This layer displays the number and percentage of fatal vehicle crashes involving alcohol occurring between 2014 and 2018. Data are aggregated by county of occurrence.
This layer shows the percentage of land area covered by tree canopy based on data from the 2016 The National Land Cover Database (NLCD) Percent Tree Canopy Collection. The NLCD tree canopy imagery is a product of the U.S. Forest Service (USFS), and is produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). Tree canopy values range from 0 to 100 percent.
In order to generate percent tree canopy values for census geographies, the NLCD 2016 Percent Tree Canopy Analytical Dataset was processed using ESRI Zonal Statistics tools. Zones were based on US Census Block Group boundaries from the ESRI Map Data pack for ArcGIS 10.6. These figures were aggregated and mapped at the census block group, census tract and county levels. Census tract and county figures are also available as population weighted percentages based on 2010 Decennial Census figures.
This layer displays the point locations of all providers of service (POS) in the U.S. The POS database contains the addresses and characteristics of all health care providers, including hospitals, skilled nursing facilities, rural health clinics, and more.
This layer displays the number of farms in each state and county.
This layer displays the average farm income in each state and county.
This is a polygon coverage of Physiographic Divisions in the
conterminous United States. It was automated from Fenneman’s
1:7,000,000-scale map, “Physical Divisions of the United
States,” which is based on eight major 1946 divisions, 25 provinces,
and 86 sections representing distinctive areas having common
topography, rock types and structure, and geologic and
geomorphic history.
Click the map link to view the poverty rate from the 2014-18 American Community Survey (ACS) for counties, ZIP Codes, and other geographic areas. Check out other 2014-18 ACS updates by searching the Map Room for the terms 2018 ACS.
This layer displays the percent of people who use the internet at broadband speeds (Greater than 25 MBPS download speed). Data is derived from the Microsoft data science and analytics team, using anonymized user data and aggregated to the county level.
This layer displays the Gross Domestic Product (GDP) produced within each U.S. county and the percent change in GDP from the previous year. GDP is the monetary value of all the goods and service produced within a county and is a measure of economic activity. The growth rate of GDP is the most popular indicator of overall economic health.
This layer displays the estimated percentage of household income for housing and transportation for a family earning the Area Median Income (AMI). The expected values for housing and transportation are modeled by HUD using data from the US Census Bureau and the US Department of Transportation, including:
Note: The LAI does not predict what families are actually paying to live in a particular area, but rather what a family would pay (either in USD or as a percentage of income) if average or reasonable housing and commuting conditions for a particular neighborhood were achieved.