Around 20 percent of people living in Austria today are international migrants, states the study. Around 276,800 of those are refugees and asylum seekers. In comparison, Germany has around 15.7 percent and the UK and France 14 percent.
The researchers decided to look at the housing situation of refugees in particular because they felt that this area of refugees’ lives was understudied. More data has been gathered about their integration into the labour market or the healthcare system.
This interactive map visualizes sex-disaggregated international migration flows at the subnational level between low- and middle-income countries between the 2005-2010 period. The data is sourced from a collaboration between WorldPop, Flowminder, and the Asian Demographic Research Institute (ADRI). The methodology follows the approach described by Ceaușu et al. (2019).
Navigate the 3D map with ease: Use left-click to rotate, right-click to pan, and scroll to zoom in and out. Explore migration flows from every angle!
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), Peace and Human Rights Division. https://dx.doi.org/10.5258/SOTON/WP00673
Visualization created using Pydeck, an open-source library for interactive geospatial visualizations.
This interactive map visualizes sex-disaggregated internal migration flows at the subnational level within low- and middle-income countries between the 2005-2010 period. The data is sourced from a collaboration between WorldPop, Flowminder, and the Asian Demographic Research Institute (ADRI). The methodology follows the approach described by Ceaușu et al. (2019).
Navigate the 3D map with ease: Use left-click to rotate, right-click to pan, and scroll to zoom in and out. Explore migration flows from every angle!
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), Peace and Human Rights Division. https://dx.doi.org/10.5258/SOTON/WP00673
Visualization created using Pydeck, an open-source library for interactive geospatial visualizations.
Existing migration models usually rely on population size and travel distance to explain and predict the spatial patterns of migration flows. “Interestingly, however, people often migrate over long distances and to smaller destinations if their diaspora is present in these places. So if there are already people somewhere, others will follow”.
What we can observe is that even with very little information – namely the nationality of people and the size of the corresponding diaspora in a particular destination region – it is possible to reconstruct and also predict migration movements with a high degree of accuracy.
Listen to the paper in our AI podcast generated by NotebookLM Google.
