Germany gender pay gap and inequality
Germany's annual gender pay gap and other inequality measures by federal state, from the BMBFSFJ.
Loading chart data…
| Indicator | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unemployment rate1 | ||||||||||||||||||||
| Germany17 | ||||||||||||||||||||
| Baden-Württemberg1 | ||||||||||||||||||||
| Both sexes2 | 4.6 | 4.2 | 3.9 | 3.5 | 3.9 | 4.1 | 3.2 | 3.2 | 3.5 | 3.8 | 3.8 | 4 | 4.1 | 3.9 | 4 | 4.9 | 5.1 | 5.6 | ||
| Women | 4.4 | 4.1 | 3.9 | 3.5 | 3.8 | 3.8 | 3 | 3.1 | 3.4 | 3.7 | 3.8 | 4 | 4.1 | 4.1 | 4.2 | 4.9 | 5 | 6 | ||
| Men | 4.7 | 4.3 | 3.9 | 3.5 | 4.1 | 4.4 | 3.3 | 3.2 | 3.6 | 3.9 | 3.8 | 3.9 | 4 | 3.8 | 3.9 | 4.9 | 5.2 | 5.3 | ||
| Bavaria1 | ||||||||||||||||||||
| Both sexes2 | 4 | 3.7 | 3.4 | 3.1 | 3.5 | 3.6 | 2.8 | 2.9 | 3.2 | 3.5 | 3.6 | 3.8 | 3.8 | 3.7 | 3.8 | 4.5 | 4.8 | 4.1 | ||
| Women | 3.9 | 3.6 | 3.3 | 3.1 | 3.3 | 3.4 | 2.7 | 2.8 | 3 | 3.3 | 3.5 | 3.7 | 3.8 | 3.7 | 3.9 | 4.4 | 4.7 | 4.6 | ||
| Men | 4.2 | 3.8 | 3.4 | 3.2 | 3.6 | 3.9 | 3 | 3 | 3.3 | 3.7 | 3.7 | 3.8 | 3.9 | 3.6 | 3.7 | 4.5 | 4.9 | 3.7 | ||
| Berlin1 | ||||||||||||||||||||
| Both sexes2 | 10.3 | 9.7 | 9.1 | 8.8 | 9.8 | 9.7 | 7.8 | 8.1 | 9 | 9.8 | 10.7 | 11.1 | 11.7 | 12.3 | 13.3 | 13.6 | 14 | 7.3 | ||
| Women | 9.9 | 9.3 | 8.9 | 8.5 | 9.1 | 9 | 7.2 | 7.4 | 8.2 | 9 | 9.8 | 10.3 | 10.9 | 11.3 | 12.1 | 12.3 | 12.7 | 7.8 | ||
| Men | 10.6 | 10 | 9.4 | 9.2 | 10.4 | 10.4 | 8.4 | 8.8 | 9.7 | 10.5 | 11.4 | 11.8 | 12.5 | 13.2 | 14.3 | 14.7 | 15.2 | 6.8 | ||
| Brandenburg1 | ||||||||||||||||||||
| Both sexes2 | 6.4 | 6.1 | 5.9 | 5.6 | 5.9 | 6.2 | 5.8 | 6.3 | 7 | 8 | 8.7 | 9.4 | 9.9 | 10.2 | 10.7 | 11.1 | 12.3 | 13.8 | ||
| Women | 5.8 | 5.6 | 5.5 | 5.2 | 5.3 | 5.5 | 5.2 | 5.8 | 6.4 | 7.4 | 8.2 | 8.9 | 9.3 | 9.7 | 10.3 | 10.5 | 11.7 | 12.6 | ||
| Men | 6.9 | 6.6 | 6.3 | 5.9 | 6.4 | 6.8 | 6.3 | 6.8 | 7.5 | 8.5 | 9.1 | 9.8 | 10.4 | 10.6 | 11.1 | 11.7 | 12.8 | 15 | ||
| Bremen1 | ||||||||||||||||||||
| Both sexes2 | 11.5 | 11.1 | 10.6 | 10.2 | 10.7 | 11.2 | 9.9 | 9.8 | 10.2 | 10.5 | 10.9 | 10.9 | 11.1 | 11.2 | 11.6 | 12 | 11.8 | 7.6 | ||
