94 datasets found
  1. Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER)...

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Jul 16, 2025
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    National Cancer Institute (NCI), National Institutes of Health (NIH) (2025). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use [Dataset]. https://catalog.data.gov/dataset/cancer-incidence-surveillance-epidemiology-and-end-results-seer-registries-limited-use
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    Dataset updated
    Jul 16, 2025
    Dataset provided by
    National Cancer Institutehttp://www.cancer.gov/
    Description

    SEER Limited-Use cancer incidence data with associated population data. Geographic areas available are county and SEER registry. The Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute collects and distributes high quality, comprehensive cancer data from a number of population-based cancer registries. Data include patient demographics, primary tumor site, morphology, stage at diagnosis, first course of treatment, and follow-up for vital status. The SEER Program is the only comprehensive source of population-based information in the United States that includes stage of cancer at the time of diagnosis and survival rates within each stage.

  2. H

    SEER Cancer Statistics Database

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Jul 11, 2011
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    Harvard Dataverse (2011). SEER Cancer Statistics Database [Dataset]. http://doi.org/10.7910/DVN/C9KBBC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 11, 2011
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Users can access data about cancer statistics in the United States including but not limited to searches by type of cancer and race, sex, ethnicity, age at diagnosis, and age at death. Background Surveillance Epidemiology and End Results (SEER) database’s mission is to provide information on cancer statistics to help reduce the burden of disease in the U.S. population. The SEER database is a project to the National Cancer Institute. The SEER database collects information on incidence, prevalence, and survival from specific geographic areas representing 28 percent of the United States population. User functionality Users can access a variety of reso urces. Cancer Stat Fact Sheets allow users to look at summaries of statistics by major cancer type. Cancer Statistic Reviews are available from 1975-2008 in table format. Users are also able to build their own tables and graphs using Fast Stats. The Cancer Query system provides more flexibility and a larger set of cancer statistics than F ast Stats but requires more input from the user. State Cancer Profiles include dynamic maps and graphs enabling the investigation of cancer trends at the county, state, and national levels. SEER research data files and SEER*Stat software are available to download through your Internet connection (SEER*Stat’s client-server mode) or via discs shipped directly to you. A signed data agreement form is required to access the SEER data Data Notes Data is available in different formats depending on which type of data is accessed. Some data is available in table, PDF, and html formats. Detailed information about the data is available under “Data Documentation and Variable Recodes”.

  3. i

    SEER Breast Cancer Data

    • ieee-dataport.org
    • data.niaid.nih.gov
    Updated Jul 29, 2025
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    jing teng (2025). SEER Breast Cancer Data [Dataset]. https://ieee-dataport.org/open-access/seer-breast-cancer-data
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    Dataset updated
    Jul 29, 2025
    Authors
    jing teng
    Description

    examined regional LNs

  4. Breast Cancer

    • kaggle.com
    Updated Aug 8, 2022
    + more versions
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    Reihaneh Namdari (2022). Breast Cancer [Dataset]. https://www.kaggle.com/datasets/reihanenamdari/breast-cancer
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 8, 2022
    Dataset provided by
    Kaggle
    Authors
    Reihaneh Namdari
    License

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

    Description

    This dataset of breast cancer patients was obtained from the 2017 November update of the SEER Program of the NCI, which provides information on population-based cancer statistics. The dataset involved female patients with infiltrating duct and lobular carcinoma breast cancer (SEER primary cites recode NOS histology codes 8522/3) diagnosed in 2006-2010. Patients with unknown tumour size, examined regional LNs, positive regional LNs, and patients whose survival months were less than 1 month were excluded; thus, 4024 patients were ultimately included.

  5. r

    Surveillance Epidemiology and End Results

    • rrid.site
    • dknet.org
    • +2more
    Updated Jan 29, 2022
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    (2022). Surveillance Epidemiology and End Results [Dataset]. http://identifiers.org/RRID:SCR_006902
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    Dataset updated
    Jan 29, 2022
    Description

    SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.

