Integrated Modelling of European Migration Database Case Study
Integrated Modelling of European Migration Database Case Study
The Integrated Modelling of European Migration (IMEM) Database is an on-line tool for presenting the estimated international migration flows amongst countries in the European Union (EU) and European Free Trade Association (EFTA), as well as to and from the rest of the world, in the period 2002 to 2008. It allows extraction of various information and characteristics of the estimated flows, such as country of origin, country of destination, age and sex of migrants. The database can be used by academics, official statisticians or policymakers, who would like to obtain information about the recent migration dynamics in Europe.
University of Southampton
Wisniowski, Arkadiusz
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Chivers, Martin
639fadfe-5293-45eb-8c38-22cbbf3f4b68
Whitton, Michael
436703ba-1d26-4df4-b06c-a4ce48526a35
28 March 2013
Wisniowski, Arkadiusz
ec9da054-45f0-4393-ad91-87e8f9750ae9
Chivers, Martin
639fadfe-5293-45eb-8c38-22cbbf3f4b68
Whitton, Michael
436703ba-1d26-4df4-b06c-a4ce48526a35
Wisniowski, Arkadiusz, Chivers, Martin and Whitton, Michael
(2013)
Integrated Modelling of European Migration Database Case Study
University of Southampton
8pp.
Record type:
Monograph
(Project Report)
Abstract
The Integrated Modelling of European Migration (IMEM) Database is an on-line tool for presenting the estimated international migration flows amongst countries in the European Union (EU) and European Free Trade Association (EFTA), as well as to and from the rest of the world, in the period 2002 to 2008. It allows extraction of various information and characteristics of the estimated flows, such as country of origin, country of destination, age and sex of migrants. The database can be used by academics, official statisticians or policymakers, who would like to obtain information about the recent migration dynamics in Europe.
Text
DataPool_IMEM.pdf
- Author's Original
More information
Published date: 28 March 2013
Organisations:
Statistical Sciences Research Institute
Identifiers
Local EPrints ID: 350672
URI: http://eprints.soton.ac.uk/id/eprint/350672
PURE UUID: 9cd78c43-6a2a-4f97-aedf-11ac523c2080
Catalogue record
Date deposited: 08 Apr 2013 13:17
Last modified: 15 Mar 2024 03:22
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Contributors
Author:
Arkadiusz Wisniowski
Author:
Martin Chivers
Author:
Michael Whitton
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