Class of 2024: Young high school graduates have seen strong wage growth over the pandemic recovery

Key findings:

  • In the pandemic recovery, young high school graduates have experienced a much faster rebound in job prospects and stronger wage growth than any recovery in recent history.
    • The unemployment rate for young high school graduates—defined as workers ages 18 to 21—recovered in two years in the pandemic recovery compared with almost 9.5 years following the Great Recession of 2008–09. Meanwhile, the underemployment rate recovered more than five times faster in the pandemic recovery than the aftermath of the Great Recession.
    • Young high school graduates experienced 9.4% real (inflation-adjusted) wage growth between February 2020 and March 2024.
  • Gaps in labor market outcomes across race and ethnicity and gender persist even among high school graduates who have the same basic level of education and little variation in professional experience.
    • The unemployment and underemployment rates of Black, Hispanic, and AAPI young high school graduates are much higher than their white counterparts.
    • On average, Black workers are paid 93.2% of what white workers are paid per hour, while women are paid 87.6% compared with their male counterparts.

As with young college graduates, young high school graduates are experiencing a much stronger labor market today than before the pandemic and at any point since 2000. The fast economic recovery from the pandemic shock is a direct result of the aggressive fiscal policy response that matched the scale of the problem—in stark contrast to policy responses following previous recessions.

In this blog post, we start by examining employment and enrollment outcomes for young high school graduates, defined as workers ages 18 to 21. We then analyze their short- and long-run trends in unemployment, underemployment, and wages, looking at those with only a high school degree and who are not enrolled in further schooling.1

To most accurately capture the choices that young high school graduates are making, we include all young people between the ages of 18 and 21 who have less than a bachelor’s degree (including those with some college) in our initial sample. We group this population into four categories: “employed only” and not enrolled in further schooling, “enrolled only” and not employed, employed and enrolled, or “idled” (not enrolled and not employed, which includes the unemployed). Among these young high school graduates, most are either “employed only” and not enrolled in further schooling (32.7%) or “enrolled only” and not employed (31.1%). Since 1989, the share of young high school graduates who are “employed only” has fallen 11.8 percentage points, while the share of those who are “enrolled only” has risen 10.1 percentage points. As of March 2024, the share of young high school graduates who are employed and enrolled (21.5%) and idled (14.7%) remains roughly similar from 1989 (21.0% and 13.5%, respectively).

Next, we narrow the sample of young high school graduates to those who are not currently enrolled in further schooling to assess the labor market for those making work their primary activity. The unemployment and underemployment rates for young high school graduates rose sharply during the Great Recession and the pandemic (Figure A). The unemployment rate reflects the share of the young high school graduate population who are jobless yet have reported that they are actively seeking work. Unemployment rates for high school graduates recovered nearly five times faster after the pandemic (two years, February 2020 to February 2022) compared with the Great Recession of 2008–09 (9.5 years, December 2007 to May 2017).

Figure A also shows that the underemployment rate for young high school graduates recovered in just under two years after the onset of the pandemic (February 2020 to December 2021) but took more than 10.5 years after the Great Recession (December 2007 to July 2018). This rate includes the unemployed plus “involuntary” part-timers (those who work part time but want full-time work) and “marginally attached” workers (those who want a job and have looked for work in the last year but have given up actively seeking work in the last four weeks and therefore are not captured in the official unemployment rate). Notably, the underemployment rate of young high school graduates has never returned to its low point in the tight labor market in 2000.

Figure A

Young high school graduates recovered much faster in pandemic business cycle compared with the Great Recession: Unemployment and underemployment for high school graduates (ages 18–21) not enrolled in further schooling, 2000–2024

