22 datasets found
  1. F

    Unemployment Rate - Black or African American

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). Unemployment Rate - Black or African American [Dataset]. https://fred.stlouisfed.org/series/LNS14000006
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  2. U.S. annual unemployment rate 1990-2024

    • statista.com
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    Statista, U.S. annual unemployment rate 1990-2024 [Dataset]. https://www.statista.com/statistics/193290/unemployment-rate-in-the-usa-since-1990/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. U.S. unemployment rate by age 1990-2024

    • statista.com
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    Statista, U.S. unemployment rate by age 1990-2024 [Dataset]. https://www.statista.com/statistics/217882/us-unemployment-rate-by-age/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1948 - Sep 30, 2025
    Area covered
    United States
    Description

    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.

  5. e

    Employment and Unemployment Survey, EUS 2018 - Jordan

    • erfdataportal.com
    Updated Dec 1, 2024
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    Department of Statistics (2024). Employment and Unemployment Survey, EUS 2018 - Jordan [Dataset]. https://www.erfdataportal.com/index.php/catalog/303
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    Dataset updated
    Dec 1, 2024
    Dataset provided by
    Department of Statistics
    Economic Research Forum
    Time period covered
    2018
    Area covered
    Jordan
    Description

    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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

    The Department of Statistics (DoS) implements the Labor Force Survey through four rounds every year. The survey covers about 16,500 households distributed over all governorates. The households are selected on the basis of scientific criteria in designing the multistage cluster stratified samples. It should be noted that the survey sample represents the Kingdom, governorates, three regions, urban / rural and Jordanians and non-Jordanians.

    It is worth mentioning that the Department of Statistics uses the tablet sets in data collection and processing and an electronic questionnaire instead of the paper format.

    The survey main objectives are: - To identify the demographic, social and economic characteristics of the population and manpower. - To identify the occupational structure and economic activity of the employed persons, as well as their employment status. - To identify the reasons behind the desire of the employed persons to search for a new or additional job. - To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old). - To identify the different characteristics of the unemployed persons. - To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard. - To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons. - To identify the changes overtime that might take place regarding the above-mentioned variables.

    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 representative on the national level (Kingdom), governorates, three regions (Central, North and South), urban / rural and Jordanians and non-Jordanians.

    Analysis unit

    1- 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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Cleaning operations

    ----> Raw Data

    A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

    ----> Harmonized Data

    • The STATA software is used to clean and harmonize the datasets.
    • The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
    • All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
    • A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
    • A post-harmonization cleaning process is then conducted on the data.
    • Harmonized data is saved on the individual level, in STATA and then converted to SPSS, to be disseminated.
  6. T

    Unemployment Rate in Black Hawk County, IA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Unemployment Rate in Black Hawk County, IA [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate-in-black-hawk-county-ia-percent-m-nsa-fed-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Iowa, Black Hawk County
    Description

    Unemployment Rate in Black Hawk County, IA was 4.70% in August of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate in Black Hawk County, IA reached a record high of 11.70 in April of 2020 and a record low of 2.10 in October of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Black Hawk County, IA - last updated from the United States Federal Reserve on December of 2025.

  7. a

    SBLA Income & Employment Indicators

    • equity-lacounty.hub.arcgis.com
    • hub.arcgis.com
    Updated Sep 27, 2022
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    County of Los Angeles (2022). SBLA Income & Employment Indicators [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/bda5109ae480420287d6ec3f8770f3f4
    Explore at:
    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    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

  8. T

    South Africa Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 11, 2025
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    TRADING ECONOMICS (2025). South Africa Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Nov 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 2000 - Sep 30, 2025
    Area covered
    South Africa
    Description

    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.

  9. T

    Canada Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 5, 2025
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    TRADING ECONOMICS (2025). Canada Unemployment Rate [Dataset]. https://tradingeconomics.com/canada/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1966 - Oct 31, 2025
    Area covered
    Canada
    Description

    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.

  10. Percentage of U.S. population as of 2016 and 2060, by race and Hispanic...

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Percentage of U.S. population as of 2016 and 2060, by race and Hispanic origin [Dataset]. https://www.statista.com/statistics/270272/percentage-of-us-population-by-ethnicities/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    United States
    Description

    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.

  11. e

    Labor Force Survey, LFS 2018 - Egypt, Arab Rep.

    • erfdataportal.com
    Updated May 20, 2024
    + more versions
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    Central Agency For Public Mobilization & Statistics (2024). Labor Force Survey, LFS 2018 - Egypt, Arab Rep. [Dataset]. http://www.erfdataportal.com/index.php/catalog/167
    Explore at:
    Dataset updated
    May 20, 2024
    Dataset provided by
    Central Agency For Public Mobilization & Statistics
    Economic Research Forum
    Time period covered
    2018
    Area covered
    Arab Rep., Egypt
    Description

    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 in two rounds (January-March), (April-June), and (October-December) while the long version of the questionnaire is collected in the 3rd round (July-September) that includes more information on housing conditions and immigration.

