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.

View monthly updates and historical trends for US Unemployment Rate: Black or African American. from United States. Source: Bureau of Labor Statistics. Tr…

In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

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.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Introduction

As a part of the Google Data Analytics Professional Certificate Program, this case study serves as a data analytics adventure and a way to dive into something personal. While many face the difficulty of finding employment out of college, it became especially tedious to do so due to the COVID-19 pandemic. As such, this case study revolves around unemployment trends from 2021 using data sourced from the United States Bureau of Labor Statistics. I used datasets surrounding unemployment and employment trends in 2021 to answer the following:

Questions

1. What methods for job searching were the most prevalent across age ranges? Across gender/race/Hispanic-Latino ethnicity?
2. What trends exist between and within the most prevalent venues for job searching among the unemployed?
3. What job sector(s) does the majority of the population comprise? What trends exist within and between the most popular job sector and the least popular job sector? What relationship do these factors have with race/gender/Hispanic-Latino ethnicity?
4. How does information about prevalent job searching influence the job market and the applicants in the job search phase?

Insights (see the data section below for charts, graphs, and the .Rmd file I utilized)

• In 2021, the unemployed, with ages ranging from 16-65, preferred resumes and applications as their method for seeking out jobs. This method was especially prevalent in the age range 16-34, where, the highest bracket of job seekers were 24-35 years old. A close second was contacting an employer directly, primarily used by 45-64-year-olds. When considering gender/ethnicity/race, however, compared to their male counterparts, white women and women of color were the highest users of the resumes and applications method. However, white males and men of color were the highest users of the contacting employers directly method.
• Among the unemployed resumes were overall the most prevalent method of applying for jobs in 2021, where, people aged 16--34 and women regardless of ethnicity/race were the most likely to utilize this method to search for jobs.
• The majority of the population resides in the "Management, Professional, and related occupations" job sector, with the least popular form of occupations being in the "Farming, Fishing, and Forestry" sector. This sentiment can be found almost across all genders/races/ethnicities, though, some other job sectors like "Production, transportation, and material moving occupations" and "Natural resources, construction, and maintenance occupations" were more prevalent concerning the Black/African American men, Hispanic/Latino women, and Hispanic/Latino men respectively.
• This information is highly useful for job industries, specifically, those in the "Management, Professional, and related occupations" sector. With this, industries in this job sector can project what their incoming job applicant pool may look like and how to prepare for making the application process more accessible. This information can also serve to reinforce fairness and inclusivity in the job application process and in the work environment.

** Overall**

Using this information a company can project in 2022-2023 the majority of applicants will either apply to jobs using resumes/applications, the majority of these applicants may be 16-34 years old, and women regardless of ethnicity and race. They can also look out for applicants who are older, 45-64 years old, and applicants who are men regardless of ethnicity and race, being more likely to contact them as an employer directly. If an employer prefers to be directly contacted, they should make sure to consider the difficulties that people of different race/ethnic/and gender identities may have done so, and, either should either make the job positing more welcoming and inclusive to do so or, be sure to include a process of hiring via resumes/applications in order to better represent the unemployed population seeking jobs.

Unemployment Rate in South Africa decreased to 31.90 percent in the third quarter of 2025 from 33.20 percent in the second quarter of 2025. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

Consumer Expenditures - Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Race: Black or African American was 489.00000 U.S. $ in January of 2023, according to the United States Federal Reserve. Historically, Consumer Expenditures - Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Race: Black or African American reached a record high of 1150.00000 in January of 2021 and a record low of 413.00000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Consumer Expenditures - Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Race: Black or African American - last updated from the United States Federal Reserve on November of 2025.

