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Topic Archives: Employment

Celebrating Women’s History Month with BLS Data

The U.S. Congress passed Public Law 100-9 on March 12, 1987, designating March as Women’s History Month. Beginning in 1995, each President has issued annual proclamations designating March as Women’s History Month.

Public Law 100-9 states in part:

“Whereas American women have played and continue to play a critical economic, cultural, and social role in every sphere of our Nation’s life by constituting a significant portion of the labor force working in and outside of the home;”

We at BLS have a lot to say about the critical role women have played in the economic health of our nation, especially their role in the labor market.

Let’s begin with the theme of this year’s Women’s History Month, “Providing healing and promoting hope.” This theme is especially relevant today as women serve on the front lines of the world’s battle against the COVID-19 pandemic. But women have been providing healing and promoting hope since time immemorial. BLS doesn’t have data going back that far, but we have interesting data on women employed in the health care and social assistance industry that highlight the critical importance of women in maintaining the health of our nation.

Women made up 77.6 percent of health care and social assistance employment

In 2021, 16.4 million women were employed in the health care and social assistance industry. This was 77.6 percent of the total 21.2 million workers in the industry. Looking at the component industries that make up health care and social assistance, women accounted for 75.0 percent of total employment in hospitals, 77.4 percent of total employment in health services, except hospitals, and 84.0 percent of total employment in social assistance. Social assistance includes child day care services, vocational rehabilitation services, and services for the elderly and disabled, among other industries.

Women employed in health care and social assistance, 2011 to 2021

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

Women providing care to household members

The excerpt from Public Law 100-9 I shared earlier mentioned activity both inside and outside the home. Data from the American Time Use Survey can shed light on the many ways women provide healing and promote hope, even when it is not directly related to their paid employment.

From May to December 2020, 84.5 percent of women engaged in household activities on a given day. Women who engaged in household activities spent an average of 2.77 hours per day on them as their primary activity.

Almost 25 percent of women also cared for and helped household members on a given day. These women averaged 2.41 hours per day caring for a household member as their primary activity.

Among women who were mothers, the time they spent caring for and helping household members varied depending on the age of the children and the employment status of the parent. Women of all marital and employment statuses averaged 2.1 hours per day caring for household members if their youngest child was under age 18 and 3.25 hours a day if their youngest child was under age 6. The averages were higher if women were not employed: 2.95 hours per day for women with children under age 18 and 3.88 hours for women with children under age 6.

Average hours per day mothers with children in the household spent caring for and helping household members, May to December 2020

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

The COVID-19 pandemic may have had several effects. Mothers of children under age 13 who were employed spent 7.3 hours per day during the pandemic in 2020 providing secondary childcare. Secondary childcare is when parents had at least one child under age 13 in their care while doing activities other than primary childcare. This was up by 1.5 hours per day from 2019. Employed fathers spent about 1 hour more per day providing secondary childcare in 2020 than in 2019.

Mothers and fathers of children under 13 who were not employed spent more time providing secondary childcare than those who were employed. Mothers who were not employed spent 8.7 hours per day providing secondary childcare, and fathers who were not employed spent 8.3 hours in 2020. Both figures are essentially unchanged from 2019.

Average hours per day spent providing secondary childcare, mothers and fathers of children under age 13, May to December, 2019 and 2020

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

This March, we are happy once again to celebrate the women who have made an impact both in the workforce and at home. Now more than ever, the world has come to count on women as healers and caregivers. On behalf of everyone at BLS, I am grateful for all the women who continue this crucial work. Not just this month, but every month.

