Where Americans Sleep the Least, State by State

The Centers for Disease Control and Prevention has asked American adults the same question, by phone, every year since sleep duration became a standard item on the Behavioral Risk Factor Surveillance System (BRFSS): on average, how many hours of sleep do you get in a 24-hour period. The answers don’t scatter evenly across a map of the country. States clustered through central Appalachia and the industrial Midwest report a meaningfully higher share of adults sleeping fewer than seven hours a night than states clustered through the northern Great Plains and Mountain West, and that regional split has held up across multiple survey years rather than showing up once and disappearing.

Naming a single “worst state” from any one year of that data is less useful than it sounds. BRFSS sample sizes, question wording, and state participation have shifted enough over a decade of surveys that a precise national ranking pulled from a single year is a fragile thing to build an argument on. What holds up better is the regional pattern underneath it, and that pattern breaks into a small number of distinct causes rather than one cause wearing six different state names.

Three variables do almost all of the explanatory work: what a state’s dominant industries require someone to be awake and working for overnight, how far a state’s clock time has drifted from its actual solar time, and how demographically old or physically taxed the workforce is in the jobs that dominate its regional economy. Every state below pairs with one of those three, and no two lean on the same one twice.

How the CDC Actually Tracks This

BRFSS is a telephone survey, not a sleep lab. Every year, CDC partners with all fifty state health departments, plus DC and several territories, to interview more than 400,000 adults about health behavior, sleep duration among them. Yong Liu and colleagues at the CDC’s Division of Population Health, writing in the agency’s own Morbidity and Mortality Weekly Report in 2016 using a full year of that survey data, found that just over a third of U.S. adults nationally reported averaging fewer than seven hours of sleep, and that a double-digit percentage-point gap separated the states reporting the most short sleepers from the states reporting the fewest. Their state-by-state breakdown put the high end concentrated through the Southeast and central Appalachia, and the low end concentrated through the northern Great Plains.

The obvious limitation: this is self-reported duration collected over the phone. It doesn’t capture sleep quality, timing, or how fragmented the night actually was, and a state’s average can move for reasons that have nothing to do with any individual person misreporting anything. That limitation doesn’t erase the regional signal, though. A self-report survey run with identical wording across fifty states for more than a decade is still one of the few instruments capable of showing a pattern at this scale, even if it can’t fully explain the pattern on its own. The six items below are an attempt at that explanation, built from other data sources entirely, separate from BRFSS itself.

1. Coal, Steel, and Rubber Never Stopped Running Three Shifts

West Virginia, eastern Kentucky, and manufacturing corridors through Ohio and Indiana share an industrial base built around continuous-run operations: coal extraction, steel production, auto-parts and rubber manufacturing lines that are cheaper to keep moving around the clock than to shut down and restart daily. Rotating and overnight shift work in these industries isn’t new or seasonal; in many of these communities it has passed from one generation of a family to the next along with the job itself.

Two effects compound here rather than one effect doing all the work. The first is the schedule itself: a rotating shift disrupts sleep timing independent of how many hours a person actually gets. The second is the health burden that legacy heavy industry carries with it, chronic pain and disability rates tied to decades of physical extraction and manufacturing work, both of which independently suppress sleep duration on top of whatever the shift schedule is already doing. A workforce this large running rotating and overnight schedules is close to the textbook population in which Shift Work Disorder is likely underdiagnosed rather than actually rare, since a fatigue complaint tied to a work schedule is easy for both a worker and a doctor to file under “the job,” full stop, rather than under a recognized sleep diagnosis.

2. Nevada Built an Economy That Doesn’t Have a Closing Time

Las Vegas and Reno’s hospitality and gaming economy runs on a different logic entirely than a factory floor. Casino properties, hotels, and the restaurants and entertainment venues built around them don’t have an off-hours; overnight dealers, security staff, housekeeping turnover crews, and kitchen staff are core to the business model rather than an exception carved out of a normal daytime operation. Leisure and hospitality is one of Nevada’s largest employment categories, and a disproportionate share of those jobs exist specifically because the property never closes.

That produces a second, subtler effect beyond the shift workers themselves. In a region built around a 24-hour service economy, ambient light, noise, and traffic don’t quiet down the way they would in a city organized around a standard business day, which means even Nevada residents who work conventional daytime jobs are sleeping inside an environment engineered not to go dark. That’s a separate channel from item one’s rotating-shift schedule effect, driven by what the built environment around everyone else looks like when so many people are working through the night.

A composite drawn from patterns common to Nevada’s overnight hospitality workforce, rather than one identified person, illustrates the trade-off. A pit-floor supervisor at a mid-size Reno casino works four overnight shifts a week, finishing at 7 a.m., with two mornings a week where a school pickup collides directly with what would otherwise be her sleep window. She uses a wake-up app that requires an active check-in rather than one she can silence half-asleep, mainly to keep her wake time consistent on the two days she isn’t working nights, since an unanchored wake time on off-days is one of the more reliable ways a rotating-shift sleep schedule falls apart entirely. Whether that particular habit meaningfully changes her total sleep time isn’t something BRFSS, or any single-state survey, is built to measure. It measures duration, not consistency, and those are different things.

