{ "@type": "DataService", "contactPoint": [ { "@type": "Kind", "fn": "NCCDPHP Informatics", "hasEmail": "mailto:chronicinformatics@cdc.gov" } ], "endpointURL": [ "https://data.cdc.gov/api" ], "identifier": "urn:datagov:dataservice:e901d1e30249204e651da86c5b63486dfd4f34f3ec20bd41e5a30df50472e245", "license": "https://creativecommons.org/publicdomain/zero/1.0/", "publisher": { "@type": "Organization", "name": "Centers for Disease Control and Prevention (CDC)" }, "servesDataset": [ { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Adolescent and School Health", "hasEmail": "mailto:nccdDashInfo@cdc.gov" } ], "description": "1991-2017. Middle School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.", "identifier": "k5bc-k3g8", "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): Middle School" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Adolescent and School Health", "hasEmail": "mailto:nccdDashInfo@cdc.gov" } ], "description": "2003-2015. Global School dataset. The Global School-based Student Health Survey (GSHS) was developed by the World Health Organization (WHO) in collaboration with the United Nations' UNICEF, UNESCO, and UNAIDS; and with technical assistance from CDC. The GSHS is a school-based survey conducted primarily among students aged 13-17 years in countries around the world. It uses core questionnaire modules that address the leading causes of morbidity and mortality among children and adults worldwide: 1) Alcohol use, 2) dietary behaviors, 3) drug use, 4) hygiene, 5) mental health, 6) physical activity, 7) protective factors, 8) sexual behaviors that contribute to HIV infection, other sexually-transmitted infections, and unintended pregnancy, 9) tobacco use, and 10) violence and unintentional injury. This dataset contains global data from 2003 – 2015. Additional information about the GSHS can be found at https://www.cdc.gov/gshs/index.htm.", "identifier": "pxpe-pgrg", "title": "DASH - Global School-based Student Health Survey (GSHS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Adolescent and School Health", "hasEmail": "mailto:nccdDashInfo@cdc.gov" } ], "description": "2015-2017. High School Dataset – Including Sexual Orientation. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors\namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and\nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human\nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors\nthe prevalence of obesity and asthma and other priority health behaviors. This dataset contains national, state, and local data from 2015 that includes two aspects of sexual orientation – sexual identity and sex of sexual contacts. Additional information about the YRBSS can be found at www.cdc.gov/yrbss.", "identifier": "q6p7-56au", "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School – Including Sexual Orientation" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Adolescent and School Health", "hasEmail": "mailto:nccddashinfo@cdc.gov" } ], "description": "1991-2017. High School Dataset. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health behaviors \namong youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and \nother drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human \nimmunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors \nthe prevalence of obesity and asthma and other priority health behaviors.", "identifier": "svam-8dhg", "title": "DASH - Youth Risk Behavior Surveillance System (YRBSS): High School - Excluding Sexual Identity" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Adolescent and School Health", "hasEmail": "mailto:nccddashinfo@cdc.gov" } ], "description": "2022 School Health Profiles (Profiles) Dataset. Profiles is a system of surveys assessing school health policies and practices in states, school districts, territories, and tribes. Profiles surveys are conducted biennially by education and health agencies among middle and high school principals and lead health education teachers. Profiles monitors the current status of school health education requirements and content, physical education and physical activity, practices related to bullying and sexual harassment, school health policies related to tobacco-use prevention and nutrition, school-based health and mental health services, family engagement and community involvement, and school health coordination.", "identifier": "twtn-mxqy", "title": "DASH School Health Profiles (Profiles) 2022" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "1984-2023. Centers for Disease Control and Prevention (CDC). BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss).", "identifier": "iuq5-y9ct", "title": "Behavioral Risk Factor Surveillance System (BRFSS) Historical Questions" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "1995-2010. BRFSS land line only prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data", "identifier": "y4ft-s73h", "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2010 and prior)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2002-2010. BRFSS SMART County Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data", "identifier": "acme-vg9e", "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2010 and prior)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2002-2010. BRFSS SMART MMSA Prevalence land line only data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data", "identifier": "waxm-p5qv", "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2010 and Prior)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2011 to 2012. BRFSS SMART County Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected counties with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct", "identifier": "cpem-dkkm", "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) County Prevalence Data (2011 to 2012)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct", "identifier": "j32a-sa6u", "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Prevalence Data (2011 to Present)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2011 to present. BRFSS SMART MMSA age-adjusted prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct", "identifier": "at7e-uhkc", "title": "Behavioral Risk Factors: Selected Metropolitan Area Risk Trends (SMART) MMSA Age-adjusted Prevalence Data (2011 to Present)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2011 to present. BRFSS combined land line and cell phone age-adjusted prevalence data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. \nData will be updated annually as it becomes available.\n\nDetailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). \nMethodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf \nGlossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct", "identifier": "d2rk-yvas", "title": "Behavioral Risk Factor Surveillance System (BRFSS) Age-Adjusted Prevalence Data (2011 to present)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (https://www.cdc.gov/brfss). Methodology: https://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://data.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct", "identifier": "dttw-5yxu", "title": "Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data (2011 to present)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Behavioral Risk Factor Surveillance System", "hasEmail": "mailto:PublicInquiriesDPH@cdc.gov" } ], "description": "2015-2022. This data set contains data from BRFSS.", "identifier": "hfr9-rurv", "title": "Alzheimer's Disease and Healthy Aging Data" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Chronic Disease Indicators", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "CDC's Division of Population Health provides a cross-cutting set of 115 indicators developed by consensus among CDC, the Council of State and Territorial Epidemiologists, and the National Association of Chronic Disease Directors. These indicators allow states and territories to uniformly define, collect, and report chronic disease data that are important to public health practice in their area. