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Topic Archives: Earnings and Wages

Update to the CareerInfo Mobile App Now Available

Occupational Outlook Handbook emblem

BLS has partnered with the U.S. Department of Labor’s Office of the Chief Information Officer to update the CareerInfo app with more content. The updated app is now available from the App Store and Google Play. CareerInfo presents information from the Occupational Outlook Handbook, the most popular BLS resource for career information.

The CareerInfo app helps you find information about employment, pay, job outlook, education and training requirements, and more for hundreds of detailed occupations. You can browse occupational groups and titles or search by occupation or keywords. Within occupational groups, the app allows you to sort by occupation title, projected growth, and typical education or median pay. You also now can browse top lists such as top paying, fastest growing, and most new jobs! Each occupational profile now includes more detailed information on what they do, work environment, how to become one, pay, and job outlook.

CareerInfo mobile app information about 20 fastest-growing occupations
CareerInfo mobile app pay and job data for carpenters

Future updates will add features that will let you personalize the app by filtering searches and by “liking,” saving, viewing, and comparing favorites.

Check out the new CareerInfo app and explore the occupational information from BLS. You’ll be glad you did!

Celebrating African American History Month

In honor of African American History Month, we’d like to highlight some employment statistics about Black or African American men and women.

Historically, the employment–population ratio for Black men has been considerably lower than the rate for men overall. For example, 60.0 percent of Black men were employed in January 2022, 5.1 percentage points lower than the employment–population ratio for men overall. By contrast, the employment–population ratios for Black women and for women overall have historically been much closer. In January 2022, the ratio for Black women was 55.7 percent, 1.1 percentage points higher than the ratio for women overall.

At the start of the COVID-19 pandemic, the employment–population ratio for Black men fell by 10.2 percentage points between February 2020 and April 2020 to 50.4 percent. This was the lowest in the history of the data, going back to 1972. Over the same period, the ratio for men overall fell by a slightly smaller amount—9.6 percentage points—to 57.2 percent. However, between April 2020 and January 2022, the ratio for Black men has risen by 9.6 percentage points, while the ratio for men overall has risen by a smaller amount, 7.9 percentage points.

Between February 2020 and April 2020, the employment–population ratio for Black women fell by 11.0 percentage points, a greater decline than the 10.1 percentage points for women overall. Since April 2020, the measure for Black women has risen less than that for women overall (8.3 percentage points versus 8.8 percentage points).

Employment–population ratios of Blacks or African Americans and the total population by sex, January 1972–January 2022, seasonally adjusted

Editor’s note: Data for this chart are available in the table below.

The disparity in the recovery of the employment–population ratio between men and women may partially reflect the industries in which they are employed.

In 2021, 14.9 percent of employed Black men worked in transportation and utilities, a larger share than for men overall (8.7 percent). Within transportation and utilities, Black men were particularly likely to work in couriers and messengers and in warehousing and storage; these industries have fully recovered the jobs they lost between February 2020 and April 2020 and have continued to add jobs.

Percent distribution of employed Blacks or African Americans and the total workforce by selected  industry and sex, 2021 annual averages

Editor’s note: Data for this chart are available in the table below.

In 2021, 40.1 percent of employed Black women worked in education and health services, a larger share than for women overall (36.0 percent). Employment in the education and health services industry is still 2.6 percent below its February 2020 level. Within this broad industry, Black women were especially likely to work in nursing and residential care facilities, where employment is 12.1 percent below its level before the pandemic.

We have more information about the labor force characteristics of Black men and women on our labor force demographics page.

This is just a sample of the information available on the labor force status of African Americans. Explore for yourself some of our other resources to expand your knowledge.

Employment–population ratios of Blacks or African Americans and the total population by sex, January 1972–January 2022, seasonally adjusted
MonthTotal menTotal womenBlack menBlack women

