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

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    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. SEER-Medicare Linked Database

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 27, 2023
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    National Cancer Institute-Division of Cancer Control & Population Sciences (2023). SEER-Medicare Linked Database [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/48
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    Dataset updated
    Oct 27, 2023
    Dataset provided by
    National Cancer Institutehttp://www.cancer.gov/
    Authors
    National Cancer Institute-Division of Cancer Control & Population Sciences
    Area covered
    United States
    Description

    This series of files links two large population-based sources providing detailed data about Medicare beneficiaries with cancer. The SEER (Surveillance, Epidemiology, and End Results) program consists of clinical, demographic, and cause of death information collected from tumor registries beginning in January 1, 1973. The Medicare contribution includes all claims for covered health care services from beneficiaries’ time of eligibility until death. Linkage is processed biennially by SEER and Centers for Medicare and Medicaid Services (CMS) staff. 95% of individuals age 65 and older are included in the SEER files. Due to privacy concerns, access to this database requires an application, SEER-Medicare Data Use Agreement (DUA), and documentation of institutional review board approval. Additionally, the National Cancer Institute’s information technology contractor assesses a processing fee the amount of which is dependent upon the type and number of files requested.

  4. i

    SEER Breast Cancer Data

    • ieee-dataport.org
    • data.niaid.nih.gov
    • +1more
    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

  5. n

    Surveillance Epidemiology and End Results

    • neuinfo.org
    • scicrunch.org
    • +1more
    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. f

    DataSheet_1_Triple-negative breast cancer survival prediction:...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 10, 2024
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    Yu Qiu; Yan Chen; Haoyang Shen; Shuixin Yan; Jiadi Li; Weizhu Wu (2024). DataSheet_1_Triple-negative breast cancer survival prediction: population-based research using the SEER database and an external validation cohort.xls [Dataset]. http://doi.org/10.3389/fonc.2024.1388869.s001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Frontiers
    Authors
    Yu Qiu; Yan Chen; Haoyang Shen; Shuixin Yan; Jiadi Li; Weizhu Wu
    License

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

    Description

    IntroductionTriple-negative breast cancer (TNBC) is linked to a poorer outlook, heightened aggressiveness relative to other breast cancer variants, and limited treatment choices. The absence of conventional treatment methods makes TNBC patients susceptible to metastasis. The objective of this research was to assess the clinical and pathological traits of TNBC patients, predict the influence of risk elements on their outlook, and create a prediction model to assist doctors in treating TNBC patients and enhancing their prognosis.MethodsWe included 23,394 individuals with complete baseline clinical data and survival information who were diagnosed with primary TNBC between 2010 and 2015 based on the SEER database. External validation utilised a group from The Affiliated Lihuili Hospital of Ningbo University. Independent risk factors linked to TNBC prognosis were identified through univariate, multivariate, and least absolute shrinkage and selection operator regression methods. These characteristics were chosen as parameters to develop 3- and 5-year overall survival (OS) and breast cancer-specific survival (BCSS) nomogram models. Model accuracy was assessed using calibration curves, consistency indices (C-indices), receiver operating characteristic curves (ROCs), and decision curve analyses (DCAs). Finally, TNBC patients were divided into groups of high, medium, and low risk, employing the nomogram model for conducting a Kaplan-Meier survival analysis.ResultsIn the training cohort, variables such as age at diagnosis, marital status, grade, T stage, N stage, M stage, surgery, radiation, and chemotherapy were linked to OS and BCSS. For the nomogram, the C-indices stood at 0.762, 0.747, and 0.764 in forecasting OS across the training, internal validation, and external validation groups, respectively. Additionally, the C-index values for the training, internal validation, and external validation groups in BCSS prediction stood at 0.793, 0.755, and 0.811, in that order. The findings revealed that the calibration of our nomogram model was successful, and the time-variant ROC curves highlighted its effectiveness in clinical settings. Ultimately, the clinical DCA showcased the prospective clinical advantages of the suggested model. Furthermore, the online version was simple to use, and nomogram classification may enhance the differentiation of TNBC prognosis and distinguish risk groups more accurately.ConclusionThese nomograms are precise tools for assessing risk in patients with TNBC and forecasting survival. They can help doctors identify prognostic markers and create more effective treatment plans for patients with TNBC, providing more accurate assessments of their 3- and 5-year OS and BCSS.