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.", "identifier": "hksd-2xuw", "title": "U.S. Chronic Disease Indicators" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "1999 – 2000 to 2017 – 2018. The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This was one of the datasets provided by the National Cardiovascular Disease Surveillance System and presented on DHDSP’s Data, Trends, and Maps online tool. This tool was retired in April of 2024 and this dataset will not be updated. Contact dhdsprequests@cdc.gov if you need assistance with data previously included in this dataset. The data can be plotted as trends and stratified by age group, sex, and race/ethnicity.\n\nUpdated 12/9/2025: Per a court order, HHS is required to restore this website to its version as of 12:00 AM on January 29, 2025. Information on this page may be modified and/or removed in the future subject to the terms of the court’s order and implemented consistent with applicable law. Any information on this page promoting gender ideology is extremely inaccurate and disconnected from truth. The Trump Administration rejects gender ideology due to the harms and divisiveness it causes. This page does not reflect reality and therefore the Administration and this Department reject it.", "identifier": "5svk-8bnq", "title": "National Health and Nutrition Examination Survey (NHANES) - National Cardiovascular Disease Surveillance System" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "48mw-5apu", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "kgsi-35re", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html", "identifier": "mfvi-hkb9", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. \nhttps://www.cdc.gov/dhdsp/maps/atlas", "identifier": "v246-z5tb", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "6x7h-usvx", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "tqwu-4a7k", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "s6p7-fvbw", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "ua33-yiiu", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "g5fg-bgtw", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "jiwm-ppbh", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "55yu-xksw", "title": "Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "2019 to 2021, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html", "identifier": "vutr-sfkh", "title": "Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2019-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.", "identifier": "7b9s-s8ck", "title": "Rates and Trends in Heart Disease and Stroke Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Heart Disease and Stroke Surveillance", "hasEmail": "mailto:dhdsprequests@cdc.gov" } ], "description": "This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35 – 64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indialaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.", "identifier": "uc9k-vc2j", "title": "Rates and Trends in Hypertension-related Cardiovascular Disease Mortality Among US Adults (35+) by County, Age Group, Race/Ethnicity, and Sex – 2000-2019" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.", "identifier": "6ryw-hetw", "title": "2021 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.", "identifier": "knu9-e7pg", "title": "2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.", "identifier": "wrev-kwxu", "title": "2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.", "identifier": "92ri-yjps", "title": "2020 Final Assisted Reproductive Technology (ART) Services and Profiles" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.", "identifier": "ix4g-rt8v", "title": "2022 Final Assisted Reproductive Technology (ART) Services and Profiles" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Services and Profiles dataset provides an overview of clinic services, the clinic’s contact information, location, the medical director’s name, and summary statistics.", "identifier": "ui6g-vumy", "title": "2021 Final Assisted Reproductive Technology (ART) Services and Profiles" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.", "identifier": "3x54-3thk", "title": "2020 Final Assisted Reproductive Technology (ART) Success Rates" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.", "identifier": "cchw-gdwa", "title": "2022 Final Assisted Reproductive Technology (ART) Success Rates" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.", "identifier": "4yy2-qa9v", "title": "2020 Final Assisted Reproductive Technology (ART) Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.", "identifier": "9tjt-seye", "title": "2022 Final Assisted Reproductive Technology (ART) Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.", "identifier": "ey8b-ejrf", "title": "2021 Final Assisted Reproductive Technology (ART) Success Rates" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "National ART Surveillance System", "hasEmail": "mailto:cdcinfo@cdc.gov" } ], "description": "Data were updated on September 11, 2024.\n\nART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.", "identifier": "24w5-nppr", "title": "2021 Final Assisted Reproductive Technology (ART) Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status.\n\nThe CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.", "identifier": "8hus-y5nc", "title": "National Community Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes breastfeeding data from the National Immunization Survey (NIS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about breastfeeding and NIS visit https://www.cdc.gov/breastfeeding/data/nis_data/index.htm.", "identifier": "8hxn-cvik", "title": "Nutrition, Physical Activity, and Obesity - National Immunization Survey (Breastfeeding)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.", "identifier": "vba9-s8jp", "title": "Nutrition, Physical Activity, and Obesity - Youth Risk Behavior Surveillance System" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.", "identifier": "hn4x-zwk7", "title": "Nutrition, Physical Activity, and Obesity - Behavioral Risk Factor Surveillance System" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.", "identifier": "k8w5-7ju6", "title": "Nutrition, Physical Activity, and Obesity - Policy and Environmental Data" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.", "identifier": "735e-byxc", "title": "Nutrition, Physical Activity, and Obesity - Women, Infant, and Child" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Nutrition, Physical Activity, and Obesity", "hasEmail": "mailto:dnpaoinfo@cdc.gov" } ], "description": "This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.", "identifier": "8mrp-rmkw", "title": "Nutrition, Physical Activity, and Obesity - American Community Survey" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Oral Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "2000-2018. Water Fluoridation Statistics is a biennial report of the percentage and number of people receiving fluoridated water from 2000 through 2018, originally published at https://www.cdc.gov/fluoridation/statistics/index.htm. For more information, see: https://www.cdc.gov/oralhealthdata/overview/fluoridation_indicators.html", "identifier": "8235-5d73", "title": "Water Fluoridation Statistics - Percent of PWS population receiving fluoridated water" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Oral Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult-Indicators.html.", "identifier": "jz6n-v26y", "title": "NOHSS Adult Indicators" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Oral Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: https://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html", "identifier": "aemk-wcbf", "title": "NOHSS Adult Indicators - 2010 And Prior BRFSS" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Oral Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "State, 2016 – 2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.", "identifier": "hgyx-uuxz", "title": "Community Water Fluoridation – State and County Level Statistics" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level.", "identifier": "k56w-7tny", "title": "500 Cities: City-level Data (GIS Friendly Format), 2016 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2014, 2013. