Workers of color accounted for two-thirds of pre-pandemic employment in industries losing jobs during Covid-19, thus job displacement likely was more heavily concentrated among such workers since they typically comprise a smaller share of managerial jobs less affected in such industries. The Covid-19 response and recovery was not equal for all: marginalized POC, low income, immigrant, and non-college educated groups faced large systematic barriers.The study recognizes the groups more drastically hindered in times of crisis. A more equitable distribution of resources allocated to prevent such disparities in employment impact and death rates would allow for a more even recovery for all workers. Furthermore, a coordinated work force system that responds to challenges and systematic barriers to employment for certain groups by advancing opportunities and understanding what pitfalls were most impactful in causing recovery disparity.
COVID-19 and Employment Rates for Varying Socioeconomic Groups in NYC
Group Members: Jennifer Chen, Brian Almazo, Harsimran Kaur, Mitchell Lipyansky
1 response to “COVID-19 and Employment Rates for Varying Socioeconomic Groups in NYC”
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I really like the way this poster is organized. Especially the graphs, they helped me visualize the five boroughs and the different communities that make up said boroughs.
I find it really interesting that this group decided to research the impacts of COVID-19 on unemployment. I agree, it is definitely important to research such topics so that we get a sense of where funding show go to help New Yorkers, especially marginalized communities who lack resources. This poster research reminds me of a NYT article that I read in class. The article discussed different neighborhoods in NYC and their COVID rates were and the percentage of people masking up. So that had me wondering what the research findings for 2 specific neighborhoods in the same borough would look like. For example, a neighborhood like Park Slope and Canarsie have very different demographics. I wonder how the percentages of the graphs would change.
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