Ten Americas: a systematic analysis of life expectancy disparities in the USA
Published November 21, 2024, in The Lancet (opens in a new window)
In 2021, there was a 20-year gap between the lowest and highest life expectancies of the 10 demographic groups in the US.
Abstract
Background
Nearly two decades ago, the Eight Americas study offered a novel lens for examining health inequities in the USA by partitioning the US population into eight groups based on geography, race, urbanicity, income per capita, and homicide rate. That study found gaps of 12·8 years for females and 15·4 years for males in life expectancy in 2001 across these eight groups. In this study, we aimed to update and expand the original Eight Americas study, examining trends in life expectancy from 2000 to 2021 for ten Americas (analogues to the original eight, plus two additional groups comprising the US Latino population), by year, sex, and age group.
Methods
In this systematic analysis, we defined ten mutually exclusive and collectively exhaustive Americas comprising the entire US population, starting with all combinations of county and race and ethnicity, and assigning each to one of the ten Americas based on race and ethnicity and a variable combination of geographical location, metropolitan status, income, and Black–White residential segregation.
We adjusted deaths from the National Vital Statistics System to account for misreporting of race and ethnicity on death certificates. We then tabulated deaths from the National Vital Statistics System and population estimates from the US Census Bureau and the National Center for Health Statistics from Jan 1, 2000, to Dec 31, 2021, by America, year, sex, and age, and calculated age-specific mortality rates in each of these strata. Finally, we constructed abridged life tables for each America, year, and sex, and extracted life expectancy at birth, partial life expectancy within five age groups (0–4, 5–24, 25–44, 45–64, and 65–84 years), and remaining life expectancy at age 85 years.
Findings
We defined the ten Americas as: America 1—Asian individuals; America 2—Latino individuals in other counties; America 3—White (majority), Asian, and American Indian or Alaska Native (AIAN) individuals in other counties; America 4—White individuals in non-metropolitan and low-income Northlands; America 5—Latino individuals in the Southwest; America 6—Black individuals in other counties; America 7—Black individuals in highly segregated metropolitan areas; America 8—White individuals in low-income Appalachia and Lower Mississippi Valley; America 9—Black individuals in the non-metropolitan and low-income South; and America 10—AIAN individuals in the West.
Large disparities in life expectancy between the Americas were apparent throughout the study period but grew more substantial over time, particularly during the first 2 years of the COVID-19 pandemic. In 2000, life expectancy ranged 12·6 years (95% uncertainty interval 12·2–13·1), from 70·5 years (70·3–70·7) for America 9 to 83·1 years (82·7–83·5) for America 1. The gap between Americas with the lowest and highest life expectancies increased to 13·9 years (12·6–15·2) in 2010, 15·8 years (14·4–17·1) in 2019, 18·9 years (17·7–20·2) in 2020, and 20·4 years (19·0–21·8) in 2021.
The trends over time in life expectancy varied by America, leading to changes in the ordering of the Americas over this time period. America 10 was the only America to experience substantial declines in life expectancy from 2000 to 2019, and experienced the largest declines from 2019 to 2021. The three Black Americas (Americas 6, 7, and 9) all experienced relatively large increases in life expectancy before 2020,
and thus all three had higher life expectancy than America 10 by 2006, despite starting at a lower level in 2000.
By 2010, the increase in America 6 was sufficient to also overtake America 8, which had a relatively flat trend from 2000 to 2019. America 5 had relatively similar life expectancy to Americas 3 and 4 in 2000, but a faster rate of increase in life expectancy from 2000 to 2019, and thus higher life expectancy in 2019; however, America 5 experienced a much larger decline in 2020, reversing this advantage. In some cases, these trends varied substantially by sex and age group.
There were also large differences in income and educational attainment among the ten Americas, but the patterns in these variables differed from each other and from the patterns in life expectancy in some notable ways. For example, America 3 had the highest income in most years, and the highest proportion of high-school graduates in all years, but was ranked fourth or fifth in life expectancy before 2020.
Interpretation
Our analysis confirms the continued existence of different Americas within the USA. One’s life
expectancy varies dramatically depending on where one lives, the economic conditions in that location, and one’s racial and ethnic identity. This gulf was large at the beginning of the century, only grew larger over the first two decades, and was dramatically exacerbated by the COVID-19 pandemic. These results underscore the vital need to reduce the massive inequity in longevity in the USA, as well as the benefits of detailed analyses of the interacting drivers of health disparities to fully understand the nature of the problem. Such analyses make targeted action possible—local planning and national prioritisation and resource allocation—to address the root causes of poor health for those most disadvantaged so that all Americans can live long, healthy lives, regardless of where they live and their race, ethnicity, or income.
Funding
State of Washington, Bloomberg Philanthropies, Bill & Melinda Gates Foundation
Citation
Dwyer-Lindgren L, Baumann MM, Li Z, et al. Ten Americas: a systematic analysis of life expectancy disparities in the USA. The Lancet. 21 November 2024. doi:10.1016/S0140-6736(24)01495-8.
Authors
- Laura Dwyer-Lindgren,
- Mathew Baumann,
- Christopher J.L. Murray,
- Ali Mokdad,
- Zhuochen Li,
- Katya Kelly,
- Chris Schmidt,
- Wichada La Motte-Kerr
Datasets
All our datasets are housed in our data catalog, the Global Health Data Exchange (GHDx). Visit the GHDx to download data from this article.