What to watch on jobs day: An improving labor market, but rising long-term unemployment and a significant jobs shortfall are still causes for concern

When the April jobs report comes out tomorrow from the Bureau of Labor Statistics, I expect another month of strong job growth. Progress on the production and distribution of the vaccine, as well as forthcoming aid to state and local governments and direct assistance to workers and their families, means that the labor market should pick up steam. And that’s much needed, because the U.S. economy is still facing a significant jobs shortfall between 9.1 million and 11.0 million jobs, as I show below.

As of the latest March 2021 data, employment is down 8.4 million jobs from its pre-pandemic level in February 2020. In addition, thousands of jobs would have been added each month over the last year without the pandemic recession.

I consider two plausible counterfactuals for how many jobs may have been created if the recession hadn’t hit, as shown in the figure below. First, we could simply add enough jobs to keep up with population growth. There was a noticeable slowdown in ages 16+ population growth early in the pandemic; however, on average, we still would have needed a minimum of 54,000 jobs a month just to keep up with that growth.

Alternatively, we could count how many jobs may have been added if we took pre-recession growth in payroll employment and extended that forward. Average monthly job growth over the 12 months prior the recession was 202,000. Using these reasonable counterfactuals, we are now short between 9.1 million and 11.0 million jobs since February 2020. When the latest job numbers are released tomorrow, we should not only look at the difference in jobs between now and February 2020, but also what could have been if the economy continued growing over the last year.

Jobs day

Measuring the job shortfall since February 2020 : Actual and counterfactual employment, September 2019–March 2021

Date Actual nonfarm payroll employment Employment if it had continued growing at the pre-recession level Employment if it had grown with population growth since February 2020
Sep-2019 151,329
Oct-2019 151,524
Nov-2019 151,758
Dec-2019 151,919
Jan-2020 152,234
Feb-2020 152,523 152,523 152,523
Mar-2020 150,840 152,725 152,577
Apr-2020 130,161 152,928 152,631
May-2020 132,994 153,130 152,685
Jun-2020 137,840 153,332 152,738
Jul-2020 139,566 153,535 152,792
Aug-2020 141,149 153,737 152,846
Sep-2020 141,865 153,939 152,900
Oct-2020 142,545 154,142 152,954
Nov-2020 142,809 154,344 153,008
Dec-2020 142,503 154,546 153,061
Jan-2021 142,736 154,749 153,115
Feb-2021 143,204 154,951 153,169
Mar-2021 144,120 155,153 153,223
ChartData Download data

The data below can be saved or copied directly into Excel.

Notes: Payroll employment growth averaged 202,000 in the 12 months leading up to the pandemic recession. Population-adjusted employment growth applies population growth in the latest month since February 2020 to payroll employment and interpolates in the intervening years. Seasonally adjusted population growth is backed out from seasonally adjusted data on employment and EPOPs.

Source: EPI analysis of Bureau of Labor Statistics Current Population Survey public data series.

Copy the code below to embed this chart on your website.

While the overall jobs shortfall is useful to track, we also need to pay attention to the latest numbers across various sectors of the economy. In March, we started to see a significant uptick in low-wage leisure and hospitality employment. If we get continued job growth like we saw last month in this sector, it will provide further evidence against mostly anecdotal claims of labor shortages. As my colleague Heidi Shierholz explains, claims of labor shortages are likely overblown. Wage growth would be accelerating if there were actual labor shortages as employers compete for workers, but that isn’t happening. It is plausible that some workers may be staying out of the labor force because they are unwilling to accept low wages with the added risks of physically going to work while the pandemic continues to spread, but, again, we’d be seeing accelerating wage growth to entice these workers if this were happening in large numbers. Furthermore, on the specific question of whether the pandemic unemployment insurance programs’ increased generosity is keeping workers out of the labor force, Heidi points to several rigorous papers that find no evidence that these programs have kept people from taking jobs in the recent past.

As the recovery takes hold, we also need to continue tracking which workers are being left behind. The pandemic exacerbated stark and persistent racial and ethnic disparities that remain in the labor market today. One example is seen by looking at the unemployment rate across race and ethnic groups. Before the pandemic, the unemployment rate for Black workers was higher than the current unemployment rate for white workers. Now, the current unemployment rate for Black workers is 9.6%, almost as high as the peak for all workers in the aftermath of the Great Recession.

