In January 2026, the layoff and discharge rate was 1.0%. That means 99 out of every 100 workers kept their jobs. It sounds reassuring — until you realize that even at the worst point of the Great Recession, the number was only 2.0%. Layoffs are rarer than you think, more concentrated than you expect, and more revealing than almost any other labor market indicator.
Few economic data points carry as much emotional weight as layoffs. The word conjures images of assembly lines going dark, of pink slips and empty cubicles, of communities hollowed out by plant closures. In the public imagination, layoffs are the defining feature of recessions — the moment when abstract economic statistics become personal catastrophes.
But the data tells a different story. The Bureau of Labor Statistics has tracked layoffs and discharges through its Job Openings and Labor Turnover Survey (JOLTS) since December 2000. The layoff rate — involuntary separations initiated by the employer as a share of total employment — has been falling steadily for a quarter century. In January 2001, it was 1.7%. In January 2026, it is 1.0%. That is a 41% decline. Even at the worst point of the Great Recession, the rate peaked at just 2.0%. The gap between normalcy and crisis, measured in layoffs, is remarkably narrow.
The most important fact in the JOLTS layoffs data is the trend. It goes down. Year after year, cycle after cycle, the rate at which American employers lay off workers has been declining. This is not a business-cycle phenomenon — it persists through booms and recessions alike. Something structural has changed in how American companies manage their workforces.
In the early 2000s, layoff rates consistently ran between 1.4% and 1.7%. By the mid-2010s, the range had compressed to 1.2% to 1.3%. Since 2020, it has fallen further to 1.0% to 1.2%. The January 2026 reading of 1.0% ties the lowest level in the history of the series, first reached in January 2022.
Several forces explain this long decline. The shift from manufacturing to services has reduced the share of workers in cyclical industries. The rise of “lean” staffing means companies hire fewer workers to begin with, reducing the need for large layoff events. Tightening labor markets have made employers reluctant to shed workers they may struggle to rehire. And the knowledge economy has increased the share of workers whose firm-specific skills make them expensive to replace.
The chart traces a clear downward channel. The 2001 recession started with layoffs at 1.7%. The mid-2000s expansion brought them to 1.3%. The Great Recession drove them back up to 1.9% in January 2009 (and 2.0% by April). The subsequent recovery pushed them steadily lower, reaching 1.1% by 2019. The pandemic caused extraordinary monthly spikes in early 2020, but by January 2022 the rate had fallen to a record-low 1.0%. Each cycle’s peak has been lower than the last. Each trough, lower than the last.
The headline annual data smooths over the most interesting story: how layoffs actually behave during a recession, month by month. The Great Recession provides the best case study in the JOLTS era — a severe downturn with a clear beginning, a terrifying middle, and a slow, grinding recovery.
The recession officially began in December 2007, but the layoff data tells us that employers saw it coming. Through most of 2007, the layoff rate hovered between 1.3% and 1.6% — slightly elevated from the 2006 average but not alarming. It was the kind of gradual drift that shows up in retrospect as the early signal of trouble.
Then came 2008. The first half of the year was deceptively stable, with layoff rates holding between 1.4% and 1.6%. But the financial crisis that erupted in September changed everything. By October 2008, layoffs hit 1.7%. November: 1.7%. December: 1.8%. The rate was accelerating as the financial system buckled, credit markets froze, and companies scrambled to cut costs.
The first four months of 2009 were the worst. January: 1.9%. February: 1.9%. March: 1.9%. April: 2.0% — the all-time peak in the JOLTS series. In absolute terms, employers were laying off approximately 2.5 million workers per month. Headlines screamed about hundreds of thousands of job losses. Major companies announced layoffs in the tens of thousands. The labor market felt like it was in freefall.
But here is the remarkable thing: even at the worst point of the worst recession in 70 years, 98% of workers kept their jobs every single month. The layoff rate peaked at 2.0% — meaning that even in April 2009, an employed worker had a 98-in-100 chance of still being employed the following month. The cumulative effect was devastating because layoffs compound over months while hiring stalls, but the monthly probability of any individual being laid off remained remarkably low.
The recovery was swift in layoff terms, if not in employment. By mid-2009, the rate was already declining — falling from the 2.0% April peak to 1.5% by November. Through 2010, it fluctuated between 1.3% and 1.7%, gradually settling into the 1.3–1.4% range. The lesson: layoffs spike sharply at the start of a recession but normalize quickly. It is the collapse in hiring, not the persistence of layoffs, that makes recessions drag on.
A 2.0% monthly layoff rate means roughly 2.5 million separations per month. Over a 12-month recession, that compounds to enormous job losses. But the monthly risk to any individual worker was never more than 2 in 100. The devastation of the Great Recession came not from massive monthly layoff spikes but from the duration of elevated layoffs combined with the near-total shutdown of new hiring. Workers who lost their jobs in 2008 faced an average job search of over six months — double the pre-recession norm.
Layoffs are not distributed evenly. The December 2025 JOLTS data reveals stark disparities that persist even in a healthy labor market.
Construction leads at 2.1% — more than double the national average. This is structural, not cyclical. Construction is project-based: when a building is finished, the workers move on or are let go. A construction worker faces roughly ten times the monthly layoff risk of a federal government employee.
Professional and business services ranks second at 2.0%. This category includes temporary staffing agencies, consulting firms, and IT services — industries where project-based employment is common. When companies reduce their use of temp workers, those separations show up as layoffs here.