Date Unemployment rate Underemployment rate
Jan-1995 13.5% 25.5%
Feb-1995 13.2% 25.3%
Mar-1995 13.1% 25.1%
Apr-1995 13.1% 25.1%
May-1995 13.2% 24.9%
Jun-1995 13.4% 25.0%
Jul-1995 13.4% 25.1%
Aug-1995 13.4% 24.8%
Sep-1995 13.5% 24.9%
Oct-1995 13.6% 24.7%
Nov-1995 13.6% 24.6%
Dec-1995 13.8% 24.8%
Jan-1996 14.0% 24.8%
Feb-1996 14.3% 24.8%
Mar-1996 14.2% 24.5%
Apr-1996 14.1% 24.4%
May-1996 14.2% 24.5%
Jun-1996 14.0% 24.2%
Jul-1996 14.0% 24.2%
Aug-1996 14.0% 24.1%
Sep-1996 14.0% 24.1%
Oct-1996 14.0% 24.2%
Nov-1996 14.1% 24.1%
Dec-1996 14.2% 24.1%
Jan-1997 14.2% 24.3%
Feb-1997 14.2% 24.5%
Mar-1997 14.1% 24.5%
Apr-1997 14.1% 24.6%
May-1997 13.9% 24.3%
Jun-1997 14.0% 24.2%
Jul-1997 13.9% 23.9%
Aug-1997 13.9% 23.9%
Sep-1997 13.8% 23.7%
Oct-1997 13.7% 23.6%
Nov-1997 13.6% 23.3%
Dec-1997 13.4% 23.0%
Jan-1998 13.1% 22.6%
Feb-1998 13.0% 22.3%
Mar-1998 12.9% 22.1%
Apr-1998 12.7% 21.9%
May-1998 12.7% 22.1%
Jun-1998 12.6% 21.9%
Jul-1998 12.4% 21.6%
Aug-1998 12.3% 21.4%
Sep-1998 12.2% 21.3%
Oct-1998 12.0% 20.9%
Nov-1998 11.8% 20.8%
Dec-1998 11.7% 20.6%
Jan-1999 11.7% 20.6%
Feb-1999 11.6% 20.5%
Mar-1999 11.4% 20.5%
Apr-1999 11.4% 20.3%
May-1999 11.3% 20.0%
Jun-1999 11.1% 19.8%
Jul-1999 11.2% 19.9%
Aug-1999 11.1% 19.8%
Sep-1999 11.1% 19.8%
Oct-1999 11.2% 19.7%
Nov-1999 11.4% 19.8%
Dec-1999 11.5% 19.7%
Jan-2000 11.40% 19.60%
Feb-2000 11.40% 19.40%
Mar-2000 11.50% 19.40%
Apr-2000 11.50% 19.30%
May-2000 11.50% 19.30%
Jun-2000 11.60% 19.30%
Jul-2000 11.50% 19.10%
Aug-2000 11.60% 19.10%
Sep-2000 11.40% 18.90%
Oct-2000 11.30% 19.00%
Nov-2000 11.30% 18.90%
Dec-2000 11.30% 18.90%
Jan-2001 11.30% 19.00%
Feb-2001 11.30% 19.10%
Mar-2001 11.20% 18.90%
Apr-2001 11.30% 19.10%
May-2001 11.30% 19.00%
Jun-2001 11.40% 19.20%
Jul-2001 11.50% 19.30%
Aug-2001 11.60% 19.40%
Sep-2001 11.90% 19.90%
Oct-2001 12.20% 20.40%
Nov-2001 12.50% 21.00%
Dec-2001 12.80% 21.60%
Jan-2002 13.10% 21.80%
Feb-2002 13.50% 22.30%
Mar-2002 13.90% 22.90%
Apr-2002 14.20% 23.20%
May-2002 14.50% 23.50%
Jun-2002 14.70% 23.90%
Jul-2002 15.10% 24.40%
Aug-2002 15.20% 24.70%
Sep-2002 15.30% 24.90%
Oct-2002 15.20% 24.70%
Nov-2002 15.20% 24.70%
Dec-2002 15.00% 24.50%
Jan-2003 15.20% 24.90%
Feb-2003 15.20% 24.90%
Mar-2003 15.10% 24.90%
Apr-2003 15.10% 25.00%
May-2003 15.30% 25.20%
Jun-2003 15.50% 25.30%
Jul-2003 15.60% 25.70%
Aug-2003 15.70% 25.90%
Sep-2003 15.80% 26.00%
Oct-2003 16.00% 26.40%
Nov-2003 16.30% 26.50%
Dec-2003 16.30% 26.60%
Jan-2004 16.10% 26.50%
Feb-2004 15.90% 26.40%
Mar-2004 16.00% 26.50%
Apr-2004 16.00% 26.40%
May-2004 15.90% 26.40%
Jun-2004 15.60% 26.50%
Jul-2004 15.60% 26.10%
Aug-2004 15.40% 25.90%
Sep-2004 15.40% 25.80%
Oct-2004 15.30% 25.80%
Nov-2004 15.10% 25.70%
Dec-2004 15.00% 25.60%
Jan-2005 15.00% 25.50%
Feb-2005 15.10% 25.40%
Mar-2005 15.10% 25.40%
Apr-2005 15.20% 25.40%
May-2005 15.20% 25.40%
