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Germany Unemployed Persons

Price

2.823 M
Change +/-
+22,000
Percentage Change
+0.78 %

The current value of the Unemployed Persons in Germany is 2.823 M . The Unemployed Persons in Germany increased to 2.823 M on 9/1/2024, after it was 2.801 M on 8/1/2024. From 1/1/1950 to 10/1/2024, the average GDP in Germany was 2.09 M . The all-time high was reached on 3/1/2005 with 5.01 M , while the lowest value was recorded on 9/1/1965 with 84,970 .

Source: Bundesagentur für Arbeit

Unemployed Persons

  • 3 years

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Unemployed Persons

Unemployed Persons History

DateValue
9/1/20242.823 M
8/1/20242.801 M
7/1/20242.799 M
6/1/20242.784 M
5/1/20242.762 M
4/1/20242.732 M
3/1/20242.722 M
2/1/20242.716 M
1/1/20242.704 M
12/1/20232.701 M
1
2
3
4
5
...
90

Similar Macro Indicators to Unemployed Persons

NameCurrentPreviousFrequency
🇩🇪
Change in Unemployment
27,000 17,000 Monthly
🇩🇪
Employed persons
45.882 M 45.9 M Monthly
🇩🇪
Employment Change
-0.1 %0.1 %Quarter
🇩🇪
Employment rate
77.4 %77.1 %Quarter
🇩🇪
Full-time employment
29.224 M 29.435 M Quarter
🇩🇪
Harmonized Unemployment Rate
3.5 %3.5 %Monthly
🇩🇪
Job Opportunities
696,010 698,870 Monthly
🇩🇪
Job Vacancy Rate
3.1 %3.5 %Quarter
🇩🇪
Labor costs
115.54 points115.45 pointsQuarter
🇩🇪
Labor force participation rate
79.9 %80 %Quarter
🇩🇪
Long-term unemployment rate
0.9 %0.9 %Quarter
🇩🇪
Minimum Wages
12.41 EUR/Hour12 EUR/HourAnnually
🇩🇪
Part-time work
12.152 M 12.074 M Quarter
🇩🇪
Population
84.7 M 84.4 M Annually
🇩🇪
Productivity
92.6 points94.2 pointsMonthly
🇩🇪
Retirement Age Men
66 Years65.92 YearsAnnually
🇩🇪
Retirement Age Women
66 Years65.92 YearsAnnually
🇩🇪
Unemployment Rate
6 %6 %Monthly
🇩🇪
Wage Growth
3.1 %3.8 %Quarter
🇩🇪
Wages
4,100 EUR/Month3,975 EUR/MonthAnnually
🇩🇪
Wages in Manufacturing
100.44 points115.3 pointsMonthly
🇩🇪
Youth Unemployment Rate
6.9 %6.9 %Monthly

In Germany, unemployed individuals are those without a job who are actively seeking employment.

What is Unemployed Persons?

Understanding the "Unemployed Persons" Macro-Economic Category At Eulerpool, we take pride in offering comprehensive and reliable macroeconomic data. One significant macroeconomic indicator that serves a crucial function in evaluating a country's economic health is the "Unemployed Persons" metric. This data category delves into the total number of individuals within an economy who are without work but are actively seeking employment, and it is central for economists, policymakers, and business leaders to gauge the state of the labor market and broader economic trends. The "Unemployed Persons" category is not merely a statistic; it is a reflection of the broader economic dynamics. Understanding the intricacies of this metric provides valuable insights into various other economic phenomena, including consumer spending patterns, social welfare systems, and overall economic productivity. To comprehend why the rate of unemployed persons is so vital, it’s essential first to define what constitutes unemployment. In macroeconomic terms, an unemployed person is someone who is part of the labor force but currently lacks employment despite actively seeking work. This definition excludes individuals not actively searching for jobs, such as retirees, students, and those who have become discouraged and stopped looking for work. Tracking the number of unemployed persons helps economists monitor the employment sector's fluidity and resilience. Fluctuations in unemployment levels can indicate various economic conditions and potential turning points within an economy. For instance, an increasing number of unemployed persons can suggest economic contraction, where businesses reduce staffing to cope with decreased demand. Conversely, a shrinking unemployment figure typically accompanies periods of economic expansion, where businesses face heightened demand and subsequently hire more employees. One of the primary measures of unemployment is the unemployment rate, which is calculated by dividing the number of unemployed individuals by the total labor force, then multiplying by 100 to obtain a percentage. While the unemployment rate itself is useful, examining the raw number of unemployed persons can reveal more nuanced aspects of economic transitions, such as demographic shifts and regional disparities. A high number of unemployed persons has cascading effects on the economy. First, this situation leads to a decrease in household incomes and consequently lowers consumer spending, which is a primary driver of economic growth. A reduction in consumer spending can trigger further contractions as businesses face declining sales revenues, possibly resulting in additional layoffs and a perpetuating cycle of unemployment. Moreover, the socio-economic impact of high unemployment extends beyond reduced consumer expenditures. Increased unemployment burdens social welfare systems, requiring the state to allocate more resources toward unemployment benefits and social services. This can strain national budgets and necessitate shifts in public policy and fiscal management. Alongside, there are also psychological and societal effects to consider. High levels of unemployment can lead to increased rates of mental health issues, reduced social cohesion, and higher crime rates as individuals struggle to cope with financial hardships. Sectoral analysis of unemployed persons is another critical aspect. Different sectors vary in their vulnerability to economic upheavals. For instance, manufacturing and construction sectors often see more pronounced spikes in unemployment during economic downturns due to the cyclical nature of demand for their products and services. On the other hand, sectors like healthcare and education may experience more stability as they provide essential services that maintain demand irrespective of economic cycles. Demographic analysis further deepens our understanding. Examining unemployment figures across various age groups, genders, and educational backgrounds can uncover specific challenges within the labor market. For example, youth unemployment often stands at a higher rate compared to the general population, pointing to barriers that young people face in accessing the job market, such as lack of experience or skills mismatch. Gender disparities in unemployment rates may reflect broader issues of gender inequality in workplace opportunities and compensation. Regional analysis is equally crucial for a complete picture. Unemployment levels can vary significantly across different regions within a country. Areas heavily reliant on particular industries may suffer disproportionately during sectoral downturns. Regional policy interventions, like infrastructure projects or targeted business incentives, can help mitigate these effects and support economic recovery and diversification. Examining long-term trends in unemployment data can also provide foresight into potential structural shifts in the economy. A gradual decline in unemployment accompanied by rising employment in technology-centric sectors, for instance, may suggest a country's successful transition into a more advanced, knowledge-based economy. Finally, it is essential to consider external economic factors. Global economic trends, such as trade policies, international market demand, and technological innovations, significantly influence national unemployment levels. Understanding these global dynamics helps in anticipating future labor market shifts and preparing responses. In conclusion, the "Unemployed Persons" macroeconomic category is vital for a multi-dimensional view of a country's economic health. At Eulerpool, we offer detailed and up-to-date information on this and other economic indicators, empowering our users with the insights necessary for informed decision-making and strategic planning. By carefully analyzing the number of unemployed persons in conjunction with other data points, stakeholders can develop robust economic policies, corporate strategies, and social programs that better address current challenges and future opportunities within the labor market.