Class of 2026: Young college graduates face a weaker labor market—but a more mixed picture than the headlines suggest

Key takeaways:

  • The unemployment rates for young college graduates and young noncollege workers have risen slightly faster than the overall unemployment rate.
  • But the rise in young college graduate unemployment in particular was mostly due to higher labor force participation: The employment-to-population ratio for young college graduates has held steady since 2024.
  • Certain demographic groups, such as Black and Hispanic workers, face higher unemployment and lower hourly wages, even for young people with limited work experience.
  • In the long run, the college degree is losing its edge: Unemployment for young college graduates has risen in historical terms, and the college wage premium has been flat or falling in recent years.

Over the last couple of years, the overall labor market has slowly weakened—with many arguing that the weakening is most pronounced for young college graduates (whom we define as young workers ages 22–27 with only a college degree).1 The evidence is actually pretty mixed—by some measures the young college graduate labor market is notably weaker, but their outcomes are largely no worse than those of noncollege young people or the labor market writ large.

In this first blog post of our series on young college graduates, we examine the labor market the college graduates of the Class of 2026 are entering. We look at unemployment rates and employment-to-population (EPOP) ratios for young workers with and without a college degree and examine wages for young college graduates by demographic characteristics. We also explore longer-term trends in unemployment driven by rising educational attainment, as well as changes in the college wage premium—the pay advantage college graduates earn over their high school graduate peers. In the next post, we will analyze trends in the industries and occupations young college graduates tend to work in, and take a closer look at the tech sector and any fingerprints of AI on labor market outcomes.

Unemployment on the rise for young college graduates—but mostly because of higher labor force participation

Over the last couple of years, the labor market has shown some signs of weakening, though some often reported measures are overstating it. For example, payroll employment growth has slowed significantly, but this is largely driven by much slower population growth over the past year and a half as net immigration has collapsed. The unemployment rate has slowly increased, though the share of the prime-age population—those 25 to 54 years old—with a job has remained high. Of most concern is the hires rate—the number of hires as a share of total employment—which has been steadily falling over the last three years. The hires rate is now at the same levels seen in 2013 and 2014, a period during the prolonged recovery from the Great Recession that saw unemployment rates 3.0 percentage points higher than they are today. Focusing just on unemployment rates, the softening of the overall labor market appears to be hitting young college graduates more acutely.

Figure A shows the overall unemployment rate, as well as the unemployment rate for young college graduates and young workers without a four-year college degree. Since 2023, the overall unemployment rate has risen from 3.6% to 4.3%, a slow and measured increase of 0.7 percentage points. The unemployment rate for young college graduates has increased from a low of 4.0% in July 2023 to its recent high of 5.3% in March 2026, a faster increase of 1.3 percentage points. Young workers without a college degree also experienced a rise in unemployment, though their rise began a little later than the other groups. Their unemployment rate has risen by 1.2 percentage points since March 2024, up from 5.9% to 7.1% by March 2026.

Figure A

Unemployment rates on the rise: Unemployment rates, overall, young college graduates (ages 22–27), and young noncollege workers

