US Counties Health Ranks Data Information And Top Performers 2016-2019

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The dataset contains additional information related to the data sources and years used to calculate the US counties ranks and data for the top performers and US overall values. The dataset comes in addition to the main dataset, US Counties Ranks By Health Outcomes And Determinants.


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 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. Are included only counties and county equivalents within a state. 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 were 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 healthcare 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.

Top performers refer to the value for which only 10% of counties in the country are doing better, i.e., the 90th percentile or 10th percentile, depending on whether the measure is framed positively (e.g., high school graduation) or negatively (e.g., adult smoking).

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Temporal Coverage


Spatial Coverage

United States


John Snow Labs; University of Wisconsin Population Health Institute;

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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.


County Health Rankings, Determinants Of Health, Health Outcomes Measures, County Health Indicators, Ranking Data Sources, Ranking Data Years, County Health Indicators Top Performers, County Health Indicators Weights, Determinants Of Health Weights, Health Indicators Categories

Other Titles

US Counties Health Rankings Indicators Description And Data Sources, US Counties Health Rankings Additional Information And Top Performers

County_Health_Rankings_Project_YearThe year when the County Health Rankings project results were released, including the ranking measures data and the additional measures datadaterequired : 1
Measure_TypeSpecifies whether the measure is a raking measure or an additional measurestringrequired : 1
Indicator_Name_Used_In_HeaderThe name used for the indicators in the main dataset US Counties Ranks By Health Outcomes And Determinantsstringrequired : 1
Indicator_CategoryOne of the two main categories of indicatorsstringenum : Array required : 1
Determinants_Of_Health_TypeOne of the four main types of determinants of healthstringenum : Array
Indicator_TypeThe type of indicator corresponding to health outcomes (population health status) or determinants of healthstringrequired : 1
IndicatorThe original name used for indicatorstringrequired : 1
Indicator_DescriptionThe detailed description provided for the indicatorsstring-
Indicator_Weight_PercentThe weight used for the calculation of the overall values, at health outcomes or determinants of health levelnumberlevel : Ratio
Data_SourcesThe source or sources corresponding to the original data usedstringrequired : 1
Data_YearsThe year or years corresponding to the original data usedstringrequired : 1
Top_Performers_ValueThe value for which only 10% of counties in the country are doing betternumberlevel : Ratio
US_Overall_ValueThe value calculated at US levelnumberlevel : Ratio
Value_TypeSpecifies the original form of top performers and US overall valuesstring-
County Health Rankings Project YearMeasure TypeIndicator Name Used In HeaderIndicator CategoryDeterminants Of Health TypeIndicator TypeIndicatorIndicator DescriptionIndicator Weight PercentData SourcesData YearsTop Performers ValueUS Overall ValueValue Type
2017Ranking measureAge_Adjusted_Years_Of_Potential_Life_Lost_RateHealth StatusLength of lifePremature deathYears of potential life lost before age 75 per 100,000 population (age-adjusted)0.5National Center for Health Statistics - Mortality files2012-20145200.06600.0Number
2017Ranking measurePercent_Of_Adults_With_Fair_Or_Poor_HealthHealth StatusQuality of lifePoor or fair healthPercentage of adults reporting fair or poor health (age-adjusted)0.1Behavioral Risk Factor Surveillance System20150.120.15Percent
2017Ranking measureAverage_Physically_Unhealthy_DaysHealth StatusQuality of lifePoor physical health daysAverage number of physically unhealthy days reported in past 30 days (age-adjusted)0.1Behavioral Risk Factor Surveillance System20153.03.6Number
2017Ranking measureAverage_Mentally_Unhealthy_DaysHealth StatusQuality of lifePoor mental health daysAverage number of mentally unhealthy days reported in past 30 days (age-adjusted)0.1Behavioral Risk Factor Surveillance System20153.03.7Number
2017Ranking measurePercent_Of_Low_Birthweight_BirthsHealth StatusQuality of lifeLow birthweightPercentage of live births with low birthweight (< 2500 grams)0.2National Center for Health Statistics - Natality files2008-20140.060.08Percent
2017Ranking measurePercent_Of_Adults_SmokersDeterminants Of HealthHealth BehavioursTobacco useAdult smokingPercentage of adults who are current smokers0.1Behavioral Risk Factor Surveillance System20150.140.18Percent
2017Ranking measurePercent_Of_Obese_AdultsDeterminants Of HealthHealth BehavioursDiet and exerciseAdult obesityPercentage of adults that report a BMI of 30 or more0.05CDC Diabetes Interactive Atlas20130.260.28Percent
2017Ranking measureFood_Environment_IndexDeterminants Of HealthHealth BehavioursDiet and exerciseFood environment indexIndex of factors that contribute to a healthy food environment, 0 (worst) to 10 (best)0.02USDA Food Environment Atlas, Map the Meal Gap20148.47.3Number
2017Ranking measurePercent_Of_Physically_Inactive_AdultsDeterminants Of HealthHealth BehavioursDiet and exercisePhysical inactivityPercentage of adults aged 20 and over reporting no leisure-time physical activity0.02CDC Diabetes Interactive Atlas20130.190.22Percent
2017Ranking measurePercent_With_Access_To_Exercise_OpportunitiesDeterminants Of HealthHealth BehavioursDiet and exerciseAccess to exercise opportunitiesPercentage of population with adequate access to locations for physical activity0.01Business Analyst, Delorme map data, ESRI, & US Census Tigerline Files2010, 20140.910.84Percent