Who's Falling Through the Cracks?

Not everyone gets the care they need.

Every year, millions of American adults skip medical care, delay treatment, or go without mental health support — not because they don't need it, but because they can't afford it. The CDC's National Health Interview Survey tracks these barriers across demographics, giving us a window into who the healthcare system serves and who it leaves behind.

We analyzed 23,609 data points spanning 54 health conditions and access metrics across six years (2019–2024), broken down by race, income, education, insurance status, and more. What we found is a story of progress, fragility, and persistent structural gaps.

The landscape of inequality in 2024

Who faces the steepest barriers to healthcare? The answer depends on which lens you use — race, income, or education all reveal different dimensions of the same problem.

These aren't abstract statistics — the gap between the best-off and worst-off subgroups translates to real health outcomes: earlier diagnoses, preventive care, chronic disease management, and ultimately, life expectancy differences.

The pandemic changed everything. Temporarily.

The data shows a striking pattern: reported cost-related access barriers dropped sharply in 2020-2021, and gaps between high- and low-income groups narrowed. But the story is more complex than it appears.

Two forces were at play: expanded safety net policies (Medicaid continuous enrollment, enhanced unemployment, ACA subsidies) and universal healthcare avoidance due to lockdowns, fear of infection, and disrupted care systems. When everyone delays care — whether by choice or circumstance — gaps in reported access barriers can narrow even as actual healthcare utilization plummets.

The poverty gap in missed medical care shrank from 10.3 percentage points in 2019 to 5.0 in 2024 — a halving of the disparity. The trajectory bounced as pandemic protections expired (2022–2023), then dropped again. But this doesn't necessarily mean access improved for low-income groups — it may mean fewer people across the board sought care during peak pandemic years.

But not all gaps are closing.

While self-reported cost barriers fluctuated, insurance coverage disparities barely budged. The racial gap in uninsured rates has hovered between 20–25 percentage points for six years straight. Emergency policies may have helped people afford care within the system — but they didn't bring excluded populations into the system, and they didn't address the fact that many people simply stopped accessing healthcare entirely.

Where barriers hit hardest

Healthcare access barriers aren't evenly distributed across the country. At the county level, uninsured rates range from less than 2% to over 28% — a 14-fold difference. Border counties in Texas, rural Appalachia, and Native American territories face the steepest barriers, while coastal urban areas typically have the lowest rates. These disparities reflect differences in Medicaid expansion, local economies, and insurance market dynamics.

Who will fall through the cracks next?

Using machine learning, we forecast which demographic groups will face the highest healthcare access barriers in the coming years. Choose between two complementary models:

• 2025 Short-term Forecast (Gradient Boosting) — Predicts next year's trends using engineered features (lag values, rolling averages, year-over-year changes)
• 2026 Long-term Forecast (XGBoost) — Projects two years ahead using historical 2-year jump patterns (2019→2021, 2020→2022, etc.)

Built to be extended.

This analysis is open. Download the cleaned data, explore the full methodology in our Colab notebook, fork the code, or plug the dataset into Tableau or Power BI.