Women employed in health care and social assistance, 2011 to 2021
YearTotal employedWomen employedPercent of total employed that are women

2011

18,902,00014,836,00078.5%

2012

19,405,00015,209,00078.4

2013

19,562,00015,343,00078.4

2014

19,577,00015,379,00078.6

2015

20,077,00015,752,00078.5

2016

20,589,00016,212,00078.7

2017

20,720,00016,271,00078.5

2018

21,133,00016,558,00078.4

2019

21,701,00016,959,00078.1

2020

20,736,00016,141,00077.8

2021

21,204,00016,446,00077.6
Average hours per day mothers with children in the household spent caring for and helping household members, May to December 2020
Employment statusYoungest child under age 18Youngest child under age 6

Total

2.103.25

Not employed

2.953.88

Employed

1.642.81

Employed full time

1.472.65

Employed part time

2.123.18
Average hours per day spent providing secondary childcare, mothers and fathers of children under age 13, May to December, 2019 and 2020
YearEmployed fathersEmployed mothersNot employed fathersNot employed mothers

2019

4.295.788.298.76

2020

5.247.258.328.66

What’s Going on with the Large Revisions in Seasonally Adjusted Employment Estimates?

When BLS released The Employment Situation for January 2022 on February 4, we reported larger-than-normal revisions to the seasonally adjusted monthly nonfarm employment estimates from the Current Employment Statistics survey. Let’s take a closer look at the seasonal adjustment process and explain why the revisions were unusually large.

BLS seasonally adjusts data to account for recurring seasonal patterns in a time series. It allows our data users to analyze the underlying trends without the influence of seasonal movements. Seasonal movements might entail hiring extra retail trade workers around the December holidays. Seasonal movements also may entail workers leaving payrolls, such as school bus drivers when the schoolyear ends. These types of movements happen around the same time every year and affect about the same number of workers each year. Because the seasonal movements in nonfarm employment typically don’t change by much year to year, revisions to over-the-month changes from seasonal adjustment are typically small. However, data users may have a hard time seeing seasonal patterns when large events like strikes, hurricanes, or recessions occur. The unprecedented changes brought on by the COVID-19 pandemic make it even more difficult to determine the seasonal patterns.

Every year, during the employment benchmarking process, BLS staff takes a more comprehensive look back at the seasonal adjustment of time series to account for changes in seasonal patterns of nonfarm employment. Months in which large, irregular events occur are treated as outliers, which means that the abnormal change will not be treated as a new seasonal pattern. When we seasonally adjusted the data for 2020 after 2020 had ended, we treated several months individually as outliers. That works well for short-lived events, like strikes or a weather-related event. At that time, with very few observations after the start of the pandemic, that type of individual outlier detection was appropriate.

For example, the economy lost a massive number of jobs in March and April 2020 at the start of the pandemic. If we had not treated those months as outliers, or irregular events, the seasonal adjustment model would have expected massive employment losses as a new seasonal pattern for March and April 2021. That would not have been appropriate because those huge losses in March and April 2020 were not likely to recur. If the model had included the large March and April 2020 employment losses, when large job losses did not occur in March and April 2021, the model would have shown large job gains for those months on a seasonally adjusted basis. That would have distorted the underlying employment trend.

We now have more data observations after the start of the pandemic, and we benefit from the hindsight of our normal annual review of the data, which encompasses the last 5 years of data. We incorporated two additional outlier types that better isolated the initial losses in employment from the pandemic, while simultaneously accounting for new seasonal patterns that we have detected. One new type of outlier accounts for a temporary change in the level of the series. For example, drinking places that serve alcoholic beverages experienced a significant employment decline in April 2020 but have gained jobs since then, even if in fits and starts. In this case, we treated April 2020 as a temporary change outlier, which will adjust the months from April 2020 forward to account for both the large drop and subsequent recovery in employment this industry has experienced. This will better account for this temporary period of readjustment as employment levels recover towards what they were before the pandemic.

Employment in drinking places, alcoholic beverages, January 2020 to December 2021, seasonally adjusted

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

The other new type of outlier accounts for a permanent shift in the level of a series. An example of this is nursing care facilities, which continued to experience employment declines after April 2020. In this case, April 2020 was treated as a level shift outlier, which resulted in subsequent months being adjusted to better reflect the continued lower level of employment.