| Women | 11.2 | 10.8 | 10.5 | 10 | 10.1 | 10.3 | 9.3 | 9.3 | 9.7 | 10 | 10.4 | 10.6 | 10.7 | 10.8 | 11.1 | 11.2 | 11.1 | 8.1 | ||
| Men | 11.8 | 11.3 | 10.7 | 10.4 | 11.2 | 11.9 | 10.5 | 10.3 | 10.7 | 11 | 11.4 | 11.2 | 11.4 | 11.6 | 12.1 | 12.6 | 12.4 | 7.2 | ||
| Hamburg1 | ||||||||||||||||||||
| Both sexes2 | 8.3 | 8 | 7.4 | 6.8 | 7.5 | 7.6 | 6.1 | 6.3 | 6.8 | 7.1 | 7.4 | 7.6 | 7.4 | 7.5 | 7.8 | 8.2 | 8.6 | 7.6 | ||
| Women | 8.1 | 7.8 | 7.3 | 6.7 | 7.1 | 7 | 5.7 | 5.8 | 6.3 | 6.5 | 6.9 | 7.1 | 6.9 | 7 | 7.2 | 7.5 | 7.8 | 7.7 | ||
| Men | 8.6 | 8.2 | 7.5 | 7 | 7.8 | 8 | 6.5 | 6.8 | 7.3 | 7.6 | 7.9 | 7.9 | 7.9 | 7.9 | 8.4 | 8.9 | 9.4 | 7.5 | ||
| Hesse1 | ||||||||||||||||||||
| Both sexes2 | 5.8 | 5.5 | 5.2 | 4.8 | 5.2 | 5.4 | 4.4 | 4.6 | 5 | 5.3 | 5.5 | 5.7 | 5.8 | 5.7 | 5.9 | 6.4 | 6.8 | 8.5 | ||
| Women | 5.7 | 5.5 | 5.3 | 4.8 | 5 | 5.1 | 4.2 | 4.5 | 4.9 | 5.2 | 5.4 | 5.7 | 5.8 | 5.7 | 6 | 6.4 | 6.7 | 8.9 | ||
| Men | 5.9 | 5.6 | 5.2 | 4.7 | 5.3 | 5.6 | 4.6 | 4.7 | 5.1 | 5.4 | 5.5 | 5.7 | 5.9 | 5.6 | 5.7 | 6.4 | 6.8 | 8.1 | ||
| Mecklenburg-Western Pomerania1 | ||||||||||||||||||||
| Both sexes2 | 8 | 7.9 | 7.7 | 7.3 | 7.6 | 7.8 | 7.1 | 7.9 | 8.6 | 9.7 | 10.4 | 11.2 | 11.7 | 12 | 12.5 | 12.7 | 13.5 | 13 | ||
| Women | 7.2 | 7.1 | 7.1 | 6.7 | 6.8 | 6.9 | 6.4 | 7.2 | 7.7 | 8.7 | 9.5 | 10.3 | 10.7 | 11.2 | 11.7 | 11.6 | 12.6 | 13.2 | ||
| Men | 8.8 | 8.7 | 8.3 | 7.8 | 8.3 | 8.5 | 7.8 | 8.6 | 9.4 | 10.6 | 11.2 | 12 | 12.6 | 12.8 | 13.3 | 13.7 | 14.4 | 12.8 | ||
| Lower Saxony1 | ||||||||||||||||||||
| Both sexes2 | 6.1 | 5.9 | 5.7 | 5.3 | 5.5 | 5.8 | 5 | 5.3 | 5.8 | 6 | 6.1 | 6.5 | 6.6 | 6.6 | 6.9 | 7.5 | 7.7 | 8.1 | ||
| Women | 5.8 | 5.6 | 5.6 | 5.1 | 5.3 | 5.4 | 4.8 | 5.1 | 5.5 | 5.8 | 6.1 | 6.5 | 6.6 | 6.7 | 7 | 7.4 | 7.6 | 7.7 | ||
| Men | 6.4 | 6.1 | 5.8 | 5.4 | 5.8 | 6.1 | 5.2 | 5.5 | 5.9 | 6.2 | 6.2 | 6.5 | 6.6 | 6.5 | 6.8 | 7.6 | 7.8 | 8.5 | ||
| North Rhine-Westphalia1 | ||||||||||||||||||||
| Both sexes2 | 7.8 | 7.5 | 7.2 | 6.8 | 7.3 | 7.5 | 6.5 | 6.8 | 7.4 | 7.7 | 8 | 8.2 | 8.3 | 8.1 | 8.1 | 8.7 | 8.9 | 11.4 | ||
