JOLTS by Industry and State: What the Headline Hires-Quits-Layoffs Rate Doesn’t Show

JOLTS by industry and state: what the headline hires-quits-layoffs rate doesn’t show

The monthly JOLTS release gets covered almost entirely at the national level: one hires rate, one quits rate, one layoffs rate. That average sits on top of enormous variation — leisure and hospitality workers change jobs at nearly five times the rate of federal employees, and a South Dakota worker is more than twice as likely to quit in a given month as one in Massachusetts. Seasonally adjusted BLS JOLTS data, national series through May 2026, industry series through May 2026, state series through December 2025 (state data is released on a roughly five-month lag).

National hires / quits / layoffs rate, May 2026
3.3% / 1.9% / 1.1%
The single national number most coverage stops at.
Industry hires-rate spread, same month
1.3% – 5.8%
State/local education vs. accommodation & food services — a 4.5x range hidden inside the 3.3% average.
State quits-rate spread, Dec 2025
1.3% – 3.4%
Massachusetts vs. South Dakota. Zero states or regions are covered in typical JOLTS write-ups.
National hires, quits, and layoffs rates, 2000–2026

The standard chart: three national rates, monthly, seasonally adjusted. Useful for spotting recessions and the 2021–22 “Great Resignation” quits spike — but it’s an average across every industry and every state, which is where the rest of this piece goes.

0%2%4%6%8%10%2002200420062008201020122014201620182020202220242026
Hires rate
Quits rate
Layoffs & discharges rate
Unemployed workers per job opening, 2001–2026

Most JOLTS commentary shows openings and unemployment as two separate level lines. Dividing unemployed workers by openings collapses them into a single tightness reading: below 1.0 means there are more openings than unemployed workers to fill them (a “tight,” worker-favorable market); above 1.0 means more job seekers than openings (a “slack” market). The ratio peaked at 6.5 unemployed workers per opening in July 2009, in the aftermath of the financial crisis — far worse, and far more prolonged, than the shorter 2020 COVID spike. It then fell all the way to 0.5 (two openings per unemployed worker) at the height of the 2021–22 hiring boom, before drifting back up toward roughly 1:1 recently — a labor market with about as many openings as job seekers, not the acute worker shortage of a few years ago.

012345672002200420062008201020122014201620182020202220242026
Reading the gap near 2025: October 2025’s point is interpolated — the federal appropriations lapse that month paused BLS data collection, so no unemployment figure exists to pair with that month’s openings. Treat the dip as a missing observation, not a real one-month move.
Hires, quits, and layoffs rates by industry, May 2026

All 19 published industry groups, mutually exclusive (aggregates like “Total private” and “Government” are excluded so nothing is double-counted). Sorted by hires rate. The gray connector spans each industry’s low-to-high rate across the three measures — a short bar means the three rates cluster together; a long one means an industry has, say, high hiring but low separations (net growth) or the reverse.

0%1%2%3%4%5%6%Accommodation & food servicesArts, entertainment & recreationTransportation, warehousing & utilitiesProfessional & business servicesRetail tradeMining and loggingConstructionOther servicesInformationHealth care & social assistanceNondurable goods mfg.Private educational servicesDurable goods mfg.Real estate and rental/leasingWholesale tradeFinance and insuranceState/local govt., non-educationFederal governmentState/local govt. education
Hires rate
Quits rate
Layoffs & discharges rate
On “AI-exposed” layoffs: Information and Professional & Business Services are tied for the 4th-highest layoffs rate (1.8%) this month — real, but behind Construction and Arts/Entertainment (2.1% each), both of which are ordinary cyclical/seasonal sectors, not AI-exposed white-collar ones. Those same two sectors also hire briskly (2.9%–4.3%), so the churn reads as elevated turnover, not a one-way net loss of jobs.
Quits rate by state, December 2025 (most recent available)

State-level JOLTS runs about five months behind the national release, which is why this chart lags the others. The dashed line marks the December 2025 national average (2.0%). Quits track hiring ease more than layoffs do — workers quit more freely where jobs are easy to replace — so this is close to a map of where workers currently have the most leverage.

0%1%2%3%4%South Dakota3.4Indiana3.2Alaska3.0Montana2.9North Dakota2.7Wyoming2.7Louisiana2.7Delaware2.6Idaho2.6Ohio2.6Kansas2.5Michigan2.5Wisconsin2.5Mississippi2.4West Virginia2.4South Carolina2.4Iowa2.3Vermont2.2Nebraska2.2North Carolina2.2Missouri2.2Texas2.2Tennessee2.2Oregon2.2Oklahoma2.2Utah2.1Florida2.1Alabama2.1Illinois2.1Kentucky2.1Hawaii2.0Maine2.0New Mexico2.0Virginia2.0New Hampshire2.0Arkansas2.0Colorado2.0Maryland1.9Arizona1.9Minnesota1.9Rhode Island1.8Nevada1.8Pennsylvania1.8California1.7New York1.6Connecticut1.6New Jersey1.6Washington1.6Georgia1.6District of Columbia1.5Massachusetts1.3US avg 2.0%
The pattern: the highest-quits states skew smaller, lower-cost-of-living, and energy/agriculture-heavy (South Dakota, Indiana, Alaska, Montana, North Dakota, Wyoming); the lowest are dense, high-cost coastal and Northeastern labor markets (Massachusetts, DC, Georgia, Washington, New Jersey). That’s consistent with quits behaving like a proxy for how easy workers judge it to be to land a comparable job nearby — not simply a function of a state’s overall unemployment rate.
Data: BLS Job Openings and Labor Turnover Survey (JOLTS), national/industry/state series, seasonally adjusted, 2000–2026. Industry and state breakdowns exclude aggregate rollup categories to avoid double-counting.