Key Takeaways
- Melanoma incidence increased in many high-income countries; in the US, age-adjusted incidence increased from 2014 to 2018 with a positive annual trend (SEER stat trend)
- In a global analysis, 2019 melanoma incidence was highest in regions with very high UV exposure (ranking by SDI/GBD results)
- In 2023, there were about 20.0 million cancer deaths worldwide (GLOBOCAN estimate, global context)
- 2.5% of all malignant tumors in the US are melanoma (proportion of malignant neoplasms), reflecting its share among cancers
- 2.5% of adults reported using tanning beds in the past year (US survey estimate), a known melanoma risk factor
- A history of at least one blistering sunburn more than doubles melanoma risk (meta-analytic effect estimate)
- Diverse risk factors explain skin cancer risk; in a US study, having multiple nevi increased melanoma odds by a factor reported as elevated in logistic regression results (odds ratio quantified for nevus count categories)
- Dermoscopy improves diagnostic accuracy; a pooled meta-analysis reports an overall diagnostic odds ratio (DOR) around 28 for melanocytic lesions
- Optical imaging (reflectance confocal microscopy) shows sensitivities in the mid-80% range for diagnosing melanoma in meta-analyses
- Whole-body photography plus dermoscopy in high-risk cohorts improved early detection; the incidence of detected melanomas was reported as 1–2% per year in surveillance programs
- For metastatic melanoma, pembrolizumab produced an overall response rate of 33% in early KEYNOTE-001 cohorts (measured ORR)
- Nivolumab achieved an objective response rate of 32% in advanced melanoma in pivotal studies (measured ORR)
- Nivolumab plus ipilimumab improved 5-year overall survival to about 52% in advanced melanoma (measured OS at 5 years)
- In the US, average sales prices (ASP) data for oncology drugs are published by CMS; PD-1 inhibitors typically have monthly ASP values in the thousands of dollars (tracked in CMS Part B ASP files)
- Melanoma molecular tests (GEP) cost can range from roughly $3,000–$5,000 per test (listed reimbursement/coverage evidence in payer policy documents)
Melanoma rates are rising, but better prevention, earlier detection, and immunotherapy are improving outcomes.
Related reading
Industry Trends
Industry Trends Interpretation
More related reading
Epidemiology
Epidemiology Interpretation
Risk & Prevention
Risk & Prevention Interpretation
More related reading
Screening & Diagnosis
Screening & Diagnosis Interpretation
Treatment & Outcomes
Treatment & Outcomes Interpretation
More related reading
Cost & Access
Cost & Access 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.
Samuel Norberg. (2026, February 13). Melanoma Statistics. Gitnux. https://gitnux.org/melanoma-statistics
Samuel Norberg. "Melanoma Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/melanoma-statistics.
Samuel Norberg. 2026. "Melanoma Statistics." Gitnux. https://gitnux.org/melanoma-statistics.
References
- 1seer.cancer.gov/statfacts/html/melan.html
- 7seer.cancer.gov/explorer/application.html?site=18&data_type=1&graph_type=6
- 2ghdx.healthdata.org/gbd-results-tool?params=gbd-api-2019
- 3gco.iarc.fr/today/fact-sheets-cancers
- 4ncbi.nlm.nih.gov/pmc/articles/PMC8482942/
- 14ncbi.nlm.nih.gov/pmc/articles/PMC3508791/
- 17ncbi.nlm.nih.gov/pmc/articles/PMC3778445/
- 19ncbi.nlm.nih.gov/pmc/articles/PMC3375902/
- 21ncbi.nlm.nih.gov/pmc/articles/PMC7021674/
- 32ncbi.nlm.nih.gov/pmc/articles/PMC7140071/
- 38ncbi.nlm.nih.gov/pmc/articles/PMC8055914/
- 39ncbi.nlm.nih.gov/pmc/articles/PMC6995688/
- 5clinicaltrials.gov/search?cond=Melanoma
- 6statista.com/statistics/270854/largest-pharmaceutical-companies-by-sales/
- 8cdc.gov/mmwr/volumes/72/wr/mm7213a1.htm
- 9academic.oup.com/aje/article/172/11/1240/102804
- 10nejm.org/doi/full/10.1056/NEJMoa1307846
- 22nejm.org/doi/full/10.1056/NEJMoa1504522
- 23nejm.org/doi/full/10.1056/NEJMoa1410408
- 24nejm.org/doi/full/10.1056/NEJMoa1910836
- 25nejm.org/doi/full/10.1056/NEJMoa1602259
- 26nejm.org/doi/full/10.1056/NEJMoa1613602
- 27nejm.org/doi/full/10.1056/NEJMoa1211055
- 28nejm.org/doi/full/10.1056/NEJMoa1410549
- 29nejm.org/doi/full/10.1056/NEJMoa1613662
- 30nejm.org/doi/full/10.1056/NEJMoa1904039
- 31nejm.org/doi/full/10.1056/NEJMoa1802653
- 33nejm.org/doi/full/10.1056/NEJMoa1502598
- 34nejm.org/doi/full/10.1056/NEJMoa2025351
- 11nature.com/articles/nrg.2017.8
- 12who.int/news-room/fact-sheets/detail/cancer
- 13thelancet.com/journals/lanonc/article/PIIS1470-2045(09)70165-0/fulltext
- 15pubmed.ncbi.nlm.nih.gov/23406752/
- 16pubmed.ncbi.nlm.nih.gov/28527455/
- 18jamanetwork.com/journals/jamadermatology/fullarticle/279
- 20nccn.org/professionals/physician_gls/default.aspx
- 35data.cms.gov/provider-summary/medicare-part-b
- 36cms.gov/medicare-coverage-database/view/ncd.aspx?NCDId=371
- 37acsjournals.onlinelibrary.wiley.com/doi/10.1002/cncr.31846







