32 datasets found
  1. T

    County Health Rankings 2023

    • internal.chattadata.org
    • chattadata.org
    application/rdfxml +5
    Updated Dec 28, 2023
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    (2023). County Health Rankings 2023 [Dataset]. https://internal.chattadata.org/Public-Health/County-Health-Rankings-2023/tqjy-2yx2
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    csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Dec 28, 2023
    Description

    Data is coming from TN 2023 County Health Rankings public datasets https://www.countyhealthrankings.org/explore-health-rankings/tennessee/data-and-resources

  2. T

    County Health Rankings

    • data.everettwa.gov
    application/rdfxml +5
    Updated Feb 10, 2023
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    (2023). County Health Rankings [Dataset]. https://data.everettwa.gov/w/ticz-v6ug/kjgx-fryt?cur=3QbcNQa-56m
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    csv, application/rdfxml, json, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Feb 10, 2023
    Description

    Key population health variables from the County Health Rankings. Includes results on premature death, general mental health, adult smoking, and adult obesity. More information on the County Health Rankings available at: http://www.countyhealthrankings.org/

  3. v

    County Health Rankings 2020 - State

    • anrgeodata.vermont.gov
    • geodata.fnai.org
    Updated Dec 9, 2022
    + more versions
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    kc279_georgetownuniv9 (2022). County Health Rankings 2020 - State [Dataset]. https://anrgeodata.vermont.gov/documents/be633021efcc46b093502ba449b2c7ae
    Explore at:
    Dataset updated
    Dec 9, 2022
    Dataset authored and provided by
    kc279_georgetownuniv9
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Some new features of the 2020 Rankings data compared to previous versions:More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska NativeReliability flags that to flag an estimate as unreliable5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volumeData Processing Notes:Data downloaded March 2020Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

  4. 2021 County Health Rankings National Data

    • kaggle.com
    Updated Jun 16, 2021
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    Saheb Samanta (2021). 2021 County Health Rankings National Data [Dataset]. https://www.kaggle.com/datasets/sahebsamanta/2021-county-health-rankings-national-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 16, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Saheb Samanta
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Dataset

    This dataset was created by Saheb Samanta

    Released under U.S. Government Works

    Contents

  5. O

    County Health Rankings Data

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Jul 25, 2023
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    (2023). County Health Rankings Data [Dataset]. https://opendata.ramseycounty.us/Public-Health/County-Health-Rankings-Data/pe96-x8yw
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    application/rdfxml, csv, tsv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    A program of the University of Wisconsin Population Health Institute

    This file contains the ranks and scores for Ramsey County for the 2023 and 2022 County Health Rankings.

    For additional information about how the County Health Rankings are calculated, please visit www.countyhealthrankings.org

  6. C

    Low Birth-Weight Rate

    • data.ccrpc.org
    csv
    Updated Dec 1, 2023
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    Champaign County Regional Planning Commission (2023). Low Birth-Weight Rate [Dataset]. https://data.ccrpc.org/ar/dataset/low-birth-weight-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 1, 2023
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The low birth-weight rate measures the percentage of live births with weights below 2500 grams. A low birth-weight can affect health outcomes later in life, and is an illustrative indicator for the overall health of the measured population.

    The low birth-weight rate in Champaign County has been above 8 percent since 2011, the earliest Reporting Year available in the dataset. This is close to the statewide rate, which returned to 8.4 percent from Reporting Year 2021 through present after a slight decrease in recent years. The lowest county low birth-weight rate in the state is 5.6 percent (Carroll County in the northwest corner of the state), while the highest county low birth-weight rate in the state is 11.9 percent (Pulaski County in southernmost Illinois).

    This data was sourced from the University of Wisconsin's Population Health Institute's and the Robert Wood Johnson Foundation’s County Health Rankings & Roadmaps. Each year’s County Health Rankings uses data from years prior. Therefore, the 2023 County Health Rankings (“Reporting Year” in the table) uses data from 2014-2020 (“Data Years” in the table).

    Source: University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2023.