  6. a

    5 year Male Colorectal Cancer Incidence MSSA

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Nov 12, 2021
    + more versions
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    Spatial Sciences Institute (2021). 5 year Male Colorectal Cancer Incidence MSSA [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/5-year-male-colorectal-cancer-incidence-mssa
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    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

  7. Trend analysis of major cancer statistics according to sex and severity...

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Minsu Ock; Woong Jae Choi; Min-Woo Jo (2023). Trend analysis of major cancer statistics according to sex and severity levels in Korea [Dataset]. http://doi.org/10.1371/journal.pone.0203110
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Minsu Ock; Woong Jae Choi; Min-Woo Jo
    License

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

    Description

    Existing epidemiologic reports or studies of cancer statistics in Korea lack sufficient data on cancer severity distributions and observed survival rates. This study analyzed trends in major cancer statistics according to sex and severity levels in Korea from 2006 to 2013. We included eight cancers (hepatocellular carcinoma, and thyroid, colorectal, gastric, lung, prostate, breast, and cervical cancer), using Korea Central Cancer Registry data. Severity level was classified by Surveillance, Epidemiology, and End Results (SEER) stage as follows: localized, regional, distant, or unknown. Numbers of incident cancer cases from 2006 to 2013 were described by sex and SEER stage. We estimated up to 8-year observed survival rates of major cancers by sex and SEER stage, and provided prevalence rates by sex and SEER stage in 2011, 2012, and 2013. Although increases in new cancer cases are slowing and the total number of incident cancer cases in 2013 decreased for the first time since 2006, the number of prevalent cancer cases was 663,530 in 2013, an increase of 13.3% compared to 2011. Among the five cancers affecting both sexes, sex-related differences in 5-year observed survival rates for lung cancer were greatest in the localized stage (men, 31.9%; women, 48.1%), regional stage (men, 20.0%; women, 31.3%), and unknown stage (men, 24.3%; women, 37.5%). The sum of the proportions of localized and regional stages for thyroid and breast cancer was over 90% in 2013, while the sum of the proportions of localized and regional stages for lung cancer was only 56.7% in 2013. Differences in observed survival rates between men and women were prominent in lung cancer for all SEER stages. The reported epidemiologic data from this study can be used to obtain a more valid measure of cancer burden using a summary measure of population health.

  8. Demographics, smoking history and SSc subtype and serology.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Demographics, smoking history and SSc subtype and serology. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte
    License

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

    Description

    NA- not assessed/availablelcSSc- limited cutaneous systemic sclerosisdcSSc- diffuse cutaneous systemic sclerosisSSc/PPM- Systemic sclerosis and polymyositis overlapACA- anticentromere antibodySCL-70- anti-SCL 70 antibodyRNA Pol- anti-RNA polymerase III antibody* SCL-70 not assessedDemographics, smoking history and SSc subtype and serology.

  9. SEER cancer incidence per 100,000 and percent contribution, 2008–2012a.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jessica Burkhamer; David Kriebel; Richard Clapp (2023). SEER cancer incidence per 100,000 and percent contribution, 2008–2012a. [Dataset]. http://doi.org/10.1371/journal.pone.0172986.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jessica Burkhamer; David Kriebel; Richard Clapp
    License

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

    Description

    SEER cancer incidence per 100,000 and percent contribution, 2008–2012a.

  10. The increasing toll of adolescent cancer incidence in the US

    • plos.figshare.com
    tiff
    Updated Jun 2, 2023
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    Jessica Burkhamer; David Kriebel; Richard Clapp (2023). The increasing toll of adolescent cancer incidence in the US [Dataset]. http://doi.org/10.1371/journal.pone.0172986
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jessica Burkhamer; David Kriebel; Richard Clapp
    License

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

    Description

    Cancer incidence is rising among adolescents (“teens”). The causes of the increase are unknown but studying incidence patterns and trends may produce insights into etiology. Using data from the US National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program we described trends of cancer incidence among teens (15–19 year olds). We reviewed and summarized incidence patterns for histologic cancer groups and the most frequently diagnosed sites of cancer among teens during 2008–2012 reported by the SEER Cancer Statistics Review. We calculated annual incidence rates for the years 1975–2012 and used linear regression analysis to evaluate trends and calculate rates of change. Incidence for all sites combined increased annually by 0.67% for males and 0.62% for females during the period 1975 through 2012 –resulting in more than a 25% increase over 38 years. The biggest annual incidence increases occurred in non-Hodgkin lymphoma (NHL) (2.16% females; 1.38% males), thyroid cancer (2.12% females; 1.59% males), acute myeloid leukemia (AML) (1.73% females) and testicular cancer (1.55% males). Incidence rates for most histologic groups and sites showed steady long term increases over the 38 years of data. Despite improvements in survival, rising incidence trends mean growing numbers of young adults are undergoing painful and costly cancer treatments. A concerted research program is vital to investigate causes of steadily rising teen cancer rates.

