditions, covering areas such as education, health, labor, consumption, assets, shocks, and farm production. Its main purpose is to monitor welfare trends, support benchmarking and tracking of the Sustainable Development Goals, and provide evidence to assess government policies and improve national statistics such as GDP and the Consumer Price Index.
The General Household Survey–Panel (GHS-Panel) is a nationally representative survey of about 5,000 households conducted in collaboration with the World Bank Living Standards Measurement Study as part of the Integrated Surveys on Agriculture. It supports innovative agricultural data collection and welfare analysis through post-planting and post-harvest visits and is implemented under the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture.
The Niger EHCVM 2021/22 is a nationally representative living conditions survey implemented by the National Institute of Statistics of Niger with support from the World Bank and the WAEMU Commission. Covering 6,000 households across urban and rural zones, it was conducted in two waves between 2021 and 2022 to capture seasonal consumption patterns and forms part of the WAEMU Household Survey Harmonization Project aimed at producing comparable regional household data.
The Niger EHCVM 2021/22 is a nationally representative living conditions survey implemented by the National Institute of Statistics of Niger with support from the World Bank and the WAEMU Commission. Covering 6,000 households across urban and rural zones, it was conducted in two waves between 2021 and 2022 to capture seasonal consumption patterns and forms part of the WAEMU Household Survey Harmonization Project aimed at producing comparable regional household data.
The ECVM/A is a nationally integrated, multi-topic household survey designed to assess poverty and living conditions in Niger and to monitor progress toward the Millennium Development Goals. Conducted in two seasonal visits—during planting and harvest—it collects household, agriculture/livestock, and community data to capture key socio-economic dynamics, and is implemented as part of the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture.
The Mali EHCVM is a nationally representative living conditions survey implemented by the National Institute of Statistics of Mali with support from the World Bank and the WAEMU Commission. Covering 6,600 households across urban and rural geopolitical zones, it uses household and community questionnaires and was conducted in two waves (2018–2019) to capture seasonal variation in consumption.
The Integrated Household Survey (IHS) is a nationally representative survey conducted about every five years by Malawi’s National Statistical Office of Malawi to track living conditions and welfare trends. It provides key poverty and vulnerability indicators that support evidence-based policymaking and monitoring of national and global development goals, and it is implemented as part of the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture.
The Ethiopia Socioeconomic Survey (ESS) is a long-term household panel survey jointly implemented by the Central Statistics Agency of Ethiopia and the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture. It collects detailed, multi-topic data with a strong focus on agriculture, enabling analysis of household welfare, livelihoods, and the links between agriculture, human capital, and poverty dynamics over time.
The Burkina Faso Enquête Multisectorielle Continue 2014 was conducted to support the government’s need for harmonized, internationally comparable indicators to monitor the SCADD and the Millennium Development Goals. Implemented in four rounds throughout 2014, it combined a main questionnaire with specialized modules administered across different rounds and was carried out as part of the World Bank Living Standards Measurement Study – Integrated Surveys on Agriculture.
The NPS is a nationally representative household panel survey collecting detailed data on agriculture, non-farm income, consumption, and other socio-economic characteristics. First launched in 2008/2009, it is part of the World Bank’s Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA).
This dataset is part of Work Package 1 of the HABITABLE project, which studies how climate change influences migration decisions and whether social tipping points emerge from nonlinear changes in social–ecological systems. It draws on rich longitudinal household data from Ethiopia, Ghana, Kenya, Mali, and Thailand to identify if and how these tipping points shape migration dynamics.
This dataset is part of Work Package 1 of the HABITABLE project, which studies how climate change influences migration decisions and whether social tipping points emerge from nonlinear changes in social–ecological systems. It draws on rich longitudinal household data from Ethiopia, Ghana, Kenya, Mali, and Thailand to identify if and how these tipping points shape migration dynamics.
This dataset is part of Work Package 1 of the HABITABLE project, which studies how climate change influences migration decisions and whether social tipping points emerge from nonlinear changes in social–ecological systems. It draws on rich longitudinal household data from Ethiopia, Ghana, Kenya, Mali, and Thailand to identify if and how these tipping points shape migration dynamics.
This dataset is part of Work Package 1 of the HABITABLE project, which studies how climate change influences migration decisions and whether social tipping points emerge from nonlinear changes in social–ecological systems. It draws on rich longitudinal household data from Ethiopia, Ghana, Kenya, Mali, and Thailand to identify if and how these tipping points shape migration dynamics.
This dataset is part of Work Package 1 of the HABITABLE project, which studies how climate change influences migration decisions and whether social tipping points emerge from nonlinear changes in social–ecological systems. It draws on rich longitudinal household data from Ethiopia, Ghana, Kenya, Mali, and Thailand to identify if and how these tipping points shape migration dynamics.
