Life, Death, and the States Between Them
A child born in Hawaii can expect to live nearly nine years longer than a child born in Mississippi. Same country. Same Constitution. Very different outcomes. This module uses real state-level data to ask why — and to discover that the answers are written in income, race, and geography.
The Nine-Year Gap
Life expectancy at birth is one of the most powerful summary statistics in public health. It captures infant mortality, access to healthcare, diet, violence, pollution, poverty, and dozens of other factors in a single number. And in the United States, that number varies enormously by state.
An 8.8-year gap between two American states is not a small rounding error — it is the difference between a generation that sees its grandchildren graduate high school and one that does not. It is the same gap that separates the United States as a whole from countries like Costa Rica and Chile. The question is not whether the gap exists. The question is why.
Life Expectancy Across All 50 States
Life Expectancy at Birth (Years) — Selected States, 2022
Notice the geographic pattern: the lowest life expectancy states form a cluster in the Deep South and Appalachia. The highest cluster in the Northeast, Pacific Coast, and Mountain West. This is not random — it maps almost perfectly onto the income, poverty, and racial composition data available on EasyStates.
The Social Determinants of Health
Public health researchers use the term social determinants of health to describe the non-medical factors that drive health outcomes: income, education, housing quality, food security, environmental conditions, and access to care. Research consistently shows these factors explain more of the variation in life expectancy than healthcare access alone.
✅ Protective Factors
- Higher median household income
- Higher rates of college education
- Lower poverty rates
- Lower smoking and obesity rates
- Greater access to primary care physicians
- Lower rates of uninsured residents
⚠️ Risk Factors
- Deep or persistent poverty
- High rates of smoking and obesity
- High uninsured population rates
- Environmental pollution (air, water)
- High rates of gun violence and opioid use
- Food deserts and poor nutrition access
Income Predicts Health — Explore the Pattern
Use the EasyStates state rankings tool below to compare states by median household income. As you scroll through the rankings, mentally note which states rank high and low. Then compare to the life expectancy chart above. The correlation is not perfect — but it is among the strongest in American public health data.
Race, Place, and Unequal Outcomes
The state-level life expectancy gap is partly explained by income — but income does not explain everything. Black Americans have historically had lower life expectancy than white Americans at every income level, a gap driven by chronic stress from discrimination, differential access to quality healthcare, and residential segregation that concentrates pollution and poverty.
The COVID-19 pandemic made this visible in real time. Black, Latino, and Indigenous Americans died at significantly higher rates than white Americans — not because of biological difference, but because of pre-existing disparities in income, housing density, essential worker status, and access to care that the pandemic exposed and amplified.
Reflection Prompts
Discussion Questions
- Find your state in the life expectancy rankings and the income rankings. Are they in the same tier? If your state ranks high on income but low on life expectancy (or vice versa), what factors might explain that mismatch?
- The U.S. spends more per capita on healthcare than any other wealthy nation, yet ranks below most of them in life expectancy. Using what you know about social determinants, propose one explanation for why spending more on healthcare does not automatically produce better population health outcomes.
- An 8.8-year gap in life expectancy between the highest and lowest states has existed for decades. Is this a public health problem, a political problem, an economic problem — or all three? What would need to change to close it?
- The COVID-19 pandemic disproportionately killed Black and Latino Americans. Using the concepts from this module, identify three specific social determinants that contributed to this disparity — and explain the mechanism for each one.
Module Quiz
Answer all five questions. You need 70% or higher to complete this module.