  7. C

    Adult Obesity Rate

    • data.ccrpc.org
    csv
    Updated Dec 11, 2024
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    Champaign County Regional Planning Commission (2024). Adult Obesity Rate [Dataset]. https://data.ccrpc.org/am/dataset/adult-obesity-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The adult obesity rate, or the percentage of the county population (age 18 and older*) that is obese, or has a Body Mass Index (BMI) equal to or greater than 30 [kg/m2], is illustrative of a serious health problem, in Champaign County, statewide, and nationally.

    The adult obesity rate data shown here spans from Reporting Years (RY) 2015 to 2024. Champaign County’s adult obesity rate fluctuated during this time, peaking in RY 2022. The adult obesity rates for Champaign County, Illinois, and the United States were all above 30% in RY 2024, but the Champaign County rate was lower than the state and national rates. All counties in Illinois had an adult obesity rate above 30% in RY 2024, but Champaign County's rate is one of the lowest among all Illinois counties.

    Obesity is a health problem in and of itself, and is commonly known to exacerbate other health problems. It is included in our set of indicators because it can be easily measured and compared between Champaign County and other areas.

    This data was sourced from the University of Wisconsin’s Population Health Institute’s and the Robert Wood Johnson Foundation’s County Health Rankings & Roadmaps. Each year’s County Health Rankings uses data from the most recent previous years that data is available. Therefore, the 2024 County Health Rankings (“Reporting Year” in the table) uses data from 2021 (“Data Year” in the table). The survey methodology changed in Reporting Year 2015 for Data Year 2011, which is why the historical data shown here begins at that time. No data is available for Data Year 2018. The County Health Rankings website notes to use caution if comparing RY 2024 data with prior years.

    *The percentage of the county population measured for obesity was age 20 and older through Reporting Year 2021, but starting in Reporting Year 2022 the percentage of the county population measured for obesity was age 18 and older.

    Source: University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2024. www.countyhealthrankings.org.

  8. County Health Rankings

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    Updated Jun 13, 2023
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    Robert Wood Johnson Foundation (2023). County Health Rankings [Dataset]. https://open.piercecountywa.gov/Health-and-Human-Services/County-Health-Rankings/mzcd-rv3c
    Explore at:
    csv, application/rdfxml, xml, tsv, kml, application/geo+json, application/rssxml, kmzAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset authored and provided by
    Robert Wood Johnson Foundationhttp://www.rwjf.org/
    Description

    Data from County Health Rankings and Roadmaps, a Robert Wood Johnson Foundation program. The County Health Rankings & Roadmaps program is a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute.

    The goals of the program are to: - Build awareness of the multiple factors that influence health
    - Provide a reliable, sustainable source of local data and evidence to communities to help them identify opportunities to improve their health - Engage and activate local leaders from many sectors in creating sustainable community change, and - Connect & empower community leaders working to improve health.

  9. County Health Rankings 2022

    • atlas-connecteddmv.hub.arcgis.com
    Updated Aug 29, 2022
    + more versions
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    Esri (2022). County Health Rankings 2022 [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/3a684a0851e74ff1b55225dbdfde78b4
    Explore at:
    Dataset updated
    Aug 29, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.Some new variables in the 2022 Rankings data compared to previous versions:COVID-19 age-adjusted mortalitySchool segregationSchool funding adequacyGender pay gapChildcare cost burdenChildcare centersLiving wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).Data Processing Notes:Data downloaded April 2022Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Ratios were set to null if negative to make them easier to work with in the map.For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

  10. d

    United States County Level County Health Rankings, 2023

    • search.dataone.org
    Updated Nov 8, 2023
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    Wiemken, Timothy (2023). United States County Level County Health Rankings, 2023 [Dataset]. http://doi.org/10.7910/DVN/FGSVXG
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wiemken, Timothy
    Description

    A curated version of the University of Wisconsin 2023 County Health Rankings data. A version of the county health rankings download is included for data dictionary use.