Jun-2005 15.40% 25.40%
Jul-2005 15.20% 25.40%
Aug-2005 15.30% 25.50%
Sep-2005 15.20% 25.40%
Oct-2005 15.00% 25.00%
Nov-2005 14.80% 24.60%
Dec-2005 14.60% 24.40%
Jan-2006 14.70% 24.40%
Feb-2006 14.70% 24.30%
Mar-2006 14.60% 24.10%
Apr-2006 14.70% 24.20%
May-2006 14.60% 24.00%
Jun-2006 14.40% 23.80%
Jul-2006 14.50% 23.70%
Aug-2006 14.50% 23.70%
Sep-2006 14.50% 23.70%
Oct-2006 14.60% 24.00%
Nov-2006 14.70% 24.20%
Dec-2006 14.80% 24.40%
Jan-2007 14.60% 24.30%
Feb-2007 14.40% 24.20%
Mar-2007 14.30% 24.20%
Apr-2007 14.10% 24.10%
May-2007 14.00% 24.10%
Jun-2007 14.10% 24.10%
Jul-2007 14.10% 24.20%
Aug-2007 14.10% 24.10%
Sep-2007 14.00% 24.10%
Oct-2007 14.00% 23.90%
Nov-2007 13.90% 23.90%
Dec-2007 14.1% 24.1%
Jan-2008 14.30% 24.30%
Feb-2008 14.50% 24.70%
Mar-2008 14.90% 25.20%
Apr-2008 15.00% 25.50%
May-2008 15.20% 25.90%
Jun-2008 15.40% 26.30%
Jul-2008 15.80% 26.90%
Aug-2008 16.00% 27.20%
Sep-2008 16.50% 27.70%
Oct-2008 16.80% 28.40%
Nov-2008 17.20% 29.10%
Dec-2008 17.50% 29.80%
Jan-2009 18.10% 30.70%
Feb-2009 18.80% 31.70%
Mar-2009 19.30% 32.60%
Apr-2009 19.90% 33.60%
May-2009 20.50% 34.60%
Jun-2009 21.20% 35.60%
Jul-2009 21.80% 36.60%
Aug-2009 22.60% 37.90%
Sep-2009 23.10% 38.80%
Oct-2009 24.00% 39.80%
Nov-2009 24.70% 40.60%
Dec-2009 25.20% 41.20%
Jan-2010 25.60% 41.60%
Feb-2010 25.90% 42.00%
Mar-2010 26.00% 42.20%
Apr-2010 26.20% 42.30%
May-2010 26.10% 42.20%
Jun-2010 26.10% 42.10%
Jul-2010 26.00% 41.90%
Aug-2010 25.80% 41.80%
Sep-2010 25.90% 41.90%
Oct-2010 25.60% 41.70%
Nov-2010 25.40% 41.90%
Dec-2010 25.30% 41.90%
Jan-2011 25.20% 41.90%
Feb-2011 25.00% 41.60%
Mar-2011 25.10% 41.70%
Apr-2011 24.90% 41.70%
May-2011 24.90% 41.80%
Jun-2011 24.90% 41.90%
Jul-2011 25.10% 42.40%
Aug-2011 25.10% 42.50%
Sep-2011 24.90% 42.30%
Oct-2011 24.80% 42.30%
Nov-2011 24.80% 42.10%
Dec-2011 24.70% 41.90%
Jan-2012 24.50% 41.60%
Feb-2012 24.40% 41.50%
Mar-2012 24.20% 40.90%
Apr-2012 24.20% 40.70%
May-2012 24.20% 40.60%
Jun-2012 24.30% 40.40%
Jul-2012 24.00% 40.00%
Aug-2012 23.90% 39.90%
Sep-2012 23.80% 39.90%
Oct-2012 23.80% 39.80%
Nov-2012 23.70% 39.80%
Dec-2012 23.60% 39.80%
Jan-2013 23.50% 39.80%
Feb-2013 23.30% 39.70%
Mar-2013 23.20% 39.80%
Apr-2013 23.00% 39.60%
May-2013 22.80% 39.50%
Jun-2013 22.90% 39.60%
Jul-2013 22.60% 39.40%
Aug-2013 22.70% 39.20%
Sep-2013 22.70% 39.00%
Oct-2013 22.60% 38.90%
Nov-2013 22.30% 38.60%
Dec-2013 21.70% 38.10%
Jan-2014 21.40% 37.70%
Feb-2014 21.20% 37.60%
Mar-2014 21.30% 37.50%
Apr-2014 21.00% 37.10%
May-2014 20.80% 36.80%
Jun-2014 20.30% 36.50%
Jul-2014 20.20% 36.30%
Aug-2014 19.70% 36.00%
Sep-2014 19.40% 35.40%
Oct-2014 19.00% 35.00%
Nov-2014 18.90% 34.80%
Dec-2014 18.90% 34.50%
Jan-2015 18.80% 34.20%
Feb-2015 18.60% 33.90%
Mar-2015 18.30% 33.60%
Apr-2015 18.00% 33.30%
May-2015 17.80% 33.10%
Jun-2015 17.60% 32.70%