The Displaced New Orleans Residents Study (DNORS) examined residential mobility, health, and family well-being among people who lived in New Orleans when Hurricane Katrina struck in 2005. Conducted mainly in 2009–2010 using a representative sample of pre-Katrina households, researchers tracked and surveyed residents wherever they had relocated. An earlier pilot study in 2006 surveyed 344 households to assess post-disaster conditions one year after the storm.
This dataset comprises household survey responses collected in 2019 through structured interviews in three Cape Flats townships, each focusing on a specific environmental hazard: flooding in Sweet Home Farm, water scarcity in Delft South, and runaway fires in Overcome Heights. Approximately 200 adults per site participated, with data collected via telephone or digital interviews due to COVID-19 restrictions, conducted in isiXhosa, Afrikaans, or English and later translated into English. The survey includes demographic and quantitative data alongside qualitative accounts of disaster experiences and household resilience.
The Watigueleya Kèlê project conducted household and individual surveys on socio-economic status and climate resilience in ten villages across Guinea, Mali, and Senegal in early 2021, with a partial delay in one Guinean village due to the Ebola outbreak. A total of 933 households (11,228 individuals) were surveyed, along with a randomly selected sample of 970 individuals. The surveys assessed exposure to ecological risks, response capacities, and participation in local natural resource governance.
The Watigueleya Kèlê project conducted household and individual surveys on socio-economic status and climate resilience in ten villages across Guinea, Mali, and Senegal in early 2021, with a partial delay in one Guinean village due to the Ebola outbreak. A total of 933 households (11,228 individuals) were surveyed, along with a randomly selected sample of 970 individuals. The surveys assessed exposure to ecological risks, response capacities, and participation in local natural resource governance.
The Watigueleya Kèlê project conducted household and individual surveys on socio-economic status and climate resilience in ten villages across Guinea, Mali, and Senegal in early 2021, with a partial delay in one Guinean village due to the Ebola outbreak. A total of 933 households (11,228 individuals) were surveyed, along with a randomly selected sample of 970 individuals. The surveys assessed exposure to ecological risks, response capacities, and participation in local natural resource governance.
The Watigueleya Kèlê project conducted household and individual surveys on socio-economic status and climate resilience in ten villages across Guinea, Mali, and Senegal in early 2021, with a partial delay in one Guinean village due to the Ebola outbreak. A total of 933 households (11,228 individuals) were surveyed, along with a randomly selected sample of 970 individuals. The surveys assessed exposure to ecological risks, response capacities, and participation in local natural resource governance.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) gathered quantitative data from paddy farming households in 24 villages across the dry zone to study the effects of water scarcity and environmental stress. The survey captured information on livelihoods, farming practices, household characteristics, and climate adaptation strategies, with a focus on vulnerability, coping mechanisms, and adoption of promoted agricultural techniques. It also aimed to inform future policies and programs to better support farmers, collecting demographic data such as age, gender, religion, ethnicity, education, and occupation.
This project combined a cross-sectional survey and photo-elicitation interviews with self-identified migrants and city planners in Chattogram, Bangladesh, to examine sources of urban precarity and insecurity. It aimed to integrate migrant perspectives into urban planning through action research and engagement with city-scale actors. Follow-up activities included a perspective-taking workshop and two policy-oriented workshops to explore solutions for more inclusive and effective urban governance.
The Rural Economy and Agriculture Dry Zone Survey (READZ) was conducted in April–May 2017 to examine livelihoods, farming systems, and the rural economy in Myanmar’s Dry Zone. The household survey covered 1,578 randomly selected households across 100 communities in four purposively chosen townships, reflecting key agro-ecological and irrigation conditions. Data were collected on household demographics, migration, land, irrigation, farming practices, and crop production—especially green gram, groundnut, sesame, and paddy.
The Rural Economy and Agriculture Dry Zone Survey (READZ) was conducted in April–May 2017 to examine livelihoods, farming systems, and the rural economy in Myanmar’s Dry Zone. The household survey covered 1,578 randomly selected households across 100 communities in four purposively chosen townships, reflecting key agro-ecological and irrigation conditions. Data were collected on household demographics, migration, land, irrigation, farming practices, and crop production—especially green gram, groundnut, sesame, and paddy.
The Rural Economy and Agriculture Dry Zone Survey (READZ) was conducted in April–May 2017 to examine livelihoods, farming systems, and the rural economy in Myanmar’s Dry Zone. The household survey covered 1,578 randomly selected households across 100 communities in four purposively chosen townships, reflecting key agro-ecological and irrigation conditions. Data were collected on household demographics, migration, land, irrigation, farming practices, and crop production—especially green gram, groundnut, sesame, and paddy.
