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This article reviews sources of uncertainty in broadband provision data from Federal Communications Commission's Form 477 database, which is the largest publicly available broadband database for the United States. This uncertainty analysis reveals that reporting thresholds result in understating of broadband in rural areas serviced by smaller providers in the 1999–2004 ZIP code area dataset. In this same time series, the routine used to aggregate data to larger spatial units (i.e., counties) produces variations in the amount of autocorrelation detected by diagnostic spatial statistics. The amount of autocorrelation in the data also varies with the strategy implemented for interpolating suppressed data. This investigation also highlights the value of a spatial approach to visualizing and analyzing the impact of uncertainty on broadband availability. [ABSTRACT FROM AUTHOR]

There are concerns across government, industry, and academia over the inadequacies of data on broadband Internet connections. These inadequacies are important to consider because government policies and regulations, industry strategies, and scholarly research can be impacted by inaccurate or distorted data. Given that there are ongoing discussions about policy initiatives to improve these data, this article sets out to critically review publicly available data, identify important limitations of these data, and profile studies that have used these data successfully. In this review, the dynamic nature of broadband data will be discussed and the tradeoffs of pursuing further investments to create better databases evaluated. This evaluation suggests a more fruitful research path would be to recognize and work around existing data drawbacks, using the studies profiled in this article as examples, to explore a multitude of issues related to broadband availability, adoption, and use. [ABSTRACT FROM AUTHOR]