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The current value of the Long Term Unemployment Rate in Poland is 0.8 %. The Long Term Unemployment Rate in Poland increased to 0.8 % on 12/1/2023, after it was 0.7 % on 9/1/2023. From 6/1/1997 to 3/1/2024, the average GDP in Poland was 4.48 %. The all-time high was reached on 3/1/2003 with 11.6 %, while the lowest value was recorded on 3/1/2020 with 0.6 %.
Long Term Unemployment Rate ·
3 years
5 years
10 years
25 Years
Max
Long-term unemployment rate | |
---|---|
6/1/1997 | 5.1 % |
6/1/1998 | 4.7 % |
3/1/1999 | 5.2 % |
3/1/2000 | 7.2 % |
6/1/2000 | 7.3 % |
9/1/2000 | 7.3 % |
12/1/2000 | 7.9 % |
3/1/2001 | 8.8 % |
6/1/2001 | 9.2 % |
9/1/2001 | 9.1 % |
12/1/2001 | 9.6 % |
3/1/2002 | 10.8 % |
6/1/2002 | 10.9 % |
9/1/2002 | 11 % |
12/1/2002 | 11.2 % |
3/1/2003 | 11.6 % |
6/1/2003 | 10.7 % |
9/1/2003 | 10.9 % |
12/1/2003 | 10.9 % |
3/1/2004 | 10.7 % |
6/1/2004 | 10.3 % |
9/1/2004 | 10.4 % |
12/1/2004 | 9.9 % |
3/1/2005 | 10.6 % |
6/1/2005 | 10.6 % |
9/1/2005 | 10.2 % |
12/1/2005 | 9.9 % |
3/1/2006 | 9 % |
6/1/2006 | 8.1 % |
9/1/2006 | 7.5 % |
12/1/2006 | 6.8 % |
3/1/2007 | 6 % |
6/1/2007 | 5.1 % |
9/1/2007 | 4.5 % |
12/1/2007 | 4.1 % |
3/1/2008 | 2.7 % |
6/1/2008 | 2.5 % |
9/1/2008 | 2.2 % |
12/1/2008 | 2.1 % |
3/1/2009 | 2.5 % |
6/1/2009 | 2.5 % |
9/1/2009 | 2.8 % |
12/1/2009 | 2.5 % |
3/1/2010 | 3 % |
6/1/2010 | 3.1 % |
9/1/2010 | 3.2 % |
12/1/2010 | 3.3 % |
3/1/2011 | 3.5 % |
6/1/2011 | 3.6 % |
9/1/2011 | 3.8 % |
12/1/2011 | 3.9 % |
3/1/2012 | 4.1 % |
6/1/2012 | 4.1 % |
9/1/2012 | 4.2 % |
12/1/2012 | 4.4 % |
3/1/2013 | 4.5 % |
6/1/2013 | 4.5 % |
9/1/2013 | 4.5 % |
12/1/2013 | 4.5 % |
3/1/2014 | 4.4 % |
6/1/2014 | 4.1 % |
9/1/2014 | 3.8 % |
12/1/2014 | 3.5 % |
3/1/2015 | 3.4 % |
6/1/2015 | 3.1 % |
9/1/2015 | 2.8 % |
12/1/2015 | 2.7 % |
3/1/2016 | 2.5 % |
6/1/2016 | 2.2 % |
9/1/2016 | 2.1 % |
12/1/2016 | 1.9 % |
3/1/2017 | 1.7 % |
6/1/2017 | 1.5 % |
9/1/2017 | 1.5 % |
12/1/2017 | 1.4 % |
3/1/2018 | 1.2 % |
6/1/2018 | 1.1 % |
9/1/2018 | 1 % |
12/1/2018 | 1 % |
3/1/2019 | 0.8 % |
6/1/2019 | 0.7 % |
9/1/2019 | 0.7 % |
12/1/2019 | 0.7 % |
3/1/2020 | 0.6 % |
6/1/2020 | 0.6 % |
9/1/2020 | 0.7 % |
