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The current value of the Productivity in Hungary is 117.486 Points. The Productivity in Hungary increased to 117.486 Points on 12/1/2023, after it was 117.04 Points on 9/1/2023. From 3/1/1995 to 3/1/2024, the average GDP in Hungary was 91.34 Points. The all-time high was reached on 6/1/2022 with 118.03 Points, while the lowest value was recorded on 9/1/1996 with 61.75 Points.
Productivity ·
3 years
5 years
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25 Years
Max
Productivity | |
---|---|
3/1/1995 | 61.91 points |
6/1/1995 | 61.9 points |
9/1/1995 | 62.04 points |
12/1/1995 | 61.9 points |
3/1/1996 | 62.77 points |
6/1/1996 | 61.92 points |
9/1/1996 | 61.75 points |
12/1/1996 | 62.29 points |
3/1/1997 | 62.55 points |
6/1/1997 | 63.29 points |
9/1/1997 | 63.42 points |
12/1/1997 | 63.62 points |
3/1/1998 | 64.6 points |
6/1/1998 | 65.52 points |
9/1/1998 | 66.09 points |
12/1/1998 | 65.77 points |
3/1/1999 | 64.83 points |
6/1/1999 | 65.34 points |
9/1/1999 | 66.34 points |
12/1/1999 | 68.04 points |
3/1/2000 | 68.23 points |
6/1/2000 | 68.59 points |
9/1/2000 | 69.29 points |
12/1/2000 | 69.85 points |
3/1/2001 | 71.32 points |
6/1/2001 | 72.59 points |
9/1/2001 | 73.35 points |
12/1/2001 | 74.53 points |
3/1/2002 | 75.84 points |
6/1/2002 | 76.47 points |
9/1/2002 | 77.47 points |
12/1/2002 | 78.6 points |
3/1/2003 | 79.31 points |
6/1/2003 | 79.56 points |
9/1/2003 | 80.62 points |
12/1/2003 | 80.91 points |
3/1/2004 | 82.65 points |
6/1/2004 | 84.67 points |
9/1/2004 | 86.11 points |
12/1/2004 | 87.38 points |
3/1/2005 | 89.02 points |
6/1/2005 | 90.39 points |
9/1/2005 | 91.16 points |
12/1/2005 | 92.09 points |
3/1/2006 | 92.38 points |
6/1/2006 | 93.97 points |
9/1/2006 | 94.65 points |
12/1/2006 | 95.47 points |
3/1/2007 | 95.04 points |
6/1/2007 | 95.66 points |
9/1/2007 | 96.74 points |
12/1/2007 | 97.82 points |
3/1/2008 | 98.73 points |
6/1/2008 | 99.97 points |
9/1/2008 | 99.94 points |
12/1/2008 | 98.03 points |
3/1/2009 | 94.87 points |
6/1/2009 | 95.97 points |
9/1/2009 | 97.4 points |
12/1/2009 | 96.94 points |
3/1/2010 | 97.09 points |
6/1/2010 | 97.71 points |
9/1/2010 | 98.18 points |
12/1/2010 | 97.65 points |
3/1/2011 | 100.5 points |
6/1/2011 | 99.79 points |
9/1/2011 | 99.54 points |
12/1/2011 | 101.19 points |
3/1/2012 | 98.52 points |
6/1/2012 | 98.24 points |
9/1/2012 | 98.71 points |
12/1/2012 | 98.26 points |
3/1/2013 | 99.33 points |
6/1/2013 | 98.74 points |
9/1/2013 | 99.62 points |
12/1/2013 | 98.96 points |
3/1/2014 | 98.05 points |
6/1/2014 | 98.49 points |
9/1/2014 | 98.05 points |
12/1/2014 | 98.54 points |