Information comes in at 1.6%, elevated by the ongoing restructuring of the tech sector. The wave of tech layoffs that began in late 2022 has moderated but not fully subsided.
| Industry | Layoffs Rate (Dec 2025) | vs. National Avg (1.0%) |
|---|---|---|
| Construction | 2.1% | +1.1 pp |
| Professional & business services | 2.0% | +1.0 pp |
| Information | 1.6% | +0.6 pp |
| Leisure & hospitality | 1.4% | +0.4 pp |
| Trade, transportation, utilities | 1.3% | +0.3 pp |
| Mining & logging | 1.2% | +0.2 pp |
| Manufacturing | 0.9% | -0.1 pp |
| Other services | 0.9% | -0.1 pp |
| Education & health services | 0.7% | -0.3 pp |
| Financial activities | 0.4% | -0.6 pp |
| State & local government | 0.3% | -0.7 pp |
| Federal government | 0.2% | -0.8 pp |
Source: BLS JOLTS, December 2025 release. Rates are seasonally adjusted. National average for total nonfarm was approximately 1.0%.
At the other end, government is the most layoff-resistant sector. Federal workers face a layoff rate of just 0.2%, and state and local workers 0.3%. Civil service protections, union contracts, and political constraints make government layoffs exceedingly rare.
One striking surprise: manufacturing, at just 0.9%, is now below the national average. This would have been unthinkable in the 1970s or 1980s, when factory layoffs were the archetypal form of job loss. American manufacturing has shrunk to about 8% of total employment, and the remaining manufacturers tend to hold onto their workers. The days of mass factory layoffs are largely over — not because factories stopped laying people off, but because there are so few factory workers left to lay off.
The most powerful signal in the JOLTS data is the relationship between the layoff rate and the quit rate. Quits are voluntary — workers quit when they are confident they can find something better. Layoffs are involuntary — companies let workers go when demand is falling or restructuring is necessary. When quits exceed layoffs, workers are in the driver’s seat. When layoffs exceed quits, employers are. The crossover between these two lines is one of the most reliable recession indicators in the data.
The chart reveals three distinct regimes in 25 years of JOLTS data.
The normal state: quits above layoffs. In most years, more people choose to leave their jobs than are forced out. Through the 2003–2007 expansion, quits ran 0.5 to 0.9 points above layoffs. Through 2014–2019, the gap widened to 0.7 to 1.2 points as workers grew increasingly confident and mobile.
The recession inversion: layoffs above quits. It happened only once — during the Great Recession. In January 2009, layoffs hit 1.9% while quits fell to 1.5%. For the first time, more Americans were being pushed out than were choosing to leave. The inversion persisted through mid-2009 before quits reasserted dominance.
The Great Resignation: quits explode. In 2022, the quit rate reached 2.9% while layoffs fell to a record-low 1.0%. The 1.9-point gap was the widest ever recorded. Workers were quitting at nearly three times the layoff rate. The “Great Resignation” was not a mass exit from the workforce; it was a mass reshuffling, as workers leveraged their bargaining power to trade up.
Where do we stand now? In January 2026, the quit rate is 2.0% and the layoff rate is 1.0%. Quits are exactly double layoffs. This is a healthy, moderate signal — well above the recessionary inversion of 2009, but below the exuberant levels of 2022. The normalization from 2022’s extremes has been gradual and orderly: the quit rate has come down from 2.9% to 2.0% while layoffs have remained flat at 1.0%. Workers are less willing to take risks by quitting, but they are not being forced out in greater numbers.
For the layoff-to-quit ratio to flash a genuine recession warning, we would need to see layoffs rise above approximately 1.5% while quits fall below 1.7%. At current levels, the gap remains wide enough to indicate a fundamentally sound labor market.
The JOLTS layoff rate has important limitations. It measures the rate of involuntary separations, not their quality. The 2022–2024 tech layoffs illustrate this: while the overall layoff rate remained near historic lows, high-profile reductions at Meta, Amazon, Google, and Microsoft affected tens of thousands of well-paid workers. In aggregate JOLTS data, they barely registered — tech employment is a small share of the 158 million-person denominator.
The survey also does not capture the fear of layoffs, which can be as economically significant as actual layoffs. When consumers worry about losing their jobs, they reduce spending and increase savings — slowing the economy even if actual layoff rates remain low. The disconnect between low measured layoffs and high layoff anxiety has been a persistent feature of the post-pandemic economy.
With total nonfarm employment at roughly 158 million, a 1.0% layoff rate means approximately 1.58 million separations per month. A rise to 1.5% would mean 2.37 million — an increase of nearly 800,000 monthly layoffs. What looks like a trivial half-point rate increase represents hundreds of thousands of additional displaced workers.
A layoff rate of 1.0% means that 99 out of every 100 American workers kept their jobs last month. Even at the worst point of the Great Recession, the rate peaked at just 2.0% — meaning 98 out of 100 workers were retained. Layoffs are far rarer than most people believe, and they have been getting rarer for 25 years.
The real signal is not the layoff rate alone but its relationship to the quit rate. In 2009, layoffs exceeded quits for the only time in JOLTS history — the signature of a genuine labor market crisis. In 2022, quits were nearly triple layoffs — the signature of the Great Resignation. Today, quits are exactly double layoffs — a healthy, moderate balance that signals neither crisis nor euphoria.
The industries tell the story in finer grain. Construction workers face a 2.1% layoff rate; federal employees face 0.2%. The gap between them is wider than the gap between a boom and a recession. For any individual worker, the layoff risk depends far more on what industry you work in than on where we are in the business cycle. The next episode looks at another dimension of labor market precarity — the millions of Americans working part-time, and what their schedules reveal about the economy.