Is Life Expectancy Increasing or Decreasing in the U.S.?

U.S. life expectancy is rising again after a dramatic collapse during the COVID-19 pandemic, but the recovery has been slow, uneven, and still leaves Americans well behind their peers in other wealthy nations. Before the pandemic even arrived, life expectancy in the United States had already stalled and, for some groups, reversed, driven by a combination of drug overdoses, cardiovascular disease, and widening inequality. The full picture is more complicated than a single trendline can capture, because the answer depends heavily on who you are, where you live, and how much you earn.

The Pandemic Crater and Its Partial Recovery

COVID-19 tore a hole in U.S. life expectancy that the country is still climbing out of. Life expectancy dropped sharply in 2020 and then fell further in 2021, with the U.S. losing an additional 2.7 months of life expectancy on top of the already steep 2020 losses.1PubMed Central. Life expectancy changes since COVID-19 That two-year consecutive decline was worse than what most western European countries experienced, though countries like Bulgaria and Slovakia were hit even harder. By 2022, a slow recovery had begun, with life expectancy ticking back upward, though the rebound was modest and incomplete.2PubMed. US life expectancy recovered slowly from pandemic in 2022, while Canada’s fell further

The pandemic did not just kill people directly through SARS-CoV-2 infection. It disrupted routine healthcare, delayed cancer screenings, strained emergency rooms, and worsened mental health and substance use. Researchers have also found that COVID survivors, particularly those who were hospitalized, face elevated mortality risk well after their acute illness resolves. Over half of hospitalized patients reported at least one major long COVID symptom at one month, and about a quarter still had persistent symptoms at nine to twelve months.3PubMed Central. Long COVID Syndrome, Mortality and Morbidity in Patients Hospitalized with COVID-19 From 16 Countries Studies have documented evidence of lasting injury to the lungs, heart, kidneys, and brain, along with increased risks of stroke and heart attack during long-term follow-up.4International Journal of Infectious Diseases. Mortality following recovery from COVID-19 hospitalization: A long-term cohort study How much this residual burden will continue to drag on population-level life expectancy in the years ahead remains an open question.

The Trouble That Started Before COVID

It is tempting to blame the pandemic for everything, but the U.S. was already an outlier among wealthy nations before 2020. In 2018, American men lived about 3.6 years less than the average in comparable high-income countries, and American women lived about 3.5 years less.5PubMed Central. Causes of America’s Lagging Life Expectancy: An International Comparative Perspective Compared to the global leaders, the gap was even wider: over five years for both sexes. This wasn’t a new phenomenon. The U.S. had been falling behind peer nations for decades, a drift that accelerated in the 2010s as other countries continued to post gains while American progress stalled or reversed for certain groups.

A big part of the story is what researchers have called “deaths of despair,” a term encompassing drug overdoses, alcohol-related liver disease, and suicide. The opioid crisis has been the single most devastating component. Between 2001 and 2016, opioid-related deaths in the U.S. climbed by 345 percent, from roughly 9,500 to over 42,000 per year. By 2016, one in 65 American deaths involved opioids, and among adults aged 24 to 35, the figure was one in five.6PubMed Central. The Burden of Opioid-Related Mortality in the United States Because these deaths hit young and middle-aged adults hardest, they erase decades of potential life per person, exerting an outsized pull on overall life expectancy. Researchers have argued that unless the structural drivers behind opioid use and despair-related deaths are addressed, treatment alone is unlikely to turn the crisis around.7The Lancet Regional Health – Americas. Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement

Cardiovascular Disease, Obesity, and a Stalled Decline

Heart disease remains the leading killer in the United States, and for decades, falling cardiovascular mortality was the single biggest engine of life expectancy gains. But that progress has slowed, and in some populations it has reversed. Obesity is a major reason. Research has shown that the relative importance of obesity in driving premature cardiovascular death has risen as other risk factors like smoking and high cholesterol have been brought under better control.8PubMed Central. Analysing premature cardiovascular disease mortality in the United States by obesity status and educational attainment The burden falls disproportionately on younger adults, men, and people with less education.

Meanwhile, deaths tied to diabetes and dementia have been climbing for over two decades. The age-adjusted mortality rate for deaths involving both diabetes and dementia roughly tripled between 1999 and 2023.9PubMed Central. Long-term trends in DM and dementia-related mortality among middle-aged and elderly adults in the United States, 1999-2023 As the population ages and obesity rates stay high, these intertwined conditions are becoming a larger share of the mortality landscape.

