Updated February 7, 2019
| Dataset date: Jan 1, 1959-Dec 31, 2025
This dataset updates: Live
This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.
Updated February 7, 2019
| Dataset date: Jan 1, 1999-Dec 31, 2025
This dataset updates: Live
Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
Updated February 7, 2019
| Dataset date: Jan 1, 1951-Dec 31, 2025
This dataset updates: Live
Year-by-year data about UNHCR's populations of concern originating from Grenada. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
Updated February 7, 2019
| Dataset date: Jan 1, 1999-Dec 31, 2025
This dataset updates: Live
Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
Updated September 13, 2017
| Dataset date: Sep 13, 2017
This dataset updates: As needed
This is an excel mapping tool that was built based on Caribbean Islands administrative boundaries (admin0). The Map datasets was coming from GADM, Centre National de l'Information Géo-Spatiale (Haiti) and Oficina Nacional de Estadística (Dominican Republic). The population dataset is a sample data. This tool is made for people in the field with limited access to GIS to quickly map their data.
Updated January 29, 2016
| Dataset date: Dec 31, 2015
This dataset updates: Never
The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