Employment in nursing care facilities, January 2020 to December 2021, seasonally adjusted

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

Incorporating these additional types of outliers stabilized the normal seasonal patterns and smoothed out the initial large swings in the seasonally adjusted data. These changes resulted in a more accurate payroll employment series and will allow users to better differentiate longer-term trends from seasonal movements.

These changes resulted in some large revisions to our monthly seasonally adjusted data for 2021, although the revisions partly offset each other. For example, total nonfarm employment in November and December 2021 combined is 709,000 higher than previously reported, while employment in June and July 2021 combined is 807,000 lower. The change for all of 2021 is just 217,000 higher than previously reported. Although these revisions are larger than usual, trends in the data emerge more clearly.

Want to really dig into the details of seasonal adjustment for the nonfarm employment data? See our specification files and technical documentation.

Employment in drinking places, alcoholic beverages, January 2020 to December 2021, seasonally adjusted
MonthPreviously publishedRevised

Jan 2020

417,200419,800

Feb 2020

423,700426,400

Mar 2020

381,800383,600

Apr 2020

85,60084,800

May 2020

145,400140,600

Jun 2020

233,800225,300

Jul 2020

238,700226,200

Aug 2020

250,800243,800

Sep 2020

266,200260,000

Oct 2020

289,700278,500

Nov 2020

280,900281,300

Dec 2020

243,000239,700

Jan 2021

248,300248,700

Feb 2021

282,200280,700

Mar 2021

303,900298,300

Apr 2021

311,700309,900

May 2021

318,300322,900

Jun 2021

322,000331,200

Jul 2021

329,700336,800

Aug 2021

329,500342,900

Sep 2021

343,900350,600

Oct 2021

345,500354,200

Nov 2021

347,900365,000

Dec 2021

344,500363,800
Employment in nursing care facilities, January 2020 to December 2021, seasonally adjusted
MonthPreviously publishedRevised

Jan 2020

1,586,5001,585,100

Feb 2020

1,585,7001,584,800

Mar 2020

1,581,6001,581,200

Apr 2020

1,534,3001,537,200

May 2020

1,502,6001,508,000

Jun 2020

1,487,3001,490,000

Jul 2020

1,469,7001,470,600

Aug 2020

1,459,2001,463,300

Sep 2020

1,456,6001,454,500

Oct 2020

1,451,5001,447,800

Nov 2020

1,439,0001,437,200

Dec 2020

1,433,4001,430,900

Jan 2021

1,415,0001,416,700

Feb 2021

1,404,2001,406,300

Mar 2021

1,400,5001,403,600

Apr 2021

1,382,2001,388,700

May 2021

1,375,0001,383,700

Jun 2021

1,371,1001,376,300

Jul 2021

1,371,0001,373,700

Aug 2021

1,365,3001,367,700

Sep 2021

1,349,8001,346,700

Oct 2021

1,359,1001,349,200

Nov 2021

1,350,9001,346,000

Dec 2021

1,345,7001,345,100

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.

BLS Now Publishing Monthly Data for American Indians and Alaska Natives

I am pleased to announce that BLS is now publishing monthly labor force estimates for American Indians and Alaska Natives! For years we’ve published a small set of annual labor market estimates for American Indians and Alaska Natives in our yearly report on labor force characteristics by race and ethnicity. And we’ve also combined multiple years of data to do more in-depth analyses. But we haven’t published our key economic metrics—such as the unemployment rate, the employment–population ratio, and the labor force participation rate—on a monthly basis for American Indians and Alaska Natives. Monthly estimates give us timely measures to see how groups are faring in the labor market.

The jobless rate for American Indians and Alaska Natives peaked at 28.6 percent in April 2020 (not seasonally adjusted), early in the COVID-19 pandemic. This was nearly double the seasonally adjusted rate of 14.7 percent for the total population. The higher rate for American Indians and Alaska Natives reflects, in part, the extremely sharp increase at the start of the pandemic in the unemployment rate for service occupations. American Indians and Alaska Natives are considerably more likely to work in service occupations compared with the overall labor force. By contrast, the unemployment rate rose less sharply at the start of the pandemic for management, professional, and related occupations and other occupation groups in which American Indians and Alaska Natives are less represented. The unemployment rate for American Indians and Alaska Natives has declined since April 2020 and was 11.1 percent in January 2022, still much higher than the rate of 4.0 percent for the overall population.

