43 datasets found
  1. Behavioral Risk Factor Surveillance Survey: 2013

    • healthdata.gov
    • health.data.ny.gov
    application/rdfxml +5
    Updated Apr 8, 2025
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    health.data.ny.gov (2025). Behavioral Risk Factor Surveillance Survey: 2013 [Dataset]. https://healthdata.gov/State/Behavioral-Risk-Factor-Surveillance-Survey-2013/s4ja-qsrz
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    csv, application/rdfxml, json, tsv, application/rssxml, xmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    health.data.ny.gov
    Description

    The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information, check out http://www.health.ny.gov/statistics/brfss/.

  2. Behavioral Risk Factor Surveillance System (BRFSS) Health Indicators by...

    • health.data.ny.gov
    application/rdfxml +5
    Updated Feb 9, 2023
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    New York State Department of Health (2023). Behavioral Risk Factor Surveillance System (BRFSS) Health Indicators by County and Region [Dataset]. https://health.data.ny.gov/Health/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/jsy7-eb4n
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    application/rssxml, csv, application/rdfxml, xml, json, tsvAvailable download formats
    Dataset updated
    Feb 9, 2023
    Dataset authored and provided by
    New York State Department of Health
    Description

    Data from the 2013-2014 New York Expanded Behavioral Risk Factor Surveillance System (eBRFSS) Survey and the 2016, 2018, 2021 Behavioral Risk Factor Surveillance System were used to generate percentages of adult (18+) NYS residents for various health indicators for a range of geographies.

  3. Vision and Eye Health Risk Factors and Indicators BRFSS

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Vision and Eye Health Risk Factors and Indicators BRFSS [Dataset]. https://www.johnsnowlabs.com/marketplace/vision-and-eye-health-risk-factors-and-indicators-brfss/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2011 - 2022
    Area covered
    United States
    Description

    In 2013 and subsequently, one question in the core of Behavioral Risk Factor Surveillance System (BRFSS) asks about vision: Are you blind or do you have serious difficulty seeing, even when wearing glasses? From 2011-2022 the BRFSS employed a ten question vision module regarding vision impairment, access, and utilization of eye care, and self-reported eye diseases. This dataset shows the results of that survey.

  4. Behavioral Risk Factors – Vision and Eye Health Surveillance

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated May 16, 2025
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    Centers for Disease Control and Prevention (2025). Behavioral Risk Factors – Vision and Eye Health Surveillance [Dataset]. https://catalog.data.gov/dataset/behavioral-risk-factors-vision-and-eye-health-surveillance-db1c9
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.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, gender, 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 November 2019.

  5. A

    ‘BRFSS Vision Module Data – Vision & Eye Health’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 12, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘BRFSS Vision Module Data – Vision & Eye Health’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-brfss-vision-module-data-vision-eye-health-c7d8/latest
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    Dataset updated
    Feb 12, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘BRFSS Vision Module Data – Vision & Eye Health’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/028c752e-8065-45cc-81f9-17a97a9fc08a on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    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).

    --- Original source retains full ownership of the source dataset ---

  6. f

    The percentage of persons tested for HIV, NHIS and BRFSS, United States,...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 3, 2023
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    Michelle M. Van Handel; Bernard M. Branson (2023). The percentage of persons tested for HIV, NHIS and BRFSS, United States, 2003–2013. [Dataset]. http://doi.org/10.1371/journal.pone.0125637.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michelle M. Van Handel; Bernard M. Branson
    License

