This layer displays information about earnings income by county. Per capita measures of income are calculated as the total component income of the residents of an area divided by the population of the area. Percentages are calculated by dividing the total component income by the total personal income. Information used in this map layer is acquired from the US Bureau of Economic Analysis Regional Economic Accounts: Economic Profile (CA30).
Dividends, Interest, and Rent Income, 2019
This layer displays information about dividends, interest, and rent income by county. Per capita measures of income are calculated as the total component income of the residents of an area divided by the population of the area. Percentages are calculated by dividing the total component income by the total personal income. Information used in this map layer is acquired from the US Bureau of Economic Analysis Regional Economic Accounts: Economic Profile (CA30).
Transfer Receipts Income, 2019
This layer displays information about transfer receipt income by county. Per capita measures of income are calculated as the total component income of the residents of an area divided by the population of the area. Percentages are calculated by dividing the total component income by the total personal income. Information used in this map layer is acquired from the US Bureau of Economic Analysis Regional Economic Accounts: Economic Profile (CA30).Personal current transfer receipts are benefits received by persons for which no current services are performed. It consists of benefits received by individuals and nonprofit institutions that primarily serve individuals from federal, state, and local governments and from businesses.
Medicare Beneficiaries with 6 or More Chronic Conditions by County, 2018
This layer displays the percentage and number of Medicare Fee-for-Service Beneficiaries with six or more of the 21 standard chronic conditions.
Medicare Beneficiaries with 2 or More Chronic Conditions by County, 2018
This layer displays the percentage and number of Medicare Fee-for-Service Beneficiaries with two or more of the 21 standard chronic conditions.
Diabetes Among Medicare Beneficiaries by County, 2018
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.
Hypertension (High Blood Pressure) Among Medicare Beneficiaries by County, 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.
Alcohol Use Disorders Among Medicare Beneficiaries by County, 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.
Drug/Substance Use Disorders Among Medicare Beneficiaries by County, 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.
Childcare Facilities, 2020
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 does not include group, home, and family based child day cares. All the data was acquired from respective states departments or their open source websites and only contains data provided by these sources.