Key Takeaways
- 2.2% of White participants received opioid prescriptions after an acute pain visit, compared with 3.6% of Black participants (difference in post-visit opioid prescribing, 2019 study).
- Black patients were 1.5 times as likely as White patients to receive a diagnosis of hypertension after adjusting for covariates in a large health system study (2018–2020).
- American Indians/Alaska Natives had a 1.9 times higher COVID-19 death rate than White people in the CDC analysis (through Dec 2021).
- American Indian/Alaska Native maternal mortality was 1.7 times higher than White maternal mortality in the CDC analysis (2018–2021).
- In a review of U.S. pregnancy-related mortality, Black women were disproportionately represented across ICD-coded causes; the review reported a 2.8x overall disparity between Black and White women (systematic review, 2019).
- In 2021, maternal mortality rates among Black women were 2.6 times higher than among White women in CDC Vital Statistics provisional estimates.
- The National Academies reported that health disparities cost the U.S. economy $1 trillion per year (attributed to lost productivity and health care costs; report published 2003, often cited).
- A study in JAMA (2019) estimated that racial disparities in cardiovascular care lead to roughly $42 billion in preventable costs annually in the U.S. (model-based estimate).
Racial disparities in prescriptions, diagnoses, procedures, and maternal outcomes persist, driving major preventable costs.
Clinical Disparities
Clinical Disparities Interpretation
Maternal Health Outcomes
Maternal Health Outcomes Interpretation
System Costs
System Costs Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 13). Medical Racism Statistics. Gitnux. https://gitnux.org/medical-racism-statistics
Emilia Santos. "Medical Racism Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/medical-racism-statistics.
Emilia Santos. 2026. "Medical Racism Statistics." Gitnux. https://gitnux.org/medical-racism-statistics.
References
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- 3cdc.gov/covid-data-tracker/
- 11cdc.gov/nchs/data/databriefs/db427.pdf
- 13cdc.gov/nchs/maternal-mortality/index.htm
- 19cdc.gov/nchs/data/databriefs/db485.pdf
- 4ncbi.nlm.nih.gov/pmc/articles/PMC7837613/
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