Jan 1972

74.6%40.8%65.1%43.1%

Feb 1972

74.640.865.742.9

Mar 1972

74.941.066.742.9

Apr 1972

74.940.967.143.0

May 1972

74.941.067.043.2

Jun 1972

75.140.968.542.9

Jul 1972

75.140.966.842.6

Aug 1972

75.341.067.242.4

Sep 1972

75.140.966.842.7

Oct 1972

75.040.966.642.3

Nov 1972

75.141.166.843.7

Dec 1972

75.441.367.243.9

Jan 1973

75.141.066.743.1

Feb 1973

75.441.667.843.8

Mar 1973

75.741.768.043.8

Apr 1973

75.541.967.543.5

May 1973

75.342.167.043.3

Jun 1973

75.642.367.143.1

Jul 1973

75.742.167.444.5

Aug 1973

75.442.167.444.4

Sep 1973

75.442.267.243.9

Oct 1973

75.742.468.044.4

Nov 1973

75.842.667.944.2

Dec 1973

75.842.568.344.0

Jan 1974

76.042.368.644.0

Feb 1974

75.842.667.643.9

Mar 1974

75.542.767.042.9

Apr 1974

75.142.766.643.7

May 1974

75.342.666.643.9

Jun 1974

75.042.765.743.8

Jul 1974

74.843.065.643.6

Aug 1974

74.742.865.243.9

Sep 1974

74.642.764.844.3

Oct 1974

74.442.665.343.5

Nov 1974

74.142.364.142.3

Dec 1974

73.442.163.042.0

Jan 1975

72.642.062.141.8

Feb 1975

72.241.761.441.4

Mar 1975

71.941.760.641.6

Apr 1975

71.641.859.741.4

May 1975

71.741.960.441.5

Jun 1975

71.341.960.142.0

Jul 1975

71.742.160.841.7

Aug 1975

71.842.260.741.4

Sep 1975

71.642.260.741.4

Oct 1975

71.542.360.241.6

Nov 1975

71.442.260.141.8

Dec 1975

71.442.459.742.1

Jan 1976

71.842.760.242.6

Feb 1976

71.942.860.142.6

Mar 1976

71.943.060.043.8

Apr 1976

72.243.160.943.4

May 1976

72.243.460.943.1

Jun 1976

71.843.359.942.8

Jul 1976

72.143.560.542.4

Aug 1976

72.343.361.142.5

Sep 1976

72.143.260.842.3

Oct 1976

72.143.260.642.2

Nov 1976

72.043.660.943.3

Dec 1976

72.043.661.242.7

Jan 1977

72.143.661.542.5

Feb 1977

72.243.861.842.5

Mar 1977

72.344.061.742.8

Apr 1977

72.644.262.343.1

May 1977

72.644.660.943.7

Jun 1977

72.844.462.043.3

Jul 1977

72.844.461.142.9

Aug 1977

72.944.660.843.5

Sep 1977

72.844.860.343.8

Oct 1977

73.244.860.643.5

Nov 1977

73.545.161.643.3

Dec 1977

73.645.362.645.0

Jan 1978

73.545.562.544.8

Feb 1978

73.445.762.845.4

Mar 1978

73.345.863.345.4

Apr 1978

73.646.263.245.6

May 1978

73.846.363.345.7

Jun 1978

74.146.563.546.1

Jul 1978

73.846.363.745.3

Aug 1978

73.946.462.646.6

Sep 1978

73.746.763.646.7

Oct 1978

73.847.063.846.5

Nov 1978

74.147.063.546.0

Dec 1978

73.947.163.546.0

Jan 1979

74.247.163.245.8

Feb 1979

74.347.363.145.8

Mar 1979

74.047.563.246.6

Apr 1979

73.947.162.945.9

May 1979

73.847.263.445.4

Jun 1979

74.047.263.845.8

Jul 1979

73.947.563.946.3

Aug 1979

73.747.364.245.3

Sep 1979

73.947.664.445.9

Oct 1979

73.547.763.746.4

Nov 1979

73.447.962.946.5

Dec 1979

73.548.062.646.6

Jan 1980

73.348.061.946.4

Feb 1980

73.447.961.646.3

Mar 1980

73.047.861.345.8

Apr 1980

72.347.760.945.6

May 1980

71.947.660.345.7

Jun 1980

71.547.559.845.4

Jul 1980

71.447.559.945.7

Aug 1980

71.447.559.746.0

Sep 1980

71.447.659.545.7

Oct 1980

71.647.660.045.4

Nov 1980

71.647.760.145.3

Dec 1980

71.747.659.945.2

Jan 1981

71.747.860.345.7

Feb 1981

71.648.059.845.2

Mar 1981

71.848.160.245.2

Apr 1981

72.148.360.346.3

May 1981

71.948.460.545.2

Jun 1981

71.148.158.445.1

Jul 1981

71.548.158.745.0

Aug 1981

71.448.158.244.3

Sep 1981

71.147.558.944.6

Oct 1981

70.847.958.445.0

Nov 1981

70.547.957.545.6

Dec 1981

70.047.657.544.9

Jan 1982

69.947.757.145.2

Feb 1982

69.947.757.244.5

Mar 1982

69.647.756.844.2

Apr 1982

69.547.656.643.7

May 1982

69.747.856.444.0

Jun 1982

68.947.855.544.2

Jul 1982

68.847.856.144.0

Aug 1982

68.847.856.044.3

Sep 1982

68.647.855.144.4

Oct 1982

68.447.555.044.0

Nov 1982

68.247.555.543.8

Dec 1982

68.047.554.644.1

Jan 1983

67.947.555.043.8

Feb 1983

67.847.555.344.5

Mar 1983

67.847.555.444.0

Apr 1983

68.047.655.243.8

May 1983

68.147.555.044.1

Jun 1983

69.047.756.143.7

Jul 1983

69.248.056.744.4

Aug 1983

69.248.456.244.3

Sep 1983

69.348.756.844.8

Oct 1983

69.448.557.143.9

Nov 1983

69.948.758.044.1

Dec 1983

69.948.858.044.1

Jan 1984

70.048.758.144.4

Feb 1984

70.349.059.445.7

Mar 1984

70.349.058.545.6

Apr 1984

70.449.357.846.1

May 1984

70.749.959.346.4

Jun 1984

71.249.758.847.3

Jul 1984

70.849.858.446.9

Aug 1984

70.749.559.547.4

Sep 1984

70.949.659.847.5

Oct 1984

70.949.660.247.3

Nov 1984

71.049.760.647.9

Dec 1984

71.049.960.048.0

Jan 1985

70.950.159.848.4

Feb 1985

70.850.359.647.5

Mar 1985

71.050.559.648.2

Apr 1985

71.050.459.748.5

May 1985

71.150.259.948.0

Jun 1985

70.650.160.148.6

Jul 1985

70.750.259.947.9

Aug 1985

70.950.260.947.8

Sep 1985

71.050.660.347.7

Oct 1985

71.050.759.948.1

Nov 1985

71.050.859.448.0

Dec 1985

71.050.960.148.6

Jan 1986

71.350.960.748.5

Feb 1986

70.950.860.548.5

Mar 1986

70.951.061.048.9

Apr 1986

70.951.060.949.2

May 1986

70.851.261.549.1

Jun 1986

70.951.561.048.9

Jul 1986

70.951.660.648.7

Aug 1986

70.951.759.448.2

Sep 1986

70.951.759.948.8

Oct 1986

70.951.860.349.2

Nov 1986

71.151.760.549.0

Dec 1986

71.251.761.248.7

Jan 1987

71.351.761.248.8

Feb 1987

71.351.961.549.4

Mar 1987

71.252.161.649.2

Apr 1987

71.352.361.649.5

May 1987

71.552.661.349.9

Jun 1987

71.352.561.750.2

Jul 1987

71.452.762.250.7

Aug 1987

71.652.962.951.3

Sep 1987

71.652.662.450.5

Oct 1987

71.752.862.651.5

Nov 1987

71.752.962.751.4

Dec 1987

71.853.162.551.5

Jan 1988

71.953.162.851.2

Feb 1988

72.053.162.150.9

Mar 1988

71.653.261.550.6

Apr 1988

72.253.262.950.1

May 1988

72.052.962.550.1

Jun 1988

72.153.362.550.1

Jul 1988

72.253.362.651.9

Aug 1988

72.253.563.351.4

Sep 1988

72.153.563.051.4

Oct 1988

72.053.863.151.8

Nov 1988

72.154.162.852.1

Dec 1988

72.054.162.952.4

Jan 1989

72.254.463.051.9

Feb 1989

72.454.262.852.0

Mar 1989

72.654.263.151.9

Apr 1989

72.554.262.051.8

May 1989

72.454.262.652.3

Jun 1989

72.854.163.351.6

Jul 1989

72.754.263.752.3

Aug 1989

72.654.463.052.0

Sep 1989

72.054.562.352.0

Oct 1989

72.454.362.451.7

Nov 1989

72.354.762.352.0

Dec 1989

72.354.462.251.9

Jan 1990

72.654.662.852.9

Feb 1990

72.654.563.152.9

Mar 1990

72.654.663.252.8

Apr 1990

72.354.563.252.5

May 1990

72.454.663.352.9

Jun 1990

72.254.463.152.1

Jul 1990

72.154.362.551.4

Aug 1990

71.954.462.451.2

Sep 1990

71.654.262.051.0

Oct 1990

71.654.262.051.2

Nov 1990

71.454.062.051.2

Dec 1990

71.353.961.850.9

Jan 1991

71.053.861.851.1

Feb 1991

70.753.861.750.8

Mar 1991

70.653.762.450.9

Apr 1991

70.754.161.551.1

May 1991

70.453.660.150.9

Jun 1991

70.453.761.150.6

Jul 1991

70.353.661.351.0

Aug 1991

70.253.560.950.3

Sep 1991

70.353.761.951.2

Oct 1991

70.153.761.149.6

Nov 1991

70.053.661.049.7

Dec 1991

69.753.560.750.3

Jan 1992

69.853.860.750.3

Feb 1992

69.653.759.850.3

Mar 1992

69.853.859.850.4

Apr 1992

70.053.959.750.3

May 1992

69.953.859.750.4

Jun 1992

69.953.760.151.0

Jul 1992

70.053.860.051.3

Aug 1992

70.053.860.351.9

Sep 1992

69.953.760.151.4

Oct 1992

69.753.659.650.8

Nov 1992

69.753.760.050.4

Dec 1992

69.853.759.250.6

Jan 1993

69.853.759.949.5

Feb 1993

69.953.760.750.8

Mar 1993

69.953.959.350.5

Apr 1993

69.853.858.850.3

May 1993

70.154.160.250.9

Jun 1993

70.154.159.850.5

Jul 1993

70.254.160.750.7

Aug 1993

70.354.361.151.1

Sep 1993

70.054.260.051.3

Oct 1993

70.054.359.951.6

Nov 1993

70.154.459.551.8

Dec 1993

70.154.659.752.1

Jan 1994

70.254.959.451.5

Feb 1994

70.155.159.851.8

Mar 1994

70.054.960.551.9

Apr 1994

70.155.160.652.2

May 1994

70.355.461.351.7

Jun 1994

70.255.160.852.8

Jul 1994

70.155.260.352.8

Aug 1994

70.555.360.152.7

Sep 1994

70.655.461.052.7

Oct 1994

70.855.561.652.5

Nov 1994

71.055.661.752.3

Dec 1994

71.355.562.652.0

Jan 1995

71.255.562.352.5

Feb 1995

71.355.663.153.4

Mar 1995

71.355.663.353.2

Apr 1995

71.155.762.653.3

May 1995

70.555.661.753.7

Jun 1995

70.855.361.752.9

Jul 1995

70.755.660.852.6

Aug 1995

70.655.760.552.8

Sep 1995

70.855.661.252.5

Oct 1995

70.755.861.454.0

Nov 1995

70.355.961.355.5

Dec 1995

70.455.660.554.6

Jan 1996

70.555.561.054.1

Feb 1996

70.755.760.853.8

Mar 1996

70.755.860.754.1

Apr 1996

70.755.960.754.1

May 1996

70.855.861.354.6

Jun 1996

71.055.960.754.4

Jul 1996

71.156.161.354.7

Aug 1996

71.156.262.254.4

Sep 1996

71.156.460.854.2

Oct 1996

71.356.461.154.8

Nov 1996

70.956.561.154.8

Dec 1996

71.156.461.154.7

Jan 1997

71.056.460.555.0

Feb 1997

71.056.360.754.9

Mar 1997

71.256.660.355.5

Apr 1997

71.356.760.655.4

May 1997

71.556.760.955.1

Jun 1997

71.356.860.954.8

Jul 1997

71.457.061.855.9

Aug 1997

71.457.063.556.5

Sep 1997

71.357.062.456.4

Oct 1997

71.457.062.155.6

Nov 1997

71.757.062.055.8

Dec 1997

71.457.261.156.4

Jan 1998

71.557.062.056.5

Feb 1998

71.557.061.857.0

Mar 1998

