This post looks at pandemic impacts on the spending of lower-income metro residents.
The pandemic has already led to job loss in the most vulnerable occupations (and has even spread to other job sectors). Following job loss through a household's budget leads to more bad economic and social outcomes for those families. Decreased affordability of housing is an example. This Data Diversion provides an initial look at data that frame potential housing impacts of COVID-associated job loss.
So we've posted recently about mobility during COVID-19--how we have traveled less and when those declines happened. This week, we use the same data source (Safegraph) to look at how and when our pandemic-period mobility changes vary by industry sector.
Many of us have been home a lot lately--not necessarily home alone, but home--with the obvious goal of slowing the spread of COVID-19. How much have our movement patterns changed, and where and when did those patterns change the most? Check out a multi-featured dashboard for some custom insights.
COVID-19 has led to dramatic shifts in our professional and ecucational lives. Far more workers telecommute in this "Corona World", and almost all students have to attend classes remotely. But this "remote world" is not as readily available to all of us. The maps in this post show shares of households wiith internet access (and conversely, those without), along with the shares of resident workers employed in office jobs to which they could likely telecommute.
Social distancing is not far from the top of our minds these days. What difference has it made to mobility? See this dashboard for answers!
April 1 this year is known in data circles not as April Fools Day, but rather as Census Day. In these times of pandemic, response to this decennial data collecton effort is even more critical than usual.
With case numbers continuing to rise, the economic impact of COVID-19 continues to grow. This post's interactive maps overlay cases by county with measures of economic vulnerability.
As we've all heard, our older adults have high vulnerability to coronavirus. This post provides some interactive maps that take a look at how our 65+ and 85+ populations are distributed across the state, in absolute and percentage terms.
Interactive maps taking a look at how our black, non-Hispanic population is distributed across the state today and how things have (or haven't) changed since 2000.