The Shan Household, Agriculture and Rural Economy Survey (SHARES) was conducted from June to October 2018 to analyze livelihoods, farming systems, and rural economic change in southern Shan, with a focus on maize and pigeon pea production. The household survey covered 1,563 households across 99 enumeration areas in 9 townships, using stratified two-stage sampling to represent a population of over 200,000. Survey modules gathered detailed information on non-farm employment, migration, land use, crop cultivation, agricultural machinery, credit, and consumption to explore the impacts of hybrid maize, commercialization, and conflict on rural welfare.
The Shan Household, Agriculture and Rural Economy Survey (SHARES), conducted from June to October 2018, examined rural livelihoods, farming systems, and economic changes in southern Shan, with a focus on maize and pigeon pea production. The survey addressed four key research questions related to hybrid maize adoption, agricultural commercialization, conflict, and farmer performance, using data from 1,563 households in 99 enumeration areas and 323 villages across 12 townships. Combining household and community-level data, SHARES captured detailed information on agriculture, migration, infrastructure, conflict, and rural enterprise to provide both micro- and landscape-level insights into the region’s rural transformation.
TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR initiative supporting sustainable diets, resilient livelihoods, and resource conservation in rural Bangladesh, India, and Nepal through district-level assessments. In March–April 2023, data were collected in Nalanda, India, from households (interviewing a female, a male, and an adolescent respondent) and community informants. Structured questionnaires captured detailed information on food intake, farming practices, climate adaptation, and socio-economic conditions.
TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR initiative supporting sustainable diets, resilient livelihoods, and resource conservation in rural Bangladesh, India, and Nepal through district-level assessments. In March–April 2023, data were collected in Nalanda, India, from households (interviewing a female, a male, and an adolescent respondent) and community informants. Structured questionnaires captured detailed information on food intake, farming practices, climate adaptation, and socio-economic conditions.
TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR initiative supporting sustainable diets, resilient livelihoods, and resource conservation in rural Bangladesh, India, and Nepal through district-level assessments. In March–April 2023, data were collected in Nalanda, India, from households (interviewing a female, a male, and an adolescent respondent) and community informants. Structured questionnaires captured detailed information on food intake, farming practices, climate adaptation, and socio-economic conditions.
TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR initiative supporting sustainable diets, resilient livelihoods, and resource conservation in rural Bangladesh, India, and Nepal through district-level assessments. In March–April 2023, data were collected in Nalanda, India, from households (interviewing a female, a male, and an adolescent respondent) and community informants. Structured questionnaires captured detailed information on food intake, farming practices, climate adaptation, and socio-economic conditions.
TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR initiative supporting sustainable diets, resilient livelihoods, and resource conservation in rural Bangladesh, India, and Nepal through district-level assessments. In March–April 2023, data were collected in Nalanda, India, from households (interviewing a female, a male, and an adolescent respondent) and community informants. Structured questionnaires captured detailed information on food intake, farming practices, climate adaptation, and socio-economic conditions.
This dataset is part of Work Package 1 (WP1) of the HABITABLE project, which aims to expand knowledge on migration decision-making processes under climate change by examining the existence of social tipping points where social-ecological systems are reconfigured due to nonlinear changes. The dataset comprises rich and novel longitudinal data collected from households in Ethiopia, Ghana, Kenya, Mali, and Thailand to assess whether such social tipping points exist and how they operate.
This qualitative study examines the often-overlooked phenomenon of immobility by exploring how rural youth in Honduras actively choose to stay despite widespread outmigration. Findings highlight how young people creatively mobilize skills, resources, and institutional support to pursue dignified rural livelihoods, challenging dominant migration narratives and enriching the (im)mobility literature.
Ethiopia’s Lower Omo Valley is undergoing rapid transformation due to state-led sugar development, raising concerns about environmental degradation, inequality, and conflict as pastoralist lands are repurposed for industrial use. Using participatory methods and remote sensing, this research maps changes in ecosystem services, integrating local knowledge to understand socio-ecological impacts and support more inclusive decision-making.
This study investigates how emerging Eritrean and Ethiopian diasporas in Addis Ababa, Khartoum, and Nairobi enact transnational lived citizenship through everyday practices that shape political belonging across homelands, hostlands, and broader transnational spaces. Despite methodological shifts due to COVID-19, in-depth interviews revealed how intersecting crises and legal liminality influence acts of citizenship, ambivalent loyalties, and contested attachments beyond the nation-state.
