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 employment and unemployment indicator shows several data points. The first figure is the number of people in the labor force, which includes the number of people who are either working or looking for work. The second two figures, the number of people who are employed and the number of people who are unemployed, are the two subcategories of the labor force. The unemployment rate is a calculation of the number of people who are in the labor force and unemployed as a percentage of the total number of people in the labor force.

The unemployment rate does not include people who are not employed and not in the labor force. This includes adults who are neither working nor looking for work. For example, full-time students may choose not to seek any employment during their college career, and are thus not considered in the unemployment rate. Stay-at-home parents and other caregivers are also considered outside of the labor force, and therefore outside the scope of the unemployment rate.

The unemployment rate is a key economic indicator, and is illustrative of economic conditions in the county at the individual scale.

There are additional considerations to the unemployment rate. Because it does not count those who are outside the labor force, it can exclude individuals who were looking for a job previously, but have since given up. The impact of this on the overall unemployment rate is difficult to quantify, but it is important to note because it shows that no statistic is perfect.

The unemployment rates for Champaign County, the City of Champaign, and the City of Urbana are extremely similar between 2000 and 2023.

All three areas saw a dramatic increase in the unemployment rate between 2006 and 2009. The unemployment rates for all three areas decreased overall between 2010 and 2019. However, the unemployment rate in all three areas rose sharply in 2020 due to the effects of the COVID-19 pandemic. The unemployment rate in all three areas dropped again in 2021 as pandemic restrictions were removed, and were almost back to 2019 rates in 2022. However, the unemployment rate in all three areas rose slightly from 2022 to 2023.

This data is sourced from the Illinois Department of Employment Security’s Local Area Unemployment Statistics (LAUS), and from the U.S. Bureau of Labor Statistics.

Sources: Illinois Department of Employment Security, Local Area Unemployment Statistics (LAUS); U.S. Bureau of Labor Statistics.

In 2024, ****************** had the lowest unemployment rate among Central and Eastern European (CEE) countries, at *** percent and *** percent, respectively. On the other hand, the highest unemployment rate was recorded in Estonia and Lithuania. The average unemployment rate in all European Union member states amounted to *** percent in this period.

The statistic shows the unemployment rate in selected world regions between 2019 and 2024. In 2024, the unemployment rate in the Arab World was estimated to have been at 9.46 percent. Unemployment around the globe Following the global financial crisis in 2008, unemployment saw considerable downturns around the globe, most notably in 2009. Unemployment rates, despite experiencing dramatic improvements over the years following the crisis, still have not reached pre-2009 levels for the large majority of countries. The same trend is followed with unemployment among the youth between the ages of 15 and 24, around the world. Many youth experienced layoffs after 2008, mainly because their skills were interchangeable and easily replaceable and as a result, youth unemployment increased, although the situation has improved slightly. The unemployment rate in selected world regions remained relatively stagnant year-over-year from 2012 to 2013, however is expected to improve over the long run based on current employment trends. Economic improvement around the world is primarily evident from growth of real gross domestic product , which has been relatively positive in most countries with the exception of those in the euro area. Growth of real gross domestic product points to economic growth as well as a higher productivity within each country. On the other hand, other indicators of economic health, such as inflation, point to further economic distraught, as inflation is expected to increase globally, most prominently in non-developed countries.

Unemployment Rate in the United States increased to 4.30 percent in August from 4.20 percent in July 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.

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

This data set contains the veterans unemployment rate in Maryland. Figures come from the Bureau of Labor Statistics, and are subject to revision.

In 2023, the unemployment rate of persons with a disability was at 7.2 percent in the United States. This was a decrease from the previous year, when the unemployment rate was at 7.6 percent. The high unemployment among persons with disabilities may be due to the COVID-19 pandemic that has impacted everyone's employment, as can be seen in the unemployment rate of adults in the United States. The persons with a disability section of the Current Population Survey (CPS) is a set of six questions to identify persons who have physical, mental, or emotional conditions that cause serious difficulty with their daily activities. Disability in the labor force The U.S. Bureau of Labor Statistics (BLS) shows the unemployment rate of persons with a disability that have the ability to participate in the civilian labor force. In 2020 around 20.5 percent of persons with disabilities in the United States participated in the civilian labor force. Among those capable of participating in the civilian labor force, persons with a disability tend to have a higher chance of employment the higher their level of education. Persons with a disability that had a bachelor's degree or higher had the highest employment rate in 2020 at 25.7 percent. Social Security benefits Due to the inability to work, or the lack of access to suitable employment, many persons with a disability rely on government sources for financial aid. A portion of civilian paychecks are taxed to fund programs like the Old-Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) which provide this aid. In 2018, around 12.46 million disabled persons received OASDI or SSI benefits in the United States.

