Description: 2010 Census Urbanized Areas (UA) and Urban Clusters (UC) in the United States. An urban area comprises a densely settled core of census tracts and/or census blocks that meet minimum population density requirements, along with adjacent territory containing non-residential urban land uses as well as territory with low population density included to link outlying densely settled territory with the densely settled core. To qualify as an urban area, the territory identified according to criteria must encompass at least 2,500 people, at least 1,500 of which reside outside institutional group quarters. The U.S. Census Bureau identifies two types of urban areas—Urbanized Areas (UA) of 50,000 or more people and Urban Clusters (UC) of at least 2,500 and less than 50,000 people. The layers provide information about the locations, names, population, and codes of urban areas primarily for national planning applications.
Description: U.S. Places provide detailed boundaries that are consistent with the tract and county data sets and are effective at the national level. These have been enriched with park access statistics.
Description: The Trust for Public Land built a comprehensive database of local parks in the nearly 14,000 cities, towns, and communities. We used census-defined urban areas to define where to collect and create local data. For each municipality, geographic boundaries were obtained from the U.S. Census 2010 Places geospatial dataset. Associated population estimates are derived from ESRI’s 2018 Demographic Forecasts. We attempted to contact each municipality with a request for their parks data. If no GIS data was provided, we created GIS data for the place based on available resources, such as park information from municipal websites, GIS data available from counties and states, and satellite imagery.
Description: 10-minute walkable service areas created using a nationwide walkable road network dataset provided by Esri. The analysis identifies physical barriers such as highways, train tracks, and rivers without bridges and chooses routes without barriers.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset provides eight feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are six generalized boundaries feature classes and called: BlockGroups_bg_gen2, BlockGroups_bg_gen3, BlockGroups_bg_gen4, BlockGroups_bg_gen5, BlockGroups_bg_gen6 and BlockGroups_bg_gen7. These generalized features classes are provided to be used in mapping applications where very detailed feature classes can slow down performance.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset provides eight feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are six generalized boundaries feature classes and called: BlockGroups_bg_gen2, BlockGroups_bg_gen3, BlockGroups_bg_gen4, BlockGroups_bg_gen5, BlockGroups_bg_gen6 and BlockGroups_bg_gen7. These generalized features classes are provided to be used in mapping applications where very detailed feature classes can slow down performance.</SPAN></P></DIV></DIV></DIV>