Sick days from mental illness: the documented figures for 2024
DAK: 342 sick days per 100 employees from mental illness (2024).
Mental illness causes long absences. DAK reports 342 sick days per 100 employees for 2024, based on 2.42 million employed DAK members; the prior-year figure is 341. For the ten-year comparison DAK reports a 52 % rise from 2013 to 2023 (213 to 323 days per 100 insured, previous methodology). From data year 2024 DAK uses a lead-diagnosis method and has recalculated prior-year values, so figures before 2023 are not directly comparable. BAuA reports 147.3m sick days in diagnosis group F00 to F99 across Germany in 2024, which is 16.7 % of all sick days.
Sick days per 100 employees from mental illness (DAK Psychreport 2025, data year 2024)
Sick days per 100 employees (2024)
DAK Psychreport 2025, 2.42m employed DAK members
Rise in sick days 2013 to 2023
DAK Psychreport 2024, 213 to 323 per 100 insured
Share of all sick days (F00 to F99)
Reference: all employees in Germany, BAuA, data year 2024
Mental-cause sick days Germany 2024
BAuA, economic cost of sickness absence 2024
Four sources, four reference populations
Figures on mental-illness absence come from different data sources with different populations, so two values from two sources are not directly comparable. BAuA projects onto all employees in Germany; insurer reports cover only their own members.
- BAuA, all employees in Germany, data year 2024: 881.5m sick days in total, of which 147.3m in diagnosis group F00 to F99, that is 16.7 % of all sick days
- DAK, employed DAK members, data year 2024: 342 sick days per 100 employees, prior year 341. This measures days per 100 insured, not a share of all sick days
- BARMER, 3.61m insured persons in work aged 15 to 64, data year 2024: 480 sick days per 100 insurance years from mental and behavioural disorders, up 7.2 % on 2023
- TK, working TK members, data year 2024: 328 sick days per 100 insurance years under a mental-disorder diagnosis
- BKK, employed BKK members, data year 2023: 16.7 % of all sick days and 5.1 % of all cases. Mental diagnoses are rare but produce long absences
The trend persists, but the ten-year comparison has a methodological break
For the ten-year comparison DAK reports a 52 % rise in sick days from 2013 to 2023, from 213 to 323 days per 100 insured. From data year 2024 DAK calculates by lead diagnosis and has recalculated the 2023 value from 323 to 341. In the Psychreport 2025 DAK states explicitly that the report therefore contains no long time series, and it withdrew one of its own releases that had compared new with old methodology. Values before 2023 must not be set against the 342 days reported for 2024.
What drives the rise
- Higher awareness and diagnostic rates, mental load is no longer hidden
- Shift from somatic to psychosocial diagnoses for long-term absence
- Structural drivers: workload density, shift work, always-on culture
- These explanations are common in the professional debate; their individual share of the rise is not quantified
Sources
- 1
DAK Psychreport 2025
DAK-Gesundheit, 2025
Datenjahr 2024. Bezugsgröße: 2,42 Mio. DAK-versicherte Erwerbstätige, alters- und geschlechtsstandardisiert. Wörtlich: 342 Fehltage je 100 Beschäftigte, Vorjahr 341. Der Report enthält ausdrücklich keine lange Zeitreihe, weil die Umstellung auf die Leitdiagnose einen Vergleich mit Werten vor 2023 unzulässig macht.
Quelle öffnen Abgerufen: 2026-08-24 - 2
BARMER Gesundheitsreport 2025
BARMER, 2025
Datenjahr 2024. Bezugsgröße: 3,61 Mio. BARMER-versicherte Erwerbspersonen im Alter von 15 bis 64 Jahren. Fehltage durch psychische und Verhaltensstörungen 448 auf 480 je 100 Versicherungsjahre, ein Zuwachs um 7,2 % gegenüber 2023.
Quelle öffnen Abgerufen: 2026-08-24 - 3
TK Gesundheitsreport 2025
Techniker Krankenkasse, 2025
6,0 Mio. Mitglieder, davon 5,95 Mio. Erwerbspersonen im Jahresmittel 2024. Psychische Störungen: 328 AU-Tage je 100 Versicherungsjahre bei Berufstätigen. Die ebenfalls genannten 19,1 AU-Tage je Erwerbsperson gelten für alle Diagnosen zusammen, nicht für psychische Diagnosen.
Quelle öffnen Abgerufen: 2026-08-24 - 4
Volkswirtschaftliche Kosten durch Arbeitsunfähigkeit 2024
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA), 2025
Datenjahr 2024, Bezugsgröße: alle Arbeitnehmenden in Deutschland, hochgerechnet aus 32,6 Mio. GKV-Mitgliedsjahren. F00–F99: 147,3 Mio. AU-Tage = 16,7 % aller 881,5 Mio. AU-Tage; 22,5 Mrd. € Produktionsausfall, 38,0 Mrd. € Ausfall an Bruttowertschöpfung (Tab. 1 und 2).
Quelle öffnen Abgerufen: 2026-08-24 - 5
WIdO Fehlzeiten-Report 2024
Wissenschaftliches Institut der AOK, 2024
Quelle öffnen Abgerufen: 2026-05-07
We use deeplink-friendly originals. Charts are redrawn from the data - no 1:1 copies. For Statista data the underlying primary source (e.g. WIdO, AOK) is named explicitly.
Further reading
Related datasets
Burnout burden AOK 2024
186,0 Tage · Sick days per 1,000 AOK members, diagnosis group Z73 (WIdO Fehlzeiten-Report 2025, data year 2024)
Cost per sick day
152 € · Lost production per sick day (BAuA, economic cost of sickness absence, data year 2024)
GB Psych coverage
47,4 % · Inspected businesses without a risk assessment (GDA Psyche programme 2013-2018, not a random sample)
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