12/1/2020 | 0.7 % |
3/1/2021 | 0.8 % |
6/1/2021 | 0.9 % |
9/1/2021 | 0.9 % |
12/1/2021 | 0.9 % |
3/1/2022 | 0.9 % |
6/1/2022 | 0.9 % |
9/1/2022 | 0.9 % |
12/1/2022 | 0.8 % |
3/1/2023 | 0.8 % |
6/1/2023 | 0.7 % |
9/1/2023 | 0.7 % |
12/1/2023 | 0.8 % |
Long Term Unemployment Rate History
Date | Value |
---|---|
12/1/2023 | 0.8 % |
9/1/2023 | 0.7 % |
6/1/2023 | 0.7 % |
3/1/2023 | 0.8 % |
12/1/2022 | 0.8 % |
9/1/2022 | 0.9 % |
6/1/2022 | 0.9 % |
3/1/2022 | 0.9 % |
12/1/2021 | 0.9 % |
9/1/2021 | 0.9 % |
Similar Macro Indicators to Long Term Unemployment Rate
Name | Current | Previous | Frequency |
---|---|---|---|
🇵🇱 Employed persons | 17.194 M | 17.323 M | Quarter |
🇵🇱 Employment Change | -0.5 % | -0.4 % | Monthly |
🇵🇱 Employment rate | 72.3 % | 72.7 % | Quarter |
🇵🇱 Full-time employment | 15.803 M | 15.917 M | Quarter |
🇵🇱 Job Opportunities | 69,400 | 65,000 | Monthly |
🇵🇱 Job Vacancy Rate | 0.9 % | 0.8 % | Quarter |
🇵🇱 Labor costs | 160.817 points | 143.503 points | Quarter |
🇵🇱 Labor force participation rate | 58.3 % | 57.8 % | Quarter |
🇵🇱 Minimum Wages | 997.91 EUR/Month | 977.53 EUR/Month | Quarter |
🇵🇱 Part-time work | 956,600 | 972,700 | Quarter |
🇵🇱 Population | 36.621 M | 36.754 M | Annually |
🇵🇱 Productivity | 128.669 points | 126.025 points | Quarter |
🇵🇱 Retirement Age Men | 65 Years | 65 Years | Annually |
🇵🇱 Retirement Age Women | 60 Years | 60 Years | Annually |
🇵🇱 Unemployed Persons | 776,600 | 797,100 | Monthly |
🇵🇱 Unemployment Rate | 5 % | 5.1 % | Monthly |
🇵🇱 Wage Growth | 11 % | 11.4 % | Monthly |
🇵🇱 Wages | 8,147.38 PLN/Month | 7,540.36 PLN/Month | Quarter |
🇵🇱 Wages in Manufacturing | 7,457.35 PLN/Month | 7,330.26 PLN/Month | Monthly |
🇵🇱 Youth Unemployment Rate | 11.8 % | 11.8 % | Monthly |
In Poland, the long-term unemployment rate denotes the proportion of individuals who have been unemployed for 12 months or longer relative to the total number of active participants (those who are either employed or unemployed) in the labor market. This information is provided by Eulerpool.
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
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Long Term Unemployment Rate?
