Others titles

  • US Counties Ranking By Determinants Of Health And Health Outcomes
  • US Counties Determinants Of Health And Health Outcomes Ranking

Keywords

  • County Health Rankings
  • Determinants Of Health
  • Health Outcomes Measures
  • Ranking By Length of Life
  • Ranking Quality of Life
  • Ranking Health Behavior
  • Ranking By Clinical Care
  • Ranking By Socioeconomic Factors
  • Ranking By Physical Environment
  • FIPS County Codes

US Counties Ranks By Health Outcomes And Determinants 2010-2019

The dataset contains US counties ranking data based on measures of health outcomes and health determinants. The measures used to establish counties ranks are related to length and quality of life for health outcomes and to health behavior, clinical care, socioeconomic and physical environment factors for health determinants. US counties are described along with their FIPS (Federal Information Processing Standard) code and the US state they belong.

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Description

Using America’s Health Rankings, University of Wisconsin Population Health Institute is providing every year since 2010, for nearly every county in US health ranking data. The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work, and play. They provide a starting point for change in communities.

The counties health rankings are based on counties and county equivalents (ranked places). Any entity that has its own FIPS county code was included in the rankings. The data are only for counties and county equivalents within a state and the major goal of the rankings is to raise awareness about the many factors that influence health and that health varies from place to place. Counties in each of the 50 states are ranked according to summaries of a variety of health measures. Those having high ranks, e.g. 1 or 2, are considered to be the “healthiest.” Counties are ranked relative to the health of other counties in the same state. Most of the data used was public data available at no charge. Measures based on vital statistics data, sexually transmitted disease rates, and Behavioral Risk Factor Surveillance System (BRFSS) survey data were calculated for this project by staff at the National Center for Health Statistics and other units of the Centers for Disease Control and Prevention (CDC). The health care quality measures included were calculated by the authors of the Dartmouth Atlas of Healthcare, using Medicare claims data. In many ranked counties, some individual measures do not have a large enough sample size to report data for that measure. In these counties, the state average was assigned for any missing measure in order to calculate a rank for that category.

The measures were standardized within each state to the average of counties in that state and a Z-score was obtained for each county. Each Z-score is relative to the other counties in that state and shown in the metric of standard deviations. A positive Z-score indicates a value higher than the average of counties in that state; a negative Z-score indicates a value for that county lower than the average of counties in that state. For counties with a population of 20,000 or less, any z-score that is 3.0 was truncated to -3.0 or 3.0, respectively. For most of the measures, a higher Z-score score indicates poorer health. However, for some of measures (e.g., high school graduation) a higher score indicates better health or a more desirable value. For these measures was computed the Z-score as usual but multiplied by -1, so that higher scores indicate poorer health. The scores computed are weighted composites of the Z-scores for individual measures where the weights represent relative importance of the different measures chosen by authors. The weighted composite was computed by multiplying each Z-score by its weight and adding them up. After computation, the composite scores were sorted from lowest to highest within each state. The lowest score (best health) got a rank of 1 for that state and the highest score (worst health) got whatever rank corresponds to the number of units were ranked in that state. To de-emphasize the differences between individual county ranks, counties were at the same time grouped into quartiles according to their Health Outcomes and Health Determinants ranks separately. For each set of ranks there are four quartiles that divide up all the units within the state into the top 25%, the second from top 25%, the second from bottom 25%, and the bottom 25%. The top 25% are the healthiest counties with the best ranks, the bottom 25% are the least healthy counties with the worst ranks, and the other two quartiles are in between.

About this Dataset

Data Info

Date Created

2010

Last Modified

2019

Version

2019

Update Frequency

Annual

Temporal Coverage

2010-2019

Spatial Coverage

United States

Source

John Snow Labs; University of Wisconsin Population Health Institute, County Health Rankings & Roadmaps;

Source License URL

Source License Requirements

Publicly available and free for research application but citation is required. Permission asked for commercial uses

Source Citation

University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2017.

