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The current value of the Unemployment Change in Germany is 17,000 . The Unemployment Change in Germany increased to 17,000 on 9/1/2024, after it was 2,000 on 8/1/2024. From 1/1/1992 to 10/1/2024, the average GDP in Germany was 170.05 . The all-time high was reached on 4/1/2020 with 355,000 , while the lowest value was recorded on 5/1/2006 with -96,000 .
Unemployment Change ·
3 years
5 years
10 years
25 Years
Max
Change in Unemployment | |
---|---|
1/1/1992 | 162,000 |
4/1/1992 | 28,000 |
5/1/1992 | 34,000 |
6/1/1992 | 28,000 |
7/1/1992 | 54,000 |
8/1/1992 | 14,000 |
9/1/1992 | 6,000 |
10/1/1992 | 42,000 |
11/1/1992 | 28,000 |
12/1/1992 | 29,000 |
1/1/1993 | 26,000 |
2/1/1993 | 24,000 |
3/1/1993 | 48,000 |
4/1/1993 | 34,000 |
5/1/1993 | 64,000 |
6/1/1993 | 66,000 |
7/1/1993 | 98,000 |
8/1/1993 | 40,000 |
9/1/1993 | 67,000 |
10/1/1993 | 89,000 |
11/1/1993 | 17,000 |
1/1/1994 | 18,000 |
2/1/1994 | 11,000 |
3/1/1994 | 20,000 |
4/1/1994 | 9,000 |
5/1/1994 | 3,000 |
3/1/1995 | 5,000 |
4/1/1995 | 46,000 |
6/1/1995 | 42,000 |
7/1/1995 | 21,000 |
8/1/1995 | 22,000 |
9/1/1995 | 41,000 |
10/1/1995 | 24,000 |
11/1/1995 | 29,000 |
12/1/1995 | 56,000 |
1/1/1996 | 46,000 |
2/1/1996 | 78,000 |
3/1/1996 | 40,000 |
5/1/1996 | 2,000 |
6/1/1996 | 16,000 |
7/1/1996 | 20,000 |
8/1/1996 | 17,000 |
9/1/1996 | 41,000 |
10/1/1996 | 47,000 |
11/1/1996 | 45,000 |
12/1/1996 | 25,000 |
1/1/1997 | 180,000 |
4/1/1997 | 21,000 |
5/1/1997 | 70,000 |
6/1/1997 | 19,000 |
7/1/1997 | 26,000 |
8/1/1997 | 37,000 |
9/1/1997 | 33,000 |
10/1/1997 | 21,000 |
11/1/1998 | 10,000 |
12/1/1998 | 49,000 |
4/1/1999 | 2,000 |
5/1/1999 | 10,000 |
8/1/1999 | 9,000 |
2/1/2001 | 3,000 |
3/1/2001 | 11,000 |
5/1/2001 | 9,000 |
6/1/2001 | 31,000 |
7/1/2001 | 13,000 |
8/1/2001 | 14,000 |
9/1/2001 | 39,000 |
10/1/2001 | 34,000 |
11/1/2001 | 23,000 |
12/1/2001 | 15,000 |
1/1/2002 | 9,000 |
5/1/2002 | 83,000 |
6/1/2002 | 72,000 |
7/1/2002 | 2,000 |
9/1/2002 | 10,000 |
10/1/2002 | 41,000 |
11/1/2002 | 63,000 |
12/1/2002 | 54,000 |
1/1/2003 | 52,000 |
2/1/2003 | 46,000 |
3/1/2003 | 21,000 |
4/1/2003 | 14,000 |
5/1/2003 | 12,000 |
7/1/2003 | 9,000 |
11/1/2003 | 6,000 |
12/1/2003 | 15,000 |
2/1/2004 | 16,000 |
3/1/2004 | 10,000 |
4/1/2004 | 27,000 |
5/1/2004 | 9,000 |
6/1/2004 | 9,000 |
7/1/2004 | 27,000 |
8/1/2004 | 3,000 |
9/1/2004 | 25,000 |
10/1/2004 | 20,000 |
11/1/2004 | 32,000 |
12/1/2004 | 58,000 |
1/1/2005 | 264,000 |
2/1/2005 | 158,000 |
3/1/2005 | 58,000 |
1/1/2006 | 43,000 |
12/1/2008 | 34,000 |
1/1/2009 | 53,000 |
2/1/2009 | 41,000 |
3/1/2009 | 79,000 |
4/1/2009 | 86,000 |
