
German population projected to fall to 81.8 million by 2045 as regional gaps widen
A study of Germany's 400 districts by the Berlin Institute and Wüstenrot Foundation forecasts population losses in two-thirds of regions, with eastern districts facing steep declines while Bavarian municipalities lead in viability.
Demographic contraction across German districts
The fifth edition of the Demographic State of the Nation study, released by the Berlin Institute for Population and Development and the Wüstenrot Foundation, projects a shrinking German population through 2045. Federal Statistical Office records show Germany's population at roughly 83.3 million in 2026, with the study projecting a decline to 81.8 million by 2045. A separate estimate cited in the research projects a decrease from 83.6 million to 81.1 million over the same period. The analysis evaluated all 400 rural districts and independent cities using 26 indicators spanning economic strength, education, demographic structure, and social conditions. Adrian Carrasco Heiermann of the Berlin Institute explained that the index measures metrics including life expectancy, per capita disposable household income, youth dropout rates, and gender distributions in parental allowance claims. Frederick Sixtus from the Berlin Institute noted that deaths outnumber births in nearly all districts, meaning regional population changes depend primarily on migration patterns.
Divergence between metropolitan centers and shrinking regions
Population losses are projected for roughly two-thirds of Germany's 400 administrative districts and independent cities. This group includes around 184 to 200 districts that experienced population growth during preceding years. Catherina Hinz, director of the Berlin Institute, noted that regional policy must adapt to distinct demographic trajectories.
The decisive question is not whether Germany grows or shrinks, but where.
Substantial expansion is projected for metropolitan hubs including Berlin, Leipzig, Hamburg, Frankfurt am Main, Munich, Nuremberg, Düsseldorf, Potsdam, and Dresden. Surrounding suburban districts are also projected to gain residents as families with children move outward, while younger individuals migrate into urban cores. Conversely, western cities such as Essen, Dortmund, and Stuttgart face declining headcounts. Weaker index results were also recorded in large urban centres including Bremen, Duisburg, Lübeck, Salzgitter, and Kaiserslautern, all of which placed in the bottom 100.
Widening disparities in eastern Germany and Bavarian concentration
Disparities between performing and lagging areas have expanded, particularly across eastern Germany. Twelve of the 20 lowest-ranked districts in the overall index are situated in eastern states, compared to five in 2019. Eastern districts account for 44 of the 100 lowest-ranked regions nationwide, with areas such as Mansfeld-Südharz ranking near the bottom. In Thuringian towns like Suhl and Sonneberg, projections show population decreases of up to 30%. The working-age population across Thuringia, Saxony-Anhalt, Mecklenburg-Western Pomerania, and the western state of Saarland is projected to decline by 12% to 18% by 2045. In contrast, Bavaria has consolidated its position at the top of the rankings, accounting for 18 of the 20 highest-rated districts nationwide compared to 12 in 2019.
- 2019
- 5 districts
- 2026
- 12 districts
- 2019
- 12 districts
- 2026
- 18 districts
Pressure on public services and infrastructure
The projected demographic changes present logistical demands for municipal administrations managing public services with smaller working-age populations. As older residents retire, fewer young workers are entering the labor market to contribute to social security systems and provide municipal care. Manuel Slupina of the Wüstenrot Foundation explained that while policy cannot halt depopulation in many regions, public administration must actively structure the transition.
However, it can and must manage this process.
The study authors cautioned that shrinking populations risk eroding local infrastructure and public trust in democratic institutions. To counteract these effects, the authors recommended adapting basic public services through targeted solutions such as expanded telemedicine and community-run citizen buses.