  11. a

    SBLA Physical Health Indicators

    • hub.arcgis.com
    • equity-lacounty.hub.arcgis.com
    Updated Sep 23, 2022
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    County of Los Angeles (2022). SBLA Physical Health Indicators [Dataset]. https://hub.arcgis.com/maps/lacounty::sbla-physical-health-indicators
    Explore at:
    Dataset updated
    Sep 23, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table_name indicator_name Universe source timeframe source_url

    life_expectancy_countyhealthrankings_2020 Life Expectancy Total Population County Health Rankings 2018-2020 https://www.countyhealthrankings.org/app/california/2022/measure/outcomes/147/data

    obese_est_adult_lachs_2018 Obese Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    obese_perc_adult_lachs_2018 Obese Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    overweight_est_adult_lachs_2018 Overweight Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    overweight_perc_adult_lachs_2018 Overweight Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    diabetes_est_adult_lachs_2018 Ever Diagnosed with Diabetes Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    diabetes_perc_adult_lachs_2018 Ever Diagnosed with Diabetes Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    regular_source_of_care_est_adult_lachs_2018 Reported Having a Regular Source of Health Care Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    regular_source_of_care_perc_adult_lachs_2018 Reported Having a Regular Source of Health Care Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    depression_est_adult_lachs_2018 Ever Diagnosed with Depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    depression_perc_adult_lachs_2018 Ever Diagnosed with Depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    perceived_safe_est_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    perceived_safe_perc_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    dental_care_est_child_lachs_2018 Had Dental Care within the past Year Estimate (#) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    dental_care_perc_child_lachs_2018 Had Dental Care within the past Year Percent (%) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    no_usual_source_est_chis_2020 No usual source of care Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    no_usual_source_perc_chis_2020 No usual source of care Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    delayed_care_est_chis_2020 Delayed or didn't get medical care last year Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    delayed_care_est_chis_2020 Delayed or didn't get medical care last year Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    covid_vax_one_or_more_est_2022 COVID-19 Vaccination 1+ Dose Estimate (#) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_perc_2022 COVID-19 Vaccination 1+ Dose Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_full_est_2022 COVID-19 Fully Vaccinated Estimate (#) Population 6 months and older LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_full_perc_2022 COVID-19 Fully Vaccinated Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_children_est_2022 COVID-19 Vaccination 1+ Dose - Children under 5 Estimate (#) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_children_perc_2022 COVID-19 Vaccination 1+ Dose Children under 5 Percent (%) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_youth_est_2022 COVID-19 Vaccination 1+ Dose - Youth 5-17 Estimate (#) Population 5-17 years LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_youth_perc_2022 COVID-19 Vaccination 1+ Dose Youth 5-17 Percent (%) Population 5-17 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_adults_est_2022 COVID-19 Vaccination 1+ Dose - Adults Estimate (#) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_adults_perc_2022 COVID-19 Vaccination 1+ Dose Adults Percent (%) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    insured_pop_est_acs_2020 Insured population # Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

    insured_pop_perc_acs_2020 Insured population % Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

    mch_indicators_2019 Babies Born with Positive MCH Indicators Babies born in time frame Strong Start Index 2016-2019 https://infogram.com/1pj576jwy166z1s6ywvk32l5lkammrym3wy?live

    current_asthma Percent of Adults (Ages 18 Years and Older) with Current Asthma Adults Los Angeles County Health Survey 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

    no_med_insurance Percent of Insured Adults (Ages 18 Years and Older) Who Reported a Time Without Medical Insurance in the past 12 Months. Adults Los Angeles County Health Survey 2011 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

    transportation_problems Percent of Adults (Ages 18 Years and Older) Who Reported That Transportation Problems Kept Them from Obtaining Needed Medical Care in the past Year. Adults Los Angeles County Health Survey 2007 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

  12. v

    County Health Rankings 2020

    • anrgeodata.vermont.gov
    • covid-hub.gio.georgia.gov
    • +4more
    Updated Apr 24, 2023
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    cf2977oe (2023). County Health Rankings 2020 [Dataset]. https://anrgeodata.vermont.gov/datasets/4fdb2c0e7753484a81e16482dbe2429b
    Explore at:
    Dataset updated
    Apr 24, 2023
    Dataset authored and provided by
    cf2977oe
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2020 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Some new features of the 2020 Rankings data compared to previous versions:More race/ethnicity categories, including Asian/Pacific Islander and American Indian/Alaska NativeReliability flags that to flag an estimate as unreliable5 new variables: math scores, reading scores, juvenile arrests, suicides, and traffic volumeData Processing Notes:Data downloaded March 2020Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.For demographic variables only, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.

