Key Takeaways
- 1 in 8 women in the United States will develop breast cancer over the course of her lifetime
- 1 in 656 men in the United States will develop breast cancer over the course of their lifetime
- 51% of women with breast cancer are diagnosed at age 65 years or older
- 28.6% of breast cancer cases are diagnosed in women aged 65 and older
- 30.3% of breast cancer cases are diagnosed in women aged 50–64
- 10.0% of breast cancer cases are diagnosed in women aged 40–49
- 66% of breast cancer cases are estrogen receptor-positive
- 13% of breast cancers are HER2-positive (overexpressed or amplified)
- 72% of breast cancers are diagnosed as localized, regional, or distant with hormone receptor status affecting patterns by age
- About 14% of breast cancer cases are diagnosed at age 50 or younger
- The U.S. Preventive Services Task Force recommends screening mammography every 2 years for women aged 50 to 74 (B recommendation, with grade dependent on interval)
- Women aged 40 to 49 are recommended to make an individual decision about screening mammography (C recommendation)
- The lifetime risk of breast cancer is 12.0% for women
- The lifetime risk of dying from breast cancer is 2.8% for women
- From 2010 to 2020, the number of breast cancer survivors in the United States increased from 2.9 million to 3.8 million
Breast cancer risk and diagnoses rise with age, with most cases found after 50.
Epidemiology
Epidemiology Interpretation
Age Distribution
Age Distribution Interpretation
Biology & Risk
Biology & Risk Interpretation
Screening & Outcomes
Screening & Outcomes Interpretation
Costs & Care Use
Costs & Care Use 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.
Stefan Wendt. (2026, February 13). Breast Cancer Age Statistics. Gitnux. https://gitnux.org/breast-cancer-age-statistics
Stefan Wendt. "Breast Cancer Age Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/breast-cancer-age-statistics.
Stefan Wendt. 2026. "Breast Cancer Age Statistics." Gitnux. https://gitnux.org/breast-cancer-age-statistics.
References
- 1cancer.org/cancer/types/breast-cancer/about/how-common-is-breast-cancer.html
- 2seer.cancer.gov/statfacts/html/breast.html
- 4seer.cancer.gov/faststats/selections.php?html=breast.html
- 5seer.cancer.gov/csr/1975_2013/browse_csr.php?section=6&page=sect_6_table.04.html
- 3cancer.gov/types/breast/patient/breast-screening-pdq
- 6uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening
- 7acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21447
- 8ncbi.nlm.nih.gov/books/NBK1247/
- 17ncbi.nlm.nih.gov/pmc/articles/PMC6805482/
- 18ncbi.nlm.nih.gov/pmc/articles/PMC5896576/
- 9pubmed.ncbi.nlm.nih.gov/21385644/
- 12pubmed.ncbi.nlm.nih.gov/25269973/
- 14pubmed.ncbi.nlm.nih.gov/23418919/
- 15pubmed.ncbi.nlm.nih.gov/24241389/
- 10academic.oup.com/jnci/article/98/19/1378/2529670
- 11thelancet.com/journals/lanonc/article/2016/abstract
- 13jamanetwork.com/journals/jama/article-abstract/2751912
- 16cdc.gov/brfss/annual_data/annual_2022.html
- 19nber.org/papers/w21413