Jobs Day

Unemployment rate of workers age 16 and older by race and ethnicity, January 2020–March 2024

 

Date White Black Hispanic AAPI
Jan-2020 3.1% 6.3% 4.3% 3%
Feb-2020 3%  6% 4.4% 2.5%
Mar-2020 3.9% 6.8% 5.9% 4.1%
Apr-2020 14.1% 16.6% 18.8% 14.4%
May-2020 12.3% 16.8% 17.6% 14.8%
Jun-2020 10.0% 15.2% 14.5% 13.8%
Jul-2020 9.2% 14.4% 12.8% 11.9%
Aug-2020 7.4% 12.8% 10.6% 10.6%
Sep-2020 7.0% 12.1% 10.4% 8.9%
Oct-2020 6.0% 10.9% 8.9% 7.6%
Nov-2020 6.0% 10.4% 8.6% 6.8%
Dec-2020 6.1% 10.0% 9.4% 6.1%
Jan-2021 5.7% 9.2% 8.6% 6.6%
Feb-2021 5.5% 9.8% 8.4% 5.1%
Mar-2021 5.3% 9.5% 7.7% 5.9%
Apr-2021 5.3% 9.7% 7.7% 5.7%
May-2021 5.1% 9.1% 7.1% 5.5%
Jun-2021 5.3% 9.2% 7.2% 5.7%
Jul-2021 4.8% 8.2% 6.4% 5.2%
Aug-2021 4.5% 8.7% 6.2% 4.5%
Sep-2021 4.2% 7.8% 6.1% 4.2%
Oct-2021 3.9% 7.8% 5.7% 4.2%
Nov-2021 3.7% 6.5% 5.2% 3.9%
Dec-2021 3.2%  7.1%  4.9%  3.8% 
Jan-2022 3.4% 6.9% 4.9% 3.6%
Feb-2022 3.3% 6.6%  4.4%  3.1% 
Mar-2022 3.2%  6.2% 4.2%  2.8% 
Apr-2022 3.2% 5.9% 4.1% 3.1%
May-2022 3.2% 6.2%  4.3%  2.4% 
Jun-2022 3.3%  5.8%  4.3%  3%
Jul-2022 3.1%  5.8%  3.9%  2.6% 
Aug-2022 3.2%  6.4%  4.5%  2.8% 
Sep-2022 3.1%  5.9%  3.9%  2.5% 
Oct-2022 3.3%  5.9%  4.2%  2.9% 
Nov-2022 3.3% 5.7%  4%  2.6% 
Dec-2022 3% 5.7%  4.1% 2.4% 
Jan-2023 3.1%  5.4%  4.5%  2.8% 
Feb-2023 3.2%  5.7% 5.3%  3.4%
Mar-2023 3.2% 5.0% 4.6% 2.8%
Apr-2023 3.1%  4.7%  4.4%  2.8% 
May-2023 3.3 5.6  2.9 
Jun-2023 3.1  6.0  4.3  3.2 
Jul-2023 3.1  5.8  4.4  2.3 
Aug-2023 3.4  5.3  4.9  3.1 
Sept-2023 3.4%  5.7%  4.6%  2.8%
Oct-2023 3.5%  5.8%  4.8%  3.1% 
Nov-2023 3.3% 5.8% 4.6% 3.5%
Dec-2023 3.5% 5.2% 5.0% 3.1%
Jan-2024 3.4%  5.3%  5.0%  2.9% 
Feb-2024 3.4% 5.6%  5.0% 3.4%
Mar-2024 3.4% 6.4% 4.5% 2.5%
ChartData Download data

The data below can be saved or copied directly into Excel.

Note: AAPI refers to Asian American and Pacific Islander. Racial and ethnic categories are not mutually exclusive; white and Black data do not exclude Latinx workers of each race.

Source: EPI analysis of Bureau of Labor Statistics’ Current Population Survey public data. 

Copy the code below to embed this chart on your website.

