Public Education Expenditures

This layer data was obtained from the National Center for Education Statistics (NCES) Common Core of Data (CCD) School District Finance Survey. The survey provides finance data for all local education agencies (LEAs) that provide free public elementary and secondary education in the United States. County-level data was generated by CARES by aggregating school-district level records with valid reported figures for total students and total expenditures.

Expenditures are spent by each public school district on instruction, support services, capital outlay, and non-elementary/secondary education.

Non-Specialized Counties

Non-specialized counties are those that did not have a high concentration of earnings or jobs in any one of farming, mining, manufacturing, or Federal and State Government and did not have a high concentration of economic activity (as measured using a weighted index) in recreation. Metropolitan and non metropolitan areas are based on the U.S. Office of Management and Budget 2023 delineation of core based statistical areas.

Banking Deserts

This layer displays the average number of active branches of banks as of 2024. Data are available at the census tract.

Farming Dependent Counties

Farming dependent counties are those where at least 20 percent of the county’s annual average labor and proprietors’ earnings came from farming or at least 17 percent of the annual average number of jobs in the county were derived from farming over the 3-year average of 2019, 2021, and 2022.

Rural-Urban Commuting Zones

The USDA, Economic Research Service’s (ERS) Rural-Urban Commuting Area (RUCA) codes are a classification scheme allowing for flexible, census tract delineation of rural and urban areas throughout the United States and its territories. RUCA codes were designed to address a major limitation associated with county-based classifications; they are often too large to accurately delineate boundaries between rural and urban areas. The more geographically-detailed information provided by RUCA codes can be used to improve rural research and policy—such as addressing concerns that remote, rural communities in large metropolitan counties are not eligible for some rural assistance programs.

The RUCA codes consist of two levels. The primary RUCA codes establish urban cores and the census tracts that are the most economically integrated with those cores through commuting. The secondary RUCA codes indicate whether a census tract has a strong secondary connection (through commuting) to an even larger urban core. For more information, visit the “RUCA website” here.

Drought Intensity, U.S. Drought Monitor

This layer displays areas that experienced dry or drought conditions in the last seven days. Data are retrieved as shapefiles from the U.S. Drought Monitor and are updated on a weekly basis. The affected areas are represented by polygons, which are classified according to drought intensity. Using quantitative and objective indicators, as well as local condition and impact reports, the U.S. Drought Monitor defines each drought intensity level as follows:

D0 – Abnormally Dry
D1 – Moderate Drought
D2 – Severe Drought
D3 – Extreme Drought
D4 – Exceptional Drought
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For more information about the data, please see the U.S. Drought Monitor Data Classification web page.

Colonoscopy in Past 10 Years (Population Aged 50-75)

This layer displays cancer screening and risk factor information from the State Cancer Profiles data – a collaboration between the Center For Disease Control and Prevention (CDC) and National Cancer Institute (NCI). County level model-based estimates are calculated by combining responses from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS), and uses the U. S. Census Small Area Estimates (SAE) methodology to estimate data for non-response areas. Low (-95%) and High (+95%) confidence intervals are also included in the popup. The width of a confidence interval depends on the amount of variability in the data. Narrow confidence intervals tend to imply greater certainty in the estimate, while wide confidence intervals tend to imply more variability in the data and could mean there is less certainty. For more information visit the State Cancer Profiles Methodology Page.

Real-time Air Quality Index (AQI) – Ozone and Particulate Matter

This US EPA feature layer is updated hourly and reflects the latest hour of air quality data received from each monitoring site that reports to AirNow. The concentration and AQI values are for Ozone and Particulate Matter (PM) only. Air quality index ranges from 0-5,000 with higher values indicating worse air quality.

Area Deprivation Index by Census Block Group

The 2023 Area Deprivation Index is now available! The ADI map displays rankings of neighborhoods by socioeconomic status disadvantage in a region of interest (e.g. at the state or national level). It includes factors for the theoretical domains of income, education, employment, and housing quality. It can be used to inform health delivery and policy, especially for the most disadvantaged neighborhood groups. The 2023 ADI was constructed using the 2019-2023 5-year estimates from the US Census’ American Community Survey.