Key Takeaways
- In the United States, breast cancer is the most common cancer among women (estimated 297,790 new cases in 2023).
- In the United States, an estimated 43,700 people died from breast cancer in 2023.
- For women in the United States, the lifetime risk of being diagnosed with breast cancer is about 1 in 8 (approximately 12.5%).
- USPSTF recommends biennial screening mammography for women aged 40 to 74 years.
- USPSTF assigns a Grade B recommendation to biennial screening mammography for women aged 50 to 74.
- USPSTF assigns a Grade C recommendation for women aged 40 to 49 to make individual decisions about screening.
- In the USPSTF evidence summary, false-positive mammography results are estimated for about 20% of screened women over 10 years.
- The USPSTF notes that mammography has low specificity early in the screening pathway leading to unnecessary biopsies.
- USPSTF reports that screening mammography reduces breast cancer deaths in women aged 40–74.
- Over 5 years, the average annual attendance for the NHS Breast Screening Programme was about 70% (coverage statistic example from programme reporting).
- In England, the breast screening programme coverage target is 70% for women aged 50–70.
- In the US, the prevalence of mammography use among women aged 50–74 was 66.5% in 2019 (BRFSS).
In the US, mammography screening helps find breast cancer early, improving survival despite high incidence.
Epidemiology & Incidence
Epidemiology & Incidence Interpretation
Screening Recommendations & Coverage
Screening Recommendations & Coverage Interpretation
Test Performance, Benefits & Harms
Test Performance, Benefits & Harms Interpretation
Health System Uptake & Outcomes
Health System Uptake & Outcomes 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.
Thomas Lindqvist. (2026, February 13). Breast Cancer Early Detection Statistics. Gitnux. https://gitnux.org/breast-cancer-early-detection-statistics
Thomas Lindqvist. "Breast Cancer Early Detection Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/breast-cancer-early-detection-statistics.
Thomas Lindqvist. 2026. "Breast Cancer Early Detection Statistics." Gitnux. https://gitnux.org/breast-cancer-early-detection-statistics.
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