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Hungary Industrial Production

Price

2.2 %
Change +/-
-0.8 %
Percentage Change
-30.77 %

The current value of the Industrial Production in Hungary is 2.2 %. The Industrial Production in Hungary decreased to 2.2 % on 2/1/2024, after it was 3 % on 12/1/2022. From 1/1/1991 to 8/1/2024, the average GDP in Hungary was 4.16 %. The all-time high was reached on 4/1/2021 with 59.1 %, while the lowest value was recorded on 4/1/2020 with -37 %.

Source: Hungarian Central Statistical Office

Industrial Production

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Industrial production

Industrial Production History

DateValue
2/1/20242.2 %
12/1/20223 %
11/1/20221.1 %
10/1/20226.3 %
9/1/202212.3 %
8/1/202214.6 %
7/1/20223.6 %
6/1/20221.8 %
5/1/20229.4 %
4/1/20223.5 %
1
2
3
4
5
...
30

Similar Macro Indicators to Industrial Production

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Business Climate
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Changes in Inventory Levels
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Electric Vehicle Registrations
864 Units781 UnitsMonthly
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Electricity Production
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Industrial Production MoM
0.5 %-1.3 %Monthly
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Manufacturing PMI
49.7 points47.7 pointsMonthly
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Manufacturing Production
-9.2 %-6.4 %Monthly
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Mining Production
7.4 %19.1 %Monthly
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New Orders
83.4 points113.6 pointsMonthly
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Passenger Car Registrations YoY
23.9 %5.7 %Monthly
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Vehicle Registrations
11,724 Units9,531 UnitsMonthly

In Hungary, industrial production quantifies the output of enterprises within the industrial sector of the economy, including manufacturing, mining, and utilities.

What is Industrial Production?

At Eulerpool, we understand that macroeconomic indicators offer profound insights into the health and direction of an economy. One of the most pivotal categories within macroeconomics is 'Industrial Production.' This parameter serves as a barometer for economic activity, illustrating variations and trends in the output of major industrial sectors such as manufacturing, mining, and utilities. In this comprehensive overview, we delve into the essence, significance, and mechanics of industrial production, providing a detailed perspective that will be invaluable for economists, analysts, investors, and policymakers alike. Industrial production, at its core, measures the output of the industrial sector of the economy. This sector is a critical component, often acting as a backbone due to its substantial contribution to GDP, employment, and innovation. The three predominant sub-sectors encompassed within industrial production are manufacturing, mining, and utilities. Each of these plays a distinct role: manufacturing pertains to the processing of raw materials into finished goods, mining involves the extraction of valuable minerals and resources from the earth, and utilities encompass the provision of essential services such as electricity, water, and gas. The significance of monitoring industrial production cannot be overstated. As an indicator, it is instrumental in providing an understanding of the economic cycle's various phases, including expansion, peak, contraction, and trough. By observing the trends and fluctuations in industrial production, stakeholders can infer the level of business activity, consumer demand, and economic stress or vitality. For instance, an uptick in industrial production often correlates with increased consumer demand and business investment, indicative of a growing economy. Conversely, a decline might signal economic distress, potentially forecasting diminished consumer spending and business contraction. For economists and analysts, industrial production data serves as a rich, granular source of real-time information that reflects the immediate economic environment far more rapidly than GDP figures, which are released quarterly. Monthly industrial production indices provide timely updates that aid in constructing economic forecasts, developing monetary policies, and formulating business strategies. Accurate assessment of these indices can inform central banks about inflationary pressures or recession risks, prompting adjustments in interest rates and other monetary tools to steer the economy towards desired outcomes. Investors, too, rely heavily on industrial production data. Fluctuations in output levels can influence stock prices, particularly in sectors directly linked to manufacturing, mining, and utilities. For instance, robust industrial production growth often leads to higher corporate earnings, resulting in bullish stock markets. On the flip side, a slump can foreshadow lower profits, prompting bearish sentiments. Thus, timely and accurate industrial production data empower investors to make informed decisions, optimizing their portfolios in alignment with economic trajectories. When delving deeper into the mechanics of industrial production, it becomes clear that this indicator is a composite index calculated from various industrial metrics. In the United States, for example, the Federal Reserve Board’s monthly report on industrial production includes detailed data from the Census Bureau's Annual Survey of Manufactures, the Department of Energy, and other sources. This composite index is typically expressed as a percentage of industrial output in a base year, allowing for the measurement of growth or contraction over time. One must also consider the capacity utilization rate, which often accompanies industrial production data. This rate measures the extent to which industrial capacity is being used to produce goods. It indicates potential maximal output and highlights the difference between current production and full capacity. A high capacity utilization rate suggests that industries are nearing their production limits, potentially leading to bottlenecks and inflationary pressures. Conversely, a low rate indicates underutilized resources, suggesting room for expansion without incurring additional costs, which is crucial for planning and investment decisions. Moreover, key policy decisions are influenced by industrial production data. For instance, governments may craft fiscal policies to stimulate industrial growth by offering incentives such as tax breaks, subsidies, or grants for research and development. Such measures can enhance productivity, drive innovation, and foster economic resilience. Similarly, trade policies, including tariffs and import-export regulations, are often tailored based on the current state of industrial production to protect domestic industries and ensure sustainable economic growth. Understanding regional variations within industrial production is also essential. Different regions may experience disparate industrial dynamics due to factors such as resource availability, labor market conditions, and historical industrial bases. For example, regions abundant in natural resources might exhibit strong mining output, whereas others with robust infrastructure may excel in manufacturing. Utilities' production, however, tends to be more evenly distributed, as it is crucial for all regions. Analyzing these regional nuances can provide a more granular understanding of the national economy's overall health and potential growth areas. At Eulerpool, we are committed to providing up-to-the-minute, precise, and comprehensive industrial production data, enabling our users to stay ahead in an ever-evolving economic landscape. Our platform offers an intuitive interface, detailed datasets, and analytical tools designed to help you interpret industrial production metrics proficiently. Whether you are an economist deciphering macroeconomic trends, an investor navigating market fluctuations, or a policymaker strategizing economic interventions, our resources are tailored to meet your needs with accuracy and efficiency. In conclusion, industrial production stands as a cornerstone of macroeconomic analysis. Its impact on economic assessment, policy formulation, and investment decisions is profound and multifaceted. By offering a clear reflection of industrial activity levels, it equips stakeholders with the knowledge required to navigate economic cycles adeptly. At Eulerpool, we pride ourselves on being your trusted source for this crucial data, helping you make informed, strategic decisions in the complex world of macroeconomics.