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The current value of the Employment Change in Poland is 0.2 %. The Employment Change in Poland decreased to 0.2 % on 6/1/2023, after it was 0.4 % on 5/1/2023. From 1/1/2006 to 5/1/2024, the average GDP in Poland was 1.72 %. The all-time high was reached on 1/1/2008 with 5.8 %, while the lowest value was recorded on 6/1/2020 with -3.3 %.
Employment Change ·
3 years
5 years
10 years
25 Years
Max
Employment Change | |
---|---|
1/1/2006 | 2.6 % |
2/1/2006 | 2.4 % |
3/1/2006 | 2.7 % |
4/1/2006 | 2.8 % |
5/1/2006 | 3 % |
6/1/2006 | 3.1 % |
7/1/2006 | 3.3 % |
8/1/2006 | 3.5 % |
9/1/2006 | 3.5 % |
10/1/2006 | 3.6 % |
11/1/2006 | 3.8 % |
12/1/2006 | 4.1 % |
1/1/2007 | 3.8 % |
2/1/2007 | 4.3 % |
3/1/2007 | 4.5 % |
4/1/2007 | 4.4 % |
5/1/2007 | 4.4 % |
6/1/2007 | 4.6 % |
7/1/2007 | 4.7 % |
8/1/2007 | 4.8 % |
9/1/2007 | 4.7 % |
10/1/2007 | 5 % |
11/1/2007 | 5 % |
12/1/2007 | 4.9 % |
1/1/2008 | 5.8 % |
2/1/2008 | 5.8 % |
3/1/2008 | 5.7 % |
4/1/2008 | 5.5 % |
5/1/2008 | 5.3 % |
6/1/2008 | 4.7 % |
7/1/2008 | 4.6 % |
8/1/2008 | 4.1 % |
9/1/2008 | 4 % |
10/1/2008 | 3.5 % |
11/1/2008 | 3 % |
12/1/2008 | 2.2 % |
1/1/2009 | 0.7 % |
5/1/2010 | 0.5 % |
6/1/2010 | 1.1 % |
7/1/2010 | 1.4 % |
8/1/2010 | 1.6 % |
9/1/2010 | 1.8 % |
10/1/2010 | 2.1 % |
11/1/2010 | 2.2 % |
12/1/2010 | 2.4 % |
1/1/2011 | 3.8 % |
2/1/2011 | 4.1 % |
3/1/2011 | 4.1 % |
4/1/2011 | 3.9 % |
5/1/2011 | 3.6 % |
6/1/2011 | 3.6 % |
7/1/2011 | 3.3 % |
8/1/2011 | 3.1 % |
9/1/2011 | 2.8 % |
10/1/2011 | 2.5 % |
11/1/2011 | 2.5 % |
12/1/2011 | 2.3 % |
1/1/2012 | 0.9 % |
2/1/2012 | 0.5 % |
3/1/2012 | 0.5 % |
4/1/2012 | 0.3 % |
5/1/2012 | 0.3 % |
6/1/2012 | 0.1 % |
11/1/2013 | 0.1 % |
12/1/2013 | 0.3 % |
2/1/2014 | 0.2 % |
3/1/2014 | 0.5 % |
4/1/2014 | 0.7 % |
5/1/2014 | 0.7 % |
6/1/2014 | 0.7 % |
7/1/2014 | 0.8 % |
8/1/2014 | 0.7 % |
9/1/2014 | 0.8 % |
10/1/2014 | 0.8 % |
11/1/2014 | 0.9 % |
12/1/2014 | 1.1 % |
1/1/2015 | 1.2 % |
2/1/2015 | 1.2 % |
3/1/2015 | 1.1 % |
4/1/2015 | 1.1 % |
5/1/2015 | 1.1 % |
6/1/2015 | 0.9 % |
7/1/2015 | 0.9 % |
8/1/2015 | 1 % |
9/1/2015 | 1 % |
10/1/2015 | 1.1 % |
11/1/2015 | 1.2 % |
12/1/2015 | 1.4 % |
1/1/2016 | 2.3 % |
2/1/2016 | 2.5 % |
3/1/2016 | 2.7 % |
4/1/2016 | 2.8 % |
5/1/2016 | 2.8 % |
6/1/2016 | 3.1 % |
7/1/2016 | 3.2 % |
8/1/2016 | 3.1 % |
9/1/2016 | 3.2 % |
10/1/2016 | 3.1 % |
11/1/2016 | 3.1 % |
12/1/2016 | 3.1 % |
1/1/2017 | 4.5 % |
2/1/2017 | 4.6 % |
3/1/2017 | 4.5 % |
4/1/2017 | 4.6 % |
5/1/2017 | 4.5 % |
6/1/2017 | 4.3 % |
7/1/2017 | 4.5 % |
8/1/2017 | 4.6 % |
9/1/2017 | 4.5 % |
10/1/2017 | 4.4 % |
11/1/2017 | 4.5 % |
12/1/2017 | 4.6 % |
1/1/2018 | 3.8 % |
2/1/2018 | 3.7 % |
3/1/2018 | 3.7 % |
4/1/2018 | 3.7 % |
