Dataset
Dataset
Ties of more than 5,000 estimated trips between countries worldwide in 2016.
Source: Global Transnational Mobility Dataset.
Global Transnational Mobility Dataset
The Global Transnational Mobility Dataset provides estimates of country-to-country cross-border human travels on the basis of worldwide statistics on tourism and air passenger traffic. The two sources are adjusted and merged, resulting into a set of data that covers more than 15 billion estimated travels over the years 2011 to 2016.
Explore the data on the KCMD’s Dynamic Data Hub: https://bit.ly/2LdjNwK
Request the Dataset: GMPdataset@eui.eu
A direct download is possible through the ‘D’ key on the KCMD Dynamic Data Hub: https://bit.ly/2LdjNwK
The Global Transnational Mobility Dataset is available in the Zenodo data repository: https://doi.org/10.5281/zenodo.3911054
Read more about the data:
Recchi, E., Deutschmann, E., Vespe, M. 2019. Estimating Transnational Human Mobility on a Global Scale. EUI RSCAS Working Paper 2019/30
Recchi, E., Deutschmann, E., Global Human Mobility Rapidly Increasing, New Open-Access Dataset Shows, MPC Blog (30/04/2019)
A collaboration between the EUI’s Migration Policy Centre and the Knowledge Centre on Migration and Demography at the European Commission’s Joint Research Centre.
Sub-National COVID-19 Incidence and Determinants Dataset
Sub-National COVID-19 Incidence and Determinants Dataset is available in the Zenodo data repository: https://doi.org/10.5281/zenodo.7583761
Read more about the data:
Global Visa Cost Dataset
The Global Visa Cost Dataset reports the cost of country-to-country visas for tourism, student, business, work, transit, family reunification and other motives worldwide. Data come from governmental websites and refer to costs in 2019 (in US dollars).
The Global Visa Cost Dataset is available in the Zenodo data repository: https://doi.org/10.5281/zenodo.3911061
Read more about the data:
Recchi, E., Deutschmann, E., Gabrielli, L., Kholmatova, N. 2020. Assessing visa costs on a global scale. EUI RSCAS Working Paper 2020/18
Recchi, E., Deutschmann, E. 2020. Inequality at the Border: How Visa Costs Penalize Citizens of Poor World Regions, MPC Blog (15/04/2020)
Recchi, E., Deutschmann, E., Gabrielli, L., & Kholmatova, N. (2021). The global visa cost divide: How and why the price for travel permits varies worldwide. Political Geography, 86, 102350
Border Permeability Dataset
The Global Mobilities Project’s Border Permeability Dataset contains, for 312 land borders globally, information on how permeable the border is in terms of cross-border transport infrastructure and potential controls via border checkpoints. Automatized computational methods combined with extensive manual checks were used to parse data from OpenStreetMap and the World Food Programme to detect cross-border transport infrastructure and checkpoints. Apart from various specifications of the overall border permeability index (BPI), the dataset also contains information on the amount of individual infrastructure types such as highways, cycleways, footpaths, railroads, etc. at land borders worldwide. Almost 40 different infrastructure types are covered.
Download the Border Permeability Dataset from the Zenodo repository.
Read more about the data:
Deutschmann, E., L. Gabrielli & E. Recchi. 2023. Roads, Rails, and Checkpoints: Assessing the Permeability of Nation-State Borders Worldwide. World Development 164: 106175.
See the GMP research community in Zenodo: https://zenodo.org/communities/gmp/