  11. f

    Selected statistics describing the agreement between the two donor records...

    • datasetcatalog.nlm.nih.gov
    Updated Dec 14, 2021
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    Astell-Burt, Thomas; Stone, Glenn; Page, Andrew; Fahey, Paul P. (2021). Selected statistics describing the agreement between the two donor records across the 100 repetitions of the SEER cancer registry data for each of the six behaviours. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000804443
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    Dataset updated
    Dec 14, 2021
    Authors
    Astell-Burt, Thomas; Stone, Glenn; Page, Andrew; Fahey, Paul P.
    Description

    Selected statistics describing the agreement between the two donor records across the 100 repetitions of the SEER cancer registry data for each of the six behaviours.

  12. State Cancer Profiles Web site

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Jul 17, 2025
    + more versions
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    Department of Health & Human Services (2025). State Cancer Profiles Web site [Dataset]. https://catalog.data.gov/dataset/state-cancer-profiles-web-site
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    The State Cancer Profiles (SCP) web site provides statistics to help guide and prioritize cancer control activities at the state and local levels. SCP is a collaborative effort using local and national level cancer data from the Centers for Disease Control and Prevention's National Program of Cancer Registries (NPCR) and National Cancer Institute's Surveillance, Epidemiology and End Results Registries (SEER). SCP address select types of cancer and select behavioral risk factors for which there are evidence-based control interventions. The site provides incidence, mortality and prevalence comparison tables as well as interactive graphs and maps and support data. The graphs and maps provide visual support for deciding where to focus cancer control efforts.

  13. NCI State Breast Cancer Incidence Rates

    • hub.arcgis.com
    Updated Jan 2, 2020
    + more versions
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    National Cancer Institute (2020). NCI State Breast Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/datasets/NCI::nci-state-breast-cancer-incidence-rates
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    National Cancer Institutehttp://www.cancer.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Cancer Incidence data for Breast Cancer (All Stages^) including: Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2016 to 2020.Data are for females segmented by age (All Ages, Ages Under 50, Ages 50 & Over, Ages Under 65, and Ages 65 & Over), with field names and aliases describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.govData NotationsState Cancer Registries may provide more current or more local data.TrendRising when 95% confidence interval of average annual percent change is above 0.Stable when 95% confidence interval of average annual percent change includes 0.Falling when 95% confidence interval of average annual percent change is below 0.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.‡ Incidence Trend data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.Rates and trends are computed using different standards for malignancy. For more information see malignant.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.Data Source Field Key(1) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(5) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(6) Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).(7) Source: SEER November 2022 submission.(8) Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with SEER November 2022 data.Some data are not available, see Data Not Available for combinations of geography, cancer site, age, and race/ethnicity.Data for the United States does not include data from Nevada.Data for the United States does not include Puerto Rico.

  14. Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER)...

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 25, 2023
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    (2023). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use - i3ww-np2h - Archive Repository [Dataset]. https://healthdata.gov/w/88bx-suh2/_variation_?cur=HMfLpHeu-Gw&from=root
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    This dataset tracks the updates made on the dataset "Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use" as a repository for previous versions of the data and metadata.

  15. Table_1_Racial and regional disparities of triple negative breast cancer...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Wei Zhang; Yuhui Bai; Caixing Sun; Zhangchun Lv; Shihua Wang (2023). Table_1_Racial and regional disparities of triple negative breast cancer incidence rates in the United States: An analysis of 2011–2019 NPCR and SEER incidence data.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.1058722.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Wei Zhang; Yuhui Bai; Caixing Sun; Zhangchun Lv; Shihua Wang
    License