  7. f

    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
    PLOS ONE
    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.

  8. f

    Table_1_A SEER database retrospective cohort of 547 patients with penile...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Oct 31, 2023
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    Lucas W. Ashley; Kent F. Sutton; Andrew Ju; George Edwards; Melisa Pasli; Arjun Bhatt (2023). Table_1_A SEER database retrospective cohort of 547 patients with penile non-squamous cell carcinoma: demographics, clinical characteristics, and outcomes.docx [Dataset]. http://doi.org/10.3389/fonc.2023.1271913.s001
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    docxAvailable download formats
    Dataset updated
    Oct 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Lucas W. Ashley; Kent F. Sutton; Andrew Ju; George Edwards; Melisa Pasli; Arjun Bhatt
    License

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

    Description

    IntroductionLittle research has investigated the prevalence and distribution of the diverse pathologies of non-squamous cell carcinoma (non-SCC) of the penis. Although rare in clinical practice, these cancers have become a focus of greater importance among patients, clinicians, and researchers, particularly in developing countries. The principal objective of this study was to analyze the major types of penile non-SCC, elucidate common treatment pathways, and highlight outcomes including 5-year survival.Materials/methodsThe Surveillance, Epidemiology, and End Results (SEER) database was queried between 2000 and 2018 to identify a retrospective cohort of patients with penile non-SCC. Demographic information, cancer characteristics, diagnostic methods, treatments administered, and survival were investigated.ResultsA total of 547 cases of penile non-SCC were included in the analysis. The most prevalent non-SCC cancers included epithelial neoplasms, not otherwise specified (NOS) (15.4%), unspecified neoplasms (15.2%), basal cell neoplasms (13.9%), blood vessel tumors (13.0%), nevi and melanomas (11.7%), and ductal and lobular neoplasms (9.9%). Over half (56.7%) of patients elected to undergo surgical intervention. Patients rarely received systemic therapy (3.8%) or radiation (4.0%). Five-year survival was 35.5%. Patients who underwent surgery had greater annual survival for 0–10 years compared to those who did not have surgery. Significant differences in survival were found between patients who had regional, localized, and distant metastases (p < 0.05). A significant difference in survival was found for patients married at diagnosis versus those who were unmarried at diagnosis (p < 0.05). Lower survival rates were observed for patients older than 70 years.DiscussionAlthough less prevalent than SCC, penile non-SCC encompasses a diverse set of neoplasms. Patients in this cohort had a high utilization of surgical management leading to superior outcomes compared to those not receiving surgery. Radiation is an uncommonly pursued treatment pathway. Patient demographics and socioeconomic variables such as marital status may be valuable when investigating cancer outcomes. This updated database analysis can help inform diagnosis, management, and clinical outcomes for this rare group of malignancies.

  9. o

    NIH SEER U.S. Population Data - 1969-2019

    • openicpsr.org
    Updated Jul 28, 2021
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    Lars Vilhuber (2021). NIH SEER U.S. Population Data - 1969-2019 [Dataset]. http://doi.org/10.3886/E146341V1
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    Dataset updated
    Jul 28, 2021
    Dataset provided by
    American Economic Association
    Authors
    Lars Vilhuber
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    1969 - 2019
    Area covered
    United States
    Description

    The county population estimates currently used in the SEER*Stat software to calculate cancer incidence and mortality rates are available for download (see Download U.S. Population Data). They represent a modification of the intercensal and Vintage 2019 annual time series of July 1, county population estimates by age, sex, race, and Hispanic origin produced by the U.S. Census Bureau's Population Estimates Program, in collaboration with the National Center for Health Statistics, and with support from the NCI through an interagency agreement. The files were downloaded and archived on July 28, 2021 by the American Economic Association's Data Editor.