Jul-2015 17.30% 32.30%
Aug-2015 17.10% 32.00%
Sep-2015 16.80% 31.80%
Oct-2015 16.60% 31.50%
Nov-2015 16.40% 31.10%
Dec-2015 16.50% 31.00%
Jan-2016 16.30% 30.80%
Feb-2016 16.10% 30.40%
Mar-2016 16.00% 30.00%
Apr-2016 16.10% 29.80%
May-2016 16.00% 29.50%
Jun-2016 16.00% 29.50%
Jul-2016 15.90% 29.30%
Aug-2016 15.70% 28.80%
Sep-2016 15.80% 28.80%
Oct-2016 15.70% 28.70%
Nov-2016 15.70% 28.60%
Dec-2016 15.40% 28.20%
Jan-2017 15.10% 27.90%
Feb-2017 15.10% 27.80%
Mar-2017 14.70% 27.30%
Apr-2017 14.30% 27.10%
May-2017 14.1% 26.70%
Jun-2017 13.80% 26.20%
Jul-2017 13.50% 25.70%
Aug-2017 13.50% 25.80%
Sep-2017 13.30% 25.50%
Oct-2017 13.00% 25.10%
Nov-2017 12.90% 24.80%
Dec-2017 12.90% 24.70%
Jan-2018 12.80% 24.60%
Feb-2018 12.60% 24.30%
Mar-2018 12.60% 24.30%
Apr-2018 12.70% 24.20%
May-2018 12.70% 24.30%
Jun-2018 12.70% 24.20%
Jul-2018 12.70% 24.1%
Aug-2018 12.50% 23.80%
Sep-2018 12.40% 23.60%
Oct-2018 12.60% 23.90%
Nov-2018 12.30% 23.80%
Dec-2018 12.00% 23.60%
Jan-2019 12.00% 23.60%
Feb-2019 12.10% 23.70%
Mar-2019 12.20% 23.90%
Apr-2019 12.20% 23.80%
May-2019 12.20% 23.60%
Jun-2019 12.30% 23.70%
Jul-2019 12.20% 23.60%
Aug-2019 12.20% 23.60%
Sep-2019 12.30% 23.60%
Oct-2019 12.20% 23.40%
Nov-2019 12.40% 23.40%
Dec-2019 12.80% 23.70%
Jan-2020 13.00% 23.70%
Feb-2020 13.0% 23.8%
Mar-2020 13.20% 24.10%
Apr-2020 14.40% 25.50%
May-2020 15.30% 26.90%
Jun-2020 16.10% 27.90%
Jul-2020 17.10% 29.20%
Aug-2020 17.70% 29.70%
Sep-2020 18.20% 30.30%
Oct-2020 18.30% 30.40%
Nov-2020 18.50% 30.60%
Dec-2020 18.70% 30.90%
Jan-2021 18.70% 31.00%
Feb-2021 18.80% 31.10%
Mar-2021 19.00% 31.10%
Apr-2021 17.90% 29.80%
May-2021 17.10% 28.40%
Jun-2021 16.50% 27.40%
Jul-2021 15.50% 26.40%
Aug-2021 15.10% 25.80%
Sep-2021 14.50% 24.90%
Oct-2021 14.30% 24.50%
Nov-2021 14.10% 24.30%
Dec-2021 13.70% 23.7%
Jan-2022 13.30% 23.10%
Feb-2022 13.0% 22.70%
Mar-2022 12.70% 22.20%
Apr-2022 12.50% 21.90%
May-2022 12.30% 21.60%
Jun-2022 12.00% 21.10%
Jul-2022 11.80% 20.70%
Aug-2022 11.60% 20.70%
Sep-2022 11.60% 20.70%
Oct-2022 11.60% 20.60%
Nov-2022 11.40% 20.20%
Dec-2022 11.40% 20.20%
Jan-2023 11.50% 20.30%
Feb-2023 11.60% 20.40%
Mar-2023 11.40% 20.30%
Apr-2023 11.20% 20.20%
May-2023 11.20% 20.20%
Jun-2023 11.10% 20.20%
Jul-2023 11.40% 20.50%
Aug-2023 11.40% 20.60%
Sep-2023 11.40% 20.60%
Oct-2023 11.50% 20.80%
Nov-2023 11.50% 21.00%
Dec-2023 11.50% 21.10%
Jan-2024 11.60% 21.20%
Feb-2024 11.60% 21.50%
Mar-2024 11.70% 21.50%
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Notes: This series is based on 12-month moving averages. The most recent data point uses pooled data from April 2023 through March 2024. Data sample includes only those high school graduates ages 18–21 who have not attained a college degree and who are not enrolled in further schooling. Shaded areas indicate recessions.

