BROADBAND INFRASTRUCTURE IN TRIBAL AREAS (2015–2025)

BROADBAND INFRASTRUCTURE IN TRIBAL AREAS (2015–2025)

This report presents a comprehensive databook on broadband infrastructure and performance across 706 tribal land areas as defined by the U.S. Census Bureau. Spanning 2015–2025, the databook presents detailed individual profiles for each tribal land area using FCC Broadband Data Collection records with additional datasets joined at the AIANNHCE level. Each profile includes a description of the associated tribal entity and land base, quarterly broadband speed trends, availability metrics, adoption rates, provider lists, and comparisons to national benchmarks. The report covers the full range of Census-defined AIANNH entities: 325 federal American Indian reservations, 221 Alaska Native Village Statistical Areas, 74 Hawaiian Home Lands, and additional statistical areas (OTSAs, SDTSAs, TDSAs, state-recognized reservations, and joint-use areas) across 38 states and territories. By offering granular, area-level statistics together with an interactive version at tribalgeo.com, this databook provides researchers, policymakers, and tribal leaders with a transparent resource for understanding broadband on tribal lands.

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Sarah Oh Lam is a Senior Fellow at the Technology Policy Institute. Oh Lam completed her PhD in Economics from George Mason University, and holds a JD from GMU and a BS in Management Science and Engineering from Stanford University. She was previously the Operations and Research Director for the Information Economy Project at George Mason School of Law. She has also presented research at the 39th Telecommunications Policy Research Conference and has co-authored work published in the Northwestern Journal of Technology & Intellectual Property among other research projects. Her research interests include law and economics, regulatory analysis, and technology policy.

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AI-generated knowledge, bias mitigation, broadband infrastructure, data sparsity, large language models, narrative default, prompt engineering

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