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TwitterThe United States Cancer Statistics (USCS) online databases in WONDER provide cancer incidence and mortality data for the United States for the years since 1999, by year, state and metropolitan areas (MSA), age group, race, ethnicity, sex, childhood cancer classifications and cancer site. Report case counts, deaths, crude and age-adjusted incidence and death rates, and 95% confidence intervals for rates. The USCS data are the official federal statistics on cancer incidence from registries having high-quality data and cancer mortality statistics for 50 states and the District of Columbia. USCS are produced by the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), in collaboration with the North American Association of Central Cancer Registries (NAACCR). Mortality data are provided by the Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), National Vital Statistics System (NVSS).
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In the following maps, the U.S. states are divided into groups based on the rates at which people developed or died from cancer in 2013, the most recent year for which incidence data are available.
The rates are the numbers out of 100,000 people who developed or died from cancer each year.
Incidence Rates by State The number of people who get cancer is called cancer incidence. In the United States, the rate of getting cancer varies from state to state.
*Rates are per 100,000 and are age-adjusted to the 2000 U.S. standard population.
‡Rates are not shown if the state did not meet USCS publication criteria or if the state did not submit data to CDC.
†Source: U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2013 Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute; 2016. Available at: http://www.cdc.gov/uscs.
Death Rates by State Rates of dying from cancer also vary from state to state.
*Rates are per 100,000 and are age-adjusted to the 2000 U.S. standard population.
†Source: U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999–2013 Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute; 2016. Available at: http://www.cdc.gov/uscs.
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TwitterThe data presents cancer incidence rates and number of new cases of cancer by type per year in state and county level geographies. The data is available by race/ethnicity and cancer type. This data is collected by the CDC from public health surveillance systems by using either their published reports or public use files. Many state departments of health publish state-specific cancer data. This data may be more recent or may provide more detail than the data published nationally. For all data years, rates and counts are suppressed if fewer than 16 cases were reported in a specific category, such as cancer type, race and/or ethnicity, age, and state. This suppression is to ensure confidentiality and reliability of rate estimates. For 2017-2021 data, Indiana did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas because state legislation and regulations prohibit the release of county-level data to outside entities. For 2016-2020 data, Indiana and Nevada did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas and Minnesota because state legislation and regulations prohibit the release of county-level data to outside entities. County data from Virginia are suppressed due to incomplete data. Due to a coding issue reported by North Dakota and Wisconsin, state- and county-specific counts and rates by race and ethnicity are not presented for North Dakota. For Wisconsin, state- and county-specific counts and rates are not presented for Hispanic persons. These data for all races and ethnicities are included in national rates. For 2015-2019 data, Nevada did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas and Minnesota because of state legislation and regulations which prohibit the release of county-level data to outside entities. In addition, Kansas opted not to present state- and county-specific Asian and Pacific Islander counts and rates for these years. The national rates presented include data for Kansas. Please visit U.S. Cancer Statistics data website for detailed technical documentation.
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"description": "### 🎀 Context Breast cancer is the most commonly diagnosed cancer among women worldwide. In 2022, approximately 2.3 million women were diagnosed and 670,000 died from the disease. October is Breast Cancer Awareness Month — this dataset supports the WHO Global Breast Cancer Initiative (GBCI) theme: Every Story is Unique, Every Journey Matters.
The GBCI sets ambitious 60-60-80 targets: 60% diagnosed at Stage I/II, diagnosis within 60 days, and 80% completing recommended treatment.
3 CSV files included:
breast_cancer_by_country.csv (50 countries)
breast_cancer_risk_factors.csv (12 risk factors)
breast_cancer_survival_by_stage.csv (5 stages × 4 income regions)
Country-level data compiled from IARC GLOBOCAN 2022, WHO GBCI reports, and national cancer registries. Risk factors from meta-analyses and WHO/CDC guidelines. Survival rates from SEER, Cancer Research UK, and WHO comparative studies across income groups.
CC0 1.0 — Public Domain. Data compiled from publicly available official sources.
Author: Khurram Shahzad Mentor: Dr. Aammar Tufail",
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TwitterWONDER online databases include county-level Compressed Mortality (death certificates) since 1979; county-level Multiple Cause of Death (death certificates) since 1999; county-level Natality (birth certificates) since 1995; county-level Linked Birth / Death records (linked birth-death certificates) since 1995; state & large metro-level United States Cancer Statistics mortality (death certificates) since 1999; state & large metro-level United States Cancer Statistics incidence (cancer registry cases) since 1999; state and metro-level Online Tuberculosis Information System (TB case reports) since 1993; state-level Sexually Transmitted Disease Morbidity (case reports) since 1984; state-level Vaccine Adverse Event Reporting system (adverse reaction case reports) since 1990; county-level population estimates since 1970. The WONDER web server also hosts the Data2010 system with state-level data for compliance with Healthy People 2010 goals since 1998; the National Notifiable Disease Surveillance System weekly provisional case reports since 1996; the 122 Cities Mortality Reporting System weekly death reports since 1996; the Prevention Guidelines database (book in electronic format) published 1998; the Scientific Data Archives (public use data sets and documentation); and links to other online data sources on the "Topics" page.
