Which jobs are recovering the most quickly from COVID losses?
Our estimates show strong recovery in personal services jobs, and new losses in transportation.
According to industry-level Bureau of Labor
Statistics data, employment figures were at their worst in April 2020. We created career-level estimates to ferret out the fastest recoveries and the workers who are still
feeling the most pain.
Which jobs have recovered the most?
We see lots of growth in the personal services -- the people who tend to our appearance
in life and after we die -- as well as growth for jobs that enable some entertainment and
nourishment outside our homes. We note that although the picture has improved greatly
for these workers, it’s still rough with about a fourth of the workforce still missing.
Career-level COVID impacts
Selecting a career will take you to Ididio’s career page.
2020 BLS Current Employment
2017 ACS microdata
Which workers are hurting more in July than they were in April?
Select the “Change July vs. April” and the table will show you jobs who lost
workers from April 2020 to July 2020. It seems that many transportation and
tried to keep workers on their employment rolls, and eventually
were forced for furlough.
Which workers are still hurting the most?
Let’s sort the table one more time, and select the “Estimated change Jan to Jul”
header. Here we that performers and athletes are experiencing the highest
job losses, with 2020 employment losses approaching 50%.
Unfortunately, monthly employment data is typically available by
industry rather than by career, so we had to get a bit creative to estimate the
change in employment.
We began with our aggregations from the American Community Survey
a few exceptions, we’re able to classify each worker surveyed by occupation and
by a 3-digit NAICS
industry identification. In some cases, the 2-digit classification is all that is
available, and in a few cases a hybrid designation is assigned.
For each ACS job designation, we calculated the percentage of workers within
each industry classification as described above. We also calculated a distribution
for the education attained and the 10th, 25th, 50th, 75th, and 90th salary percentiles for each
ACS job designation.
We then used recently released data from the Bureau of Labor Statistic’s (BLS) Current
program to calculate the percentage of employment change
from January 2020 to April 2020 by the 2- and 3-digit NAICS classifications. We chose April because that is the month with the
smallest total employment reported by Current Employment Statistics during the pandemic.
We then created the same percentage from January 2020 to July 2020, and we calculated the
relative percentage of recovery using these two change figures.
In our final step, we combined the BLS employment data with the ACS survey data. For
each job designation, we used the percentage within each industry classification
as weights to average the percentage of employment change calculated using the BLS
data. For the few industry designations that did not match the 2- and 3-digit NAICS
data from the BLS, we simply omitted those workers from our calculation.