A series of recessions in the 1970s and 1980s meant that unemployment rates in some Western European countries rose to their highest levels since the Great Depression in the 1930s. While countries such as West Germany closed out the period of prosperity (known as the "Golden Age of Capitalism") with unemployment rates below one percent, figures rose gradually in the 1970s, and then furthermore in the 1980s. Throughout the 1960s and 1970s, the highest levels of unemployment in the listed countries were observed in Ireland and the United States; although the highest levels of unemployment in the 1980s were observed in Spain, during its transition to democracy. Of the major economic powers listed here, Japan saw the least amount of fluctuation, with a high of just 2.5 percent in the given periods; almost half of the U.S.' lowest unemployment figure in these periods.

The statistic shows the seasonally adjusted youth unemployment rate in EU member states as of November 2024. The source defines youth unemployment as unemployment of those younger than 25 years. In November 2024, the seasonally adjusted youth unemployment rate in Spain was at 26.6 percent. Youth unemployment rate in EU member states Unemployment is a crucial economic factor for a country; youth unemployment is often examined separately because it tends to be higher than unemployment in older age groups. It comprises the unemployment figures of a country’s labor force aged 15 to 24 years old (i.e. the earliest point at which mandatory school education ends). Typically, teenagers and those in their twenties who are fresh out of education do not find jobs right away, especially if the country’s economy is experiencing difficulties, as can be seen above. Additionally, it also tends to be higher in emerging markets than in industrialized nations. Worldwide, youth unemployment figures have not changed significantly over the last decade, nor are they expected to improve in the next few years. Youth unemployment is most prevalent in the Middle East and North Africa, even though these regions report high unemployment figures regardless (Zimbabwe and Turkmenistan are among the countries with the highest unemployment rates in the world, for example), and are also highly populated areas with a rather weak infrastructure, compared to industrialized regions. In the European Union and the euro area, unemployment in general has been on the rise since 2008, which is due to the economic crisis which caused bankruptcy and financial trouble for many employers, and thus led to considerable job loss, less job offerings, and consequently, to a rise of the unemployment rate. Older workers are struggling to find new jobs despite their experience, and young graduates are struggling to find new jobs, because they have none. All in all, the number of unemployed persons worldwide is projected to rise, this is not down to the economic crisis alone, but also the industrial automation of processes previously performed by workers, as well as rising population figures.

Unemployment Rate In the Euro Area increased to 6.30 percent in May from 6.20 percent in April of 2025. This dataset provides the latest reported value for - Euro Area Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment in the European Union has reached its low point in the twenty-first century in 2025. The share of the labour force out of work was slighly under 5.8 percent between January and March of that year, a marked decrease from its most recent peak of 7.8 percent in the Summer of 2020. While the jobs recovery has been strong in the wake of the Coronavirus pandemic in the EU, this number is still far above the remarkably low rate in the United States, which has reached 4.3 percent in 2024. Nevertheless, this recent decline is a positive development for the EU countries, many of which have long suffered from chronic unemployment issues. In some regional labour markets in the EU, the issue is now less of people who can't find work, but employers who cannot find employees, leading to labour shortages. The sick men of Europe Several EU member states have long had high unemployment rates, with the large numbers of people in long-term unemployment being particularly concerning. Italy, France, Greece, Spain, and Portugal have all had double-digit unemployment rates for significant amounts of time during this period, with the ability of people to freely migrate to other EU countries for work only marginally decreasing this. While these countries have long dealt with these issues due to their declining legacy industries and the struggle of competing in a liberalized, globalized economy, their unemployment rates reached their highest points following the global financial crisis, great recession, and Eurozone crisis. These interconnected crises led to a period of prolonged stagnation in their economies, with unemployment reaching as high as 25 percent in Greece, the worst affected economy.

