This layer displays the percentage of Medicare Beneficiaries with diabetes. The prevalence of chronic conditions among Medicare beneficiaries is based on Medicare insurance claims (for specific inpatient diagnosis or procedure codes) in 2018.
This layer displays the percentage of Medicare Beneficiaries with hypertension (high blood pressure). The prevalence of chronic conditions among Medicare beneficiaries is based on Medicare insurance claims (for specific inpatient diagnosis or procedure codes) in 2018.
This layer displays the percentage of Medicare Beneficiaries with an alcohol use disorder. The prevalence of alcohol use disorder among Medicare beneficiaries is based on Medicare insurance claims (for specific inpatient diagnosis or procedure codes) in 2018.
This layer displays the percentage of Medicare Beneficiaries with a drug or substance use disorder. The prevalence among Medicare beneficiaries is based on Medicare insurance claims (for specific inpatient diagnosis or procedure codes) in 2018.
This layer displays per capita personal income by county. This measure of income is calculated as the total personal income of the residents of an area divided by the population of the area. Per capita personal income is often used … Continued
This feature class/shapefile contains locations of child day care centers for the 50 states of the USA, Washington D.C., and Puerto Rico.The dataset only includes center based child day care locations (including those located at schools and religious institutes) and … Continued
This layer displays the percentage and number of Medicare Fee-for-Service Beneficiaries with six or more of the 21 standard chronic conditions.
The National Hydrography Dataset (NHD) is used to portray surface water. The NHD represents the drainage network with features such as rivers, streams, canals, lakes, ponds, coastline, etc. The principal components of the NHD are: NHDFlowline: This is the fundamental … Continued
This layer displays the number and rate of fatalities from motor vehicle crashes occurring between 2015 and 2019, aggregated by county. Unlike typical mortality data, this data layer represents the location of the fatal crash, and not the county of … Continued
This layer displays the number and percentage of fatal vehicle crashes involving alcohol occurring between 2015 and 2019. Data are aggregated by county of occurrence.