Unemployment rates for American Indians and Alaska Natives and for the total population, January 2003 to January 2022

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

In general, American Indians and Alaska Natives are less likely than the overall population to be employed. In April 2020, the employment–population ratio for American Indians and Alaska Natives declined to 42.4 percent, 8.9 percentage points below the ratio of 51.3 percent for the overall population. Since then, the ratio for American Indians and Alaska Natives has risen and stood at 52.7 percent in January 2022, 7.0 percentage points below the ratio of 59.7 percent for the population overall.

Employment–population ratios for American Indians and Alaska Natives and for the total population, January 2003 to January 2022

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

The measures for American Indians and Alaska Natives tend to be fairly volatile for two main reasons. First, the estimates are based on a small sample size. We survey about 60,000 U.S. households every month, and respondents who identify as American Indians and Alaska Natives make up about 1 percent of the labor force. Because of that small sample size, the month-to-month change in the unemployment rate must be pretty large to be statistically significant—around 3 percentage points.

Second, these data are not seasonally adjusted. Seasonal adjustment is a statistical procedure used to remove the effects of seasonality from data so it’s easier to see underlying trends. But not all data series can be seasonally adjusted; they must pass a battery of diagnostic tests to be fitted to a seasonal adjustment model. So far, we haven’t been able to do that for data for American Indians and Alaska Natives, but we’ll keep evaluating them as we get more data. Because these data aren’t seasonally adjusted, it can be challenging to compare one month to the following month.

We’re also publishing quarterly estimates for American Indians and Alaska Natives for the first time starting this month. Because these estimates are averages of three months of data, they are somewhat less volatile.

Unemployment rates for American Indians and Alaska Natives and for the total population, January 2003 to January 2022
MonthTotalAmerican Indians and Alaska Natives

