We all know by now that the year 2020 was challenging for many businesses for a variety of reasons. With many states laying out restrictions, some businesses were thrust into e-commerce on zero notice, while other businesses were forced to think outside the box on how to reach their customers in new ways.
As we near the end of the year, there is a glimmer of hope: the COVID-19 vaccine has arrived in many states across the country and there is finally, after months of discussion, a distribution plan in place to get citizens vaccinated as soon as possible.
We all know that 2020 has brought about many changes in the way people live—and where they live. With the ability to work from anywhere, many people have begun to rethink their priorities when it comes to deciding on the place they choose to call home…and why.
There continue to be many widespread impacts of the coronavirus pandemic, and one we’ve been talking about a lot lately both here on the SiteSeer blog and with our clients is population migration.
If you’ve followed the SiteSeer blog for any amount of time, you know that at SiteSeer, we believe in blending art with science when making market and site decisions. A retailer or other business simply cannot expect that they’ll have wild success by throwing a dart at a map to choose their next location, nor can they pick locations based solely on what their forecasting models and site selection software tell them will be winners.
In March 2020, SiteSeer published its follow-up blog on the fastest-growing large micropolitan areas in the United States between the end of 2017 and the end of 2019.
If you’ve been following along, you know that during the months of April and May, SiteSeer was reporting weekly unemployment claims as a percentage in major metropolitan and micropolitan areas across the country. (Read our updates from 4/29, and for the weeks ended 4/27, 5/2, 5/9, 5/16, and our 6/26 update).
Our business is helping companies turn data into insights. And we can’t help but wonder: what does the data show when it comes to where coronavirus is most prevalent?