    ---> 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

    At the beginning of the first quarter in 2018 (January-March),the sample design was developed. sample size was withdrawn 50% of the (panel households) visited in the same quarter last year and 50% of the sample size (new households) visited for the first time, as well as to divide the sample of each governorate into six parts instead of five , in addition to Develop research questions according to the goals of Nineteenth Congress of Labor Statistics held at Geneva in 2013, therefore new questions to measure informal employment and the informal sector. An application for the new questionnaire has been designed and implemented on the tablet, Entry application has been designed for the new questionnaire so that the question will be completed on the field and then The data is entered through the researchers at the offices, correcting the errors first-hand and returning to the family again and sending data daily.

    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 The sample size in each quarter is 22,626 households with a total number of 80804 households annually. These households are distributed on the governorate level (urban/rural), according to the estimated number of households in each governorate in accordance with the percentage of urban and rural population in each governorate.

    • Cluster size The cluster size is 18 households.

    • Sampling stages:

      (1) Primary Sampling Unit (PSU): The 2006 Population Census provided sufficient data at the level of the Enumeration Area (EA). Hence, the electronic list of EA's represented the frame of the first stage sample; in which the corresponding number of households per EA was taken as a measure of size. The size of an EA is almost 200 households on average, with some variability expected. The size of first stage national sample was estimated to be 5,024 EA.

      (2) Sample Distribution by Governorate: The primary stratifying variable is the governorate of residence, which in turn is divided into urban and rural sub-strata, whenever applicable.

      (3) First Stage Sample frame: The census lists of EAs for each substratum, associated with the corresponding number of households, constitute the frame of the first stage sample. The identification information appears on the EA's list includes the District code, Shiakha/Village code, Census Supervisor number, and Enumerator number. Prior to the selection of the first stage sample, the frame was arranged to provide implicit stratification with regard to the geographic location. The urban frame of each governorate was ordered in a serpentine fashion according to the geographic location of kism/ district capitals. 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 a balanced spread of the sample over the area of respective governorates. The sample was selected with Probability Proportional to Size (PPS), with the number of census households taken as a Measure of Size (MOS).

      (4) Core Sample allocation The core sample EAs (5,024) were divided among the survey 4 rounds, each round included 1,257 EAs (565 in urban areas and 692 in rural areas).

    A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire design follows the latest International Labor Organization (ILO) concepts and definitions of labor force, employment, and unemployment.

    The questionnaire comprises 4 tables in addition to the identification and geographic data of household on the cover page.

    ---> Table 1- The housing conditions of the households

    This table includes information on the housing conditions of the household: - Type of the dwelling, - Tenure of the dwelling (owned/rent) , - Availability of facilities and services connected to the house - Ownership of durables.

    ---> Table 2- Demographic and employment characteristics and basic data for all household individuals

    Including: gender, age, educational status, marital status, residence mobility and current work status

    ---> Table 3- Employment characteristics table

    This table is filled by employed individuals at the time of the survey or those who were engaged to work during the reference week, and provided information on: - Relationship to employer: employer, self-employed, waged worker, and unpaid family worker - Economic activity - Sector - Occupation - Effective working hours - Health and social insurance - Work place - Contract type - Average monthly wage

    ---> Table 4- Unemployment characteristics table

    This table is filled by all unemployed individuals who satisfied the unemployment criteria, and provided information on:

    - Type of unemployment (unemployed, unemployed ever worked)

  12. T

    South Africa Youth Unemployment Rate

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 13, 2024
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    TRADING ECONOMICS (2024). South Africa Youth Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/youth-unemployment-rate
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 2013 - Sep 30, 2025
    Area covered
    South Africa
    Description

    Youth Unemployment Rate in South Africa decreased to 58.50 percent in the third quarter of 2025 from 62.20 percent in the second quarter of 2025. This dataset provides - South Africa Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. a

    2021-2022 SBLA Community Indicators

    • equity-lacounty.hub.arcgis.com
    • hub.arcgis.com
    Updated Oct 27, 2022
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    County of Los Angeles (2022). 2021-2022 SBLA Community Indicators [Dataset]. https://equity-lacounty.hub.arcgis.com/datasets/2021-2022-sbla-community-indicators
    Explore at:
    Dataset updated
    Oct 27, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    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

  14. Unemployment rate of both sexes aged 15 years and over in all industries in...

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Unemployment rate of both sexes aged 15 years and over in all industries in Canada [Dataset]. https://www.statista.com/statistics/578362/unemployment-rate-canada/
    Explore at:
    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    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.

  15. T

    Spain Unemployment Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 24, 2025
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    TRADING ECONOMICS (2025). Spain Unemployment Rate [Dataset]. https://tradingeconomics.com/spain/unemployment-rate
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 24, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 1976 - Sep 30, 2025
    Area covered
    Spain
    Description

    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.

  16. Unemployment rate in South Africa 1991-2024

    • statista.com
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    Statista, Unemployment rate in South Africa 1991-2024 [Dataset]. https://www.statista.com/statistics/370516/unemployment-rate-in-south-africa/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    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.

