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Short answer: a labor-market chart can show whether hiring, job openings, quits, layoffs or unemployment are rising for a defined population and period. It cannot tell you whether one named employee will keep one particular job. To use a chart responsibly, identify exactly what it measures, who is included, where and when it was measured, and whether the latest numbers are preliminary or revised.
U.S. data illustrate the distinction. The Bureau of Labor Statistics (BLS) reported 7.1 million job openings, 5.2 million hires and 5.1 million total separations in August 2026. Those national, total-nonfarm estimates describe employer activity; they are not a probability of dismissal for an individual worker.
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What a labor-market chart can show
Charts summarize measurements, not personal forecasts. Depending on the series, they can indicate the amount of recruiting employers report, the number of people added to payrolls, voluntary departures, employer-initiated separations, unemployment or broader measures of unused labor. Each indicator answers a different question.
- Openings: How many positions employers were actively recruiting for at a specific point in time.
- Hires: How many people employers added during the month.
- Quits: How many employees left voluntarily during the month.
- Layoffs and discharges: How many separations employers initiated during the month.
- Unemployment: How many people met the household survey’s definition of unemployed.
- Payroll employment: How many jobs employers reported, measured through a separate establishment survey.
A chart is useful when its measure matches your question. If you want to know whether employers are still recruiting, openings are relevant. If you want to know whether workers are being dismissed, layoffs and discharges are more direct. Neither measure identifies the future of a specific position.
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Read the chart’s definition before its direction
Before interpreting an upward or downward line, record five details. Omitting any one can produce a confident but wrong conclusion.
Series and event definition
Confirm whether the line represents openings, hires, quits, layoffs and discharges, total separations, unemployment or payroll employment. Quits are voluntary exits; layoffs and discharges are employer-initiated. Treating quits as layoffs reverses the meaning of the data.
Level, rate and denominator
A level is a count, such as 7.1 million openings. A rate expresses events relative to a specified base. In JOLTS, the openings rate is openings divided by employment plus openings. Other JOLTS rates use monthly events divided by employment. Two series can move in the same direction while their rates change differently if employment changes.
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Check whether the estimate covers total nonfarm activity, a particular industry or a state. JOLTS state estimates are total nonfarm, and JOLTS does not collect occupation information. A national average can therefore hide very different conditions among industries, regions, employers and occupations.
Geography and reference period
Write down whether the chart is national, state-level or local, and whether it describes a point in time or a full month. JOLTS openings are counted on the last business day of the month. Hires and separations count events occurring throughout the month.
Release vintage and revision status
Note the release date and whether the latest observation is preliminary. BLS revises JOLTS when additional business and government reports arrive and when seasonal factors are recalculated. A value shown today is not necessarily the final value for that month.
What openings, hires, quits and layoffs actually measure
These JOLTS measures are related, but they are not interchangeable.
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|---|---|---|---|
| Job openings | Positions actively recruited for and available to start within 30 days | Counted on the last business day of the month | That a person will be hired, or that an incumbent’s job is secure |
| Hires | People added to an employer’s payroll | Events during the entire month | Whether hiring will continue or occur in a particular occupation |
| Quits | Employees who left voluntarily | Events during the entire month | That workers in a specific company can safely leave or find an equivalent job |
| Layoffs and discharges | Employer-initiated separations | Events during the entire month | That a low national rate protects every worker |
| Total separations | Quits, layoffs and discharges, and other separations | Events during the entire month | Which individual employees separated or why in a particular case |
Because openings are a snapshot and hires and separations are month-long flows, comparing their raw counts as if they covered the same time window is misleading. An opening can remain unfilled, be withdrawn, or be filled after the measurement date. A hire can fill an opening that existed earlier, and an opening can be created after the month’s hiring events have occurred.
August 2026 as a dated illustration
In the JOLTS release published September 29, 2026, BLS estimated 7.1 million openings, 5.2 million hires and 5.1 million total separations for August 2026. The corresponding rates were 4.3% for openings, 3.3% for hires and 3.2% for total separations. Within separations, the quits rate was 1.9% and the layoffs-and-discharges rate was 1.0%.
These figures describe U.S. total-nonfarm employer activity for that month. They do not mean that 1.0% of every occupation, company or employee group faced dismissal, nor that the 7.1 million openings were available to every job seeker.
How to read combinations of JOLTS indicators
- Openings above hires: Employers reported more recruiting positions at month-end than people hired during the month. This is not a guarantee that all openings will be filled.
- Hires above separations: Payroll additions implied by JOLTS were positive for that month, although the implied change is not identical to the separate payroll survey’s estimate.
- Low quits: Workers may be less willing or able to leave. Low quits do not prove that layoffs are low or that jobs are safe.
- Low layoffs with weak hiring: Existing workers may be staying put while opportunities for newcomers narrow. That combination still does not determine an individual worker’s outcome.