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 name indicator name Universe timeframe source race notes source url

below_fpl_perc below 100% federal poverty level percent (%) Population for whom poverty status is determined 2016-2020 American Community Survey - S1703 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703

below_200fpl_perc below 200% federal poverty level percent (%) Total population 2021 Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022 All races are Non-Hispanic LA County eGIS-Demography

median_income Median income (household) Households 2016-2020 American Community Survey - S1903 All races are Non-Hispanic; Race is that of householder https://data.census.gov/cedsci/table?q=S1903&g=0500000US06037

percapita_income Mean Per Capita Income Total population 2016-2020 American Community Survey - S1902 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902

college_degree_any College degree AA, BA, or Higher % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

graduate_professional_degree Graduate or professional degree % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

unemployment_rate Unemployment Rate Population 16 years and over 2016-2020 American Community Survey - S2301 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301

below_300fpl_food_insecure Percent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018 Los Angeles County Health Survey

https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

below_185fpl_snap Percent 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 Calfresh Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018 https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

B24010 Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The unemployment rate in Africa was expected to reach seven percent in 2024. In the period under review, unemployment in the continent peaked at 7.2 percent in 2021. Unemployment levels varied significantly across African countries. South Africa was estimated to register the highest rate in 2024 at around 30 percent.

Unemployment Rate in Spain increased to 10.45 percent in the third quarter of 2025 from 10.29 percent in the second quarter of 2025. This dataset provides the latest reported value for - Spain Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in France increased to 7.70 percent in the third quarter of 2025 from 7.60 percent in the second quarter of 2025. This dataset provides the latest reported value for - France Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2024, the unemployment rate of both sexes aged 15 years and over in all industries in Canada stood at 6.3 percent. Between 1976 and 2024, the figure dropped by 0.8 percentage points, though the decline followed an uneven course rather than a steady trajectory.

Unemployment Rate in Australia decreased to 4.30 percent in October from 4.50 percent in September of 2025. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

In any society, the human element represents the basis of the work force which exercises all the service and production activities. Therefore, it is a mandate to produce labor force statistics and studies, that is related to the growth and distribution of manpower and labor force distribution by different types and characteristics.

In this context, the Central Agency for Public Mobilization and Statistics conducts "Quarterly Labor Force Survey" which includes data on the size of manpower and labor force (employed and unemployed) and their geographical distribution by their characteristics.

By the end of each year, CAPMAS issues the annual aggregated labor force bulletin publication that includes the results of the quarterly survey rounds that represent the manpower and labor force characteristics during the year.

---> Historical Review of the Labor Force Survey:

1- The First Labor Force survey was undertaken in 1957. The first round was conducted in November of that year, the survey continued to be conducted in successive rounds (quarterly, bi-annually, or annually) till now.

2- Starting the October 2006 round, the fieldwork of the labor force survey was developed to focus on the following two points: a. The importance of using the panel sample that is part of the survey sample, to monitor the dynamic changes of the labor market. b. Improving the used questionnaire to include more questions, that help in better defining of relationship to labor force of each household member (employed, unemployed, out of labor force ...etc.). In addition to re-order of some of the already existing questions in much logical way.

3- Starting the January 2008 round, the used methodology was developed to collect more representative sample during the survey year. this is done through distributing the sample of each governorate into five groups, the questionnaires are collected from each of them separately every 15 days for 3 months (in the middle and the end of the month)

4- Starting the January 2012 round, in order to follow the international recommendation, to avoid asking extra questions that affect the precision and accuracy of the collected data, a shortened version of the questionnaire was designed to include the core questions that enable obtaining the basic Egyptian labor market indicators. The shortened version is collected usually in three rounds, while the long version that includes more information on housing conditions and immigration of the questionnaire is usually collected in one round .

---> The survey aims at covering the following topics:

1- Measuring the size of the Egyptian labor force among civilians (for all governorates of the republic) by their different characteristics. 2- Measuring the employment rate at national level and different geographical areas. 3- Measuring the distribution of employed people by the following characteristics: Gender, age, educational status, occupation, economic activity, and sector. 4- Measuring unemployment rate at different geographic areas. 5- Measuring the distribution of unemployed people by the following characteristics: Gender, age, educational status, unemployment type “ever employed/never employed”, occupation, economic activity, and sector for people who have ever worked.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample of urban and rural areas in all the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

---> Sample Design and Selection

The sample of Labor Force Survey is a two-stage stratified cluster sample and selfweighted to the extent practical.