71.457.162.757.1

Apr 1998

71.857.063.156.5

May 1998

71.757.162.656.0

Jun 1998

71.657.063.757.1

Jul 1998

71.557.062.857.0

Aug 1998

71.457.162.857.3

Sep 1998

71.657.362.957.0

Oct 1998

71.657.163.857.8

Nov 1998

71.857.163.158.1

Dec 1998

71.757.463.158.5

Jan 1999

71.957.464.058.7

Feb 1999

71.757.362.958.0

Mar 1999

71.757.362.958.1

Apr 1999

71.657.362.758.7

May 1999

71.757.563.658.4

Jun 1999

71.657.463.258.6

Jul 1999

71.657.462.258.7

Aug 1999

71.557.563.258.6

Sep 1999

71.657.462.958.9

Oct 1999

71.557.663.058.7

Nov 1999

71.757.662.958.8

Dec 1999

71.857.663.358.3

Jan 2000

72.257.661.259.0

Feb 2000

72.257.561.558.9

Mar 2000

72.257.561.258.9

Apr 2000

72.158.064.559.0

May 2000

71.957.563.358.8

Jun 2000

72.057.563.258.5

Jul 2000

71.657.363.258.1

Aug 2000

71.957.162.958.2

Sep 2000

71.757.462.958.1

Oct 2000

71.657.463.358.5

Nov 2000

71.757.563.758.7

Dec 2000

71.757.663.358.7

Jan 2001

71.857.663.758.1

Feb 2001

71.657.563.258.5

Mar 2001

71.457.762.658.7

Apr 2001

71.357.262.258.6

May 2001

71.157.262.158.6

Jun 2001

70.957.061.658.6

Jul 2001

70.957.062.158.5

Aug 2001

70.456.661.557.5

Sep 2001

70.856.762.557.0

Oct 2001

70.356.661.256.7

Nov 2001

70.056.660.956.2

Dec 2001

70.056.361.856.1

Jan 2002

69.756.262.055.9

Feb 2002

69.956.661.955.9

Mar 2002

69.856.461.755.3

Apr 2002

69.856.261.855.6

May 2002

70.156.162.555.5

Jun 2002

69.856.260.755.6

Jul 2002

69.756.161.055.3

Aug 2002

69.756.360.955.7

Sep 2002

70.056.461.456.5

Oct 2002

69.756.361.256.1

Nov 2002

69.256.259.055.9

Dec 2002

69.156.259.156.2

Jan 2003

68.956.559.656.4

Feb 2003

69.256.260.255.5

Mar 2003

68.956.359.256.1

Apr 2003

69.056.359.556.1

May 2003

68.856.359.156.8

Jun 2003

68.756.459.455.6

Jul 2003

68.656.159.655.4

Aug 2003

68.656.059.355.6

Sep 2003

68.955.759.555.6

Oct 2003

68.955.959.254.8

Nov 2003

69.056.059.755.7

Dec 2003

69.255.760.054.3

Jan 2004

69.455.760.355.4

Feb 2004

69.156.059.455.7

Mar 2004

69.055.959.755.8

Apr 2004

69.056.058.956.0

May 2004

68.956.159.255.0

Jun 2004

69.256.059.454.7

Jul 2004

69.456.058.555.9

Aug 2004

69.356.059.055.8

Sep 2004

69.155.959.355.6

Oct 2004

69.255.959.555.5

Nov 2004

69.456.059.455.3

Dec 2004

69.256.158.955.4

Jan 2005

69.156.158.855.3

Feb 2005

69.256.058.655.0

Mar 2005

69.456.059.455.0

Apr 2005

69.656.260.255.2

May 2005

69.856.260.855.6

Jun 2005

69.856.160.955.8

Jul 2005

69.856.261.856.0

Aug 2005

69.956.461.255.9

Sep 2005

69.756.460.756.1

Oct 2005

69.756.460.757.0

Nov 2005

69.656.359.356.1

Dec 2005

69.756.360.055.9

Jan 2006

70.056.360.055.9

Feb 2006

70.056.460.756.4

Mar 2006

70.256.461.156.4

Apr 2006

70.056.460.956.0

May 2006

70.056.661.156.6

Jun 2006

70.056.760.356.2

Jul 2006

69.656.860.056.2

Aug 2006

69.956.860.357.1

Sep 2006

70.256.560.056.1

Oct 2006

70.256.860.657.2

Nov 2006

70.256.860.957.1

Dec 2006

70.456.961.657.2

Jan 2007

70.356.861.857.5

Feb 2007

70.156.861.257.2

Mar 2007

70.256.960.456.9

Apr 2007

70.056.360.656.7

May 2007

69.956.660.356.5

Jun 2007

69.856.759.956.7

Jul 2007

69.656.661.456.6

Aug 2007

69.456.561.756.3

Sep 2007

69.556.860.956.4

Oct 2007

69.356.559.856.3

Nov 2007

69.656.660.355.7

Dec 2007

69.456.559.856.1

Jan 2008

69.656.660.956.1

Feb 2008

69.556.560.856.3

Mar 2008

69.356.560.156.6

Apr 2008

69.256.660.256.8

May 2008

69.056.559.656.0

Jun 2008

68.856.459.755.9

Jul 2008

68.656.359.056.1

Aug 2008

68.356.159.955.6

Sep 2008

68.156.158.554.9

Oct 2008

67.856.157.855.1

Nov 2008

67.355.856.755.1

Dec 2008

66.755.656.455.3

Jan 2009

66.255.255.654.8

Feb 2009

65.755.254.953.8

Mar 2009

65.155.054.253.5

Apr 2009

65.054.953.853.4

May 2009

64.854.753.953.0

Jun 2009

64.654.553.553.2

Jul 2009

64.554.553.953.2

Aug 2009

64.254.353.252.6

Sep 2009

63.953.952.851.9

Oct 2009

63.753.752.851.3

Nov 2009

63.653.852.752.0

Dec 2009

63.353.552.751.3

Jan 2010

63.353.952.551.6

Feb 2010

63.453.852.551.8

Mar 2010

63.653.752.551.6

Apr 2010

64.053.753.351.5

May 2010

63.953.654.152.1

Jun 2010

63.853.652.852.2

Jul 2010

63.953.553.251.5

Aug 2010

63.953.553.451.3

Sep 2010

63.853.552.851.2

Oct 2010

63.653.353.451.5

Nov 2010

63.453.453.151.8

Dec 2010

63.653.353.251.8

Jan 2011

63.753.352.651.3

Feb 2011

63.853.252.751.2

Mar 2011

63.853.452.650.9

Apr 2011

63.753.352.550.4

May 2011

63.853.252.050.4

Jun 2011

63.753.052.650.0

Jul 2011

63.653.152.449.9

Aug 2011

63.953.152.550.6

Sep 2011

63.953.253.151.5

Oct 2011

63.953.353.551.7

Nov 2011

64.353.253.050.8

Dec 2011

64.453.154.450.6

Jan 2012

64.352.955.250.9

Feb 2012

64.353.154.052.2

Mar 2012

64.353.254.152.4

Apr 2012

64.353.053.852.6

May 2012

64.353.154.252.0

Jun 2012

64.453.254.352.1

Jul 2012

64.353.053.852.0

Aug 2012

64.153.153.752.2

Sep 2012

64.553.353.652.4

Oct 2012

64.753.354.052.9

Nov 2012

64.653.254.352.2

Dec 2012

64.653.254.051.7

Jan 2013

64.553.054.852.1

Feb 2013

64.553.055.251.6

Mar 2013

64.552.955.351.6

Apr 2013

64.453.254.452.4

May 2013

64.453.254.352.8

Jun 2013

64.553.253.952.0

Jul 2013

64.453.454.852.4

Aug 2013

64.353.554.052.1

Sep 2013

64.453.354.752.1

Oct 2013

64.052.954.451.5

Nov 2013

64.553.154.651.7

Dec 2013

64.553.254.452.1

Jan 2014

64.553.454.452.4

Feb 2014

64.353.654.253.3

Mar 2014

64.853.455.252.8

Apr 2014

64.653.555.452.7

May 2014

64.653.555.352.7

Jun 2014

64.953.556.153.0

Jul 2014

65.053.456.353.0

Aug 2014

65.053.456.352.1

Sep 2014

65.253.457.053.0

Oct 2014

65.353.756.953.1

Nov 2014

65.153.756.253.3

Dec 2014

65.353.656.753.4

Jan 2015

65.353.756.453.2

Feb 2015

65.353.656.753.3

Mar 2015

65.353.656.953.5

Apr 2015

65.553.658.554.2

May 2015

65.553.857.654.2

Jun 2015

65.353.857.154.8

Jul 2015

65.453.657.254.8

Aug 2015

65.453.857.254.8

Sep 2015

65.353.557.154.5

Oct 2015

65.353.757.254.9

Nov 2015

65.254.056.755.0

Dec 2015

65.554.157.955.1

Jan 2016

65.754.157.754.9

Feb 2016

65.954.158.254.5

Mar 2016

65.954.258.354.1

Apr 2016

65.854.058.253.8

May 2016

65.754.158.554.0

Jun 2016

65.953.958.554.1

Jul 2016

65.854.158.354.4

Aug 2016

65.954.158.555.6

Sep 2016

65.854.158.455.3

Oct 2016

65.754.158.055.3

Nov 2016

65.754.158.655.6

Dec 2016

65.754.158.755.7

Jan 2017

65.954.259.656.0

Feb 2017

65.954.459.055.9

Mar 2017

66.054.759.056.0

Apr 2017

66.254.659.855.9

May 2017

66.054.559.756.1

Jun 2017

66.154.659.855.9

Jul 2017

66.054.859.556.2

Aug 2017

66.054.658.955.9

Sep 2017

66.354.860.456.3

Oct 2017

66.054.558.956.2

Nov 2017

65.954.659.056.6

Dec 2017

66.154.559.456.8

Jan 2018

66.354.559.455.8

Feb 2018

66.654.761.456.3

Mar 2018

66.554.760.756.7

Apr 2018

66.554.760.356.0

May 2018

66.554.861.056.6

Jun 2018

66.354.959.757.2

Jul 2018

66.355.260.157.0

Aug 2018

66.154.860.456.1

Sep 2018

66.155.060.257.2

Oct 2018

66.255.160.257.1

Nov 2018

66.455.160.256.7

Dec 2018

66.255.259.656.4

Jan 2019

66.555.260.057.3

Feb 2019

66.555.360.056.7

Mar 2019

66.555.259.956.5

Apr 2019

66.455.260.356.8

May 2019

66.555.060.257.3

Jun 2019

66.655.160.056.7

Jul 2019

66.755.261.257.1

Aug 2019

66.655.460.757.1

Sep 2019

66.655.661.157.4

Oct 2019

66.555.760.957.3

Nov 2019

66.855.561.156.8

Dec 2019

66.755.761.057.9

Jan 2020

66.855.860.457.7

Feb 2020

66.855.960.658.4

Mar 2020

65.654.659.556.1

Apr 2020

57.245.850.447.4

May 2020

58.647.351.448.2

Jun 2020

60.249.551.949.9

Jul 2020

60.650.252.950.3

Aug 2020

62.051.354.151.0

Sep 2020

62.351.253.851.5

Oct 2020

63.052.155.052.5

Nov 2020

62.852.355.153.2

Dec 2020

62.952.255.552.6

Jan 2021

63.252.257.052.9

Feb 2021

63.252.556.452.5

Mar 2021

63.252.857.153.1

Apr 2021

63.452.857.353.6

May 2021

63.552.957.453.8

Jun 2021

63.552.958.353.9

Jul 2021

63.853.357.854.2

Aug 2021

64.153.457.754.8

Sep 2021

64.453.557.955.3

Oct 2021

64.653.658.454.5

Nov 2021

65.053.958.755.1

Dec 2021

65.154.358.255.0

Jan 2022

65.154.660.055.7
Percent distribution of employed Blacks or African Americans and the total workforce by selected industry and sex, 2021 annual averages
Selected industryTotal menTotal womenBlack menBlack women

Construction

12.4%1.7%7.2%0.7%

Manufacturing

12.96.011.25.3

Wholesale and retail trade

13.312.415.011.5

Transportation and utilities

8.73.214.95.3

Information

2.01.52.01.4

Financial activities

6.47.85.37.5

Professional and business services

13.711.411.58.9

Education and health services

11.036.013.640.1

Leisure and hospitality

7.79.08.37.8

Other services

4.35.24.13.9

Public administration

4.94.86.07.3

Note: Data do not sum to 100 percent because values are not shown for agriculture and related industries or for mining, quarrying, and oil and gas extraction.

