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Job Openings and Labor Turnover Survey (JOLTS)

The Job Openings and Labour Turnover Survey, or JOLTS, is a United States Bureau of Labour Statistics survey measuring job openings, hires, and separations. It provides information about demand for workers and movement into and out of employment. An opening is an unfilled position meeting the survey's conditions, while a hire or separation is a movement during the reference month.

From the Money Master HQ dictionary, founded by Shihan Sheriff (FCMA, VP of Finance at Nomod, CFO at Esanjo Ventures). How these definitions are written.

What it means

A headline employment change shows the net result of many movements. JOLTS adds information about vacancies and turnover behind that result.

Employers can hire many people while also losing many, so a modest net change does not mean the workforce has remained static. BLS defines job openings at the last business day of the month, requiring a specific position and available work, a start within 30 days, and active recruiting of outside candidates by the establishment.

These conditions distinguish a real surveyed opening from a vague future hiring intention. Positions open only for internal movement, positions with later start dates and positions already filled by someone who has not started are excluded, so a company's online vacancy count cannot be compared mechanically with JOLTS without checking how each is defined.

Separations cover removals from payroll. They are divided into quits, layoffs and discharges, and other separations.

BLS treats retirements and certain transfers as other separations rather than quits, so informal language about people leaving can produce a different classification from the survey. Openings and flows use different timing.

Openings are a stock measured at month-end, while hires and separations occur over the month. Comparing these numbers can be useful, but it is not valid to assume that every hire must correspond to an opening still listed on the last day.

JOLTS complements other labour statistics rather than replacing them. It does not directly measure every job seeker's prospects or establish the unemployment rate.

Broad national, regional, or industry patterns can also differ from the conditions faced by a specific employer trying to fill a specialised role. For managers, the survey can inform recruitment budgets and retention discussions.

Compare relevant industries and consistent series, including whether data are seasonally adjusted. Do not turn one monthly movement into a certain forecast; survey estimates, revisions, definitions, and local conditions all affect interpretation.

In practice

Real-world examples.

1

Example

A fictional manufacturer sees hiring remain high while quits also increase. It does not interpret the hiring figure alone as workforce growth. The team checks its own retention and staffing records because replacing departing workers may account for much of the activity.

2

Example

An employer advertises a role intended to start in four months and includes it in an internal recruitment dashboard. The analyst notes that it does not meet JOLTS' within-30-days opening condition. The dashboard can still be useful, but its total describes a different basis from the survey measure.

3

Example

A service company counts every departure as a quit. When comparing with JOLTS, it separates retirement and employer-initiated discharge from voluntary resignations under the survey definitions. The corrected mapping avoids a misleading claim that its quit rate matches a benchmark built from different events.

Formula

Calculation

BLS defines the job-openings rate as openings divided by employment plus openings, multiplied by 100. It uses employment as the denominator for hires and separation rates, so these percentages do not share an identical basis. A fictional establishment has 900 employees and 100 qualifying openings. Its illustrative openings rate is 100 / (900 + 100) x 100 = 10%. With 45 hires during the month, a simplified hires rate is 45 / 900 x 100 = 5%. These figures demonstrate denominators, not an actual published survey estimate.

Case study

Seen in the real world.

In this fictional case, Fernhill Services tells its board that recruitment conditions have improved because national openings fell. Its own specialised vacancies, however, remain difficult to fill and the company has repeated resignations in one department. The finance manager compares JOLTS definitions with internal records and separates month-end vacancies from monthly hiring and departures. She also uses the relevant industry information rather than relying only on the national headline.

The board receives a clearer account of replacement hiring and local shortages. It revises the staffing discussion without claiming that a single survey movement predicts wages or explains every resignation. Definitions remain attached to the dashboard so later comparisons use the same basis.

Watch out

Common mistakes.

  • Confusing month-end openings with hires during the month and assuming that the two numbers describe the same set of positions.
  • Counting all departures as quits without separating layoffs, discharges, retirements, and other events under the survey's definitions.
  • Treating a national monthly headline as a certain forecast for a specific employer's recruitment costs, skills shortages, or retention conditions.

Questions

People also ask.

Does JOLTS measure unemployment?

It measures openings, hires, and separations. It complements other labour statistics, but does not itself supply the unemployment rate.

Is every advertised position a JOLTS opening?

No. The survey requires an existing position, work available, a possible start within 30 days, and active recruiting outside the establishment, among its definitions.

Can employment stay steady while hires are high?

Yes. Hires can be offset by separations. Gross workforce movement and net employment change answer different questions.

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Last updated · October 8, 2026
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