This qualitative study examines the often-overlooked phenomenon of immobility by exploring how rural youth in Honduras actively choose to stay despite widespread outmigration. Findings highlight how young people creatively mobilize skills, resources, and institutional support to pursue dignified rural livelihoods, challenging dominant migration narratives and enriching the (im)mobility literature.
This study investigates how emerging Eritrean and Ethiopian diasporas in Addis Ababa, Khartoum, and Nairobi enact transnational lived citizenship through everyday practices that shape political belonging across homelands, hostlands, and broader transnational spaces. Despite methodological shifts due to COVID-19, in-depth interviews revealed how intersecting crises and legal liminality influence acts of citizenship, ambivalent loyalties, and contested attachments beyond the nation-state.
This study investigates how emerging Eritrean and Ethiopian diasporas in Addis Ababa, Khartoum, and Nairobi enact transnational lived citizenship through everyday practices that shape political belonging across homelands, hostlands, and broader transnational spaces. Despite methodological shifts due to COVID-19, in-depth interviews revealed how intersecting crises and legal liminality influence acts of citizenship, ambivalent loyalties, and contested attachments beyond the nation-state.
This was the first social study of middle-class managerial and professional commuters moving to Hertfordshire villages and their impact on formerly rural communities. It examined segregation, class and commuting, population origins, and the villages’ economic and social connections to the wider world.
This was the first social study of middle-class managerial and professional commuters moving to Hertfordshire villages and their impact on formerly rural communities. It examined segregation, class and commuting, population origins, and the villages’ economic and social connections to the wider world.
This was the first social study of middle-class managerial and professional commuters moving to Hertfordshire villages and their impact on formerly rural communities. It examined segregation, class and commuting, population origins, and the villages’ economic and social connections to the wider world.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This project developed participatory arts-based methods to explore forced displacement in Morocco, focusing on creative engagement with migrants from Morocco and Sub-Saharan Africa. Data were generated through two participatory workshops in Rabat—one on photography and filmmaking, and one on performance arts—where participants actively led all stages of production and post-production.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This dataset includes documents, interviews, and multimedia materials collected from 300 migrants during a three-year participatory research project in the Brazilian Amazon (2019–2021). The study examined the link between migrant labour, large infrastructure and agribusiness projects, and exploitative working conditions within industries tied to “sustainable development” agendas. Migrants from Brazil, Haiti, Colombia, Venezuela, Senegal, and various African countries collaborated to document their experiences, identify gaps in dignified work and social protection, and engage in direct dialogue with key stakeholders to propose transformative solutions.
This dataset contains meeting reports from ten ‘Global Migration Conversations’ held in cities such as Barcelona, Beirut, Brussels, Delhi, and Nairobi. The discussions, involving academics, policy actors, artists, and migrant rights advocates, focused on the state of migration studies, research gaps, equitable partnerships, researcher-artist collaborations, and pathways to policy impact.
This study investigates the complex tensions between environmental conservation, climate change, sustainable development, eco-tourism, and military security in the context of debates over the potential resettlement of the Chagos Archipelago. Through ethnographic research, stakeholder consultations, and expert interviews, it highlights the diverse and sometimes conflicting perspectives of displaced Chagos Islanders, environmental scientists, governments, and business interests regarding the feasibility and future of resettlement.
This dataset combines social and environmental data to assess the impacts of alluvial gold mining and water quality changes in Colombia’s Chocó region. It includes life history interviews with Afro-Colombian and Indigenous residents, weekly citizen-led water monitoring, hydrogeochemical analyses of water and soil, and satellite imagery to track riverbank changes from 1994 to 2020.
This study investigates the complex tensions between environmental conservation, climate change, sustainable development, eco-tourism, and military security in the context of debates over the potential resettlement of the Chagos Archipelago. Through ethnographic research, stakeholder consultations, and expert interviews, it highlights the diverse and sometimes conflicting perspectives of displaced Chagos Islanders, environmental scientists, governments, and business interests regarding the feasibility and future of resettlement.
This study investigates the complex tensions between environmental conservation, climate change, sustainable development, eco-tourism, and military security in the context of debates over the potential resettlement of the Chagos Archipelago. Through ethnographic research, stakeholder consultations, and expert interviews, it highlights the diverse and sometimes conflicting perspectives of displaced Chagos Islanders, environmental scientists, governments, and business interests regarding the feasibility and future of resettlement.
This study investigates the complex tensions between environmental conservation, climate change, sustainable development, eco-tourism, and military security in the context of debates over the potential resettlement of the Chagos Archipelago. Through ethnographic research, stakeholder consultations, and expert interviews, it highlights the diverse and sometimes conflicting perspectives of displaced Chagos Islanders, environmental scientists, governments, and business interests regarding the feasibility and future of resettlement.
