  The COVID-19 pandemic and related restrictions forced many to work, learn,
and socialize from home over the internet. There appears to be consensus that
internet infrastructure in the developed world handled the resulting traffic
surge well. In this paper, we study network measurement data collected by the
Federal Communications Commission's Measuring Broadband America program before
and during the pandemic in the United States (US). We analyze the data to
understand the impact of lockdown orders on the performance of fixed broadband
internet infrastructure across the US, and also attempt to correlate internet
usage patterns with the changing behavior of users during lockdown. We found
the key metrics such as change in data usage to be generally consistent with
the literature. Through additional analysis, we found differences between metro
and rural areas, changes in weekday, weekend, and hourly internet usage
patterns, and indications of network congestion for some users.
