Key Insights:
- The High Migration scenario (HMIGR) projects the highest population for Italy, maintaining around 57.3-57.4 million by 2100.
- The No Migration scenario (NMIGR) shows the most dramatic population decline, dropping to about 28.2 million by 2100.
- The Baseline scenario (BSL) projects a steady decline from 50.6 million to 50.2 million throughout the period.
- Migration patterns have the most significant impact on Italy’s future population size, with a difference of nearly 29 million people between high and no migration scenarios.
- All scenarios show consistent trends between 2096-2100, with most displaying gradual population declines except for the high migration scenario.
Projection Scenarios:
- BSL (Baseline): Main projection scenario with current demographic trends
- HMIGR (High Migration): Scenario with higher migration rates
- LFRT (Low Fertility): Scenario with lower fertility rates
- LMIGR (Low Migration): Scenario with lower migration rates
- LMRT (Low Mortality): Scenario with lower mortality rates
- NMIGR (No Migration): Scenario with zero net migration
Demographic Indicator Forecast (NUTS0)
IT (Italy)Data-Level: IT Source: Eurostat - Demographic Indicator Forecast (NUTS0), Dataset: proj_23ndbi
Need more information?
Project manager:
Franziska Görmar
IfL - Leibniz Institute for Regional Geography, Germany
Email
This project is supported by the Interreg CENTRAL EUROPE Programme with co-financing from the European Regional Development Fund.
Find more information about the x-Inno Radar project on the Interreg CE projectwebsite.
x-Inno Radar is a project of:
Creative Region Linz & Upper Austria Gmbh,
The Regional Chamber of Commerce of the Karlovy Vary Region,
Padova Chamber of Commerce, Industry, Crafts and Agriculture,
Creative Industry Košice, n. o.,
BSC, Business support centre, ltd., Kranj,
Regional Development Agency in Bielsko-Biała,
Stebo Competence Centre Community Developmentm,
Association of Cultural and Creative Industries Chemnitz and Region (Creative Chemnitz),
Leibniz Institute for Regional Geography – Germany,
Otelo Cooperative