Jan 2003

5.8%10.0%

Feb 2003

5.914.2

Mar 2003

5.913.1

Apr 2003

6.010.8

May 2003

6.111.8

Jun 2003

6.39.7

Jul 2003

6.28.8

Aug 2003

6.17.9

Sep 2003

6.18.4

Oct 2003

6.09.5

Nov 2003

5.812.7

Dec 2003

5.78.2

Jan 2004

5.710.9

Feb 2004

5.612.2

Mar 2004

5.811.7

Apr 2004

5.69.6

May 2004

5.610.4

Jun 2004

5.68.2

Jul 2004

5.58.2

Aug 2004

5.49.3

Sep 2004

5.47.8

Oct 2004

5.58.0

Nov 2004

5.49.2

Dec 2004

5.410.2

Jan 2005

5.313.5

Feb 2005

5.411.3

Mar 2005

5.211.1

Apr 2005

5.210.6

May 2005

5.110.0

Jun 2005

5.08.3

Jul 2005

5.08.8

Aug 2005

4.99.0

Sep 2005

5.07.0

Oct 2005

5.07.6

Nov 2005

5.06.8

Dec 2005

4.98.0

Jan 2006

4.79.2

Feb 2006

4.89.1

Mar 2006

4.77.0

Apr 2006

4.77.5

May 2006

4.67.6

Jun 2006

4.68.3

Jul 2006

4.78.9

Aug 2006

4.77.7

Sep 2006

4.57.2

Oct 2006

4.47.0

Nov 2006

4.59.0

Dec 2006

4.46.5

Jan 2007

4.69.9

Feb 2007

4.510.9

Mar 2007

4.49.4

Apr 2007

4.55.8

May 2007

4.46.2

Jun 2007

4.67.2

Jul 2007

4.79.9

Aug 2007

4.69.9

Sep 2007

4.76.9

Oct 2007

4.77.7

Nov 2007

4.76.4

Dec 2007

5.07.8

Jan 2008

5.07.4

Feb 2008

4.910.6

Mar 2008

5.19.2

Apr 2008

5.010.4

May 2008

5.48.6

Jun 2008

5.611.3

Jul 2008

5.813.3

Aug 2008

6.112.3

Sep 2008

6.19.7

Oct 2008

6.58.0

Nov 2008

6.87.9

Dec 2008

7.310.3

Jan 2009

7.812.3

Feb 2009

8.313.1

Mar 2009

8.79.8

Apr 2009

9.08.7

May 2009

9.413.0

Jun 2009

9.513.7

Jul 2009

9.518.3

Aug 2009

9.615.1

Sep 2009

9.815.0

Oct 2009

10.013.9

Nov 2009

9.913.1

Dec 2009

9.914.9

Jan 2010

9.816.4

Feb 2010

9.814.4

Mar 2010

9.917.9

Apr 2010

9.912.7

May 2010

9.613.2

Jun 2010

9.414.3

Jul 2010

9.416.4

Aug 2010

9.517.8

Sep 2010

9.514.4

Oct 2010

9.415.4

Nov 2010

9.813.9

Dec 2010

9.314.8

Jan 2011

9.118.4

Feb 2011

9.014.8

Mar 2011

9.012.1

Apr 2011

9.110.2

May 2011

9.012.6

Jun 2011

9.115.3

Jul 2011

9.014.7

Aug 2011

9.014.4

Sep 2011

9.016.1

Oct 2011

8.815.4

Nov 2011

8.617.2

Dec 2011

8.513.7

Jan 2012

8.311.7

Feb 2012

8.314.2

Mar 2012

8.214.1

Apr 2012

8.212.8

May 2012

8.29.4

Jun 2012

8.212.2

Jul 2012

8.211.8

Aug 2012

8.111.9

Sep 2012

7.811.4

Oct 2012

7.811.8

Nov 2012

7.712.5

Dec 2012

7.913.4

Jan 2013

8.013.0

Feb 2013

7.710.5

Mar 2013

