Please note: Employments active for less than 50 weeks in the reference year are excluded from the calculations for annual earnings. This is done to improve comparability of the data over time. Typically, the proportion of employments retained for annual earnings analysis is relatively consistent at both the total economy and economic sector level. However, due to the impact of the COVID-19 pandemic on the labour market, the proportion of employments retained for annual earnings analysis differs from previous years, specifically for those sectors most impacted by the COVID-19 pandemic.
Median annual earnings rose by 3.7% from €43,221 in 2023 to €44,816 in 2024. The median annual earnings for employments among males (€48,897) were 21.0% higher than among females (€40,424). However, employments among females recorded a larger percentage change (22.3%) over the five-year period from 2019 to 2024 compared with their male counterparts (20.7%).
In a similar trend to 2023, median annual earnings were highest in the Information & Communication (€80,147), Financial, Insurance & Real Estate (€59,023), and Public Administration & Defence (€56,745) sectors in 2024, while the lowest median annual earnings were recorded among employments in Accommodation & Food Services (€26,000) and Arts, Entertainment, Recreation & Other Services (€28,497).
Median annual earnings increased across all economic sectors since 2023. Economic sectors with the lowest median annual earnings recorded the largest percentage increase in the year to 2024; Accommodation & Food Services and Arts, Entertainment, Recreation & Other Services, both 6.3%. In contrast, employments in the Education sector recorded an increase of 2.7% in median annual earnings.
X-axis label | Male | Female |
---|---|---|
2016 | 37328 | 30507 |
2017 | 37960 | 31153 |
2018 | 39279 | 32014 |
2019 | 40517 | 33056 |
2020 | 44105 | 37462 |
2021 | 44892 | 37894 |
2022 | 45537 | 37782 |
2023 | 47187 | 39039 |
2024 | 48897 | 40424 |
Learn about our data and confidentiality safeguards, and the steps we take to produce statistics that can be trusted by all.