This study investigates the complex tensions between environmental conservation, climate change, sustainable development, eco-tourism, and military security in the context of debates over the potential resettlement of the Chagos Archipelago. Through ethnographic research, stakeholder consultations, and expert interviews, it highlights the diverse and sometimes conflicting perspectives of displaced Chagos Islanders, environmental scientists, governments, and business interests regarding the feasibility and future of resettlement.
Series of transcripts from semi-structured lifecourse interviews with households displaced by violence and subsequently exposed to risk from natural hazards in their places of resettlement. The qualitative data derives from four case studies situated within these areas: the city of Manizales, Caldas (24 interviews); the area Cazuca in Soacha, Cundinamarca (24 interviews); and the settlements Caimalito (26 interviews) and Esperanza Galicia (26 interviews) in Risaralda. The transcripts are in Spanish, and are anonymised (both personal details of interviewees and the names of the barrios in which they are located).
Series of transcripts from semi-structured lifecourse interviews with households displaced by violence and subsequently exposed to risk from natural hazards in their places of resettlement. The qualitative data derives from four case studies situated within these areas: the city of Manizales, Caldas (24 interviews); the area Cazuca in Soacha, Cundinamarca (24 interviews); and the settlements Caimalito (26 interviews) and Esperanza Galicia (26 interviews) in Risaralda. The transcripts are in Spanish, and are anonymised (both personal details of interviewees and the names of the barrios in which they are located).
Series of transcripts from semi-structured lifecourse interviews with households displaced by violence and subsequently exposed to risk from natural hazards in their places of resettlement. The qualitative data derives from four case studies situated within these areas: the city of Manizales, Caldas (24 interviews); the area Cazuca in Soacha, Cundinamarca (24 interviews); and the settlements Caimalito (26 interviews) and Esperanza Galicia (26 interviews) in Risaralda. The transcripts are in Spanish, and are anonymised (both personal details of interviewees and the names of the barrios in which they are located).
Series of transcripts from semi-structured lifecourse interviews with households displaced by violence and subsequently exposed to risk from natural hazards in their places of resettlement. The qualitative data derives from four case studies situated within these areas: the city of Manizales, Caldas (24 interviews); the area Cazuca in Soacha, Cundinamarca (24 interviews); and the settlements Caimalito (26 interviews) and Esperanza Galicia (26 interviews) in Risaralda. The transcripts are in Spanish, and are anonymised (both personal details of interviewees and the names of the barrios in which they are located).
This dataset offers insights into the integration processes of people who permanently or temporarily relocated for lifestyle reasons to remote Alpine regions of Austria, focusing on factors influencing their decision to stay or move again and the societal impacts of their settlement. It is based on a Qualitative Longitudinal Research project combining 53 semi-structured and problem-centred interviews conducted in 2015/2016 and 2020/2021 in Vorarlberg Montafon and Tiroler Gailtal, analyzed using Grounded Theory. The dataset includes a detailed code table of 272 codes and subcodes, alongside supporting materials like illustrations, interview guidelines, and metadata, though the interview transcripts themselves are not included due to ethical considerations.
This dataset offers insights into the integration processes of people who permanently or temporarily relocated for lifestyle reasons to remote Alpine regions of Austria, focusing on factors influencing their decision to stay or move again and the societal impacts of their settlement. It is based on a Qualitative Longitudinal Research project combining 53 semi-structured and problem-centred interviews conducted in 2015/2016 and 2020/2021 in Vorarlberg Montafon and Tiroler Gailtal, analyzed using Grounded Theory. The dataset includes a detailed code table of 272 codes and subcodes, alongside supporting materials like illustrations, interview guidelines, and metadata, though the interview transcripts themselves are not included due to ethical considerations.
This dataset explores how young people from migrant backgrounds in Manchester and Melbourne engage with climate change education and intergenerational conversations about climate resilience. It includes transcripts from interviews and focus groups with 14–18-year-old first, second, and third generation migrants, as well as interviews led by young researchers with their parents or grandparents, and conversations with educators. The research captures rich insights into how climate knowledge, shaped by migration experiences from the Global South, is negotiated and valued across generations and within educational settings.
This dataset explores how young people from migrant backgrounds in Manchester and Melbourne engage with climate change education and intergenerational conversations about climate resilience. It includes transcripts from interviews and focus groups with 14–18-year-old first, second, and third generation migrants, as well as interviews led by young researchers with their parents or grandparents, and conversations with educators. The research captures rich insights into how climate knowledge, shaped by migration experiences from the Global South, is negotiated and valued across generations and within educational settings.
