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.

This dataset shows the evolution of the unemployment rate in the regions of the European Union between 2008 and 2013.

The unemployment rate in the EU-28 fell from 9.3% in 2004 to 7.1% in 2008. Between 2008 and 2013, however, it rose to 10.9%, higher than at any time for which data are available (since 2000). In the EU-15, unemployment was 11.1% in 2013, which is also higher than at any time for which comparable figures are available.

EU-28 = 3.5; Source: Eurostat, DG REGIO

Italy's unemployment rate was 6.6 percent in 2024, the lowest value since 2008. Forecasts suggest that it will stabilize around six percent between 2025 and 2027. The regions with the highest unemployment rates were in the south. Campania, Calabria, and Sicily registered rates from 16.1 percent to 17.8 percent, a large difference when compared to the northern regions, as only 2.9 percent of residents in Trentino-South Tyrol were unemployed, the lowest share nationwide. Young people mostly impacted Figures about the youth unemployment rate show that the financial crisis impacted the young working population significantly. Between 2004 and 2007, the share of unemployed individuals aged 15 to 24 years was declining. Subsequently, between 2008 and 2014, the rate almost doubled. In this case, southern regions had the largest share of young people without a job. In Sicily, Campania, and Calabria, more than one third of the population aged between 15 and 24 years was unemployed in 2022. Women more often unemployed In most of the Italian regions, the share of young unemployed women was higher than that of young males. In both Campania and Sicily, 50 percent of women aged 15 to 24 years did not have a job. Sicily was the region in Italy with the highest rate of unemployed young men. In this region, 51 percent of males were unemployed, almost five times more than in Trentino-South Tyrol, where the unemployment rate of young men stood at around nine percent.

Total unemployed as a percentage of the 15-65-year-old population in 2008 at the level of the planning areas (status 1 - LOR)(Monitoring of social urban development 2009 at the LOR level)

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.

Unemployment Rate in Serbia decreased to 8.50 percent in the second quarter of 2025 from 9.10 percent in the first quarter of 2025. This dataset provides - Serbia Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly metrics on unemployment insurance from the Department of Labor, Licensing and Regulation.

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.

Youth Unemployment Rate in Serbia decreased to 22.80 percent in the second quarter of 2025 from 24.10 percent in the first quarter of 2025. This dataset provides - Serbia Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate - With a Disability - Historical chart and current data through 2025.

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.

Unemployment Rate in Greece decreased to 8.10 percent in August from 8.30 percent in July of 2025. This dataset provides the latest reported value for - Greece Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Serbia RS: Unemployment Rate: % Change data was reported at -13.609 % in 2016. This records a decrease from the previous number of -8.128 % for 2015. Serbia RS: Unemployment Rate: % Change data is updated yearly, averaging -4.064 % from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 21.053 % in 2011 and a record low of -22.222 % in 2008. Serbia RS: Unemployment Rate: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Serbia – Table RS.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

This is the monthly data for U.S. employment and unemployment by state including some numbers for Puerto Rico. This dataset was accessed on April 7th 2008. The data for February 2008 are preliminary. The data presented are seasonally adjusted although the unadjusted numbers are also available. Unavailable data are represented as -1. The dataset is taken from Tables 3 and 5 from the United States Department of Labor, Bureau of Labor Statistics. It includes the civilian labor force, the unemployed in numbers and percentages, and employment by industry. Data from table 3 "refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 08-01, dated November 20, 2007, and are available at http://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month". Data from table 5 "are counts of jobs by place of work. Estimates are currently projected from 2007 benchmark levels. Estimates subsequent to the current benchmarks are provisional and will be revised when new information becomes available. Data reflect the conversion to the 2007 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing NAICS 2002. For more details, see http://www.bls.gov/sae/saenaics07.htm.

Graph and download economic data for Unemployment Rate - 18 Years and over, Men (LNU04076980) from Dec 2008 to Aug 2025 about 18 years +, males, unemployment, rate, and USA.