Keywords

County Health Rankings, Determinants Of Health, Health Outcomes Measures, Ranking By Length of Life, Ranking Quality of Life, Ranking Health Behavior, Ranking By Clinical Care, Ranking By Socioeconomic Factors, Ranking By Physical Environment, FIPS County Codes

Other Titles

US Counties Ranking By Determinants Of Health And Health Outcomes, US Counties Determinants Of Health And Health Outcomes Ranking

Data Fields

Name Description Type Constraints
County_Health_Rankings_Release_YearThe year when the County Health Rankings project results were released, including the additional measures datadate-
StateThe US state where the county is locatedstring-
CountyThe US county or county equivalent to which the ranks of health determinants and health outcomes measures are correspondingstring-
FIPS_CodeThe 5-digit Federal Information Processing Standard code of the county or county equivalentstring-
Number_Of_Ranked_CountiesThe number of counties and county equivalent areas from a state on which the ranking process is basedintegerlevel : Ratio
Overall_Health_Status_RankThe rank of the specified county within a state with regard to the overall health status measures of the inhabitantsintegerlevel : Ordinal
Overall_Health_Status_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the overall health status)integerlevel : Ordinal
Overall_Determinants_Of_Health_RankThe rank of the specified county within a state with regard to the overall determinants of health measures of the inhabitantsintegerlevel : Ordinal
Overall_Determinants_Of_Health_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the determinants of health)integerlevel : Ordinal
Length_Of_Life_RankThe rank of the specified county within a state with regard to the length of life measures of the inhabitantsintegerlevel : Ordinal
Length_Of_Life_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the length of life measures)integerlevel : Ordinal
Quality_Of_Life_RankThe rank of the specified county within a state with regard to the quality of life measures of the inhabitantsintegerlevel : Ordinal
Quality_Of_Life_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the quality of life measures)integerlevel : Ordinal
Health_Behaviors_RankThe rank of the specified county within a state with regard to the health behaviors measures of the inhabitantsintegerlevel : Ordinal
Health_Behaviors_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the health behaviors measures)integerlevel : Ordinal
Clinical_Care_RankThe rank of the specified county within a state with regard to the clinical care measures of the inhabitantsintegerlevel : Ordinal
Clinical_Care_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the clinical care measures)integerlevel : Ordinal
Social_Economic_Determinants_RankThe rank of the specified county within a state with regard to the socioeconomic determinants measures of the inhabitantsintegerlevel : Ordinal
Social_Economic_Determinants_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the socioeconomic determinants measures)integerlevel : Ordinal
Physical_Environment_RankThe rank of the specified county within a state with regard to the physical environment determinants measures of the inhabitantsintegerlevel : Ordinal
Physical_Environment_QuartileThe quartile to which the specified county rank belongs to, among ranks of the counties belonging to same state (with regard to the physical environment determinants measures)integerlevel : Ordinal
Premature_Deaths_Under_75_Years_OldThe number of premature deaths; deaths of county inhabitants with age under 75 years old according to National Center for CDC, Health Statistics, Mortality filesintegerlevel : Ratio
Age_Adjusted_Years_Of_Potential_Life_Lost_RateThe age-adjusted years of potential life lost rate per 100,000 inhabitants for the specified county, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Confidence_Interval_95_Low_Years_Of_Potential_Life_LostThe lower value of the confidence interval corresponding to the specified value for the age-adjusted years of potential life lost rate, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Confidence_Interval_95_High_Years_Of_Potential_Life_LostThe upper value of the confidence interval corresponding to the specified value for the age-adjusted years of potential life lost rate, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Quartile_Years_Of_Potential_Life_LostThe quartile to which the specified level of the age-adjusted years of potential life lost rate belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Age_Adjusted_Years_Of_Potential_Life_Lost_Rate_BlackThe age-adjusted years of potential life lost rate for Black people per 100,000 inhabitants for the specified county, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Age_Adjusted_Years_Of_Potential_Life_Lost_Rate_HispanicThe age-adjusted years of potential life lost rate for Hispanic people per 100,000 inhabitants for the specified county, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Age_Adjusted_Years_Of_Potential_Life_Lost_Rate_WhiteThe age-adjusted years of potential life lost rate for White people per 100,000 inhabitants for the specified county, according to CDC, National Center for Health Statistics, Mortality filesintegerlevel : Ratio
Percent_Of_Adults_With_Fair_Or_Poor_HealthThe age-adjusted percentage of adults reporting fair or poor health, according to BRFSS dataintegerlevel : Ratio
Confidence_Interval_95_Low_Fair_Or_Poor_HealthThe lower value of the confidence interval corresponding to the specified value for the age-adjusted percentage of adults reporting fair or poor health, according to BRFSS dataintegerlevel : Ratio