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

    Area covered
    United States
    Description

    ObjectiveTriple negative breast cancer (TNBC) is a more aggressive subtype resistant to conventional treatments with a poorer prognosis. This study was to update the status of TNBC and the temporal changes of its incidence rate in the US.MethodsWomen diagnosed with breast cancer during 2011–2019 were obtained from the National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology and End Results (SEER) Program SEER*Stat Database which covers the entire population of the US. The TNBC incidence and its temporal trends by race, age, region (state) and disease stage were determined during the period.ResultsA total of 238,848 (or 8.8%) TNBC women were diagnosed during the study period. TNBC occurred disproportionally higher in women of Non-Hispanic Black, younger ages, with cancer at a distant stage or poorly/undifferentiated. The age adjusted incidence rate (AAIR) for TNBC in all races decreased from 14.8 per 100,000 in 2011 to 14.0 in 2019 (annual percentage change (APC) = −0.6, P = 0.024). Incidence rates of TNBC significantly decreased with APCs of −0.8 in Non-Hispanic White women, −1.3 in West and −0.7 in Northeastern regions. Women with TNBC at the age of 35–49, 50–59, and 60–69 years, and the disease at the regional stage displayed significantly decreased trends. Among state levels, Mississippi (20.6) and Louisiana (18.9) had the highest, while Utah (9.1) and Montana (9.6) had the lowest AAIRs in 2019. New Hampshire and Indiana had significant and highest decreases, while Louisiana and Arkansas had significant and largest increases in AAIR. In individual races, TNBC displayed disparities in temporal trends among age groups, regions and disease stages. Surprisingly, Non-Hispanic White and Hispanic TNBC women (0–34 years), and Non-Hispanic Black women (≥70 years) during the entire period, as well as Asian or Pacific Islander women in the South region had increased trends between 2011 and 2017.ConclusionOur study demonstrates an overall decreased trend of TNBC incidence in the past decade. Its incidence displayed disparities among races, age groups, regions and disease stages. Special attention is needed for a heavy burden in Non-Hispanic Black and increased trends in certain groups.

  16. d

    United States County Level Cancer Rates

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Wiemken, Timothy (2023). United States County Level Cancer Rates [Dataset]. http://doi.org/10.7910/DVN/DV3EP8
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wiemken, Timothy
    Description

    Flat file of United States County-level cancer incidence rates obtained from: https://www.statecancerprofiles.cancer.gov/incidencerates/ All data housed on that website are extracts from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program with rates computed using SEER*Stat as documented in the About section of the above website.

  17. Late-Stage Female Breast Cancer Incidence Rate (cases per 100,000 females),...

    • healthdata.nj.gov
    • data.wu.ac.at
    csv, xlsx, xml
    Updated May 10, 2019
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    New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey Department of Health (2019). Late-Stage Female Breast Cancer Incidence Rate (cases per 100,000 females), New Jersey, by year: Beginning 2010 [Dataset]. https://healthdata.nj.gov/dataset/Late-Stage-Female-Breast-Cancer-Incidence-Rate-cas/3hep-nd78
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    May 10, 2019
    Dataset provided by
    New Jersey Department of Healthhttps://www.nj.gov/health/
    Authors
    New Jersey State Cancer Registry, Cancer Epidemiology Services, New Jersey Department of Health
    Area covered
    New Jersey
    Description

    Rate: Number of new cases of breast cancer (per 100,000) diagnosed at the regional or distant stage among females.

    Definition: Age-adjusted incidence rate of invasive breast cancer per 100,000 female population.

    Data Sources:

    (1) NJ State Cancer Registry, Dec 31, 2015 Analytic File, using NCI SEER*Stat ver 8.2.1 (www.seer.cancer.gov/seerstat)

    (2) NJ population estimates as calculated by the NCI's SEER Program, released January 2015, http://www.seer.cancer.gov/popdata/download.html.

  18. NCI State Colorectal Cancer Incidence Rates

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 2, 2020
    + more versions
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    National Cancer Institute (2020). NCI State Colorectal Cancer Incidence Rates [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/NCI::nci-state-colorectal-cancer-incidence-rates/geoservice
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    National Cancer Institutehttp://www.cancer.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This dataset contains Cancer Incidence data for Colorectal Cancer (All Stages^) including: Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2016 to 2020.Data are segmented by sex (Both Sexes, Male, and Female) and age (All Ages, Ages Under 50, Ages 50 & Over, Ages Under 65, and Ages 65 & Over), with field names and aliases describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.govData NotationsState Cancer Registries may provide more current or more local data.TrendRising when 95% confidence interval of average annual percent change is above 0.Stable when 95% confidence interval of average annual percent change includes 0.Falling when 95% confidence interval of average annual percent change is below 0.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used for SEER and NPCR incidence rates.‡ Incidence Trend data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.Rates and trends are computed using different standards for malignancy. For more information see malignant.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.Data Source Field Key(1) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(5) Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.(6) Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).(7) Source: SEER November 2022 submission.(8) Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with SEER November 2022 data.Some data are not available, see Data Not Available for combinations of geography, cancer site, age, and race/ethnicity.Data for the United States does not include data from Nevada.Data for the United States does not include Puerto Rico.