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TwitterThis dataset contains model-based Census tract level estimates for the PLACES project by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. It represents a first-of-its kind effort to release information uniformly on this large scale. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. This data only covers the health of adults (people 18 and over) in East Baton Rouge Parish. All estimates lie within a 95% confidence interval.
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IntroductionDespite advancements in cervical cancer screening and HPV vaccines, demographic disparities perpetuate the burden of cervical cancer. The aim of this study is to utilize the most up-to-date CDC WONDER data of cervical cancer mortality to provide a comprehensive temporal analysis of demographic variables and account for patients missed in other database studies. In doing so, temporal trends found in this study may be used to guide future efforts and studies to understand nuanced barriers to cervical cancer screening and prevention.MethodsWith CDC WONDER Data, cervical cancer-related mortality was assessed in the U.S. from 1999 to 2023. Using age-adjusted mortality rates (AAMR), temporal trends were analyzed using the Joinpoint Regression Program for women 25 years and older across race, census regions, urban/rural residence, and states. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated with 95% confidence intervals.ResultsCervical cancer-related mortality declined over the study period with an AAPC of –1.043*. Between 2015 and 2023, there was a concerning positive change in AAMR [APC of 0.1272 (95% CI –0.3393 to 1.7502)], though not statistically significant. Black or African American patients experienced the highest AAMR across races but maintained a decrease in mortality rate over the study period [AAPC of -2.670* (95% CI -2.931 to -2.356)]. Region and race analysis demonstrated Black or African American patients in the Northeast held the largest decline in AAMR [AAPC of –3.218* (95% CI –3.708 to –2.390)], while Hispanic or Latino and Black or African American patients in the South closely followed AAPC of –1.347* (–1.898 to –0.824) and –2.656* (95% CI –2.939 to -2.350), respectively]. Rural areas (NonCore and Micropolitan) and the Southern region displayed a concerning positive trend after 2009 and 2010, though not statistically significant [APC values of 0.772 (95% CI -0.328 to 4.888), 0.986 (95% CI –0.252 to 4.887), and 0.286 (95% CI –0.061 to 0.772), respectively].ConclusionThese findings underscore the need for targeted interventions with consideration of regional and racial temporal disparities in cervical cancer-related mortality.
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TwitterThis database of cancer-related citations for publications authored by CDC’s Division of Cancer Prevention and Control (DCPC) staff, fosters collaboration among scientists throughout the world. Allows for searching for links to scientific articles authored or co-authored by researchers from DCPC since 2000.
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TwitterThis dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES project by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. It represents a first-of-its kind effort to release information uniformly on this large scale. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. This data only covers the health of adults (people 18 and over) in East Baton Rouge Parish. All estimates lie within a 95% confidence interval.
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TwitterPLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). This service includes 29 measures for chronic disease related health outcomes (13), prevention measures (9), health risk behaviors (4), and health status (3). Data were provided by CDC Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2020 or 2019), Census Bureau 2010 census population data or annual population estimates for county vintage 2020 or 2019, and American Community Survey (ACS) 2015-2019 estimates.The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.The prevention measures include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).The health risk behaviors include binge drinking, current smoking, physical inactivity, and sleeping less than 7 hours.The health status measures include mental health not good for ≥14 days, physical health not good for ≥14 days, and fair or poor health. For more information, please visit https://www.cdc.gov/places or contact places@cdc.gov.
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TwitterThe data presents cancer incidence rates and number of new cases of cancer by type per year in state and county level geographies. The data is available by race/ethnicity and cancer type. This data is collected by the CDC from public health surveillance systems by using either their published reports or public use files. Many state departments of health publish state-specific cancer data. This data may be more recent or may provide more detail than the data published nationally. For all data years, rates and counts are suppressed if fewer than 16 cases were reported in a specific category, such as cancer type, race and/or ethnicity, age, and state. This suppression is to ensure confidentiality and reliability of rate estimates. For 2017-2021 data, Indiana did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas because state legislation and regulations prohibit the release of county-level data to outside entities. For 2016-2020 data, Indiana and Nevada did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas and Minnesota because state legislation and regulations prohibit the release of county-level data to outside entities. County data from Virginia are suppressed due to incomplete data. Due to a coding issue reported by North Dakota and Wisconsin, state- and county-specific counts and rates by race and ethnicity are not presented for North Dakota. For Wisconsin, state- and county-specific counts and rates are not presented for Hispanic persons. These data for all races and ethnicities are included in national rates. For 2015-2019 data, Nevada did not meet publication criteria and was excluded from the analysis. County data are not available from Kansas and Minnesota because of state legislation and regulations which prohibit the release of county-level data to outside entities. In addition, Kansas opted not to present state- and county-specific Asian and Pacific Islander counts and rates for these years. The national rates presented include data for Kansas. Please visit U.S. Cancer Statistics data website for detailed technical documentation.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.