Confidence_Interval_95_High_Fair_Or_Poor_HealthThe upper value of the confidence interval corresponding to the specified value for the age-adjusted percentage of adults reporting fair or poor health, according to BRFSS dataintegerlevel : Ratio
Quartile_Fair_Or_Poor_HealthThe quartile to which the specified level of the age-adjusted percentage of adults reporting fair or poor health, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Average_Physically_Unhealthy_DaysThe age-adjusted average number of physically unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Confidence_Interval_95_Low_Physically_Unhealthy_DaysThe lower value of the confidence interval corresponding to the specified value for the age-adjusted average number of physically unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Confidence_Interval_95_High_Physically_Unhealthy_DaysThe upper value of the confidence interval corresponding to the specified value for the age-adjusted average number of physically unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Quartile_Physically_Unhealthy_DaysThe quartile to which the specified level of the age-adjusted average number of physically unhealthy days reported in past 30 days, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Average_Mentally_Unhealthy_DaysThe age-adjusted average number of mentally unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Confidence_Interval_95_Low_Mentally_Unhealthy_DaysThe lower value of the confidence interval corresponding to the specified value for the age-adjusted average number of mentally unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Confidence_Interval_95_High_Mentally_Unhealthy_DaysThe upper value of the confidence interval corresponding to the specified value for the age-adjusted average number of mentally unhealthy days reported in past 30 days, according to BRFSS datanumberlevel : Ratio
Quartile_Mentally_Unhealthy_DaysThe quartile to which the specified level of the age-adjusted average number of mentally unhealthy days reported in past 30 days, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Low_Birthweight_BirthsThe number of low birth-weight (under 2,500 grams), according to CDC, National Center for Health Statistics, Natality filesintegerlevel : Ratio
Live_BirthsThe number of live births, according to CDC, National Center for Health Statistics, Natality filesintegerlevel : Ratio
Is_Low_Birthweight_UnreliableIndicate were data for low birthweight was marked as unreliableboolean-
Percent_Of_Low_Birthweight_BirthsThe percentage of live births with low birth-weight (under 2,500 grams) for the specified county, according to CDC, National Center for Health Statistics, Natality filesnumberlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Low_Birthweight_BirthsThe lower value of the confidence interval corresponding to the specified value for the percentage of live births with low birth-weight, according to CDC, National Center for Health Statistics, Mortality files; for values of low birth-weight under 20, considered unreliable, the confidence interval limits were not includednumberlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Low_Birthweight_BirthsThe upper value of the confidence interval corresponding to the specified value for the percentage of live births with low birth-weight, according to CDC, National Center for Health Statistics, Mortality files; for values of low birth-weight under 20, considered unreliable, the confidence interval limits were not includednumberlevel : Ratio
Quartile_Percent_Of_Low_Birthweight_BirthsThe quartile to which the specified level of the percentage of live births with low birth-weight belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Low_Birthweight_Births_BlackThe percentage of live births with low birth-weight (under 2,500 grams) for Black people for the specified county, according to CDC, National Center for Health Statistics, Natality filesintegerlevel : Ratio
Percent_Of_Low_Birthweight_Births_HispanicThe percentage of live births with low birth-weight (under 2,500 grams) for Hispanic people for the specified county, according to CDC, National Center for Health Statistics, Natality filesintegerlevel : Ratio
Percent_Of_Low_Birthweight_Births_WhiteThe percentage of live births with low birth-weight (under 2,500 grams) for White people for the specified county, according to CDC, National Center for Health Statistics, Natality filesintegerlevel : Ratio
Percent_Of_Adults_SmokersThe percentage of adults who are current smokers, according to BRFSS dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Adults_SmokersThe lower value of the confidence interval corresponding to the specified value for the percentage of adults who are current smokers, according to BRFSS dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Adults_SmokersThe upper value of the confidence interval corresponding to the specified value for the percentage of adults who are current smokers, according to BRFSS dataintegerlevel : Ratio
Quartile_Percent_Of_Adults_SmokersThe quartile to which the specified level of the percentage of adults who are current smokers, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Obese_AdultsThe percentage of adults that report a BMI of 30 or more, according to CDC, Diabetes Interactive Atlas dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Obese_AdultsThe lower value of the confidence interval corresponding to the specified value for the percentage of adults that report a BMI of 30 or more, according to CDC, Diabetes Interactive Atlas dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Obese_AdultsThe upper value of the confidence interval corresponding to the specified value for the percentage of adults that report a BMI of 30 or more, according to CDC, Diabetes Interactive Atlas dataintegerlevel : Ratio
