Description: The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools and school district administrative offices based on these addresses. The point locations in this data layer were developed from the 2023-2024 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.
Description: Contains the boundaries of demographic neighborhoods used for the ParkScore equity analysis. Boundaries are intersected with place boundaries and tagged with place name and FIPS. Neighborhoods for a demographic for each place are defined as the set of census block groups containing the highest percentage of the demographic, and with a total population adding up to 20% of the place population.
Description: Contains the boundaries of demographic neighborhoods used for the ParkScore equity analysis. Boundaries are intersected with place boundaries and tagged with place name and FIPS. Neighborhoods for a demographic for each place are defined as the set of census block groups containing the highest percentage of the demographic, and with a total population adding up to 20% of the place population.Low income households earn up to 0.75 the median income of the urban area containing the place, and high income earn more than 1.25x the median income. The neighborhoods are for the demographics in the MERGE_SRC column.
Description: U.S. Block Groups provide detailed boundaries that are consistent with the tract and county datasets and are effective at the national level. This dataset provides four feature classes. The base feature class is called BlockGroups_bg. The centroids feature class is called BlockGroups_bg_cent. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundary feature classes and called: BlockGroups_bg_gen2 and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.