| Women | 7.5 | 7.3 | 7.1 | 6.7 | 7.1 | 7.1 | 6.3 | 6.6 | 7.1 | 7.4 | 7.8 | 8.1 | 8.2 | 8.1 | 8.1 | 8.5 | 8.7 | 11.3 | ||
| Men | 8.1 | 7.8 | 7.4 | 6.9 | 7.6 | 7.9 | 6.8 | 7 | 7.6 | 8 | 8.1 | 8.3 | 8.4 | 8.1 | 8.1 | 8.8 | 9.1 | 11.5 | ||
| Rhineland-Palatinate1 | ||||||||||||||||||||
| Both sexes2 | 5.5 | 5.3 | 4.9 | 4.6 | 5 | 5.2 | 4.3 | 4.4 | 4.8 | 5.1 | 5.2 | 5.4 | 5.5 | 5.3 | 5.3 | 5.7 | 6.1 | 6.5 | ||
| Women | 5.2 | 5 | 4.8 | 4.5 | 4.7 | 4.9 | 4.1 | 4.3 | 4.7 | 4.9 | 5.1 | 5.3 | 5.4 | 5.3 | 5.4 | 5.7 | 6 | 6.9 | ||
| Men | 5.8 | 5.5 | 5 | 4.6 | 5.2 | 5.5 | 4.5 | 4.6 | 5 | 5.3 | 5.3 | 5.4 | 5.5 | 5.2 | 5.2 | 5.8 | 6.2 | 6.2 | ||
| Saarland1 | ||||||||||||||||||||
| Both sexes2 | 7.4 | 7 | 6.8 | 6.3 | 6.8 | 7.2 | 6.2 | 6.1 | 6.7 | 7.2 | 7.2 | 7.2 | 7.3 | 6.7 | 6.8 | 7.5 | 7.7 | 4.2 | ||
| Women | 6.7 | 6.5 | 6.5 | 5.9 | 6.2 | 6.4 | 5.6 | 5.6 | 6.2 | 6.7 | 7 | 7.2 | 7.3 | 6.8 | 6.9 | 7.4 | 7.6 | 4.5 | ||
| Men | 8 | 7.5 | 7.1 | 6.6 | 7.3 | 7.9 | 6.6 | 6.5 | 7.1 | 7.6 | 7.4 | 7.2 | 7.4 | 6.7 | 6.7 | 7.6 | 7.8 | 3.9 | ||
| Saxony1 | ||||||||||||||||||||
| Both sexes2 | 6.9 | 6.5 | 6.2 | 5.6 | 5.9 | 6.1 | 5.5 | 6 | 6.7 | 7.5 | 8.2 | 8.8 | 9.4 | 9.8 | 10.6 | 11.8 | 12.9 | 14.1 | ||
| Women | 6.5 | 6.2 | 5.9 | 5.4 | 5.4 | 5.5 | 5 | 5.5 | 6.2 | 7 | 7.9 | 8.6 | 9.1 | 9.5 | 10.6 | 11.5 | 12.5 | 14.1 | ||
| Men | 7.3 | 6.9 | 6.4 | 5.8 | 6.3 | 6.6 | 5.9 | 6.4 | 7.1 | 7.8 | 8.5 | 9.1 | 9.8 | 10 | 10.7 | 12.1 | 13.2 | 14 | ||
| Saxony-Anhalt1 | ||||||||||||||||||||
| Both sexes2 | 8 | 7.7 | 7.5 | 7.1 | 7.3 | 7.7 | 7.1 | 7.7 | 8.4 | 9.6 | 10.2 | 10.7 | 11.2 | 11.5 | 11.6 | 12.5 | 13.6 | 12.8 | ||
| Women | 7.4 | 7.1 | 7.1 | 6.6 | 6.7 | 7 | 6.7 | 7.3 | 8.1 | 9.2 | 10 | 10.5 | 10.9 | 11.3 | 11.5 | 12.1 | 13.3 | 13.5 | ||
| Men | 8.5 | 8.2 | 7.9 | 7.5 | 7.8 | 8.3 | 7.5 | 8.1 | 8.7 | 9.9 | 10.4 | 10.8 | 11.4 | 11.7 | 11.7 | 12.7 | 13.8 | 12.1 | ||
| Schleswig-Holstein1 | ||||||||||||||||||||
| Both sexes2 | 5.9 | 5.7 | 5.5 | 5.2 | 5.6 | 5.8 | 5.1 | 5.5 | 6 | 6.3 | 6.5 | 6.8 | 6.9 | 6.9 | 7.2 | 7.5 | 7.8 | 7.8 | ||
| Women | 5.4 | 5.3 | 5.2 | 4.9 | 5.2 | 5.3 | 4.7 | 5.1 | 5.5 | 5.8 | 6 | 6.4 | 6.6 | 6.6 | 6.9 | 7.1 | 7.4 | 8.2 | ||