Quartile_Percent_Of_Obese_AdultsThe quartile to which the specified level of the percentage of adults that report a BMI of 30 or more, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Food_Environment_IndexThe index of factors that contribute to a healthy food environment, 0 (worst) to 10 (best), according to USDA Food Environment Atlas, Map the Meal Gapnumberlevel : Ordinal
Quartile_Food_Environment_IndexThe quartile to which the specified level of the food environment index, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Physically_Inactive_AdultsThe percentage of adults aged 20 and over reporting no leisure-time physical activity, according to CDC (Diabetes Interactive Atlas) dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Physically_Inactive_AdultsThe lower value of the confidence interval corresponding to the specified value for the percentage of adults aged 20 and over reporting no leisure-time physical activity, according to CDC, Diabetes Interactive Atlas dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Physically_Inactive_AdultsThe upper value of the confidence interval corresponding to the specified value for the percentage of adults aged 20 and over reporting no leisure-time physical activity, according to CDC, Diabetes Interactive Atlas dataintegerlevel : Ratio
Quartile_Percent_Physically_Inactive_AdultsThe quartile to which the specified level of the percentage of adults aged 20 and over reporting no leisure-time physical activity, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_With_Access_To_Exercise_OpportunitiesThe percentage of population with adequate access to locations for physical activity, according to Business Analyst, Delorme map data, ESRI and US Census Bureau, Tigerline Files dataintegerlevel : Ratio
Quartile_Access_To_Exercise_OpportunitiesThe quartile to which the specified level of the percentage of population with adequate access to locations for physical activity, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Excessive_DrinkingThe percentage of adults reporting binge or heavy drinking, according to BRFSS (Behavioral Risk Factor Surveillance System) dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Excessive_DrinkingThe lower value of the confidence interval corresponding to the specified value for the percentage of adults reporting binge or heavy drinking, according to BRFSS (Behavioral Risk Factor Surveillance System) dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Excessive_DrinkingThe upper value of the confidence interval corresponding to the specified value for the percentage of adults reporting binge or heavy drinking, according to BRFSS (Behavioral Risk Factor Surveillance System) dataintegerlevel : Ratio
Quartile_Percent_Of_Excessive_DrinkingThe quartile to which the specified level of the percentage of adults reporting binge or heavy drinking, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Alcohol_Impaired_Driving_DeathsThe number of motor vehicle driving deaths with alcohol involvement, according to US Department of Transportation, Fatality Analysis Reporting System dataintegerlevel : Ratio
Driving_DeathsThe number of motor vehicle driving deaths, according to US Department of Transportation, Fatality Analysis Reporting System dataintegerlevel : Ratio
Percent_Of_Alcohol_Impaired_Driving_DeathsThe percentage of motor vehicle driving deaths with alcohol involvement for the specified county, according to US Department of Transportation, Fatality Analysis Reporting System dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Alcohol_ImpairedThe lower value of the confidence interval corresponding to the specified value for the percentage of motor vehicle driving deaths with alcohol involvement, according to US Department of Transportation, Fatality Analysis Reporting System dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Alcohol_ImpairedThe upper value of the confidence interval corresponding to the specified value for the percentage of motor vehicle driving deaths with alcohol involvement, according to US Department of Transportation, Fatality Analysis Reporting System dataintegerlevel : Ratio
Quartile_Percent_Of_Alcohol_ImpairedThe quartile to which the specified level of the percentage of motor vehicle driving deaths with alcohol involvement, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Chlamydia_CasesThe number of newly diagnosed chlamydia cases, according to National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention dataintegerlevel : Ratio
Chlamydia_IncidenceThe incidence chlamydia cases per 100,000 population, according to National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention datanumberlevel : Ratio