3/1/2015 | 100.4 points |
6/1/2015 | 100.45 points |
9/1/2015 | 99.53 points |
12/1/2015 | 99.62 points |
3/1/2016 | 97.42 points |
6/1/2016 | 97.14 points |
9/1/2016 | 98.09 points |
12/1/2016 | 98.53 points |
3/1/2017 | 99.43 points |
6/1/2017 | 100.22 points |
9/1/2017 | 100.6 points |
12/1/2017 | 101.58 points |
3/1/2018 | 103.03 points |
6/1/2018 | 103.63 points |
9/1/2018 | 104.87 points |
12/1/2018 | 105.91 points |
3/1/2019 | 107.53 points |
6/1/2019 | 107.96 points |
9/1/2019 | 109.14 points |
12/1/2019 | 110.22 points |
3/1/2020 | 110.75 points |
6/1/2020 | 108.36 points |
9/1/2020 | 109.09 points |
12/1/2020 | 110.8 points |
3/1/2021 | 112.42 points |
6/1/2021 | 113.5 points |
9/1/2021 | 113.79 points |
12/1/2021 | 116.45 points |
3/1/2022 | 117 points |
6/1/2022 | 118.03 points |
9/1/2022 | 116.82 points |
12/1/2022 | 115.56 points |
3/1/2023 | 115.56 points |
6/1/2023 | 116.35 points |
9/1/2023 | 117.04 points |
12/1/2023 | 117.49 points |
Productivity History
Date | Value |
---|---|
12/1/2023 | 117.486 Points |
9/1/2023 | 117.04 Points |
6/1/2023 | 116.345 Points |
3/1/2023 | 115.559 Points |
12/1/2022 | 115.56 Points |
9/1/2022 | 116.821 Points |
6/1/2022 | 118.027 Points |
3/1/2022 | 117 Points |
12/1/2021 | 116.447 Points |
9/1/2021 | 113.789 Points |
Similar Macro Indicators to Productivity
Name | Current | Previous | Frequency |
---|---|---|---|
🇭🇺 Employed persons | 4.745 M | 4.745 M | Monthly |
🇭🇺 Employment Change | 0.3 % | 0.1 % | Quarter |
🇭🇺 Employment rate | 65.165 % | 65.217 % | Monthly |
🇭🇺 Full-time employment | 4.4 M | 4.417 M | Quarter |
🇭🇺 Job Opportunities | 70,125 | 74,450 | Quarter |
🇭🇺 Job Vacancy Rate | 2.2 % | 2.2 % | Quarter |
🇭🇺 Labor costs | 193.724 points | 167.984 points | Quarter |
🇭🇺 Labor force participation rate | 68.291 % | 68.328 % | Monthly |
🇭🇺 Long-term unemployment rate | 1.5 % | 1.5 % | Quarter |
🇭🇺 Minimum Wages | 675.27 EUR/Month | 675.27 EUR/Month | Quarter |
🇭🇺 Part-time work | 195,100 | 197,400 | Quarter |
🇭🇺 Population | 9.6 M | 9.69 M | Annually |
🇭🇺 Retirement Age Men | 65 Years | 65 Years | Annually |
🇭🇺 Retirement Age Women | 65 Years | 65 Years | Annually |
🇭🇺 Unemployed Persons | 218,653 | 224,213 | Monthly |
🇭🇺 Unemployment Rate | 4.3 % | 4.4 % | Monthly |
🇭🇺 Wage Growth | 13.5 % | 13.9 % | Monthly |
🇭🇺 Wages | 652,047 HUF/Month | 645,265 HUF/Month | Monthly |
🇭🇺 Youth Unemployment Rate | 12.7 % | 13.1 % | Monthly |
In Hungary, productivity denotes real labor productivity per hour worked.
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
- 🇮🇸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 Productivity?
