Key Takeaways
- In the US, people holding multiple jobholders experienced underemployment effects; BLS reports 1.2 million underemployed individuals among multiple jobholders in 2023 (CPS-based).
- In the EU, 2023 Eurostat labor force results show that the underemployment/low-hours problem is more common among retail and personal services; the combined share of persons with part-time wanting more hours is 4.8% of the sector workforce in those industries.
- In Canada, underemployment is concentrated in accommodation/food services; 2023 estimates show about 18% of part-time workers in that sector wanted more hours (Statistics Canada industry breakdown).
- 2.9% of the EU labor force was involuntarily part-time in 2023, as reported by Eurostat (subset aligned with part-time for economic reasons).
- Underemployment is estimated to cost the global economy $775 billion to $1.2 trillion annually through lost output, based on IMF estimates of labor underutilization gaps.
- In a 2022 OECD analysis, labor underutilization (including involuntary part-time) was equivalent to about 3.3% of potential output in advanced economies.
- A 2021 IMF working paper reports that an increase in involuntary part-time employment is associated with a measurable decline in household income growth; households in underemployed roles experienced lower income growth by about 0.6 percentage points (average effect).
- OECD data show involuntary part-time employment shares declined modestly in several OECD countries between 2021 and 2023, but remained above 2019 levels (reported by OECD labor market statistics).
- In a 2020 peer-reviewed paper, workers in temporary employment faced about a 1.4x higher probability of underemployment than permanent workers (Euro area analysis).
- A 2022 IMF paper estimates that demand shocks explain roughly 60% of variation in involuntary part-time changes across countries during 2020–2021.
- OECD data show that underemployment tends to be higher among lower-educated workers; in 2022, underemployment among workers with at most lower secondary education was 9.5% versus 4.8% for tertiary-educated workers in OECD countries (OECD labor market database).
- A 2022 J. of Economic Psychology study reports that underemployed workers report lower work-related wellbeing by 0.4 standard deviations compared with adequately employed workers.
- OECD estimates that spending on active labor market policies reduced unemployment by roughly 1.4 percentage points in evaluated programs between 2015 and 2020; outcomes are relevant for preventing underemployment via job matching improvements.
- In a 2020 randomized trial review (peer-reviewed), wage subsidies increased employment by about 7–10 percentage points for participants; improved job attachment can reduce involuntary part-time outcomes.
- In Germany, short-time work (Kurzarbeit) covered 6.7 million workers in 2020, a policy instrument intended to prevent layoffs that otherwise can lead to underemployment by reducing hours volatility.
Underemployment remains widespread, hitting involuntary part time workers across retail, services, and temporary jobs while costing trillions globally.
Related reading
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Market & Sector Mix5 stats
Market & Sector Mix Interpretation
02 · Category
Labor Metrics1 stats
Labor Metrics Interpretation
03 · Category
Economic Impact6 stats
Economic Impact Interpretation
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04 · Category
Trends & Drivers5 stats
Trends & Drivers Interpretation
05 · Category
Demographics & Inequality2 stats
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06 · Category
Policy & Outcomes6 stats
Policy & Outcomes Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Diana Reeves. (2026, February 13). Underemployment Statistics. Gitnux. https://gitnux.org/underemployment-statistics
Diana Reeves. "Underemployment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/underemployment-statistics.
Diana Reeves. 2026. "Underemployment Statistics." Gitnux. https://gitnux.org/underemployment-statistics.
Sources & references
25 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)