Young non-college Young college Overall
Dec-1979 8.1% 4.0% 5.9%
Jan-1980 8.3% 4.0% 5.9%
Feb-1980 8.4% 4.0% 5.9%
Mar-1980 8.4% 4.0% 6.0%
Apr-1980 8.7% 4.1% 6.1%
May-1980 9.0% 4.2% 6.3%
Jun-1980 9.3% 4.3% 6.4%
Jul-1980 9.7% 4.4% 6.6%
Aug-1980 9.9% 4.5% 6.8%
Sep-1980 10.3% 4.5% 6.9%
Oct-1980 10.6% 4.6% 7.0%
Nov-1980 10.8% 4.6% 7.2%
Dec-1980 11.0% 4.6% 7.3%
Jan-1981 11.2% 4.8% 7.4%
Feb-1981 11.4% 4.9% 7.5%
Mar-1981 11.5% 4.9% 7.6%
Apr-1981 11.5% 4.9% 7.6%
May-1981 11.4% 4.9% 7.6%
Jun-1981 11.4% 4.9% 7.6%
Jul-1981 11.2% 4.9% 7.5%
Aug-1981 11.2% 4.9% 7.5%
Sep-1981 11.1% 4.9% 7.5%
Oct-1981 11.1% 4.9% 7.5%
Nov-1981 11.2% 4.9% 7.6%
Dec-1981 11.4% 5.0% 7.7%
Jan-1982 11.5% 4.9% 7.8%
Feb-1982 11.7% 5.0% 7.9%
Mar-1982 11.9% 5.1% 8.1%
Apr-1982 12.2% 5.1% 8.2%
May-1982 12.4% 5.2% 8.4%
Jun-1982 12.6% 5.3% 8.6%
Jul-1982 12.9% 5.4% 8.8%
Aug-1982 13.2% 5.6% 8.9%
Sep-1982 13.4% 5.8% 9.1%
Oct-1982 13.7% 6.0% 9.3%
Nov-1982 13.9% 6.2% 9.5%
Dec-1982 14.2% 6.3% 9.7%
Jan-1983 14.4% 6.5% 9.9%
Feb-1983 14.7% 6.5% 10.0%
Mar-1983 14.9% 6.6% 10.1%
Apr-1983 15.0% 6.6% 10.2%
May-1983 15.1% 6.6% 10.3%
Jun-1983 15.2% 6.6% 10.3%
Jul-1983 15.1% 6.5% 10.3%
Aug-1983 15.0% 6.5% 10.3%
Sep-1983 14.9% 6.3% 10.2%
Oct-1983 14.7% 6.1% 10.0%
Nov-1983 14.4% 5.9% 9.8%
Dec-1983 14.0% 5.8% 9.6%
Jan-1984 13.6% 5.7% 9.4%
Feb-1984 13.2% 5.6% 9.2%
Mar-1984 12.8% 5.4% 9.0%
Apr-1984 12.5% 5.2% 8.7%
May-1984 12.2% 5.2% 8.5%
Jun-1984 11.9% 5.1% 8.3%
Jul-1984 11.7% 5.1% 8.2%
Aug-1984 11.5% 5.0% 8.0%
Sep-1984 11.2% 4.9% 7.9%
Oct-1984 11.0% 4.8% 7.8%
Nov-1984 10.9% 4.7% 7.7%
Dec-1984 10.7% 4.6% 7.6%
Jan-1985 10.6% 4.5% 7.5%
Feb-1985 10.6% 4.5% 7.4%
Mar-1985 10.4% 4.4% 7.4%
Apr-1985 10.3% 4.4% 7.3%
May-1985 10.2% 4.3% 7.3%
Jun-1985 10.2% 4.3% 7.3%
Jul-1985 10.2% 4.1% 7.3%
Aug-1985 10.1% 4.1% 7.3%
Sep-1985 10.1% 4.1% 7.3%
Oct-1985 10.1% 4.1% 7.2%
Nov-1985 10.1% 4.1% 7.2%
Dec-1985 10.0% 4.1% 7.2%
Jan-1986 9.9% 4.1% 7.1%
Feb-1986 9.9% 4.1% 7.1%
Mar-1986 9.9% 4.0% 7.1%
Apr-1986 9.9% 4.1% 7.1%
May-1986 9.9% 4.1% 7.1%
Jun-1986 9.9% 4.2% 7.1%
Jul-1986 9.9% 4.2% 7.1%
Aug-1986 9.8% 4.2% 7.0%
Sep-1986 9.8% 4.2% 7.0%
Oct-1986 9.8% 4.2% 7.0%
Nov-1986 9.8% 4.2% 7.0%
Dec-1986 9.8% 4.2% 7.0%
Jan-1987 9.9% 4.2% 7.0%
Feb-1987 9.8% 4.2% 6.9%
Mar-1987 9.7% 4.3% 6.9%
Apr-1987 9.6% 4.3% 6.8%
May-1987 9.6% 4.3% 6.8%
Jun-1987 9.4% 4.3% 6.7%
Jul-1987 9.3% 4.2% 6.6%
Aug-1987 9.2% 4.3% 6.5%
Sep-1987 9.0% 4.2% 6.4%
Oct-1987 8.9% 4.1% 6.4%
Nov-1987 8.7% 4.0% 6.3%
Dec-1987 8.6% 3.9% 6.2%
Jan-1988 8.5% 3.9% 6.1%
Feb-1988 8.3% 3.9% 6.0%
Mar-1988 8.2% 3.8% 6.0%
Apr-1988 8.2% 3.8% 5.9%
May-1988 8.1% 3.7% 5.8%
Jun-1988 8.0% 3.5% 5.8%
Jul-1988 8.0% 3.5% 5.7%
Aug-1988 7.9% 3.5% 5.7%
Sep-1988 7.9% 3.4% 5.6%
Oct-1988 7.9% 3.5% 5.6%
Nov-1988 7.9% 3.5% 5.5%
Dec-1988 7.9% 3.5% 5.5%
Jan-1989 7.9% 3.5% 5.5%
Feb-1989 7.9% 3.5% 5.4%
Mar-1989 7.8% 3.4% 5.4%
Apr-1989 7.8% 3.5% 5.4%
May-1989 7.7% 3.5% 5.3%
Jun-1989 7.7% 3.6% 5.3%
Jul-1989 7.8% 3.5% 5.3%
Aug-1989 7.7% 3.4% 5.3%
Sep-1989 7.7% 3.5% 5.3%
Oct-1989 7.7% 3.6% 5.3%
Nov-1989 7.6% 3.6% 5.3%
Dec-1989 7.6% 3.6% 5.3%
Jan-1990 7.6% 3.6% 5.3%
Feb-1990 7.6% 3.6% 5.3%
Mar-1990 7.6% 3.6% 5.3%
Apr-1990 7.6% 3.6% 5.3%
May-1990 7.6% 3.6% 5.3%
Jun-1990 7.6% 3.5% 5.3%
Jul-1990 7.6% 3.6% 5.4%
Aug-1990 7.6% 3.7% 5.4%
Sep-1990 7.7% 3.7% 5.4%
Oct-1990 7.7% 3.8% 5.5%
Nov-1990 7.8% 3.8% 5.5%
Dec-1990 7.9% 3.9% 5.6%
Jan-1991 8.0% 4.0% 5.7%
Feb-1991 8.1% 4.2% 5.8%
Mar-1991 8.3% 4.4% 6.0%
Apr-1991 8.5% 4.4% 6.1%
May-1991 8.7% 4.5% 6.2%
Jun-1991 8.9% 4.6% 6.3%
Jul-1991 9.0% 4.7% 6.4%
Aug-1991 9.2% 4.8% 6.5%
Sep-1991 9.3% 4.9% 6.6%
Oct-1991 9.5% 4.9% 6.7%
Nov-1991 9.7% 5.0% 6.8%
Dec-1991 9.8% 5.0% 6.9%
Jan-1992 9.9% 5.0% 7.0%
Feb-1992 10.1% 4.9% 7.0%
Mar-1992 10.1% 4.9% 7.1%
Apr-1992 10.2% 4.9% 7.1%
May-1992 10.3% 4.9% 7.2%
Jun-1992 10.4% 4.9% 7.3%
Jul-1992 10.5% 4.9% 7.3%
Aug-1992 10.6% 4.9% 7.4%
Sep-1992 10.7% 4.9% 7.5%
Oct-1992 10.7% 4.9% 7.5%
Nov-1992 10.7% 4.9% 7.5%
Dec-1992 10.8% 4.9% 7.5%
Jan-1993 10.8% 4.9% 7.5%
Feb-1993 10.8% 4.9% 7.5%
Mar-1993 10.7% 4.9% 7.5%
Apr-1993 10.6% 5.0% 7.4%
May-1993 10.5% 4.9% 7.4%
Jun-1993 10.4% 4.8% 7.3%
Jul-1993 10.4% 4.8% 7.3%
Aug-1993 10.3% 4.7% 7.2%
Sep-1993 10.2% 4.7% 7.1%
Oct-1993 10.1% 4.6% 7.1%
Nov-1993 10.0% 4.5% 7.0%
Dec-1993 9.8% 4.6% 6.9%
Jan-1994 9.7% 4.6% 6.8%
Feb-1994 9.7% 4.4% 6.8%
Mar-1994 9.6% 4.3% 6.7%
Apr-1994 9.6% 4.3% 6.7%
May-1994 9.5% 4.3% 6.6%
Jun-1994 9.4% 4.3% 6.5%
Jul-1994 9.3% 4.3% 6.5%
Aug-1994 9.2% 4.3% 6.4%
Sep-1994 9.1% 4.2% 6.3%
Oct-1994 9.1% 4.2% 6.3%
Nov-1994 9.0% 4.2% 6.2%
Dec-1994 8.8% 4.0% 6.1%
Jan-1995 8.7% 4.0% 6.0%
Feb-1995 8.4% 4.1% 5.9%
Mar-1995 8.3% 4.0% 5.8%
Apr-1995 8.2% 4.1% 5.8%
May-1995 8.1% 4.1% 5.8%
Jun-1995 8.1% 4.1% 5.7%
Jul-1995 8.0% 4.0% 5.7%
Aug-1995 8.0% 3.9% 5.7%
Sep-1995 8.0% 4.0% 5.7%
Oct-1995 8.0% 4.0% 5.6%
Nov-1995 8.0% 4.0% 5.6%
Dec-1995 8.1% 4.0% 5.7%
Jan-1996 8.1% 4.1% 5.7%
Feb-1996 8.3% 3.9% 5.7%
Mar-1996 8.4% 3.9% 5.7%
Apr-1996 8.4% 3.8% 5.7%
May-1996 8.5% 3.7% 5.6%
Jun-1996 8.4% 3.8% 5.6%
Jul-1996 8.4% 3.9% 5.6%
Aug-1996 8.3% 3.9% 5.5%
Sep-1996 8.2% 3.9% 5.5%
Oct-1996 8.3% 3.8% 5.5%
Nov-1996 8.3% 3.8% 5.5%
Dec-1996 8.3% 3.8% 5.5%
Jan-1997 8.3% 3.7% 5.4%
Feb-1997 8.2% 3.7% 5.4%
Mar-1997 8.1% 3.6% 5.4%
Apr-1997 8.1% 3.6% 5.3%
May-1997 8.0% 3.5% 5.3%
Jun-1997 8.0% 3.4% 5.3%
Jul-1997 7.9% 3.2% 5.2%
Aug-1997 7.9% 3.3% 5.2%
Sep-1997 7.9% 3.1% 5.1%
Oct-1997 7.8% 3.0% 5.1%
Nov-1997 7.8% 2.8% 5.0%
Dec-1997 7.7% 2.8% 5.0%
Jan-1998 7.7% 2.7% 4.9%
Feb-1998 7.6% 2.6% 4.9%
Mar-1998 7.6% 2.6% 4.8%
Apr-1998 7.4% 2.6% 4.8%
May-1998 7.3% 2.6% 4.7%
Jun-1998 7.2% 2.6% 4.7%
Jul-1998 7.2% 2.6% 4.6%
Aug-1998 7.3% 2.5% 4.6%
Sep-1998 7.3% 2.6% 4.6%
Oct-1998 7.2% 2.7% 4.6%
Nov-1998 7.0% 2.8% 4.5%
Dec-1998 6.9% 2.8% 4.5%
Jan-1999 6.8% 2.8% 4.5%
Feb-1999 6.7% 2.8% 4.5%
Mar-1999 6.6% 2.8% 4.4%
Apr-1999 6.6% 2.9% 4.4%
May-1999 6.6% 2.9% 4.4%
Jun-1999 6.5% 3.0% 4.4%
Jul-1999 6.4% 3.2% 4.3%
Aug-1999 6.4% 3.2% 4.3%
Sep-1999 6.3% 3.2% 4.3%
Oct-1999 6.3% 3.3% 4.3%
Nov-1999 6.3% 3.3% 4.2%
Dec-1999 6.3% 3.3% 4.2%
Jan-2000 6.3% 3.3% 4.2%
Feb-2000 6.3% 3.3% 4.2%
Mar-2000 6.3% 3.3% 4.2%
Apr-2000 6.3% 3.3% 4.1%
May-2000 6.3% 3.4% 4.1%
Jun-2000 6.3% 3.3% 4.1%
Jul-2000 6.3% 3.1% 4.1%
Aug-2000 6.2% 3.0% 4.1%
Sep-2000 6.1% 3.0% 4.0%
Oct-2000 6.1% 2.8% 4.0%
Nov-2000 6.1% 2.8% 4.0%
Dec-2000 6.2% 2.7% 4.0%
Jan-2001 6.2% 2.7% 4.0%
Feb-2001 6.2% 2.7% 4.0%
Mar-2001 6.2% 2.8% 4.0%
Apr-2001 6.3% 2.8% 4.1%
May-2001 6.2% 2.8% 4.1%
Jun-2001 6.3% 2.9% 4.2%
Jul-2001 6.2% 3.0% 4.2%
Aug-2001 6.4% 3.3% 4.3%
Sep-2001 6.4% 3.6% 4.3%
Oct-2001 6.6% 3.7% 4.5%
Nov-2001 6.8% 3.8% 4.6%
Dec-2001 7.0% 4.0% 4.7%
Jan-2002 7.2% 4.1% 4.9%
Feb-2002 7.4% 4.4% 5.0%
Mar-2002 7.7% 4.4% 5.1%
Apr-2002 7.8% 4.5% 5.3%
May-2002 8.0% 4.6% 5.4%
Jun-2002 8.1% 4.6% 5.5%
Jul-2002 8.3% 4.7% 5.6%
Aug-2002 8.4% 4.6% 5.6%
Sep-2002 8.6% 4.5% 5.7%
Oct-2002 8.7% 4.5% 5.7%
Nov-2002 8.7% 4.5% 5.8%
Dec-2002 8.8% 4.5% 5.8%