| Men | 6.3 | 6.1 | 5.8 | 5.4 | 6 | 6.3 | 5.4 | 5.8 | 6.5 | 6.7 | 6.9 | 7.1 | 7.2 | 7.2 | 7.5 | 7.9 | 8.2 | 7.4 | ||
| Thuringia1 | ||||||||||||||||||||
| Both sexes2 | 6.4 | 6.2 | 5.9 | 5.3 | 5.6 | 6 | 5.3 | 5.5 | 6.1 | 6.7 | 7.4 | 7.8 | 8.2 | 8.5 | 8.8 | 9.8 | 11.4 | 13.9 | ||
| Women | 5.9 | 5.9 | 5.7 | 5.1 | 5.2 | 5.5 | 4.9 | 5.2 | 5.7 | 6.5 | 7.3 | 7.8 | 8.2 | 8.6 | 9 | 9.8 | 11.5 | 14.8 | ||
| Men | 6.8 | 6.6 | 6.2 | 5.5 | 5.9 | 6.4 | 5.6 | 5.8 | 6.3 | 7 | 7.5 | 7.8 | 8.3 | 8.5 | 8.7 | 9.9 | 11.2 | 13.2 | ||
| Both sexes2 | 6.3 | 6 | 5.7 | 5.3 | 5.7 | 5.9 | 5 | 5.2 | 5.7 | 6.1 | 6.4 | 6.7 | 6.9 | 6.8 | 7.1 | 7.7 | 8.1 | 11.2 | ||
| Women | 6 | 5.7 | 5.5 | 5.2 | 5.4 | 5.5 | 4.7 | 5 | 5.4 | 5.8 | 6.2 | 6.6 | 6.7 | 6.8 | 7 | 7.5 | 7.9 | 12.4 | ||
| Men | 6.6 | 6.2 | 5.8 | 5.4 | 6 | 6.3 | 5.2 | 5.4 | 5.9 | 6.4 | 6.6 | 6.8 | 7 | 6.9 | 7.1 | 7.9 | 8.3 | 10.2 | ||
| Long-term unemployed as a share of the unemployed1 | ||||||||||||||||||||
| Germany17 | ||||||||||||||||||||
| Baden-Württemberg1 | ||||||||||||||||||||
| All unemployed people2 | 30.1 | 29.6 | 29.4 | 31.7 | 33.1 | 23.4 | 25.4 | 28.2 | 29.3 | 30.5 | 31.5 | 31.5 | 30.5 | 30.2 | 32.2 | 30 | 24.2 | 32.6 | ||
| Women | 30.5 | 29.6 | 28.5 | 30.5 | 33.1 | 24.3 | 26.8 | 29.6 | 31.1 | 32.6 | 33.3 | 33.2 | 32.6 | 31.9 | 33.8 | 32.4 | 28.6 | 35.5 | ||
| Men | 29.7 | 29.6 | 30.1 | 32.7 | 33.1 | 22.8 | 24.3 | 27 | 27.8 | 28.7 | 30 | 29.9 | 28.5 | 28.6 | 30.7 | 27.9 | 20.4 | 29.5 | ||
| Bavaria1 | ||||||||||||||||||||
| All unemployed people2 | 24.4 | 23.7 | 24 | 26.5 | 27.3 | 18.9 | 20.7 | 22.8 | 24 | 24.6 | 25.6 | 25.8 | 25.1 | 25.4 | 26.7 | 24.9 | 21.9 | 29.4 | ||
| Women | 24.6 | 23.6 | 23.4 | 25.6 | 27.6 | 19.8 | 22 | 24.1 | 25.5 | 26.7 | 27.4 | 27.5 | 27 | 27.2 | 28.6 | 27.6 | 26.2 | 33.3 | ||
| Men | 24.2 | 23.8 | 24.5 | 27.3 | 27.1 | 18.2 | 19.7 | 21.7 | 22.8 | 23 | 24 | 24.2 | 23.5 | 23.8 | 25.1 | 22.7 | 18.3 | 25.3 | ||
| Berlin1 | ||||||||||||||||||||
| All unemployed people2 | 30.7 | 29.9 | 30.7 | 36.5 | 37.4 | 24.6 | 25 | 27.4 | 28.9 | 31.9 | 32 | 32.6 | 33.4 | 34.3 | 33.9 | 36.1 | 36.1 | 42 | ||