Answers to Some Recent Questions about BLS Data

I tell anyone who will listen that BLS staff love to talk about our data. We have LIVE people at the end of the phone line (or email request) who are happy to answer questions about BLS data and the methods behind those data. The COVID-19 pandemic has not stopped our ability to respond to public questions. Even in our telework posture, we pride ourselves on outstanding customer service. All BLS statistical programs have staff who answer public information requests. We also have a central information staff out of our national office and eight information offices scattered around the country. Yes, we get questions, and we are more than happy to provide answers.

Recently, we’ve received some general questions about our methods, which cover multiple BLS programs. Here are a few of those questions and our answers.

Why does BLS revise published estimates?

One of the hallmarks of BLS economic indicators is their prompt release. We provide a “first look” at a variety of economic conditions, including employment and unemployment, price change, wages, productivity, and more. To release these data in a timely manner, we follow very strict data collection and processing schedules. Data obtained after the collection deadline are not included in the initial release but can be incorporated later. We identify data subject to these revisions as preliminary. Revisions are a necessary part of the statistical estimation process to ensure accuracy.

The Producer Price Index (PPI) recently expanded the amount of revised data available to the public. PPI data are revised for 4 months following initial release, again to account for information received following the initial deadline, thus providing a clearer picture of price change. Until recently, revised data were only available in the fourth month. For example, July data originally published in August would be revised with the November release in December. The expanded data now available show monthly revisions for each of the 4 months following initial release. So, following the initial release of July data in August, revised data for July are available in September, October, and November, before we release final data in December. This change is in response to requests from data users for these interim values.

Other BLS programs release periodic revisions as updated data become available, providing a clearer view of the economy. For example, the Current Employment Statistics program has more information about the monthly revisions to payroll employment data. Details about the methods behind all BLS programs are available in the BLS Handbook of Methods.

Why is it important to respond to BLS surveys?

We carefully design our survey samples to represent the people and businesses in the United States. Without input from these sample members, BLS indicators would not accurately reflect the economic and social conditions in our country. We strive to make completing our surveys as easy as possible, and we often offer multiple ways to provide information. We design survey questions that are easy to understand and answer in a short period of time.

Nearly all of our surveys are voluntary, which means the people, households, and organizations selected can choose whether to participate. We are grateful that the great majority of them agree to participate. The information benefits all of us.

BLS maintains response rate information on our website and updates this information on a regular basis. This information can be very technical, which is why BLS staff stand ready to answer any questions you might have about response rates.

Check out this video to learn more about the importance of responding to BLS surveys.

What effect did the pandemic have on BLS survey participation?

With some careful planning, a lot of hard work, and a little bit of luck, BLS has been able to release all planned data products on schedule, despite the pandemic. We weathered both internal and external challenges. While many of our tasks had been successfully tested in remote environments, we had to change a few processes. Fortunately, those changed processes were successful, and some even spawned innovations we will continue. Externally, we were mindful that many businesses had limited operations or were closed, and many households were preoccupied with illness, childcare, and other responsibilities. Response rates did decline. Since the start of the pandemic, each BLS program has provided more information about survey response and methods. In some cases, response rates have recovered from their pandemic lows, but many are still below levels before the pandemic.

What steps has BLS introduced to combat weak survey response during the pandemic?

BLS takes many different approaches to data collection and works closely with our partners in the states and other statistical agencies to obtain high quality information from businesses and households. Traditionally, some data collection is done in person, where BLS builds a relationship with survey respondents and shows them the importance of response. BLS also offers many options designed to make ongoing response easy, including use of the internet, email, file transfer, and others. At the start of the pandemic, BLS suspended all in-person data collection. We were fortunate that many businesses, even many of those with limited operations during the pandemic, maintained electronic records they provided to BLS, allowing us to continue producing key economic data.

For our part, the pandemic provided an opportunity to accelerate our ongoing move away from paper and mail. We used phone and email to contact respondents and obtain their data. We also began to experiment with video data collection, a process that proved very successful and is now a vital part of our data collection toolkit. While we started slowly with video collection, and took particular care to ensure confidentiality, we quickly discovered huge benefits. BLS staff can use video communications systems to share their screen, demonstrate BLS confidentiality procedures, show data products, and more. In person, shuffling all these papers can be a little unwieldy. With a little practice and planning, video data collection has proved invaluable.

BLS also has explored ways of capturing information without burdening respondents at all. In some cases, we are able to use web scraping to obtain needed data. We are also exploring supplemental data sources, such as data aggregators and crowd sourcing websites. We have accelerated these explorations during the pandemic. We are learning a lot and obtaining more and more data through these alternative approaches, which can mitigate the effects of declining response rates on data quality. These efforts will ensure that BLS data products remain of high quality with enough detail for stakeholders, while lessening respondent burden.

We will return to some in-person data collection over time and will use those interactions to build ongoing relationships. But we also will continue to advance these innovations, such as video collection and web scraping, as options to make data collection more efficient in the future.

Making Sense of Job Openings and Other Labor Market Measures

The current “supply” of labor gets a lot of attention. That concept refers to the number of people working or looking for work. Our monthly Employment Situation report is where policymakers and the general public learn how that supply has changed. BLS also examines the current “demand” for labor with monthly information on filled jobs and job openings. Readers find those estimate in the BLS Job Openings and Labor Turnover Survey (JOLTS). JOLTS defines job openings as all positions that are open, but not filled, on the last business day of the month. A job is “open” only if it meets all of these conditions:

  • A specific position exists and there is work available for that position.
  • The job could start within 30 days.
  • There is active recruiting for workers from outside the establishment.

There were 9.2 million job openings in May 2021, the same record-high level first reached in April. The May job opening rate also was the same as April’s record high; 6.0 percent of all currently available positions were unfilled. This rate is the number of job openings divided by the sum of current employment plus job openings. You can think of it as a measure of capacity or the rate of current unmet demand for labor.

Job openings rate, total nonfarm, December 2000 to May 2021

Editor’s note: Data for this chart are available in the table below.

This spike in openings was sudden by historical standards. It came just one year after an equally sudden drop, which bottomed out in April 2020. In contrast, openings fell more gradually during the 2007–09 recession, then grew even more gradually during the subsequent recovery. The labor market movements during the COVID-19 pandemic have been far more abrupt than those in earlier business cycles.

An abundance of job openings usually signals a “tight” labor market; the demand for labor exceeds the supply at the offered wage. For workers, this may mean it is relatively easy to find a desirable job, assuming they possess the skills employers are seeking. In contrast, employers must compete to hire well-qualified workers.

High unemployment usually signals a “loose” labor market, in which many applicants compete for a limited number of openings; the supply of labor exceeds the demand. Unemployment—the number of workers who lack but seek jobs—stood at 9.5 million in June 2021. That was, down from its pandemic peak of 23 million in April 2020 but still well above its level of less than 6 million before the pandemic. Millions more have left the labor force during the pandemic, and many of them have not returned. These people are not counted as unemployed because they are not actively looking for work. However, we know that 6.4 million of those not in the labor force indicate they want a job now, and 1.6 million say they are not currently searching because of pandemic-related reasons. Some of these people might be willing to consider offers and might add more “looseness” to the labor market.

Comparing the number of job openings to the number of unemployed people provides one measure of the current job market. In May 2021, there was just one unemployed person per job opening—a ratio usually associated with a tight labor market.

Number of unemployed per job opening, December 2000 to May 2021

Editor’s note: Data for this chart are available in the table below.

So, with openings at an all-time high, and unemployment still elevated, is the labor market tight or loose? The answer is complicated. It also can feel different depending on each worker’s and employer’s circumstances. The answer also differs when you look beyond the national data to uncover differing stories by industry or geography.

As the COVID-19 pandemic subsides and many restaurants and other businesses return to normal operations, some employers are finding it hard to hire enough workers quickly. Some economists are unsure whether recent, temporary increases in the availability and generosity of unemployment insurance have influenced some unemployed workers’ interest in taking jobs. At the same time, the lingering effects of the pandemic probably kept some potential workers from entering or reentering the labor force, especially those with school-aged children whose schools were still closed, and those lacking childcare options. These factors could also affect employers’ ability to hire.

We should also remember that not all job applicants come from the ranks of the unemployed. Many are changing jobs or entering (or reentering) the labor force. The recent abundance of job openings may be increasing workers’ likelihood to change jobs. Just as openings reached a new high in April 2021, so did quits, at 4.0 million. Unlike openings, however, quits edged down a bit in May.

Job openings, hires, and quit rates, total nonfarm, December 2000 to May 2021

Editor’s note: Data for this chart are available in the table below.