  10. NCI State Late Stage Breast Cancer Incidence Rates

    • hub.arcgis.com
    Updated Jan 21, 2020
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    National Cancer Institute (2020). NCI State Late Stage Breast Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/datasets/NCI::nci-state-late-stage-breast-cancer-incidence-rates/geoservice
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    Dataset updated
    Jan 21, 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 (Late Stage^) 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.^ Late Stage is defined as cases determined to be regional or distant. Due to changes in stage coding, Combined Summary Stage (2004+) is used for data from Surveillance, Epidemiology, and End Results (SEER) databases and Merged Summary Stage is used for data from National Program of Cancer Registries databases. Due to the increased complexity with staging, other staging variables maybe used if necessary.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.

  11. a

    NCI State Cancer Incidence Rates

    • hub.arcgis.com
    Updated Aug 20, 2019
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    National Cancer Institute (2019). NCI State Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/datasets/NCI::nci-state-cancer-incidence-rates
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    Dataset updated
    Aug 20, 2019
    Dataset authored and provided by
    National Cancer Institute
    License

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

    Area covered
    Description

    This dataset contains Age-Adjusted Rate, Confidence Interval, Average Annual Count, and Trend field information for US States for the average 5 year span from 2012 to 2016.Data is segmented by sex and age, with fields describing the sex and age group tabulated.For more information, visit statecancerprofiles.cancer.gov Data NotationsState Cancer Registries may provide more current or more local data.† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population seer.cancer.gov/stdpopulations/stdpop.19ages.html. 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. [seer.cancer.gov/seerstat]Population counts for denominators are based on Census populations as modified [seer.cancer.gov/popdata] by NCI. The 1969-2016 US Population Data File [seer.cancer.gov/popdata] is used for SEER and NPCR incidence rates.‡ Incidence 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.html.^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage [seer.cancer.gov/tools/ssm].Healthy People 2020 Objectives [www.healthypeople.gov]provided by the Centers for Disease Control and Prevention [www.cdc.gov]. Michigan Data do not include cases diagnosed in other states for those states in which the data exchange agreement specifically prohibits the release of data to third parties.Trend Data not available for Nevada.Data Source Field Key:(1) Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission and SEER November 2018 submission as published in United States Cancer Statistics nccd.cdc.gov/uscs Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission. State rates include rates from metropolitan areas funded by SEER [seer.cancer.gov/registries].(6) Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission.(7) Source: SEER November 2018 submission.8 Source: Incidence data provided by the SEER Program. [seer.cancer.gov] AAPCs are calculated by the Joinpoint Regression Program [surveillance.cancer.gov/joinpoint] and are based on APCs. Data are age-adjusted to the 2000 US standard population www.seer.cancer.gov/stdpopulations/single_age.html. 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 1969-2017 US Population Data [seer.cancer.gov/popdata] File is used with SEER November 2018 data. Please note that the data comes from different sources. Due to different years [statecancerprofiles.cancer.gov/historicaltrend/differences.html] of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. [seer.cancer.gov/seerstat] Please refer to the source for each graph for additional information. Some data are not available [http://statecancerprofiles.cancer.gov/datanotavailable.html] for combinations of geography, cancer site, age, and race/ethnicity.