Quartile_Chlamydia_IncidenceThe quartile to which the specified level of the incidence chlamydia cases, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Teen_BirthsThe number of teen births (ages 15-19 years old), according to National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Teen_PopulationThe number of female population ages 15-19 years old, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Teen_Birth_RateTeen birth rate per 1,000 female population, ages 15-19 for the specified county, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Confidence_Interval_95_Low_Teen_Birth_RateThe lower value of the confidence interval corresponding to the specified value for the teen birth rate per 1,000 female population, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Confidence_Interval_95_High_Teen_Birth_RateThe upper value of the confidence interval corresponding to the specified value for the teen birth rate per 1,000 female population, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Quartile_Teen_Birth_Crude_RateThe quartile to which the specified level of the teen birth rate per 1,000 female population, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Teen_Birth_Rate_BlackTeen birth rate per 1,000 Black female population, ages 15-19 for the specified county, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Teen_Birth_Rate_HispanicTeen birth rate per 1,000 Hispanic female population, ages 15-19 for the specified county, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Teen_Birth_Rate_WhiteTeen birth rate per 1,000 White female population, ages 15-19 for the specified county, according to CDC, National Center for Health Statistics, Natality files dataintegerlevel : Ratio
Uninsured_Under_65The number of people under age 65 without health insurance, according to US Census Bureau, Small Area Health Insurance Estimates dataintegerlevel : Ratio
Percent_Of_Uninsured_Under_65The percentage of population under age 65 without health insurance for the specified county, according to US Census Bureau, Small Area Health Insurance Estimates dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Uninsured_Under_65The lower value of the confidence interval corresponding to the specified value for the percentage of population under age 65 without health insurance, according to US Census Bureau, Small Area Health Insurance Estimates dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Uninsured_Under_65The upper value of the confidence interval corresponding to the specified value for the percentage of population under age 65 without health insurance, according to US Census Bureau, Small Area Health Insurance Estimates dataintegerlevel : Ratio
Quartile_Percent_Of_Uninsured_Under_65The quartile to which the specified level of the percentage of population under age 65 without health insurance, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Primary_Care_Physicians_NumberThe number of primary care physicians in the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Primary_Care_Physicians_RateThe number of primary care physicians per 100,000 population under for the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Primary_Care_Physicians_RatioThe ratio of population to primary care physicians for the specified county, according to US Department of Health and Human Services, Area Health Resource File data; the initial ratio format with the sign ":", at the end, followed by "0" or "1", was changed and was kept only the integer population numberintegerlevel : Ratio
Is_Primary_Care_Physicians_AvailableSpecifies if there are primary care physicans available in the county; true values are synoyms of "0" values used for the ratiosboolean-
Quartile_Primary_Care_Physicians_RatioThe quartile to which the specified level of the ratio of population to primary care physicians, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Dentists_NumberThe number of dentists in the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Dentists_RateThe number of dentists per 100,000 population under for the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Dentists_RatioThe ratio of population to dentists for the specified county, according to US Department of Health and Human Services, Area Health Resource File data; the initial ratio format with the sign ":", at the end, followed by "0" or "1", was changed and was kept only the integer population numbernumberlevel : Ratio
Is_Dentist_AvailableSpecifies if there are dentists available in the county; true values are synoyms of "0" values used for the ratiosboolean-
Quartile_Dentists_RatioThe quartile to which the specified level of the ratio of population to dentists, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Mental_Health_Providers_NumberThe number of mental health providers in the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Mental_Health_Providers_RateThe number of mental health providers per 100,000 population under for the specified county, according to US Department of Health and Human Services, Area Health Resource File dataintegerlevel : Ratio
Mental_Health_Providers_RatioThe ratio of population to mental health providers for the specified county, according to US Department of Health and Human Services, Area Health Resource File data; the initial ratio format with the sign ":", at the end, followed by "0" or "1", was changed and was kept only the integer population numberintegerlevel : Ratio
Is_Mental_Health_Provider_AvailableSpecifies if there are mental health providers available in the county; true values are synoyms of "0" values used for the ratiosboolean-
Quartile_Mental_Health_Providers_RatioThe quartile to which the specified level of the ratio of population to mental health providers, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Medicare_EnrolleesThe number of Medicare enrollees in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Preventable_Hospital_Stays_RateThe number of hospital stays for ambulatory-care sensitive conditions per 1,000 Medicare enrollees in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Confidence_Interval_95_Low_Preventable_Hospital_StaysThe lower value of the confidence interval corresponding to the specified value for the number of hospital stays for ambulatory-care sensitive conditions per 1,000 Medicare enrollees, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Confidence_Interval_95_High_Preventable_Hospital_StaysThe upper value of the confidence interval corresponding to the specified value for the number of hospital stays for ambulatory-care sensitive conditions per 1,000 Medicare enrollees, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Quartile_Preventable_Hospital_StaysThe quartile to which the specified level of the value of the number of hospital stays for ambulatory-care sensitive conditions per 1,000 Medicare enrollees, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
