  Broadband connectivity is a key metric in today's economy. In an era of rapid
expansion of the digital economy, it directly impacts GDP. Furthermore, with
the COVID-19 guidelines of social distancing, internet connectivity became
necessary to everyday activities such as work, learning, and staying in touch
with family and friends. This paper introduces a publicly available U.S.
Broadband Coverage data set that reports broadband coverage percentages at a
zip code-level. We also explain how we used differential privacy to guarantee
that the privacy of individual households is preserved. Our data set also
contains error ranges estimates, providing information on the expected error
introduced by differential privacy per zip code. We describe our error range
calculation method and show that this additional data metric does not induce
any privacy losses.
