Others titles
- US Counties Health Rankings Indicators Description And Data Sources
- US Counties Health Rankings Additional Information And Top Performers
Keywords
- 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
US Counties Health Ranks Data Information And Top Performers 2017-2022

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.
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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 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).
About this Dataset
Data Info
Date Created | 2010 |
---|---|
Last Modified | 2022 |
Version | 2022 |
Update Frequency |
Annual |
Temporal Coverage |
2017-2022 |
Spatial Coverage |
United States |
Source | John Snow Labs; University of Wisconsin Population Health Institute; |
Source License URL | |
Source License Requirements |
Publicly available and free for research application but citation is required. Permission asked for commercial uses |
Source Citation |
Publicly available and free for research application but citation is required. Permission asked for commercial uses |
Keywords | 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 |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
County_Health_Rankings_Project_Year | The year when the County Health Rankings project results were released, including the ranking measures data and the additional measures data | date | required : 1 |
Measure_Type | Specifies whether the measure is a raking measure or an additional measure | string | required : 1 |
Indicator_Name_Used_In_Header | The name used for the indicators in the main dataset US Counties Ranks By Health Outcomes And Determinants | string | required : 1 |
Indicator_Category | One of the two main categories of indicators | string | enum : Array ( [0] => Health Status [1] => Determinants Of Health [2] => Demographics ) required : 1 |
Determinants_Of_Health_Type | One of the four main types of determinants of health | string | enum : Array ( [0] => Health Behaviours [1] => Clinical Care [2] => Social and Economic Determinants [3] => Physical Environment [4] => Other ) |
Indicator_Type | The type of indicator corresponding to health outcomes (population health status) or determinants of health | string | required : 1 |
Indicator | The original name used for indicator | string | required : 1 |
Indicator_Description | The detailed description provided for the indicators | string | - |
Indicator_Weight_Percent | The weight used for the calculation of the overall values, at health outcomes or determinants of health level | number | level : Ratio |
Data_Sources | The source or sources corresponding to the original data used | string | required : 1 |
Data_Years | The year or years corresponding to the original data used | string | required : 1 |
Top_Performers_Value | The value for which only 10% of counties in the country are doing better | number | level : Ratio |
US_Overall_Value | The value calculated at US level | number | level : Ratio |
Value_Type | Specifies the original form of top performers and US overall values | string | - |
Data Preview
County Health Rankings Project Year | Measure Type | Indicator Name Used In Header | Indicator Category | Determinants Of Health Type | Indicator Type | Indicator | Indicator Description | Indicator Weight Percent | Data Sources | Data Years | Top Performers Value | US Overall Value | Value Type |
2017 | Ranking measure | Age_Adjusted_Years_Of_Potential_Life_Lost_Rate | Health Status | Length of life | Premature death | Years of potential life lost before age 75 per 100,000 population (age-adjusted) | 0.5 | National Center for Health Statistics - Mortality files | 2012-2014 | 5200.0 | 6600.0 | Number | |
2017 | Ranking measure | Percent_Of_Adults_With_Fair_Or_Poor_Health | Health Status | Quality of life | Poor or fair health | Percentage of adults reporting fair or poor health (age-adjusted) | 0.1 | Behavioral Risk Factor Surveillance System | 2015 | 0.12 | 0.15 | Percent | |
2017 | Ranking measure | Average_Physically_Unhealthy_Days | Health Status | Quality of life | Poor physical health days | Average number of physically unhealthy days reported in past 30 days (age-adjusted) | 0.1 | Behavioral Risk Factor Surveillance System | 2015 | 3.0 | 3.6 | Number | |
2017 | Ranking measure | Average_Mentally_Unhealthy_Days | Health Status | Quality of life | Poor mental health days | Average number of mentally unhealthy days reported in past 30 days (age-adjusted) | 0.1 | Behavioral Risk Factor Surveillance System | 2015 | 3.0 | 3.7 | Number | |
2017 | Ranking measure | Percent_Of_Low_Birthweight_Births | Health Status | Quality of life | Low birthweight | Percentage of live births with low birthweight (< 2500 grams) | 0.2 | National Center for Health Statistics - Natality files | 2008-2014 | 0.06 | 0.08 | Percent | |
2017 | Ranking measure | Percent_Of_Adults_Smokers | Determinants Of Health | Health Behaviours | Tobacco use | Adult smoking | Percentage of adults who are current smokers | 0.1 | Behavioral Risk Factor Surveillance System | 2015 | 0.14 | 0.18 | Percent |
2017 | Ranking measure | Percent_Of_Obese_Adults | Determinants Of Health | Health Behaviours | Diet and exercise | Adult obesity | Percentage of adults that report a BMI of 30 or more | 0.05 | CDC Diabetes Interactive Atlas | 2013 | 0.26 | 0.28 | Percent |
2017 | Ranking measure | Food_Environment_Index | Determinants Of Health | Health Behaviours | Diet and exercise | Food environment index | Index of factors that contribute to a healthy food environment, 0 (worst) to 10 (best) | 0.02 | USDA Food Environment Atlas, Map the Meal Gap | 2014 | 8.4 | 7.3 | Number |
2017 | Ranking measure | Percent_Of_Physically_Inactive_Adults | Determinants Of Health | Health Behaviours | Diet and exercise | Physical inactivity | Percentage of adults aged 20 and over reporting no leisure-time physical activity | 0.02 | CDC Diabetes Interactive Atlas | 2013 | 0.19 | 0.22 | Percent |
2017 | Ranking measure | Percent_With_Access_To_Exercise_Opportunities | Determinants Of Health | Health Behaviours | Diet and exercise | Access to exercise opportunities | Percentage of population with adequate access to locations for physical activity | 0.01 | Business Analyst, Delorme map data, ESRI, & US Census Tigerline Files | 2010, 2014 | 0.91 | 0.84 | Percent |