Jan-2003 8.8% 4.5% 5.8%
Feb-2003 8.8% 4.5% 5.8%
Mar-2003 8.7% 4.4% 5.8%
Apr-2003 8.8% 4.4% 5.8%
May-2003 8.8% 4.4% 5.9%
Jun-2003 8.9% 4.4% 5.9%
Jul-2003 9.0% 4.5% 5.9%
Aug-2003 9.0% 4.5% 6.0%
Sep-2003 9.2% 4.5% 6.0%
Oct-2003 9.2% 4.5% 6.0%
Nov-2003 9.2% 4.6% 6.0%
Dec-2003 9.2% 4.6% 6.0%
Jan-2004 9.2% 4.6% 6.0%
Feb-2004 9.3% 4.6% 5.9%
Mar-2004 9.3% 4.7% 5.9%
Apr-2004 9.2% 4.7% 5.9%
May-2004 9.2% 4.6% 5.8%
Jun-2004 9.1% 4.6% 5.8%
Jul-2004 9.0% 4.5% 5.7%
Aug-2004 9.0% 4.4% 5.7%
Sep-2004 8.8% 4.4% 5.6%
Oct-2004 8.7% 4.3% 5.6%
Nov-2004 8.6% 4.3% 5.6%
Dec-2004 8.5% 4.3% 5.5%
Jan-2005 8.4% 4.2% 5.5%
Feb-2005 8.4% 4.2% 5.5%
Mar-2005 8.3% 4.1% 5.4%
Apr-2005 8.3% 4.0% 5.4%
May-2005 8.3% 4.0% 5.3%
Jun-2005 8.3% 3.9% 5.3%
Jul-2005 8.2% 3.9% 5.3%
Aug-2005 8.2% 3.9% 5.2%
Sep-2005 8.2% 3.9% 5.2%
Oct-2005 8.2% 4.0% 5.2%
Nov-2005 8.1% 3.9% 5.1%
Dec-2005 8.1% 3.9% 5.1%
Jan-2006 8.0% 3.8% 5.0%
Feb-2006 7.9% 3.8% 5.0%
Mar-2006 7.7% 3.8% 4.9%
Apr-2006 7.6% 3.8% 4.9%
May-2006 7.6% 3.8% 4.9%
Jun-2006 7.6% 3.8% 4.8%
Jul-2006 7.6% 3.8% 4.8%
Aug-2006 7.4% 3.8% 4.8%
Sep-2006 7.4% 3.7% 4.7%
Oct-2006 7.3% 3.7% 4.7%
Nov-2006 7.3% 3.6% 4.7%
Dec-2006 7.2% 3.6% 4.6%
Jan-2007 7.3% 3.6% 4.6%
Feb-2007 7.3% 3.5% 4.6%
Mar-2007 7.4% 3.5% 4.6%
Apr-2007 7.3% 3.5% 4.6%
May-2007 7.3% 3.4% 4.5%
Jun-2007 7.3% 3.4% 4.5%
Jul-2007 7.2% 3.4% 4.5%
Aug-2007 7.3% 3.5% 4.5%
Sep-2007 7.4% 3.6% 4.5%
Oct-2007 7.4% 3.5% 4.6%
Nov-2007 7.4% 3.6% 4.6%
Dec-2007 7.6% 3.6% 4.6%
Jan-2008 7.6% 3.7% 4.7%
Feb-2008 7.7% 3.8% 4.7%
Mar-2008 7.9% 3.8% 4.7%
Apr-2008 8.0% 3.8% 4.8%
May-2008 8.2% 3.8% 4.9%
Jun-2008 8.3% 3.7% 4.9%
Jul-2008 8.4% 3.8% 5.0%
Aug-2008 8.6% 3.9% 5.2%
Sep-2008 8.8% 3.9% 5.3%
Oct-2008 9.0% 4.0% 5.4%
Nov-2008 9.2% 4.0% 5.6%
Dec-2008 9.4% 4.2% 5.8%
Jan-2009 9.7% 4.3% 6.0%
Feb-2009 10.1% 4.6% 6.3%
Mar-2009 10.5% 4.8% 6.7%
Apr-2009 11.0% 5.1% 7.0%
May-2009 11.5% 5.4% 7.3%
Jun-2009 12.0% 5.7% 7.6%
Jul-2009 12.5% 5.9% 7.9%
Aug-2009 12.9% 6.1% 8.2%
Sep-2009 13.3% 6.4% 8.5%
Oct-2009 13.7% 6.5% 8.8%
Nov-2009 14.1% 6.7% 9.0%
Dec-2009 14.3% 6.8% 9.3%
Jan-2010 14.6% 6.9% 9.4%
Feb-2010 14.8% 7.0% 9.6%
Mar-2010 14.9% 7.0% 9.7%
Apr-2010 15.1% 7.0% 9.7%
May-2010 15.1% 7.0% 9.7%
Jun-2010 15.2% 7.0% 9.7%
Jul-2010 15.2% 7.1% 9.7%
Aug-2010 15.1% 6.9% 9.7%
Sep-2010 15.0% 6.9% 9.7%
Oct-2010 15.0% 6.9% 9.7%
Nov-2010 15.0% 7.0% 9.7%
Dec-2010 15.0% 7.2% 9.6%
Jan-2011 15.0% 7.2% 9.6%
Feb-2011 14.9% 7.2% 9.5%
Mar-2011 14.8% 7.3% 9.4%
Apr-2011 14.7% 7.2% 9.3%
May-2011 14.5% 7.1% 9.3%
Jun-2011 14.4% 7.2% 9.3%
Jul-2011 14.4% 7.2% 9.2%
Aug-2011 14.4% 7.2% 9.2%
Sep-2011 14.4% 7.2% 9.2%
Oct-2011 14.3% 7.1% 9.1%
Nov-2011 14.2% 6.9% 9.0%
Dec-2011 14.1% 6.7% 8.9%
Jan-2012 13.9% 6.6% 8.9%
Feb-2012 13.8% 6.5% 8.8%
Mar-2012 13.7% 6.2% 8.7%
Apr-2012 13.4% 6.2% 8.7%
May-2012 13.3% 6.2% 8.6%
Jun-2012 13.3% 6.0% 8.5%
Jul-2012 13.1% 5.8% 8.4%
Aug-2012 13.1% 5.8% 8.4%
Sep-2012 12.9% 5.8% 8.3%
Oct-2012 12.8% 5.7% 8.2%
Nov-2012 12.7% 5.6% 8.1%
Dec-2012 12.6% 5.6% 8.1%
Jan-2013 12.6% 5.6% 8.0%
Feb-2013 12.6% 5.6% 8.0%
Mar-2013 12.5% 5.7% 7.9%
Apr-2013 12.5% 5.8% 7.9%
May-2013 12.4% 5.8% 7.8%
Jun-2013 12.2% 5.9% 7.8%
Jul-2013 12.2% 5.9% 7.7%
Aug-2013 12.1% 5.9% 7.6%
Sep-2013 12.0% 6.0% 7.6%
Oct-2013 11.9% 6.1% 7.5%
Nov-2013 11.9% 6.1% 7.5%
Dec-2013 11.8% 6.1% 7.4%
Jan-2014 11.6% 6.1% 7.3%
Feb-2014 11.5% 6.0% 7.2%
Mar-2014 11.5% 6.0% 7.1%
Apr-2014 11.4% 5.8% 7.0%
May-2014 11.3% 5.7% 6.9%
Jun-2014 11.2% 5.5% 6.8%
Jul-2014 11.1% 5.6% 6.7%
Aug-2014 10.9% 5.5% 6.6%
Sep-2014 10.9% 5.4% 6.5%
Oct-2014 10.8% 5.4% 6.4%
Nov-2014 10.6% 5.3% 6.3%
Dec-2014 10.5% 5.3% 6.2%
Jan-2015 10.3% 5.3% 6.1%
Feb-2015 10.1% 5.3% 6.0%
Mar-2015 10.0% 5.2% 5.9%
Apr-2015 9.9% 5.2% 5.8%
May-2015 9.8% 5.3% 5.8%
Jun-2015 9.8% 5.1% 5.7%
Jul-2015 9.7% 5.0% 5.6%
Aug-2015 9.6% 4.9% 5.5%
Sep-2015 9.4% 4.8% 5.4%
Oct-2015 9.3% 4.8% 5.4%
Nov-2015 9.3% 4.7% 5.3%
Dec-2015 9.2% 4.5% 5.3%
Jan-2016 9.1% 4.3% 5.2%
Feb-2016 9.0% 4.2% 5.2%
Mar-2016 8.8% 4.2% 5.1%
Apr-2016 8.8% 4.1% 5.1%
May-2016 8.6% 4.0% 5.0%
Jun-2016 8.5% 4.1% 5.0%
Jul-2016 8.4% 4.0% 5.0%
Aug-2016 8.3% 4.0% 4.9%
Sep-2016 8.2% 3.9% 4.9%
Oct-2016 8.2% 3.9% 4.9%
Nov-2016 8.1% 3.8% 4.9%
Dec-2016 8.0% 3.8% 4.9%
Jan-2017 8.1% 3.9% 4.9%
Feb-2017 8.0% 3.9% 4.8%
Mar-2017 7.9% 4.0% 4.8%
Apr-2017 7.8% 4.0% 4.7%
May-2017 7.7% 4.0% 4.7%
Jun-2017 7.7% 4.0% 4.7%
Jul-2017 7.5% 4.0% 4.6%
Aug-2017 7.5% 3.9% 4.6%
Sep-2017 7.5% 3.9% 4.5%
Oct-2017 7.4% 3.9% 4.4%
Nov-2017 7.4% 3.9% 4.4%
Dec-2017 7.3% 3.8% 4.4%
Jan-2018 7.2% 3.8% 4.3%
Feb-2018 7.2% 3.7% 4.3%
Mar-2018 7.1% 3.7% 4.2%
Apr-2018 7.0% 3.6% 4.2%
May-2018 7.0% 3.6% 4.1%
Jun-2018 6.9% 3.6% 4.1%
Jul-2018 6.8% 3.6% 4.1%
Aug-2018 6.8% 3.5% 4.0%
Sep-2018 6.7% 3.5% 4.0%
Oct-2018 6.5% 3.6% 4.0%
Nov-2018 6.5% 3.6% 3.9%
Dec-2018 6.4% 3.7% 3.9%
Jan-2019 6.4% 3.7% 3.9%
Feb-2019 6.4% 3.7% 3.9%
Mar-2019 6.4% 3.7% 3.8%
Apr-2019 6.3% 3.7% 3.8%
May-2019 6.2% 3.8% 3.8%
Jun-2019 6.1% 3.8% 3.8%
Jul-2019 6.2% 3.9% 3.8%
Aug-2019 6.1% 4.0% 3.7%
Sep-2019 6.1% 3.9% 3.7%
Oct-2019 6.1% 3.9% 3.7%
Nov-2019 6.1% 3.8% 3.7%
Dec-2019 6.0% 3.8% 3.7%
Jan-2020 5.9% 3.8% 3.6%
Feb-2020 5.8% 3.8% 3.6%
Mar-2020 5.9% 3.9% 3.7%
Apr-2020 7.3% 4.7% 4.5%
May-2020 8.6% 5.4% 5.3%
Jun-2020 9.5% 6.3% 5.9%
Jul-2020 10.3% 7.1% 6.5%
Aug-2020 10.9% 7.6% 6.9%
Sep-2020 11.5% 8.0% 7.2%
Oct-2020 11.8% 8.2% 7.5%
Nov-2020 12.2% 8.5% 7.8%
Dec-2020 12.6% 8.8% 8.1%
Jan-2021 12.9% 9.0% 8.3%
Feb-2021 13.3% 9.2% 8.5%
Mar-2021 13.5% 9.4% 8.7%
Apr-2021 12.3% 8.8% 8.0%
May-2021 11.3% 8.2% 7.4%
Jun-2021 10.6% 7.6% 6.9%
Jul-2021 10.0% 6.9% 6.5%
Aug-2021 9.7% 6.5% 6.2%
Sep-2021 9.3% 6.2% 6.0%
Oct-2021 9.0% 6.1% 5.8%
Nov-2021 8.7% 5.9% 5.6%
Dec-2021 8.4% 5.8% 5.3%
Jan-2022 8.2% 5.5% 5.2%
Feb-2022 8.0% 5.3% 5.0%
Mar-2022 7.7% 5.2% 4.7%
Apr-2022 7.5% 5.0% 4.5%
May-2022 7.3% 4.8% 4.4%
Jun-2022 7.0% 4.7% 4.2%
Jul-2022 6.8% 4.6% 4.0%
Aug-2022 6.6% 4.4% 3.9%
Sep-2022 6.5% 4.4% 3.8%
Oct-2022 6.5% 4.3% 3.7%
Nov-2022 6.6% 4.2% 3.7%
Dec-2022 6.6% 4.1% 3.6%
Jan-2023 6.6% 4.1% 3.6%
Feb-2023 6.5% 4.1% 3.6%
Mar-2023 6.4% 4.1% 3.6%
Apr-2023 6.3% 4.1% 3.6%
May-2023 6.2% 4.1% 3.6%
Jun-2023 6.3% 4.0% 3.6%
Jul-2023 6.3% 4.0% 3.6%
Aug-2023 6.2% 4.1% 3.6%
Sep-2023 6.2% 4.2% 3.6%
Oct-2023 6.2% 4.3% 3.6%
Nov-2023 6.0% 4.3% 3.6%
Dec-2023 6.0% 4.4% 3.6%
Jan-2024 5.9% 4.4% 3.7%
Feb-2024 5.9% 4.4% 3.7%
Mar-2024 5.9% 4.5% 3.7%
Apr-2024 6.0% 4.5% 3.7%
May-2024 6.1% 4.6% 3.8%
Jun-2024 6.2% 4.7% 3.8%
Jul-2024 6.3% 4.8% 3.9%
Aug-2024 6.4% 4.9% 3.9%
Sep-2024 6.3% 4.9% 3.9%
Oct-2024 6.4% 4.9% 4.0%
Nov-2024 6.5% 4.9% 4.0%
Dec-2024 6.6% 4.9% 4.0%
Jan-2025 6.7% 4.9% 4.0%
Feb-2025 6.8% 5.0% 4.1%
Mar-2025 6.7% 4.9% 4.1%
Apr-2025 6.8% 5.0% 4.1%
May-2025 6.8% 5.0% 4.1%
Jun-2025 6.8% 4.9% 4.2%
Jul-2025 6.7% 4.9% 4.2%
Aug-2025 6.8% 4.9% 4.2%
Sep-2025 6.9% 5.1% 4.2%
Oct-2025
Nov-2025 7.1% 5.1% 4.3%
Dec-2025 7.1% 5.2% 4.3%
Jan-2026 7.1% 5.3% 4.3%
Feb-2026 7.1% 5.2% 4.3%
Mar-2026 7.1% 5.3% 4.3%
ChartData Download data