Source: EPI analysis of the Current Population Survey basic monthly microdata, EPI Current Population Survey Extracts, Version 1.0.51 (2024), https://microdata.epi.org

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Despite the fast recovery in the pandemic recession, gaps still remain between Black, Hispanic, and Asian American and Pacific Islander (AAPI) high school graduates and their white counterparts, as shown in Figure B. If labor markets were well-functioning and free of discrimination, we would expect little disparity in the unemployment rates of young high school graduates given that they have the same basic level of education and are in the same labor market position. However, in the 36 months ending in March 2024, Black (18.8%), AAPI (12.8%) and Hispanic (12.0%) graduates have much higher unemployment rates than white graduates (9.5%). This suggests that other factors such as discrimination or unequal access to job networks and opportunities play a role. Young Black high school graduates’ underemployment rates are significantly higher than any other group, which demonstrates that a much larger share of Black graduates is either discouraged from the job search or is working part time when they would rather work full time.

Figure B

Black, Hispanic, and AAPI high school graduates face higher unemployment and underemployment rates: Unemployment and underemployment rates for young workers ages 18–21 with a high school degree and who are not enrolled, by race/ethnicity, March 2024

White Black Hispanic Asian
Unemployment rate 9.5% 18.8% 12.0% 12.8%
Underemployment rate 18.0% 29.0% 22.6% 20.8%
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Notes: Data represent an average of the 36 months ending in March 2024. AAPI refers to Asian American and Pacific Islander. Race and ethnicity categories are mutually exclusive (i.e., white non-Hispanic, Black non-Hispanic, AAPI non-Hispanic, and Hispanic any race).

