National Land Cover Dataset, 2021

The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey.

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Population Living in Urban Areas

This layer displays percent of population living in urban areas as of 2020. Urban areas are identified using population density, count, and size thresholds. This data was released as part of the decennial census in April 2020. For more information visis the Census.gov website here.

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National Land Cover Dataset, 2019

The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey.

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Rural vs. Urban Household Poverty

This layer displays information about the difference between rural and urban childhood poverty across the United States. Data are based on census-tract level information from the 2008-12 American Community Survey. Census tracts are defined as urban or rural based on 2010 US Census Bureau definitions; tract level information is then aggregated to and displayed at the Public Use Microdata Area (PUMA) geographic level.

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Rural vs. Urban Childhood Poverty

This layer displays information about the difference between rural and urban childhood poverty across the United States. Data are based on census-tract level information from the 2010-14 American Community Survey. Census tracts are defined as urban or rural based on 2010 US Census Bureau definitions; tract level information is then aggregated to and displayed at the Public Use Microdata Area (PUMA) geographic level.

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Rural vs. Urban Educational Attainment

This layer displays information about the difference between rural and urban educational attainment across the United States. Data are based on census-tract level information from the 2010-14 American Community Survey. Census tracts are defined as urban or rural based on 2010 US Census Bureau definitions; tract level information is then aggregated to and displayed at the Public Use Microdata Area (PUMA) geographic level.

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National Land Cover Dataset

The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey.

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