Map of the United States highlighting cancer disparities.

Income and Cancer: Unmasking the County-Level Divide

"New study reveals how income disparities impact cancer death rates across US counties, highlighting key factors that could bridge the gap."


In the United States, cancer remains a formidable health challenge, and while advancements in prevention, diagnosis, and treatment have significantly reduced mortality rates, these benefits are not shared equally. Stark disparities persist, with cancer death rates varying considerably across different regions and socioeconomic groups. This raises critical questions about the underlying factors that drive these inequalities and how they can be addressed.

A recent study published in JAMA Network Open sheds light on the intricate relationship between county-level income and cancer death rates in the US. Researchers sought to determine whether income disparities contribute to the wide variations in cancer mortality observed across US counties, and to identify the specific factors that might mediate this association.

By analyzing data from over 3,000 counties, the study reveals a clear link between income levels and cancer death rates. However, the most compelling aspect of the research lies in its exploration of the factors that explain this disparity, offering valuable insights for targeted interventions and policy changes.

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Cancer Disparities and Their Impact

The CDC says cancer data are used to understand rates and trends, support research, measure prevention and control progress, focus action on eliminating disparities, and improve outcomes. The National Cancer Institute describes disparities in cancer incidence and mortality among some U.S. populations and identifies contributing factors as an area of focus. The American Cancer Society warns that disparities in outcomes associated with race, income, education, and geography may widen without attention from policymakers and health care providers. The AACR’s 2026 report highlights progress in survival alongside persistent inequities and the value of equitable access.

Inequalities Evolve with Society

IARC reports that cancer incidence and mortality are not equally distributed across countries and individuals, and that their magnitude and profile change over time alongside societies’ global socioeconomic development. The American Cancer Society identifies where people live and socioeconomic status, including income and education, among the bases on which cancer disparities may occur. The Cancer Atlas describes health inequalities as unjust and avoidable differences that can be linked to socioeconomic position and other group characteristics. It also states that sufficient investment in cancer prevention can mitigate inequalities within and between countries.

The Income-Cancer Connection: Unpacking the Disparities

Map of the United States highlighting cancer disparities.

The research team, led by Jeremy M. O'Connor and Cary P. Gross, conducted a cross-sectional study using death records from the National Center for Health Statistics in 2014. They analyzed data from all US counties and county equivalents, categorizing them into low-, medium-, and high-income groups based on median household income (MHI).

The study revealed a significant disparity in cancer death rates across the income groups. Low-income counties had substantially higher cancer death rates compared to their wealthier counterparts:

  • High-income counties: 185.9 deaths per 100,000 person-years
  • Medium-income counties: 204.9 deaths per 100,000 person-years
  • Low-income counties: 229.7 deaths per 100,000 person-years
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Income Measures and Cancer Outcomes

A systematic mapping review on physical activity and socioeconomic determinants among cancer patients includes a 2018 U.S. cross-sectional study using county-level income, described as a disparity risk index. A separate study examines U.S. cancer mortality trends by age and county-level income from 1999 through 2015. Its source notes that within-county income differences can be substantial and that income represents only one measure of socioeconomic status, chosen for interpretability and comparability with prior studies. Research on small bowel neuroendocrine tumors reports that a low-income environment is multifactorial, while its findings indicate a significant association with patient outcomes.

Limits in Measuring and Addressing Disparities

A study of cancer disparities among low-, medium-, and high-income U.S. counties says it did not assess city- or county-level regulations, limiting its evaluation of local health policies. The same study’s authors call for future research to test whether targeting possible mediators might reduce socioeconomic cancer disparities. The American Cancer Society identifies education, work, health insurance, housing, and income as factors its research team evaluates in relation to cancer inequities and possible approaches to reducing them. These sources point to gaps in assessing local policy and in establishing whether potential interventions will ameliorate disparities.

Inequality Across Countries and Social Groups

A 2021 article reports strong, well-documented evidence that socioeconomic inequalities in cancer survival exist both within and between countries, while noting that their underlying causes are not well understood. An umbrella review recommends that high- and middle-income countries work to eliminate regional and social-class disparities. It points to educational equity, fair employment and decent work, lifelong social security, and universal healthcare as routes toward health equity. Together, the sources describe disparities across geographic and social boundaries while emphasizing that the reasons behind survival differences remain incompletely understood.

But the study didn't stop at identifying the disparity. The researchers delved deeper to uncover the factors mediating the income-cancer relationship. Through mediation models, they pinpointed several key variables that explained a significant portion of the income-related disparity.

Closing the Gap: Towards Equitable Cancer Outcomes

This study paints a clear picture: income inequality significantly impacts cancer death rates across US counties. But it also provides a roadmap for action. By identifying the key mediators – food insecurity, low-quality care, smoking, and physical inactivity – policymakers and public health officials can develop targeted interventions to address these specific challenges in low-income communities.

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County-Level Disparities and Possible Mediators

A 2018 study set out to compare cancer death rates among low-, medium-, and high-income counties and examine geographic variation within and between those income groups. It also aimed to identify factors that might mediate county disparities and compare geographic patterns in associated factors. The study’s stated aims frame county income as one lens for examining differences in cancer deaths and possible contributing factors. Its source description does not provide results or establish that any particular factor causes the disparities.