Another factor could be mismatches between the open jobs and the jobseekers. In June 2021, about 15 percent of unemployed people were seeking part-time work. We don’t know how many of the openings were part-time. Since February of this year, the share of unemployed workers who were unemployed 27 weeks or longer has remained above 40 percent, a level last seen in 2012 and roughly twice the 2019 level. Historically, those unemployed longer are slower to connect with new jobs and more likely to stop looking. It is also possible that some workers’ job preferences changed, at least temporarily, as the pandemic changed the perceived risks and other characteristics of many jobs.

Finally, with many people on the sidelines of the labor market, and job openings at record high levels, employers may look to increase wages to entice potential employees back into the market. The BLS monthly measure of wage trends, average hourly earnings, has been heavily influenced by large employment shifts since the pandemic began. When employment dropped sharply in the spring of 2020, average wages increased, mainly because lower-paid workers were more likely to be out of work. Now that many businesses are reopening, some evidence of wage increases can be seen by focusing on the leisure and hospitality industry. From February 2020, just before the pandemic began, to June 2021, average hourly earnings for this industry rose 3.1 percent, after adjusting for inflation. Data from the Employment Cost Index, which are not influenced by employment shifts, show wages and salaries in the leisure and hospitality industry increasing 1.6 percent, after adjusting for inflation, for the year ending March 2021.

Percent change since February 2020 in real (inflation-adjusted) average hourly earnings

Editor’s note: Data for this chart are available in the table below.

While some employers might find it hard to hire workers quickly, there is a lot of hiring going on. Consider the leisure and hospitality industry, which includes restaurants. In May, a whopping 9.0 percent of positions were open. But the hiring rate was even higher—9.3 percent, far above levels before the pandemic.

Job openings and hires rates, leisure and hospitality, December 2000 to May 2021

Editor’s note: Data for this chart are available in the table below.

The labor market cannot be characterized with a single number. Over time, people change jobs, look for jobs, or leave the labor market entirely. These dynamics can be complicated, as they certainly were during the COVID-19 pandemic. This discussion covers just some of the many measures BLS reports to illuminate labor market conditions. For more analysis of JOLTS data, check out recent articles in the Monthly Labor Review and Beyond the Numbers.