Since the oil price shock in 1974 unemployment increased significantly and also did not really decline in periods of economic upswings in Europe. This is especially the case for the countries of the European Union; therefore we face a special need for explanation. Looking at the member states on finds considerable differences. Since 1977 the unemployment rate within the EU is higher than the average unemployment rate of all OECD countries. The economic upswing in the second half of the 80s relaxed the labor market but nevertheless the unemployment rate remained on a high level. This study deals with the development of unemployment between 1974 and 1993 in four different G7 countries: Germany, France, Great Britain and Italy.

Besides the common trend of an increasing unemployment rate, there are significantly different developments within the four countries. The analysis is divided in two parts: the first part looks at the reasons for the increase in unemployment in the considered countries; the second part aims to explain the difference between the developments of unemployment during economic cycles in the different countries.

After the description of similarities and differences of labor markets in the four countries it follows a long term analysis based on annual data as well as a short and medium term analysis on quarterly data. This is due to the fact that short and medium term developments are mainly influenced by cyclical economic developments but long term developments are mainly influenced by other factors like demographical and structural changes. A concrete question within this framework is if an increase in production potential can contribute to a decrease in unemployment.

For the long term analysis among others the Hysteresis-hypothesis (Hysteresis = Greek: to remain; denotes the remaining effect; in this context: remaining of unemployment) used for the explanation of the persistence of a high unemployment rate.

According to this approach consisting unemployment is barely decreased after economic recovery despite full utilization of capacity. According to the Hysteresis-hypothesis there are two reasons for this. The first reason is that for long term unemployed the abilities to work and the qualification level decreased, their human capital is partly devalued. The second reason is that employees give up wage restraint, because they do not fear unemployment anymore and therefore enforce higher real wages. Besides economic recovery companies are not willing to hire long term unemployed with a lower expected productivity for the higher established tariff wages. In the context of the empirical investigation a multiple explanatory approach is chosen which takes supply side and demand side factors into consideration.

The short and medium term analysis refers to Okun´s law (=an increase in the unemployment rate is connected with a decrease of the GDP; if the unemployment rate stays unchanged, the GDP grows with 3% p.a.) and aims to analyze more detailed the reactions of unemployment to economic cycles. A geometrical lag-model is compared with a lag-model ager Almon. This should ensure a precise as possible analysis of the Okun´s relations and coefficients.

Register of tables in HISTAT:

A.: Unemployment in the European G7 countries B.: Analysis of unemployment in the Federal Republic of Germany C.: Basic numbers: International comparison

A.: Unemployment in the European G7 countries A.1. Determinates of unemployment in the EU, Germany (1974-1993) A.2. Determinates of unemployment in the EU, France (1974-1993) A.3. Determinates of unemployment in the EU, Great Britain (1974-1993) A.4. Determinates of unemployment in the EU, Italy (1974-1993)

B: Analysis of unemployment in the Federal Republic of Germany B.1. Growth of unemployment in the Federal Republic of Germany (1984-1991) B.2. Output and unemployment in the Federal Republic of Germany (1961-1990)

C: Basic numbers: International comparison C.1. Unemployment in EU countries, the USA, Japan and Switzerland (1960-1996) C.2. Gainful employments in EU countries, the USA, Japan and Switzerland (after inland and residency concept) (1960-1996) C.3. Employees in EU countries, the USA and Japan (1960-1996) C.4. Population in EU countries, the USA and Japan (1960-1996)

We present a dynamic framework for the interaction between borrowing (liquidity) constraints and deviations of actual hours from desired hours, both measured by discrete-valued indicators, and estimate it as a system of dynamic binary and ordered probit models with panel data from the Panel Study of Income Dynamics. We analyze a household's propensity to be liquidity constrained by means of a dynamic binary probit model. We analyze qualitative aspects of the conditions of employment, namely whether the household head is involuntarily overemployed, voluntarily employed, or involuntarily underemployed or unemployed, by means of a dynamic ordered probit model. We focus on the possible interaction between the two types of constraints. We estimate these models jointly using maximum simulated likelihood, where we allow for individual random effects along with an autoregressive process for the general error term in each equation. A novel feature of our method is that it allows for the random effects to be correlated with regressors in a time-invariant fashion. Our results provide strong support for the basic theory of constrained behavior and the interaction between liquidity constraints and exogenous constraints on labor supply.