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

Economic Policy Institute

Notes: This series is based on 12-month moving averages. The most recent data point uses pooled data from April 2025 through March 2026. Shaded areas indicate recessions.

Source: EPI analysis of the Current Population Survey basic monthly microdata, EPI Current Population Survey Extracts, Version 2026.4.13, https://microdata.epi.org

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

Some have pointed to this disproportionate rise in young college graduates’ unemployment rates as evidence that AI is beginning to substitute for the white-collar jobs young graduates typically enter. But this conclusion is premature for several reasons. First, while the rise in the unemployment rate in the most recent period is faster for college graduates than for all workers, the same is true for other young workers without a college degree (see Figure A). This suggests that there isn’t anything particularly damaging to young college graduates happening today, such as AI specifically destroying their labor market prospects.

Further, the increase in the unemployment rate for young college graduates over the last two years appears to be driven by an increase in labor force participation rather than a declining probability of having a job. The EPOP for young college grads has held steady over the last two years as the unemployment rate rose. Nearly all (98%) of the increase in the unemployment rate between 2024 and 2026 for young college graduates was driven by the increase in the labor force—meaning more young workers are entering the labor market in search of opportunities as opposed to giving up and leaving the labor force or never entering it at all. This would actually fit a historic pattern in which labor force participation rates tend to respond with a surprisingly long lag to labor market developments. The historically strong labor markets of the early 2020s likely are still pushing up the labor force participation rates of young college graduates today.

When we look at EPOPs since 2019, shown in Figure B, we see that young workers, college and noncollege alike, fall in line with the overall trend. Not surprisingly, given the industries and occupations hit the hardest, young noncollege workers fared the worst in the pandemic recession, but now are faring similarly to their college-educated counterparts. Prime-age EPOPs have remained the most resilient through this business cycle.

Figure B

Young college and noncollege employment rates reflect overall losses: Percentage point change in the employment-to-population ratio 2019-present, by demographic groups

  Young college (22-27) Young noncollege (22-27) Overall Prime Age (25-54)
Jan-2019 0.0000 0.0000 0.0000 0.0000
Feb-2019 -0.0162 -0.0382 0.0287 0.0509
Mar-2019 0.0163 -0.0872 0.0511 0.1004
Apr-2019 0.0188 -0.0261 0.0673 0.1478
May-2019 -0.1255 0.1052 0.0767 0.1814
Jun-2019 -0.2712 0.1994 0.0933 0.2136
Jul-2019 -0.3654 0.2137 0.1106 0.2119
Aug-2019 -0.4134 0.4616 0.1573 0.2662
Sep-2019 -0.3048 0.6948 0.2046 0.3345
Oct-2019 -0.2713 0.8880 0.2465 0.3883
Nov-2019 -0.0841 1.0070 0.2828 0.4491
Dec-2019 0.0723 1.1236 0.3225 0.5188
Jan-2020 0.1018 1.2773 0.3634 0.5809
Feb-2020 0.1690 1.4236 0.3988 0.6314
Mar-2020 0.0661 1.3997 0.3342 0.6048
Apr-2020 -0.9591 -0.0749 -0.4389 -0.2403
May-2020 -1.5575 -1.4752 -1.0930 -0.9418
Jun-2020 -2.3261 -2.4850 -1.5967 -1.4615
Jul-2020 -3.3467 -3.3524 -2.0638 -1.9412
Aug-2020 -4.0278 -4.1484 -2.4245 -2.3392
Sep-2020 -4.5758 -4.8807 -2.7874 -2.7646
Oct-2020 -4.8094 -5.3636 -3.0843 -3.1200
Nov-2020 -5.1870 -5.8542 -3.3841 -3.4791
Dec-2020 -5.5107 -6.2970 -3.6881 -3.8218
Jan-2021 -5.6708 -6.8930 -3.9892 -4.1677
Feb-2021 -5.9673 -7.3876 -4.2856 -4.4890
Mar-2021 -6.0985 -7.6766 -4.4586 -4.7072
Apr-2021 -5.2670 -6.4320 -3.9092 -4.0948
May-2021 -4.6420 -5.4697 -3.4720 -3.6162
Jun-2021 -4.0934 -4.8429 -3.1898 -3.3153
Jul-2021 -3.3180 -4.2551 -2.9191 -2.9801
Aug-2021 -2.8433 -3.8711 -2.7467 -2.7535
Sep-2021 -2.5691 -3.4822 -2.5668 -2.5119
Oct-2021 -2.5216 -3.2237 -2.4406 -2.3173
Nov-2021 -2.2945 -2.9335 -2.2800 -2.0787
Dec-2021 -2.1192 -2.5896 -2.1020 -1.8430
Jan-2022 -2.0847 -2.2180 -1.9152 -1.6148
Feb-2022 -1.8475 -1.9349 -1.7240 -1.3747
Mar-2022 -1.7270 -1.6416 -1.5277 -1.1096
Apr-2022 -1.5749 -1.3960 -1.3567 -0.8629
May-2022 -1.4542 -1.0627 -1.1862 -0.6165
Jun-2022 -1.3112 -0.7432 -1.0301 -0.3922
Jul-2022 -1.2167 -0.5083 -0.9046 -0.2173
Aug-2022 -1.0156 -0.3344 -0.7792 -0.0239
Sep-2022 -0.8541 -0.2910 -0.6703 0.1551
Oct-2022 -0.7178 -0.3570 -0.5877 0.2750
Nov-2022 -0.6789 -0.3944 -0.5449 0.3445
Dec-2022 -0.4801 -0.4287 -0.4967 0.4250
Jan-2023 -0.3723 -0.4493 -0.4516 0.5162
Feb-2023 -0.2417 -0.3060 -0.4168 0.6052
Mar-2023 -0.0212 -0.2380 -0.3875 0.6659
Apr-2023 0.0313 -0.2054 -0.3451 0.7391
May-2023 0.0511 -0.1622 -0.3256 0.7977
Jun-2023 0.1223 -0.1975 -0.2913 0.8831
Jul-2023 0.2623 -0.2881 -0.2566 0.9651
Aug-2023 0.1025 -0.1977 -0.2287 1.0157
Sep-2023 -0.0510 -0.0968 -0.2032 1.0697
Oct-2023 -0.1777 -0.0424 -0.1826 1.1337
Nov-2023 -0.3502 0.1400 -0.1349 1.2123
Dec-2023 -0.4697 0.2135 -0.1351 1.2383
Jan-2024 -0.4250 0.3586 -0.1346 1.2625
Feb-2024 -0.5698 0.3484 -0.1457 1.2796
Mar-2024 -0.9369 0.3904 -0.1568 1.2790
Apr-2024 -1.0154 0.3646 -0.1713 1.2842
May-2024 -1.2074 0.2414 -0.1913 1.2925
Jun-2024 -1.2564 0.1270 -0.2155 1.2842
Jul-2024 -1.4528 0.0149 -0.2446 1.2859
Aug-2024 -1.4356 -0.0981 -0.2778 1.2914
Sep-2024 -1.2688 -0.1956 -0.2971 1.2980
Oct-2024 -1.1679 -0.2429 -0.3197 1.2901
Nov-2024 -1.0262 -0.4243 -0.3719 1.2636
Dec-2024 -0.9460 -0.4751 -0.3857 1.2666
Jan-2025 -0.9016 -0.5767 -0.3971 1.2765
Feb-2025 -1.0068 -0.7614 -0.4230 1.2617
Mar-2025 -0.8811 -0.8227 -0.4547 1.2421
Apr-2025 -0.8031 -0.9828 -0.4735 1.2326
May-2025 -0.7399 -0.9927 -0.5049 1.2017
Jun-2025 -0.8093 -0.9743 -0.5351 1.2027
Jul-2025 -0.8772 -0.8766 -0.5759 1.1616
Aug-2025 -0.9945 -0.8851 -0.6108 1.1478
Sep-2025 -1.1565 -0.8620 -0.6488 1.1289
Oct-2025        
Nov-2025 -1.1529 -1.0169 -0.6943 1.1107
Dec-2025 -1.0829 -1.1796 -0.7165 1.1257
Jan-2026 -1.0852 -1.3392 -0.7782 1.1423
Feb-2026 -0.9244 -1.3793 -0.8289 1.1521
Mar-2026 -0.9503 -1.3933 -0.8867 1.1769
ChartData Download data

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

Economic Policy Institute

Notes: This series is based on 12-month moving averages, Shaded areas indicated recessions.

