Quits Rate
What Is the Quits Rate?
An economic indicator from the Job Openings and Labor Turnover Survey (JOLTS) that measures the percentage of total employment that voluntarily leaves their jobs, serving as a key barometer of worker confidence.
The quits rate is a critical economic metric derived from the Job Openings and Labor Turnover Survey (JOLTS), which is released monthly by the U.S. Bureau of Labor Statistics (BLS). It specifically tracks "voluntary separations"—instances where employees choose to leave their jobs of their own accord, as opposed to being laid off, fired, or retiring. This distinction is vital because it isolates worker intent and confidence from broader economic trends. While layoffs tell us about the health of companies, the quits rate tells us about the confidence of the workers themselves. The rate is calculated by dividing the total number of quits in a given month by the total non-farm employment for that same month, then multiplying by 100 to get a percentage. Because it measures voluntary departures, economists and policymakers view the quits rate as a powerful proxy for worker leverage and sentiment. When the economy is robust and jobs are plentiful, workers feel confident enough to quit their current roles in search of higher pay, better benefits, or improved working conditions. This mobility is a hallmark of a dynamic economy where labor is allocated to its most productive uses. Conversely, during economic downturns or periods of uncertainty, workers tend to "hunker down" and hold onto their current positions, causing the quits rate to fall. Therefore, a high quits rate is often a sign of a healthy, dynamic labor market, while a low rate signals stagnation or fear about future prospects. For investors, monitoring the quits rate provides a unique perspective on the 'internal' pressure within the labor market that the headline unemployment rate often misses.
Key Takeaways
- A high quits rate suggests workers are confident in the labor market and their ability to find better opportunities.
- A low quits rate indicates uncertainty or fear about job security.
- It is closely watched by the Federal Reserve as a leading indicator of wage inflation.
- Often rises during economic expansions and falls during recessions.
- Can vary significantly by industry (e.g., higher in retail/hospitality than manufacturing).
How the Quits Rate Works as an Indicator
The quits rate functions as a unique economic signal that acts as a "lagging" indicator of overall economic health but a "leading" indicator of wage pressure and inflation. Its movements often precede changes in official wage data by several months, making it a favorite tool for forward-looking economists. Labor Market Tightness: A rising quits rate is a clear signal of a "tight" labor market, meaning the demand for workers exceeds the available supply. When employees are quitting in large numbers, employers are forced to compete for talent. To attract new hires and retain existing staff, they must raise wages and improve benefits. Consequently, a sustained high quits rate is often a precursor to broader wage inflation, as companies pass these higher labor costs on to consumers in the form of higher prices. This "churn" also forces companies to invest more in training and automation to mitigate the impact of losing experienced staff. Worker Confidence: The decision to quit a job without necessarily having another one lined up (or the confidence that one can be found quickly) reflects deep optimism about the economy. Historically, the quits rate peaks during the height of economic expansions and plunges at the very onset of recessions, often faster than the unemployment rate rises. This makes it an excellent "early warning system" for shifts in the business cycle. Federal Reserve Policy: The Federal Reserve monitors the quits rate closely when setting interest rates. If the rate is too high, it suggests the economy is overheating and wage-price spirals are a risk, potentially prompting rate hikes to cool the market. If it is too low, it suggests labor market weakness, potentially prompting rate cuts to stimulate economic activity. Chair Jerome Powell has frequently referenced JOLTS data, including quits, in his public statements regarding the Fed's dual mandate of price stability and maximum employment.
Interpreting High vs. Low Rates
The quits rate must be viewed in context. A rate that is high for one industry might be low for another. For example, the hospitality industry naturally has a higher churn than government work.
| Level | Market Sentiment | Wage Implication | Economic Context |
|---|---|---|---|
| High (e.g., > 2.5%) | Very Confident | Strong upward pressure | Boom / Overheating |
| Moderate (e.g., 2.0-2.4%) | Stable / Optimistic | Steady growth | Healthy Expansion |
| Low (e.g., < 1.8%) | Fearful / Cautious | Stagnant or falling | Recession / Slowdown |
Relationship to Wage Growth (Phillips Curve)
There is a strong correlation between the quits rate and wage growth, often linked to the Phillips Curve concept (the inverse relationship between unemployment and inflation). When workers quit, they usually do so for a higher-paying job. This creates a "benchmark" for wages across the entire industry. When the quits rate rises, employers face higher turnover costs. To stem the flow of departing workers, they often increase compensation for existing employees—a process known as "retention raises"—and offer higher starting salaries for new hires. This "wage-price spiral" can contribute to broader consumer price inflation (CPI) if companies raise prices to cover higher labor costs. Conversely, a low quits rate suggests workers have little bargaining power, leading to stagnant wage growth and potentially lower inflation. This dynamic is a key reason why the "quits-to-wages" transmission is a central focus for central banks trying to achieve a "soft landing" for the economy.
Real-World Example: The Great Resignation
Following the COVID-19 pandemic, the U.S. experienced a phenomenon dubbed "The Great Resignation." This period showcased the quits rate's power as a sentiment gauge during an unprecedented economic shift. In late 2021 and early 2022, the quits rate soared to record highs, peaking at 3.0% (over 4.5 million workers quitting per month). This surge was driven by a combination of factors: 1. Pent-up demand from workers who stayed put during the height of the 2020 lockdowns. 2. A shift in priorities (desire for remote work, better work-life balance). 3. Rapid wage increases in lower-paying sectors like hospitality and retail, which saw the highest quit rates. The result was a historically tight labor market that forced employers to raise wages at the fastest pace in decades, contributing significantly to the inflation spike of 2022-2023. By December 2025, the rate had normalized to around 2.0%, reflecting a more balanced and sustainable labor market.