6/1/2009 | 20,000 |
2/1/2010 | 7,000 |
12/1/2010 | 3,000 |
2/1/2012 | 11,000 |
4/1/2012 | 22,000 |
6/1/2012 | 8,000 |
7/1/2012 | 12,000 |
8/1/2012 | 2,000 |
10/1/2012 | 17,000 |
12/1/2012 | 12,000 |
1/1/2013 | 3,000 |
2/1/2013 | 8,000 |
3/1/2013 | 16,000 |
4/1/2013 | 12,000 |
5/1/2013 | 6,000 |
9/1/2013 | 6,000 |
10/1/2013 | 3,000 |
11/1/2013 | 8,000 |
5/1/2014 | 19,000 |
1/1/2015 | 3,000 |
7/1/2015 | 3,000 |
3/1/2016 | 7,000 |
9/1/2016 | 3,000 |
6/1/2017 | 2,000 |
1/1/2019 | 1,000 |
5/1/2019 | 59,000 |
7/1/2019 | 2,000 |
10/1/2019 | 12,000 |
12/1/2019 | 15,000 |
1/1/2020 | 9,000 |
4/1/2020 | 355,000 |
5/1/2020 | 232,000 |
6/1/2020 | 65,000 |
2/1/2021 | 12,000 |
6/1/2022 | 124,000 |
7/1/2022 | 51,000 |
8/1/2022 | 22,000 |
9/1/2022 | 15,000 |
10/1/2022 | 3,000 |
11/1/2022 | 14,000 |
1/1/2023 | 2,000 |
2/1/2023 | 7,000 |
3/1/2023 | 20,000 |
4/1/2023 | 23,000 |
5/1/2023 | 11,000 |
6/1/2023 | 31,000 |
7/1/2023 | 2,000 |
8/1/2023 | 21,000 |
9/1/2023 | 12,000 |
10/1/2023 | 29,000 |
11/1/2023 | 21,000 |
12/1/2023 | 6,000 |
1/1/2024 | 3,000 |
2/1/2024 | 13,000 |
3/1/2024 | 6,000 |
4/1/2024 | 10,000 |
5/1/2024 | 25,000 |
6/1/2024 | 20,000 |
7/1/2024 | 17,000 |
8/1/2024 | 2,000 |
9/1/2024 | 17,000 |
Unemployment Change History
Date | Value |
---|---|
9/1/2024 | 17,000 |
8/1/2024 | 2,000 |
7/1/2024 | 17,000 |
6/1/2024 | 20,000 |
5/1/2024 | 25,000 |
4/1/2024 | 10,000 |
3/1/2024 | 6,000 |
2/1/2024 | 13,000 |
1/1/2024 | 3,000 |
12/1/2023 | 6,000 |
Similar Macro Indicators to Unemployment Change
Name | Current | Previous | Frequency |
---|---|---|---|
🇩🇪 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 points | 115.45 points | Quarter |
🇩🇪 Labor force participation rate | 79.9 % | 80 % | Quarter |
🇩🇪 Long-term unemployment rate | 0.9 % | 0.9 % | Quarter |
🇩🇪 Minimum Wages | 12.41 EUR/Hour | 12 EUR/Hour | Annually |
🇩🇪 Part-time work | 12.152 M | 12.074 M | Quarter |
🇩🇪 Population | 84.7 M | 84.4 M | Annually |
🇩🇪 Productivity | 92.6 points | 94.2 points | Monthly |
🇩🇪 Retirement Age Men | 66 Years | 65.92 Years | Annually |
🇩🇪 Retirement Age Women | 66 Years | 65.92 Years | Annually |
🇩🇪 Unemployed Persons | 2.856 M | 2.823 M | Monthly |
🇩🇪 Unemployment Rate | 6 % | 6 % | Monthly |
🇩🇪 Wage Growth | 3.1 % | 3.8 % | Quarter |
🇩🇪 Wages | 4,100 EUR/Month | 3,975 EUR/Month | Annually |
🇩🇪 Wages in Manufacturing | 100.44 points | 115.3 points | Monthly |
🇩🇪 Youth Unemployment Rate | 6.9 % | 6.9 % | Monthly |
In Germany, unemployment change measures the absolute change in the number of unemployed individuals during the reporting month.
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Unemployment Change?
