Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Sep 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table nameindicator nameUniversetimeframesourcerace notessource urlbelow_fpl_percbelow 100% federal poverty level percent (%)Population for whom poverty status is determined2016-2020, 2018-2022American Community Survey - S1703Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703below_200fpl_percbelow 200% federal poverty level percent (%)Total population2021, 2022Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022All races are Non-HispanicLA County eGIS-Demographymedian_incomeMedian income (household) Households2016-2020, 2018-2022American Community Survey - S1903All races are Non-Hispanic; Race is that of householderhttps://data.census.gov/cedsci/table?q=S1903&g=0500000US06037percapita_incomeMean Per Capita IncomeTotal population2016-2020, 2018-2022American Community Survey - S1902Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902college_degree_anyCollege degree AA, BA, or Higher %Population 25 years and over2021, 2022American Community Survey - B15002B-IRace alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037graduate_professional_degreeGraduate or professional degree %Population 25 years and over2021, 2022American Community Survey - B15002B-IRace alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037unemployment_rateUnemployment RatePopulation 16 years and over2016-2020, 2018-2022American Community Survey - S2301Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301below_300fpl_food_insecurePercent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018Los Angeles County Health Survey https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htmbelow_185fpl_snapPercent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as CalfreshAdults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm B24010Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

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 domains preempted within each state, 2018.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program 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..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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, 2018-2022 American Community Survey 5-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..Starting with 2013 data products, same-sex married couples are shown along with all married couples. For more information, see: User Notes..Selected labor force, employment, and work-status estimates for same- and opposite-sex married people using 2020 American Community Survey (ACS) 1-year data are available for the nation, states and the District of Columbia, and for selected metropolitan areas. At the national level, estimates are available by sex, race, and Hispanic origin. For more information, see the “Employment and Labor Force Characteristics for Same-Sex and Opposite-Sex Married Householders and their Spouses: 2020” table package on the Labor Force Statistics webpage..The 2018-2022 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 delineation lists 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 2020 Census 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.

Explanatory variables entered into CART and appearing in resulting Classification Trees, by Domain.

Data are aggregated from census tract to Countywide Statistical Area (CSA).Link to full report, State of Black LA.For more information about the purpose of this data, please contact CEO-ARDI.For more information about the configuration of this data, please contact ISD-Enterprise GIS. Field Descriptions:

Field

Description

Source

Source Year

csa

Countywide Statistical Area

eGIS

2022

sd

Supervisorial District

eGIS

2021

med_income_total

Average median household income for all residents

US Census ACS 5-year table S1903

2020

med_income_black

Average median household income for Black residents

US Census ACS 5-year table S1903

2020

homeownership_total

Homeownership rate for all residents

US Census ACS 5-year table B25003

2020

homeownership_black

Homeownership rate for Black residents

US Census ACS 5-year table B25003B

2020

eviction_filings_per100_renters

Eviction filings per 100 renter households

The Eviction Lab

2002-2018 (yearly average of available years)

life_expectancy

Average life expectancy

CDC

2015

black_pop

Black population (alone or in combination)

US Census ACS 5-year table DP05

2020

black_pct

% Black population (alone or in combination)

US Census ACS 5-year table DP05

2020

nh_black_pop

Non-Hispanic Black alone population

US Census ACS 5-year table DP05

2020

nh_black_pct

% Non-Hispanic Black alone population

US Census ACS 5-year table DP05

2020

college_grad

Population of residents age 25+ with bachelor degree or higher

US Census ACS 5-year table DP02

2020

college_grad_pct

% of all residents age 25+ with bachelor degree or higher

US Census ACS 5-year table DP02

2020

college_grad_black

Population of Black residents age 25+ with bachelor degree or higher

US Census ACS 5-year table S1501

2020

college_grad_black_pct

% of Black residents age 25+ with bachelor degree or higher

US Census ACS 5-year table S1501

2020

unemployment

Unemployment Rate

US Census ACS 5-year table S2301

2020

unemployment_black

Black (Alone) Unemployment Rate

US Census ACS 5-year table S2301

2020

total_pop

Total population

US Census ACS 5-year table DP05

2020

Shape

CSA Geometry

eGIS

2022

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, 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, 2016-2020 American Community Survey 5-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..Starting with 2013 data products, same-sex married couples are shown along with all married couples. For more information, see: User Notes..Selected labor force, employment, and work-status estimates for same- and opposite-sex married people using 2020 American Community Survey (ACS) 1-year data are available for the nation, states and the District of Columbia, and for selected metropolitan areas. At the national level, estimates are available by sex, race, and Hispanic origin. For more information, see the “Employment and Labor Force Characteristics for Same-Sex and Opposite-Sex Married Householders and their Spouses: 2020” table package on the Labor Force Statistics webpage..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 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 delineation lists 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.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.

In 2025, Costa Rica was the Latin American country with the highest gender gap index, with 0.786 points. Another Central American country, Belize, had the worst score in the region with 0.7 points. This means that, on average, women in this country have 30 percent less opportunities than men in education, health, the economy, and politics.

Gender Inequality in Latin America
Based on a 2023 survey conducted among the populace in each nation, Mexico has been perceived as having the least gender-based wage equality, receiving a score of 0.5 out of 1, which is the lowest. In contrast, Barbados is regarded as the most gender-equal among the LATAM countries. Furthermore, the labor market exhibits a male bias, as women have consistently experienced higher unemployment rates over the years, with a rate of 11.3 percent as of 2021. Additionally, it is more common across the countries to observe a greater proportion of females experiencing higher poverty rates, with Mexican and Colombian women being the primary two groups representing this circumstance.

Literacy gender gap
As education progresses in both the educational and labor sectors, the goal is to ensure that basic literacy is accessible to everyone. However, research data reveals that the gender parity index for adult and youth literacy in Latin America remains at around 1 percent. This means that one woman out of 100 is less likely to possess literacy skills compared to men. Furthermore, this rate shows a significant gender gap, with 93.71 percent of females in this region accounting for this skill. Consequently, in the labor field, there are implications for skilled workers due to this literacy gap, resulting in higher rates of unemployment, a lack of training, and a non-educational population. This issue affects approximately 28.4 percent of women in Latin America.