The map also shows usage patterns in tribal communities, which have historically suffered from lack of internet access. The dataset allows you to see where high-poverty communities are located and how that relates to internet usage patterns, as well as to a lack of computers and related equipment. The map also puts poverty and lack of broadband access on the same page. “In his American Jobs Plan, President Biden has proposed a once-in-a-lifetime investment that would finally connect one hundred percent of the country to reliable and affordable high-speed broadband.” “As we release this important data to the public, it paints a sobering view of the challenges facing far too many Americans as they try to connect to high-speed broadband and participate in our modern economy,” said U.S. Map displaying Census tracts where median Internet speeds show fixed broadband below 25/3 Mbps, according to Ookla data. This is the first map that allows users to graphically compare and contrast these different data sources. Speed-test data provided by M-Lab and Ookla help to illustrate the reality that communities experience when going online, with many parts of the country reporting speeds that fall below the FCC’s current benchmark for fixed broadband service of 25 Mbps download, 3 Mbps upload. Census Bureau, the Federal Communications Commission (FCC), M-Lab, Ookla and Microsoft. It contains data aggregated at the county, census tract, and census block level from the U.S. The public “Indicators of Broadband Need” tool released today puts on one map, for the first time, data from both public and private sources. This is the first interactive, public map that allows users to explore different datasets about where people do not have quality Internet access. Department of Commerce’s National Telecommunications and Information Administration (NTIA) released a new publicly available digital map that displays key indicators of broadband needs across the country. NTIA map links poverty usage and broadband access by compiling data sets to show where high-poverty communities are located with relation to internet usage patterns and access to computers and related equipment
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