5/1/2018 | 3.7 % |
6/1/2018 | 3.7 % |
7/1/2018 | 3.5 % |
8/1/2018 | 3.4 % |
9/1/2018 | 3.2 % |
10/1/2018 | 3.2 % |
11/1/2018 | 3 % |
12/1/2018 | 2.8 % |
1/1/2019 | 2.9 % |
2/1/2019 | 2.9 % |
3/1/2019 | 3 % |
4/1/2019 | 2.9 % |
5/1/2019 | 2.7 % |
6/1/2019 | 2.8 % |
7/1/2019 | 2.7 % |
8/1/2019 | 2.6 % |
9/1/2019 | 2.6 % |
10/1/2019 | 2.5 % |
11/1/2019 | 2.6 % |
12/1/2019 | 2.6 % |
1/1/2020 | 1.1 % |
2/1/2020 | 1.1 % |
3/1/2020 | 0.3 % |
4/1/2021 | 0.9 % |
5/1/2021 | 2.7 % |
6/1/2021 | 2.8 % |
7/1/2021 | 1.8 % |
8/1/2021 | 0.9 % |
9/1/2021 | 0.6 % |
10/1/2021 | 0.5 % |
11/1/2021 | 0.7 % |
12/1/2021 | 0.5 % |
1/1/2022 | 2.3 % |
2/1/2022 | 2.2 % |
3/1/2022 | 2.4 % |
4/1/2022 | 2.8 % |
5/1/2022 | 2.4 % |
6/1/2022 | 2.2 % |
7/1/2022 | 2.3 % |
8/1/2022 | 2.4 % |
9/1/2022 | 2.3 % |
10/1/2022 | 2.4 % |
11/1/2022 | 2.3 % |
12/1/2022 | 2.2 % |
1/1/2023 | 1.1 % |
2/1/2023 | 0.8 % |
3/1/2023 | 0.5 % |
4/1/2023 | 0.4 % |
5/1/2023 | 0.4 % |
6/1/2023 | 0.2 % |
Employment Change History
Date | Value |
---|---|
6/1/2023 | 0.2 % |
5/1/2023 | 0.4 % |
4/1/2023 | 0.4 % |
3/1/2023 | 0.5 % |
2/1/2023 | 0.8 % |
1/1/2023 | 1.1 % |
12/1/2022 | 2.2 % |
11/1/2022 | 2.3 % |
10/1/2022 | 2.4 % |
9/1/2022 | 2.3 % |
Similar Macro Indicators to Employment Change
Name | Current | Previous | Frequency |
---|---|---|---|
🇵🇱 Employed persons | 17.194 M | 17.323 M | Quarter |
🇵🇱 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 |
🇵🇱 Long-term unemployment rate | 0.8 % | 0.8 % | 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, employment growth refers to the annual change in employment within the enterprise sector, encompassing units that employ more than 9 individuals and engage in economic activities across various domains. These domains include forestry and logging, marine fishing, mining and quarrying, manufacturing, the supply of electricity, gas, steam, and air conditioning, water supply, sewerage, waste management, and remediation activities. Additional sectors covered are construction; wholesale and retail trade; repair of motor vehicles and motorcycles; transportation and storage; accommodation and food service activities; information and communication; real estate activities; legal and accounting activities; the operations of head offices; management consultancy activities; architectural and engineering activities; technical testing and analysis; advertising and market research; other professional, scientific, and technical activities; administrative and support service activities; arts, entertainment and recreation; repair of computers and personal and household goods; and other personal service activities.
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 Employment Change?