Among European Union countries in March 2025, Spain had the highest unemployment rate at 10.9 percent, followed by Finland at 9.4 percent. By contrast, Czechia has the lowest unemployment rate in Europe, at 2.6 percent. The overall rate of unemployment in the European Union was 5.8 percent in the same month - a historical low-point for unemployment in the EU, which had been at over 10 percent for much of the 2010s.

United States - Youth Unemployment Rate for Central Europe and the Baltics was 13.62% in January of 2024, according to the United States Federal Reserve. Historically, United States - Youth Unemployment Rate for Central Europe and the Baltics reached a record high of 30.03 in January of 2002 and a record low of 11.66 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Youth Unemployment Rate for Central Europe and the Baltics - last updated from the United States Federal Reserve on June of 2025.

This dataset provides values for UNEMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Unemployment Rate: Aged 15 and Over: All Persons for the European Union was 1.90% in December of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate: Aged 15 and Over: All Persons for the European Union reached a record high of 2.10 in December of 2006 and a record low of 0.90 in September of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate: Aged 15 and Over: All Persons for the European Union - last updated from the United States Federal Reserve on June of 2025.

This paper studies the joint dynamics of U.S. output and unemployment rate in a non-linear VAR model. The non-linearity is introduced through a feedback variable that endogenously augments the output lags of the VAR in recessionary phases. Sufficient conditions for the ergodicity of the model, potentially applying to a larger class of threshold models, are provided. The linear specification is rejected in favour of our threshold VAR. However, in the estimation the feedback is found to be statistically significant only on unemployment, while it transmits to output through its cross-correlation. This feedback effect from recessions generates important asymmetries in the propagation of shocks, a possible key to interpret the divergence in the measures of persistence in the literature. The regime-dependent persistence also explains the finding that the feedback from recession exerts a positive effect on the long-run growth rate of the economy, an empirical validation of the Schumpeterian macroeconomic theories.

This paper presents a structural estimation of a life cycle model with unemployment risk. The model allows for human capital depreciation during unemployment. It is estimated using German and US household-level data. The data suggest that the adverse impact of unemployment on individual productivity is important in both countries, but quantitatively more relevant in Germany. Moreover, simulations show that the combination of skill depreciation with the generous unemployment insurance system that was in place in Germany until recently is a key factor in explaining the differences in labour market performance between these countries.

The long-term unemployment rate expresses the number of long-term unemployed aged 15-74 as a percentage of the active population of the same age. Long-term unemployed (12 months and more) comprise persons aged at least 15, who are not living in collective households, who will be without work during the next two weeks, who would be available to start work within the next two weeks and who are seeking work (have actively sought employment at some time during the previous four weeks or are not seeking a job because they have already found a job to start later). The total active population (labour force) is the total number of the employed and unemployed population. The duration of unemployment is defined as the duration of a search for a job or as the period of time since the last job was held (if this period is shorter than the duration of the search for a job). The indicator is based on the EU Labour Force Survey. Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

The unemployment rate in fiscal year 2204 rose to 3.9 percent. The unemployment rate of the United States which has been steadily decreasing since the 2008 financial crisis, spiked to 8.1 percent in 2020 due to the COVID-19 pandemic. The annual unemployment rate of the U.S. since 1990 can be found here. Falling unemployment The unemployment rate, or the part of the U.S. labor force that is without a job, fell again in 2022 after peaking at 8.1 percent in 2020 - a rate that has not been seen since the years following the 2008 financial crisis. The financial crash caused unemployment in the U.S. to soar from 4.6 percent in 2007 to 9.6 percent in 2010. Since 2010, the unemployment rate had been steadily falling, meaning that more and more people are finding work, whether that be through full-time employment or part-time employment. However, the affects of the COVID-19 pandemic created a spike in unemployment across the country. U.S. unemployment in comparison Compared to unemployment rates in the European Union, U.S. unemployment is relatively low. Greece was hit particularly hard by the 2008 financial crisis and faced a government debt crisis that sent the Greek economy into a tailspin. Due to this crisis, and the added impact of the pandemic, Greece still has the highest unemployment rate in the European Union.