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.", "identifier": "5mtz-k78d", "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2016 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.", "identifier": "djk3-k3zs", "title": "500 Cities: City-level Data (GIS Friendly Format), 2017 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2015, 2014. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.", "identifier": "kucs-wizg", "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2017 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.", "identifier": "k25u-mg9b", "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2018 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.", "identifier": "pf7q-w24q", "title": "500 Cities: City-level Data (GIS Friendly Format), 2018 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.", "identifier": "k86t-wghb", "title": "500 Cities: Census Tract-level Data (GIS Friendly Format), 2019 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "2017, 2016. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.", "identifier": "dxpw-cm5u", "title": "500 Cities: City-level Data (GIS Friendly Format), 2019 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains ZCTA-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning. \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.", "identifier": "bumh-rgsq", "title": "Non-Medical Factor Measures for ZCTA, ACS 2017-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains census tract-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning. \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.", "identifier": "e539-uadk", "title": "Non-Medical Factor Measures for Census Tract, ACS 2017-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains county-level non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning. \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.", "identifier": "i6u4-y3g4", "title": "Non-Medical Factor Measures for County, ACS 2017-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) 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 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf", "identifier": "9xb7-9z99", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2021 release. 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. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, 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 because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "s85h-9xpy", "title": "PLACES: Local Data for Better Health, ZCTA Data 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 29 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "c76y-7pzg", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "gd4x-jyhw", "title": "PLACES: Local Data for Better Health, ZCTA Data 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 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. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 36 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588", "identifier": "c7b2-4ecy", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "6jwg-4k37", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census 2020 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "kee5-23sr", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level 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.", "identifier": "9umn-c3jf", "title": "PLACES: Local Data for Better Health, ZCTA Data 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level 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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related scocial needs. 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) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "4r2x-hcfq", "title": "PLACES: Local Data for Better Health, ZCTA Data 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level 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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "qnzd-25i4", "title": "PLACES: Local Data for Better Health, ZCTA Data, 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project 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) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2010 ZCTA boundary file in a GIS system to produce maps for 27 measures at the ZCTA level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.", "identifier": "bdsk-unrd", "title": "PLACES: ZCTA Data (GIS Friendly Format), 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "fbbf-hgkc", "title": "PLACES: Local Data for Better Health, ZCTA Data 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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.", "identifier": "em5e-5hvn", "title": "PLACES: Local Data for Better Health, Census Tract Data 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "ai6z-tcin", "title": "PLACES: Local Data for Better Health, Census Tract Data 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "cwsq-ngmh", "title": "PLACES: Local Data for Better Health, Census Tract Data, 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This 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. \nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf", "identifier": "mb5y-ytti", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. 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.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "shc3-fzig", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project 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) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 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 27 measures at the census tract level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.", "identifier": "ib3w-k9rq", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 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. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 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.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588", "identifier": "hky2-3tpn", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 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.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "k9zj-b28y", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract level estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the Census tract 2023 boundary file in a GIS system to produce maps for 40 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.