Employment Change is a critical macroeconomic indicator extensively analyzed and utilized by economists, policymakers, analysts, and market participants to comprehend the intricate dynamics of the labor market. As a poignant measure, Employment Change quantifies the net variation in the number of employed individuals within an economy over a specific period, typically on a monthly, quarterly, or annual basis. Published by various governmental bodies and statistical agencies, this indicator serves as a vital barometer for gauging economic health and labor market conditions. At Eulerpool, a premier destination for meticulously curated macroeconomic data, we emphasize the profound importance of the Employment Change data. Our platform is dedicated to providing precise, up-to-date figures that enable a comprehensive analysis of labor market trends, aiding our diverse clientele in making informed decisions. The fluctuations in employment levels captured by this indicator offer invaluable insights into the economic trajectory, productivity, and overall prosperity. Employment Change is intrinsically linked to numerous other economic indicators and variables, forming a complex web of causality and correlation. For instance, the interrelation between Employment Change and Gross Domestic Product (GDP) is well-documented. Positive employment changes signal an expanding workforce, boosting production capacities and escalating GDP, while negative changes often suggest economic downturns or contractions. Consequently, analysts often scrutinize Employment Change figures in conjunction with GDP data to form a holistic view of economic growth or decline. Furthermore, the data on Employment Change provides a direct lens into consumer confidence and spending power. As employment levels rise, disposable incomes increase, leading to heightened consumer spending and stimulating economic activity. Conversely, declining employment levels suppress consumer confidence and reduce spending, potentially leading to a downward economic spiral. In this context, businesses leverage Employment Change metrics to tailor marketing strategies, optimize inventory levels, and align production schedules with anticipated demand. From a policy perspective, Employment Change furnishes crucial insights for governmental and economic institutions in their pursuit of macroeconomic stability and growth. Central banks, for instance, monitor employment trends to inform monetary policy decisions, particularly interest rate adjustments. A robust employment report may prompt a central bank to hike interest rates to curtail inflationary pressures, while a weak report could lead to rate cuts aimed at stimulating borrowing and investment. Similarly, fiscal policymakers rely on employment data to design and implement tax policies, social welfare programs, and labor market interventions that bolster job creation and economic resilience. In financial markets, Employment Change figures wield significant influence over asset prices, investor sentiment, and trading strategies. A noteworthy uptick in employment can propel stock markets higher, reflecting optimism about corporate earnings and economic performance. Conversely, disappointing employment data can trigger market sell-offs, as investors brace for a potential economic slowdown. Traders and investment professionals closely track employment reports, often factoring these figures into their predictive models and decision-making frameworks to optimize portfolio performance. The methodological intricacies involved in the computation of Employment Change add to its credibility and robustness. Typically derived from large-scale surveys such as the Current Population Survey (CPS) in the United States or the Labour Force Survey (LFS) in the European Union, the data collection process encompasses extensive sample sizes, ensuring representativeness and accuracy. Employment Change calculations consider various employment categories, including full-time, part-time, and temporary positions, as well as industry-specific segmentation, providing a nuanced understanding of the labor market landscape. As an intricate and multifaceted economic indicator, Employment Change also sheds light on structural shifts within the economy. For instance, trends in employment change can reveal the burgeoning significance of certain sectors, such as technology or healthcare, and the concomitant decline of others, such as manufacturing or retail. These structural transformations have far-reaching implications for workforce skills, education policies, and economic planning, necessitating adaptive strategies from policymakers, educators, and businesses. At Eulerpool, our commitment to excellence is reflected in our comprehensive coverage and analysis of Employment Change data. We pride ourselves on presenting this pivotal indicator in a user-friendly format, complemented by intuitive visualizations and sophisticated analytical tools. By offering real-time updates and historical trends, we empower our users to track labor market dynamics, discern patterns, and draw actionable insights with unparalleled precision and confidence. In conclusion, Employment Change stands as a cornerstone of macroeconomic analysis, offering a wealth of information that extends beyond mere job numbers. It encapsulates the essence of economic vitality, consumer behavior, policy efficacy, and market movements. Whether you are an economist, policymaker, business leader, investor, or an academician, understanding and leveraging Employment Change data is indispensable for navigating the complexities of the contemporary economic landscape. At Eulerpool, we are dedicated to equipping you with the highest quality data and insights, enabling you to stay ahead in an ever-evolving economic environment.