Refugees 2016-06 2016-10-13 Proportional symbols represent the population of refugees from each origin country. Migration routes for the ten largest countries of asylum are shown for each refugee population. The five largest refugee populations since 1951 originated from the following countries: Syrian Arab Republic, Afghanistan, Somalia, Ethiopia and Iraq Migration routes for the five largest refugee populations in modern US history. Proportional symbols represent the population of refugees from each origin country and line thicknesses represent the number of refugees migrated to each destination. University of Minnesota RefugeesOriginAsylumCountryMigrationPopulation Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. Contact U-Spatial at uspatial@umn.edu or visit our website at www.uspatial.umn.edu for more information. “Population Statistics.” The UN Refugee Agency, http://popstats.unhcr.org/en/persons_of_concern. Accessed 7 June 2016. Refugee Migration Lines Migration Flow lines for refugee populations U of M Origin_X The longitudinal coordinate of the migration flow line origin country centroid. U of M Coordinate 8 Origin_Y Latitudinal coordinate of the migration flow lines origin country centroid. U of M Coordinate 8 Destination_X Longitudinal coordinate of the migration flow lines destination country centroid U of M Coordinate 8 Destination_Y Latitudinal coordinate of the migration flow line destination country centroid. U of M Coordinate 8 ISO 19139 Metadata Implementation Specification 2016-10-13 20221800 2016-12-26 16:41:23.04 TRUE 1.0 ISO19139 editor:esri.dijit.metadata.editor 2016-11-04 1478275330378r7618720670449814 University Of Minnesota 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