DiabeticsThe number of diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Percent_Of_Diabetics_Receiving_Hb_A1cThe percentage of diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Diabetics_Receiving_Hb_A1cThe lower value of the confidence interval corresponding to the specified value for the percentage of diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Diabetics_Receiving_Hb_A1cThe upper value of the confidence interval corresponding to the specified value for the percentage of diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Quartile_Percent_Diabetics_Receiving_Hb_A1cThe quartile to which the specified level of the percentage of diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Diabetics_Receiving_Hb_A1c_BlackThe percentage of Black people diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Percent_Of_Diabetics_Receiving_Hb_A1c_WhiteThe percentage of White people diabetic Medicare enrollees ages 65-75 that receive HbA1c monitoring in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Medicare_Enrollees_Female_Age_67_To_69The number of female Medicare enrollees ages 67-69 that receive mammography screening in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Percent_Of_Mammography_Female_Age_67_To_69The percentage of female Medicare enrollees ages 67-69 that receive mammography screening in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care datanumberlevel : Ratio
Confidence_Interval_95_Low_Mammography_Female_Age_67_To_69The lower value of the confidence interval corresponding to the specified value for the percentage of female Medicare enrollees ages 67-69 that receive mammography screening, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care datanumberlevel : Ratio
Confidence_Interval_95_High_Mammography_Female_Age_67_To_69The upper value of the confidence interval corresponding to the specified value for the percentage of female Medicare enrollees ages 67-69 that receive mammography screening, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care datanumberlevel : Ratio
Quartile_Mammography_Female_Age_67_To_69The quartile to which the specified level of the percentage of female Medicare enrollees ages 67-69 that receive mammography screening, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Mammography_Female_Age_67_To_69_BlackThe percentage of Black female Medicare enrollees ages 67-69 that receive mammography screening in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Percent_Mammography_Female_Age_67_To_69_WhiteThe percentage of White female Medicare enrollees ages 67-69 that receive mammography screening in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Percent_Mammography_Female_Age_67_To_69_HispanicThe percentage of Hispanic female Medicare enrollees ages 67-69 that receive mammography screening in the specified county, according to The Dartmouth Institute For Health Policy And Clinical Practice, Dartmouth Atlas of Health Care dataintegerlevel : Ratio
Expected_High_School_GraduationsThe number of students expected to graduate in the specified county, according to US Department of Education, EDFacts dataintegerlevel : Ratio
Graduation_RateThe percentage of ninth-grade cohort that graduates in four years in the specified county, according to US Department of Education, EDFacts dataintegerlevel : Ratio
Quartile_GraduationThe quartile to which the specified level of the percentage of ninth-grade cohort that graduates in four years, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Adults_With_Some_College_Age_25_To_44The number of adults age 25-44 with some post-secondary education in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Adults_Age_25_To_44The number of adults age 25-44 in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Percent_Of_Adults_With_Some_College_Age_25_To_44The percentage of adults age 25-44 with some post-secondary education in the specified county, according to US Census Bureau, American Community Survey datanumberlevel : Ratio
Confidence_Interval_95_Low_Percent_Of_Adults_With_Some_CollegeThe lower value of the confidence interval corresponding to the specified value for the percentage of adults age 25-44 with some post-secondary education, according to US Census Bureau, American Community Survey datanumberlevel : Ratio
Confidence_Interval_95_High_Percent_Of_Adults_With_Some_CollegeThe upper value of the confidence interval corresponding to the specified value for the percentage of adults age 25-44 with some post-secondary education, according to US Census Bureau, American Community Survey datanumberlevel : Ratio
Quartile_Percent_Of_Adults_With_Some_CollegeThe quartile to which the specified level of the percentage of adults age 25-44 with some post-secondary education, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Unemployed_Age_16_And_OverThe number number of people ages 16 and over unemployed and looking for work in the specified county, according to US Department of Labor, Bureau of Labor Statistics dataintegerlevel : Ratio
Labor_ForceThe size of the labor force in the specified county, according to US Department of Labor, Bureau of Labor Statistics dataintegerlevel : Ratio