Elevated unemployment rates are concerning as are the growing numbers of workers who are unemployed for longer and longer spells. In September and October 2020, the number of workers unemployed for 27+ weeks shot up as the pandemic recession dragged on for over six months. In the last couple of months, the number of workers with unemployment durations of at least 52 weeks rose dramatically from 915,000 in January 2021 to 2.3 million in March 2021. The figure below breaks out the unemployed population by length of unemployment spell. Although all expectations are for a strong growth in jobs, I fear that those who are 52+ weeks unemployed will also continue to grow.

As it becomes safe to expand employment—as public health indicators continue to improve with vaccine distribution—we need to make sure that job opportunities improve for all corners of the labor market.

Economic indicators

Number of workers at each level of unemployment duration, by month, February 2020–March 2024

date Less than 5 weeks 5–14 weeks 15–26 weeks 27–51 weeks 52 weeks and over
Feb 20 2,105 1,785 766 408 717
Mar 20 3,422 1,860 836 290 792
Apr 20 14,261 7,066 713 453 512
May 20 3,868 14,806 1,077 587 537
Jun 20 2,896 11,522 1,923 731 624
Jul 20 3,152 5,145 6,498 782 736
Aug 20 2,336 3,105 6,491 876 777
Sep 20 2,547 2,735 4,921 1611 836
Oct 20 2,466 2,342 2,624 2785 815
Nov 20 2,487 2,440 1,878 3066 871
Dec 20 2,902 2,344 1,590 3083 872
Jan 21 2,291 2,474 1,321 3080 975
Feb 21 2,216 2,214 1,399 2900 1218
Mar 21 2,179 1,991 1,386 1864 2310
Apr 21 2,409 1,992 1,256 1528 2525
May 21 1,998 2,181 1,240 1278 2479
Jun 21 1,985 2,188 1,387 1345 2588
Jul 21 2,257 1,836 1,134 1230 2278
Aug 21 2,103 1,914 1,206 967 2188
Sep 21 2,238 1,720 979 825 1917
Oct 21 2,049 1,875 969 669 1714
Nov 21 1,988 1,682 880 621 1570
Dec 21 1,974 1,595 823 555 1413
Jan 22 2,472 1,611 786 432 1283
Feb 22 2,145 1,768 803 349 1266
Mar 22 2,305 1,723 567 338 1084
Apr 22 2,277 1,608 647 351 1003
May 22 2,030 1,757 696 411 922
Jun 22 2,240 1,536 816 426 870
Jul 22 2,097 1,849 656 342 824
Aug 22 2,214 1,828 864 371 810
Sep 22 2,156 1,619 822 468 696
Oct 22 2,189 1,803 775 454 762
Nov 22 2,247 1,665 815 438 791
Dec 22 2,218 1,645 792 462 644
Jan 23 1,942 1,795 929 349 724
Feb 23 2,294 1,838 812 406 645
Mar 23 2,279 1,765 797 369 681
Apr 23 1,867 1,920 748 396 693
May 23 2,080 1,863 911 417 715
Jun 23 2,065 1,850 905 448 669
Jul 23 2,007 1,741 956 515 690
Aug 23 2,224 1,913 970 569 757
Sep 23 2,053 2,043 985 560 743
Oct 23 2,269 1,836 1,079 509 782
Nov 23 2,069 2,060 931 574 646
Dec 23 2,191 1,791 1,104 508 737
Jan 24 2,140 1,848 867 529 748
Feb 24 2,326 1,933 974 402 801
Mar 24 2,189 1,979 982 412 834
ChartData Download data

The data below can be saved or copied directly into Excel.

Notes: Data are seasonally adjusted. Seasonally adjusted data for Less than 5 weeks, 5-14 weeks, 15-26 weeks, and 27+ weeks are provided by BLS. Seasonally adjusted data are not available for 52+ so we applied the ratio of not-seasonally adjusted 52+ to not-seasonally adjusted 27+ to the seasonally adjusted 27+ to impute a seasonally adjusted 52+. Seasonally adjusted data for 27-51 is estimated as the difference between our estimated 52+ seasonally adjust data and the 27+ seasonally adjusted data.

Source: EPI analysis of Bureau of Labor Statistics Current Population Survey public data series.

Copy the code below to embed this chart on your website.