Job openings rate, total nonfarm, December 2000 to May 2021
MonthRate

Dec 2000

3.7%

Jan 2001

3.8

Feb 2001

3.7

Mar 2001

3.5

Apr 2001

3.4

May 2001

3.2

Jun 2001

3.2

Jul 2001

3.3

Aug 2001

3.0

Sep 2001

3.0

Oct 2001

2.7

Nov 2001

2.8

Dec 2001

2.7

Jan 2002

2.7

Feb 2002

2.6

Mar 2002

2.7

Apr 2002

2.6

May 2002

2.6

Jun 2002

2.5

Jul 2002

2.5

Aug 2002

2.6

Sep 2002

2.5

Oct 2002

2.6

Nov 2002

2.6

Dec 2002

2.4

Jan 2003

2.6

Feb 2003

2.4

Mar 2003

2.3

Apr 2003

2.3

May 2003

2.5

Jun 2003

2.5

Jul 2003

2.2

Aug 2003

2.4

Sep 2003

2.3

Oct 2003

2.5

Nov 2003

2.5

Dec 2003

2.5

Jan 2004

2.6

Feb 2004

2.6

Mar 2004

2.6

Apr 2004

2.6

May 2004

2.7

Jun 2004

2.5

Jul 2004

2.8

Aug 2004

2.6

Sep 2004

2.8

Oct 2004

2.9

Nov 2004

2.6

Dec 2004

3.0

Jan 2005

2.8

Feb 2005

2.9

Mar 2005

2.9

Apr 2005

3.0

May 2005

2.8

Jun 2005

2.9

Jul 2005

3.1

Aug 2005

3.0

Sep 2005

3.1

Oct 2005

3.0

Nov 2005

3.1

Dec 2005

3.1

Jan 2006

3.1

Feb 2006

3.1

Mar 2006

3.4

Apr 2006

3.4

May 2006

3.2

Jun 2006

3.3

Jul 2006

3.1

Aug 2006

3.3

Sep 2006

3.3

Oct 2006

3.2

Nov 2006

3.3

Dec 2006

3.3

Jan 2007

3.3

Feb 2007

3.3

Mar 2007

3.5

Apr 2007

3.3

May 2007

3.3

Jun 2007

3.4

Jul 2007

3.2

Aug 2007

3.2

Sep 2007

3.3

Oct 2007

3.2

Nov 2007

3.3

Dec 2007

3.2

Jan 2008

3.2

Feb 2008

3.0

Mar 2008

3.0

Apr 2008

2.8

May 2008

3.0

Jun 2008

2.7

Jul 2008

2.7

Aug 2008

2.6

Sep 2008

2.3

Oct 2008

2.4

Nov 2008

2.3

Dec 2008

2.3

Jan 2009

2.0

Feb 2009

2.1

Mar 2009

1.9

Apr 2009

1.7

May 2009

1.9

Jun 2009

1.9

Jul 2009

1.7

Aug 2009

1.8

Sep 2009

1.9

Oct 2009

1.8

Nov 2009

1.9

Dec 2009

1.9

Jan 2010

2.1

Feb 2010

2.0

Mar 2010

2.0

Apr 2010

2.4

May 2010

2.2

Jun 2010

2.1

Jul 2010

2.3

Aug 2010

2.2

Sep 2010

2.2

Oct 2010

2.4

Nov 2010

2.4

Dec 2010

2.3

Jan 2011

2.3

Feb 2011

2.4

Mar 2011

2.4

Apr 2011

2.4

May 2011

2.4

Jun 2011

2.6

Jul 2011

2.7

Aug 2011

2.5

Sep 2011

2.8

Oct 2011

2.7

Nov 2011

2.6

Dec 2011

2.8

Jan 2012

2.8

Feb 2012

2.6

Mar 2012

2.9

Apr 2012

2.8

May 2012

2.8

Jun 2012

2.8

Jul 2012

2.7

Aug 2012

2.8

Sep 2012

2.8

Oct 2012

2.7

Nov 2012

2.8

Dec 2012

2.9

Jan 2013

2.8

Feb 2013

2.9

Mar 2013

2.9

Apr 2013

2.9

May 2013

3.0

Jun 2013

3.0

Jul 2013

2.8

Aug 2013

2.9

Sep 2013

2.9

Oct 2013

3.0

Nov 2013

2.9

Dec 2013

2.9

Jan 2014

2.9

Feb 2014

3.1

Mar 2014

3.1

Apr 2014

3.2

May 2014

3.3

Jun 2014

3.5

Jul 2014

3.4

Aug 2014

3.7

Sep 2014

3.4

Oct 2014

3.5

Nov 2014

3.3

Dec 2014

3.5

Jan 2015

3.7

Feb 2015

3.7

Mar 2015

3.6

Apr 2015

3.8

May 2015

3.8

Jun 2015

3.6

Jul 2015

4.1

Aug 2015

3.7

Sep 2015

3.7

Oct 2015

3.9

Nov 2015

3.8

Dec 2015

3.9

Jan 2016

4.0

Feb 2016

3.9

Mar 2016

4.1

Apr 2016

3.9

May 2016

3.9

Jun 2016

3.8

Jul 2016

4.0

Aug 2016

3.8

Sep 2016

3.9

Oct 2016

3.7

Nov 2016

4.0

Dec 2016

3.9

Jan 2017

3.7

Feb 2017

3.9

Mar 2017

3.8

Apr 2017

4.0

May 2017

3.8

Jun 2017

4.1

Jul 2017

4.1

Aug 2017

4.1

Sep 2017

4.1

Oct 2017

4.2

Nov 2017

4.1

Dec 2017

4.1

Jan 2018

4.3

Feb 2018

4.3

Mar 2018

4.4

Apr 2018

4.4

May 2018

4.5

Jun 2018

4.7

Jul 2018

4.6

Aug 2018

4.6

Sep 2018

4.7

Oct 2018

4.7

Nov 2018

4.8

Dec 2018

4.7

Jan 2019

4.7

Feb 2019

4.5

Mar 2019

4.7

Apr 2019

4.6

May 2019

4.6

Jun 2019

4.5

Jul 2019

4.5

Aug 2019

4.5

Sep 2019

4.5

Oct 2019

4.6

Nov 2019

4.4

Dec 2019

4.2

Jan 2020

4.5

Feb 2020

4.4

Mar 2020

3.7

Apr 2020

3.4

May 2020

3.9

Jun 2020

4.2

Jul 2020

4.6

Aug 2020

4.4

Sep 2020

4.5

Oct 2020

4.6

Nov 2020

4.5

Dec 2020

4.5

Jan 2021

4.7

Feb 2021

5.0

Mar 2021

5.4

Apr 2021

6.0

May 2021

6.0
Number of unemployed per job opening, December 2000 to May 2021
MonthRatio

Dec 2000

1.1

Jan 2001

1.2

Feb 2001

1.2

Mar 2001

1.3

Apr 2001

1.4

May 2001

1.4

Jun 2001

1.5

Jul 2001

1.5

Aug 2001

1.8

Sep 2001

1.8

Oct 2001

2.1

Nov 2001

2.1

Dec 2001

2.2

Jan 2002

2.2

Feb 2002

2.4

Mar 2002

2.3

Apr 2002

2.5

May 2002

2.4

Jun 2002

2.5

Jul 2002

2.5

Aug 2002

2.4

Sep 2002

2.5

Oct 2002

2.4

Nov 2002

2.4

Dec 2002

2.7

Jan 2003

2.5

Feb 2003

2.7

Mar 2003

2.8

Apr 2003

2.8

May 2003

2.7

Jun 2003

2.7

Jul 2003

3.0

Aug 2003

2.8

Sep 2003

2.9

Oct 2003

2.6

Nov 2003

2.6

Dec 2003

2.4

Jan 2004

2.4

Feb 2004

2.3

Mar 2004

2.4

Apr 2004

2.3

May 2004

2.2

Jun 2004

2.5

Jul 2004

2.1

Aug 2004

2.3

Sep 2004

2.1

Oct 2004

2.0

Nov 2004

2.3

Dec 2004

1.9

Jan 2005

2.0

Feb 2005

2.0

Mar 2005

1.9

Apr 2005

1.8

May 2005

2.0

Jun 2005

1.9

Jul 2005

1.7

Aug 2005

1.8

Sep 2005

1.7

Oct 2005

1.8

Nov 2005

1.8

Dec 2005

1.7

Jan 2006

1.6

Feb 2006

1.7

Mar 2006

1.5

Apr 2006

1.5

May 2006

1.6

Jun 2006

1.5

Jul 2006

1.6

Aug 2006

1.5

Sep 2006

1.4

Oct 2006

1.5

Nov 2006

1.5

Dec 2006

1.5

Jan 2007

1.5

Feb 2007

1.5

Mar 2007

1.4

Apr 2007

1.5

May 2007

1.5

Jun 2007

1.4

Jul 2007

1.6

Aug 2007

1.6

Sep 2007

1.5

Oct 2007

1.6

Nov 2007

1.6

Dec 2007

1.7

Jan 2008

1.7

Feb 2008

1.8

Mar 2008

1.9

Apr 2008

1.9

May 2008

2.0

Jun 2008

2.2

Jul 2008

2.4

Aug 2008

2.6

Sep 2008

2.9

Oct 2008

3.0

Nov 2008

3.3

Dec 2008

3.6

Jan 2009

4.4

Feb 2009

4.5

Mar 2009

5.3

Apr 2009

6.0

May 2009

5.7

Jun 2009

5.9

Jul 2009

6.5

Aug 2009

6.3

Sep 2009

6.0

Oct 2009

6.4

Nov 2009

6.1

Dec 2009

5.9

Jan 2010

5.3

Feb 2010

5.7

Mar 2010

5.7

Apr 2010

4.9

May 2010

5.0

Jun 2010

5.2

Jul 2010

4.7

Aug 2010

4.9

Sep 2010

5.0

Oct 2010

4.5

Nov 2010

4.7

Dec 2010

4.7

Jan 2011

4.5

Feb 2011

4.3

Mar 2011

4.2

Apr 2011

4.3

May 2011

4.4

Jun 2011

4.0

Jul 2011

3.8

Aug 2011

4.2

Sep 2011

3.7

Oct 2011

3.8

Nov 2011

3.7

Dec 2011

3.5

Jan 2012

3.3

Feb 2012

3.5

Mar 2012

3.2

Apr 2012

3.3

May 2012

3.3

Jun 2012

3.2

Jul 2012

3.4

Aug 2012

3.3

Sep 2012

3.1

Oct 2012

3.2

Nov 2012

3.1

Dec 2012

3.1

Jan 2013

3.2

Feb 2013

3.0

Mar 2013

2.9

Apr 2013

2.9

May 2013

2.8

Jun 2013

2.8

Jul 2013

2.9

Aug 2013

2.8

Sep 2013

2.7

Oct 2013

2.6

Nov 2013

2.6

Dec 2013

2.5

Jan 2014

2.5

Feb 2014

2.4

Mar 2014

2.4

Apr 2014

2.1

May 2014

2.1

Jun 2014

1.9

Jul 2014

2.0

Aug 2014

1.8

Sep 2014

1.9

Oct 2014

1.8

Nov 2014

1.9

Dec 2014

1.7

Jan 2015

1.7

Feb 2015

1.6

Mar 2015

1.6

Apr 2015

1.5

May 2015

1.6

Jun 2015

1.6

Jul 2015

1.3

Aug 2015

1.5

Sep 2015

1.4

Oct 2015

1.4

Nov 2015

1.4

Dec 2015

1.4

Jan 2016

1.3

Feb 2016

1.3

Mar 2016

1.3

Apr 2016

1.4

May 2016

1.3

Jun 2016

1.3

Jul 2016

1.3

Aug 2016

1.4

Sep 2016

1.4

Oct 2016

1.4

Nov 2016

1.3

Dec 2016

1.3

Jan 2017

1.3

Feb 2017

1.2

Mar 2017

1.2

Apr 2017

1.2

May 2017

1.2

Jun 2017

1.1

Jul 2017

1.1

Aug 2017

1.1

Sep 2017

1.1

Oct 2017

1.0

Nov 2017

1.1

Dec 2017

1.0

Jan 2018

1.0

Feb 2018

1.0

Mar 2018

1.0

Apr 2018

0.9

May 2018

0.9

Jun 2018

0.9

Jul 2018

0.9

Aug 2018

0.9

Sep 2018

0.8

Oct 2018

0.8

Nov 2018

0.8

Dec 2018

0.9

Jan 2019

0.9

Feb 2019

0.9

Mar 2019

0.8

Apr 2019

0.8

May 2019

0.8

Jun 2019

0.8

Jul 2019

0.8

Aug 2019

0.8

Sep 2019

0.8

Oct 2019

0.8

Nov 2019

0.9

Dec 2019

0.9

Jan 2020

0.8

Feb 2020

0.8

Mar 2020

1.2

Apr 2020

5.0

May 2020

3.9

Jun 2020

2.9

Jul 2020

2.4

Aug 2020

2.1

Sep 2020

1.9

Oct 2020

1.6

Nov 2020

1.6

Dec 2020

1.6

Jan 2021

1.4

Feb 2021

1.3

Mar 2021

1.2

Apr 2021

1.1

May 2021

1.0
Job openings, hires, and quit rates, total nonfarm, December 2000 to May 2021
MonthJob openings rateHires rateQuits rate

