The economic and mortality impacts of the COVID-19 pandemic have been widely discussed, but there is limited evidence on their relationship across demographic and geographic groups. We use publicly ...available monthly data from January 2011 through April 2020 on all-cause death counts from the Centers for Disease Control and Prevention and employment from the Current Population Survey to estimate excess all-cause mortality and employment displacement in April 2020 in the United States. We report results nationally and separately by state and by age group. Nationally, excess all-cause mortality was 2.4 per 10,000 individuals (about 30% higher than reported COVID deaths in April) and employment displacement was 9.9 per 100 individuals. Across age groups 25 y and older, excess mortality was negatively correlated with economic damage; excess mortality was largest among the oldest (individuals 85 y and over: 39.0 per 10,000), while employment displacement was largest among the youngest (individuals 25 to 44 y: 11.6 per 100 individuals). Across states, employment displacement was positively correlated with excess mortality (correlation = 0.29). However, mortality was highly concentrated geographically, with the top two states (New York and New Jersey) each experiencing over 10 excess deaths per 10,000 and accounting for about half of national excess mortality. By contrast, employment displacement was more geographically spread, with the states with the largest point estimates (Nevada and Michigan) each experiencing over 16 percentage points employment displacement but accounting for only 7% of the national displacement. These results suggest that policy responses may differentially affect generations and geographies.
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The impact of the coronavirus disease 2019 (COVID-19) pandemic has been starkly unequal across race and ethnicity. We examined the geographic variation in excess all-cause mortality by race and ...ethnicity to better understand the impact of the pandemic. We used individual-level administrative data on the US population between January 2011 and April 2020 to estimate the geographic variation in excess all-cause mortality by race and Hispanic origin. All-cause mortality allows a better understanding of the overall impact of the pandemic than mortality attributable to COVID-19 directly. Nationwide, adjusted excess all-cause mortality during that period was 6.8 per 10,000 for Black people, 4.3 for Hispanic people, 2.7 for Asian people, and 1.5 for White people. Nationwide averages mask substantial geographic variation. For example, despite similar excess White mortality, Michigan and Louisiana had markedly different excess Black mortality, as did Pennsylvania compared with Rhode Island. Wisconsin experienced no significant White excess mortality but had significant Black excess mortality. Further work understanding the causes of geographic variation in racial and ethnic disparities-the relevant roles of social and environmental factors relative to comorbidities and of the direct and indirect health effects of the pandemic-is crucial for effective policy making.
We use linked survey and administrative data to document and decompose the striking differences across demographic groups in both economic and health impacts of the first year of the COVID-19 ...pandemic in the United States. The impacts of the pandemic on all-cause mortality and on employment were concentrated in the same racial, ethnic, and education groups, with non-White individuals and those without a college degree experiencing higher excess all-cause mortality as well as a greater employment loss. Observable differences in living arrangements and the nature of work – which likely affected exposure to the virus and to economic contractions – can explain 15 percent of the Hispanic-White difference in excess mortality, almost one-quarter of the non- Hispanic Black-White difference, and almost half of the difference between those with and without a Bachelor’s degree; they can also explain 35 to 40 percent of the differences in economic damages between these groups. These findings underscore the importance of non-medical factors in contributing to the disparate impacts of public health shocks.
We use linked survey and administrative data to document and decompose the striking differences across demographic groups in both economic and health impacts of the first year of the COVID-19 ...pandemic in the United States. The impacts of the pandemic on all-cause mortality and on employment were concentrated in the same racial, ethnic, and education groups, with non-White individuals and those without a college degree experiencing higher excess all-cause mortality as well as a greater employment loss. Observable differences in living arrangements and the nature of work – which likely affected exposure to the virus and to economic contractions – can explain 15 percent of the Hispanic-White difference in excess mortality, almost one-quarter of the non- Hispanic Black-White difference, and almost half of the difference between those with and without a Bachelor’s degree; they can also explain 35 to 40 percent of the differences in economic damages between these groups. These findings underscore the importance of non-medical factors in contributing to the disparate impacts of public health shocks.
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