Key Takeaways
- U.S. mass layoffs: 20,003 workers were reported for mass layoff notices (WARN) in January 2024, per DOL/WARN data.
- In March 2020, U.S. initial unemployment insurance claims reached 6.87 million (first week of the pandemic period).
- In the week ending April 11, 2020, U.S. initial unemployment insurance claims reached 6.6 million.
- In 2023, the typical employer severance package was 1.6 weeks per year of service (WorldatWork survey).
- Median severance pay in WorldatWork survey reports equals 2 weeks per year for executives (WorldatWork).
- 15% of companies reported increasing severance expenditures as part of restructuring programs in 2022 (Aon survey on benefits and risk).
- 4-week average initial jobless claims averaged 1.8 million in 2019 (pre-pandemic baseline).
- 5.0% increase in labor turnover (layoffs/discharges) from the prior month occurred in a late-2022 period (JOLTS month-over-month comparison).
- JOLTS measures 'quits,' 'layoffs and discharges,' and 'other separations' as components of total separations.
- 64% of executives said workforce planning requires analytics to manage workforce reductions (Gartner workforce analytics survey).
- In a Gartner survey, 35% of HR leaders planned to automate parts of HR operations that are often part of restructuring workflows.
- 40% of organizations adopted 'employee experience' platforms to support redeployment during downsizing (HR tech adoption survey).
In January 2024, 20,003 WARN mass layoffs were reported, continuing a post 2020 labor market shock.
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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.
Priyanka Sharma. (2026, February 13). Layoffs Statistics. Gitnux. https://gitnux.org/layoffs-statistics
Priyanka Sharma. "Layoffs Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/layoffs-statistics.
Priyanka Sharma. 2026. "Layoffs Statistics." Gitnux. https://gitnux.org/layoffs-statistics.
Sources & references
36 datasets cited across this report · attribution is report-level
+18 additional datasets cited (not shown individually)