3. New Jersey Pays New York’s Rent With Commute Hours Instead

New Jersey, along with Maryland and parts of Virginia, consistently ranks among the states with the longest average one-way commute times in the Census Bureau’s American Community Survey, mostly because a large share of the workforce lives at New Jersey housing costs while working at New York City salaries. A commute built around a train schedule into Manhattan doesn’t just cost the hour or more spent traveling; it fixes both ends of the day around a departure time that has zero flexibility, compressing the sleep window from both directions at once, an earlier alarm to catch the train and a later arrival home regardless of how the workday actually went.

This is a distinct cause from either shift work or an always-on local economy. Nobody employed this way is working nights. The problem is entirely about the geography of housing cost relative to job location, and it shows up in the same BRFSS short-sleep numbers as an industrial schedule would, for a completely unrelated reason. The commute itself isn’t a neutral bridge between two full days; the roughly 200 hours a year an average American commuter spends in transit comes directly out of hours that would otherwise go to sleep, exercise, or anything else, and New Jersey’s commuter population pays a heavier version of that same toll than almost anywhere else in the country.

4. Michigan’s Clock and Its Sun Stopped Agreeing Decades Ago

Time zones are drawn along political and economic lines rather than solar ones, which means some places run their clocks meaningfully ahead of where the sun actually is. Michigan is one of the clearest examples in the country: the Eastern time zone extends across the entire state, including its western reaches, where true solar noon and sunset both arrive noticeably later, relative to the clock, than they do on the eastern edge of the same time zone.

Osea Giuntella, an economist then at the University of Pittsburgh, and Fabrizio Mazzonna, at Università della Svizzera Italiana, used exactly this kind of border discontinuity in a 2019 paper in the Journal of Health Economics, comparing communities on either side of U.S. time zone boundaries. Residents living toward the western edge of a time zone, where clock time and solar time diverge furthest, reported measurably less sleep than otherwise-similar residents just across the line, because school start times, work schedules, and social obligations run on the clock instead of the sun and don’t shift to compensate. A later sunset delays the body’s evening wind-down cues while the next morning’s alarm stays exactly where it was. Chronotype research comparing populations across the same latitude but different clock conventions finds the same pattern internationally; inside the US, it plays out state by state wherever a place’s clock sits too far from its own sun.

5. Alaska’s Daylight Doesn’t Play by the Rest of the Country’s Rules

Every mechanism above assumes a roughly normal day-night cycle that a schedule, commute, or clock offset is working against. Alaska breaks that assumption outright. Large parts of the state see close to twenty-four hours of daylight around the summer solstice and correspondingly little around the winter one, which removes or badly distorts the light-based cue the human circadian system relies on to know when a day has actually ended.

Light timing has been established as the primary external signal the human body clock uses to stay synchronized to a 24-hour cycle since foundational research by Charles Czeisler at Harvard Medical School in the 1980s and 1990s demonstrated how precisely-timed light exposure can shift that clock forward or backward. Standard daylight-timing research assumes a light-dark cycle exists to shift against; Alaska, for a real portion of the year, doesn’t offer one in any conventional sense. A resident working an ordinary daytime job, with no rotating shift, no unusual commute, and no time-zone mismatch, still contends with a light environment that gives the body far less useful information about time of day than it would almost anywhere else in the continental system BRFSS surveys.

6. Pennsylvania’s Older Population Needs Someone Awake at 3 a.m.

Pennsylvania has one of the oldest median ages of any large state and a correspondingly large hospital and long-term-care system built to serve that population, from major urban hospital networks to a dense footprint of nursing homes and assisted-living facilities across smaller towns. Round-the-clock clinical staffing isn’t optional in either setting, which makes healthcare support occupations and registered nursing an outsized share of total state employment relative to states with younger populations and fewer hospital beds per capita.

This is a demographic driver rather than an industrial or geographic one, and it’s the one most likely to keep growing: an aging population’s need for overnight clinical coverage tends to rise over time regardless of what happens to manufacturing employment, tourism, or commuting patterns in the same state. It’s also the cause on this list that overlaps least with the other five. A hospital doesn’t run overnight because raw materials are cheaper to process continuously, or because tourists expect a casino floor open at 4 a.m., or because a state’s clock sits west of where it should. It runs overnight because someone in the next room might need help before morning, and that need doesn’t check what time zone the hospital happens to sit in.

What the Pattern Actually Shows, and What It Doesn’t

Each of these six causes describes a place’s economy, geography, or demographics rather than its residents’ bedtime discipline, translated into a sleep-duration number by the CDC’s own survey instrument. A rotating factory shift, a casino floor with no closing time, a commuter rail schedule, a time zone that outran its own sunset, a daylight cycle that doesn’t behave like the rest of the map, and a region of hospitals serving an aging population are six unrelated facts about six different places that happen to land in the same column of the same federal survey.

The data’s usefulness runs out right about there. BRFSS can show, reliably and at scale, that these regional gaps are real and persistent. What it can’t do is assign weight between the six causes within any single state, separate correlation from causation at the individual level, or tell a reader which of the six, if any, applies to their own household. Six states, six different reasons, and one shared conclusion: a region’s sleep numbers read closer to a description of its economy than a verdict on the people living inside it. Nobody’s bedtime discipline shows up in a column that was built to track industries, commutes, and time zones instead.