  13. County Health Rankings Data for Table - RWJ Report

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    application/rdfxml +5
    Updated Jun 13, 2024
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    Robert Wood Johnson Foundation (2024). County Health Rankings Data for Table - RWJ Report [Dataset]. https://open.piercecountywa.gov/Health-and-Human-Services/County-Health-Rankings-Data-for-Table-RWJ-Report/uuki-hmnq
    Explore at:
    application/rssxml, json, csv, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Robert Wood Johnson Foundationhttp://www.rwjf.org/
    Description

    Ranked measure data.

  14. T

    2022 County Health Rankings Ranked Measures

    • data.countyofnapa.org
    application/rdfxml +5
    Updated Dec 29, 2022
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    (2022). 2022 County Health Rankings Ranked Measures [Dataset]. https://data.countyofnapa.org/w/mhir-22m3/default?cur=GPBBOuWuged&from=2-QbpBhM4Xh
    Explore at:
    csv, xml, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Dec 29, 2022
    Description

    County Health Ranking and Roadmap

  15. T

    Adult Obesity Rates By County In Utah 2010-2016

    • opendata.utah.gov
    application/rdfxml +5
    Updated Mar 16, 2016
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    CountyHealthRankings.org (2016). Adult Obesity Rates By County In Utah 2010-2016 [Dataset]. https://opendata.utah.gov/Health/Adult-Obesity-Rates-By-County-In-Utah-2010-2016/ynme-hu3g
    Explore at:
    tsv, xml, application/rssxml, csv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 16, 2016
    Dataset provided by
    CountyHealthRankings.org
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    This data set contains the annual Adult Obesity Rates by county for Utah. County rankings measure vital health factors, including high school graduation rates, obesity, smoking, unemployment, access to healthy foods, the quality of air and water, income, and teen births in nearly every county in Utah. The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work and play.

  16. a

    2022 County Health Rankings

    • impactmap-smudallas.hub.arcgis.com
    Updated Feb 7, 2024
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    SMU (2024). 2022 County Health Rankings [Dataset]. https://impactmap-smudallas.hub.arcgis.com/datasets/2022-county-health-rankings
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    Dataset updated
    Feb 7, 2024
    Dataset authored and provided by
    SMU
    Area covered
    Description

    This feature layer contains 2022 County Health Rankings data for nation, states, and counties. Includes measures of health factors (e.g., uninsured, child poverty, physical inactivity) & health outcomes (e.g., life expectancy, low birth weight).

  17. T

    Binge Drinking By County In Utah 2010-2016

    • opendata.utah.gov
    application/rdfxml +5
    Updated Mar 16, 2016
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    CountyHealthRankings.org (2016). Binge Drinking By County In Utah 2010-2016 [Dataset]. https://opendata.utah.gov/Health/Binge-Drinking-By-County-In-Utah-2010-2016/wxxk-ar7d
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    xml, json, csv, application/rdfxml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Mar 16, 2016
    Dataset provided by
    CountyHealthRankings.org
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    This data set contains the annual Binge Drinking by County for Utah. County rankings measure vital health factors, including high school graduation rates, obesity, smoking, unemployment, access to healthy foods, the quality of air and water, income, and teen births in nearly every county in Utah. The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work and play.

  18. T

    Children In Poverty By County In Utah 2010-2016

    • opendata.utah.gov
    application/rdfxml +5
    Updated Mar 17, 2016
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    CountyHealthRankings.org (2016). Children In Poverty By County In Utah 2010-2016 [Dataset]. https://opendata.utah.gov/Health/Children-In-Poverty-By-County-In-Utah-2010-2016/yhqs-np56
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    xml, csv, tsv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Mar 17, 2016
    Dataset provided by
    CountyHealthRankings.org
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    This data set contains the annual Children in Poverty by County in for Utah. County rankings measure vital health factors, including high school graduation rates, obesity, smoking, unemployment, access to healthy foods, the quality of air and water, income, and teen births in nearly every county in Utah. The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work and play.