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

    Description

    Note. N = Unweighted sample size; 95% CI = 95% Confidence Interval; BRFSS = Behavioral Risk Factor Surveillance System; HIV = human immunodeficiency virus; NHIS = National Health Interview Surveya Linear regression modeling was used to assess for statistically significant changes in the percentage of persons aged 18–64 years ever tested for HIV in NHIS during 2003–2013. From 2003 to 2010, there was a statistically significant 4.8% increase in the percentage ever tested for HIV (p < 0.001). From 2010 to 2011, there was a statistically significant 4.4% decrease in the percentage ever tested for HIV (p < 0.001). From 2011 to 2012, the percentage ever tested for HIV did not change significantly (p = 0.101). From 2012 to 2013, there was a statistically significant 2.5% increase in the percentage ever tested for HIV (p < 0.001).b Linear regression modeling was used to assess for statistically significant changes in the percentage of persons aged 18–64 years ever tested for HIV in BRFSS during 2003–2013. From 2003 to 2010, there was a statistically significant 5.7% decrease in the percentage ever tested for HIV (p < 0.001). From 2010 to 2011, there was a statistically significant 2.7% increase in the percentage ever tested for HIV (p < 0.001). From 2011 to 2013, there was a statistically significant 0.6% increase in the percentage ever tested for HIV (p = 0.016).The percentage of persons tested for HIV, NHIS and BRFSS, United States, 2003–2013.

  7. PLACES: Local Data for Better Health, Census Tract Data 2020 release

    • catalog.data.gov
    • sharefulton.fultoncountyga.gov
    • +4more
    Updated Jun 28, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: Local Data for Better Health, Census Tract Data 2020 release [Dataset]. https://catalog.data.gov/dataset/places-local-data-for-better-health-census-tract-data-2020-release-4a0d3
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.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.

  8. f

    Characteristics of persons aged 18–64 years, NHIS and BRFSS, 2003, 2010, and...

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Michelle M. Van Handel; Bernard M. Branson (2023). Characteristics of persons aged 18–64 years, NHIS and BRFSS, 2003, 2010, and 2011. [Dataset]. http://doi.org/10.1371/journal.pone.0125637.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michelle M. Van Handel; Bernard M. Branson
    License

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

    Description

    Note. 95% CI = 95% Confidence Interval; BRFSS = Behavioral Risk Factor Surveillance System; NHIS = National Health Interview SurveyCharacteristics of persons aged 18–64 years, NHIS and BRFSS, 2003, 2010, and 2011.

  9. A

    ‘Behavioral Risk Factors – Vision and Eye Health Surveillance’ analyzed by...

    • analyst-2.ai
    Updated Jul 1, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Behavioral Risk Factors – Vision and Eye Health Surveillance’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-behavioral-risk-factors-vision-and-eye-health-surveillance-0a02/24a9da7b/?iid=017-983&v=presentation
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    Dataset updated
    Jul 1, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Behavioral Risk Factors – Vision and Eye Health Surveillance’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c2109395-d815-4307-a7cf-166e3da1f1d9 on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    2013-2018. 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, gender, 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 November 2019.

    --- Original source retains full ownership of the source dataset ---

  10. brfss-vision-module-data-vision-and-eye-health

    • huggingface.co
    Updated Mar 26, 2025
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    Department of Health and Human Services (2025). brfss-vision-module-data-vision-and-eye-health [Dataset]. https://huggingface.co/datasets/HHS-Official/brfss-vision-module-data-vision-and-eye-health
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    BRFSS Vision Module Data – Vision & Eye Health

      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… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/brfss-vision-module-data-vision-and-eye-health.

  11. PLACES: County Data (GIS Friendly Format), 2020 release

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Jun 28, 2025
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    Centers for Disease Control and Prevention (2025). PLACES: County Data (GIS Friendly Format), 2020 release [Dataset]. https://catalog.data.gov/dataset/places-county-data-gis-friendly-format-2020-release-4ae28
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.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.

  12. 500 Cities: Local Data for Better Health, 2016 release

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Feb 3, 2025
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    Centers for Disease Control and Prevention (2025). 500 Cities: Local Data for Better Health, 2016 release [Dataset]. https://catalog.data.gov/dataset/500-cities-local-data-for-better-health-2016-release
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.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. Note: 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.

