100+ datasets found
  1. Rate of skin cancer cases in the U.S. 1999-2021, by gender

    • statista.com
    Updated Sep 4, 2024
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    Statista (2024). Rate of skin cancer cases in the U.S. 1999-2021, by gender [Dataset]. https://www.statista.com/statistics/663943/skin-cancer-incidence-rate-in-us-by-gender/
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2021
    Area covered
    United States
    Description

    The rate of skin cancer in the United States increased for both sexes from 1999 to 2021, with the rate for males consistently higher than that of females. This statistic shows the incidence rate of skin cancer in the U.S. from 1999 to 2021, by gender, per 100,000 population.

  2. Rates of skin cancer in the countries with the most cases worldwide in 2022

    • statista.com
    Updated Sep 19, 2024
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    Statista (2024). Rates of skin cancer in the countries with the most cases worldwide in 2022 [Dataset]. https://www.statista.com/statistics/1032114/countries-with-the-greatest-rates-of-skin-cancer/
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    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, Australia had the fourth-highest total number of skin cancer cases worldwide and the highest age-standardized rate, with roughly 37 cases of skin cancer per 100,000 population. The graph illustrates the rate of skin cancer in the countries with the highest skin cancer rates worldwide in 2022.

  3. Rate of skin cancer cases in the U.S. in 2021, by race/ethnicity

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Rate of skin cancer cases in the U.S. in 2021, by race/ethnicity [Dataset]. https://www.statista.com/statistics/663907/skin-cancer-incidence-rate-in-us-by-ethnicity/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    As of 2021, non-Hispanic white people in the United States had the highest incidence rates of skin cancer among all races and ethnicities. Skin cancer is one of the most commonly occurring cancers in the world. Furthermore, the United States is among the countries with the highest rates of skin cancer worldwide. Skin cancer in the U.S. There are a few different types of skin cancer and some are more deadly than others. Basal and squamous skin cancers are more common and less dangerous than melanomas. Among U.S. residents, skin cancer has been demonstrated to be more prevalent among men than women. Skin cancer is also more prevalent among older adults. With treatment and early detection, skin cancers have a high survival rate. Fortunately, in recent years the U.S. has seen a reduction in the rate of death from melanoma. Skin cancer prevention Avoiding and protecting exposed skin from the sun (and other sources of UV light) is the primary means of preventing skin cancer. However, a survey of U.S. adults from 2024 found that around ******* never used sunscreen.

  4. Rate of skin cancer cases in U.S. in 2021, by state

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Rate of skin cancer cases in U.S. in 2021, by state [Dataset]. https://www.statista.com/statistics/663616/skin-cancer-incidence-rate-in-us-by-state/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, Utah had the highest rate of skin cancer, with an estimated ** people out of 100,000 diagnosed with melanoma or another non-epithelial skin cancer. This statistic shows the incidence rate of skin cancer in the U.S. in 2021, by state, per 100,000 population.

  5. d

    [MI] Detailed Cancer Statistics from Get Data Out

    • digital.nhs.uk
    Updated Jun 1, 2023
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    (2023). [MI] Detailed Cancer Statistics from Get Data Out [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-detailed-cancer-statistics-from-get-data-out
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    Dataset updated
    Jun 1, 2023
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2013 - Dec 31, 2019
    Description

    The Get Data Out programme from the National Disease Registration Service publishes detailed statistics about small groups of cancer patients in a way that ensures patient anonymity is maintained. The Get Data Out programme currently covers 15 cancer sites. This data release is a corrected re-release of detailed statistics for 2013-2019 treatment data. The correction means that surgery counts are no longer slightly underreported. There are some small changes in group sizes of usually no more than 2%, although this is larger for non-melanoma skin cancers. The 15 cancer sites now covered by Get Data Out are: ‘Bladder, Urethra, Renal Pelvis and Ureter’, ‘Bone cancer’, ‘Brain, meningeal and other primary CNS tumours’, ‘Eye cancer’, ‘Head and neck’, ‘Kaposi sarcoma’, ‘Kidney’, ‘Oesophageal and Stomach’, ‘Ovary, fallopian tube and primary peritoneal carcinomas’, ‘Pancreas’, ‘Prostate’, ‘Sarcoma’, ‘Skin tumours’, ‘Soft tissue and peripheral nerve cancer’, ‘Testicular tumours including post-pubertal teratomas’. Anonymisation standards are designed into the data by aggregation at the outset. Patients diagnosed with a certain type of tumour are divided into many smaller groups, each of which contains approximately 100 patients with the same characteristics. These groups are aimed to be clinically meaningful and differ across cancer sites. For each group of patients, Get Data Out routinely publish statistics about incidence, routes to diagnosis, treatments and survival. All releases and documentation are available on the Get Data Out main technical page. Before using the data, we recommend that you read the guide for first time users. The data is available in an open format for anyone to access and use. We hope that by releasing anonymous detailed data like this we can help researchers, the public and patients themselves discover more about cancer. If you have feedback or any other queries about Get Data Out, please email us at NDRSenquires@nhs.net and mention 'Get Data Out' in your email.