Long term unemployment rate is a critical macroeconomic indicator that provides insightful implications about the health and stability of an economy. At Eulerpool, we are dedicated to presenting complex economic data in a way that is both accessible and informative. Through our analysis of the long-term unemployment rate, we aim to shed light on its causes, consequences, and the broader economic context that it reflects. The long-term unemployment rate specifically refers to the proportion of the labor force that has been unemployed for an extended period—typically defined as 27 weeks or longer. This metric is crucial because it captures the more persistent and chronic aspects of unemployment, which can be largely impervious to short-term economic fluctuations and policy measures. Unlike transient unemployment, which might occur due to temporary layoffs or seasonal work cycles, long-term unemployment indicates deeper, structural issues within the labor market. Understanding the significance of the long-term unemployment rate requires a deep dive into various factors that contribute to its prevalence. One primary driver is economic recessions. During a recession, many businesses downsize or shut down completely, leading to a sharp increase in job losses. While some of these jobs may return as the economy recovers, others do not, leaving a segment of the populace in prolonged unemployment. This phenomenon was notably observed during the Great Recession of 2008–2009, wherein long-term unemployment rates saw a dramatic increase worldwide. Another contributing factor to long-term unemployment is the skills mismatch in the labor market. As industries evolve and technological advancements reshape the landscape of work, there is a growing demand for specialized skill sets. Workers whose skills have become obsolete or are not aligned with current market needs find it particularly challenging to secure new employment. This issue is exacerbated when educational and vocational training systems fail to keep pace with industry changes, creating a gap that public policy struggles to fill. Demographic structures also play a significant role in influencing long-term unemployment rates. Certain populations, such as older workers, racial minorities, and individuals with lower educational attainment, are more susceptible to long-term joblessness. Older workers, for instance, may struggle to re-enter the workforce due to age discrimination or because their job-specific skills are no longer in demand. Similarly, systemic inequalities and limited access to quality education further entrench long-term unemployment among marginalized communities. The implications of a high long-term unemployment rate are far-reaching, affecting not only individuals but also the broader economy and society. Prolonged unemployment has severe financial repercussions for individuals, including loss of income, depletion of savings, and an increased likelihood of falling into poverty. Beyond financial strain, there are psychological and social consequences, such as diminished self-esteem, increased stress, and a greater risk of mental health issues. These individual-level impacts collectively hinder overall economic productivity and growth. From a macroeconomic perspective, high long-term unemployment places significant pressure on public resources and social safety nets. Governments may have to offset this burden through increased welfare spending, unemployment benefits, and other forms of social assistance. This, in turn, can strain public finances and limit the capacity for infrastructural investments and other developmental projects. Additionally, long-term unemployment can lead to a depreciation of human capital—a scenario where the skills and experiences of the unemployed deteriorate over time, making it even harder for them to reintegrate into the workforce. Effective policy measures to combat long-term unemployment need to be multi-faceted and forward-looking. Short-term solutions like fiscal stimulus packages and temporary job programs can provide immediate relief but often fall short in addressing structural issues. Long-term strategies should focus on education and vocational training tailored to current and future industry needs. Promoting lifelong learning and continuous skill development can help ensure that workers remain employable throughout their careers. Moreover, combating discrimination in the labor market and ensuring equitable access to opportunities are essential for reducing disparities in unemployment rates among different demographic groups. Public policies that encourage inclusive hiring practices and provide support for disadvantaged populations can make a significant difference. For instance, targeted skill development programs and incentives for businesses to hire older or minority workers can help mitigate the risks of long-term unemployment within these groups. Furthermore, understanding and adapting to global economic trends is vital for reducing long-term unemployment. As globalization, automation, and digitalization continue to transform the economic landscape, countries must be proactive in preparing their labor forces for the jobs of the future. This involves not only upgrading the current workforce's skills but also fostering innovation and entrepreneurship to create new employment opportunities. At Eulerpool, we recognize the complexity and importance of analyzing long-term unemployment rates. By providing comprehensive data and expert insights, we aim to equip policymakers, researchers, and the public with the knowledge needed to tackle this pressing economic issue. We emphasize the importance of data-driven decision-making, wherein accurate and up-to-date information on long-term unemployment trends can guide effective policy interventions and economic strategies. In conclusion, the long-term unemployment rate serves as a vital barometer of economic health, reflecting underlying structural challenges and the efficacy of labor market policies. Addressing long-term unemployment requires a holistic approach that encompasses education, equitable opportunities, adaptive policies, and forward-looking economic planning. At Eulerpool, we are committed to offering detailed and accessible macroeconomic data to support these efforts and promote informed and effective economic decision-making.