  13. d

    500 Cities: Local Data for Better Health.

    • datadiscoverystudio.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Dec 7, 2016
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    (2016). 500 Cities: Local Data for Better Health. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e69b580d8eb64ab08c0b1cdadd42b000/html
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    json, rdf, csv, xmlAvailable download formats
    Dataset updated
    Dec 7, 2016
    Description

    description:

    This is the complete dataset for the 500 Cities project. 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.

    ; abstract:

    This is the complete dataset for the 500 Cities project. 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.

  14. Respondents Indicating At Least 1 Type of Adverse Childhood Experience (LGHC...

    • healthdata.gov
    • data.ca.gov
    • +3more
    application/rdfxml +5
    Updated Apr 8, 2025
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    chhs.data.ca.gov (2025). Respondents Indicating At Least 1 Type of Adverse Childhood Experience (LGHC Indicator) [Dataset]. https://healthdata.gov/State/Respondents-Indicating-At-Least-1-Type-of-Adverse-/d8ku-8kqj
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    csv, application/rdfxml, json, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    chhs.data.ca.gov
    Description

    This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. The Adverse Childhood Experiences (ACEs) module of the Behavioral Risk Factors Surveillance System (BRFSS) asks respondents questions about eight different traumatic childhood experiences that occurred before the age of 18. These include verbal/emotional abuse, physical abuse, sexual abuse, and negative household situations including the incarceration of an adult, alcohol or drug abuse by an adult, violence between adults, mental illness of a household member, and parental divorce or separation. A cumulative ACEs score is calculated for each respondent by counting the number of these items that a respondent reported experiencing, creating a score ranging from 0 to 8. 11 questions about adverse childhood experiences (ACEs) are condensed into a ordinal scale from 0 to 8 possible ACEs. This indicator shows the prevalence of adults who reported having 1 or more ACEs. However other data cuts are available, e.g., 3 or more ACEs The ACEs module is a very "lagging" indicator capturing childhood experiences retrospectively by asking adults 18+ years of age. Additional limitations include: 1) relies on self-reported information, 2) provides prevalence, not incidence data, 3) bias or measurement error associated with telephone-administered survey of a sample of the population (e.g., response bias, sampling variation), 4) designed to provide state-level population health estimates and does not provide sub-state estimates or estimates by racial sub-groups (e.g., Asian sub-groups) unless multiple years are combined. Because of the changes in the methodology, researchers are advised to avoid comparing data collected before the changes (up to 2010) with data collected from 2011 and onward: http://www.cdc.gov/brfss/annual_data/2013/pdf/compare_2013.pdf. In addition, due to changes in the insurance variables, the "Other Public" insurance category was not able to be calculated in 2013.

  15. a

    Chronic Disease Prevalence and Other Risk Factors - 2013-2018

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 26, 2021
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    New Mexico Community Data Collaborative (2021). Chronic Disease Prevalence and Other Risk Factors - 2013-2018 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/NMCDC::chronic-disease-prevalence-and-other-risk-factors-2013-2018/about
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    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    Chronic Disease Prevalence and Other Risk Factors from Behavioral Risk Factor Surveillance Survey (BRFSS) 2018 or 2017, Census Bureau 2010 census population or annual population estimates for county 2018 or 2017, and American Community Survey (ACS) 2014-2018 or 2013-2017Health Outcomes: arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, mental health not good for >=14 days, physical health not good for >=14 days, all teeth lost and strokePreventive Service Utilization: lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women)Unhealthy Behavior Risk Factors: binge drinking, current smoking, obesity, physical inactivity, and sleeping less than 7 hoursSee original CDC Project map for PLACES (Population Level Analysis and Community Estimates) here.PLACES expands the original 500 Cities project and is a collaboration between the CDC, the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF)