Source: EPI analysis of the Current Population Survey basic monthly microdata, EPI Current Population Survey Extracts, Version 2026.4.13, https://microdata.epi.org

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

Data from the Job Openings and Labor Turnover Survey provide useful insights into job openings, hires, quits, layoffs, and other separations, but they are not broken down by demographic, limiting our ability to analyze young workers. However, the depressed hires rate suggests that it is more difficult for new entrants to get a foothold in the labor market. The quits rate is down, signaling a reduction in the overall churn in the labor market as workers and employers sit tight through this period of economic uncertainty—likely related to chaotic policy decisions and implementation around tariffs, deportations, and the conflict with Iran. If the layoffs rate ticks up now, the unemployment rate is likely to spike quickly and could spell even more trouble for young people who tend to experience larger swings in unemployment with the business cycle.

Finally, there is no evidence that young college graduates are sheltering in school—i.e., going on to graduate school—to weather out the weakened labor market. In fact, enrollment rates among young college graduates have been falling slightly over the last couple of years, from 19.1% in 2024 and 18.8% in 2025 to 18.5% in 2026. Even though opportunities in the labor market are weaker, it’s perhaps not surprising that enrollment rates are on the decline. The Trump administration’s attacks on higher education have reduced available funding at colleges and the ending of student loan forgiveness and caps on borrowing make it increasingly difficult for students to make those educational investments.

Wages remain unequal across demographic groups

Real (inflation-adjusted) median wages of young college graduates rose slightly over the last year, up just 0.4% since 2025, consistent with the slowdown in wage growth for workers overall. Since 2019, young college graduate wages have grown 7.4% after adjusting for inflation.

Despite this positive wage growth, racial and gender wage gaps remain large even among young college graduates who are just starting their careers. Figure C shows that women are paid $4.18 less per hour than their male counterparts. At 85.9% of men’s pay, a young woman working full time with a college degree is paid $8,700 less over the year.

Young Asian American Pacific Islander (AAPI) college graduates are paid more than white, Hispanic, or Black workers. The demographic categories shown in Figure C are mutually exclusive: AAPI, white, and Black workers are non-Hispanic, while Hispanic workers can be of any race. Young white college graduates are paid $2.76 per hour less than their AAPI counterparts, while Black and Hispanic workers are paid $5.36 and $5.05 less, respectively. For a full-time worker, this translates into more than $10,000 in lower earnings over the year for Black and Hispanic workers. Not only are wages lower for these historically disadvantaged groups, but the unemployment rates of young Black college grads in particular are also higher. Therefore, their ability to secure employment at all—at any wage—is diminished.

Figure C

Gender and racial wage gaps are wide among young college graduates: Average real wages for workers ages 22–27 with a college degree, by gender and race/ethnicity, March 2026

Demographic Wage
Overall $26.87
Women $25.47
Men $29.65
White $27.49
Black $24.88
Hispanic $25.19
AAPI $30.25
ChartData Download data

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

Economic Policy Institute

Notes: Data represent an average of the 36 months ending in March 2026. 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 basic monthly microdata, EPI Current Population Survey Extracts, Version 2026.4.13, https://microdata.epi.org

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

Young college grads are competing against a wider labor force that is more educated 

As educational attainment has risen across the broader workforce, the advantage that young college graduates once enjoyed relative to the rest of the labor force in terms of lower unemployment and higher wages has steadily declined.

The young college graduate unemployment rate recently surpassed the overall unemployment rate, meaning a greater share of young college graduates are now out of work than workers writ large. The erosion of the unemployment advantage for young college grads, however, isn’t a sudden shift; as shown in Figure A, the trend has been building since 1979, when young college graduates had an unemployment rate of 4.0%, 1.9 percentage points below the national average. Over the following four decades, that advantage eroded. By February 2020, young college graduates had an unemployment rate of 3.8%, 0.2 percentage points above the overall rate, a slow but complete reversal of the historic edge. In recent years, the historic trend has continued—now the young college graduate unemployment rate is a full 1.0 percentage point above the overall. And the young college graduate unemployment rate is at historically high absolute levels today, currently sitting higher than it was during the worst of the 1990 and 2001 recessions.

The shift is not explained by young college graduates faring worse relative to their noncollege peers, as that gap has held relatively stable at around 2.0 percentage points. Instead, as the educational attainment of the overall workforce increased, young college graduates became less advantaged compared to the overall labor force. Further, as a greater share of young adults now attend college and are likely from a wider range of socioeconomic backgrounds, a college degree for somebody in their early 20s today is likely a less reliable marker of general economic privilege than it used to be.

Figure D displays educational attainment over time for young workers and all workers. From 1980 to 2026, the share of the workforce with a bachelor’s degree increased from 12.5% to 26.1%, more than doubling as a share of total employment. The overall level of college attainment for young adults rose from 18.0% in 1979 to 31.6% in 2026. If we include those with bachelor’s and/or an advanced degree in the overall workforce, the increase in educational attainment is even more stark, rising from 18.4% to 41.9%.

Figure D

Educational attainment of the workforce has increased significantly over the past decades: Educational attainment as a share of employment, by selected groups