- Rising layoffs: Employer-initiated separations are increasing in the measured population, but the chart cannot show whether the increase is concentrated in one industry, state or employer unless that breakdown is provided.
What unemployment rates add—and leave out
The headline U-3 unemployment rate comes from the Current Population Survey (CPS), a household survey. It classifies people according to their work status and job-search activity, not according to an employer’s payroll records.
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Someone generally must have no job and have actively looked for work recently to be counted as unemployed. People on temporary layoff who expect recall are an exception to the active-search requirement. A discouraged worker who wants a job but has not searched in the past four weeks is not counted as unemployed in U-3.
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BLS also publishes broader alternatives:
- U-4: U-3 plus discouraged workers.
- U-5: U-4 plus other marginally attached workers, who want and are available for work but have not searched recently for reasons other than discouragement.
- U-6: U-5 plus people working part time for economic reasons, often called involuntary part-time workers.
These measures are not competing “correct” answers. They expose different forms of labor underutilization. A stable U-3 rate can coexist with changes in discouraged workers or involuntary part-time work, which is why a single unemployment line is not a complete job-security diagnosis.
Why official charts can disagree
The CPS household survey describes people and where they live. The Current Employment Statistics (CES) and JOLTS establishment surveys describe payroll jobs and employer activity at worksites. Their samples, definitions, geographic treatment, reference periods, collection methods, estimation procedures and response patterns differ.
As a result, household employment, payroll employment and JOLTS-implied employment change can diverge over a short period without either survey being erroneous. JOLTS hires minus separations is conceptually related to payroll change, but it should not be combined with the CES estimate as though both were the same series.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Revisions, preliminary months and trend reading
Do not treat the newest endpoint as fixed. In the August 2026 release, BLS revised July figures upward by 64,000 openings, 92,000 hires and 56,000 total separations. BLS attributes monthly revisions to additional reports and seasonal-factor recalculation.
For a more stable reading:
- Record the series name, geography, population and release date.
- Mark the latest month as preliminary when the agency does so.
- Compare several months rather than reacting to one change.
- Check whether revisions altered the earlier trend.
- Separate a change in the level from a change in the rate and its denominator.
The Federal Reserve’s July 2026 Monetary Policy Report said indicators of layoff activity had remained muted and that the JOLTS layoff rate averaged 1.1% so far in 2026, similar to its pre-pandemic average. That is the Federal Reserve’s description of aggregate conditions at the time of its report, not a promise about a future month or any employer.
The boundary between market context and personal job security
Aggregate data cannot account for the factors that decide an individual employment relationship: an employer’s financial position, a division’s budget, a contract’s terms, performance decisions, a site closure, a merger or a manager’s staffing plan. JOLTS has no employer-specific employee-risk model and no occupation field.
A low national layoff rate can coexist with layoffs concentrated in one company, occupation or region. Conversely, a high national rate does not mean every worker faces equal risk. Treat the chart as background context, then seek evidence matched to the decision you need to make.
Evidence that is more relevant to an individual assessment
- Recent announcements or filings from the employer, interpreted cautiously and with their date.
- Conditions in the employer’s industry and the worker’s state or metro area.
- Whether the person’s role is tied to a funded project, seasonal cycle or announced restructuring.
- Actual workplace signals such as hiring freezes, reduced hours or confirmed staffing changes, while recognizing that anecdotes are incomplete.
- Personal financial and contractual circumstances, which a public labor chart does not measure.
None of these turns public statistics into a precise probability. They simply reduce the mismatch between a national average and an individual’s situation.
Quick Recap
Common mistakes when interpreting a labor chart
- “Openings equal available jobs for me.” Openings are positions available to start within 30 days under the BLS definition, not offers to every worker or a promise of retention.
- “A falling quits rate means layoffs are rising.” Quits and layoffs are separate categories. A lower voluntary-exit rate does not identify the cause.
- “The latest month is definitive.” Preliminary values can be revised, as the July-to-August 2026 example shows.
- “National data describe my occupation.” JOLTS does not collect occupation information, so a national chart cannot rank occupational security.
- “U-3 captures everyone struggling to find work.” U-4 through U-6 include groups omitted from the headline rate, including discouraged and involuntary part-time workers.
- “Two official employment lines must match.” Household and establishment surveys measure different populations and concepts, so short-term differences are expected.
A practical checklist for any job-security chart
- Name the measure: openings, hires, quits, layoffs, unemployment or payroll jobs.
- Write the unit: count or rate, including the denominator.
- Identify coverage: national, state, industry or another population; note that JOLTS has no occupation detail.
- Identify timing: point-in-time stock or month-long flow.
- Check the release vintage: publication date, preliminary label and revisions.
- Compare related series: demand versus hires, voluntary versus employer-initiated exits, and levels versus rates.
- Match the scale to your question: use local, industry, occupation or employer evidence when assessing a personal risk.
- State the conclusion narrowly: describe what the chart establishes and explicitly avoid claiming an individual forecast it cannot support.
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