Access and Experience in Cancer Care

A 2024 study in Canada reports that populations experiencing socioeconomic inequality have lower screening and diagnosis access and higher mortality rates than people in higher-income areas. It also notes that evidence about the experiences of people living with advanced cancer is limited, and says the study explored how socioeconomic inequality shapes those experiences. A 2025 real-world outcomes abstract identifies language proficiency, insurance coverage, and income as factors that influence access to preventive screening, early diagnoses, and advanced treatments. These sources connect socioeconomic barriers with access to care and describe patient experience as an area of investigation.

Future research should focus on evaluating the effectiveness of interventions aimed at these mediators. Do programs that improve access to healthy food, enhance the quality of clinical care, or reduce smoking rates lead to a measurable reduction in cancer death rates in low-income counties? Answering these questions is crucial for developing evidence-based strategies to close the cancer disparity gap.

Ultimately, achieving equitable cancer outcomes requires a multi-pronged approach that addresses not only individual behaviors but also the systemic factors that contribute to health disparities. By dismantling structural barriers and investing in the health and well-being of all communities, we can create a future where everyone has the opportunity to live a long and healthy life, regardless of their income or zip code.

What a county-level snapshot can establish

Observational study (level 4 of 8)

This observational, cross-sectional analysis links county income with county cancer death rates, but cannot establish that income or the associated factors caused those rates.[1] [2]

What the study leaves outside its frame

  • Because deaths were analyzed in aggregate, the study could not show whether the same patterns hold across different cancer types.[1]
  • The cross-sectional design could not establish causality or rule out unmeasured confounding.[1]
  • The fixed-effects approach leaves open whether state-level random effects would change the model’s estimates.[1]
  • The authors frame the results for population-level programs, not conclusions about any individual’s health.[1]

The county study at a glance

Study designObservational study[2]
PopulationAll US counties and county equivalents[2]
Sample size3135 counties[2]
SettingUS counties and county equivalents[2]
DurationData collected and analyzed between October 1, 2016, and July 31, 2017[2]
Main outcomeCounty-level age-standardized cancer death rate[2]
Effect sizeCancer death rate was 229.7 per 100 000 person-years in low-income counties, 204.9 in medium-income counties, and 185.9 in high-income counties[2]
Confidence interval95% CI, 22.4-27.4; 95% CI, 41.0-46.7[2]
p-valueP <.001 for all pairwise comparisons[2]
Times cited118[2]

How later work has used the county-level finding

An umbrella review reported lower access to cancer treatment among low-socioeconomic-status groups across cancers, with lung cancer patients particularly disadvantaged in treatment modalities; these are broader comparisons, not estimates from the county study.[3]

Questions for a next analysis

  • How do the county-level patterns differ by cancer type, given that this analysis pooled cancer deaths?[1]
  • Would including local regulations alter the assessment of policy-related contributors to the disparities?[1]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.1001/jamanetworkopen.2018.3146, Alternate LINK

Title: Factors Associated With Cancer Disparities Among Low-, Medium-, And High-Income Us Counties

Subject: General Medicine

Journal: JAMA Network Open

Publisher: American Medical Association (AMA)

Authors: Jeremy M. O’Connor, Tannaz Sedghi, Meera Dhodapkar, Michael J. Kane, Cary P. Gross

Published: 2018-10-05

Everything You Need To Know

1

What specific cancer death rate differences did the study find based on income levels?

The study, led by Jeremy M. O'Connor and Cary P. Gross, found a significant disparity in cancer death rates based on median household income (MHI). Low-income counties experienced notably higher rates, with 229.7 deaths per 100,000 person-years, compared to medium-income counties at 204.9 and high-income counties at 185.9 deaths per 100,000 person-years. This highlights how income inequality directly correlates with cancer mortality.

2

What factors were identified as the primary mediators between income and cancer death rates?

The researchers pinpointed several key variables that explain a significant portion of the income-related disparity. These mediators include food insecurity, low-quality care, smoking, and physical inactivity. Addressing these factors through targeted interventions could help reduce cancer death rates in low-income communities. These factors were found to be strongly associated with income level.

3

How was the study conducted, and what data was used to analyze the relationship between income and cancer death rates?

The study's methodology involved a cross-sectional analysis of over 3,000 US counties and county equivalents, using death records from the National Center for Health Statistics in 2014. Researchers categorized these counties into low-, medium-, and high-income groups based on their Median Household Income (MHI) to compare cancer death rates across different socioeconomic levels. Then, they used mediation models to identify the factors that mediated the relationship between income and cancer death rates.

4

Why is this study important, and what does it reveal about cancer disparities?

This study is significant because it uncovers how income disparities impact cancer death rates across US counties. By demonstrating the link between income and mortality rates, the research underscores the need for targeted interventions and policy changes aimed at addressing specific challenges in low-income communities, such as food insecurity, low-quality care, smoking, and physical inactivity. This will provide a roadmap for action to bridge the gap.

5

What are the potential implications of the study's findings in terms of interventions and public health strategies?

The implications of these findings are substantial, suggesting that interventions targeting food insecurity, healthcare access, smoking habits, and physical activity could significantly reduce cancer death rates in low-income areas. These interventions could include improving access to healthy foods, enhancing healthcare quality, implementing smoking cessation programs, and promoting physical activity initiatives. Addressing these factors is crucial for achieving equitable cancer outcomes across all socioeconomic groups.

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