TheJobsMarket
Where the Jobs Are Going

Reading the Job Market

Short answer

The job market is described with a handful of published series that measure different things, and the one most quoted is the one that flatters the picture. Job openings in June 2026 were slightly above their 2019 average — but openings per unemployed person fell to 1.04 from 1.21, hires are down about 10 per cent, quits down 11 per cent, and the median unemployment spell has stretched from 9.2 weeks to 10.5. More advertising, fewer completed hires, more competition.

Almost everyone reading about the job market is reading a comparison without being told what it is compared to. The same figure supports opposite headlines depending on the baseline chosen, and the baseline is usually left out.

The openings series, in context

Annual average job openings ran about 7.15 million in 2019, spiked to 11.19 million in 2022, and settled at 7.08 million in 2025. The first half of 2026 averages about 7.26 million.

So against 2022 the market has fallen off a cliff, and against 2019 it is slightly above where it was. Both statements are true and the second is the more useful one, because 2021 and 2022 were the anomaly rather than the baseline.

The three series together

June 2026: openings about 7.36 million, hires 5.35 million, quits 3.23 million, layoffs 1.77 million. Openings sit slightly above their 2019 average and every other series sits below. The decisive one is the ratio — 1.04 openings per unemployed person against 1.21 in June 2019 — because it counts the people chasing the vacancies as well as the vacancies.

Different series answer different questions

Openings measure unfilled positions employers are actively recruiting for. Hires measure people actually starting. Quits measure voluntary departures and are the clearest published signal of worker confidence. Layoffs and discharges measure involuntary ones. A market can have high openings and low hires at the same time, and that gap is itself information.

The unemployment rate is narrower than it sounds

It counts people without work who are actively looking, as a share of the labor force. Someone who stops looking leaves the calculation entirely, which is why the rate can fall for reasons nobody would call good. Labor force participation is the companion figure that catches what the rate drops.

The four numbers worth checking before you start looking

The quits rate for your industry, which is the clearest published read on whether workers have leverage. Openings for the sectors your occupation sits in, compared against the same month a year earlier. The share of people unemployed 27 weeks or more, for your contingency planning rather than your expectation. And the seasonal shape of hiring in your field.

That is a thirty-minute exercise done once. Watching the data weekly is a way of feeling productive without applying to anything.

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Common questions

How many job openings are there?

About 7.36 million in June 2026 for total nonfarm, seasonally adjusted u2014 down roughly 40 per cent from the March 2022 peak and about 3 per cent above the 2019 average.

Is the market bad right now?

Harder than 2019 despite a similar openings count. Openings per unemployed person fell to 1.04 from 1.21, hires are down about 10 per cent and searches are longer.

What is the difference between openings and hires?

Openings are unfilled positions being recruited for; hires are people actually starting. A gap between them is itself a signal.

Why does the quits figure matter?

It is the clearest published measure of worker confidence, and most openings are created by somebody leaving u2014 so fewer quits means fewer vacancies for everyone.

Can the unemployment rate fall for bad reasons?

Yes. Someone who stops looking leaves the calculation, so the rate can improve while fewer people are working.

Where do these figures come from?

The Job Openings and Labor Turnover Survey for openings, and the Current Population Survey for unemployment and participation.

Where to go next

Automation and AI Exposure

That is the market as it is now. The next section is about which parts of it are structurally at risk.

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Charles Slocs

Data and research

Charles Slocs builds the data side of this site — pulling the federal wage and employment series, matching job titles to occupation codes, and working out what the numbers do and do not support. He writes the pages that are mostly a question about evidence: what a survey measured, how wide the spread really is, and which published figure is out of date.

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