  19. Where should we focus on improving life expectancy?

    • data.amerigeoss.org
    esri rest, html
    Updated Jun 23, 2020
    + more versions
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    ESRI (2020). Where should we focus on improving life expectancy? [Dataset]. https://data.amerigeoss.org/dataset/where-should-we-focus-on-improving-life-expectancy
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    esri rest, htmlAvailable download formats
    Dataset updated
    Jun 23, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This multi-scale map shows life expectancy - a widely-used measure of health and mortality. From the 2020 County Health Rankings page about Life Expectancy:


    "Life Expectancy is an Average

    Life Expectancy measures the average number of years from birth a person can expect to live, according to the current mortality experience (age-specific death rates) of the population. Life Expectancy takes into account the number of deaths in a given time period and the average number of people at risk of dying during that period, allowing us to compare data across counties with different population sizes.

    Life Expectancy is Age-Adjusted

    Age is a non-modifiable risk factor, and as age increases, poor health outcomes are more likely. Life Expectancy is age-adjusted in order to fairly compare counties with differing age structures.

    What Deaths Count Toward Life Expectancy?

    Deaths are counted in the county where the individual lived. So, even if an individual dies in a car crash on the other side of the state, that death is attributed to his/her home county.

    Some Data are Suppressed

    A missing value is reported for counties with fewer than 5,000 population-years-at-risk in the time frame.

    Measure Limitations

    Life Expectancy includes mortality of all age groups in a population instead of focusing just on premature deaths and thus can be dominated by deaths of the elderly.[1] This could draw attention to areas with higher mortality rates among the oldest segment of the population, where there may be little that can be done to change chronic health problems that have developed over many years. However, this captures the burden of chronic disease in a population better than premature death measures.[2]

    Furthermore, the calculation of life expectancy is complex and not easy to communicate. Methodologically, it can produce misleading results caused by hidden differences in age structure, is sensitive to infant and child mortality, and tends to be overestimated in small populations."

    Breakdown by race/ethnicity in pop-up:


    There are many factors that play into life expectancy: rates of noncommunicable diseases such as cancer, diabetes, and obesity, prevalence of tobacco use, prevalence of domestic violence, and many more.

    Data from County Health Rankings 2020 (in this layer and referenced below), available for nation, state, and county, and available in ArcGIS Living Atlas of the World

  20. 2020 County Health Rankings

    • performance-data-integration-space-fdot.hub.arcgis.com
    Updated Aug 10, 2023
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    Florida Department of Transportation (2023). 2020 County Health Rankings [Dataset]. https://performance-data-integration-space-fdot.hub.arcgis.com/datasets/2020-county-health-rankings
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    Dataset updated
    Aug 10, 2023
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Description

    The Florida Department of Transportation (FDOT or Department) has identified processed, authoritative datasets to support the preliminary spatial analysis of equity considerations. These processed datasets are available at larger geographies, such as the United States Census Bureau tract or county-level; however, additional raw datasets from other sources can be used to identify equity considerations. Most of this raw data is available at the Census block group, parcel, or point-level—but additional processing is required to make suitable for spatial analysis. For more information, contact Dana Reiding with the FDOT Forecasting and Trends Office (FTO). The 2020 County Health Rankings layer is identified to support the equity community indicator of health. The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. The rankings include measures of health factors (e.g., uninsured, child poverty, physical inactivity) and health outcomes (e.g., life expectancy, low birth weight). The layer is owned and managed by the ESRI Demographics Team. Data Link: https://www.arcgis.com/home/item.html?id=c514eddc6d584e85bc2f90be25305fc8 Available Geography Levels: Country, State, County Owner/Managed By: ESRI Demographics FDOT Point of Contact: Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719

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(2023). County Health Rankings 2023 [Dataset]. https://internal.chattadata.org/Public-Health/County-Health-Rankings-2023/tqjy-2yx2

County Health Rankings 2023

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30 scholarly articles cite this dataset (View in Google Scholar)
csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
Dataset updated
Dec 28, 2023
Description

Data is coming from TN 2023 County Health Rankings public datasets https://www.countyhealthrankings.org/explore-health-rankings/tennessee/data-and-resources

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