Dec 2000

3.7%4.1%2.2%

Jan 2001

3.84.32.4

Feb 2001

3.74.02.3

Mar 2001

3.54.22.3

Apr 2001

3.43.92.4

May 2001

3.24.12.3

Jun 2001

3.23.92.2

Jul 2001

3.34.02.2

Aug 2001

3.04.02.2

Sep 2001

3.03.82.1

Oct 2001

2.73.92.1

Nov 2001

2.83.72.0

Dec 2001

2.73.72.0

Jan 2002

2.73.72.2

Feb 2002

2.63.72.0

Mar 2002

2.73.61.9

Apr 2002

2.63.82.0

May 2002

2.63.71.9

Jun 2002

2.53.71.9

Jul 2002

2.53.82.0

Aug 2002

2.63.72.0

Sep 2002

2.53.71.9

Oct 2002

2.63.71.9

Nov 2002

2.63.71.8

Dec 2002

2.43.71.9

Jan 2003

2.63.91.9

Feb 2003

2.43.61.9

Mar 2003

2.33.41.8

Apr 2003

2.33.51.8

May 2003

2.53.61.8

Jun 2003

2.53.61.8

Jul 2003

2.23.61.7

Aug 2003

2.43.61.7

Sep 2003

2.33.71.8

Oct 2003

2.53.81.9

Nov 2003

2.53.71.8

Dec 2003

2.53.81.9

Jan 2004

2.63.71.8

Feb 2004

2.63.71.9

Mar 2004

2.64.02.0

Apr 2004

2.63.91.9

May 2004

2.73.81.8

Jun 2004

2.53.82.0

Jul 2004

2.83.72.0

Aug 2004

2.63.82.0

Sep 2004

2.83.81.9

Oct 2004

2.93.91.9

Nov 2004

2.63.92.1

Dec 2004

3.03.92.0

Jan 2005

2.83.92.1

Feb 2005

2.94.02.0

Mar 2005

2.94.02.1

Apr 2005

3.04.02.1

May 2005

2.83.92.1

Jun 2005

2.94.02.1

Jul 2005

3.14.02.0

Aug 2005

3.04.02.2

Sep 2005

3.14.12.3

Oct 2005

3.03.82.1

Nov 2005

3.14.02.1

Dec 2005

3.13.92.1

Jan 2006

3.13.92.2

Feb 2006

3.14.02.2

Mar 2006

3.44.12.2

Apr 2006

3.43.82.0

May 2006

3.24.02.2

Jun 2006

3.34.02.2

Jul 2006

3.14.12.2

Aug 2006

3.33.92.2

Sep 2006

3.33.92.1

Oct 2006

3.23.92.2

Nov 2006

3.34.02.2

Dec 2006

3.33.82.2

Jan 2007

3.33.92.1

Feb 2007

3.33.82.1

Mar 2007

3.54.02.2

Apr 2007

3.33.92.1

May 2007

3.34.02.2

Jun 2007

3.43.82.1

Jul 2007

3.23.82.1

Aug 2007

3.23.92.2

Sep 2007

3.33.91.9

Oct 2007

3.23.92.1

Nov 2007

3.33.72.0

Dec 2007

3.23.72.0

Jan 2008

3.23.72.1

Feb 2008

3.03.72.1

Mar 2008

3.03.61.9

Apr 2008

2.83.62.1

May 2008

3.03.41.9

Jun 2008

2.73.61.9

Jul 2008

2.73.41.8

Aug 2008

2.63.41.8

Sep 2008

2.33.31.8

Oct 2008

2.43.31.7

Nov 2008

2.33.01.6

Dec 2008

2.33.21.5

Jan 2009

2.03.11.5

Feb 2009

2.13.01.5

Mar 2009

1.92.91.4

Apr 2009

1.72.91.3

May 2009

1.92.91.3

Jun 2009

1.92.81.3

Jul 2009

1.73.01.3

Aug 2009

1.82.91.2

Sep 2009

1.93.01.2

Oct 2009

1.83.01.3

Nov 2009

1.93.11.4

Dec 2009

1.93.11.4

Jan 2010

2.13.01.3

Feb 2010

2.03.01.4

Mar 2010

2.03.31.4

Apr 2010

2.43.21.5

May 2010

2.23.41.4

Jun 2010

2.13.11.5

Jul 2010

2.33.21.4

Aug 2010

2.23.11.4

Sep 2010

2.23.11.5

Oct 2010

2.43.21.4

Nov 2010

2.43.21.4

Dec 2010

2.33.31.5

Jan 2011

2.33.11.4

Feb 2011

2.43.21.5

Mar 2011

2.43.41.5

Apr 2011

2.43.31.4

May 2011

2.43.21.5

Jun 2011

2.63.31.5

Jul 2011

2.73.21.5

Aug 2011

2.53.31.5

Sep 2011

2.83.31.5

Oct 2011

2.73.31.5

Nov 2011

2.63.31.5

Dec 2011

2.83.31.5

Jan 2012

2.83.31.5

Feb 2012

2.63.41.6

Mar 2012

2.93.41.6

Apr 2012

2.83.31.6

May 2012

2.83.41.6

Jun 2012

2.83.31.6

Jul 2012

2.73.21.5

Aug 2012

2.83.31.5

Sep 2012

2.83.21.4

Oct 2012

2.73.31.5

Nov 2012

2.83.31.5

Dec 2012

2.93.31.5

Jan 2013

2.83.31.7

Feb 2013

2.93.41.7

Mar 2013

2.93.21.6

Apr 2013

2.93.41.7

May 2013

3.03.41.6

Jun 2013

3.03.31.6

Jul 2013

2.83.31.7

Aug 2013

2.93.51.7

Sep 2013

2.93.51.7

Oct 2013

3.03.31.7

Nov 2013

2.93.41.7

Dec 2013

2.93.41.7

Jan 2014

2.93.41.7

Feb 2014

3.13.41.8

Mar 2014

3.13.51.8

Apr 2014

3.23.51.8

May 2014

3.33.51.8

Jun 2014

3.53.51.8

Jul 2014

3.43.61.9

Aug 2014

3.73.51.8

Sep 2014

3.43.72.0

Oct 2014

3.53.71.9

Nov 2014

3.33.61.9

Dec 2014

3.53.71.8

Jan 2015

3.73.62.0

Feb 2015

3.73.61.9

Mar 2015

3.63.62.0

Apr 2015

3.83.71.9

May 2015

3.83.61.9

Jun 2015

3.63.61.9

Jul 2015

4.13.61.9

Aug 2015

3.73.62.0

Sep 2015

3.73.72.0

Oct 2015

3.93.72.0

Nov 2015

3.83.82.0

Dec 2015

3.93.92.1

Jan 2016

4.03.62.0

Feb 2016

3.93.82.1

Mar 2016

4.13.72.0

Apr 2016

3.93.72.1

May 2016

3.93.62.1

Jun 2016

3.83.72.1

Jul 2016

4.03.82.1

Aug 2016

3.83.72.1

Sep 2016

3.93.72.1

Oct 2016

3.73.62.1

Nov 2016

4.03.72.1

Dec 2016

3.93.72.1

Jan 2017

3.73.82.2

Feb 2017

3.93.72.1

Mar 2017

3.83.72.2

Apr 2017

4.03.62.1

May 2017

3.83.72.1

Jun 2017

4.13.92.2

Jul 2017

4.13.82.1

Aug 2017

4.13.82.1

Sep 2017

4.13.72.2

Oct 2017

4.23.82.2

Nov 2017

4.13.72.1

Dec 2017

4.13.72.2

Jan 2018

4.33.72.1

Feb 2018

4.33.82.2

Mar 2018

4.43.82.2

Apr 2018

4.43.82.3

May 2018

4.53.92.3

Jun 2018

4.73.92.3

Jul 2018

4.63.82.3

Aug 2018

4.63.92.3

Sep 2018

4.73.82.3

Oct 2018

4.73.92.3

Nov 2018

4.83.92.3

Dec 2018

4.73.82.3

Jan 2019

4.73.82.3

Feb 2019

4.53.82.4

Mar 2019

4.73.82.3

Apr 2019

4.64.02.3

May 2019

4.63.82.3

Jun 2019

4.53.82.3

Jul 2019

4.54.02.4

Aug 2019

4.53.92.4

Sep 2019

4.53.92.3

Oct 2019

4.63.82.3

Nov 2019

4.43.82.3

Dec 2019

4.23.92.3

Jan 2020

4.53.92.3

Feb 2020

4.43.92.2

Mar 2020

3.73.41.9

Apr 2020

3.43.01.6

May 2020

3.96.21.7

Jun 2020

4.25.61.9

Jul 2020

4.64.52.3

Aug 2020

4.44.62.1

Sep 2020

4.54.22.3

Oct 2020

4.64.22.4

Nov 2020

4.54.22.3

Dec 2020

4.53.82.4

Jan 2021

4.73.82.3

Feb 2021

5.04.02.4

Mar 2021

5.44.22.5

Apr 2021

6.04.22.8

May 2021

6.04.12.5
Percent change since February 2020 in real (inflation-adjusted) average hourly earnings
MonthTotal privateLeisure and hospitality