The main elements of the sampling design are described as follows:

• Sample Size Sample size designed for each quarter is 22500 households with a total of 89982 households per year (Designed Sample 89982, Implemented Sample 79271) , allocated 45.4% for Urban and 54.6 % for rural over all governorates ( urban / rural) in proportion to the size of each governorate , the sample divided to : a. New Households with sample size 11502 households for each quarter. b. Panel households with sample size 10998 households for each quarter selected from the same quarter in year 2020.

• Cluster size The cluster size is 18 households.

• Sampling stages:

A- First sampling stage: (1) Primary Sampling Unit: The 2017 population census data was used to obtain an electronic list of areas of aid, or in other words, enumeration areas (EAS) with an average of 600-750 households through all the republic. This list represents the framework of the first phase of the sample, where 10,000 auxiliary areas were selected as primary sampling units (PSU) for the first phase of the main sample. (2) Stratification and allocation of the initial inspection unit: The governorate is considered the primary layer, which is divided into urban and rural as sub-classes, where the allocation commensurate with the size of the sample between governorates, and between urban and rural areas in each governorate in the first phase of inspection, in order to achieve selfweighting of the basic and sub-classes at the national level .

B- SECOND Sampling phase: (1) The division of each initial survey into a number of parts approximately equal in size (200 households / part), each part is called an area plot. (2) Selecting an area plot (one part of each primary sampling unit) using the simple random sampling method.

C- THIRD stage of Sampling: 1- The basic sample areas (10,000 area plots) were divided into four groups, each group contain 2,500 area plots) using the simple random sampling method, and one of the most important advantages of random division is that each area plot has the same opportunity to appear between the four groups. 2- Field work is carried out into four phases (each phase is executed every two years). The implementation of the first phase began since March 2018. 3- The goal of this subdivision is to ensure that the sample is not outdated for as long as possible, and that household data are constantly updated. 4- The representation of urban and rural areas at the level of the governorates of the Republic has been taken into account.

D- Sample Allocation among Governorates: Governorate is considered the primary main strata that divided into substrata (Urban/ Rural), allocation proportional to size was determined among governorates as well as among urban and rural in each governorate at the first sampling stage.

Sample frame first Stage: The Census lists of EA's for each strata constitute the frame of the sample first stage. The identification information appears on the EA's list includes District code,(Shiakha/Village)code, Census Supervisor and enumerator numbers, Census Supervisor number is unique at the level of (Shiakha /Village), while the enumerator number is unique within the EA enumeration assigned to supervisor. During investigating the list of EA's with regard to the number of households and their consistency with each EA, it has been found that number of households at these EA's are below the average ( less than 200 household ). The reason for that is that some enumerators included institutional households which have been excluded later and includes only households habiting in private housing. As a result, a decision was made to adjoin any EA with less than 160 H.H. to an adjacent one. Thus, in those exceptional cases the primary Sampling Units (PSU) consists of two EA's. To select the primary sampling units (Sampling first stage), the frame was arranged to provide implicit stratification with regard to the geographic location, where the urban of each governorate was arranged in a spiral according to the geographic location (kism / district). The same sort of ordering was made on the rural frame, but according to the district location. The systematic selection of EA's sample from such a sorted frame will ensure balanced distribution of the sample over the substrata of respective governorates, After this stage, the sample was selected with probability proportional to Size (PPS), of census households number in EA (200 households) was taken as a Measure of Size (MOS). The Sample households was selected from each EA using equal probability of the systematic selection method.

D- Division of Primary Sampling Unit: Primary sampling unit (5000 EA) was divided into four rounds, each has (1250 EA). Then the household sample was then selected from each EA with equal probability, using the systematic selection method normally. The table (B) shows designed, implemented sample and Response Rate according to governorate (Urban & Rural).

A more detailed description of the different sampling stages and allocation of sample across

The unemployment rate in South Africa stood at 33.17 percent in 2024. Between 1991 and 2024, the unemployment rate rose by 10.17 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Data on labour force status including employment, unemployment and labour force participation rates by visible minority, immigrant status and period of immigration, highest level of education, age and gender.