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7", "identifier": "yjkw-uj5s", "title": "PLACES: Census Tract Data (GIS Friendly Format), 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract-level estimates for the PLACES 2021 release. 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. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2015 – 019 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 because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "373s-ayzu", "title": "PLACES: Local Data for Better Health, Census Tract Data 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "nw2y-v4gm", "title": "PLACES: Local Data for Better Health, Census Tract Data 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based census tract-level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "4ai3-zynv", "title": "PLACES: Local Data for Better Health, Census Tract Data 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This 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.", "identifier": "h3ej-a9ec", "title": "PLACES: Local Data for Better Health, County Data 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This 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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "fu4u-a9bh", "title": "PLACES: Local Data for Better Health, County Data 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This 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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2023 or 2022 data, Census Bureau 2023 county population estimate data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "swc5-untb", "title": "PLACES: Local Data for Better Health, County Data, 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-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. Project 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 2019 or 2018 county 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 2015 county boundary file in a GIS system to produce maps for 29 measures at the county 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", "identifier": "kmvs-jkvx", "title": "PLACES: County Data (GIS Friendly Format), 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates for the PLACES 2021 release. 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. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2019 or 2018 county population estimate data, 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 because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "pqpp-u99h", "title": "PLACES: Local Data for Better Health, County Data 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimates, and American Community Survey (ACS) 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 29 measures at the county 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "xyst-f73f", "title": "PLACES: County Data (GIS Friendly Format), 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. This dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2020 or 2019 county population estimate data, and American Community Survey 2016 – 2020 or 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "duw2-7jbt", "title": "PLACES: Local Data for Better Health, County Data 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project 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) 2018 or 2017 data, Census Bureau 2018 or 2017 county population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the census 2015 county boundary file in a GIS system to produce maps for 27 measures at the county level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.", "identifier": "mssc-ksj7", "title": "PLACES: County Data (GIS Friendly Format), 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "dv4u-3x3q", "title": "PLACES: Local Data for Better Health, County Data 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates in GIS-friendly format. 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. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. 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 estimates, and American Community Survey (ACS) 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. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588", "identifier": "7cmc-7y5g", "title": "PLACES: County Data (GIS Friendly Format), 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates in GIS-friendly format. 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. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "d3i6-k6z5", "title": "PLACES: County Data (GIS Friendly Format), 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based county-level estimates in GIS-friendly format. 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. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2023 county population estimates, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the census 2023 county boundary file in a GIS system to produce maps for 40 measures at the county 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "i46a-9kgh", "title": "PLACES: County Data (GIS Friendly Format), 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 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. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 36 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.\nhttps://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588", "identifier": "xx8k-iu94", "title": "PLACES: Place Data (GIS Friendly Format), 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "hbpe-6r8n", "title": "PLACES: Place Data (GIS Friendly Format), 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. 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. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey (ACS) 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "vgc8-iyc4", "title": "PLACES: Place Data (GIS Friendly Format), 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) 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 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place 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", "identifier": "cj8b-94cj", "title": "PLACES: Place Data (GIS Friendly Format), 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release. 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. The dataset includes estimates for 29 measures: 4 chronic disease-related risk behaviors, 13 health outcomes, 3 health status, and 9 on using preventive services. 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population data, 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 because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "q8ig-wwk9", "title": "PLACES: Local Data for Better Health, Place Data 2021 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place 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=3b7221d4e47740cab9235b839fa55cd7", "identifier": "uuui-fh3m", "title": "PLACES: Place Data (GIS Friendly Format), 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project 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 Areas (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. The project 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) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.", "identifier": "ndzg-9nmv", "title": "PLACES: Place Data (GIS Friendly Format), 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project 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 Areas (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. