Life Expectancy for Women in the United States: Current Data and Trends

Overview and current snapshot

Life expectancy for women in the United States reflects long-term mortality trends, public health interventions, and persistent disparities shaped by geography, race, ethnicity, and socioeconomic conditions. At the population level, life expectancy at birth estimates how long a newborn would live if current age-specific death rates remained constant throughout their life. For US women, life expectancy peaked in recent decades before experiencing notable declines, followed by partial rebounds. The COVID-19 pandemic and drug overdose crisis drove historic declines, with a modest recovery in recent years. These shifts are influenced by heart disease, cancer, chronic lower respiratory diseases, unintentional injuries, and diabetes, alongside structural factors such as access to care, preventive services, and social determinants of health.

Key definitions and measures

Life expectancy at birth versus period life expectancy

Life expectancy at birth is a period measure that summarizes current mortality conditions across all ages into a single number. It is not a prediction of how long any specific individual will live, but a useful indicator of population health and the burden of disease, injuries, and social inequities. It is distinct from life expectancy at older ages (such as age 65), which excludes early deaths and reflects survival after surviving to that point.

Period vs cohort life expectancy

Period life expectancy, the common headline statistic, uses current age-specific death rates. Cohort life expectancy tracks a specific birth cohort over their lifetime and can differ substantially when mortality patterns are changing. Understanding which measure is reported helps clarify whether observed changes reflect true longevity trends or shifting risks in a given time period.

Recent trends and historical context

US women’s life expectancy rose steadily through much of the 20th century, driven by advances in vaccination, antibiotics, maternal care, and chronic disease management. Gains slowed in the early 21st century and plateaued, with widening disparities by race, ethnicity, and place. Beginning in 2020, life expectancy for women declined sharply due to the pandemic and increases in external causes such as drug overdoses, reversing multi-decade gains. Since then, partial recovery has been observed, though levels remain below pre-pandemic baselines in many states and demographic groups.

Leading causes of death and their contributions

The leading causes of death for women in the United States consistently include heart disease, cancer, chronic lower respiratory diseases, stroke, and unintentional injuries. Heart disease and cancer together account for a large proportion of deaths in older women, while injury-related deaths, including drug overdoses and homicide, have been rising contributors to years of life lost, particularly among younger and middle-aged women. Disparities in cause-specific mortality are evident across racial, ethnic, and socioeconomic groups, shaped by social determinants, access to care, and neighborhood conditions.

Disparities and social determinants

Racial and ethnic differences

Life expectancy at birth varies substantially by race and ethnicity. Asian women and Hispanic women in the United States typically have higher life expectancy at birth than White women, who in turn tend to live longer than Black women. American Indian and Alaska Native women experience the lowest life expectancy at birth on average. These gaps reflect structural inequities, including differential access to health care, housing, education, employment, and exposure to environmental harms.

Place-based and socioeconomic factors

At the county and state level, life expectancy for women shows wide variation. Factors associated with higher longevity include greater access to primary care, higher educational attainment, lower poverty, and healthier housing and neighborhood environments. Conversely, areas with higher unemployment, limited transportation, food insecurity, and social isolation tend to have lower life expectancy, even after adjustment for individual income.

Factors that influence longevity and what works

Evidence-based strategies to improve life expectancy at the population level include expanding access to preventive care, reducing tobacco use, limiting alcohol misuse, addressing overdose risk through harm reduction and treatment, improving maternal and obstetrial care, and strengthening social safety nets. Public health efforts that target social determinants—housing, education, employment, and transportation—can produce meaningful gains. For individuals, maintaining a healthy diet, regular physical activity, adequate sleep, and strong social connections are associated with longer life and lower risk of chronic disease.

Data snapshot: selected metrics

Comparative context

Life expectancy for women in the United States is lower than in several other high-income countries, reflecting larger burdens of preventable mortality, firearm deaths, maternal complications, and inequities in health care access and delivery. Comparisons by race and ethnicity within the US show notably higher life expectancy for Hispanic and some Asian subgroups relative to White women, even after accounting for socioeconomic factors, a pattern often described as the Hispanic paradox in mortality. These comparisons underscore the importance of policy, health system performance, and social conditions in shaping longevity.

Looking ahead and useful indicators

Monitoring trends in life expectancy for women at national, state, and local levels helps identify where interventions can reduce inequities and improve outcomes. Useful indicators include cause-specific mortality rates, years of potential life lost, preterm birth rates, maternal mortality, access to primary care, and neighborhood deprivation indices. Sustained improvements require coordinated efforts across health care, public health, housing, education, and criminal justice systems to address the upstream drivers of premature death.