Percent_Of_Unemployed_Age_16_And_OverThe percentage of population ages 16 and older unemployed but seeking work, in the specified county, according to US Department of Labor, Bureau of Labor Statistics datanumberlevel : Ratio
Quartile_Percent_Of_Unemployed_Age_16_And_OverThe quartile to which the specified level of the percentage of population ages 16 and older unemployed but seeking work, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Children_Under_18_In_PovertyThe number of children under age 18 living in poverty in the specified county, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Percent_Of_Children_Under_18_In_PovertyThe percentage of children under age 18 living in poverty in the specified county, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Confidence_Interval_95_Low_Under_18_In_PovertyThe lower value of the confidence interval corresponding to the specified value for the percentage of children under age 18 living in poverty, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Confidence_Interval_95_High_Under_18_In_PovertyThe upper value of the confidence interval corresponding to the specified value for the percentage of children under age 18 living in poverty, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Quartile_Children_Under_18_In_PovertyThe quartile to which the specified level of the percentage of children under age 18 living in poverty, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Black_Children_Under_18_In_PovertyThe percentage of Black children under age 18 living in poverty in the specified county, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Percent_Of_Hispanic_Children_Under_18_In_PovertyThe percentage of Hispanic children under age 18 living in poverty in the specified county, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Percent_Of_White_Children_Under_18_In_PovertyThe percentage of White children under age 18 living in poverty in the specified county, according to US Census Bureau, Small Area Income and Poverty Estimates dataintegerlevel : Ratio
Income_Percentile_80The 80th percentile of median household income in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Income_Percentile_20The 80th percentile of median household income in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Income_Percentiles_RatioThe ratio of household income at the 80th percentile to income at the 20th percentile in the specified county, according to US Census Bureau, American Community Survey datanumberlevel : Ratio
Quartile_Income_Percentiles_RatioThe quartile to which the specified level of the ratio of household income at the 80th percentile to income at the 20th percentile, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Children_In_Single_Parent_HouseholdsThe number of children that live in single-parent households in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Children_In_HouseholdsThe number of children in households in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Percent_Of_Children_In_Single_Parent_HouseholdsThe percentage of children that live in a household headed by single parent in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_In_Single_Parent_HouseholdsThe lower value of the confidence interval corresponding to the specified value for the percentage of children that live in a household headed by single parent, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_In_Single_Parent_HouseholdsThe upper value of the confidence interval corresponding to the specified value for the percentage of children that live in a household headed by single parent, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Quartile_Percent_In_Single_Parent_HouseholdsThe quartile to which the specified level of the percentage of children that live in a household headed by single parent, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Social_AssociationsThe number of membership associations (the opposite of individuals who live socially isolated) in the specified county, according to US Census Bureau, County Business Patterns dataintegerlevel : Ratio
Social_Association_RateThe number of membership associations per 10,000 population in the specified county, according to US Census Bureau, County Business Patterns datanumberlevel : Ratio
Quartile_Social_Association_RateThe quartile to which the specified level of the number of membership associations per 10,000 population, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Violent_CrimesThe number of reported violent crime offenses in the specified county, according to FBI, Uniform Crime Reporting dataintegerlevel : Ratio
Violent_Crimes_RateThe number of reported violent crime offenses per 100,000 population in the specified county, according to FBI, Uniform Crime Reporting dataintegerlevel : Ratio
Quartile_Violent_Crimes_RateThe quartile to which the specified level of the number of reported violent crime offenses per 100,000 population, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Injury_DeathsThe number of injury deaths in the specified county, according to CDC, WONDER mortality dataintegerlevel : Ratio
Injury_Deaths_RateThe number of deaths due to injury per 100,000 population in the specified county, according to CDC, WONDER mortality dataintegerlevel : Ratio
Confidence_Interval_95_Low_Injury_Deaths_RateThe lower value of the confidence interval corresponding to the specified value for the number of deaths due to injury per 100,000 population, according to CDC, WONDER mortality dataintegerlevel : Ratio
Confidence_Interval_95_High_Injury_Deaths_RateThe upper value of the confidence interval corresponding to the specified value for the number of deaths due to injury per 100,000 population, according to CDC, WONDER mortality dataintegerlevel : Ratio