7.512.7

Apr 2013

7.610.9

May 2013

7.59.9

Jun 2013

7.512.8

Jul 2013

7.314.3

Aug 2013

7.213.8

Sep 2013

7.213.1

Oct 2013

7.213.9

Nov 2013

6.914.5

Dec 2013

6.713.5

Jan 2014

6.612.4

Feb 2014

6.712.6

Mar 2014

6.713.0

Apr 2014

6.211.0

May 2014

6.311.1

Jun 2014

6.110.8

Jul 2014

6.212.7

Aug 2014

6.111.0

Sep 2014

5.99.4

Oct 2014

5.712.3

Nov 2014

5.810.7

Dec 2014

5.69.1

Jan 2015

5.711.8

Feb 2015

5.511.2

Mar 2015

5.410.7

Apr 2015

5.49.5

May 2015

5.68.4

Jun 2015

5.310.8

Jul 2015

5.211.6

Aug 2015

5.19.4

Sep 2015

5.07.9

Oct 2015

5.08.5

Nov 2015

5.110.3

Dec 2015

5.08.8

Jan 2016

4.89.9

Feb 2016

4.99.3

Mar 2016

5.09.9

Apr 2016

5.18.0

May 2016

4.89.2

Jun 2016

4.99.5

Jul 2016

4.88.2

Aug 2016

4.99.7

Sep 2016

5.09.9

Oct 2016

4.96.6

Nov 2016

4.78.6

Dec 2016

4.78.2

Jan 2017

4.78.6

Feb 2017

4.67.4

Mar 2017

4.49.8

Apr 2017

4.48.3

May 2017

4.48.8

Jun 2017

4.39.1

Jul 2017

4.37.6

Aug 2017

4.47.4

Sep 2017

4.36.5

Oct 2017

4.26.8

Nov 2017

4.26.2

Dec 2017

4.17.8

Jan 2018

4.09.7

Feb 2018

4.17.9

Mar 2018

4.08.8

Apr 2018

4.07.5

May 2018

3.87.0

Jun 2018

4.06.5

Jul 2018

3.85.1

Aug 2018

3.84.3

Sep 2018

3.75.4

Oct 2018

3.86.1

Nov 2018

3.85.2

Dec 2018

3.96.3

Jan 2019

4.06.9

Feb 2019

3.86.4

Mar 2019

3.86.1

Apr 2019

3.66.1

May 2019

3.65.5

Jun 2019

3.66.7

Jul 2019

3.76.4

Aug 2019

3.74.9

Sep 2019

3.55.3

Oct 2019

3.66.0

Nov 2019

3.66.8

Dec 2019

3.65.7

Jan 2020

3.57.3

Feb 2020

3.57.5

Mar 2020

4.47.4

Apr 2020

14.728.6

May 2020

13.218.0

Jun 2020

11.013.1

Jul 2020

10.213.0

Aug 2020

8.410.3

Sep 2020

7.96.7

Oct 2020

6.910.8

Nov 2020

6.78.6

Dec 2020

6.710.0

Jan 2021

6.410.1

Feb 2021

6.212.1

Mar 2021

6.07.9

Apr 2021

6.09.2

May 2021

5.89.5

Jun 2021

5.97.7

Jul 2021

5.47.2

Aug 2021

5.28.5

Sep 2021

4.75.9

Oct 2021

4.65.7

Nov 2021

4.26.7

Dec 2021

3.97.9

Jan 2022

4.011.1

Note: Monthly data for American Indians and Alaska Natives are not seasonally adjusted. The total unemployment rate is seasonally adjusted.

Employment–population ratios for American Indians and Alaska Natives and for the total population, January 2003 to January 2022
MonthTotalAmerican Indians and Alaska Natives

