Key Takeaways
- Mammography screening reduces breast cancer mortality by 20-40% in women 40-74
- In U.S., 61.3% of women 50-74 had mammogram in past 2 years (2019)
- Digital breast tomosynthesis (3D mammogram) reduces recall rate by 15%
- In 2023, an estimated 297,790 new cases of invasive breast cancer will be diagnosed in women in the U.S.
- Breast cancer accounts for about 30% of all new cancer cases in women in the U.S.
- Globally, breast cancer was the most commonly diagnosed cancer in 2020 with 2.3 million new cases
- U.S. breast cancer death rate 19.2 per 100,000 women per year (2016–2020)
- From 2012–2021, breast cancer mortality declined 1.1% annually in U.S.
- Globally, 670,000 breast cancer deaths in 2022
- Women with a first-degree relative with breast cancer have 2-fold increased risk
- BRCA1 mutation carriers have 55-72% lifetime risk of breast cancer
- Postmenopausal hormone therapy (estrogen + progestin) increases risk by 24% after 5 years use
- 5-year survival for localized breast cancer is 99.3%
- Lumpectomy + radiation survival equals mastectomy at 95% 10-year
- Neoadjuvant chemotherapy downsizes 70% of tumors to allow breast conservation
Screening mammography can cut breast cancer deaths by up to 40%, especially in women aged 40 to 74.
Related reading
Diagnosis and Detection
Diagnosis and Detection Interpretation
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Incidence and Prevalence
Incidence and Prevalence Interpretation
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Mortality and Prevention
Mortality and Prevention Interpretation
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Risk Factors and Causes
Risk Factors and Causes Interpretation
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Treatment and Survival
Treatment and Survival 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.
Julian Richter. (2026, February 13). Breast Cancer Statistics. Gitnux. https://gitnux.org/breast-cancer-statistics
Julian Richter. "Breast Cancer Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/breast-cancer-statistics.
Julian Richter. 2026. "Breast Cancer Statistics." Gitnux. https://gitnux.org/breast-cancer-statistics.
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