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "q8xq-ygsk", "title": "PLACES: Local Data for Better Health, Place Data 2020 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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.", "identifier": "krqc-563j", "title": "PLACES: Local Data for Better Health, Place Data 2023 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2022 or 2021 data, Census Bureau 2020 population data, and American Community Survey 2018 – 2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "sd8v-uq83", "title": "PLACES: Local Data for Better Health, Place Data 2024 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "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 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. 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) 2023 or 2022 data, Census Bureau 2020 population data, and American Community Survey 2019-2023 or 2018 – 2022 estimates. The 2025 release uses 2023 BRFSS data for 35 measures and 2022 BRFSS data for 5 measures (all teeth lost, dental visits, mammograms, colorectal cancer screening, and short sleep duration) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "eav7-hnsx", "title": "PLACES: Local Data for Better Health, Place Data, 2025 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains model-based place (incorporated and census-designated places) level estimates for the PLACES 2022 release. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides 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 in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 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 include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population data, and American Community Survey 2015 – 2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.", "identifier": "epbn-9bv3", "title": "PLACES: Local Data for Better Health, Place Data 2022 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset contains place-level (incorporated and census-designated places) non-medical factor measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES non-medical factor measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and non-medical factor issues overlap in a community to help inform public health planning. \n\nTo access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.", "identifier": "edkk-ze78", "title": "Non-Medical Factor Measures for Place, ACS 2017-2021" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This dataset provides a data dictionary for PLACES and 500 Cities releases. For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.", "identifier": "m35w-spkz", "title": "PLACES and 500 Cities: Data Dictionary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.\nNote: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.", "identifier": "9z78-nsfp", "title": "500 Cities: Local Data for Better Health, 2016 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.", "identifier": "vurf-k5wr", "title": "500 Cities: Local Data for Better Health, 2017 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This is the complete dataset for the 500 Cities project 2018 release. This dataset includes 2016, 2015 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. Because some questions are only asked every other year in the BRFSS, there are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) from the 2015 BRFSS that are the same in the 2018 release as the previous 2017 release. More information about the methodology can be found at www.cdc.gov/500cities.", "identifier": "rja3-32tc", "title": "500 Cities: Local Data for Better Health, 2018 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "PLACES: Local Data for Better Health", "hasEmail": "mailto:places@cdc.gov" } ], "description": "This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of 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 measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.", "identifier": "6vp6-wxuq", "title": "500 Cities: Local Data for Better Health, 2019 release" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is a compilation of more than 7,000 historical tobacco-related survey questions from various state, national and international surveys.", "identifier": "vdgb-f9s3", "title": "Question Inventory on Tobacco (QIT)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1970-2019. Orzechowski and Walker. Tax Burden on Tobacco. Tax burden data was obtained from the annual compendium on tobacco revenue and industry statistics, The Tax Burden on Tobacco. Data are reported on an annual basis; Data include federal and state-level information regarding taxes applied to the price of a pack of cigarettes.", "identifier": "7nwe-3aj9", "title": "The Tax Burden on Tobacco, 1970-2019" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.", "identifier": "vw7y-v3uk", "title": "University of Illinois at Chicago Health Policy Center - Funding" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.", "identifier": "wan8-w4er", "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Campuses. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air policies in areas such as: Smokefree campuses for private and public colleges and schools (K-12).", "identifier": "yhkp-cczf", "title": "CDC STATE System Tobacco Legislation - Smokefree Campus" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.", "identifier": "32fd-hyzc", "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell e-cigarettes over-the-counter and through vending machines.", "identifier": "ne52-uraz", "title": "CDC STATE System E-Cigarette Legislation - Licensure" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.", "identifier": "piju-vf3p", "title": "CDC STATE System E-Cigarette Legislation - Preemption" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Smokefree Campus. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state smokefree indoor air laws for smokefree campuses in private and public colleges and schools (K-12).", "identifier": "itia-u6fu", "title": "CDC STATE System E-Cigarette Legislation - Smokefree Campus" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state excise taxes on e-cigarettes and tax stamps.", "identifier": "kwbr-syv2", "title": "CDC STATE System E-Cigarette Legislation - Tax" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure that are applicable to e-cigarettes.", "identifier": "88eg-qzed", "title": "CDC STATE System E-Cigarette Legislation - Preemption Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air that apply to use of e-cigarettes in private worksites, restaurants, and bars.", "identifier": "i8t6-whzd", "title": "CDC STATE System E-Cigarette Legislation - Smokefree Indoor Air Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. E-Cigarette Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of e-cigarettes to youth through retail sales and vending machines.", "identifier": "8zea-kwnt", "title": "CDC STATE System E-Cigarette Legislation - Youth Access" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in private worksites, restaurants, and bars.", "identifier": "2snk-eav4", "title": "CDC STATE System Tobacco Legislation - Smokefree Indoor Air Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation - Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to summary state preemption of more stringent or differing local laws on smokefree indoor air, youth access and licensure.", "identifier": "hj2x-85ya", "title": "CDC STATE System Tobacco Legislation - Preemption Summary" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include state taxes on combustible (cigarettes, cigars, little cigars, pipe tobacco, and roll-your-own tobacco) tobacco products, non-combustible (snus, moist snuff, dry snuff, chewing tobacco) tobacco products, and tax stamps.", "identifier": "2dwv-vfam", "title": "CDC STATE System Tobacco Legislation - Tax" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to requirements, restrictions and penalties associated with holding a retail license to sell tobacco products over-the-counter and through vending machines.", "identifier": "eb4y-d4ic", "title": "CDC STATE System Tobacco Legislation - Licensure" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to statutory state preemption of more stringent local laws on advertising, smokefree indoor air, youth access and licensure.", "identifier": "xsta-sbh5", "title": "CDC STATE System Tobacco Legislation - Preemption" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1995-2025. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to restrictions, enforcement and penalties associated with the sale of cigarettes to youth through retail sales and vending machines.", "identifier": "hgv5-3wrn", "title": "CDC STATE System Tobacco Legislation - Youth Access" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1997-2018. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA’s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.", "identifier": "escb-scz6", "title": "SAMHSA Synar Reports: Youth Tobacco Sales" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1999-2018. The GYTS is a school-based survey that collects data on students aged 13 – 15 years using a standardized methodology for constructing the sample frame, selecting schools and classes, and processing data. The GYTS surveillance system is intended to enhance the capacity of countries to design, implement, and evaluate tobacco control and prevention programs. Funding for the GYTS has been provided by the Canadian Public Health Association, National Cancer Institute, United Nations Children Emergency Fund, and the World Health Organization – Tobacco Free Initiative.", "identifier": "57qw-ifet", "title": "Global Tobacco Surveillance System (GTSS) - Global Youth Tobacco Survey (GYTS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "1999-2024. National Association of Attorneys General (NAAG). Policy—Tobacco Settlement Payments. The National Association of Attorneys General (NAAG) provides Tobacco Settlement Revenue data for 46 states participating in the Master Settlement Agreement (MSA) with the four largest tobacco companies in the United States. Data are reported on an annual basis. Four states (Florida, Minnesota, Mississippi, and Texas) provide the STATE System their Tobacco Settlement Revenue data independently.", "identifier": "ffbi-is3j", "title": "NAAG Tobacco Settlement Payments" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2000 to Present. Adult Tobacco Consumption in the U.S. This dataset highlights critical trends in adult total and per capita consumption of both combustible (cigarettes, little cigars, small cigars, pipe tobacco, roll-your-own tobacco) tobacco products and smokeless (chewing tobacco and snuff) tobacco from 2000 to present. To view the CDC MMWR report, please visit https://www.cdc.gov/mmwr/volumes/65/wr/mm6548a1.htm.", "identifier": "rnvb-cpxx", "title": "Adult Tobacco Consumption In The U.S., 2000-Present" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2001-2011. The GSPS was initiated in 2000 to collect information on tobacco use, knowledge and attitudes of school personnel toward tobacco, existence and effectiveness of tobacco control policies in schools, and training and materials available for implementing tobacco prevention and control interventions.", "identifier": "5hns-mwci", "title": "Global Tobacco Surveillance System (GTSS) - Global School Personnel Survey (GSPS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.", "identifier": "ezab-8sq5", "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.", "identifier": "4yyu-3s69", "title": "Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2005-2011. The World Health Organization, CDC, and the Canadian Public Health Association, developed the GHPSS to collect data on tobacco use and cessation counseling among health professional students in all WHO member states. GHPSS is a standardized school-based survey of third-year students pursuing advanced degrees in dentistry, medicine, nursing, or pharmacy. It is conducted in schools during regular class sessions. GHPSS follows an anonymous, self-administered format for data collection. GHPSS uses a core questionnaire on demographics, prevalence of cigarette smoking and other tobacco use, knowledge and attitudes about tobacco use, exposure to secondhand smoke, desire for smoking cessation, and training received regarding patient counseling on smoking cessation techniques. Questionnaires are translated into local languages as needed. GHPSS has a standardized methodology for selecting participating schools and classes and uniform data processing procedures.", "identifier": "x6ag-8y7r", "title": "Global Tobacco Surveillance System (GTSS) - Global Health Professions Student Survey (GHPSS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2007. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use. Data are reported at total and per capita funding levels. Data include recommended, upper, and lower total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management.", "identifier": "n4v6-56e8", "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2007" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2008-2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH) – Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS). The Global Adult Tobacco Survey (GATS) is the global standard to systematically monitor adult tobacco use and track key tobacco control indicators. GATS is a nationally representative household survey of adults 15 years of age or older, using a standard protocol. It is intended to generate comparable data within and across countries. GATS enhances countries' capacity to design, implement and evaluate tobacco control interventions.", "identifier": "4xf6-nrwk", "title": "Global Tobacco Surveillance System (GTSS) - Global Adult Tobacco Survey (GATS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2010-2018; 2019. US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States. The estimates for the 2010-2018 dataset are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. Median age is calculated based on single year of age. The estimates for 2019 are based on a one-year dataset that was published on the US Census website in 2021. For population estimates methodology statements, see https://www.census.gov/popest/methodology/index.html.", "identifier": "b2jx-uyck", "title": "US Census Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use. These data update Best Practices for Comprehensive Tobacco Control Programs—2007. Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.", "identifier": "vm4m-idi8", "title": "CDC Best Practices for Comprehensive Tobacco Control Programs - 2014" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:nccdoshinquiries@cdc.gov" } ], "description": "U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.", "identifier": "hhew-mxbt", "title": "Healthy People 2020 Tobacco Use Objectives" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "2011-2022. The ASTDD Synopses of State Oral Health Programs contain information useful in tracking states’ efforts to improve oral health and contributions to progress toward the national targets for Healthy People objectives for oral health. A subset of the information collected from the most recent five years is provided on the Oral Health Data website. For more information, see https://www.cdc.gov/oralhealthdata/overview/synopses/index.html", "identifier": "vwmz-4ja3", "title": "ASTDD Synopses of State Oral Health Programs - Selected indicators" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Smoking Health", "hasEmail": "mailto:oralhealth@cdc.gov" } ], "description": "Data for School year-end 1994 through year-end 2020. State oral health surveys are the data sources for these indicators. States periodically conduct independent screening surveys of a probability sample designed to be representative of all third-grade students in the state. Some states also conduct surveys of students in other grades in school, or of Head Start program enrollees. This surveillance activity is voluntary. States submit their data to the Association of State and Territorial Dental Directors (ASTDD), where the survey design and data collected are reviewed for quality and against the criteria for inclusion in NOHSS, before being sent to CDC for inclusion in Oral Health Data. For more information, see: https://www.cdc.gov/oralhealthdata/overview/childIndicators/", "identifier": "qcai-zfj9", "title": "NOHSS Child Indicators" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.", "identifier": "tdbk-8ubw", "title": "National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2005-2016. This dataset includes data from the retired BRFSS Vision Module. From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. In 2013 and subsequently, one question in the core of BRFSS asks about vision: “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” The latest data for this core question can be found in the Vision and Eye Health Surveillance System (VEHSS). VEHSS is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care. This information can be used for designing, implementing, and evaluating vision and eye health prevention programs. To access the latest BRFSS data, (2013-2017) view the Behavioral Risk Factors – Vision and Eye Health Surveillance dataset (https://chronicdata.cdc.gov/Vision-Eye-Health/Behavioral-Risk-Factors-Vision-and-Eye-Health-Surv/vkwg-yswv).", "identifier": "pttf-ck53", "title": "BRFSS Vision Module Data – Vision & Eye Health" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2013-2022. This dataset is a de-identified summary table of vision and eye health data indicators from BRFSS, stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. BRFSS is a system of telephone surveys conducted by CDC that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. BRFSS completes more than 400,000 adult interviews each year across 50 states, the District of Columbia, and three U.S. territories. BRFSS data for VEHSS includes one question from the core component related to Visual Function. Data were suppressed following NCHS standards. Data will be updated as it becomes available. Detailed information on VEHSS BRFSS analyses can be found on the VEHSS BRFSS webpage (link). General information about BRFSS can be found on the BRFSS website (https://www.cdc.gov/brfss). The VEHSS BRFSS dataset was last updated in February 2026.", "identifier": "vkwg-yswv", "title": "Behavioral Risk Factors – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, sex, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024", "identifier": "thir-stei", "title": "American Community Survey (ACS) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, sex, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (https://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.", "identifier": "2t2r-sf6s", "title": "National Health Interview Survey (NHIS) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2014-2022. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, sex, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated August 2025.", "identifier": "e28h-tx85", "title": "Medicare Fee for Service (FFS) claims (100%) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2016, 2020, 2021, 2022, 2023. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the 2016 MarketScan® Commercial Claims and Encounters Data (CCAE) is produced by Truven Health Analytics, a division of IBM Watson Health. The CCEA data contain a convenience sample of insurance claims information from person with employer-sponsored insurance and their dependents, including 43.6 million person years of data. Prevalence estimates are stratified by all available combinations of age group, sex, and state. Detailed information on VEHSS MarketScan analyses can be found on the VEHSS MarketScan webpage (cdc.gov/visionhealth/vehss/data/claims/marketscan.html). Information on available Medicare claims data can be found on the IBM MarketScan website (https://marketscan.truvenhealth.com). The VEHSS MarketScan summary dataset was last updated 2025.", "identifier": "a35h-9yn4", "title": "Commercial Medical Insurance (MSCANCC) - Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, sex, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (https://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.", "identifier": "de4p-4g3k", "title": "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2016-2022. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children’s Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, sex, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.", "identifier": "bwx3-gx66", "title": "Medicaid Claims (MAX) - Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "2016. This dataset is a de-identified summary table of vision and eye health data indicators from VSP, stratified by all available combinations of age group, race/ethnicity, sex, and state. VSP claims for VEHSS provides a convenience sample of vision insurance members representing approximately more than 1 in 4 of the U.S. population. VSP uses a web-based claims submissions system to collect and process claims. The denominator of the rates represents persons with VSP benefits as reported by employers, and is subject to some uncertainty. VSP data for VEHSS include Service Utilization and Eye Health Condition indicators. Certain ophthalmic conditions and procedures are covered by health insurance and are not covered by managed vision insurance, claims based eye disease prevalence may therefore be expected to undercount true prevalence. Person level claims and person counts are not publically available. Reported rates were suppressed for de-identification to ensure protection of patient privacy. Detailed information on VEHSS VSP analyses can be found on the VEHSS VSP webpage (link). Information on VSP data can be found on the VSP website (www.vsp.com). The VEHSS VSP dataset was last updated in June 2018.", "identifier": "4r3g-hv9c", "title": "Vision Service Plan (VSP) – Vision and Eye Health Surveillance" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "The Department of Defense Health Agency’s (DHA) Vision Center of Excellence (VCE) analyzed data from the MHS MART database on behalf of the VEHSS project. MHS MART is a data management and reporting system used to support decision-making, health care analysis, and operational reporting. MART integrates various sources within MHS to provide a centralized repository for health care data, facilitating access to information that aids in managing health care services, resources, and performance across MHS.\n\nData are based on claims and encounter records in the MHS Management Analysis and Reporting Tool (MART) database. The population includes all active-duty and retired military members and their dependents in the MHS. The sample size is approximately 9.08 million persons.