This dataset uses mobile phone surveys to capture how people across Cambodia’s rural-urban spectrum access, use, and benefit from ecosystem services (ES), linking nature’s contributions directly to human experience. By incorporating social science theories and flexible smartphone data collection, it shifts focus to human beneficiaries and captures spatial and temporal variations in ES use. The insights aim to address gaps in ES science, support policy processes, and help build pathways to resilience and sustainable development.
This dataset uses mobile phone surveys to capture how people across Cambodia’s rural-urban spectrum access, use, and benefit from ecosystem services (ES), linking nature’s contributions directly to human experience. By incorporating social science theories and flexible smartphone data collection, it shifts focus to human beneficiaries and captures spatial and temporal variations in ES use. The insights aim to address gaps in ES science, support policy processes, and help build pathways to resilience and sustainable development.
This data collection consists of qualitative interviews and focus groups with Chinese people who had studied in the UK. Data was collected in May/June 2019. This research is about how pro-environmental (or ‘green’) attitudes change when people migrate, with a particular focus on Chinese students who moved to the UK to study for at least one year. Previous research suggests that these students often change their environmental attitudes when they live in the UK, and that they may also change their behaviour (for example, recycling more or saving energy at home more than before their study).
This data collection consists of qualitative interviews and focus groups with Chinese people who had studied in the UK. Data was collected in May/June 2019. This research is about how pro-environmental (or ‘green’) attitudes change when people migrate, with a particular focus on Chinese students who moved to the UK to study for at least one year. Previous research suggests that these students often change their environmental attitudes when they live in the UK, and that they may also change their behaviour (for example, recycling more or saving energy at home more than before their study).
This data collection consists of qualitative interviews and focus groups with Chinese people who had studied in the UK. Data was collected in May/June 2019. This research is about how pro-environmental (or ‘green’) attitudes change when people migrate, with a particular focus on Chinese students who moved to the UK to study for at least one year. Previous research suggests that these students often change their environmental attitudes when they live in the UK, and that they may also change their behaviour (for example, recycling more or saving energy at home more than before their study).
This data collection consists of qualitative interviews and focus groups with Chinese people who had studied in the UK. Data was collected in May/June 2019. This research is about how pro-environmental (or ‘green’) attitudes change when people migrate, with a particular focus on Chinese students who moved to the UK to study for at least one year. Previous research suggests that these students often change their environmental attitudes when they live in the UK, and that they may also change their behaviour (for example, recycling more or saving energy at home more than before their study).
The qualitative data used in this study by Yeh et al. (2017) consists primarily of semi-structured interviews and participant observation conducted with 17 Tibetan pastoralist households in Village Five of Gouli Township, Qinghai Province, China, between 2009 and 2014. The interviews, often conducted in the local language by a native researcher
This dataset comprises narrative interviews with 114 Internally Displaced People (IDPs) in four Somali cities—Mogadishu (26), Baidoa (26), Bosasso (27), and Hargeisa (35)—focusing on their experiences of security, displacement, and urban integration. Additional interviews were conducted with 17 local stakeholders, including government officials, NGO representatives, and host community members, to contextualize IDP perspectives within broader governance and community structures.
This dataset comprises narrative interviews with 114 Internally Displaced People (IDPs) in four Somali cities—Mogadishu (26), Baidoa (26), Bosasso (27), and Hargeisa (35)—focusing on their experiences of security, displacement, and urban integration. Additional interviews were conducted with 17 local stakeholders, including government officials, NGO representatives, and host community members, to contextualize IDP perspectives within broader governance and community structures.
This dataset comprises narrative interviews with 114 Internally Displaced People (IDPs) in four Somali cities—Mogadishu (26), Baidoa (26), Bosasso (27), and Hargeisa (35)—focusing on their experiences of security, displacement, and urban integration. Additional interviews were conducted with 17 local stakeholders, including government officials, NGO representatives, and host community members, to contextualize IDP perspectives within broader governance and community structures.
This dataset comprises narrative interviews with 114 Internally Displaced People (IDPs) in four Somali cities—Mogadishu (26), Baidoa (26), Bosasso (27), and Hargeisa (35)—focusing on their experiences of security, displacement, and urban integration. Additional interviews were conducted with 17 local stakeholders, including government officials, NGO representatives, and host community members, to contextualize IDP perspectives within broader governance and community structures.
The dataset comes from an in-person survey experiment conducted among slum residents in Dhaka. Respondents were randomly assigned to one of three conditions (generic migrants, climate migrants, or Rohingya migrants) and asked about their willingness to donate to a charity providing healthcare to migrants. The dataset includes information on respondents’ demographics, migration history, flood experience, news consumption habits, and their support levels for the charity under different frames.