  6. d

    Cancer Registration Statistics, England 2019

    • digital.nhs.uk
    Updated Oct 21, 2021
    + more versions
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    (2021). Cancer Registration Statistics, England 2019 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/cancer-registration-statistics
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    Dataset updated
    Oct 21, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Description

    This release summarises the diagnoses in 2019 registered by NDRS covering all registerable neoplasms (all cancers, all in situ tumours, some benign tumours and all tumours that have uncertain or unknown behaviours)

  7. Number of skin cancer cases in the U.S. in 2021, by age

    • statista.com
    Updated Sep 4, 2024
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    Statista (2024). Number of skin cancer cases in the U.S. in 2021, by age [Dataset]. https://www.statista.com/statistics/663959/skin-cancer-number-in-us-by-age/
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, around 13,883 people aged 70 to 74 years were diagnosed with melanoma of the skin or another non-epithelial skin cancer, the highest number of any age group. This statistic shows the number of new skin cancer cases in the U.S. in 2021, by age.

  8. Table S2 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer...

    • figshare.com
    xlsx
    Updated Jun 16, 2023
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    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan (2023). Table S2 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology [Dataset]. http://doi.org/10.1158/0008-5472.22424796.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Genes identified by CNx to underpin stromal barrier

  9. U.S. number of melanoma of the skin cancer cases 2025, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). U.S. number of melanoma of the skin cancer cases 2025, by state [Dataset]. https://www.statista.com/statistics/663211/number-of-new-skin-cancer-cases-melanoma-in-the-us-by-state/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    United States
    Description

    It was predicted that in 2025 there would be a total of ******* new melanoma skin cancer cases in the United States, of which ****** would occur in California. This statistic shows the estimated number of new cases of melanoma of the skin in the U.S. in 2025, by state.

  10. O

    ARCHIVED - Non-Melanoma Skin Cancer

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated May 22, 2019
    + more versions
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    County of San Diego (2019). ARCHIVED - Non-Melanoma Skin Cancer [Dataset]. https://data.sandiegocounty.gov/Health/ARCHIVED-Non-Melanoma-Skin-Cancer/jpvq-hfbi
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    xml, application/rssxml, csv, application/rdfxml, json, tsvAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx

    Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

    **Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

    ***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

    Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

    Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

    Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

  11. Table S5 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer...

    • aacr.figshare.com
    xlsx
    Updated May 31, 2023
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    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan (2023). Table S5 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology [Dataset]. http://doi.org/10.1158/0008-5472.22424784.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Pathways enriched for genes downregulated in tumours with high stromal clustering

  12. Table S1 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer...

    • aacr.figshare.com
    xlsx
    Updated Jun 21, 2023
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    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan (2023). Table S1 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology [Dataset]. http://doi.org/10.1158/0008-5472.22424799.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Description of the patients, biopsy sites and dates for the sequential sample cohort.

  13. Skin cancer cases in England 2022, by age and gender

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Skin cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312765/skin-cancer-cases-england-age/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    England
    Description

    This statistic shows the amount of registrations of newly diagnosed cases of skin cancer in England in 2022, by age group and gender. Almost 1.5 thousand new cases were recorded among men aged 75 to 79 years of age. It should be noted that the number of people in England in each age group varies and is therefore not necessarily a reflection of susceptibility to skin cancer.