date Age 22–27 BA only All BA only All BA or higher
Jan-1980 18.0% 12.5% 18.4%
Feb-1980 17.9% 12.5% 18.4%
Mar-1980 17.8% 12.5% 18.5%
Apr-1980 17.8% 12.6% 18.5%
May-1980 17.8% 12.6% 18.6%
Jun-1980 17.7% 12.7% 18.7%
Jul-1980 17.7% 12.7% 18.8%
Aug-1980 17.8% 12.8% 18.8%
Sep-1980 17.8% 12.9% 18.9%
Oct-1980 17.8% 12.9% 19.0%
Nov-1980 17.8% 12.9% 19.1%
Dec-1980 17.8% 13.0% 19.1%
Jan-1981 17.7% 13.0% 19.1%
Feb-1981 17.6% 13.0% 19.2%
Mar-1981 17.5% 13.0% 19.2%
Apr-1981 17.5% 13.0% 19.2%
May-1981 17.4% 13.0% 19.2%
Jun-1981 17.3% 13.0% 19.3%
Jul-1981 17.2% 13.0% 19.3%
Aug-1981 17.2% 13.1% 19.3%
Sep-1981 17.2% 13.1% 19.4%
Oct-1981 17.2% 13.1% 19.5%
Nov-1981 17.2% 13.2% 19.5%
Dec-1981 17.2% 13.2% 19.6%
Jan-1982 17.2% 13.3% 19.7%
Feb-1982 17.3% 13.3% 19.7%
Mar-1982 17.4% 13.4% 19.9%
Apr-1982 17.4% 13.5% 20.0%
May-1982 17.6% 13.5% 20.1%
Jun-1982 17.7% 13.6% 20.2%
Jul-1982 17.7% 13.7% 20.3%
Aug-1982 17.7% 13.7% 20.3%
Sep-1982 17.7% 13.8% 20.4%
Oct-1982 17.7% 13.8% 20.5%
Nov-1982 17.7% 13.9% 20.6%
Dec-1982 17.6% 14.0% 20.7%
Jan-1983 17.7% 14.0% 20.8%
Feb-1983 17.7% 14.1% 20.9%
Mar-1983 17.8% 14.2% 21.0%
Apr-1983 17.9% 14.2% 21.1%
May-1983 17.9% 14.3% 21.2%
Jun-1983 17.9% 14.3% 21.3%
Jul-1983 18.0% 14.3% 21.3%
Aug-1983 18.1% 14.4% 21.4%
Sep-1983 18.1% 14.4% 21.4%
Oct-1983 18.2% 14.4% 21.5%
Nov-1983 18.3% 14.4% 21.5%
Dec-1983 18.3% 14.4% 21.5%
Jan-1984 18.3% 14.4% 21.4%
Feb-1984 18.3% 14.4% 21.5%
Mar-1984 18.3% 14.5% 21.5%
Apr-1984 18.3% 14.5% 21.5%
May-1984 18.3% 14.5% 21.5%
Jun-1984 18.3% 14.5% 21.5%
Jul-1984 18.3% 14.5% 21.5%
Aug-1984 18.3% 14.5% 21.6%
Sep-1984 18.3% 14.5% 21.6%
Oct-1984 18.2% 14.5% 21.6%
Nov-1984 18.1% 14.5% 21.6%
Dec-1984 18.1% 14.5% 21.6%
Jan-1985 18.1% 14.5% 21.6%
Feb-1985 18.1% 14.5% 21.6%
Mar-1985 18.2% 14.6% 21.6%
Apr-1985 18.3% 14.6% 21.7%
May-1985 18.3% 14.6% 21.7%
Jun-1985 18.4% 14.7% 21.8%
Jul-1985 18.4% 14.7% 21.8%
Aug-1985 18.4% 14.7% 21.8%
Sep-1985 18.5% 14.8% 21.9%
Oct-1985 18.5% 14.8% 21.9%
Nov-1985 18.6% 14.9% 22.0%
Dec-1985 18.6% 14.9% 22.0%
Jan-1986 18.6% 15.0% 22.0%
Feb-1986 18.6% 15.0% 22.1%
Mar-1986 18.7% 15.0% 22.1%
Apr-1986 18.7% 15.0% 22.1%
May-1986 18.7% 15.0% 22.1%
Jun-1986 18.7% 15.0% 22.1%
Jul-1986 18.6% 15.0% 22.1%
Aug-1986 18.5% 15.0% 22.2%
Sep-1986 18.4% 15.0% 22.2%
Oct-1986 18.4% 15.0% 22.2%
Nov-1986 18.4% 15.1% 22.2%
Dec-1986 18.4% 15.1% 22.2%
Jan-1987 18.4% 15.1% 22.3%
Feb-1987 18.4% 15.1% 22.3%
Mar-1987 18.3% 15.1% 22.3%
Apr-1987 18.3% 15.1% 22.4%
May-1987 18.3% 15.1% 22.4%
Jun-1987 18.4% 15.1% 22.4%
Jul-1987 18.4% 15.1% 22.4%
Aug-1987 18.5% 15.2% 22.5%
Sep-1987 18.6% 15.2% 22.5%
Oct-1987 18.7% 15.2% 22.6%
Nov-1987 18.7% 15.2% 22.6%
Dec-1987 18.8% 15.3% 22.6%
Jan-1988 18.8% 15.3% 22.7%
Feb-1988 18.9% 15.3% 22.7%
Mar-1988 18.9% 15.3% 22.7%
Apr-1988 18.9% 15.4% 22.8%
May-1988 18.9% 15.4% 22.8%
Jun-1988 18.8% 15.4% 22.9%
Jul-1988 18.8% 15.4% 22.9%
Aug-1988 18.8% 15.4% 23.0%
Sep-1988 18.9% 15.4% 23.0%
Oct-1988 18.9% 15.4% 23.1%
Nov-1988 18.9% 15.4% 23.1%
Dec-1988 18.9% 15.4% 23.1%
Jan-1989 18.9% 15.4% 23.2%
Feb-1989 18.9% 15.5% 23.2%
Mar-1989 18.9% 15.5% 23.3%
Apr-1989 19.0% 15.5% 23.3%
May-1989 19.0% 15.5% 23.4%
Jun-1989 19.0% 15.6% 23.4%
Jul-1989 19.0% 15.6% 23.5%
Aug-1989 19.0% 15.6% 23.5%
Sep-1989 19.0% 15.6% 23.5%
Oct-1989 19.0% 15.6% 23.5%
Nov-1989 19.0% 15.6% 23.5%
Dec-1989 19.1% 15.6% 23.6%
Jan-1990 19.1% 15.6% 23.6%
Feb-1990 19.1% 15.6% 23.6%
Mar-1990 19.1% 15.6% 23.6%
Apr-1990 19.1% 15.7% 23.7%
May-1990 19.2% 15.7% 23.7%
Jun-1990 19.1% 15.7% 23.7%
Jul-1990 19.1% 15.7% 23.7%
Aug-1990 19.1% 15.8% 23.7%
Sep-1990 19.0% 15.8% 23.7%
Oct-1990 18.9% 15.8% 23.8%
Nov-1990 18.9% 15.8% 23.8%
Dec-1990 18.8% 15.8% 23.8%
Jan-1991 18.9% 15.9% 23.9%
Feb-1991 18.9% 15.9% 23.9%
Mar-1991 18.9% 15.9% 23.9%
Apr-1991 19.0% 16.0% 24.0%
May-1991 19.1% 16.0% 24.0%
Jun-1991 19.2% 16.1% 24.1%
Jul-1991 19.3% 16.1% 24.1%
Aug-1991 19.3% 16.1% 24.2%
Sep-1991 19.4% 16.2% 24.2%
Oct-1991 19.4% 16.2% 24.2%
Nov-1991 19.5% 16.2% 24.3%
Dec-1991 19.5% 16.3% 24.3%
Jan-1992 19.6% 16.3% 24.3%
Feb-1992 19.7% 16.2% 24.3%
Mar-1992 19.7% 16.2% 24.3%
Apr-1992 19.7% 16.2% 24.3%
May-1992 19.7% 16.2% 24.3%
Jun-1992 19.7% 16.2% 24.3%
Jul-1992 19.6% 16.2% 24.3%
Aug-1992 19.7% 16.2% 24.3%
Sep-1992 19.8% 16.2% 24.3%
Oct-1992 20.0% 16.2% 24.3%
Nov-1992 20.1% 16.2% 24.3%
Dec-1992 20.1% 16.2% 24.3%
Jan-1993 20.0% 16.2% 24.4%
Feb-1993 20.0% 16.2% 24.4%
Mar-1993 20.0% 16.3% 24.5%
Apr-1993 19.9% 16.3% 24.5%
May-1993 20.0% 16.3% 24.6%
Jun-1993 20.0% 16.3% 24.6%
Jul-1993 20.1% 16.3% 24.6%
Aug-1993 20.2% 16.4% 24.6%
Sep-1993 20.2% 16.4% 24.7%
Oct-1993 20.3% 16.5% 24.7%
Nov-1993 20.3% 16.5% 24.8%
Dec-1993 20.4% 16.5% 24.8%
Jan-1994 20.5% 16.6% 24.8%
Feb-1994 20.6% 16.6% 24.8%
Mar-1994 20.6% 16.6% 24.8%
Apr-1994 20.7% 16.7% 24.9%
May-1994 20.8% 16.7% 25.0%
Jun-1994 21.0% 16.8% 25.0%
Jul-1994 21.1% 16.8% 25.1%
Aug-1994 21.2% 16.9% 25.1%
Sep-1994 21.3% 16.9% 25.1%
Oct-1994 21.4% 16.9% 25.2%
Nov-1994 21.5% 17.0% 25.2%
Dec-1994 21.6% 17.0% 25.2%
Jan-1995 21.6% 17.0% 25.2%
Feb-1995 21.6% 17.0% 25.2%
Mar-1995 21.7% 17.0% 25.3%
Apr-1995 21.6% 17.0% 25.3%
May-1995 21.5% 17.0% 25.3%
Jun-1995 21.5% 17.0% 25.3%
Jul-1995 21.4% 17.0% 25.4%
Aug-1995 21.4% 17.1% 25.4%
Sep-1995 21.4% 17.1% 25.4%
Oct-1995 21.4% 17.1% 25.5%
Nov-1995 21.4% 17.1% 25.6%
Dec-1995 21.4% 17.2% 25.6%
Jan-1996 21.5% 17.2% 25.7%
Feb-1996 21.6% 17.2% 25.7%
Mar-1996 21.8% 17.3% 25.8%
Apr-1996 22.0% 17.3% 25.8%
May-1996 22.2% 17.4% 25.9%
Jun-1996 22.2% 17.4% 25.9%
Jul-1996 22.3% 17.5% 25.9%
Aug-1996 22.3% 17.5% 26.0%
Sep-1996 22.3% 17.5% 26.0%
Oct-1996 22.3% 17.5% 26.0%
Nov-1996 22.3% 17.6% 26.1%
Dec-1996 22.3% 17.6% 26.1%
Jan-1997 22.3% 17.6% 26.1%
Feb-1997 22.3% 17.6% 26.1%
Mar-1997 22.3% 17.6% 26.1%
Apr-1997 22.2% 17.6% 26.1%
May-1997 22.1% 17.6% 26.1%
Jun-1997 22.0% 17.6% 26.1%
Jul-1997 22.0% 17.6% 26.1%
Aug-1997 22.0% 17.7% 26.1%
Sep-1997 22.0% 17.7% 26.2%
Oct-1997 21.9% 17.7% 26.2%
Nov-1997 22.0% 17.7% 26.2%
Dec-1997 22.0% 17.8% 26.3%
Jan-1998 22.0% 17.8% 26.3%
Feb-1998 21.9% 17.8% 26.3%
Mar-1998 21.9% 17.9% 26.4%
Apr-1998 21.8% 17.9% 26.4%
May-1998 21.8% 17.9% 26.4%
Jun-1998 21.8% 17.9% 26.5%
Jul-1998 21.8% 18.0% 26.6%
Aug-1998 21.8% 18.0% 26.7%
Sep-1998 21.8% 18.0% 26.7%
Oct-1998 21.8% 18.0% 26.8%
Nov-1998 21.7% 18.1% 26.8%
Dec-1998 21.6% 18.1% 26.9%
Jan-1999 21.6% 18.1% 26.9%
Feb-1999 21.6% 18.1% 26.9%
Mar-1999 21.5% 18.2% 27.0%
Apr-1999 21.5% 18.2% 27.0%
May-1999 21.6% 18.2% 27.1%
Jun-1999 21.5% 18.2% 27.2%
Jul-1999 21.5% 18.3% 27.2%
Aug-1999 21.5% 18.3% 27.3%
Sep-1999 21.6% 18.3% 27.3%
Oct-1999 21.7% 18.4% 27.3%
Nov-1999 21.7% 18.4% 27.3%
Dec-1999 21.7% 18.4% 27.4%
Jan-2000 21.8% 18.4% 27.4%
Feb-2000 21.9% 18.4% 27.5%
Mar-2000 21.9% 18.4% 27.5%
Apr-2000 21.9% 18.4% 27.5%
May-2000 21.9% 18.4% 27.5%
Jun-2000 22.0% 18.4% 27.5%
Jul-2000 22.1% 18.5% 27.5%
Aug-2000 22.2% 18.5% 27.5%
Sep-2000 22.2% 18.5% 27.5%
Oct-2000 22.2% 18.5% 27.5%
Nov-2000 22.3% 18.5% 27.6%
Dec-2000 22.3% 18.5% 27.6%
Jan-2001 22.3% 18.5% 27.6%
Feb-2001 22.4% 18.5% 27.6%
Mar-2001 22.5% 18.6% 27.7%
Apr-2001 22.6% 18.6% 27.7%
May-2001 22.7% 18.6% 27.7%
Jun-2001 22.8% 18.7% 27.8%
Jul-2001 22.7% 18.7% 27.8%
Aug-2001 22.6% 18.7% 27.8%
Sep-2001 22.5% 18.7% 27.8%
Oct-2001 22.4% 18.7% 27.9%
Nov-2001 22.3% 18.7% 27.9%
Dec-2001 22.3% 18.7% 28.0%
Jan-2002 22.2% 18.7% 28.0%
Feb-2002 22.2% 18.7% 28.1%
Mar-2002 22.2% 18.8% 28.1%
Apr-2002 22.2% 18.8% 28.2%
May-2002 22.1% 18.9% 28.3%
Jun-2002 22.2% 18.9% 28.4%
Jul-2002 22.2% 19.0% 28.5%
Aug-2002 22.2% 19.1% 28.5%
Sep-2002 22.3% 19.1% 28.6%
Oct-2002 22.3% 19.2% 28.6%
Nov-2002 22.3% 19.2% 28.6%
Dec-2002 22.3% 19.2% 28.7%
Jan-2003 22.3% 19.3% 28.7%