\n\nThese data are also available in the VEHSS Data Explorer, an interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html", "identifier": "binw-6h77", "title": "Military Health System (MHS) - Vision and Eye Health Surveillance System (VEHSS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "VEHSS Composite Prevalence Estimates\n2017, 2019, 2021, 2022. This dataset contains estimates of the prevalence of visual acuity loss and major eye diseases generated using a Bayesian meta-analytic modeling approach that combines information from multiple data sources to produce comprehensive estimates of prevalence by age, race, and sex at the national, state and county levels. These composite prevalence estimates are the primary surveillance measures developed by the Centers for Disease Control and Prevention’s Vision & Eye Health Surveillance System (VEHSS). \n\nFor more information about these estimates including summary tables and maps, methods, and links to related publications visit https://www.cdc.gov/visionhealth/vehss/estimates/index.html\nTo view this data in the VEHSS interactive data visualization application, visit https://ddt-vehss.cdc.gov/ and search for “VEHSS Composite Prevalence Estimate”.\n\n\nVisual Acuity Loss:\nVisual acuity loss prevalence estimates represent best-corrected visual acuity in the better-seeing eye and are included in rows where Category=’Measured Visual Acuity’. Rows with Subgroup = ‘Any vision loss' represents any impairment or blindness of 20/40 or worse; rows with Subgroup = 'US-defined blindness' refers to the subset of vision loss that is 20/200 or worse.\n\n\nAge Related Macular Degeneration:\nThe age-related macular degeneration (AMD) estimates represent AMD as measured with retinal imaging examination, and are included in rows where Category = ‘Age Related Macular Degeneration’. The Subgroup ‘Vision threatening AMD’ includes patients with geographic atrophy, wet-form AMD, or choroidal neovascularization in either eye. The Subgroup ‘Non-vision threatening AMD’ includes patients with early or intermediate dry-form AMD defined as retinal pigment epithelium abnormalities or drusen ≥125 µm in the worse-affected eye, and do not have vision threatening AMD.\n\n\nDiabetic Retinopathy:\nThe diabetic retinopathy (DR) estimates represent DR as measured with retinal imaging examination, and are included in rows where Category=’Diabetic Eye Diseases’. The Subgroup ‘Vision threatening DR’ includes patients with severe non-proliferative DR, proliferative DR, and diabetic macular edema. The Subgroup ‘Non-vision threatening DR’ is defined as patients with mild-moderate non-proliferative DR or unspecified DR, and do not have vision threatening DR.\n\n\nGlaucoma:\nThe glaucoma estimates represent glaucoma as measured with retinal imaging examination and are included in rows where Category=’Glaucoma’. The Subgroup ‘Vision affecting glaucoma’ includes people with glaucoma and abnormal visual field. The Subgroup ‘Non-vision affecting glaucoma’ is defined as people with glaucoma without an abnormal visual field.\n\n\nAge Groups:\nThe VEHSS Composite Prevalence Estimates are available by major age groups (All ages, ages 0-17, 18-39, 40-64, 65-84, 85+) and detailed (5-year) age groups, which are indicated by the text “by detailed age groups” in the ‘Indicator’ field. \n\n\nPrevalence Data Type:\nThese estimates are also available as crude (Data_Value_Type = ‘Crude Prevalence’) or adjusted data (Data_Value_Type=’Adjusted Prevalence). Crude Prevalence is the estimate of the actual number and percentage of people living with each condition. Adjusted Prevalence estimates are adjusted to match the national population by age, race/ethnicity, and sex. Adjusted prevalence estimates can be used to help identify disparities in prevalence between geographic areas that are not explained by differences in demographic characteristics.\n\n \nData Sources:\nData sources for VEHSS Composite Prevalence Estimates include the National Health and Nutrition Examination Survey (NHANES), the American Community Survey (ACS), the National Survey of Children’s Health (NSCH), the Behavioral Risk Factor Surveillance System (BRFSS), Medicare Fee-For-Service claims, the Transformed Medicaid Statistical Information System, MarketScan commercial insurance claim", "identifier": "qeru-k2y2", "title": "VEHSS Modeled Estimates" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "Vision and Eye Health Surveillance System", "hasEmail": "mailto:ddtpubsmailbox@cdc.gov" } ], "description": "VEHSS analyzed NHATS public use data to calculate the prevalence of visual acuity and contrast sensitivity loss. Data are based on NHATS round 12, which was collected in 2022. We defined subgroup thresholds based on the VEHSS case definitions for Vision Loss and Blindness.\n\nNHATS is a health examination survey conducted on a nationally representative sample of Medicare beneficiaries aged 65 years and older. Surveys are conducted each year through in-person interviews. Vision-related tests of distance acuity, near-distance acuity, and contrast sensitivity are conducted with the aid of a computer tablet. Because participants wear their usual eyewear for vision assessments, acuity estimates are based on presenting acuity. \n\nThese data are also available in the VEHSS Data Explorer, and interactive data visualization tool reporting prevalence information from more than 10 data sources: https://www.cdc.gov/vision-health-data/index.html", "identifier": "qktg-6dmb", "title": "National Health and Aging Trends Study (NHATS) – Vision and Eye Health Surveillance System (VEHSS)" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2000. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "3hwj-hqmh", "title": "CDC PRAMStat Data for 2000" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2001. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "u93h-quup", "title": "CDC PRAMStat Data for 2001" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2002. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "dnxe-zgxs", "title": "CDC PRAMStat Data for 2002" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2003. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "u76f-m89e", "title": "CDC PRAMStat Data for 2003" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2004. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "xyxp-dxa9", "title": "CDC PRAMStat Data for 2004" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2005. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "pj7z-f3xf", "title": "CDC PRAMStat Data for 2005" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2006. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "akmt-4qtj", "title": "CDC PRAMStat Data for 2006" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2007. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "vr6p-ert2", "title": "CDC PRAMStat Data for 2007" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2008. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "4ya2-fkvt", "title": "CDC PRAMStat Data for 2008" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2009. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "qwpv-wpc8", "title": "CDC PRAMStat Data for 2009" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2010. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.", "identifier": "xvu4-xjdb", "title": "CDC PRAMStat Data for 2010" }, { "@type": "Dataset", "contactPoint": [ { "@type": "Kind", "fn": "the Pregnancy Risk Assessment Monitoring System", "hasEmail": "mailto:PRAMSProposals@cdc.gov" } ], "description": "2011. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy.\nData will be updated annually as it becomes available.", "identifier": "ese6-rqpq", "title": "CDC PRAMStat Data for 2011" } ], "title": "CDC Open Data API" }