Description
# FUME data Population data and migration flows from FUME projections. ## Introduction International projection model with dimensions Age, Sex, Education and Country of Birth. Projected from 2015 to 2050, four different scenarios; Benchmark, Short War, Scenario B and Scenario C. Additional scenario with no migration also included. Benchmark scenario: Identical to SSP2 from Koch & Leimbach (2022), including COVID shock but not Ukraine war. Short-war scenario: Same as benchmark scenario but using the IMF estimate (International Monetary Fund, 2022) until 2027, then linear transition over 5 years back to SSP2 growth rates. Scenario B - Recovery in Europe, stagnation in developing countries: Same as short-war scenario, but instead of all countries transitioning to SSP2, European countries transition towards the SSP in which they have the highest growth rates; while developing countries (including emerging economies) transition towards the SSP in which they have the lowest growth rates. These might be different SSPs for different countries. All other countries (e.g. USA, Australia etc.) transition towards SSP2. Scenario C - Rise of the East: Same as Scenario B, but opposite: European countries transition towards the SSP in which they have the lowest growth rates; while developing countries (including emerging economies) transition towards the SSP in which they have the highest growth rates. All other countries (E.g. USA, Australia etc.) transition towards SSP2. ## Variables period: Start year of projection step dest: Country of residency / Migration destination country CoB: Country of Birth area: ISO3 numeric country code of destination age: Age, five year groups, 0 - 100+ edu: Education, 6 levels, (e1 = No Education, e2 = Some Primary, e3 = Primary, e4 = Lower Secondary, e5 = Upper Secondary, e6 = Post Secondary) sex: Sex, two categories pop: Population ### Migration rate data specific variable names POB: Place Of Birth (Country of Birth) Orig: Country of origin Dest: Country of destination flow: Migration rate Skill: Skill categories, (Low (Secondary and Less) and High (Post secondary+)) age: Age groups (1 (0-24), 2 (25-64), 3 (65+)) flowM: Male specific migration rate flowF: Female specific migration rate ## Countries Countries currently included in the model are in total 171 (given in ISO3 country codes): ``` "AFG" "AUT" "BEL" "BGR" "CYP" "CZE" "DEU" "DNK" "ESP" "EST" "FIN" "FRA" "GBR" "GRC" "HRV" "HUN" "IRL" "ITA" "LTU" "LUX" "LVA" "MLT" "NLD" "POL" "PRT" "ROU" "SVK" "SVN" "SWE" "AGO" "ALB" "ARE" "ARG" "ARM" "AUS" "AZE" "BDI" "BEN" "BFA" "BGD" "BHR" "BHS" "BIH" "BLR" "BLZ" "BOL" "BRA" "BTN" "BWA" "CAF" "CAN" "CHE" "CHL" "CHN" "CIV" "CMR" "COD" "COG" "COL" "COM" "CPV" "CRI" "CUB" "DOM" "DZA" "ECU" "EGY" "ETH" "FJI" "GAB" "GEO" "GHA" "GIN" "GMB" "GNB" "GNQ" "GTM" "GUY" "HKG" "HND" "HTI" "IDN" "IND" "IRN" "IRQ" "ISL" "ISR" "JAM" "JOR" "JPN" "KAZ" "KEN" "KGZ" "KHM" "KOR" "KWT" "LAO" "LBN" "LBR" "LCA" "LKA" "LSO" "MAC" "MAR" "MDA" "MDG" "MDV" "MEX" "MKD" "MLI" "MMR" "MNE" "MNG" "MOZ" "MUS" "MWI" "MYS" "NAM" "NER" "NGA" "NIC" "NOR" "NPL" "NZL" "OMN" "PAK" "PAN" "PER" "PHL" "PRI" "PRY" "PSE" "QAT" "RUS" "RWA" "SAU" "SDN" "SEN" "SGP" "SLB" "SLE" "SLV" "SOM" "SRB" "STP" "SUR" "SWZ" "SYR" "TCD" "TGO" "THA" "TJK" "TKM" "TLS" "TTO" "TUN" "TUR" "TZA" "UGA" "UKR" "URY" "USA" "VCT" "VEN" "VNM" "VUT" "WSM" "YEM" "ZAF" "ZMB" "ZWE" ```
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http://data.europa.eu/88u/dataset/oai-zenodo-org-7033062 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-7033062 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-7033062 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-7033062 |