Israel Unemployment: 2008 Census: Chained Linked: Seasonal Adjusted data was reported at 165.290 Person th in Sep 2018. This records an increase from the previous number of 161.200 Person th for Jun 2018. Israel Unemployment: 2008 Census: Chained Linked: Seasonal Adjusted data is updated quarterly, averaging 262.869 Person th from Mar 1995 (Median) to Sep 2018, with 95 observations. The data reached an all-time high of 404.425 Person th in Mar 2004 and a record low of 150.490 Person th in Mar 2018. Israel Unemployment: 2008 Census: Chained Linked: Seasonal Adjusted data remains active status in CEIC and is reported by Bank of Israel. The data is categorized under Global Database’s Israel – Table IL.G030: Unemployment: 2008 Census: Chain Linked: Bank of Israel.

Descriptiondata presented as spreadsheet; Provides an overview of the official unemployment rate by narrow definition across all provinces and metros in South Africa since 2008.Artefact TypeDataset (non-spatial)LineageThe data presented is extracted from Statistics South Africa (Stats SA) Quarterly Labour Force Survey (QLFS) trends as published on https://www.statssa.gov.za/Publication Date13 May 2025Data Sources / LayersQLFS Trends 2008-2025Q1, Stats SA, published 13 May 2025Terms of useNo special restrictions or limitations on using the item's content have been provided Contact PersonElize van der Berg, Department of the Premier, Elize.VanDerBerg@westerncape.gov.za

In 2010, unemployment rate in France reached a record level of 10.4 percent. Unemployment remains a rampant issue for French economy, being stagnant year-over-year since the financial and economical crisis in 2008. During the first quarter of 2018, more than 1.4 million people aged between 25 and 49 years were unemployed in France.

Change in unemployment since 2008

In 2008, year of the financial crisis, unemployment rate in France reached its lowest level since 2004. That year, France had an unemployment rate of 7.4 percent while, one year before it had reached 8 eight percent. Unemployment is an important economic factor for a country and a measure of a region’s economic health. Despite its low level in 2008, unemployment rate in France increased steadily between 2009 and 2016. In 2015, it even reached its highest level since the mid-2000s with a percentage of unemployed people among the French population which was of 10.4 percent. That year, unemployed people represented 11.5 percent of the urban population in France. However, French unemployment rate seemed to be experiencing improvements in recent years. In 2017, long-term employment rate decreased after several years of constant growth.

Unemployment in France and the EU

European markets were particularly affected by the 2008 global financial crisis and the recession which followed. Nevertheless, Unemployment rate in the EU reached 6.5 percent in January 2019, compared to 7.2 percent one year before and the number of unemployed persons in the European Union and the Euro area is declining since 2018. This improvement seems to be affecting France to a lesser extent. France was one of the EU members with the highest unemployment rate in 2019, and youth unemployment still reaches a record number in the country.

Switzerland Registered Unemployment Rate: NOGA 2008: SS: Mining and Quarrying data was reported at 1.400 % in Jun 2018. This records a decrease from the previous number of 1.500 % for May 2018. Switzerland Registered Unemployment Rate: NOGA 2008: SS: Mining and Quarrying data is updated monthly, averaging 1.700 % from Jan 2004 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 3.800 % in Jan 2013 and a record low of 0.600 % in Sep 2007. Switzerland Registered Unemployment Rate: NOGA 2008: SS: Mining and Quarrying data remains active status in CEIC and is reported by State Secretariat for Economic Affairs. The data is categorized under Global Database’s Switzerland – Table CH.G024: Registered Unemployment Rate: by NOGA 2008 Economic Sector.

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 2008 Employment and Unemployment Survey (EUS) during February, May, August and November 2008. 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.

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 2007 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).

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 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

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

• The SPSS 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 SPSS and then converted to STATA, to be disseminated.