  12. H

    SEER Public Use Files, 1973-1986

    • dataverse.harvard.edu
    Updated Jan 28, 2013
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    National Cancer Institute. Cancer Statistics Branch. (2013). SEER Public Use Files, 1973-1986 [Dataset]. http://doi.org/10.7910/DVN/YS84SX
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 28, 2013
    Dataset provided by
    Harvard Dataverse
    Authors
    National Cancer Institute. Cancer Statistics Branch.
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.7910/DVN/YS84SXhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.7910/DVN/YS84SX

    Time period covered
    1973 - 1986
    Description

    This population file has been constructed primarily for use with SEER and total United States cancer incidence and mortality data. Data contain detailed race populations for all the SEER areas identified in the dates of this collection, excluding rural Georgia, Arizona, and New Jersey. Data for the entire United States and Puerto Rico are included. These data are estimates produced from the 1970 and 1980 U.S. Census of Population and Housing, and some inter-censal estimates of white and non-white supplied by the Census Bureau. Using the racial distribution of the 1970 and 1980 censuses at the age and sex-specific level, the data contain an allocation of the non-white 1971-1979 estimates into the details racial groups. Race groups include: White non-Hispanic, White Hispanic, Black, American Indian, Aleuts and Eskimo, Chinese, Japanese, Filipino, Hawaiian, total White, total non-White, and total persons. Variables include: population year, race, SEER registry, state, SMSA, county, tract, month of census, sex, population under 5 years of age, between 5 and 9 years of age and additional ages in increments of 5 years, population 85 years and older, and a total for all ages.

  13. NCI State Prostate Cancer Incidence Rates

    • hub.arcgis.com
    Updated Jan 2, 2020
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    National Cancer Institute (2020). NCI State Prostate Cancer Incidence Rates [Dataset]. https://hub.arcgis.com/maps/NCI::nci-state-prostate-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 Prostate 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 males segmented 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. NCI State Colorectal Cancer Incidence Rates

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Jan 2, 2020
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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.

  15. NCI State Lung Cancer Incidence Rates

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Jan 2, 2020
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    National Cancer Institute (2020). NCI State Lung Cancer Incidence Rates [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/NCI::nci-state-lung-cancer-incidence-rates/about
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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 Lung 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.

  16. 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/about
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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.

  17. f

    Tumor characteristics and prognosis.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Tumor characteristics and prognosis. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    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/availableWT: wild typeTumor characteristics and prognosis.

  18. f

    Results for the AIR calculator and SEER*stat data query bank.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Dec 19, 2024
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    Press, David J.; Richie, Nicole; James, Spencer L.; Jolain, Bruno (2024). Results for the AIR calculator and SEER*stat data query bank. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001437311
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    Dataset updated
    Dec 19, 2024
    Authors
    Press, David J.; Richie, Nicole; James, Spencer L.; Jolain, Bruno
    Description

    Results for the AIR calculator and SEER*stat data query bank.

  19. f

    Comparison of the lung cancer patient population predicted by our model...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Xing Chen; Millennia Foy; Marek Kimmel; Olga Y. Gorlova (2023). Comparison of the lung cancer patient population predicted by our model (1988 to 1999) with data from the SEER database (from 1988 to 1999 and from 2004 to 2008). [Dataset]. http://doi.org/10.1371/journal.pone.0093430.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xing Chen; Millennia Foy; Marek Kimmel; Olga Y. Gorlova
    License

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

    Description

    TNM staging being unavailable in SEER before 2004, we categorized tumors as localized, regional, and distant, for patients between 1988 and 1999.*Smoking status is not reported in SEER.£Excluding missing stage.

  20. f

    Pulmonary function testing and Computed Tomography findings.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jeremy B. Katzen; Kirtee Raparia; Rishi Agrawal; Jyoti D. Patel; Alfred Rademaker; John Varga; Jane E. Dematte (2023). Pulmonary function testing and Computed Tomography findings. [Dataset]. http://doi.org/10.1371/journal.pone.0117829.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    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

    *Total lung capacity, in all other cases FVC and TLC were similarNSIP- non-specific interstitial pneumoniaUIP- usual interstitial pneumoniaFib nos- fibrosis not otherwise specifiedEMPHY- emphysemaNA- not assessed/availablePulmonary function testing and Computed Tomography findings.

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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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