| Women | 29 | 28 | 28.1 | 33.4 | 35.2 | 22.8 | 23.5 | 26 | 27.6 | 30.5 | 30.4 | 30.8 | 31.6 | 32.2 | 32 | 34.3 | 35 | 40.7 | ||
| Men | 32.2 | 31.5 | 32.9 | 39.1 | 39.1 | 26 | 26.3 | 28.5 | 29.8 | 33 | 33.2 | 34.1 | 34.7 | 36 | 35.4 | 37.5 | 37 | 42.9 | ||
| Brandenburg1 | ||||||||||||||||||||
| All unemployed people2 | 38.8 | 38.7 | 38 | 40.3 | 42.6 | 35.4 | 37.4 | 39.5 | 41.4 | 43.3 | 42.8 | 42.2 | 41.7 | 40.6 | 36.5 | 37 | 37.6 | 43.2 | ||
| Women | 37.2 | 37 | 36.2 | 38.2 | 41.8 | 35.3 | 37.6 | 39.8 | 42.4 | 44.9 | 44 | 43.8 | 43.8 | 42.7 | 39 | 40.2 | 42.4 | 47.9 | ||
| Men | 40 | 39.9 | 39.5 | 42 | 43.2 | 35.4 | 37.2 | 39.4 | 40.7 | 42.2 | 41.9 | 40.8 | 39.9 | 38.8 | 34.4 | 34.3 | 33.7 | 38.8 | ||
| Bremen1 | ||||||||||||||||||||
| All unemployed people2 | 41.5 | 41.2 | 41.1 | 44.2 | 47.6 | 39.6 | 40.7 | 43.6 | 44.1 | 44.3 | 43.6 | 43.6 | 44.6 | 43.9 | 42.4 | 41.9 | 42.1 | 48.2 | ||
| Women | 41.9 | 41.4 | 40.5 | 42.9 | 47.7 | 40.8 | 42.5 | 45.7 | 46.2 | 46.4 | 45.1 | 44.2 | 45.4 | 44.5 | 42.7 | 43.1 | 45.6 | 50.4 | ||
| Men | 41.1 | 40.9 | 41.5 | 45.2 | 47.6 | 38.7 | 39.4 | 42 | 42.4 | 42.7 | 42.4 | 43 | 43.8 | 43.5 | 42.1 | 41 | 39.3 | 46.3 | ||
| Hamburg1 | ||||||||||||||||||||
| All unemployed people2 | 31.5 | 30.4 | 30.3 | 33.3 | 34.7 | 25.1 | 26 | 28.8 | 30.8 | 32.5 | 31.6 | 31.8 | 31.1 | 30.6 | 28.4 | 28.8 | 30.1 | 38.2 | ||
| Women | 30.3 | 28.6 | 28.3 | 31.3 | 33.4 | 23.6 | 24.6 | 27.6 | 29.6 | 31.4 | 30.2 | 30.3 | 29.7 | 28.9 | 27.3 | 28.4 | 30.9 | 38.8 | ||
| Men | 32.6 | 31.9 | 32 | 35 | 35.8 | 26.2 | 27.1 | 29.8 | 31.8 | 33.4 | 32.7 | 33 | 32.3 | 32 | 29.2 | 29.1 | 29.4 | 37.7 | ||
| Hesse1 | ||||||||||||||||||||
| All unemployed people2 | 35.7 | 35.4 | 34.2 | 36.2 | 37.3 | 28.6 | 31.6 | 34.7 | 36 | 37.5 | 37.6 | 37.1 | 36.3 | 36.1 | 38 | 37.5 | 36.9 | 43.7 | ||
| Women | 36.9 | 36.4 | 34.3 | 35.8 | 37.9 | 30 | 33.7 | 37 | 38.4 | 40 | 39.6 | 38.9 | 38.5 | 38.3 | 40.1 | 40.4 | 41.6 | 47 | ||
| Men | 34.7 | 34.5 | 34.2 | 36.6 | 36.8 | 27.4 | 29.9 | 32.8 | 34 | 35.4 | 35.9 | 35.5 | 34.3 | 34.1 | 36 | 35 | 32.8 | 40.5 | ||