Quartile_Injury_Deaths_RateThe quartile to which the specified level of the number of deaths due to injury per 100,000 population, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Daily_Average_Pollution_With_Fine_Particulate_MatterThe average daily density of fine particulate matter in micrograms per cubic meter (PM2.5) in the specified county, according to FBI, Uniform Crime Reporting datanumberlevel : Ratio
Quartile_Daily_Average_Pollution_With_Fine_Particulate_MatterThe quartile to which the specified level of the average daily density of fine particulate matter in micrograms per cubic meter (PM2.5), belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Is_Drinking_Water_ViolationIndicates the presence of health-related drinking water violations in the specified county, according to US Environmental Health Protection Agency, The Safe Drinking Water Information System databoolean-
Quartile_Drinking_Water_ViolationSpecifies the within-state rank of the countyintegerlevel : Ordinal
Households_With_Severe_ProblemsThe number of households with at least 1 of 4 housing problems (overcrowding, high housing costs, or lack of kitchen or plumbing facilities) in the specified county, according to US Department of Housing and Urban Development, Comprehensive Housing Affordability Strategy (CHAS) dataintegerlevel : Ratio
Percent_With_Severe_ProblemsThe percentage of households with at least 1 of 4 housing problems (overcrowding, high housing costs, or lack of kitchen or plumbing facilities) in the specified county, according to US Department of Housing and Urban Development, Comprehensive Housing Affordability Strategy (CHAS) dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_With_Severe_ProblemsThe lower value of the confidence interval corresponding to the specified value for the percentage of households with at least 1 of 4 housing problems (overcrowding, high housing costs, or lack of kitchen or plumbing facilities), according to US Department of Housing and Urban Development, Comprehensive Housing Affordability Strategy (CHAS) dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_With_Severe_ProblemsThe upper value of the confidence interval corresponding to the specified value for the percentage of households with at least 1 of 4 housing problems (overcrowding, high housing costs, or lack of kitchen or plumbing facilities), according to US Department of Housing and Urban Development, Comprehensive Housing Affordability Strategy (CHAS) dataintegerlevel : Ratio
Severe_Housing_Cost_BurdenSevere Housing Cost Burdenintegerlevel : Ratio
OvercrowdingHouseholds overcrowdingintegerlevel : Ratio
Inadequate_FacilitiesInadequate facilities in householdsintegerlevel : Ratio
Quartile_Percent_With_Severe_ProblemsThe quartile to which the specified level of the percentage of households with at least 1 of 4 housing problems (overcrowding, high housing costs, or lack of kitchen or plumbing facilities), belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Who_Drive_Alone_To_WorkThe percentage of the workforce that drives alone to work in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Drive_Alone_To_WorkThe lower value of the confidence interval corresponding to the specified value for the percentage of the workforce that drives alone to work, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Drive_Alone_To_WorkThe upper value of the confidence interval corresponding to the specified value for the percentage of the workforce that drives alone to work, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Quartile_Workers_Who_Drive_Alone_To_WorkThe quartile to which the specified level of the percentage of the workforce that drives alone to work, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal
Percent_Of_Black_Who_Drive_Alone_To_WorkThe percentage of the Black workers that drive alone to work in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Percent_Of_Hispanic_Who_Drive_Alone_To_WorkThe percentage of the Hispanic workers that drive alone to work in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Percent_Of_White_Who_Drive_Alone_To_WorkThe percentage of the White workers that drive alone to work in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Commute_Alone_In_Their_Car_To_WorkThe number of workers who commute in their car, truck or van alone, in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Percent_Who_Long_Commute_Alone_In_Their_Car_To_WorkThe percentage of workers that commute more than 30 minutes among workers who commute in their car alone, in the specified county, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_Low_Percent_Who_Long_Commute_AloneThe lower value of the confidence interval corresponding to the specified value for the percentage of workers that commute more than 30 minutes among workers who commute in their car alone, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Confidence_Interval_95_High_Percent_Who_Long_Commute_AloneThe upper value of the confidence interval corresponding to the specified value for the percentage of workers that commute more than 30 minutes among workers who commute in their car alone, according to US Census Bureau, American Community Survey dataintegerlevel : Ratio
Quartile_Percent_Who_Long_Commute_AloneThe quartile to which the specified level of the percentage of workers that commute more than 30 minutes among workers who commute in their car alone, belongs to, among the values of the counties belonging to same stateintegerlevel : Ordinal

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