Advantages of Using Quits Rate
1. Direct Sentiment Gauge: Unlike surveys which ask people how they *feel*, the quits rate shows what they are actually *doing* with their livelihoods. It is a "revealed preference" metric. 2. Industry Granularity: JOLTS data breaks down quits by industry (e.g., Professional Services vs. Leisure & Hospitality), allowing investors to see which sectors of the economy are overheating or cooling first. 3. Predictive Power: Changes in the quits rate often precede changes in the broader unemployment rate and wage growth, making it an essential tool for forward-looking financial analysis. 4. Worker Leverage Proxy: It is one of the few metrics that clearly illustrates the shifting balance of power between labor and capital.
Disadvantages and Limitations
1. Lag Time: JOLTS data is released with a one-month lag compared to the Non-Farm Payrolls (NFP) report, making it slightly "stale" by the time it reaches the public. 2. Voluntary Only: It does not capture involuntary job losses (layoffs/discharges), which are tracked separately. To get a full picture, one must look at "Total Separations." 3. Survey Size: The JOLTS sample size is smaller than the household survey used for the unemployment rate, which can lead to larger revisions and more volatility in the monthly data. 4. Doesn't Show Destination: The rate tells us people are leaving, but not *where* they are going—whether they are taking new jobs, starting businesses, or leaving the workforce entirely.
Tips for Interpreting the Quits Rate
When analyzing the quits rate, always compare it to 'Job Openings' (also from the JOLTS report). If openings are high and quits are also rising, it's a sign of a very hot labor market. However, if openings start to fall but quits remain high, it may indicate that workers are overconfident and could be heading for trouble. For traders, a surprise jump in the quits rate can be a signal to watch for upcoming interest rate hikes from the Fed.
Common Beginner Mistakes
Avoid these errors when analyzing the quits rate:
- Confusing "quits" with "layoffs" (they move in opposite directions—high quits are usually good for workers, high layoffs are bad).
- Assuming a high quits rate is always bad for the economy (it actually signals health and worker confidence, though it can fuel inflation).
- Ignoring industry-specific benchmarks (a 3% quit rate in retail is common, but in the finance sector, it would be alarming).
- Looking at the quits rate in isolation without considering the overall labor force participation rate.
- Failing to account for seasonal variations (quits often spike in certain months due to school schedules or holiday hiring cycles).
FAQs
Generally, a high quits rate is considered a positive sign for the economy because it indicates that workers are confident enough to leave their current jobs for better opportunities, higher pay, or improved working conditions. This mobility leads to a more efficient allocation of labor. However, if the rate remains extremely high for an extended period, it can lead to labor shortages and excessive wage inflation, which can be negative for corporate profit margins and overall price stability for consumers.
Typically, lower-wage industries with high churn, such as Leisure and Hospitality (restaurants, hotels) and Retail Trade, have the highest quits rates, often exceeding 3-4% monthly. These sectors are characterized by low barriers to entry and intense competition for hourly labor. More stable sectors like Government, Finance, and Manufacturing usually have much lower rates (often 1-2%) due to higher switching costs, more extensive benefit packages, and specialized skill requirements.
The total turnover rate includes all separations—quits, layoffs, discharges, and retirements. The quits rate specifically measures *voluntary* separations initiated by the employee for reasons other than retirement. Therefore, the quits rate is a subset of the total turnover rate and focuses purely on worker-initiated churn. While turnover can be high due to company downsizing, a high quits rate specifically reflects worker confidence and market attractiveness.
No. Retirements are classified under "Other Separations" in the JOLTS report, along with deaths and disability. The quits rate strictly counts workers who leave a job voluntarily, typically to take another one or to leave the workforce for personal reasons (like returning to school or caregiving). Separating retirements from quits allows economists to distinguish between the natural aging of the workforce and the cyclical confidence of active workers.
The data is published monthly by the U.S. Bureau of Labor Statistics (BLS) in the "Job Openings and Labor Turnover Summary" (JOLTS) news release. It is typically released on a Tuesday or Wednesday at 10:00 AM Eastern Time, about one month after the reference period. The data is available for free on the BLS website and is widely reported by financial news organizations like Bloomberg, CNBC, and the Wall Street Journal.
The Bottom Line
The quits rate serves as one of the most vital "under-the-hood" indicators of the U.S. labor market, providing psychological insights that broader metrics like the unemployment rate often miss. While the headline unemployment figure tells us how many people are struggling to find any work at all, the quits rate tells us how confident currently employed people are in their ability to find *better* work. This makes it a primary barometer for worker bargaining power and a leading indicator for wage-driven inflation. For investors, economists, and Federal Reserve policymakers, a rising quits rate is a flashing signal of a robust, possibly overheating economy where labor is in high demand. Conversely, a falling rate acts as an early warning system for waning consumer confidence and potential economic stagnation. By monitoring this metric alongside job openings and layoff data, market participants can gain a nuanced, real-time view of labor dynamics and the shifting balance of power between employers and employees, allowing for more informed decisions in both the equity and fixed-income markets.
More in Labor Economics
At a Glance
Key Takeaways
- A high quits rate suggests workers are confident in the labor market and their ability to find better opportunities.
- A low quits rate indicates uncertainty or fear about job security.
- It is closely watched by the Federal Reserve as a leading indicator of wage inflation.
- Often rises during economic expansions and falls during recessions.
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