  14. i

    Grant Giving Statistics for Arizona Skin Cancer Foundation

    • instrumentl.com
    Updated Apr 17, 2024
    + more versions
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    (2024). Grant Giving Statistics for Arizona Skin Cancer Foundation [Dataset]. https://www.instrumentl.com/990-report/arizona-skin-cancer-foundation-c05686ab-bf68-42eb-8927-99c22db5c601
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    Dataset updated
    Apr 17, 2024
    Area covered
    Arizona
    Description

    Financial overview and grant giving statistics of Arizona Skin Cancer Foundation

  15. i

    Grant Giving Statistics for Skin Cancer Foundation

    • instrumentl.com
    Updated Dec 24, 2020
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    (2020). Grant Giving Statistics for Skin Cancer Foundation [Dataset]. https://www.instrumentl.com/990-report/skin-cancer-foundation-inc
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    Dataset updated
    Dec 24, 2020
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Skin Cancer Foundation

  16. Table S6 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer...

    • aacr.figshare.com
    xlsx
    Updated Jun 21, 2023
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    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan (2023). Table S6 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology [Dataset]. http://doi.org/10.1158/0008-5472.22424778.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Pathways enriched for genes upregulated in tumours with high stromal barrier

  17. Table S3 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer...

    • aacr.figshare.com
    xlsx
    Updated Jun 21, 2023
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    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan (2023). Table S3 from Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology [Dataset]. http://doi.org/10.1158/0008-5472.22424790.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E. de Andrea; Erik Sahai; Yinyin Yuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Genes identified by CNx to underpin stromal clustering

  18. Incidence of skin cancer in EU countries compared to whole EU 2022

    • ai-chatbox.pro
    • statista.com
    Updated Feb 15, 2024
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    Juliette Gagliardi (2024). Incidence of skin cancer in EU countries compared to whole EU 2022 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F11955%2Fstate-of-health-in-europe%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Juliette Gagliardi
    Area covered
    European Union
    Description

    In Denmark in 2022, the incidence of melanoma skin cancer was over 120 percent higher than in the European Union as a whole. The rates of skin cancer in the Netherlands and Sweden were also significantly above the EU average. Tis statistic displays the incidence of melanoma skin cancer in European Union countries compared to the EU-27 overall average in 2022.

  19. m

    Supplementary Materials: Skin cancer prevalence and risk among foreign-born...

    • data.mendeley.com
    Updated Aug 31, 2022
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    Ameya Gangal (2022). Supplementary Materials: Skin cancer prevalence and risk among foreign-born people living in the US [Dataset]. http://doi.org/10.17632/zfjzsmn262.1
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    Dataset updated
    Aug 31, 2022
    Authors
    Ameya Gangal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplementary Materials: Demographic Characteristics (Table 1) and Skin Cancer Prevalence and Risk Factors with Differing Markers of Acculturation (Table 2)

  20. Emergency presentations of cancer: data up to September 2020

    • gov.uk
    Updated Mar 18, 2021
    + more versions
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    Public Health England (2021). Emergency presentations of cancer: data up to September 2020 [Dataset]. https://www.gov.uk/government/statistics/emergency-presentations-of-cancer-data-up-to-september-2020
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    Dataset updated
    Mar 18, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Description

    The quarterly emergency presentations of cancer data has been updated by Public Health England’s National Cancer Registration and Analysis Service (NCRAS).

    Data estimates are for all malignant cancers (excluding non-melanoma skin cancer) and are at Clinical Commissioning Group (CCG) level, with England as a whole for comparison.

    This latest publication includes quarterly data for April 2020 to September 2020 (quarter 1 and 2 of financial year 2020 to 2021) and an update of the one year rolling average.

    The proportion of emergency presentations for cancer is an indicator of patient outcomes.

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Statista (2024). Rate of skin cancer cases in the U.S. 1999-2021, by gender [Dataset]. https://www.statista.com/statistics/663943/skin-cancer-incidence-rate-in-us-by-gender/
Organization logo

Rate of skin cancer cases in the U.S. 1999-2021, by gender

Explore at:
Dataset updated
Sep 4, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
1999 - 2021
Area covered
United States
Description

The rate of skin cancer in the United States increased for both sexes from 1999 to 2021, with the rate for males consistently higher than that of females. This statistic shows the incidence rate of skin cancer in the U.S. from 1999 to 2021, by gender, per 100,000 population.

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