Jan 2003

62.5%57.9%

Feb 2003

62.556.4

Mar 2003

62.457.8

Apr 2003

62.458.1

May 2003

62.358.9

Jun 2003

62.360.9

Jul 2003

62.159.9

Aug 2003

62.158.1

Sep 2003

62.055.1

Oct 2003

62.155.4

Nov 2003

62.354.7

Dec 2003

62.258.7

Jan 2004

62.356.0

Feb 2004

62.356.9

Mar 2004

62.257.0

Apr 2004

62.357.9

May 2004

62.359.2

Jun 2004

62.461.5

Jul 2004

62.562.4

Aug 2004

62.459.6

Sep 2004

62.355.2

Oct 2004

62.355.5

Nov 2004

62.554.9

Dec 2004

62.455.8

Jan 2005

62.453.6

Feb 2005

62.454.1

Mar 2005

62.456.3

Apr 2005

62.759.2

May 2005

62.856.7

Jun 2005

62.760.1

Jul 2005

62.860.1

Aug 2005

62.957.5

Sep 2005

62.859.4

Oct 2005

62.858.6

Nov 2005

62.757.7

Dec 2005

62.857.4

Jan 2006

62.955.6

Feb 2006

63.057.7

Mar 2006

63.157.1

Apr 2006

63.056.1

May 2006

63.158.5

Jun 2006

63.158.7

Jul 2006

63.058.7

Aug 2006

63.159.6

Sep 2006

63.158.8

Oct 2006

63.360.7

Nov 2006

63.357.3

Dec 2006

63.458.4

Jan 2007

63.354.5

Feb 2007

63.356.9

Mar 2007

63.359.7

Apr 2007

63.061.6

May 2007

63.060.2

Jun 2007

63.058.2

Jul 2007

62.956.9

Aug 2007

62.758.0

Sep 2007

62.959.1

Oct 2007

62.757.7

Nov 2007

62.957.6

Dec 2007

62.756.7

Jan 2008

62.956.9

Feb 2008

62.857.7

Mar 2008

62.759.3

Apr 2008

62.758.1

May 2008

62.556.8

Jun 2008

62.457.8

Jul 2008

62.254.3

Aug 2008

62.053.1

Sep 2008

61.957.5

Oct 2008

61.759.3

Nov 2008

61.459.2

Dec 2008

61.058.8

Jan 2009

60.656.5

Feb 2009

60.352.9

Mar 2009

59.954.4

Apr 2009

59.853.5

May 2009

59.650.6

Jun 2009

59.450.1

Jul 2009

59.347.5

Aug 2009

59.149.5

Sep 2009

58.749.6

Oct 2009

58.550.6

Nov 2009

58.649.1

Dec 2009

58.349.0

Jan 2010

58.548.3

Feb 2010

58.550.3

Mar 2010

58.550.6

Apr 2010

58.751.4

May 2010

58.650.2

Jun 2010

58.548.6

Jul 2010

58.546.3

Aug 2010

58.647.1

Sep 2010

58.548.2

Oct 2010

58.348.4

Nov 2010

58.248.8

Dec 2010

58.349.1

Jan 2011

58.350.6

Feb 2011

58.450.4

Mar 2011

58.453.6

Apr 2011

58.453.9

May 2011

58.351.2

Jun 2011

58.249.2

Jul 2011

58.249.9

Aug 2011

58.350.7

Sep 2011

58.449.6

Oct 2011

58.449.0

Nov 2011

58.648.5

Dec 2011

58.650.0

Jan 2012

58.450.8

Feb 2012

58.550.4

Mar 2012

58.551.2

Apr 2012

58.451.1

May 2012

58.553.4

Jun 2012

58.652.7

Jul 2012

58.553.3

Aug 2012

58.451.6

Sep 2012

58.753.4

Oct 2012

58.853.5

Nov 2012

58.752.0

Dec 2012

58.751.3

Jan 2013

58.648.4

Feb 2013

58.652.4

Mar 2013

58.552.1

Apr 2013

58.653.2

May 2013

58.654.0

Jun 2013

58.652.4

Jul 2013

58.751.3

Aug 2013

58.750.4

Sep 2013

58.752.4

Oct 2013

58.351.9

Nov 2013

58.651.3

Dec 2013

58.750.2

Jan 2014

58.849.9

Feb 2014

58.751.3

Mar 2014

58.952.4

Apr 2014

58.951.5

May 2014

58.954.3

Jun 2014

59.054.1

Jul 2014

59.054.2

Aug 2014

59.055.2

Sep 2014

59.154.9

Oct 2014

59.356.0

Nov 2014

59.255.1

Dec 2014

59.357.3

Jan 2015

59.356.0

Feb 2015

59.254.1

Mar 2015

59.255.0

Apr 2015

59.352.2

May 2015

59.453.4

Jun 2015

59.452.7

Jul 2015

59.354.1

Aug 2015

59.456.0

Sep 2015

59.257.6

Oct 2015

59.356.3

Nov 2015

59.453.3

Dec 2015

59.654.4

Jan 2016

59.753.6

Feb 2016

59.855.2

Mar 2016

59.855.1

Apr 2016

59.753.9

May 2016

59.754.0

Jun 2016

59.753.9

Jul 2016

59.854.7

Aug 2016

59.855.2

Sep 2016

59.758.4

Oct 2016

59.759.0

Nov 2016

59.758.0

Dec 2016

59.757.2

Jan 2017

59.954.9

Feb 2017

60.057.6

Mar 2017

60.254.7

Apr 2017

60.253.7

May 2017

60.153.7

Jun 2017

60.155.2

Jul 2017

60.257.1

Aug 2017

60.155.9

Sep 2017

60.457.3

Oct 2017

60.157.0

Nov 2017

60.154.9

Dec 2017

60.154.4

Jan 2018

60.251.9

Feb 2018

60.453.3

Mar 2018

60.454.6

Apr 2018

60.455.0

May 2018

60.556.4

Jun 2018

60.457.7

Jul 2018

60.558.5

Aug 2018

60.358.1

Sep 2018

60.456.1

Oct 2018

60.555.6

Nov 2018

60.555.4

Dec 2018

60.655.0

Jan 2019

60.654.2

Feb 2019

60.856.6

Mar 2019

60.757.7

Apr 2019

60.657.1

May 2019

60.656.9

Jun 2019

60.757.6

Jul 2019

60.858.0

Aug 2019

60.858.8

Sep 2019

60.957.0

Oct 2019

60.956.3

Nov 2019

61.058.3

Dec 2019

61.056.8

Jan 2020

61.155.9

Feb 2020

61.254.2

Mar 2020

59.954.3

Apr 2020

51.342.4

May 2020

52.848.4

