JOLTS — the job openings report the Fed reads
The monthly jobs report usually grabs all the attention, but there is one data set that Jerome Powell has cited in public more often than many a first-Friday headline. It is JOLTS — the monthly survey of job openings and labour turnover in the United States. It does not move the dollar as violently as the payrolls report, yet it says something about labour-market tightness that the headline jobs number alone cannot show. It is worth knowing exactly what it measures and why the Fed watches it so closely.
What JOLTS is and what it actually measures
JOLTS stands for the Job Openings and Labor Turnover Survey. It is produced by the US Bureau of Labor Statistics, the same agency that publishes the payrolls report. The data comes out once a month, at 10:00 AM US Eastern time, which is around 16:00 in Central Europe; daylight-saving shifts can move that by an hour either way.
The report describes three sides of the same market. First, the number of job openings — positions that firms want to fill but have not yet filled. Second, hires, meaning how many people actually started work. Third, separations, which split into layoffs initiated by the employer and voluntary quits by workers. That distinction matters, because each of these numbers tells a different story about the health of the economy.
It helps to grasp at once how JOLTS differs from the payrolls report. NFP answers one question: how many people were added to or dropped from company payrolls in a given month. JOLTS reaches underneath that single figure and shows the flows beneath it — how many roles opened up, how many people were hired, and how many left. If NFP is the final score of a match, JOLTS is the possession and passing statistics that explain why the score looks the way it does. The two reports complement each other, even though they describe the same economy.
The two numbers the market watches
Of everything in the report, two figures matter most to the market. The first is the headline number of openings, usually set against the number of unemployed people. That ratio — how many vacancies there are for each person looking for work — is a convenient gauge of labour-market tightness for economists. When openings far outnumber job seekers, firms compete for staff, and sooner or later that feeds into wage pressure.
The second is the quits rate, the share of workers who left a job voluntarily. It sounds unremarkable, yet it is one of the best barometers of sentiment around. People quit a job for a better offer when they are confident they will quickly find something more rewarding. A rising quits rate signals a hot labour market and building pressure on wages. A falling one signals caution and fear of losing income.
"The labour market is out of balance: the number of job openings considerably exceeds the number of available workers." — Jerome Powell, FOMC press conference, 2022
Why the Fed reads JOLTS so closely
The Federal Reserve has a dual mandate: to keep prices stable and to pursue maximum employment. JOLTS touches both goals at once, which is why it became a fixture in the set of data the committee studies at every rate decision. Jerome Powell has repeatedly referred in public to the number of openings and to the ratio of openings to unemployed people as evidence that the labour market was over-tight. At the peak, that ratio reached close to two openings for every unemployed person — a level not seen before.
The logic is simple. An over-tight labour market means rising wages, rising wages feed inflation, and high inflation forces the central bank to keep interest rates high. So a strong JOLTS print, with a high number of openings and an elevated quits rate, is read by the market as an argument for more hawkish policy. A weak print, with shrinking openings and workers clinging to their jobs, argues for easing. The decline in openings from record highs was one of the signals that let the Fed talk about the labour market coming back into balance.
There is a practical lesson for a trader here. Powell himself has shown which numbers in this report he takes seriously, so you do not have to guess what the committee is watching. Since the Fed chair publicly cites the openings figure and the quits rate, those are the two lines worth following most closely, rather than the smaller components of the report. That way you read the data the way the institution that actually sets rates reads it, not the way a random headline suggests.
The lag, the report's Achilles heel
JOLTS has one fundamental weakness to keep in mind: it is lagged. The data refers to a month earlier than the latest jobs report. In practice that means a delay of roughly six weeks behind the current situation. When you see the openings number, it describes a labour market from more than a month ago, while NFP has already shown a fresher picture.
That lag explains why JOLTS moves the dollar less than the payrolls report. The market dislikes looking in the rear-view mirror, and JOLTS by definition shows the past. Even so, a big surprise can shift rate expectations, especially if it confirms or contradicts what fresher data has just suggested, such as the weekly initial jobless claims. Then the reaction on EUR/USD, USD/JPY or GBP/USD can be clear, though rarely as sharp as after the first Friday of the month.
