DOI: 10.5281/zenodo.7033062
title: FUME projection data

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<br> shock but not Ukraine war. Short-war scenario: Same as benchmark scenario but using the IMF estimate (International<br> Monetary Fund, 2022) until 2027, then linear transition over 5 years back to SSP2 growth<br> rates. Scenario B - Recovery in Europe, stagnation in developing countries: Same as short-war<br> scenario, but instead of all countries transitioning to SSP2, European countries transition<br> towards the SSP in which they have the highest growth rates; while developing countries<br> (including emerging economies) transition towards the SSP in which they have the lowest<br> growth rates. These might be different SSPs for different countries. All other countries (e.g.<br> USA, Australia etc.) transition towards SSP2. Scenario C - Rise of the East: Same as Scenario B, but opposite: European countries<br> transition towards the SSP in which they have the lowest growth rates; while developing<br> countries (including emerging economies) transition towards the SSP in which they have<br> the highest growth rates. All other countries (E.g. USA, Australia etc.) transition towards<br> 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<br> Secondary, e6 = Post Secondary) sex: Sex, two categories pop: Population <br> ### 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): ```<br> "AFG" "AUT" "BEL" "BGR" "CYP" "CZE" "DEU" "DNK" "ESP" "EST" "FIN" "FRA" "GBR"<br> "GRC" "HRV" "HUN" "IRL" "ITA" "LTU" "LUX" "LVA" "MLT" "NLD" "POL" "PRT" "ROU"<br> "SVK" "SVN" "SWE" "AGO" "ALB" "ARE" "ARG" "ARM" "AUS" "AZE" "BDI" "BEN" "BFA"<br> "BGD" "BHR" "BHS" "BIH" "BLR" "BLZ" "BOL" "BRA" "BTN" "BWA" "CAF" "CAN" "CHE"<br> "CHL" "CHN" "CIV" "CMR" "COD" "COG" "COL" "COM" "CPV" "CRI" "CUB" "DOM" "DZA"<br> "ECU" "EGY" "ETH" "FJI" "GAB" "GEO" "GHA" "GIN" "GMB" "GNB" "GNQ" "GTM" "GUY"<br> "HKG" "HND" "HTI" "IDN" "IND" "IRN" "IRQ" "ISL" "ISR" "JAM" "JOR" "JPN" "KAZ"<br> "KEN" "KGZ" "KHM" "KOR" "KWT" "LAO" "LBN" "LBR" "LCA" "LKA" "LSO" "MAC" "MAR"<br> "MDA" "MDG" "MDV" "MEX" "MKD" "MLI" "MMR" "MNE" "MNG" "MOZ" "MUS" "MWI" "MYS"<br> "NAM" "NER" "NGA" "NIC" "NOR" "NPL" "NZL" "OMN" "PAK" "PAN" "PER" "PHL" "PRI"<br> "PRY" "PSE" "QAT" "RUS" "RWA" "SAU" "SDN" "SEN" "SGP" "SLB" "SLE" "SLV" "SOM"<br> "SRB" "STP" "SUR" "SWZ" "SYR" "TCD" "TGO" "THA" "TJK" "TKM" "TLS" "TTO" "TUN"<br> "TUR" "TZA" "UGA" "UKR" "URY" "USA" "VCT" "VEN" "VNM" "VUT" "WSM" "YEM" "ZAF"<br> "ZMB" "ZWE"<br> ```