Who You Are Matters Enormously

A single national life expectancy figure hides staggering disparities by race, ethnicity, income, and geography. Between 2000 and 2019, before the pandemic, all major racial and ethnic groups except one saw gains. Black Americans gained about 3.9 years, reaching 75.3. Asian and Pacific Islander Americans gained 2.9 years, reaching 85.7. Latino Americans gained 2.7 years, to 82.2. White Americans gained 1.7 years, to 78.9. The one exception was American Indian and Alaska Native (AIAN) populations, whose life expectancy saw no meaningful change over the entire two-decade period, remaining around 73.1 years.10PubMed Central. Life expectancy by county, race, and ethnicity in the USA, 2000–2019 The gap between Black and White Americans narrowed during this period, but the gap between AIAN and White Americans widened.

The pandemic made many of these disparities worse. A large analysis tracking U.S. life expectancy through 2021 found that AIAN individuals fell to the lowest spot among all demographic groups, being overtaken by Black Americans in several regional groupings.11The Lancet. Life expectancy and mortality disparities in the ten Americas, 2000–21 The study also revealed that geographic location interacts with race in complex ways: Latino Americans in the Southwest had notably lower life expectancy than Latino Americans elsewhere in the country, and Black Americans in some county clusters had caught up with White Americans in low-income parts of Appalachia and the Lower Mississippi Valley.

The Growing Rural-Urban Split

Where you live in the U.S. has become an increasingly powerful predictor of how long you will live. During the 2000s, both rural and urban areas saw life expectancy rise, but urban areas gained more ground. Then, between 2010 and 2019, rural counties experienced outright declines in life expectancy for both men and women, while urban counties continued to post modest increases.12PubMed Central. The growing rural-urban divide in US life expectancy: contribution of cardiovascular disease and other major causes of death The primary driver of rural stagnation was the slowdown in cardiovascular mortality improvements, particularly among adults over 65. But rural areas were also hit harder by the opioid crisis, have fewer hospitals and clinics, and tend to have higher rates of smoking and obesity.

Income plays a parallel role. A landmark study found that the strongest local-area predictors of life expectancy for low-income Americans were the fraction of immigrants, median home values, local government spending, population density, and the share of college graduates.13PubMed Central. The Association Between Income and Life Expectancy in the United States, 2001–2014 In practice, this means that a low-income person living in a dense, well-educated metro area with robust public services tends to live significantly longer than a low-income person in a sparsely populated county with fewer resources. The gap between the richest and poorest Americans’ life expectancy runs to well over a decade.

The Gender Gap Is Widening Again

Women have always outlived men in the United States, but the size of that advantage has not stayed constant. For about four decades, the female longevity advantage was shrinking, mostly because men were quitting smoking and benefiting from better cardiovascular treatments. That convergence stopped around 2012, and since then the gap has been widening again.14PubMed Central. The Gender Gap in Life Expectancy in the United States and Deaths of Despair: Trends from 1979 to 2022 Deaths of despair, which fall more heavily on men, are a major factor. Men account for roughly two-thirds of opioid-related deaths, and the median age at death from opioids hovers around 40, right in the demographic sweet spot that most affects life expectancy calculations.

Healthcare Access and the Medicaid Effect

The United States is the only wealthy country without universal health coverage, and this gap in access has measurable consequences for mortality. When researchers studied the states that expanded Medicaid under the Affordable Care Act compared to those that didn’t, they found that expansion reduced all-cause mortality among working-age adults by about 11 deaths per 100,000, roughly a 3.6 percent decrease. The effect was concentrated in counties with the highest pre-expansion uninsurance rates and for causes of death most influenced by access to care.15PubMed. Did the ACA Medicaid expansion save lives?

The U.S. also has higher infant mortality than peer countries in Europe, a gap that has persisted for decades despite the country spending far more per capita on healthcare.16PubMed Central. Why Is Infant Mortality Higher in the United States Than in Europe? Infant deaths contribute to life expectancy figures because each lost infant represents an entire expected lifetime subtracted from the population average. The reasons are complex, involving differences in how births are classified, disparities in prenatal care access, and higher rates of preterm birth in the U.S.

