The lack of coherent and comparable data on migration restricts our ability to design appropriate migration and development policies, protect and assist migrant populations, and monitor progress towards the achievement of migration-relevant targets in the Sustainable Development Goals (SDGs). This is particularly true for migration movements across the Global South, international migration movements at the subnational-unit level (i.e. between spatial units located in different countries), and migration data disaggregated by basic characteristic such as sex.
This project aims to address this challenge by providing a new globally consistent and harmonized dataset of sex-disaggregated migration movements estimates at the subnational level within and between all low- and middle-income countries.
The new dataset is available at this link: ftp://ftp.worldpop.org.uk/tmp/FDFA_Subnational_MigrationEstimates/
Database citation: Silvia Ceaușu, Dorothea Woods, Chigozie E. Utazi, Guy J. Abel, Xavier Vollenweider, Andrew J. Tatem, Alessandro Sorichetta (2019). Mapping gender-disaggregated migration movements at subnational scales in and between low- and middle-income countries - Funded by the Swiss Confederation, represented by the Federal Department of Foreign Affairs (FDFA), Human Security Division. https://dx.doi.org/10.5258/SOTON/WP00673
This repository hosts the code of the dashboard providing interactive mapping and visualization of this new dataset. It is deployed here.
The dataset has been developped by Alessandro Sorichetta
(PI)1, Andrew J. Tatem (PI)1 3, Silvia
Ceausu1, Dorothea Woods1 2, Chigozie E.
Utazi1 and Guy Abel4. The dashboard has been
developped by Xavier Vollenweider3 with help from Visvanathan
Subramaniam3.
1 WorldPop,
University of Southampton, UK.
2 GeoData, University of
Southampton, UK.
3 Flowminder Foundation, Switzerland.
4 ADRI, Shanghai University, China.