Graph and download economic data for Labor Force Participation Rate - Black or African American (LNS11300006) from Jan 1972 to Jul 2025 about African-American, participation, labor force, 16 years +, labor, household survey, rate, and USA.

Graph and download economic data for Labor Force Participation Rate - 20 Yrs. & over, Black or African American Men (LNU01300031) from Jan 1972 to Jul 2025 about 20 years +, African-American, males, participation, civilian, labor force, labor, household survey, rate, and USA.

Graph and download economic data for Labor Force Participation Rate - 20 Yrs. & over, Black or African American Women (LNU01300032) from Jan 1972 to Jul 2025 about 20 years +, African-American, females, participation, civilian, labor force, labor, household survey, rate, and USA.

United States - Labor Force Participation Rate - Black or African American was 62.10% in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - Black or African American reached a record high of 67.30 in July of 1998 and a record low of 57.60 in January of 1973. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - Black or African American - last updated from the United States Federal Reserve on September of 2025.

United States - Labor Force Participation Rate - 16-19 Yrs., Black or African American was 27.20% in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - 16-19 Yrs., Black or African American reached a record high of 60.30 in July of 1978 and a record low of 20.60 in September of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - 16-19 Yrs., Black or African American - last updated from the United States Federal Reserve on August of 2025.

This statistic shows the labor participation rate of women in the United States in 2004 and 2014, by race. In 2014, the labor participation rate of black women was **** percent, * percent higher than the rate for the total female population.

United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Men was 69.20% in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Men reached a record high of 79.90 in June of 1972 and a record low of 63.20 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Men - last updated from the United States Federal Reserve on July of 2025.

United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Women was 61.30% in April of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Women reached a record high of 66.90 in September of 1999 and a record low of 50.10 in August of 1972. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - 20 Yrs. & over, Black or African American Women - last updated from the United States Federal Reserve on September of 2025.

In 2024, six percent of the Black or African-American population in the United States were unemployed, the highest unemployment rate of any ethnicity. In 2024, the national unemployment rate stood at four percent.

In 2024, about 62.7 percent of the Asian community was employed. The highest employment rate was found among Mexican-Americans, at 64.1 percent, and the lowest employment rate was found among Puerto Ricans, at 55.2 percent. In total, around 60 percent of all working-age Americans were employed at this time.

United States - Labor Force Participation Rate - Black or African American was 61.90% in June of 2025, according to the United States Federal Reserve. Historically, United States - Labor Force Participation Rate - Black or African American reached a record high of 66.40 in September of 1999 and a record low of 58.50 in July of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Labor Force Participation Rate - Black or African American - last updated from the United States Federal Reserve on July of 2025.

In 2023, the unemployment rate of African Americans in the United States stood at 5.5 percent. This was over the national average of 3.6 percent.

The high rate of unemployment

There are many reasons why the unemployment rate among minorities is different than the national average. When it comes to African Americans, a large part of this is due to historical events, such as slavery and the struggle for civil rights, as well as the number of Black families living below the poverty level. Additionally, in 2019, for every 100,000 of the population, there were 2,203 Black men in prison. This high rate of imprisonment can contribute to the unemployment rate for African Americans, since having been in prison can reduce one’s chances of finding a job once released.

Earning differences

African Americans also make less money than other ethnicities in the United States. In 2020, the median weekly earnings of African Americans were 794 U.S. dollars, compared to Asians, who made 1,310 U.S. dollars per week, and whites, who made 1,003 U.S. dollars per week. While the African American unemployment rate may be low, it is clear that much has to change in order to achieve full equality.

While the labor force participation rate of the migrant and non-migrant population was more or less equal in regions such as North Africa, Sub-Saharan Africa, and Latin America and the Caribbean, it was less even in other regions. The largest difference between migrants and non-migrants was found in Arab States, where nearly ** percent of migrants participated in the labor force, meaning that they were either employed or registered as unemployed looking forward. Only ** percent of the local population in Arab States participated in the workforce.

Graph and download economic data for Unemployment Rate - Black or African American (LNU04000006) from Jan 1972 to Jul 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

This statistic shows the labor force participation rate of parents with children under six in the United States in 2014, by race and gender. In 2014, the labor force participation rate of black women with children under six was **** percent, about ** percent higher than the rate for the total female population.

The unemployment rate for people ages 16 to 24 in the United States in 202024 23 was 10 percent. However, this rate was much lower for people aged 45 and over, at 2.9 percent. U.S. unemployment The unemployment rate in the United States varies based on several factors, such as race, gender, and level of education. Black and African-American individuals had the highest unemployment rate in 2021 out of any ethnicity, and people who had less than a high school diploma had the highest unemployment rate by education level. Alaska is consistently the state with the highest unemployment rate, although the El Centro, California metropolitan area was the area with the highest unemployment rate in the country in 2019. Additionally, in August 2022, farming, fishing, and forestry occupations had the highest unemployment rate in the United States Unemployment rate The U.S. Bureau of Labor Statistics is the agency that researches and calculates the unemployment rate in the United States. Unemployment rises during recessions, which causes the cost of social welfare programs to increase. The Bureau of Labor Statistics says unemployed people are those who are jobless, have looked for employment within the last four weeks, and are free to work.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to Labor Force Guidance..Armed Forces data are not shown for the population 65 years and over..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The data this week comes from the National Database of Childcare Prices.

Data Dictionary

childcare_costs.csv

In the second quarter of 2024, the unemployment rate among Black South Africans was 36.9 percent, marking a year-on-year change of 0.8 percent compared to the second quarter of 2023. On the other hand, the unemployment rate among white South Africans was 7.9 percent in the second quarter of 2024, with a 0.5 percent year-on-year change. Unemployment prevalent among youth and women The unemployment rate is the share of the labor force population that is unemployed, while the labor force includes individuals who are employed as well as those who are unemployed but looking for work. South Africa is struggling to absorb its youth into the job market. For instance, the unemployment rate among young South Africans aged 15-24 years reached a staggering 60.7 percent in the second quarter of 2023. Furthermore, women had higher unemployment rates than men. Since the start of 2016, the unemployment rate of women has been consistently more than that of men, reaching close to 36 percent compared to 30 percent, respectively. A new minimum wage and most paying jobs      In South Africa, a new minimum hourly wage went into effect on March 1, 2022. The minimum salary reached 23.19 South African rand per hour (1.44 U.S. dollars per hour), up from 21.69 South African rand per hour (1.35 U.S. dollars per hour) in 2021. In addition, the preponderance of employed South Africans worked between 40 and 45 hours weekly in 2021. Individuals holding Executive Management and Change Management jobs were the highest paid in the country, with salaries averaging 74,000 U.S. dollars per year.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical Documentation.. section......Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the .Methodology.. section..Source: U.S. Census Bureau, 2018 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see .ACS Technical Documentation..). The effect of nonsampling error is not represented in these tables..Employment and unemployment estimates may vary from the official labor force data released by the Bureau of Labor Statistics because of differences in survey design and data collection. For guidance on differences in employment and unemployment estimates from different sources go to .Labor Force Guidance....Armed Forces data are not shown for the population 65 years and over..While the 2018 American Community Survey (ACS) data generally reflect the July 2015 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas, in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:..An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself..An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution..An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution..An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An "(X)" means that the estimate is not applicable or not available....