Air Quality, Social Isolation, and the Invisible Killers

Some of the forces shaping U.S. life expectancy are less obvious than opioids or heart disease. Air pollution is one. A study published in the New England Journal of Medicine found that for every drop of 10 micrograms per cubic meter in fine particulate matter, life expectancy increased by about 0.6 years. Reductions in air pollution accounted for as much as 15 percent of the overall increase in life expectancy across the study areas.17PubMed Central. Fine-particulate air pollution and life expectancy in the United States Further research has found that the harm from air pollution is worse in states with greater income inequality, meaning the poorest residents in the most unequal states bear a double burden.18SSM – Population Health. Air quality and life expectancy in the United States: An analysis of the moderating effect of income inequality

Social isolation is another underappreciated risk factor. A meta-analysis of cohort studies found that socially isolated people have about a 33 percent higher risk of dying from any cause compared to those who are socially connected.19PubMed Central. Social isolation as a risk factor for all-cause mortality: Systematic review and meta-analysis of cohort studies In the U.S. specifically, each one-unit increase on social isolation scales has been associated with a 13 to 24 percent increase in mortality risk, depending on what other factors are accounted for.20PubMed Central. Loneliness, social isolation, and all-cause mortality in the United States The risk is particularly stark for people who already have cardiovascular disease: living alone was associated with a 48 percent higher risk of all-cause mortality among cardiac patients.21PubMed. Loneliness, Social Isolation, and Living Alone Associations With Mortality Risk in Individuals Living With Cardiovascular Disease With rising rates of single-person households and declining community participation, this factor could become more important over time.

Reasons for Cautious Optimism

Not everything in the picture is grim. One of the most promising medical developments in decades is the class of drugs called GLP-1 receptor agonists, originally developed for diabetes and now widely prescribed for obesity. Large randomized trials have consistently shown that these drugs reduce major cardiovascular events including heart attack, stroke, and cardiovascular death.22PubMed. Cardiovascular Risk Reduction With GLP-1 RA Drugs A meta-analysis covering nearly 100,000 patients found that GLP-1 receptor agonists reduced all-cause death by about 12 percent compared to controls.23PubMed. Cardiovascular Effects and Tolerability of GLP-1 Receptor Agonists: A Systematic Review and Meta-Analysis of 99,599 Patients Given that cardiovascular disease and obesity are two of the biggest drags on American life expectancy, widespread adoption of these medications could make a meaningful dent, though questions about cost, access, and long-term adherence remain.

The historical arc also provides some grounds for hope. Infectious disease mortality plummeted over the 20th century, falling from 797 deaths per 100,000 in 1900 to just 36 per 100,000 by 1980.24PubMed. Trends in infectious disease mortality in the United States during the 20th century That progress stalled and partially reversed in the 1980s and 1990s due to HIV/AIDS and other emerging infections, but the overall trajectory was one of extraordinary gains. Looking globally, researchers have found that record life expectancy in the world’s longest-lived country has increased at a remarkably steady rate of about three months per year for the last 160 years, with no sign of slowing.25Science of Aging Knowledge Environment. Forecasting Long Life: How low can human mortality go? The question for the U.S. is not whether further gains are biologically possible, but whether the country can address the social, economic, and healthcare barriers that have kept it from participating fully in that global progress.

How Reliable Are the Numbers Themselves?

It is worth noting that the data underlying life expectancy calculations are only as good as the death certificates they are built from, and those certificates are often surprisingly flawed. One study found that 85 percent of death certificates contained at least one error, with over half containing multiple errors.26PubMed Central. Death Certification: Errors and Interventions A systematic review found that the most common problems included missing time intervals, inappropriate or absent comorbidities, and incorrect statements about the underlying cause of death.27PubMed. Common errors in reporting cause-of-death statement on death certificates: A systematic review and meta-analysis These errors can distort our understanding of what Americans are dying from, even when the total death count itself is fairly accurate. If a heart attack is listed as the primary cause when the real driver was an undiagnosed metabolic condition, the data will point policymakers in slightly wrong directions. The overall life expectancy figure still reflects the basic reality of how long people are living, but the story behind that number is muddier than it looks.

This data messiness matters especially for understanding trends in conditions like dementia, metabolic disease, and drug overdoses, where coding practices have changed over time and physicians may not have consistent training in how to complete cause-of-death paperwork. It is one reason why researchers tend to trust large-scale trends more than year-to-year fluctuations or highly specific cause-of-death breakdowns. When you read that a particular cause of death is rising or falling, the direction is probably right, but the exact magnitude could be off.