| Mecklenburg-Western Pomerania1 |
Latest reading
The series on this page is annual and runs from 2007 to 2025. Source: Federal Ministry of Education, Family Affairs, Senior Citizens, Women and Youth (BMBFSFJ) – Digital Gender Equality Atlas.
About this data
Germany's annual gender pay gap and other inequality measures by federal state, from the BMBFSFJ. The table covers the unadjusted gender pay gap, gender pension gap, weekly working-hours gap between fathers and mothers, and employment rates of parents. It also details unemployment rates and people living from their own employment, broken down for women and men. Data is available since 2007 from the Digital Gender Equality Atlas.
Frequently asked questions
- What is the latest figure for Germany gender pay gap and inequality?
- The latest reading is 16 percent, for 2025. That is unchanged from 2024.
- How far back does the Germany gender pay gap and inequality data go?
- The series on this page is annual and runs from 2007 to 2025. Source: Federal Ministry of Education, Family Affairs, Senior Citizens, Women and Youth (BMBFSFJ) – Digital Gender Equality Atlas. Every series in the table can be charted over its full history and downloaded as CSV or Excel.
- What gender inequality measures are available for Germany?
- The data includes the unadjusted gender pay gap, the gender pension gap, and the weekly working-hours gap between fathers and mothers in Germany. It also covers differences in unemployment, employment and old-age living arrangements between men and women.
- Does the gender pay gap data cover German federal states?
- Yes, all employment and inequality measures are provided for Germany as a whole and broken down by the individual federal states, such as Hamburg and Rhineland-Palatinate.
- Who publishes the German gender gap statistics?
- The figures on Germany's gender pay gap and other inequalities are compiled by the Federal Ministry of Education, Family Affairs, Senior Citizens, Women and Youth (BMBFSFJ) and published annually in the Digital Gender Equality Atlas.