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TwitterThe PLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the CDC, the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). The original 500 Cities Project provided city- and census tract-level estimates for chronic disease risk factors (5), health outcomes (13), and clinical preventive services use (9) for the 500 largest US cities. The PLACES Project extends these estimates to all counties, places (incorporated and census designated places), census tracts and ZIP Code Tabulation Areas (ZCTA) across the United States. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2018 or 2017), Census Bureau 2010 census population data or annual population estimates for county vintage 2018 or 2017, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates.The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, mental health not good for >=14 days, physical health not good for >=14 days, all teeth lost and stroke.The preventive services uses include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).The unhealthy behaviors include binge drinking, current smoking, obesity, physical inactivity, and sleeping less than 7 hours.For more information about the methodology, visit https://www.cdc.gov/places or contact places@cdc.gov.CDC's source webpage.CDC's feature service.
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TwitterPLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). This service includes 29 measures for chronic disease related health outcomes (13), prevention measures (9), health risk behaviors (4), and health status (3). Data were provided by CDC Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2020 or 2019), Census Bureau 2010 census population data or annual population estimates for county vintage 2020 or 2019, and American Community Survey (ACS) 2015-2019 estimates.The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.The prevention measures include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).The health risk behaviors include binge drinking, current smoking, physical inactivity, and sleeping less than 7 hours.The health status measures include mental health not good for ≥14 days, physical health not good for ≥14 days, and fair or poor health. For more information, please visit https://www.cdc.gov/places or contact places@cdc.gov.
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TwitterThis data comes from aggregation of the tables available on the NIH's National Cancer Institutes State Cancer Profiles, specifically with their incidence tables.
The objective of the State Cancer Profiles Web site is to provide a system to characterize the cancer burden in a standardized manner in order to motivate action, integrate surveillance into cancer control planning, characterize areas and demographic groups, and expose health disparities. The focus is on cancer sites for which there are evidence based control interventions. Interactive graphics and maps provide visual support for deciding where to focus cancer control efforts.
This data has cancer Incidence rates broken down by US County and includes data aggregated from 2012-2016. It has both incidence rates per 100k as well as yearly totals averaged over that period
This data is summarized across other potentially illuminating fields. The State Cancer Profiles can be further broken down by cancer area, race/ethnicity, sex, age, and stage. If more fidelity on the data would be helpful please add it to the discussion section and I can work on adding it!
By using these data, you signify your agreement to comply with the following statutorily based requirements.
The Public Health Service Act (42 U.S.C. 242m(d)) provides that the data collected by the National Center for Health Statistics (NCHS) may be used only for the purpose for which they were obtained; any effort to determine the identity of any reported cases, or to use the information for any purpose other than for statistical reporting and analysis, is against the law. The National Program of Cancer Registries (NPCR), Centers for Disease Control and Prevention (CDC), has obtained an assurance of confidentiality pursuant to Section 308(d) of the Public Health Service Act, 42 U.S.C. 242m(d). This assurance provides that identifiable or potentially identifiable data collected by the NPCR may be used only for the purpose for which they were obtained unless the person or establishment from which they were obtained has consented to such use. Any effort to determine the identity of any reported cases, or to use the information for any purpose other than statistical reporting and analysis, is a violation of the assurance.
Therefore users will: - Use the data for statistical reporting and analysis only. - Make no attempt to learn the identity of any person or establishment included in these data. - Make no disclosure or other use of the identity of any person or establishment discovered inadvertently, and advise the appropriate contact for the data provider. In addition to immediately notifying "Contact Us" of the potential disclosure, - For mortality data, notify the Confidentiality Officer at the National Center for Health Statistics (Alvan O. Zarate, Ph.D.), 3311 Toledo Road, Rm 7116, Hyattsville, MD 20782, Phone: 301-458-4601, Fax: 301-458-4021) - For incidence data notify both the Federal agency that provided the data and notify the relevant state or metropolitan area cancer registryExternal Web Site Policy, of any such discovery. - For CDC's National Program of Cancer Registries (NPCR) areas, notify the Associate Director for Science, Office of Science Policy and Technology Transfer, CDC, Mailstop D-50, 1600 Clifton Road, N.E., Atlanta, Georgia, 30333, Phone: 404-639-7240) - For NCI's Surveillance, Epidemiology, and End Results (SEER) Program registry areas, notify the Branch Chief of the Cancer Statistics Branch of the Surveillance Research Program, Division of Cancer Control and Population Sciences, NCI, BG 9609 MSC 9760, 9609 Medical Center Drive, Bethesda, MD 20892-9760, Phone: 301-496-8510, Fax: 301-496-9949.