How JOLTS fits the labour-market picture
JOLTS makes the most sense in the company of other data, not in isolation. It is best treated as one piece of a puzzle the market assembles over the whole month. The weekly jobless claims give the freshest pulse, the payrolls report shows actual employment, and JOLTS adds context: whether demand for workers is rising or fading, and whether people feel confident enough to change jobs.
For a trader watching dollar pairs, that is an important lesson: a single print rarely decides direction. What counts is the trend and the consistency of the signals. If openings fall, the quits rate eases and claims rise, the combined picture is a clearly cooling labour market that weakens the case for high rates. For the wider monetary-policy backdrop and how releases interact, the fundamental analysis section on ForexMechanics goes deeper.
Your next step
Start with scale, not with a single number. Before JOLTS comes out, check the consensus for the openings figure in your economic calendar and compare it with the previous print and with the current openings-to-unemployed ratio. That gives you the reference point against which to judge whether a reading is strong or weak.
After the release, do not fixate on the headline alone. Read the quits rate too, because that is the figure that best captures the wage pressure the Fed is watching. And remember the lag: JOLTS confirms or undermines a trend, but it rarely sets one. Weigh it against the freshest data and against how the dollar reacted before, rather than trading the first candle after the print. If you are still learning to read the macro calendar, follow several JOLTS, payrolls and claims releases together before you start making decisions on them. Understanding how the Fed decision moves the dollar will round out that picture.
Sources & bibliography
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U.S. Bureau of Labor Statistics Job Openings and Labor Turnover Survey (JOLTS) — home · oficjalna strona programu JOLTS: dane o wakatach, zatrudnieniach i odejściach www.bls.gov ↗
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U.S. Bureau of Labor Statistics Job Openings and Labor Turnover — latest news release · comiesięczny komunikat z nagłówkową liczbą wakatów i wskaźnikiem rezygnacji www.bls.gov ↗
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Federal Reserve Monetary Policy — maksymalne zatrudnienie i stabilność cen · podwójny mandat Fed i rola danych z rynku pracy w decyzjach o stopach www.federalreserve.gov ↗
Frequently asked
What is the JOLTS report?
JOLTS stands for the Job Openings and Labor Turnover Survey, a monthly study of job openings and worker turnover in the United States labour market. It is produced by the Bureau of Labor Statistics, the same agency that publishes the payrolls report. JOLTS shows three things: the number of openings, meaning positions firms want to fill, the number of actual hires, and separations split into layoffs initiated by the employer and voluntary quits by workers. In doing so it describes the flows hidden beneath the single headline jobs number from the payrolls report and gives a fuller picture of what is really happening in the labour market.
When is JOLTS released, and why is it lagged?
JOLTS comes out once a month, at 10:00 AM US Eastern time, which is around 16:00 in Poland; daylight-saving shifts can move that by an hour. Its defining feature is the lag: the data refers to a month earlier than the latest jobs report, which in practice means a delay of roughly six weeks behind the current situation. When you see the openings number, it describes a labour market from more than a month ago, while the payrolls report has already shown a fresher picture. That lag is why JOLTS moves the dollar less than the payrolls report, although a big surprise can still shift expectations for interest rates.
Why does the quits rate matter so much?
The quits rate is the share of workers who left a job voluntarily, and it is one of the best barometers of sentiment in the labour market. People quit a job for a better offer when they are confident they will quickly find something more rewarding. A rising quits rate therefore means a hot labour market and building wage pressure, because firms must raise pay to keep and attract people. A falling rate signals caution and fear of losing income. Jerome Powell has referred to this measure repeatedly, which is why the market treats it as a meaningful clue about future Fed policy rather than a mere statistical curiosity.
Does JOLTS move the dollar as much as NFP?
Usually not. Mainly because JOLTS is lagged, and the market dislikes looking in the rear-view mirror; the report describes the past, while the payrolls report shows a fresher picture of the labour market. For that reason the reaction on dollar pairs such as EUR/USD, USD/JPY or GBP/USD after JOLTS is usually clear but rarely as violent as after the first Friday of the month. That does not mean it can be ignored, however. A big surprise against consensus can shift expectations for Fed rates, especially when it confirms or contradicts what fresher data has just suggested, for example the weekly initial jobless claims.