README: Longitudinal Dataset from Household Survey on Migration Decision-Making and Social Tipping Points: HABITABLE 1. Introduction The HABITABLE WP1 Longitudinal Survey Dataset is a publicly available dataset that examines migration decision-making processes under climate change across Ethiopia, Ghana, Kenya, Mali, and Thailand. It supports research on social tipping points, adaptive capacity, and the effects of migration on in situ adaptation strategies. This README file provides guidelines on how to access, interpret, and use the dataset effectively. 2. Dataset Overview * Title: Longitudinal Dataset from Household Survey on Migration Decision-Making and Social Tipping Points: HABITABLE * Data Collection Period: 2022-2024 * Geographic Coverage: Ethiopia, Ghana, Kenya, Mali, Thailand * Target Population: Adults (18+ years) in rural areas * Sampling Method: Multi-stage cluster sampling * Survey Waves: 2 (collected at least 12 months apart) * Total Sample Size Wave 1: Ghana 1,027 households Kenya 1,027 households Mali 979 households Ethiopia 1,024 households Thailand 993 households Total 5,050 households * Ethical Approval: Ethical approval obtained from relevant institutional review boards; all participants provided informed consent. 3. Data Files * habitable_country_wave1_household.csv - Household-level survey responses from Wave 1 * habitable_ country_ wave1_spouse.csv - Spouse/partner-level survey responses from Wave 1 * habitable_ country_ wave1_individual.csv - Household roster information on all adult family members from Wave 1 * habitable_country_wave2_household.csv - Household-level survey responses from Wave 2 * habitable_ country_ wave2_spouse.csv - Spouse/partner-level survey responses from Wave 2 * habitable_ country_ wave2_individual.csv - Household roster information on all adult family members from Wave 2 * habitable_metadata.pdf - Complete metadata and documentation * habitable_codebook.xlsx - Variable descriptions and response codes * habitable_readme.txt - Summary of dataset contents and how to use it 4. Data Dictionary The dataset contains variables on: * Demographics (age, gender, household composition) * Migration History (individual/household migration events, destinations) * Climate Risk Perception (self-reported exposure, expected losses) * Livelihoods & Income (sources, agricultural practices, land tenure) * Adaptive Capacity (household-level responses, community networks) * Psychosocial Wellbeing (stress, anxiety, depression symptoms) * Household Decision-Making (gender roles, adaptation strategies) For a full list of variables, see habitable_codebook.xlsx. 5. Data Access and Usage 5.1. Citation When using this dataset, cite as follows: Maria Franco Gavonel, Sarah Redicker, W Neil Adger, Ricardo Safra De Campos, Mumuni Abu, Sidy Boly, Samuel Nii Ardey Codjoe, Dula Etana, Eshetu Gurmu, Hervé Nicolle, Jared Owuor, Sopon Naruchaikusol (2025). Longitudinal Dataset from Household Survey on Migration Decision-Making and Social Tipping Points: HABITABLE. Zenodo. https://doi.org/10.5281/zenodo.14899641 5.2.Licensing Agreement: This dataset is made available under Creative Commons Attribution 4.0 International (CC BY 4.0) license. Users are permitted to share, adapt, and use the data, provided that proper attribution is given to the original source. The data may not be used for commercial purposes unless explicitly authorized. While all personal identifiers have been removed to ensure privacy, users are responsible for handling the data ethically and in compliance with relevant data protection regulations. The dataset is provided "as is" without any warranties regarding its accuracy, completeness, or suitability for specific applications. 5.3. Downloading the Data The dataset is available for download from Zenodo at: https://doi.org/10.5281/zenodo.14899641 6. Data Processing and Cleaning * All location data were anonymised to prevent identification. 7. Using the Data 7.1. Recommended Software * CSV/dta Files: R, Python (Pandas), Stata, SPSS, Excel * Codebook: Excel, Google Sheets * Metadata & README: PDF readers 8. Limitations and Considerations * Geographical Scope: Data is specific to climate-vulnerable regions and not nationally representative. * Self-Reported Bias: Responses are based on participants’ recollections, potentially introducing recall bias. * Wave 2 Attrition: In Thailand, only the first wave of the longitudinal survey was implemented due to budget constraints. In Ghana, Kenya, Mali, and Ethiopia, attrition rates in wave 2 were relatively low compared to other longitudinal surveys: 0% attrition in Ghana, 0.4% in Mali, 10% in Kenya, and 6.7% in Ethiopia. 9. Contact Information For further questions or support, contact: Dr. Maria Franco Gavonel (maria.francogavonel@york.ac.uk) or Dr. Sarah Redicker (s.redicker@exeter.ac.uk) 10. Acknowledgments We thank the research teams, field enumerators, and survey respondents for their contributions. This project is funded by European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 869395)