The statistic reflects the seasonally adjusted unemployment rate in member states of the European Union in November 2024. The seasonally adjusted unemployment rate in Spain in November 2024 was 11.2 percent.The unemployment rate represents the share of the unemployed in all potential employees available to the job market. Unemployment rates in the EU The unemployment rate is an important measure of a country or region’s economic health, and despite unemployment levels in the European Union falling slightly from a peak in early 2013 , they remain high, especially in comparison to what the rates were before the worldwide recession started in 2008. This confirms the continuing stagnation in European markets, which hits young job seekers particularly hard as they struggle to compete against older, more experienced workers for a job, suffering under jobless rates twice as high as general unemployment. Some companies, such as Microsoft and Fujitsu, have created thousands of jobs in some of the countries which have particularly dire unemployment rates, creating a beacon of hope. However, some industries such as information technology, face the conundrum of a deficit of qualified workers in the local unemployed work force, and have to hire workers from abroad instead of helping decrease the local unemployment rates. This skills mismatch has no quick solution, as workers require time for retraining to fill the openings in the growing science-, technology-, or engineering-based jobs, and too few students choose degrees that would help them obtain these positions. Worldwide unemployment also remains high, with the rates being worst in the Middle East and North Africa. Estimates by the International Labour Organization predict that the problem will stabilize in coming years, but not improve until at least 2017.

Estimates of Okun's coefficient are obtained using new estimates of cyclical GNP and cyclical unemployment rates for the post-war USA. Empirical estimates of the coefficient are near ?0.25, somewhat smaller in magnitude than other recent estimates obtained applying similar econometric techniques to different estimates of cyclical output and unemployment. Tests fail to reject the hypothesis of parameter stability across an hypothesized break between the third and fourth quarters of 1973, suggesting similar relationships between cyclical output and unemployment both before and after the supply shocks of the 1970s.

Unemployment Rate: Aged 15 and Over: All Persons for the European Union was 6.97% in January of 2025, according to the United States Federal Reserve. Historically, Unemployment Rate: Aged 15 and Over: All Persons for the European Union reached a record high of 6.97 in January of 2025 and a record low of 4.63 in October of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate: Aged 15 and Over: All Persons for the European Union - last updated from the United States Federal Reserve on June of 2025.

This scatter chart displays GDP (current US$) against unemployment (% of total labor force) in Europe. The data is about countries.

Unemployment Rate: Aged 15 and Over: Males for the European Union was 11.70% in December of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate: Aged 15 and Over: Males for the European Union reached a record high of 17.00 in January of 1990 and a record low of 8.90 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate: Aged 15 and Over: Males for the European Union - last updated from the United States Federal Reserve on July of 2025.

The long-term unemployment rate is the number of persons unemployed for 12 months or longer, expressed as a percentage of the labour force (the total number of people employed and unemployed). Unemployed persons are those aged 15 to 74 who meet all three of the following conditions: were not employed during the reference week; were available to start working within two weeks after the reference week; and have actively sought work in the four weeks prior to the reference week or have already found a job to begin within the next three months.

The MIP auxiliary indicator is expressed as a percentage of the active population aged 15 to 74 years. In the table, the values are also presented as changes over a three-year period (in percentage points). The data source is the quarterly EU Labour Force Survey (EU-LFS), which covers the resident population living in private households.