Feb-2003 22.3% 19.3% 28.8%
Mar-2003 22.3% 19.3% 28.8%
Apr-2003 22.3% 19.3% 28.8%
May-2003 22.3% 19.3% 28.8%
Jun-2003 22.3% 19.3% 28.9%
Jul-2003 22.3% 19.3% 28.9%
Aug-2003 22.4% 19.4% 29.0%
Sep-2003 22.5% 19.4% 29.1%
Oct-2003 22.6% 19.5% 29.2%
Nov-2003 22.7% 19.5% 29.3%
Dec-2003 22.7% 19.6% 29.4%
Jan-2004 22.7% 19.6% 29.4%
Feb-2004 22.7% 19.6% 29.5%
Mar-2004 22.7% 19.6% 29.5%
Apr-2004 22.8% 19.6% 29.6%
May-2004 22.9% 19.6% 29.6%
Jun-2004 23.0% 19.6% 29.6%
Jul-2004 23.1% 19.6% 29.6%
Aug-2004 23.0% 19.6% 29.6%
Sep-2004 23.0% 19.6% 29.6%
Oct-2004 22.9% 19.6% 29.6%
Nov-2004 22.9% 19.6% 29.6%
Dec-2004 22.9% 19.6% 29.6%
Jan-2005 22.9% 19.7% 29.7%
Feb-2005 22.8% 19.7% 29.7%
Mar-2005 22.8% 19.6% 29.6%
Apr-2005 22.7% 19.6% 29.6%
May-2005 22.7% 19.6% 29.7%
Jun-2005 22.6% 19.6% 29.7%
Jul-2005 22.5% 19.6% 29.7%
Aug-2005 22.5% 19.6% 29.7%
Sep-2005 22.4% 19.6% 29.7%
Oct-2005 22.5% 19.6% 29.7%
Nov-2005 22.6% 19.6% 29.7%
Dec-2005 22.7% 19.7% 29.7%
Jan-2006 22.7% 19.7% 29.8%
Feb-2006 22.7% 19.7% 29.8%
Mar-2006 22.7% 19.7% 29.8%
Apr-2006 22.6% 19.7% 29.8%
May-2006 22.6% 19.7% 29.9%
Jun-2006 22.5% 19.7% 29.9%
Jul-2006 22.6% 19.8% 29.9%
Aug-2006 22.7% 19.8% 30.0%
Sep-2006 22.8% 19.9% 30.0%
Oct-2006 23.0% 19.9% 30.1%
Nov-2006 23.1% 19.9% 30.2%
Dec-2006 23.2% 20.0% 30.2%
Jan-2007 23.3% 20.0% 30.3%
Feb-2007 23.4% 20.1% 30.4%
Mar-2007 23.6% 20.1% 30.4%
Apr-2007 23.8% 20.2% 30.5%
May-2007 23.9% 20.2% 30.6%
Jun-2007 24.0% 20.3% 30.7%
Jul-2007 24.2% 20.4% 30.8%
Aug-2007 24.3% 20.5% 30.9%
Sep-2007 24.4% 20.5% 30.9%
Oct-2007 24.4% 20.6% 31.0%
Nov-2007 24.3% 20.6% 31.0%
Dec-2007 24.3% 20.6% 31.0%
Jan-2008 24.4% 20.6% 31.1%
Feb-2008 24.5% 20.7% 31.2%
Mar-2008 24.6% 20.7% 31.3%
Apr-2008 24.7% 20.7% 31.4%
May-2008 24.7% 20.8% 31.4%
Jun-2008 24.7% 20.8% 31.4%
Jul-2008 24.7% 20.8% 31.5%
Aug-2008 24.8% 20.8% 31.5%
Sep-2008 24.8% 20.9% 31.6%
Oct-2008 24.9% 20.9% 31.6%
Nov-2008 25.0% 21.0% 31.7%
Dec-2008 25.1% 21.0% 31.8%
Jan-2009 25.2% 21.0% 31.8%
Feb-2009 25.4% 21.0% 31.8%
Mar-2009 25.4% 21.0% 31.9%
Apr-2009 25.5% 21.1% 31.9%
May-2009 25.6% 21.1% 32.0%
Jun-2009 25.7% 21.1% 32.1%
Jul-2009 25.8% 21.2% 32.2%
Aug-2009 25.8% 21.2% 32.3%
Sep-2009 25.9% 21.3% 32.3%
Oct-2009 26.0% 21.3% 32.5%
Nov-2009 26.1% 21.4% 32.6%
Dec-2009 26.2% 21.4% 32.7%
Jan-2010 26.4% 21.5% 32.8%
Feb-2010 26.5% 21.6% 32.8%
Mar-2010 26.6% 21.6% 32.9%
Apr-2010 26.7% 21.6% 32.9%
May-2010 26.8% 21.6% 33.0%
Jun-2010 26.8% 21.7% 33.0%
Jul-2010 26.9% 21.7% 33.1%
Aug-2010 27.0% 21.7% 33.1%
Sep-2010 27.0% 21.7% 33.1%
Oct-2010 27.0% 21.7% 33.1%
Nov-2010 27.0% 21.6% 33.1%
Dec-2010 26.9% 21.6% 33.1%
Jan-2011 26.8% 21.6% 33.1%
Feb-2011 26.8% 21.6% 33.2%
Mar-2011 26.7% 21.6% 33.3%
Apr-2011 26.8% 21.7% 33.3%
May-2011 26.8% 21.7% 33.4%
Jun-2011 26.7% 21.7% 33.4%
Jul-2011 26.6% 21.7% 33.4%
Aug-2011 26.4% 21.7% 33.5%
Sep-2011 26.3% 21.7% 33.5%
Oct-2011 26.1% 21.7% 33.5%
Nov-2011 26.1% 21.7% 33.5%
Dec-2011 26.2% 21.7% 33.6%
Jan-2012 26.3% 21.7% 33.6%
Feb-2012 26.4% 21.8% 33.6%
Mar-2012 26.6% 21.8% 33.7%
Apr-2012 26.6% 21.8% 33.7%
May-2012 26.6% 21.8% 33.8%
Jun-2012 26.7% 21.9% 33.8%
Jul-2012 26.8% 21.9% 33.8%
Aug-2012 27.0% 22.0% 33.9%
Sep-2012 27.1% 22.0% 33.9%
Oct-2012 27.1% 22.1% 34.0%
Nov-2012 27.2% 22.1% 34.1%
Dec-2012 27.1% 22.1% 34.1%
Jan-2013 26.9% 22.2% 34.2%
Feb-2013 26.9% 22.2% 34.2%
Mar-2013 26.7% 22.2% 34.3%
Apr-2013 26.7% 22.3% 34.4%
May-2013 26.7% 22.3% 34.4%
Jun-2013 26.6% 22.3% 34.5%
Jul-2013 26.6% 22.4% 34.5%
Aug-2013 26.5% 22.4% 34.5%
Sep-2013 26.5% 22.4% 34.6%
Oct-2013 26.4% 22.5% 34.6%
Nov-2013 26.4% 22.5% 34.6%
Dec-2013 26.5% 22.5% 34.7%
Jan-2014 26.5% 22.5% 34.8%
Feb-2014 26.5% 22.5% 34.8%
Mar-2014 26.6% 22.5% 34.8%
Apr-2014 26.7% 22.5% 34.8%
May-2014 26.7% 22.6% 34.9%
Jun-2014 26.7% 22.6% 34.9%
Jul-2014 26.8% 22.6% 34.9%
Aug-2014 26.8% 22.6% 34.9%
Sep-2014 26.9% 22.6% 35.0%
Oct-2014 26.9% 22.6% 35.0%
Nov-2014 26.9% 22.6% 35.0%
Dec-2014 27.0% 22.6% 35.1%
Jan-2015 27.1% 22.6% 35.1%
Feb-2015 27.1% 22.7% 35.2%
Mar-2015 27.1% 22.7% 35.2%
Apr-2015 27.0% 22.7% 35.2%
May-2015 27.0% 22.7% 35.3%
Jun-2015 27.1% 22.7% 35.3%
Jul-2015 27.1% 22.7% 35.4%
Aug-2015 27.2% 22.8% 35.5%
Sep-2015 27.3% 22.9% 35.6%
Oct-2015 27.5% 22.9% 35.7%
Nov-2015 27.6% 23.0% 35.8%
Dec-2015 27.7% 23.0% 35.9%
Jan-2016 27.8% 23.0% 35.9%
Feb-2016 27.8% 23.0% 35.9%
Mar-2016 27.8% 23.0% 36.0%
Apr-2016 27.8% 23.0% 36.1%
May-2016 27.9% 23.0% 36.1%
Jun-2016 27.9% 23.0% 36.2%
Jul-2016 27.9% 23.0% 36.2%
Aug-2016 28.0% 23.0% 36.2%
Sep-2016 28.0% 23.0% 36.3%
Oct-2016 27.9% 23.0% 36.3%
Nov-2016 27.9% 23.1% 36.3%
Dec-2016 27.8% 23.1% 36.3%
Jan-2017 27.8% 23.1% 36.4%
Feb-2017 27.8% 23.1% 36.5%
Mar-2017 27.7% 23.2% 36.5%
Apr-2017 27.7% 23.2% 36.5%
May-2017 27.7% 23.2% 36.6%
Jun-2017 27.7% 23.3% 36.6%
Jul-2017 27.7% 23.4% 36.7%
Aug-2017 27.8% 23.4% 36.8%
Sep-2017 27.9% 23.5% 36.8%
Oct-2017 28.1% 23.5% 36.9%
Nov-2017 28.1% 23.6% 36.9%
Dec-2017 28.3% 23.6% 37.0%
Jan-2018 28.4% 23.7% 37.1%
Feb-2018 28.5% 23.7% 37.1%
Mar-2018 28.6% 23.8% 37.2%
Apr-2018 28.6% 23.9% 37.3%
May-2018 28.6% 23.9% 37.3%
Jun-2018 28.6% 23.9% 37.4%
Jul-2018 28.7% 24.0% 37.4%
Aug-2018 28.9% 24.0% 37.5%
Sep-2018 28.9% 24.1% 37.5%
Oct-2018 28.9% 24.1% 37.6%
Nov-2018 28.8% 24.1% 37.7%
Dec-2018 28.8% 24.1% 37.7%
Jan-2019 28.9% 24.2% 37.8%
Feb-2019 28.9% 24.2% 37.9%
Mar-2019 29.1% 24.3% 38.0%
Apr-2019 29.2% 24.3% 38.0%
May-2019 29.3% 24.3% 38.1%
Jun-2019 29.4% 24.4% 38.2%
Jul-2019 29.5% 24.4% 38.2%
Aug-2019 29.4% 24.4% 38.2%
Sep-2019 29.5% 24.4% 38.3%
Oct-2019 29.4% 24.4% 38.3%
Nov-2019 29.5% 24.4% 38.4%
Dec-2019 29.7% 24.5% 38.4%
Jan-2020 29.7% 24.5% 38.5%
Feb-2020 29.8% 24.5% 38.6%
Mar-2020 29.8% 24.6% 38.7%
Apr-2020 30.2% 24.8% 39.0%
May-2020 30.6% 25.0% 39.4%
Jun-2020 30.9% 25.1% 39.7%
Jul-2020 31.0% 25.2% 40.0%
Aug-2020 31.3% 25.3% 40.3%
Sep-2020 31.6% 25.5% 40.5%
Oct-2020 31.8% 25.5% 40.6%
Nov-2020 32.0% 25.6% 40.7%
Dec-2020 32.1% 25.7% 40.9%
Jan-2021 32.2% 25.7% 41.0%
Feb-2021 32.3% 25.8% 41.2%
Mar-2021 32.4% 25.9% 41.2%
Apr-2021 32.2% 25.8% 41.0%
May-2021 32.0% 25.7% 40.9%
Jun-2021 31.7% 25.6% 40.7%
Jul-2021 31.6% 25.6% 40.6%
Aug-2021 31.4% 25.5% 40.5%
Sep-2021 31.0% 25.5% 40.5%
Oct-2021 30.9% 25.5% 40.5%
Nov-2021 30.8% 25.5% 40.6%
Dec-2021 30.7% 25.5% 40.5%
Jan-2022 30.6% 25.5% 40.5%
Feb-2022 30.5% 25.4% 40.5%
Mar-2022 30.3% 25.4% 40.4%
Apr-2022 30.2% 25.4% 40.3%
May-2022 30.3% 25.4% 40.3%
Jun-2022 30.3% 25.4% 40.3%
Jul-2022 30.3% 25.4% 40.4%
Aug-2022 30.4% 25.4% 40.4%
Sep-2022 30.5% 25.5% 40.5%
Oct-2022 30.7% 25.5% 40.6%
Nov-2022 30.7% 25.5% 40.6%
Dec-2022 30.8% 25.5% 40.6%
Jan-2023 30.8% 25.5% 40.6%
Feb-2023 30.8% 25.5% 40.6%
Mar-2023 30.9% 25.6% 40.7%
Apr-2023 31.0% 25.6% 40.8%
May-2023 31.1% 25.6% 40.9%
Jun-2023 31.2% 25.7% 40.9%
Jul-2023 31.4% 25.7% 41.0%
Aug-2023 31.3% 25.7% 41.0%
Sep-2023 31.3% 25.7% 40.9%
Oct-2023 31.2% 25.7% 40.9%
Nov-2023 31.1% 25.7% 40.9%
Dec-2023 31.0% 25.7% 40.9%
Jan-2024 30.9% 25.7% 41.0%
Feb-2024 30.8% 25.7% 41.0%
Mar-2024 30.8% 25.8% 41.0%
Apr-2024 30.8% 25.8% 41.0%
May-2024 30.9% 25.8% 41.0%
Jun-2024 31.0% 25.8% 41.1%
Jul-2024 30.9% 25.8% 41.1%
Aug-2024 31.0% 25.8% 41.1%
Sep-2024 31.1% 25.8% 41.2%
Oct-2024 31.2% 25.8% 41.2%
Nov-2024 31.5% 25.9% 41.3%
Dec-2024 31.5% 25.9% 41.4%
Jan-2025 31.6% 25.9% 41.4%
Feb-2025 31.5% 26.0% 41.5%
Mar-2025 31.5% 26.0% 41.5%
Apr-2025 31.6% 26.0% 41.6%
May-2025 31.6% 26.0% 41.6%
Jun-2025 31.6% 25.9% 41.6%
Jul-2025 31.6% 26.0% 41.7%
Aug-2025 31.6% 26.0% 41.8%
Sep-2025 31.5% 26.0% 41.8%
Oct-2025
Nov-2025 31.4% 26.0% 41.8%
Dec-2025 31.5% 26.0% 41.8%
Jan-2026 31.5% 26.1% 41.8%
Feb-2026 31.5% 26.1% 41.9%
Mar-2026 31.6% 26.1% 41.9%
ChartData Download data