Long Term Unemployment Rate in Switzerland remained unchanged at 1.40 percent in the second quarter of 2025 from 1.40 percent in the first quarter of 2025. This dataset provides - Switzerland Long Term Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

CU: Unemployment: National Estimate: Youth Female: % of Female Labour Force Aged 15-24 data was reported at 5.590 % in 2010. This records an increase from the previous number of 3.490 % for 2009. CU: Unemployment: National Estimate: Youth Female: % of Female Labour Force Aged 15-24 data is updated yearly, averaging 4.540 % from Dec 2009 (Median) to 2010, with 2 observations. The data reached an all-time high of 5.590 % in 2010 and a record low of 3.490 % in 2009. CU: Unemployment: National Estimate: Youth Female: % of Female Labour Force Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Employment and Unemployment. Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Youth Unemployment Rate in Palestine decreased to 37.60 percent in the second quarter of 2025 from 42.30 percent in the first quarter of 2025. This dataset provides - Palestine Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Unemployment Rate - 20 Yrs. & over (LNS14000024) from Jan 1948 to Aug 2025 about 20 years +, household survey, unemployment, rate, and USA.

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) carried out four rounds of the 2009 Employment and Unemployment Survey (EUS) during February, May, August and November 2009. The survey rounds covered a total sample of about fifty three thousand households Nation-wide. The sampled households were selected using a stratified multi-stage cluster sampling design. It is noteworthy that the sample represents the national level (Kingdom), governorates, the three Regions (Central, North and South), and the urban/rural areas.

The importance of this survey lies in that it provides a comprehensive data base on employment and unemployment that serves decision makers, researchers as well as other parties concerned with policies related to the organization of the Jordanian labor market.

It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

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, the three Regions (Central, North and South), and the urban/rural areas.

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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Survey Frame

The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city. The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate was considered as an independent stratum. The same was applied to rural areas where it was considered as an independent stratum. The total number of strata was 30.

In view of the existing significant variation in the socio-economic characteristics in large cities in particular and in urban in general, each stratum of the large cities and urban strata was divided into four sub-stratum according to the socio- economic characteristics provided by the population and housing census with the purpose of providing homogeneous strata.

The frame excludes the population living in remote areas (most of whom are nomads). In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.

Sample Design

The sample of this survey was designed, using the two-stage cluster stratified sampling method. The main sample was designed in 2009 based on the data of the population and housing census 2004 for carrying out household surveys. The sample is representative on the Kingdom, rural-urban regions and governorates levels. The total sample size for each round was 1336 Primary Sampling Units (PSUs) (clusters). These units were distributed to urban and rural regions in the governorates, in addition to the large cities in each governorate according to the weight of persons and households, and according to the variance within each stratum. Slight modifications regarding the number of these units were made to cope with the multiple of 8, the number of clusters for four rounds was 5344.

The main sample consists of 40 replicates, each replicate consists of 167 PSUs. For the purpose of each round, eight replicates of the main sample were used. The PSUs were ordered within each stratum according to geographic characteristics and then according to socio-economic characteristics in order to ensure good spread of the sample. Then, the sample was selected on two stages. In the first stage, the PSUs were selected using the Probability Proportionate to Size with systematic selection procedure. The number of households in each PSU served as its weight or size. In the second stage, the blocks of the PSUs (cluster) which were selected in the first stage have been updated. Then a constant number of households (10 households) was selected, using the random systematic sampling method as final PSUs from each PSU (cluster).

More information on the distribution of the number of PSUs, and the number of households by regions and governorates is available in Table 1 (Page 3) of the survey report provided among the disseminated survey materials under a file named "Jordan 2009- EUS Report (English).pdf".

