Methodology

Methodology introduction

How the Health Equity Tracker collects, processes and visualizes data, and how we handle limitations, updates and community input.

Measures covered

October 11, 2026

How this topic is measured

We are committed to principles of Transparency & Accountability, Community First, and Open Access, engaging closely with diverse, medically underserved communities to shape the overall health narrative and drive actionable policies. As we continue to expand our data sources and refine our analyses, our goal remains to inform and empower policymakers, while highlighting disparities and continually measuring progress towards health equity.

The Health Equity Tracker is committed to providing accurate, transparent, and up-to-date information on documented health inequities. This section elaborates on how we acquire, standardize, and present our data.

All data in the Health Equity Tracker is sourced from reputable and public databases, including the Centers for Disease Control and Prevention (CDC), U.S Census Bureau, Kaiser Family Foundation, and several others. A comprehensive list of our data sources, along with relevant details, can be found in our data catalog.

Data Collection

  • Methods: Data are retrieved from publicly sourced application programming interfaces (APIs) and manual downloads. These methods ensure that we have the most recent and relevant data.
  • Quality Assurance: Sources are refreshed upon receiving update notifications to ensure data accuracy and timeliness.

Data Processing

  • Cleaning: We process raw data to remove any inconsistencies, duplicates, or irrelevant information.
  • Transformation: Graphic visualizations reflect crude rates (non-age-adjusted) presented in various formats, such as cases per 100k, percent rate, percent share, or as an index score.
  • Integration: Where data are available, we calculate age-adjusted ratios. These ratios help illustrate the disproportionate impact of morbidity and mortality among different races and ethnic groups in the U.S. compared to the white (non-Hispanic) population.

Visualization Techniques

The Health Equity Tracker employs a range of visualization techniques to present data in an intuitive and user-friendly manner. This includes charts, graphs, and interactive visualizations tailored to the specific type of data being presented.

Dataset Limitations

While we strive for accuracy, some datasets may have inherent limitations, including gaps, potential biases, or uncertainties. We transparently communicate these limitations whenever relevant.

Updates and Revisions

Data sources are continuously monitored for updates. The Health Equity Tracker ensures that all visualizations and datasets are refreshed in line with the latest available data.

Stakeholder Engagement

We value the input of various stakeholders, including health professionals, community leaders, and the general public, in shaping the content and presentation of our tracker.

References and Citations

The entire Health Equity Tracker codebase is publicly available and open-source; contributions are welcome via Github. The Health Equity Tracker is a testament to our commitment to promoting health equity and justice. We believe in the power of data to drive positive change, and we invite the community to engage with our open-source platform. For any queries, feedback, or suggestions regarding our data acquisition and presentation, please contact us.

Contact Information

Morehouse School of Medicine
Satcher Health Leadership Institute
720 Westview Drive SW
Atlanta, Georgia 30310

(404) 752-8654
info@healthequitytracker.org

Demographic stratification

Data sources

Details from the Data Catalog, shown here so you do not need to leave the page. Downloads stay on the tracker.

Key terms

Resources

Recommended citation

Satcher Health Leadership Institute. Health Equity Tracker methodology. Morehouse School of Medicine.