  16. f

    The percentage of persons aged 18–64 years by household telephone status and...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Michelle M. Van Handel; Bernard M. Branson (2023). The percentage of persons aged 18–64 years by household telephone status and select characteristics, NHIS, United States, 2003 and 2013. [Dataset]. http://doi.org/10.1371/journal.pone.0125637.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michelle M. Van Handel; Bernard M. Branson
    License

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

    Area covered
    United States
    Description

    Note. 95% CI = 95% Confidence Interval; HIV = human immunodeficiency virus; NHIS = National Health Interview Surveya Persons in cellphone-only households are respondents living in a household with only a working cellphone. Persons in landline households are respondents living in a household with a working telephone that is not a cellphone. Data not shown for respondents living in a household with no cellphone or landline telephone, which remained relatively stable and

  17. V

    PLACES: Census Tract Data (GIS Friendly Format), 2020 release

    • data.virginia.gov
    • healthdata.gov
    • +2more
    csv, json, rdf, xsl
    Updated Aug 25, 2023
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    Centers for Disease Control and Prevention (2023). PLACES: Census Tract Data (GIS Friendly Format), 2020 release [Dataset]. https://data.virginia.gov/dataset/places-census-tract-data-gis-friendly-format-2020-release
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    csv, rdf, json, xslAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Centers for Disease Control and Prevention
    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.

  18. f

    Characteristics of US adults participating in the 2011 Behavioral Risk...

    • figshare.com
    xls
    Updated Jun 2, 2023
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    Masako Horino; Sze Yan Liu; Eun-Young Lee; Ichiro Kawachi; Roman Pabayo (2023). Characteristics of US adults participating in the 2011 Behavioral Risk Factor Surveillance System (BRFSS) (n = 270,612) and US states (50 states and the District of Columbia). [Dataset]. http://doi.org/10.1371/journal.pone.0238577.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Masako Horino; Sze Yan Liu; Eun-Young Lee; Ichiro Kawachi; Roman Pabayo
    License

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

    Area covered
    Washington, United States
    Description

    Characteristics of US adults participating in the 2011 Behavioral Risk Factor Surveillance System (BRFSS) (n = 270,612) and US states (50 states and the District of Columbia).

  19. V

    PLACES: Place Data (GIS Friendly Format), 2020 release

    • data.virginia.gov
    • healthdata.gov
    • +4more
    csv, json, rdf, xsl
    Updated Aug 25, 2023
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    Centers for Disease Control and Prevention (2023). PLACES: Place Data (GIS Friendly Format), 2020 release [Dataset]. https://data.virginia.gov/dataset/places-place-data-gis-friendly-format-2020-release
    Explore at:
    json, csv, xsl, rdfAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Centers for Disease Control and Prevention
    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.

  20. a

    Cities

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated May 3, 2017
    + more versions
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    Centers for Disease Control and Prevention (2017). Cities [Dataset]. https://hub.arcgis.com/maps/cdcarcgis::cities
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    Dataset updated
    May 3, 2017
    Dataset authored and provided by
    Centers for Disease Control and Prevention
    Area covered
    Description

    This service provides 500 Cities Project 2016 data release based on 2014, 2013 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 (2014, 2013), Census Bureau 2010 census population data, and American Community Survey (ACS) 2010-2014, 2009-2013 estimates. For more information about the methodology, visit https://www.cdc.gov/500cities or contact 500Cities@cdc.gov.

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health.data.ny.gov (2025). Behavioral Risk Factor Surveillance Survey: 2013 [Dataset]. https://healthdata.gov/State/Behavioral-Risk-Factor-Surveillance-Survey-2013/s4ja-qsrz
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Behavioral Risk Factor Surveillance Survey: 2013

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10 scholarly articles cite this dataset (View in Google Scholar)
csv, application/rdfxml, json, tsv, application/rssxml, xmlAvailable download formats
Dataset updated
Apr 8, 2025
Dataset provided by
health.data.ny.gov
Description

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information, check out http://www.health.ny.gov/statistics/brfss/.

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