Unemployment Change: A Critical Analysis of Economic Health The dynamics of "Unemployment Change" serve as a pivotal indicator within the field of macroeconomics, reflecting the ebbs and flows of a nation's economic vitality. At Eulerpool, we are committed to providing in-depth, accurate macroeconomic data that empowers policymakers, researchers, and economists with the insights necessary to make informed decisions. This detailed exploration into Unemployment Change seeks to elucidate its causes, implications, and the nuanced statistics that frame this vital economic measure. Unemployment Change is a term used to describe the fluctuations in the number of unemployed individuals within a specific timeframe, typically measured monthly or quarterly. It encapsulates the variations in the unemployment rate, capturing the transition of individuals to and from employment status. These statistics are indispensable for evaluating labor market conditions, diagnosing economic health, and formulating fiscal and monetary policies. One must first comprehend that the labor force, comprising employed and unemployed individuals actively seeking work, is not a static entity. Unemployment Change is influenced by myriad factors including economic cycles, technological advancements, demographic shifts, and global economic trends. Cyclical changes, for instance, are closely tied to the business cycle. During economic expansion, businesses recognize increasing demand and often ramp up their workforce, resulting in a decline in unemployment. Conversely, in periods of recession, demand wanes, leading to layoffs and heightened unemployment. Structural changes also play a significant role. As economies evolve, certain industries grow while others contract. Technological innovations may render certain skill sets obsolete, necessitating workforce retraining and realignment. These structural adjustments frequently manifest as both short-term spikes and declines in unemployment figures. Additionally, demographic factors like population growth, aging, and migration can significantly influence unemployment trends. A growing population usually expands the labor force, which might initially increase unemployment if job creation does not keep pace. To grasp the full weight of Unemployment Change, one must consider its broader implications on economic policies and social outcomes. High unemployment rates are typically indicative of underutilized economic capacity, and they often exert downward pressure on wages. This scenario can curb consumer spending, further slowing economic growth. Prolonged high unemployment also bears social repercussions, such as increased poverty, reduced lifetime earnings, and potential skill degradation among the long-term unemployed, which diminishes their future employability. Governments and central banks vigilantly monitor unemployment rates and their changes to design appropriate policies. Reduction in unemployment inflation trade-off, understood through the Phillips Curve, is an area of keen interest. Policymakers strive to achieve a delicate balance, stimulating economic growth without triggering runaway inflation. Tools at their disposal include fiscal measures like government spending and tax adjustments, and monetary tools like interest rate management and quantitative easing. It is also pertinent to touch upon the variants of unemployment, such as frictional, structural, cyclical, and seasonal unemployment, each with unique characteristics and implications. Frictional unemployment arises from the natural turnover in the labor market as individuals transition between jobs. Structural unemployment is more deeply rooted in the mismatch between workers' skills and job requirements. Understanding these distinctions helps in devising targeted interventions. Furthermore, reliable data collection and analysis are quintessential to accurately measure and interpret Unemployment Change. Entities like the Bureau of Labor Statistics (BLS) in the United States compile comprehensive reports, usually through household surveys and establishment surveys. These data sources provide critical metrics, including the unemployment rate, labor force participation rate, and employment-population ratio, all of which when analyzed collectively offer a coherent picture of labor market conditions. For businesses and investors, an understanding of unemployment trends is equally crucial. Companies can forecast demand for their products and services based on employment trends, enabling more informed decisions regarding expansion, investment, and inventory management. Investors often use unemployment rates as a macroeconomic indicator to gauge the economic environment, influencing their decisions in equity markets, bond markets, and other investment vehicles. In recent times, the COVID-19 pandemic served as a stark reminder of the volatility inherent in unemployment figures. The global health crisis caused unprecedented spikes in unemployment rates worldwide as businesses shuttered and economic activities ground to a halt. The swift policy responses involving monetary easing, stimulus packages, and social safety nets were instrumental in mitigating the adverse impacts, underscoring the importance of timely and accurate unemployment data. Moving forward, as the global economy navigates challenges such as automation, climate change, and shifting geopolitical landscapes, monitoring and understanding Unemployment Change becomes increasingly vital. Automation and artificial intelligence, while boosting productivity, could also lead to significant labor displacement. Climate change adaptation measures might similarly reshape industries, necessitating a workforce skilled in new technologies and sustainable practices. Geopolitical shifts could disrupt labor markets through trade policies, migration, and international relations. In summary, Unemployment Change is a multifaceted indicator with profound implications for economic policy, business strategy, and societal well-being. Through precise measurement and analysis, it provides a window into the labor market's health and broader economic conditions. At Eulerpool, our commitment to delivering meticulous macroeconomic data ensures that stakeholders are well-equipped to navigate the complexities of the modern economy. As we continue to track and interpret these crucial metrics, our goal remains unwavering: to provide valuable, actionable insights that contribute to informed decision-making and, ultimately, to the prosperity and stability of the economies we monitor. Thank you for trusting Eulerpool as your resource for macroeconomic intelligence.