This interactive chart compares the historical black unemployment rate to those of whites and the hispanic/latino population. Note: Statistics for Asian unemployment are not included here as the Bureau of Labor Statistics did not start including this measure until 2000 and does not provide a seasonally adjusted series as yet.

In 2023, about 23.51 percent of unemployed Black or African American individuals had been jobless for at least 27 weeks. This was slightly higher amongst Asian individuals, at 23.55 percent. See the monthly unemployment rate in the U.S. here.

In 2022, the highest and lowest rates of economic inactivity were in the combined Pakistani and Bangladeshi (33%) and white 'other’ (15%) ethnic groups.

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.

US Census Bureau American Community Survey 2013-2017 Estimates in the Keys the Valley Region for Race/Ethnicity, Educational Attainment, Unemployment, Health Insurance, Disability and Vehicle Access.

The American Community Survey (ACS) is a nationwide survey designed to provide communities with reliable and timely social, economic, housing, and demographic data every year. Because the ACS is based on a sample, rather than all housing units and people, ACS estimates have a degree of uncertainty associated with them, called sampling error. In general, the larger the sample, the smaller the level of sampling error. Data associated with a small town will have a greater degree of error than data associated with an entire county. To help users understand the impact of sampling error on data reliability, the Census Bureau provides a “margin of error” for each published ACS estimate. The margin of error, combined with the ACS estimate, give users a range of values within which the actual “real-world” value is likely to fall.

Single-year and multiyear estimates from the ACS are all “period” estimates derived from a sample collected over a period of time, as opposed to “point-in-time” estimates such as those from past decennial censuses. For example, the 2000 Census “long form” sampled the resident U.S. population as of April 1, 2000. The estimates here were derived from a sample collected over time from 2013-2017.

Race/Ethnicity

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WPop: Total population of those who identify as white alone (B01001A).

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PWPop: Percentage of total population that identifies as white alone (B01001A).

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BPop: Total population of those who identify as black or African American alone (B01001B).

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PWPop: Percentage of total population that identifies as black or African American alone (B01001B).

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AmIPop: Total population of those who identify as American Indian and Alaska Native alone (B01001C).

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PAmIPop: Percentage of total population that identifies as American Indian and Alaska Native alone (B01001C).

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APop: Total population of those who identify as Asian alone (B01001D).

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PAPop: Percentage of total population that identifies as Asian alone (B01001D).

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PacIPop: Total population of those who identify as Native Hawaiian and Other Pacific Islander alone (B01001E).

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PPacIPop: Percentage of total population that identifies as Native Hawaiian and Other Pacific Islander alone (B01001E).

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OPop: Total population of those who identify as Some Other Race alone (B01001F).

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POPop: Percentage of total population that identifies as Some Other Race alone (B01001F).

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MPop: Total population of those who identify as Two or More Races (B01001G).

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PMPop: Percentage of total population that identifies as Two or More Races (B01001G).

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WnHPop: Total population of those who identify as White alone, not Hispanic or Latino (B01001H).

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PWnHPop: Percentage of total population that identifies as White alone, not Hispanic or Latino (B01001H).

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LPop: Total population of those who identify as Hispanic or Latino (B01001I).

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PLPop: Percentage of total population that identifies as Hispanic or Latino (B01001I).

Educational Attainment

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EdLHS1824: Total population between the ages of 18 and 24 that has not received a High School degree (S1501).

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PEdLHS1824: Percentage of population between the ages of 18 and 24 that has not received a High School degree (S1501).

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EdLHS1824: Total population between the ages of 18 and 24 that has received a High School degree or equivalent (S1501).

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PEdLHS1824: Percentage of population between the ages of 18 and 24 that has received a High School degree or equivalent (S1501).

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EdSC1824: Total population between the ages of 18 and 24 that has received some amount of college education or an associate’s degree (S1501).

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PEdSC1824: Percentage of population between the ages of 18 and 24 that has received some amount of college education or an associate’s degree (S1501).

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EdB1824: Total population between the ages of 18 and 24 that has received bachelor’s degree or higher (S1501).

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PEdB1824: Percentage of the population between the ages of 18 and 24 that has received bachelor’s degree or higher (S1501).