  19. CWDataset

    • kaggle.com
    zip
    Updated Apr 19, 2025
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    KeshawaUP (2025). CWDataset [Dataset]. https://www.kaggle.com/datasets/keshawaup/cwdataset
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    zip(53776 bytes)Available download formats
    Dataset updated
    Apr 19, 2025
    Authors
    KeshawaUP
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    E)Your Dataset This dataset of breast cancer patients was obtained from the 2017 November update of the SEER Program of the NCI, which provides information on population-based cancer statistics. The dataset contains the following attributes: Table.1 Data Dictionary Attribute Description Patient ID Unique identification for each patient Month of Birth A patient’s month of birth Age A patient’s month of birth in years Sex A patient’s genomic sex Occupation The field of a patient’s job role T Stage The T stage in breast cancer refers to the size of the tumour from T1, T2, T3 and T4 N Stage Used to indicate if the breast cancer has spread to surrounding lymph nodes (N), with a higher number representing a greater number of lymph nodes impacted, from N1, N2 and N3. 6th Stage Breast Imaging Reporting and Data System or BI-RADS Differentiated How the cancer cells look and are growing compared with normal cells.
    Grade Breast Cancer Grades (Nottingham Grading System) A Stage Breast cancer is staged based on how far it has spread.
    Regional: The cancer has spread to nearby lymph nodes or tissues. Distant: The cancer has spread to distant parts of the body, such as the lungs, liver, or bones Tumour Size Tumor size measured in millimeters Estrogen Status Cancer cells have estrogen hormone receptors or not.
    Progesterone Status Cancer cells have progesterone hormone receptors or not. Regional Node Examined Count of examined regional lymph nodes for cancer spread Regional Node Positive Count of cancer positive regional lymph nodes to contain metastases Survival Months Survival months based on date of last contact. Mortality Status Any patient that dies after the follow-up cut-off date is recoded to alive as of the cut-off date. If date of last contact > study cutoff date, vital status recoded = alive. Note: For general knowledge, further information about the collection of patients’ data can be found at https://ieee-dataport.org/open-access/seer-breast-cancer-data M. A. Aldraimli 5DATA002W.2 2024/2025 The survival calculations can be found at
    https://seer.cancer.gov/survivaltime/ https://seer.cancer.gov/survivaltime/SurvivalTimeCalculation.pdf

  20. Number of cancer cases and prevalence rates of cancers by sex and SEER stage...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Minsu Ock; Woong Jae Choi; Min-Woo Jo (2023). Number of cancer cases and prevalence rates of cancers by sex and SEER stage from 2011 to 2013. [Dataset]. http://doi.org/10.1371/journal.pone.0203110.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Minsu Ock; Woong Jae Choi; Min-Woo Jo
    License

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

    Description

    Number of cancer cases and prevalence rates of cancers by sex and SEER stage from 2011 to 2013.

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National Cancer Institute (NCI), National Institutes of Health (NIH) (2025). Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use [Dataset]. https://catalog.data.gov/dataset/cancer-incidence-surveillance-epidemiology-and-end-results-seer-registries-limited-use
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Cancer Incidence - Surveillance, Epidemiology, and End Results (SEER) Registries Limited-Use

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 16, 2025
Dataset provided by
National Cancer Institutehttp://www.cancer.gov/
Description

SEER Limited-Use cancer incidence data with associated population data. Geographic areas available are county and SEER registry. The Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute collects and distributes high quality, comprehensive cancer data from a number of population-based cancer registries. Data include patient demographics, primary tumor site, morphology, stage at diagnosis, first course of treatment, and follow-up for vital status. The SEER Program is the only comprehensive source of population-based information in the United States that includes stage of cancer at the time of diagnosis and survival rates within each stage.

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