Feb 2020

0.0%0.0%

Mar 2020

1.10.3

Apr 2020

6.57.7

May 2020

5.44.3

Jun 2020

3.51.4

Jul 2020

3.10.2

Aug 2020

3.10.6

Sep 2020

2.90.6

Oct 2020

2.80.6

Nov 2020

3.00.3

Dec 2020

3.80.5

Jan 2021

3.50.6

Feb 2021

3.41.1

Mar 2021

2.71.8

Apr 2021

2.62.5

May 2021

2.42.9

Jun 2021

1.83.1
Job openings and hires rates, leisure and hospitality, December 2000 to May 2021
MonthJob openings rateHires rate

Dec 2000

4.5%7.4%

Jan 2001

5.27.7

Feb 2001

4.87.3

Mar 2001

5.57.8

Apr 2001

4.68.3

May 2001

4.27.6

Jun 2001

3.67.2

Jul 2001

4.67.7

Aug 2001

4.37.2

Sep 2001

4.37.3

Oct 2001

3.06.9

Nov 2001

3.66.8

Dec 2001

3.56.8

Jan 2002

2.96.5

Feb 2002

3.36.9

Mar 2002

3.36.5

Apr 2002

3.16.9

May 2002

3.26.7

Jun 2002

2.86.6

Jul 2002

3.16.7

Aug 2002

3.26.9

Sep 2002

2.86.7

Oct 2002

3.16.5

Nov 2002

3.26.6

Dec 2002

3.06.8

Jan 2003

3.17.0

Feb 2003

2.96.6

Mar 2003

2.86.4

Apr 2003

3.06.5

May 2003

3.47.0

Jun 2003

3.46.7

Jul 2003

2.76.4

Aug 2003

3.16.7

Sep 2003

3.16.8

Oct 2003

3.66.9

Nov 2003

3.46.8

Dec 2003

3.57.1

Jan 2004

3.56.8

Feb 2004

3.66.9

Mar 2004

3.47.3

Apr 2004

3.27.1

May 2004

3.37.2

Jun 2004

3.67.0

Jul 2004

4.07.0

Aug 2004

3.67.0

Sep 2004

4.07.2

Oct 2004

3.76.9

Nov 2004

3.37.0

Dec 2004

3.66.8

Jan 2005

4.17.2

Feb 2005

4.06.9

Mar 2005

4.27.2

Apr 2005

4.77.0

May 2005

4.06.8

Jun 2005

4.37.3

Jul 2005

4.07.2

Aug 2005

3.87.3

Sep 2005

3.67.2

Oct 2005

3.86.8

Nov 2005

3.97.2

Dec 2005

4.47.1

Jan 2006

4.77.2

Feb 2006

4.47.4

Mar 2006

4.17.2

Apr 2006

4.97.1

May 2006

4.07.1

Jun 2006

4.07.2

Jul 2006

4.37.3

Aug 2006

4.26.8

Sep 2006

4.26.6

Oct 2006

4.37.1

Nov 2006

4.47.5

Dec 2006

4.27.0

Jan 2007

3.76.9

Feb 2007

4.06.9

Mar 2007

4.56.8

Apr 2007

4.07.2

May 2007

4.27.0

Jun 2007

4.57.2

Jul 2007

4.56.8

Aug 2007

4.57.0

Sep 2007

4.86.7

Oct 2007

4.36.9

Nov 2007

4.56.7

Dec 2007

4.16.6

Jan 2008

4.16.3

Feb 2008

3.96.8

Mar 2008

4.16.2

Apr 2008

3.96.3

May 2008

3.96.7

Jun 2008

3.45.9

Jul 2008

3.26.0

Aug 2008

3.16.2

Sep 2008

3.05.9

Oct 2008

3.05.8

Nov 2008

2.65.3

Dec 2008

2.65.6

Jan 2009

1.85.4

Feb 2009

2.45.2

Mar 2009

2.04.8

Apr 2009

2.04.7

May 2009

2.25.2

Jun 2009

2.14.8

Jul 2009

1.94.7

Aug 2009

1.55.0

Sep 2009

2.14.8

Oct 2009

2.04.7

Nov 2009

2.15.3

Dec 2009

2.05.0

Jan 2010

2.15.1

Feb 2010

2.04.7

Mar 2010

1.85.2

Apr 2010

2.15.2

May 2010

2.34.9

Jun 2010

2.54.9

Jul 2010

2.45.1

Aug 2010

2.74.9

Sep 2010

2.45.1

Oct 2010

3.15.0

Nov 2010

2.45.0

Dec 2010

2.65.1

Jan 2011

2.74.9

Feb 2011

2.95.1

Mar 2011

2.95.8

Apr 2011

2.45.1

May 2011

2.34.9

Jun 2011

3.05.5

Jul 2011

2.65.4

Aug 2011

2.85.4

Sep 2011

3.15.6

Oct 2011

3.15.5

Nov 2011

3.15.9

Dec 2011

3.25.5

Jan 2012

3.25.7

Feb 2012

2.75.7

Mar 2012

3.26.3

Apr 2012

3.45.5

May 2012

3.25.4

Jun 2012

3.45.3

Jul 2012

3.45.5

Aug 2012

3.05.8

Sep 2012

3.05.2

Oct 2012

3.45.5

Nov 2012

3.55.2

Dec 2012

3.35.8

Jan 2013

3.25.7

Feb 2013

3.65.6

Mar 2013

3.55.7

Apr 2013

3.36.1

May 2013

3.25.7

Jun 2013

3.35.7

Jul 2013

3.45.5

Aug 2013

3.55.4

Sep 2013

3.75.8

Oct 2013

3.65.6

Nov 2013

3.65.5

Dec 2013

3.95.5

Jan 2014

4.05.8

Feb 2014

3.75.9

Mar 2014

3.85.7

Apr 2014

4.35.9

May 2014

4.66.1

Jun 2014

4.46.2

Jul 2014

4.16.0

Aug 2014

4.65.8

Sep 2014

4.66.2

Oct 2014

4.36.0

Nov 2014

4.16.1

Dec 2014

4.56.3

Jan 2015

5.16.1

Feb 2015

4.86.2

Mar 2015

4.66.1

Apr 2015

4.66.3

May 2015

4.46.4

Jun 2015

4.26.1

Jul 2015

4.86.3

Aug 2015

4.46.7

Sep 2015

4.46.7

Oct 2015

4.96.6

Nov 2015

4.76.7

Dec 2015

4.66.8

Jan 2016

4.76.2

Feb 2016

4.76.8

Mar 2016

5.16.6

Apr 2016

4.76.5

May 2016

4.66.6

Jun 2016

4.86.7

Jul 2016

4.66.6

Aug 2016

4.96.6

Sep 2016

4.56.1

Oct 2016

4.66.2

Nov 2016

4.66.7

Dec 2016

4.56.4

Jan 2017

4.46.5

Feb 2017

5.36.4

Mar 2017

4.56.3

Apr 2017

5.06.4

May 2017

5.06.3

Jun 2017

5.06.5

Jul 2017

5.16.3

Aug 2017

5.26.2

Sep 2017

4.56.1

Oct 2017

4.86.5

Nov 2017

5.26.3

Dec 2017

5.26.1

Jan 2018

5.46.3

Feb 2018

5.46.5

Mar 2018

5.46.4

Apr 2018

5.66.5

May 2018

5.66.9

Jun 2018

6.16.4

Jul 2018

5.96.8

Aug 2018

5.86.5

Sep 2018

6.16.4

Oct 2018

5.86.7

Nov 2018

5.86.5

Dec 2018

6.26.3

Jan 2019

6.46.8

Feb 2019

5.76.6

Mar 2019

5.86.7

Apr 2019

5.87.1

May 2019

5.86.6

Jun 2019

5.47.0

Jul 2019

5.56.9

Aug 2019

5.46.9

Sep 2019

5.76.9

Oct 2019

5.66.6

Nov 2019

5.56.5

Dec 2019

5.26.8

Jan 2020

5.26.6

Feb 2020

5.36.5

Mar 2020

3.94.2

Apr 2020

3.84.9

May 2020

6.819.5

Jun 2020

7.017.5

Jul 2020

6.310.6

Aug 2020

6.08.1

Sep 2020

5.98.2

Oct 2020

6.18.5

Nov 2020

5.98.1

Dec 2020

5.45.8

Jan 2021

5.37.1

Feb 2021

6.58.8

Mar 2021

8.08.5

Apr 2021

9.19.5

May 2021

9.09.3

Brood X Cicadas over the History of BLS Data

For readers around several Eastern and Midwest states, you likely know that “Brood X” is the name of the cohort of 17-year cicadas that have made their appearance known, and heard, starting in mid-May 2021. According to the U.S. Forest Service, scientists have been studying cicadas for a couple of centuries, and there are historical reports going back centuries. In fact, in The Iliad, Homer speaks of two elder sages who were “… too old to fight, but they were fluent orators, and sat on the tower like cicadas that chirrup delicately from the boughs of some high tree in a wood.”

A cicada

We can’t find any record of President Chester A. Arthur (who signed the law to create BLS) nor Carroll Wright (the first BLS Commissioner) speaking of cicadas, but is it a coincidence that Brood X appeared just one year after BLS was founded in 1884? Since BLS has lived through 9 appearances of Brood X, let’s take a look at what we reported during those years.

Year of BLS founding in 1884 and Brood X appearances in 1885, 1902, 1919, 1936, 1953, 1970, 1987, 2004, and 2021

Brood X of 1919 was the first to encounter the BLS Consumer Price Index, which provides information back to 1913. Using the CPI Inflation Calculator, you can look at how buying power has changed over time. As the chart below shows, Brood X from 1919 could spend $6.31 and have buying power equal to their great, great, great, great grandchildren spending $100 today. The 1936 cicadas were affected by the Great Depression, with increasing buying power because of deflation. The 1987 cicadas were affected by high inflation rates that occurred after their 1970 ancestors disappeared.

Purchasing power of $100 in January 2021 compared with January of other Brood X years

Editor’s note: Data for this chart are available in the table below.

While BLS has reported on the number of workers on employer payrolls since before the 1919 cicadas came out of the ground, consistent data for all states were not available until the late 1940s. That was in time for the 1953 cicadas, which witnessed about 43 million jobs on private nonfarm payrolls. The 1953 cicadas saw about 45 percent of private sector employment in good-producing industries — mining, construction, and manufacturing. Interestingly, cicadas from the groups that followed saw little change in the number of jobs on good-producing payrolls. The peak number in Brood X years was 23 million in 1987. Goods-producing employment in 2021 is just over 20 million. In contrast, payrolls of service-providing industries have soared over the same period, from nearly 24 million in 1953 to just over 100 million today. These service-providing industries include trade, transportation, financial activities, education and health services, restaurants and other hospitality businesses, and many more. The 2021 cicadas have seen that 83 percent of payroll employment is in service-providing industries.

Private-sector employment in goods-producing and service-providing industries, January of Brood X years

Editor’s note: Data for this chart are available in the table below.

BLS has been studying productivity since before Brood X of 1902 emerged. The first such study was of “Hand and Machine Labor” in 1898. Consistent measures of labor productivity in the nonfarm business sector date from 1947, in time for the 1953 cicadas. Over the more than 70-year history of these data, the percent change from the previous quarter, at an annual rate, has been negative about 20 percent of the time (based on the first quarter of each year). But perhaps the sound and fury of Brood X has some influence, as 2 out of 5 (40 percent) of the cicada-year changes have been negative. Yes, it’s a small sample, but let’s not discount the cicada effect.

Annualized percent change in nonfarm business sector labor productivity in the first quarter of Brood X years, compared with the previous quarter

Editor’s note: Data for this chart are available in the table below.

Finally, our flying friends have studied BLS data on pay and know about all our measures of worker pay. The longest consistent series on pay began in 1964, in time for the 1970 cicadas to track average hourly earnings for production and nonsupervisory employees. The 1987 cicadas saw pay nearly triple from that of their parents, and future generations saw continued increases as well.

Average hourly earnings of production and nonsupervisory employees in the private sector, January of Brood X years

Editor’s note: Data for this chart are available in the table below.

BLS is looking forward to providing the latest in labor statistics in 2038, when the children of the 2021 cicadas check out the latest on www.bls.gov. In the meantime, maybe they’ll follow us on Twitter.

Purchasing power of $100 in January 2021 compared with January of other Brood X years
YearPurchasing power

1919

$6.31

1936

5.28

1953

10.17

1970

14.45

1987

42.51

2004

70.80

2021

100.00
Private-sector employment in goods-producing and service-providing industries, January of Brood X years
YearGoods producingService providing

1953

19,721,00023,629,000

1970

22,726,00035,954,000

1987

23,232,00060,401,000

2004

21,715,00087,516,000

2021

20,221,000100,948,000
Annualized percent change in nonfarm business sector labor productivity in the first quarter of Brood X years, compared with the previous quarter
YearAnnualized percent change

1953

3.5%

1970

1.3

1987

-1.8

2004

-1.3

2021

5.4
Average hourly earnings of production and nonsupervisory employees in the private sector, January of Brood X years
YearAverage hourly earnings

1970

$3.31

1987

9.02

2004

15.51

2021

25.14