Source: EPI analysis of the Current Population Survey Outgoing Rotation Group microdata, EPI Current Population Survey Extracts, Version 1.0.51 (2024), https://microdata.epi.org

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Young high school graduates experienced real (inflation-adjusted) wage growth for the first time this early in a recovery compared with the prior three business cycles (Figure C). Even after accounting for unusually fast inflation, real wage growth between February 2020 and March 2024 was 9.4% for young high school graduates. By comparison, young high school graduates faced stark wage losses of 10.6% after the Great Recession, 4.3% between 2001–2005, and 5.5% between 1990–1994. This means that real wage growth in the pandemic business cycle was a tremendous 20.0 percentage points faster than in the aftermath of the Great Recession, 13.7 percentage points faster than between 2001–2005, and 14.9 percentage points faster than between 1990–1994. 

Figure C

Young workers have experienced strongest wage growth in the pandemic business cycle: Real wage changes for high school graduates four years from prior peak, in current and last three business cycles

High school graduates, 18-21
Jul 1990 – 
Aug 1994
-5.5%
Mar 2001 –
Apr 2005
-4.3%
Dec 2007 –
Jan 2012
-10.6%
Feb 2020 –
Mar 2024
9.4%
ChartData Download data

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

Notes: This series is based on 12-month moving averages. The most recent data point uses pooled data from April 2023 through March 2024. Data sample includes only those high school graduates ages 18–21 who have not attained a high school degree and who are not enrolled in further schooling.

Source: EPI analysis of the Current Population Survey Outgoing Rotation Group microdata, EPI Current Population Survey Extracts, Version 1.0.51 (2024), https://microdata.epi.org

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Despite this positive wage growth, Black-white and gender wage gaps remain significant even among young high school graduates who have equal levels of education and very little variation in work experience. Compared with young college graduates, young high school graduates experience smaller wage gaps across race and ethnicity and gender in part due to crucial policies such as the minimum wage. Figure D shows that Black workers are paid $1.15 less per hour, on average, than white workers and women are paid $2.22 less per hour than their male counterparts. This translates to Black workers being paid, on average, 93.2% of average white workers’ wages and women being paid, on average, 87.6% of their male counterpart’s wages.

Figure D

Gender and racial wage gaps are wide among young high school graduates: Average real wages for workers ages 18–21 with a high school degree and who are not enrolled, by gender and race/ethnicity, March 2024

Demographic Wage
High school  $16.95
Women $15.62
Men $17.84
White $17.13
Black $15.98
Hispanic $17.15
AAPI $16.98
ChartData Download data

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Notes: Data represent an average of the 36 months ending in March 2024. AAPI refers to Asian American and Pacific Islander. Race and ethnicity categories are mutually exclusive (i.e., white non-Hispanic, Black non-Hispanic, AAPI non-Hispanic, and Hispanic any race).

Source: EPI analysis of the Current Population Survey Outgoing Rotation Group microdata, EPI Current Population Survey Extracts, Version 1.0.51 (2024), https://microdata.epi.org

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These findings underscore the immense role that large fiscal relief and recovery packages, including expanded unemployment insurance coverage and aid to state and local governments, had in healing the labor market after the pandemic recession. For the first time in a recession over the past 35 years, young workers were not left behind by policy. However, policymakers must prioritize sustained full employment, increase the federal minimum wage, strengthen and enforce labor standards, and make it easier for workers to come together and form unions to ensure that these gains are fully realized and that racial and gender wage gaps are addressed.

Note

1. Notes about our data sample: Because we are examining such a small subset of the population, we pool 12 or 36 months of data to increase the sample size and mitigate some of the volatility in the series. Unless otherwise specified, when looking at “overall” trends in the data, we pool 12 months of data to create a pooled moving average, which also has the added advantage of removing any seasonal effects. We use 36-month pooled data to look at trends by gender and race/ethnicity, since breaking the population down by demographics reduces sample size and data reliability.