Jun 2020

54.752.9

Jul 2020

55.252.5

Aug 2020

56.553.7

Sep 2020

56.655.8

Oct 2020

57.452.8

Nov 2020

57.453.3

Dec 2020

57.452.3

Jan 2021

57.551.3

Feb 2021

57.653.6

Mar 2021

57.855.2

Apr 2021

57.954.1

May 2021

58.056.5

Jun 2021

58.057.8

Jul 2021

58.458.0

Aug 2021

58.554.3

Sep 2021

58.856.7

Oct 2021

58.956.8

Nov 2021

59.356.6

Dec 2021

59.555.6

Jan 2022

59.752.7

Note: Monthly data for American Indians and Alaska Natives are not seasonally adjusted. The total employment–population ratio is seasonally adjusted.

What Have You Been Looking for on the BLS Website?

In 2021, the BLS public website welcomed nearly 29 million users, who viewed just over 158 million pages. Wow, that’s a lot of data! It shows the extensive and growing interest in information about our economy. Let’s take a quick look back over the past year. What are the topics of interest? We see clear trends and a few surprises.

From its humble beginnings more than a quarter century ago, www.bls.gov has become the primary way we make the latest BLS data and analysis available to the public.

BLS website homepage, September 1995
First edition of the BLS website, 1995

Today, thousands of users get their first glimpse of the latest economic data through the website or through email alerts and tweets that link to the website. National economic news on employment, inflation, productivity, and other topics is first available on the website, with about 150 national releases each year. Not to be outdone, BLS regional office staff around the country last year posted nearly 1,000 regional and local news releases on the website.

And you came to check out those data—all 29 million of you.

Here’s a look at the five subject homepages that saw the greatest increase in page views from 2020 to 2021. You’ll note that all are timely topics.

  • The Business Response Survey to the Coronavirus Pandemic was a special data collection effort. Information from this survey was first available late in 2020, so the 166-percent increase in page views in 2021 is not surprising, especially given the great interest in all COVID-19 information. Results from a second round of this survey, with updated questions, will be available February 9, 2022.
  • Information from the Consumer Price Index also had more than a 100-percent increase in page views from 2020 to 2021, 106 percent increase to be exact. This is not a surprise, given the significant rise in prices recently.
  • Interest in inflation throughout the supply chain also led to a 60-percent increase in page views for Producer Price Indexes data.
  • BLS has been collecting data on Work Stoppages (strikes and lockouts) for many years, but interest in these data grew in 2021, perhaps because of several high-profile stoppages. There was a 25-percent increase in page views for these data.
  • Rounding out the top five was an 18-percent increase in page views for Job Openings and Labor Turnover Survey data. With record numbers of job openings and heightened interest in churn in the labor force, these data have garnered much attention recently. We also began publishing a news release on state data in 2021 to meet the growing need for geographic information on job openings and labor turnover.

Turning to analytical data, some of the most viewed pages were those focusing on fast growing industries, inflation at both the consumer and producer level, and the impact of COVID-19 on many aspects of the economy, such as unemployment and food prices. But viewers were also attracted to some unique topics:

  • The most read Commissioner’s Corner blog was about the 17-year cycle of cicadas, with a look at economic trends during past cicada invasions.
A cicada
A group of friends and family watching a football game on TV

We welcome our 29 million website visitors and encourage you to check back regularly. Your interests drive our commitment to provide timely research on relevant topics. There’s new content every business day, so you never know what new research may be right around the corner in 2022. It will all be at www.bls.gov. See you there!

BLS website homepage in 2022
BLS website homepage in 2022