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What JOLTS Reveals About Job Openings, Quits, and Layoffs

JOLTS tracks openings, hires, quits, and layoffs. Learn how its measures fit together and what they reveal about the labor market.

A falling unemployment rate and a strong payroll number can describe the labor market without showing how much movement is happening underneath. Every month, people take jobs, leave voluntarily, get laid off, retire, or move to another location within the same company. Employers post vacancies, withdraw them, and hire at different speeds. The Job Openings and Labor Turnover Survey, usually shortened to JOLTS, measures that churn.

Its figures often appear in headlines as a verdict on whether the job market is “hot” or “cool.” That shorthand misses the survey’s real value. JOLTS separates labor demand from actual hiring and voluntary departures from employer-initiated ones. Read together, those measures reveal whether businesses are searching for workers, whether matches are being made, and whether employees feel able to move.

A monthly map of movement through workplaces

The U.S. Bureau of Labor Statistics collects JOLTS data from a sample of about 21,000 nonfarm business and government establishments. The sample is drawn mainly from the Quarterly Census of Employment and Wages, a vast administrative record that covers more than 95 percent of U.S. nonfarm payroll jobs. Establishments are selected across industries, regions, ownership types, and size classes so that responses can be weighted into national estimates.

An establishment is a particular workplace or location, not necessarily an entire company. A restaurant chain with many locations may have many establishments, while an independent shop may have one. That distinction matters because JOLTS follows payroll activity where work occurs. It does not follow individual workers from one employer to another, and it does not count self-employed people as employees of an establishment.

The survey also mixes two kinds of measurement. Job openings are a stock: a snapshot taken on the last business day of the month. Hires and separations are flows: every qualifying event that happened during the whole month. Comparing them is useful, but treating them as if they cover the same time period creates misleading conclusions.

Coworkers collaborating around a table in an office
JOLTS follows movement onto and off employer payrolls across industries, not the experiences of individual workers. Photo by Annie Spratt on Unsplash.

What the five main measures actually count

A position counts as a job opening only when it passes three tests set by BLS. A specific job must exist, the worker could start within 30 days, and the employer must be actively recruiting from outside that establishment. Posting an advertisement, accepting applications, interviewing candidates, contacting an employment agency, or displaying a help-wanted sign can all show active recruiting. A possible future position, an internal promotion, or a vacancy with a start date more than 30 days away does not qualify.

Hires count additions to payroll during the month. They include new and rehired employees, full-time and part-time staff, seasonal workers, recalled workers, and people who were both hired and separated within the same month. A promotion within the same location is not a hire because no one was added to that establishment’s payroll.

Separations are divided into three groups. Quits are generally voluntary departures initiated by employees. Layoffs and discharges are involuntary departures initiated by employers, including permanent layoffs, firings, closures, and seasonal terminations. Other separations cover events such as retirements, deaths, disability-related departures, and transfers to another location of the same organization.

Those definitions prevent a common mistake: assuming that every departure is a layoff or that every person leaving a job chose to quit. The categories describe different decisions and different economic pressures. They are most informative when the figures are kept separate before being added into total separations.

Why openings and hires do not move in lockstep

It sounds natural to expect one opening to produce one hire, but the survey is not a matching ledger. An opening is counted only if it remains unfilled on the last business day. A restaurant could advertise ten jobs, fill all ten by midmonth, and report ten hires but no openings at month’s end. Another employer might report the same unfilled vacancy for several consecutive months without making a hire.

Openings can exceed hires when employers struggle to find suitable applicants, keep recruiting for future growth, or leave positions unfilled for a long time. Hires can remain strong even as month-end openings fall if employers are filling vacancies quickly. Neither pattern is automatically good or bad; the surrounding industry, wage, productivity, and employment data help explain it.

Rates make comparisons easier across a growing or shrinking labor market. The openings rate divides openings by employment plus openings, because the denominator represents filled and unfilled positions. The hires and separations rates divide their events by employment. A million hires therefore carry a different meaning in a labor market of 100 million jobs than in one of 160 million.

Comparisons are strongest when they use the same definition and time frame. A job-board posting count, for example, may include duplicate advertisements, remote listings shown in several places, or positions that fail the JOLTS tests. Online postings can be timely and useful, but they are not interchangeable with the official survey’s estimate of active, start-within-30-days vacancies.

Quits and layoffs tell different parts of the story

The quits rate is often treated as a rough measure of worker confidence. Leaving voluntarily is easier when a person expects to find a better job, can afford a pause, or already has another offer. A broad rise in quits can accompany stronger wage competition and more job-to-job movement. A decline can suggest that workers see fewer attractive alternatives.

Confidence is not the only cause, however. People also quit because of caregiving needs, relocation, poor working conditions, health concerns, or a return to education. Industry patterns matter: accommodation and food services normally experience more turnover than many government or manufacturing workplaces. A national average can hide those very different rhythms.

Layoffs and discharges capture employer-initiated separations, but even that category needs context. A rise concentrated in one cyclical industry has a different meaning from a widespread increase across sectors. Seasonal terminations are included, which is one reason economists often prefer seasonally adjusted data for month-to-month comparisons.

Employees discussing work during an office meeting
Hiring and separations can both be high in a busy labor market, so no single JOLTS measure tells the whole story. Photo by Campaign Creators on Unsplash.

High quits and high hiring can coexist in a fluid market where workers are changing jobs and employers are replacing them quickly. Low quits and low layoffs can coexist in a quieter market where both workers and businesses are reluctant to make changes. The labor market may look stable in both cases, yet the amount of opportunity and risk beneath that stability is very different.

How to read a JOLTS release without overreacting

Start with direction, not drama. Check whether openings, hires, quits, and layoffs are moving together or sending mixed signals. Then compare rates as well as levels, because rates account for the size of the employment base. Industry and regional tables can show whether a change is broad or concentrated.

Next, look beyond a single month. JOLTS is a sample survey, so estimates carry sampling error and can move as more businesses report. BLS labels the first estimate preliminary and revises it the following month. Annual benchmarking and updated seasonal adjustments can revise several years of history, improving the series without implying that earlier statisticians made a mistake.

Seasonal adjustment is especially important around predictable hiring and separation periods such as holidays, school calendars, and summer employment. It removes estimated recurring patterns so that unusual changes are easier to see. Both adjusted and unadjusted numbers answer valid questions, but switching between them can manufacture a trend that is not really there.

Finally, place JOLTS beside other labor statistics. The monthly employment report measures the net change in payroll jobs and the unemployment rate; unemployment insurance claims track people filing for benefits; wage measures show changes in pay. JOLTS explains the movement that can produce those outcomes. A modest net gain in jobs may conceal large numbers of hires and departures that nearly cancel each other out.

That is the survey’s central insight: a labor market is not a still photograph. Openings show where employers are trying to add workers, hires show where matches were completed, quits show voluntary movement, and layoffs show employer-initiated losses. No one figure is a complete score. Together, they reveal how opportunity, caution, and disruption are moving through the economy.

Have any questions or need more information on the topics covered? Get quick answers, further details, or clarifications by chatting with our AI assistant, Novo, at the bottom right corner of the page.

Akshay Dinesh

As a student, I am dedicated to writing articles that educate and inspire others. My interests span a wide range of topics, and I strive to provide valuable insights through my work. If you have any questions or would like to reach out, feel free to contact me at akshay[at]novolearner.com

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