Sampling notes

It is noteworthy that the sample of the present survey does not represent the non-Jordanian population, due to the fact that it is based on households living in conventional dwellings. In other words, it does not cover the collective households living in collective dwellings. Therefore, the non-Jordanian households covered in the present survey are either private households or collective households living in conventional dwellings. In Jordan, it is well known that a large number of non-Jordanian workers live as groups and spend most of their time at their work places. Hence, it is more unlikely to find them at their residences during daytime (i.e. the time when the data of the survey is collected). Furthermore, most of them live in their work places, such as: workshops, sales stores, guard places, or under construction building's sites. Such places are not classified as occupied dwellings for household sampling purposes. Due to all of the above, the coverage of such population would not be complete in household surveys.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It was finalized upon completion of the training program. The questionnaire is divided into main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.

Cleaning operations

Raw Data

120 PDA were used to input and transfer data from the interviewees to the database. The plan of the tabulation of survey results was guided by former Employment and Unemployment Surveys which were previously prepared and tested. When all data processing procedures were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data such as titles, inputs, concepts, as well as the figures. The final survey report was then prepared to include all detailed tabulations as well as the methodology of the survey.

Harmonized Data

• STATA package 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 household as well as the individual level, in STATA and then converted to SPSS, to be disseminated.

Response rate

Sample Coverage

The results of the fieldwork indicated that all sampled households were visited. The

United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed data was reported at 4.900 % in Jun 2018. This records an increase from the previous number of 4.600 % for May 2018. United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed data is updated monthly, averaging 6.450 % from Jan 1994 (Median) to Jun 2018, with 294 observations. The data reached an all-time high of 11.400 % in Oct 2009 and a record low of 4.600 % in May 2018. United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G021: Current Population Survey: Unemployment Rate: Seasonally Adjusted.

The number of unemployed persons in Chile decreased to 875.89 Thousand in August of 2025 from 888.97 Thousand in July of 2025. This dataset provides - Chile Unemployed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Unemployment Rate: sa: Male: Age 25 to 54 data was reported at 3.100 % in Sep 2018. This stayed constant from the previous number of 3.100 % for Aug 2018. United States Unemployment Rate: sa: Male: Age 25 to 54 data is updated monthly, averaging 4.100 % from Jan 1948 (Median) to Sep 2018, with 849 observations. The data reached an all-time high of 10.000 % in Oct 2009 and a record low of 1.500 % in Jun 1969. United States Unemployment Rate: sa: Male: Age 25 to 54 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G021: Current Population Survey: Unemployment Rate: Seasonally Adjusted.

United States Unemployment Rate: sa: Male: Age 45 to 54 data was reported at 3.000 % in Jun 2018. This records an increase from the previous number of 2.800 % for May 2018. United States Unemployment Rate: sa: Male: Age 45 to 54 data is updated monthly, averaging 3.500 % from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 9.200 % in Nov 2009 and a record low of 1.200 % in Jun 1969. United States Unemployment Rate: sa: Male: Age 45 to 54 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G021: Current Population Survey: Unemployment Rate: Seasonally Adjusted.

Turkey TR: Unemployment Rate: % Change data was reported at -14.167 % in Mar 2018. This records a decrease from the previous number of -13.492 % for Feb 2018. Turkey TR: Unemployment Rate: % Change data is updated monthly, averaging 1.961 % from Jan 2006 (Median) to Mar 2018, with 147 observations. The data reached an all-time high of 51.648 % in Apr 2009 and a record low of -22.642 % in Sep 2011. Turkey TR: Unemployment Rate: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Turkey – Table TR.IMF.IFS: Labour Force, Employment and Unemployment.

Unemployment Rate in China decreased to 5.20 percent in September from 5.30 percent in August of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is a two-stage stratified cluster random sample. Stratification: Four levels of stratification were made: 1. Stratification by Governorates. 2. Stratification by type of locality which comprises: (a) Urban (b) Rural (c) Refugee Camps The sample size was about 7,627 households in the 52th round and 7,627 households in the 53th round, and 7,677 households in the 54th round and 7,694 households in the 55th round

Mode of data collection

Face-to-face [f2f]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate was 91.8% in 2009, and in quarters: First quarter 2009: 93.0% Second quarter 2009: 87.7% Third quarter 2009: 93.1% Fourth quarter 2009: 93.9%

Sampling error estimates

Detailed information on the sampling Error is available in the Survey Report.

Data appraisal

Detailed information on the data appraisal is available in the Survey Report