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EdL9: Total population ages 25 and over that has received less than a ninth grade education (S1501).

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PEdL9: Percentage of population ages 25 and over that has received less than a ninth grade education (S1501).

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Ed912nD: Total population ages 25 and over that has received some degree of education between grades 9 and 12 but has not received a high school degree (S1501).

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PEd912nD: Percentage of population ages 25 and over that has received some degree of education between grades 9 and 12 but has not received a high school degree (S1501).

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EdHS: Total population ages 25 and over that has received a high school degree or equivalent (S1501).

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PEdHS: Percentage of population ages 25 and over that has received a high school degree or equivalent (S1501).

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EdSC: Total population ages 25 and over with some college education but no degree (S1501).

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PEdSC: Percentage of population ages 25 and over with some college education but no degree (S1501).

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EdAssoc: Total population ages 25 and over with an associate’s degree (S1501).

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PEdAssoc: Percentage of population population ages 25 and over with an associate’s degree (S1501).

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EdB: Total population ages 25 and over with bachelor’s degree (S1501).

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PEdB: Percentage of population ages 25 and over with bachelor’s degree (S1501).

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EdG: Total population ages 25 and over with a graduate or professional degree (S1501).

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PEdG: Percentage of population ages 25 and over with a graduate or professional degree (S1501).

Unemployment, Health Insurance, Disability

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UnempR: Unemployment rate among the population ages 16 and over (S2301).

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UnIn: Total non-institutionalized population without health insurance (B27001).

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PUnIn: Percentage of non-institutionalized populations without health insurance (B27001).

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Disab: Total non-institutionalized population with a disability (S1810).

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PDisab: Percentage of non-institutionalized populations with a disability (B27001).

Vehicle Access

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OwnNV: Total number of owner-occupied households without a vehicle (B25044).

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POwnNV: Percentage of owner-occupied households without a vehicle (B25044).

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OwnnV: Total number of owner-occupied households with n numbers of vehicles (B25044).

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POwnnV: Percentage of owner-occupied households with n numbers of vehicles (B25044).

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RentNV: Total number of renter-occupied households without a vehicle (B25044).

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PRentNV: Percentage of renter-occupied households without a vehicle (B25044).

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RentnV: Total number of renter-occupied households with n numbers of vehicles (B25044).

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POwnnV: Percentage of renter-occupied households with n numbers of vehicles (B25044).

As of the first quarter of 2025, the unemployment rate for people of white ethnicity in the United Kingdom was 3.7 percent, the lowest of the provided ethnic groups in this quarter. By contrast, the unemployment rate for people in the Pakistani ethnic group was 13.1 percent.

Labour force characteristic estimates by visible minority group, region, age group, and gender.

The statistic shows the share of U.S. population, by race and Hispanic origin, in 2016 and a projection for 2060. As of 2016, about 17.79 percent of the U.S. population was of Hispanic origin. Race and ethnicity in the U.S. For decades, America was a melting pot of the racial and ethnical diversity of its population. The number of people of different ethnic groups in the United States has been growing steadily over the last decade, as has the population in total. For example, 35.81 million Black or African Americans were counted in the U.S. in 2000, while 43.5 million Black or African Americans were counted in 2017.

The median annual family income in the United States in 2017 earned by Black families was about 50,870 U.S. dollars, while the average family income earned by the Asian population was about 92,784 U.S. dollars. This is more than 15,000 U.S. dollars higher than the U.S. average family income, which was 75,938 U.S. dollars.

The unemployment rate varies by ethnicity as well. In 2018, about 6.5 percent of the Black or African American population in the United States were unemployed. In contrast to that, only three percent of the population with Asian origin was unemployed.

Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

This collection consists of data that tracked how ten city governments in the United States responded to morality issues in the last decade of the 20th century. The ten cities varied in their geographic properties and were characterized by their locations, e.g., South City, Metro City, and Coast City. Morality issues were defined as issues concerning actions or behaviors that were regulated by a deeply held belief and/or a religious value. The issues falling within this categorization were gay rights, abortion rights, abortion clinic protests, needle exchange programs for drug users, hate speech, hate groups, gambling policies and regulations, animal rights, and regulations pertaining to the sex industry, which included pornography, prostitution, and adult entertainment. Incidents or events in the ten cities related to these moral issues were identified. The data were generated by scanning local newspapers to isolate and gather relevant information about the selected cities, interviewing political elites (e.g., mayor, city manager, and council person), and reviewing public government records for the selected cities. Part 1, Ten City Data, contains data on 451 incidents related to morality issues in the ten cities. Part 2, Subset of Ten City Data With City-Specific Variables, is a subset of the cases included in Part 1 and also includes a broader array of city-specific contextual variables. The variables shared by Part 1 and Part 2 are whether a city had a mayor or a city manager, whether city council elections were at-large or by district, the percentage or share of the city council elected by a particular district, the strength and prevalence of the city's homosexual community, the percentage of residents in the county who attended religious services, the percentage of residents in the county who identified themselves as Catholic or as religious fundamentalists, and whether activists involved with this issue were more likely to be from the left or right, politically. Additional shared variables are city population in 1990 and 1998 (in thousands), the percentage of population change between 1980-1990 and 1990-1998, the metro area population in 1990 (in thousands), the percentage of population change in the metro area from 1980-1990 and from 1990-1996, the percentage of female, Asian, White, Black, and Hispanic residents, the median household income, the percentage of married residents, the percentage of female-headed households, the 1997 unemployment rate, the percentage of same gender partnerships, the total number of churches, the number of churches per capita, the percentage of households with children under the age of 19, the percentage of the population aged 18-34, the percentage of residents that were college educated, income per capita, the percentage of foreign-born residents, the percentage of residents living in poverty, and the acceptability and prevalence of the city's "unconventional" or "counter" culture. The variables contained only in Part 2, Subset of Ten City Data With City-Specific Variables, are the type of community education present, the type of social culture in the community, the percentage of the work force employed in education or technology related jobs, the percentage of women in the work force, and the total number of churches in the county.

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.

In 2023, the gross median household income for Asian households in the United States stood at 112,800 U.S. dollars. Median household income in the United States, of all racial and ethnic groups, came out to 80,610 U.S. dollars in 2023. Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, Black, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. with 8.6 percent unemployed, according to the Bureau of Labor Statistics in 2021. Hispanic individuals (of any race) were most likely to go without health insurance as of 2021, with 22.8 percent uninsured.

This statistic shows the share of ethnic groups in Australia in the total population. 33 percent of the total population of Australia are english.

Australia’s population

Australia’s ethnic diversity can be attributed to their history and location. The country’s colonization from Europeans is a significant reason for the majority of its population being Caucasian. Additionally, being that Australia is one of the most developed countries closest to Eastern Asia; its Asian population comes as no surprise.

Australia is one of the world’s most developed countries, often earning recognition as one of the world’s economical leaders. With a more recent economic boom, Australia has become an attractive country for students and workers alike, who seek an opportunity to improve their lifestyle. Over the past decade, Australia’s population has slowly increased and is expected to continue to do so over the next several years. A beautiful landscape, many work opportunities and a high quality of life helped play a role in the country’s development. In 2011, Australia was considered to have one of the highest life expectancies in the world, with the average Australian living to approximately 82 years of age.

From an employment standpoint, Australia has maintained a rather low employment rate compared to many other developed countries. After experiencing a significant jump in unemployment in 2009, primarily due to the world economic crisis, Australia has been able to remain stable and slightly increase employment year-over-year.

The services sector dominated Malaysia’s employment in 2023, with around 62.41 percent of the labor force working in that sector. The industrial sector held 27.75 percent of workers, close to the ten-year average. Agricultural employment was down to below 10 percent, a decrease from 2007 that was absorbed by the services sector. Employment sector and productivity Comparing the share of employment to gross domestic product (GDP) in each sector, one can see that the industrial sector is most productive per worker in terms of output. This suggests that Malaysia should continue to invest in its industry and focus on increasing its trade surplus, for example. Regional context Malaysia is part of ASEAN, the Association of Southeast Asian Nations. While this bloc has a varied level of development as shown by GDP per capita, the overall level of economic growth in the region has been impressive in the past few decades. The increase in the number of internet users furthers Malaysia’s connection to both the regional and global economy. This suggests that the composition of Malaysia’s economy will continue to evolve in the coming years.