This dataset is based on a representative online survey in Germany that explores public attitudes toward accepting climate change migrants, comparing them to views on other migrant groups. The findings show high support for climate migrants—on par with political refugees—and reveal that acceptance increases when expected migrant numbers are low. Moral, justice-based, and capacity-based arguments all influence support, with capacity concerns being especially persuasive among highly educated individuals and non-environmentalists.
The Myanmar Migrant Assessment (MMA) is a 2023 phone survey of 4,296 households, drawn from the Myanmar Household Welfare Survey, focusing on migration amidst political, economic, and climatic disruptions. It identifies 5,455 migrants—defined as those who left for over two months—capturing detailed data on migration drivers, employment, and remittances.
The Myanmar Migrant Assessment (MMA) is a 2023 phone survey of 4,296 households, drawn from the Myanmar Household Welfare Survey, focusing on migration amidst political, economic, and climatic disruptions. It identifies 5,455 migrants—defined as those who left for over two months—capturing detailed data on migration drivers, employment, and remittances.
The dataset in Temporary Migration and Climate Variation in Eastern Africa merges high-resolution climate data with LSMS-ISA panel microdata from Ethiopia, Malawi, Tanzania, and Uganda (2009–2014) to examine how climate variability affects temporary migration. It includes over 55,000 person-years of data on migration, labor, and demographics, alongside climate anomalies linked to survey areas using geospatial methods. Using fixed-effects regression, the study finds notable differences in how urban and rural populations respond to climate stress through migration, offering insights into adaptation strategies.
The dataset in Temporary Migration and Climate Variation in Eastern Africa merges high-resolution climate data with LSMS-ISA panel microdata from Ethiopia, Malawi, Tanzania, and Uganda (2009–2014) to examine how climate variability affects temporary migration. It includes over 55,000 person-years of data on migration, labor, and demographics, alongside climate anomalies linked to survey areas using geospatial methods. Using fixed-effects regression, the study finds notable differences in how urban and rural populations respond to climate stress through migration, offering insights into adaptation strategies.
The dataset in Temporary Migration and Climate Variation in Eastern Africa merges high-resolution climate data with LSMS-ISA panel microdata from Ethiopia, Malawi, Tanzania, and Uganda (2009–2014) to examine how climate variability affects temporary migration. It includes over 55,000 person-years of data on migration, labor, and demographics, alongside climate anomalies linked to survey areas using geospatial methods. Using fixed-effects regression, the study finds notable differences in how urban and rural populations respond to climate stress through migration, offering insights into adaptation strategies.
The dataset in Temporary Migration and Climate Variation in Eastern Africa merges high-resolution climate data with LSMS-ISA panel microdata from Ethiopia, Malawi, Tanzania, and Uganda (2009–2014) to examine how climate variability affects temporary migration. It includes over 55,000 person-years of data on migration, labor, and demographics, alongside climate anomalies linked to survey areas using geospatial methods. Using fixed-effects regression, the study finds notable differences in how urban and rural populations respond to climate stress through migration, offering insights into adaptation strategies.
This dataset examines U.S. county-pair migration patterns from 2006-2016, revealing racial disparities in flood-induced migration, with Black populations generally remaining in place and White populations migrating post-flood, a trend reversed by FEMA aid, while Hispanic and Asian migration remains largely unaffected.
This dataset includes information on outmigration from the 32 Mexican federal states to the U.S for the period 2003-2017. In addition, the dataset contains information on climatic variables taken from the CRU climate dataset of the University of East Anglia and the EM-DAT natural disasters database.
This dataset contains data from a 2017 survey of 285 ex-pastoralist households in Marsabit Town, northern Kenya, split into a ‘migrant group’ (93) and a ‘settled group’ (192) to analyse the effects of migration on well-being. The 80-question survey covered topics such as livelihoods, migration history, household assets, dwelling characteristics, and well-being indicators.
The dataset is derived from two experiments embedded in nationally representative surveys conducted in the United States and Germany. The study explores public attitudes toward climate migrants compared to other categories of migrants, such as economic migrants or refugees.
The dataset is derived from two experiments embedded in nationally representative surveys conducted in the United States and Germany. The study explores public attitudes toward climate migrants compared to other categories of migrants, such as economic migrants or refugees.
Study on environmental migration and conflict perceptions, showing that migrants from gradual, long-term environmental events are likelier to perceive conflict in new locations than those from sudden, short-term events.
Study on environmental migration and conflict perceptions, showing that migrants from gradual, long-term environmental events are likelier to perceive conflict in new locations than those from sudden, short-term events.
Study on environmental migration and conflict perceptions, showing that migrants from gradual, long-term environmental events are likelier to perceive conflict in new locations than those from sudden, short-term events.