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

Economic Policy Institute

Notes: This series is based on 12-month moving averages. Shaded areas indicate recessions.

Source: EPI analysis of the Current Population Survey basic monthly microdata, EPI Current Population Survey Extracts, Version 2026.4.13, https://microdata.epi.org

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

The democratization of college degrees carries some clear upsides for productivity and the overall health of the U.S. economy. A more diverse set of people have accessed higher education and benefited from the advantages of being a degree holder in recent decades. This rise in college attainment has obviously not been costless, as many of these degrees could only be obtained by taking on large amounts of student debt, which may well provide some constraints on labor market opportunities and options for young adults.

Young college graduates used to be more male, white, and likely to come from higher-income families—all characteristics rewarded (fairly or not) in labor markets. This growing diversity of college graduates may well mean that young grads are less likely to exit (or not enter) the labor force when job prospects are bad. In prior decades, it is possible that young college graduates were more likely to have resources to fall back on during periods of unemployment, and they clearly had less student loan debt. Now, with fewer fallback options and greater debt levels, the cost of being jobless may weigh more heavily on this group, leading people to continue actively searching for work instead of staying out of the labor force even when jobs are scarce, driving the unemployment rate higher.

The long-term rise in educational attainment may also have helped squeeze the wage advantage college graduates hold over those with just a high school degree. Some of the same reasons discussed above—the college-educated population becoming more economically diverse and more workers attaining advanced degrees—may also have eroded the measured earnings edge that once came with just a bachelor’s degree.

A useful way to measure this is the college wage premium. The college wage premium is the percentage boost in wages associated with holding a college degree, after controlling for demographic factors like race, gender, age, and geography. As Figure E shows, this premium peaked around 2015 and has declined slowly since. Today, the overall college wage premium stands at 55.2%, roughly where it was in the late 1990s. For younger workers ages 22–27, the premium is slightly lower, but follows the same pattern, also peaking around 2015 before flattening or trending downward.

Figure E

College wage premium has been declining in recent years: College wage premium for all workers and young workers, 1980–2026 of employment, by selected groups

Date  All Age 22–27
1980-01-01 31.1% 17.2%
1981-01-01 32.3% 18.9%
1982-01-01 34.4% 22.3%
1983-01-01 36.8% 23.7%
1984-01-01 39.5% 27.2%
1985-01-01 41.9% 31.9%
1986-01-01 44.2% 32.9%
1987-01-01 46.9% 34.7%
1988-01-01 47.3% 35.0%
1989-01-01 47.1% 38.0%
1990-01-01 50.2% 40.4%
1991-01-01 49.1% 35.4%
1992-01-01 50.9% 33.8%
1993-01-01 51.5% 36.4%
1994-01-01 52.3% 34.5%
1995-01-01 52.5% 34.7%
1996-01-01 51.9% 35.1%
1997-01-01 53.6% 37.6%
1998-01-01 55.9% 42.9%
1999-01-01 57.3% 42.5%
2000-01-01 58.3% 44.1%
2001-01-01 58.7% 45.2%
2002-01-01 57.1% 42.5%
2003-01-01 56.1% 37.7%
2004-01-01 55.5% 37.8%
2005-01-01 57.8% 39.9%
2006-01-01 58.0% 44.1%
2007-01-01 59.8% 46.1%
2008-01-01 60.3% 44.5%
2009-01-01 58.4% 41.9%
2010-01-01 60.4% 40.9%
2011-01-01 60.0% 42.8%
2012-01-01 60.9% 41.2%
2013-01-01 62.6% 46.1%
2014-01-01 60.4% 45.2%
2015-01-01 63.3% 49.7%
2016-01-01 63.5% 49.8%
2017-01-01 61.1% 46.6%
2018-01-01 60.0% 45.9%
2019-01-01 61.7% 48.4%
2020-01-01 61.8% 50.6%
2021-01-01 59.8% 42.5%
2022-01-01 61.2% 43.7%
2023-01-01 59.5% 39.2%
2024-01-01 57.9% 42.8%
2025-01-01 55.2% 40.0%
ChartData Download data

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

Economic Policy Institute

Notes: This series in not based in year ending March. Annual calculations are made using the usual January–December period. Shaded areas indicate recessions.

Source: EPI analysis of the Current Population Survey basic monthly microdata, EPI Current Population Survey Extracts, Version 2026.4.13, https://microdata.epi.org

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

The labor market is weakening and young workers’ prospects seem worse-off than they did just a couple of years ago. But young college graduates are facing a weakened labor market only slightly worse than that experienced by other workers. Their unemployment rate has risen faster, though similarly to noncollege young workers, while their employment-to-population ratio has remained generally strong. A depressed hires rate may make it even harder for these young workers to get a foothold in the labor market. Much of these short-term trends of higher and rising unemployment are the continuation of a decades-long trend of worsening outcomes as the overall population increases their educational attainment.


1. Throughout this brief, we define young college graduates as people between the ages of 22 and 27 with only a college degree. Unlike similar analyses of young workers, We do not exclude young college graduates that are currently enrolled in school, but the results here are robust either way. Unless otherwise noted, data for 2026 represent a 12-month average from April 2025 through March 2026 for the most up to date and reliable estimates, which removes seasonality and increases sample sizes. Analysis for smaller demographic groups uses a 36-month average to improve reliability.