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The current value of the Unemployment Change in Portugal is 5,349 persons. The Unemployment Change in Portugal decreased to 5,349 persons on 12/1/2023, after it was 8,954 persons on 11/1/2023. From 2/1/2003 to 5/1/2024, the average GDP in Portugal was -360.7 persons. The all-time high was reached on 4/1/2020 with 48,562 persons, while the lowest value was recorded on 5/1/2014 with -31,613 persons.
Unemployment Change ·
3 years
5 years
10 years
25 Years
Max
Change in Unemployment | |
---|---|
2/1/2003 | 9,895 persons |
3/1/2003 | 8,561 persons |
4/1/2003 | 2,537 persons |
7/1/2003 | 5,230 persons |
8/1/2003 | 1,516 persons |
9/1/2003 | 19,777 persons |
10/1/2003 | 7,249 persons |
11/1/2003 | 5,810 persons |
1/1/2004 | 11,908 persons |
2/1/2004 | 3,090 persons |
3/1/2004 | 3,549 persons |
7/1/2004 | 1,412 persons |
8/1/2004 | 3,669 persons |
9/1/2004 | 16,769 persons |
10/1/2004 | 1,280 persons |
11/1/2004 | 3,381 persons |
1/1/2005 | 14,595 persons |
2/1/2005 | 4,176 persons |
8/1/2005 | 4,476 persons |
9/1/2005 | 17,660 persons |
10/1/2005 | 2,182 persons |
11/1/2005 | 1,581 persons |
1/1/2006 | 11,811 persons |
9/1/2006 | 11,944 persons |
10/1/2006 | 4,292 persons |
11/1/2006 | 4,700 persons |
1/1/2007 | 4,983 persons |
7/1/2007 | 952 persons |
8/1/2007 | 2,467 persons |
9/1/2007 | 5,890 persons |
10/1/2007 | 865 persons |
1/1/2008 | 9,394 persons |
8/1/2008 | 8,168 persons |
9/1/2008 | 5,299 persons |
10/1/2008 | 5,571 persons |
11/1/2008 | 7,784 persons |
12/1/2008 | 7,407 persons |
1/1/2009 | 31,961 persons |
2/1/2009 | 21,333 persons |
3/1/2009 | 14,832 persons |
4/1/2009 | 7,504 persons |
6/1/2009 | 705 persons |
7/1/2009 | 6,863 persons |
8/1/2009 | 4,980 persons |
9/1/2009 | 8,693 persons |
10/1/2009 | 7,170 persons |
11/1/2009 | 6,154 persons |
12/1/2009 | 994 persons |
1/1/2010 | 35,638 persons |
2/1/2010 | 1,003 persons |
3/1/2010 | 10,439 persons |
8/1/2010 | 1,587 persons |
9/1/2010 | 6,166 persons |
1/1/2011 | 15,404 persons |
7/1/2011 | 5,413 persons |
8/1/2011 | 9,254 persons |
9/1/2011 | 20,714 persons |
10/1/2011 | 13,164 persons |
11/1/2011 | 16,170 persons |
12/1/2011 | 21,714 persons |
1/1/2012 | 32,528 persons |
2/1/2012 | 10,356 persons |
3/1/2012 | 13,385 persons |
6/1/2012 | 4,733 persons |
7/1/2012 | 9,387 persons |
8/1/2012 | 18,079 persons |
9/1/2012 | 10,136 persons |
10/1/2012 | 11,443 persons |
11/1/2012 | 2,789 persons |
12/1/2012 | 12,863 persons |
1/1/2013 | 29,410 persons |
8/1/2013 | 6,966 persons |
9/1/2013 | 2,231 persons |
1/1/2014 | 14,792 persons |
8/1/2014 | 12,534 persons |
12/1/2014 | 498 persons |
1/1/2015 | 17,073 persons |
8/1/2015 | 3,883 persons |
9/1/2015 | 2,132 persons |
10/1/2015 | 3,317 persons |
11/1/2015 | 8,220 persons |
12/1/2015 | 4,917 persons |
1/1/2016 | 15,213 persons |
2/1/2016 | 5,619 persons |
8/1/2016 | 1,100 persons |
1/1/2017 | 12,174 persons |