Study on environmental migration and conflict perceptions, showing that migrants from gradual, long-term environmental events are likelier to perceive conflict in new locations than those from sudden, short-term events.
Study on environmental migration and conflict perceptions, showing that migrants from gradual, long-term environmental events are likelier to perceive conflict in new locations than those from sudden, short-term events.
Survey data from the DECCMA project (2016) on migration and adaptation in deltas of Bangladesh, Ghana, and India, covering 5450 households to explore links between environmental hazards, migration, and social outcomes.
Survey data from the DECCMA project (2016) on migration and adaptation in deltas of Bangladesh, Ghana, and India, covering 5450 households to explore links between environmental hazards, migration, and social outcomes.
Survey data from the DECCMA project (2016) on migration and adaptation in deltas of Bangladesh, Ghana, and India, covering 5450 households to explore links between environmental hazards, migration, and social outcomes.
Survey data from the DECCMA project (2016) on migration and adaptation in deltas of Bangladesh, Ghana, and India, covering 5450 households to explore links between environmental hazards, migration, and social outcomes.
Replication data and instructions for analyzing attitudes toward internal climate migrants, based on a 2019 survey of 633 adults in Bangladesh’s Satkhira District.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Cross-sectional time-series data (1980s–1990s) on migration flows from environmentally degraded countries to developed nations, analyzing environmental, economic, social, and political drivers.
Agent-based model data and code on climate-change-induced migration in Vietnam’s Mekong River Delta, including Stata and NetLogo files for replicating key results.
Agent-based model data and code on climate-change-induced migration in Vietnam’s Mekong River Delta, including Stata and NetLogo files for replicating key results.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Survey data from Kenya and Vietnam (2018–2019) on urban residents’ attitudes toward environmental migrants, analyzing acceptance based on migrants’ attributes in a conjoint experiment.
Migration data from the Marshall Islands examines climate-driven relocation within RMI and to the U.S., highlighting the social, economic, and environmental factors influencing migration decisions.
Migration data from the Marshall Islands examines climate-driven relocation within RMI and to the U.S., highlighting the social, economic, and environmental factors influencing migration decisions.
Migration data from the Marshall Islands examines climate-driven relocation within RMI and to the U.S., highlighting the social, economic, and environmental factors influencing migration decisions.
Migration data from the Marshall Islands examines climate-driven relocation within RMI and to the U.S., highlighting the social, economic, and environmental factors influencing migration decisions.
Migration data from the Marshall Islands examines climate-driven relocation within RMI and to the U.S., highlighting the social, economic, and environmental factors influencing migration decisions.
Annual demographic data (1990–2016) for 43 Arctic Alaska communities, highlighting population trends, migration, and climate-driven outmigration (“climigration”).
Survey data from Vietnam and Kenya on environmental migration, covering 2,400 households to analyze migration drivers in response to slow-onset and sudden-onset events.
Survey data from Vietnam and Kenya on environmental migration, covering 2,400 households to analyze migration drivers in response to slow-onset and sudden-onset events.
Data from the Chitwan Valley Family Study on agriculture, migration, and remittances (2006–2015), covering 2,000+ households and key demographic events.
Survey data from December 2019 to February 2020 on household demographics, socio-economy, and post-cyclonic migration.
Survey data on migration as adaptation to environmental change, covering 1085 households and 1926 migrants in four Thai provinces, representative at the sub-district level.
Survey data on migration as adaptation to environmental change, covering 1085 households and 1926 migrants in four Thai provinces, representative at the sub-district level.
Survey data on migration as adaptation to environmental change, covering 1085 households and 1926 migrants in four Thai provinces, representative at the sub-district level.
Survey data on migration as adaptation to environmental change, covering 1085 households and 1926 migrants in four Thai provinces, representative at the sub-district level.
Find Data on Climate Migration and Environmental (Im)Mobilities
The interactive map above presents a curated selection of meso-level datasets at the intersection of climate change, environmental change, and human migration or (im)mobilities. All datasets featured on the CliMoHub are carefully screened by our team using strict relevance criteria. We focus on meso-level data that captures movements and environmental factors at the scale of regions, cities, neighborhoods or villages — offering insights that are often overlooked in national or global datasets. The CliMoHub is the first one-stop service specifically dedicated to the meso-level scale giving an overview on existing data on climate migration and environmental (im)mobilities.
Please note: We do not have any influence on the quality of datasets hosted in external repositories. Our role is to compile, screen, and structure available data to provide a clear overview of existing sources in the field. This enables users to evaluate whether a dataset is suitable for their own research on climate migration and environmental change. While our collection is continuously updated, it offers a reliable and helpful entry point into the world of complex and sometimes messy data on climate-related (im)mobilities at varying geographical scales.