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TwitterThis dataset contains model-based census tract level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 29 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Data support a paper of this title:
A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates
Data represent a compilation of various data inputs from numerous sources including the National Cancer Institute SEER*Stat National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: NPCR and SEER Incidence – U.S. Cancer Statistics Public Use Research Database, 2019 submission (2001-2017), United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Released June 2020. Available at www.cdc.gov/cancer/public-use program; the National survey of Drug Use and Health conducted by the Substance Abuse and Mental Health Services Administration; and the US Census bureau.
Data also include inverse probability weights for cannabis exposure.
Data also include their geospatial linkage network constructed for all US states which makes Alaska and Hawaii spatially connected to the contiguous USA.
Data also include the R script used to conduct and prepare the analysis.
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TwitterThis dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimate data, and American Community Survey 2017–2021, or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.
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TwitterThe CDC’s PLACES program is an expansion of the small area health estimates that they created for their 500 Cities program starting in 2015. The 500 Cities program used statistical techniques to produce estimates for various health outcomes or risk factors at small areas for the largest 500 Cities in the United States. The PLACES program expands these estimates across the country, and makes the data available for Census tracts, ZCTAs, Census places (called Cities on PolicyMap), and Counties. These estimates were created using the CDC’s Behavioral Risk Factor Surveillance System (BRFSS), the Decennial Census, and estimates from the American Community Survey. The CDC publishes both crude and age-adjusted estimates. Many of the chronic health conditions and risk factors estimated in this dataset have a strong correlation with age. This means that areas with much older populations may have deceptively high crude rates of illness. Age-adjusted estimates correct for the different age profiles of different geographies, which makes it easier to understand whether certain health conditions are truly worse in certain areas. Crude rates are available at the Census tract, ZCTA, City, and County levels, and Age-adjusted rates are available at the City and County levels. For more details on measures: https://www.cdc.gov/places/measure-definitions/ Release Notes:
2025 Release: Estimates for Kentucky and Pennsylvania are not available for measures based on BRFSS 2023. Kentucky and Pennsylvania were unable to collect data over enough months to meet the minimum requirements for inclusion in the 2023 annual aggregate data set. Measure definition was adjusted: "Feelings of social isolation" was changed to "Feelings of loneliness" Due to the change to the cervical cancer screening question in BRFSS 2022, this measure is not able in the 2025 release. 2024 Release: The small area estimation model for the seven new health-related social needs measures was based on data from 39 states and DC. Excludes: Arkansas, Colorado, Hawaii, Illinois, Louisiana, New York, North Dakota, Oregon, Pennsylvania, South Dakota, Virginia, and Territories First release that uses Census 2020 population data and geographic boundaries. For county-level estimation, Census 2022 county population intercensal estimates were used. Four measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) based on 2021 BRFSS have been recalculated using Census 2020 population data and geographic boundaries to match other measures. Chronic kidney disease and preventive service use for older adults were discontinued because of program recommendations. These indicators will not be updated beyond 2021. US Preventive Services Task Force recommendations for colorectal cancer screening was updated to the population aged 45–75 from 50–75 years. Due to the change to the cervical cancer screening question in BRFSS 2022, this measure is not able in the 2024 release. 2023 Release:Estimates for Florida are not available for measures based on BRFSS 2021. Florida was unable to collect data over enough months to meet the minimum requirements for inclusion in the 2021 annual aggregate data set. However, the seven measures based on BRFSS 2020 are carried over for Florida. 2021/2022 Release: Estimates for New Jersey are not available for measures based on BRFSS 2019. The state did not collect enough BRFSS data to meet the minimum requirements for inclusion in the 2019 annual aggregate data set. Please consider differences in data collection and potential impacts of the COVID-19 pandemic when comparing 2020 BRFSS estimates with other years.
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TwitterThe United States Cancer Statistics (USCS) online databases in WONDER provide cancer incidence and mortality data for the United States for the years since 1999, by year, state and metropolitan areas (MSA), age group, race, ethnicity, sex, childhood cancer classifications and cancer site. Report case counts, deaths, crude and age-adjusted incidence and death rates, and 95% confidence intervals for rates. The USCS data are the official federal statistics on cancer incidence from registries having high-quality data and cancer mortality statistics for 50 states and the District of Columbia. USCS are produced by the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), in collaboration with the North American Association of Central Cancer Registries (NAACCR). Mortality data are provided by the Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), National Vital Statistics System (NVSS).