Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 2020-2021 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.</SPAN></P><P><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>
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 data set provides four 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 two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</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>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data set provides four 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 two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.</SPAN></P></DIV></DIV></DIV>