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Economy

10.0% of Germany’s 20‑to‑24‑year‑olds are neither in training nor employed, EU data show.

Germany’s NEET Rate Rises to 10% Among 20-24-Year-Olds, Below EU Average

Source: Federal Statistical Office Germany · August 17, 2026 at 8:01 PM · AI-assisted report

10.0% of Germany’s 20‑to‑24‑year‑olds are neither in training nor employed, EU data show.
Photo: CEphoto, Uwe Aranas / CC BY-SA 3.0

KUALA LUMPUR, 18 AUGUST 2026 —

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KUALA LUMPUR — The share of young Germans aged 20 to 24 who are neither in employment nor education or training (NEET) rose to 10.0% in 2025, up from 8.8% in 2022, according to data from Germany’s Federal Statistical Office (Destatis) based on Eurostat comparisons.

Market Impact

The increase reflects a gradual upward trend in recent years, though Germany’s NEET rate remains below the EU average of 12.9%. The lowest rates were recorded in the Netherlands (5.6%), Sweden (7.3%) and Czechia (7.6%), while the highest were in Romania (22.8%), Bulgaria (17.3%) and France (16.2%). Luxembourg’s 2025 data was not yet available, with the 2024 rate at 10.8%.

Young women in Germany were slightly more likely to be NEET than young men, with 10.5% of women aged 20–24 in this category compared to 9.6% of men. Across the EU, the gender gap was wider: 13.2% of young women were NEET versus 12.5% of young men, with women disproportionately affected in nearly two-thirds of EU member states.

Urban-rural disparities also varied. In Germany, NEET rates were higher in cities (10.6%) than in rural areas (7.9%), while the EU pattern was reversed, with rural youth (15.4%) more likely to be NEET than urban youth (11.5%).

The reasons for young people’s disengagement from education or work differ. In Germany, 25% of NEETs aged 20–24 were unemployed, 66% were economically inactive (e.g., due to caregiving or health issues), 6% were about to start training or study, and 4% were preparing to take up a job.

Among inactive NEETs, 20% cited caregiving responsibilities and 18% health limitations as barriers, while 17% were not seeking work for educational reasons, possibly awaiting a place in education or training.

The NEET indicator, derived from Eurostat’s Labour Force Survey (LFS), measures those not in employment, education or training, including non-formal education. This differs slightly from Germany’s national methodology, which follows ILO standards and focuses on formal education, based on the Mikrozensus core module.

The data was published by Destatis on August 17, 2026, and is drawn from Eurostat’s international comparison database. The national education report cited in the analysis is produced by a consortium of research institutes, including the DIPF Leibniz Institute for Educational Research and the German Youth Institute, with support from the Standing Conference of the Ministers of Education and Cultural Affairs and the Federal Ministry of Education and Research.

Malaysia Market Impact While the NEET rate in Germany remains below the EU average, the upward trend may signal challenges in youth labour market integration, particularly in urban centres. For Malaysian policymakers and education stakeholders, Germany’s experience underscores the importance of targeted interventions—such as vocational training expansion, mental health support, and childcare assistance—to reduce youth disengagement. The gender and regional disparities highlighted in the data also offer lessons for designing inclusive employment and education policies.

Sector/Company Specifics No company-specific data was provided in the report. However, the findings may influence education technology firms, vocational training providers, and youth employment platforms in Malaysia, particularly those offering flexible learning or upskilling solutions for young adults. The rising NEET rate in Germany could prompt closer scrutiny of similar trends in Malaysia’s own youth labour market, where NEET rates have been monitored by the Department of Statistics Malaysia.

Outlook Germany’s NEET rate is expected to remain a key indicator of youth labour market health, with further data releases from Eurostat and national sources likely to provide deeper insights into structural and cyclical factors. For Malaysia, cross-country comparisons—especially with EU peers—could inform the design of more responsive youth employment and education policies, particularly in addressing urban-rural divides and gender gaps. Further harmonisation of NEET measurement standards may also improve international comparability and policy learning.

Related: Kuala Lumpur

Reporting based on Federal Statistical Office Germany. Figures and claims are subject to revision as the story develops. DomainFork publishes editorial context, not investment advice — see our editorial standards.