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Cost & Conversion As of: 2026-05-07

Burnout in Germany: 184 sick days per 100 insured (AOK 2024)

184 sick days per 100 insured — burnout burden has nearly doubled since 2014.

AOK normalises all sick-leave data to 100 insurance years, which removes the noise of fluctuating headcounts. In 2024 burnout caused 184 sick days per 100 employed AOK members, up from 100 days in 2014. The average duration of a single burnout sick-leave episode is 28 days (general psychiatric AU) to 44 days (managers in care).

184 Tage

Sick days per 100 AOK members from burnout (2024)

184 days

Sick days / 100 insured (2024)

AOK Fehlzeiten-Report

100 days

Sick days / 100 insured (2014)

Factor 1.84 in 10 years

32.7 days

Care professionals per case

WIdO 2023

~5.7

Burnout cases / 100 insured

184 ÷ 32 (extrapolation)

Two metrics — both correct, different things

Burnout statistics use two structurally different reference units that are often blurred. Both are correct, but they describe different things — only together do they give a complete picture.

The two metrics are not contradictory — they complement each other: 184 sick days per 100 insurance years ÷ ~32 days per case ≈ 5.7 burnout cases per 100 employees per year. So whoever wants to size the burnout burden for a 100-person workforce can take either path — and should arrive at the same order of magnitude.

Burnout sick-leave duration 2023 by occupation (days per case)
Health/care management43.9 daysSales management37.4 daysCare professionals32.7 daysSocial administration31.5 daysPersonnel services30.1 daysFurniture/furnishings sales28.6 daysSpecial education28.5 daysSocial work28.5 daysElderly-care helper24.4 daysDialog marketing18.6 days
Datenquelle: Statista 507553 / WIdO Fehlzeiten-Report 2024

Social occupations as a cluster

The longest burnout durations cluster in social and caring occupations and their respective management tier. Care, social work, education and the supervisory level form a band of 24–44 days per case. Service roles with intense customer contact (dialog marketing, sales) sit at the lower end.

Methodology

  • Data base: 15.1m AOK-insured employees (reporting year 2023)
  • Occupational classification per KldB 2010, sick-leave data from AOK
  • Case duration = days per AU case with burnout diagnosis (ICD-10 Z73)
  • Values rounded to one decimal, no 95 % confidence interval

Sources

  1. 1

    Fehlzeiten-Report 2024

    Wissenschaftliches Institut der AOK (WIdO), 2024

    Datenbasis: 15,1 Mio. AOK-versicherte Beschäftigte, Berichtsjahr 2023.

    Quelle öffnen Abgerufen: 2026-05-07
  2. 2

    Burn-out — Berufsgruppen mit den meisten AU-Tagen nach Falldauer 2023

    Statista (Datenbasis WIdO), 2024

    Quelle öffnen Abgerufen: 2026-05-07
  3. 3

    AOK Fehlzeiten-Report 2024 — Pressemitteilung

    AOK-Bundesverband, 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.

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