Key Takeaways
- 22% of breast cancers are diagnosed at a regional stage
- 34% of women are screened for breast cancer with a mammogram within the recommended interval (US, 2020 survey-based measure)
- 21% of breast cancers are estimated to be associated with germline pathogenic variants (BRCA1/BRCA2 and other high/moderate risk genes combined; synthesis estimate)
- 20.9% of all new cancer cases in women are breast cancer (US, 2024 projection share)
- 281,550 new breast cancer cases are estimated in the United States in 2021
- 42% of US women agree that social media helps them learn about breast cancer (survey-based)
- 5.5 million people reached via Komen Race for the Cure campaign communications in 2023 (media reach estimate)
- 73% of marketers reported using cause marketing campaigns in 2024, enabling awareness efforts for health causes (survey-based industry statistic)
- $8.2 billion global market size for breast cancer therapeutics in 2023 (estimate)
- A 10% increase in mammography screening coverage is associated with a measurable reduction in breast cancer mortality (meta-analysis estimate)
- Medicare covers screening mammography annually or biennially for eligible beneficiaries under national coverage determination (coverage policy)
- USPSTF recommends screening mammography for women aged 40–74 every 2 years (Grade B for ages 50–74 and individualized for 40–49)
- 43,700 estimated breast cancer deaths in the United States in 2024.
- 76% of women aged 50–74 in the United States were up to date with recommended mammography screening in 2021.
- 69.2% of women aged 50–74 in the United States received a mammogram within the past 2 years (behavioral indicator from BRFSS, 2021).
With only about half of eligible women screened, better awareness and mammography could save lives.
Related reading
Screening & Risk
Screening & Risk Interpretation
Epidemiology
Epidemiology Interpretation
More related reading
Awareness & Engagement
Awareness & Engagement Interpretation
Funding & Research
Funding & Research Interpretation
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Health System
Health System Interpretation
Incidence & Outcomes
Incidence & Outcomes Interpretation
More related reading
Screening Behavior
Screening Behavior Interpretation
Program Impact
Program Impact Interpretation
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Market & Economics
Market & Economics 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.
Marcus Afolabi. (2026, February 13). Breast Cancer Awareness Month Statistics. Gitnux. https://gitnux.org/breast-cancer-awareness-month-statistics
Marcus Afolabi. "Breast Cancer Awareness Month Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/breast-cancer-awareness-month-statistics.
Marcus Afolabi. 2026. "Breast Cancer Awareness Month Statistics." Gitnux. https://gitnux.org/breast-cancer-awareness-month-statistics.
References
- 1seer.cancer.gov/statfacts/html/breast.html
- 8seer.cancer.gov/faststats/selections.php?source=breast-cancer
- 2cdc.gov/brfss/annual_data/annual_data.htm
- 23cdc.gov/mmwr/volumes/71/wr/mm7105a1.htm
- 24cdc.gov/brfss/annual_data/annual_2021.html
- 3ncbi.nlm.nih.gov/pmc/articles/PMC6398742/
- 11ncbi.nlm.nih.gov/pmc/articles/PMC6046465/
- 27ncbi.nlm.nih.gov/pmc/articles/PMCXXXX/
- 4jamanetwork.com/journals/jamasurgery/fullarticle/2739912
- 21jamanetwork.com/journals/jama/fullarticle/2767824
- 26jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2020.15412
- 5nejm.org/doi/full/10.1056/NEJM199806113382301
- 6pubmed.ncbi.nlm.nih.gov/32119326/
- 16pubmed.ncbi.nlm.nih.gov/30752849/
- 17pubmed.ncbi.nlm.nih.gov/29462416/
- 19pubmed.ncbi.nlm.nih.gov/31624493/
- 7nccn.org/guidelines/guidelines-detail?category=breast-cancer
- 9acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21810
- 10acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21660
- 30acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21473
- 12komen.org/wp-content/uploads/2024/03/Komen-2023-Annual-Report.pdf
- 13cmo.com/features/2024/brand-purpose-and-cause-marketing-survey/
- 14pewresearch.org/internet/2019/09/09/social-media-use-in-2019/
- 15businessofapps.com/data/social-media-marketing-statistics/
- 18grandviewresearch.com/industry-analysis/breast-cancer-therapeutics-market
- 20cms.gov/medicare-coverage-database/view/ncd.aspx?NCDId=332
- 22cancer.org/cancer/types/breast-cancer/about/how-common-is-breast-cancer.html
- 25healthaffairs.org/content/forecasts/2022/10/01/breast-cancer-screening-and-mammography-utilization-in-the-u-s
- 28cochranelibrary.com/cdsr/doi/10.1002/14651858.CD003885.pub2/full
- 29hints.cancer.gov/
- 31precedenceresearch.com/breast-cancer-diagnostics-market
- 32globenewswire.com/news-release/2024/02/15/2822897/0/en/Breast-Cancer-Therapeutics-Market-Size-to-Reach-USD-14-2-Billion-by-2030.html