  17. Number of domains preempted within each state, 2018.

    • plos.figshare.com
    xls
    Updated Apr 4, 2025
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    José A. Pagán; Diana Silver; Kelley Akiya; Jennifer L. Pomeranz (2025). Number of domains preempted within each state, 2018. [Dataset]. http://doi.org/10.1371/journal.pone.0321184.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    José A. Pagán; Diana Silver; Kelley Akiya; Jennifer L. Pomeranz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number of domains preempted within each state, 2018.

  18. Childcare Costs Database

    • kaggle.com
    zip
    Updated Oct 11, 2023
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    Sujay Kapadnis (2023). Childcare Costs Database [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/childcare-costs
    Explore at:
    zip(4280678 bytes)Available download formats
    Dataset updated
    Oct 11, 2023
    Authors
    Sujay Kapadnis
    Description

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

    Data Dictionary

    childcare_costs.csv

    variableclassdescription
    county_fips_codedoubleFour- or five-digit number that uniquely identifies the county in a state. The first two digits (for five-digit numbers) or 1 digit (for four-digit numbers) refer to the FIPS code of the state to which the county belongs.
    study_yeardoubleYear the data collection began for the market rate survey and in which ACS data is representative of, or the study publication date.
    unr_16doubleUnemployment rate of the population aged 16 years old or older.
    funr_16doubleUnemployment rate of the female population aged 16 years old or older.
    munr_16doubleUnemployment rate of the male population aged 16 years old or older.
    unr_20to64doubleUnemployment rate of the population aged 20 to 64 years old.
    funr_20to64doubleUnemployment rate of the female population aged 20 to 64 years old.
    munr_20to64doubleUnemployment rate of the male population aged 20 to 64 years old.
    flfpr_20to64doubleLabor force participation rate of the female population aged 20 to 64 years old.
    flfpr_20to64_under6doubleLabor force participation rate of the female population aged 20 to 64 years old who have children under 6 years old.
    flfpr_20to64_6to17doubleLabor force participation rate of the female population aged 20 to 64 years old who have children between 6 and 17 years old.
    flfpr_20to64_under6_6to17doubleLabor force participation rate of the female population aged 20 to 64 years old who have children under 6 years old and between 6 and 17 years old.
    mlfpr_20to64doubleLabor force participation rate of the male population aged 20 to 64 years old.
    pr_fdoublePoverty rate for families.
    pr_pdoublePoverty rate for individuals.
    mhi_2018doubleMedian household income expressed in 2018 dollars.
    me_2018doubleMedian earnings expressed in 2018 dollars for the population aged 16 years old or older.
    fme_2018doubleMedian earnings for females expressed in 2018 dollars for the population aged 16 years old or older.
    mme_2018doubleMedian earnings for males expressed in 2018 dollars for the population aged 16 years old or older.
    total_popdoubleCount of the total population.
    one_racedoublePercent of population that identifies as being one race.
    one_race_wdoublePercent of population that identifies as being one race and being only White or Caucasian.
    one_race_bdoublePercent of population that identifies as being one race and being only Black or African American.
    one_race_idoublePercent of population that identifies as being one race and being only American Indian or Alaska Native.
    one_race_adoublePercent of population that identifies as being one race and being only Asian.
    one_race_hdoublePercent of population that identifies as being one race and being only Native Hawaiian or Pacific Islander.
    one_race_otherdoublePercent of population that identifies as being one race and being a different race not previously mentioned.
    two_racesdoublePercent of population that identifies as being two or more races.
    hispanicdoublePercent of population that identifies as being Hispanic or Latino regardless of race.
    householdsdoubleNumber of households.
    h_under6_both_workdoubleNumber of households with children under 6 years old with two parents that are both working.
    h_under6_f_workdoubleNumber of households with children under 6 years old with two parents with only the father working.
    h_under6_m_workdoubleNumber of households with children under 6 years old with two parents with only the mother working.
    h_under6_single_mdoubleNumber of households with children under 6 years old with a single mother.
    h_6to17_both_workdoubleNumber of households with children between 6 and 17 years old with two parents that are both working.
    h_6to17_fworkdoubleNumber of households with children between 6 and 17 years old with two parents with only the father working.
    h_6to17_mworkdoubleNumber of households with children between 6 and 17 year...
  19. T

    Australia Unemployment Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). Australia Unemployment Rate [Dataset]. https://tradingeconomics.com/australia/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 1978 - Oct 31, 2025
    Area covered
    Australia
    Description

    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.

  20. Explanatory variables entered into CART and appearing in resulting...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Apr 4, 2025
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    José A. Pagán; Diana Silver; Kelley Akiya; Jennifer L. Pomeranz (2025). Explanatory variables entered into CART and appearing in resulting Classification Trees, by Domain. [Dataset]. http://doi.org/10.1371/journal.pone.0321184.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    José A. Pagán; Diana Silver; Kelley Akiya; Jennifer L. Pomeranz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

Share
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Email
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(2025). Unemployment Rate - Black or African American [Dataset]. https://fred.stlouisfed.org/series/LNS14000006

Unemployment Rate - Black or African American

LNS14000006

Explore at:
42 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Nov 20, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

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.

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