8/1/2017 | 1,960 persons |
11/1/2017 | 61 persons |
1/1/2018 | 11,768 persons |
8/1/2018 | 7,560 persons |
9/1/2018 | 788 persons |
11/1/2018 | 656 persons |
12/1/2018 | 4,138 persons |
1/1/2019 | 11,737 persons |
8/1/2019 | 7,040 persons |
11/1/2019 | 5,942 persons |
12/1/2019 | 4,521 persons |
1/1/2020 | 10,076 persons |
3/1/2020 | 28,199 persons |
4/1/2020 | 48,562 persons |
5/1/2020 | 16,611 persons |
7/1/2020 | 637 persons |
8/1/2020 | 2,029 persons |
9/1/2020 | 843 persons |
12/1/2020 | 3,967 persons |
1/1/2021 | 22,105 persons |
2/1/2021 | 7,484 persons |
3/1/2021 | 1,008 persons |
12/1/2021 | 2,075 persons |
1/1/2022 | 7,909 persons |
8/1/2022 | 5,381 persons |
9/1/2022 | 4,393 persons |
10/1/2022 | 1,885 persons |
11/1/2022 | 7,598 persons |
12/1/2022 | 10,282 persons |
1/1/2023 | 15,081 persons |
7/1/2023 | 6,588 persons |
8/1/2023 | 11,031 persons |
9/1/2023 | 4,752 persons |
10/1/2023 | 3,243 persons |
11/1/2023 | 8,954 persons |
12/1/2023 | 5,349 persons |
Unemployment Change History
Date | Value |
---|---|
12/1/2023 | 5,349 persons |
11/1/2023 | 8,954 persons |
10/1/2023 | 3,243 persons |
9/1/2023 | 4,752 persons |
8/1/2023 | 11,031 persons |
7/1/2023 | 6,588 persons |
1/1/2023 | 15,081 persons |
12/1/2022 | 10,282 persons |
11/1/2022 | 7,598 persons |
10/1/2022 | 1,885 persons |
Similar Macro Indicators to Unemployment Change
Name | Current | Previous | Frequency |
---|---|---|---|
🇵🇹 Employed persons | 5.009 M | 5.029 M | Monthly |
🇵🇹 Employment Change | 1.1 % | -0.1 % | Quarter |
🇵🇹 Employment rate | 56.9 % | 57.4 % | Quarter |
🇵🇹 Full-time employment | 4.58 M | 4.606 M | Quarter |
🇵🇹 Job Opportunities | 10,073 | 9,924 | Monthly |
🇵🇹 Job Vacancy Rate | 1.2 % | 1.3 % | Quarter |
🇵🇹 Labor costs | 127.926 points | 143.73 points | Quarter |
🇵🇹 Labor force participation rate | 61 % | 61.1 % | Quarter |
🇵🇹 Long-term unemployment rate | 2.3 % | 2.4 % | Quarter |
🇵🇹 Minimum Wages | 956.67 EUR/Month | 956.67 EUR/Month | Quarter |
🇵🇹 Part-time work | 400,600 | 409,100 | Quarter |
🇵🇹 Population | 10.64 M | 10.517 M | Annually |
🇵🇹 Productivity | 113.257 points | 111.947 points | Quarter |
🇵🇹 Retirement Age Men | 66.33 Years | 66.33 Years | Annually |
🇵🇹 Retirement Age Women | 66.33 Years | 66.33 Years | Annually |
🇵🇹 Unemployed Persons | 340,500 | 338,000 | Monthly |
🇵🇹 Unemployment Rate | 6.7 % | 6.5 % | Monthly |
🇵🇹 Wage Growth | 5.5 % | 5.9 % | Monthly |
🇵🇹 Wages | 1,049 EUR/Month | 1,046 EUR/Month | Quarter |
🇵🇹 Wages in Manufacturing | 132.61 points | 177.36 points | Monthly |
🇵🇹 Youth Unemployment Rate | 22.9 % | 23.3 % | Monthly |
In Portugal, the metric for unemployment change quantifies the variation in the number of registered unemployed individuals compared to the preceding 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
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇷🇴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.