Productivity is one of the most pivotal and extensively analyzed facets within the realm of macroeconomics. At Eulerpool, a platform committed to offering comprehensive macroeconomic data, the detailed examination of productivity enables our users to delve into the intricate mechanisms that underpin economic growth and influence welfare standards across diverse economies. Within this context, the productivity category serves as a cornerstone to understanding the economic health and potential of a nation through the evaluation of outputs relative to inputs. The essence of productivity lies in assessing how effectively economic inputs such as labor, capital, and technological innovations are transformed into outputs, encompassing goods and services. This measure is critical as it directly correlates with the economic efficiency and competitiveness of an economy, influencing policy decisions, investment strategies, and long-term developmental planning. For policymakers, investors, and economists, a deep dive into productivity metrics can reveal insights into the actual performance of various sectors and indicate potential areas for reform or investment. One of the primary indicators of productivity is the Gross Domestic Product (GDP) per hour worked. GDP per hour worked offers a clear picture of how productive an economy is in its utilization of labor. Higher productivity implies more efficient labor use, resulting in an augmented output of goods and services. When compared across different economies, this metric provides a comparative perspective on which countries are leveraging their labor more effectively and which ones might be lagging and in need of policy intervention. Total Factor Productivity (TFP) is another pivotal measure within the domain of productivity. Unlike partial measures that focus solely on labor or capital, TFP takes a holistic view by accounting for the efficiencies generated by all inputs collectively. It reflects the innovation, technological advancements, managerial expertise, and economies of scale that contribute to production beyond mere quantifiable inputs. Higher TFP indicates an economy’s ability to produce more output with the same amount of aggregate input, illustrating superior efficiency and innovation adaptability. At Eulerpool, our productivity data section meticulously tracks these and other relevant measures, providing users with current and historical data to monitor trends and make informed decisions. This data can be instrumental for businesses planning to enter new markets, for policymakers devising strategies to enhance economic efficiency, and for researchers aiming to understand the broader economic dynamics. One of the critical aspects of productivity analysis is understanding its determinants. Several factors contribute to productivity changes, including technological advancements, human capital development, economies of scale, resource allocation efficiency, and institutional and regulatory frameworks. Technological innovations, for instance, play a substantial role by enabling faster and more efficient production processes, which consequently reduce costs and improve output quality and quantity. Our platform tracks technological adoption rates and their impact on productivity to provide a nuanced understanding of their influence. Human capital, another vital determinant, underscores the importance of education, training, and skill development in enhancing labor productivity. A workforce equipped with higher education levels and specialized skills is likely to be more productive, creative, and capable of driving innovation. Eulerpool presents detailed data on educational attainment and workforce skill levels across countries, correlating these with productivity statistics to draw meaningful conclusions. Economies of scale also significantly influence productivity by enabling cost advantages due to increased output levels. Industries and firms that can scale their operations effectively often realize lower per-unit costs, leading to better productivity metrics. Regulatory and institutional frameworks additionally play a role in shaping productivity outcomes by ensuring competitive markets, protecting intellectual property rights, and fostering an environment conducive to business operations and innovation. Resource allocation efficiency involves ensuring that resources are directed towards their most productive uses. Misallocation, where resources are utilized in less productive activities, can significantly dampen an economy's overall productivity. Therefore, assessing sectoral productivity and the shifts in labor and capital across sectors becomes essential. Eulerpool’s robust data sets enable such granular analysis, facilitating a deeper understanding of resource allocation patterns and their implications on productivity. Productivity growth is not merely a measure of economic performance but also a determinant of future welfare improvements and living standards. Sustained productivity enhancements can lead to higher wages, lower prices for consumers, and more robust economic growth, contributing to an overall better quality of life. By analyzing trends in productivity growth, stakeholders can forecast potential economic trajectories and devise strategies to sustain growth momentum. However, productivity analysis is not without challenges. Quantifying productivity accurately requires a meticulous approach to measuring inputs and outputs, adjusting for quality changes, and accounting for externalities and intangible factors. At Eulerpool, we employ advanced methodologies to ensure our productivity data is robust, reliable, and reflective of true economic performance. This allows users to trust the data and base their decisions on solid empirical foundations. In summary, the productivity category on Eulerpool is an invaluable tool for anyone interested in understanding the economic efficiency and potential of different economies. Through comprehensive data on labor productivity, total factor productivity, technological impact, human capital, and resource allocation, our platform offers deep insights into the factors driving growth and efficiency. By enabling users to monitor and analyze productivity trends, Eulerpool aids in informed decision-making, promoting economic policies and strategies that can enhance the welfare and prosperity of nations. In an ever-evolving global economy, staying abreast of productivity changes is crucial, and Eulerpool stands as a premier resource for those committed to such critical macroeconomic analysis.