This layer displays fluoridation data generated from the Water Fluoridation Reporting System (WFRS) as reported to the CDC. State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/php/statistics/. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.
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.
For more information about the data, please see the U.S. Drought Monitor Data Classification web page.
Chronic Wasting Disease
This layer displays the distribution of Chronic Wasting Disease (CWD) within the United States. Data only includes whether at least one case of CWD has been identified within a county and not the overall prevalence within a county.
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.
Pulic Education Revenue
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 revenue.
Revenues are gained by each public school district through federal, state, and local funding.
Unemployment – July
The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort in which monthly estimates of total employment and unemployment are prepared for over 7,500 areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that state workforce agencies prepare under agreement with BLS.
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.
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.