The Gross Domestic Product (GDP) in Germany stagnated 0 percent in the third quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - Germany GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Gross Domestic Product (GDP) in Germany expanded 0.30 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Germany GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

🧾 About Dataset

🌍 Global GDP by Country — 2024 Edition

📖 Overview

The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

📊 Dataset Information

• Total Records: 181 countries
• Time Period: 2024 (latest available global data)
• Geographic Coverage: Worldwide
• File Format: CSV
• File Size: ~10 KB
• Missing Values: None (100% complete dataset)

🎯 Target Use-Cases:
- Economic growth trend analysis
- GDP-based country clustering
- Per capita wealth comparison
- Share of world economy visualization

🧩 Key Features

📈 Statistical Summary

Population Overview

• Mean Population: 43.6 million
• Standard Deviation: 155.5 million
• Minimum Population: 9,816 (small island nations)
• Median Population: 9.1 million
• Maximum Population: 1.43 billion (China)

🌟 Highlights

💰 Top Economies (Nominal GDP):
United States, China, Japan, Germany, India

📈 Fastest Growing Economies:
India, Bangladesh, Vietnam, and Rwanda

🌐 Global Insights:
- The dataset covers 181 countries representing 100% of global GDP.
- Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

💡 Example Use-Cases

• Build a choropleth map showing GDP distribution across continents.
• Train a regression model to predict GDP per capita based on population and growth.
• Compare economic inequality using population vs GDP share.

📚 Dataset Citation

Source: Worldometers — GDP by Country (2024)
Dataset compiled and cleaned by: Asadullah Shehbaz
For open research and data analysis.

In 2024, the services sector's share in Germany's gross domestic product amounted edged over 70 percent, while the secondary and primary sectors generated less than a third of GDP together. At your service The tertiary, or services, sector encompasses all kinds of intangible goods, like consulting and advice, transport, or attention. If a country generates its GDP mostly via services, this is often through industries like housing, tourism (including accommodation and hospitality), financial services, or telecommunications. Germany is a popular tourist destination and an important financial hub. Germany is not a “service desert” The services sector in Germany not only generates most of the country’s GDP, it also employs the vast majority of the workforce with over 70 percent. Lately, business confidence in the German services sector has increased significantly, which suggests a stable economy and ideally an increase in production and output in the future. This projection is supported by rising GDP and a stable inflation rate at around two percent.

Germany’s GDP per capita stood at almost 54,989.76 U.S. dollars in 2024. Germany ranked among the top 20 countries worldwide with the highest GDP per capita in 2021 – Luxembourg, Ireland and Switzerland were ranked the top three nations. Rising annual income in Germany The average annual wage in Germany has increased by around 5,000 euros since 2000, reaching in excess of 39,000 euros in 2016. Germany had the tenth-highest average annual wage among selected European Union countries in 2017, ranking between France and the United Kingdom. Growing employment More than two thirds of the working population in Germany are employed in the service sector, which generated the greatest share of the country’s GDP in 2018. Unemployment in Germany soared to its highest level in decades in 2005, but the rate has since dropped to below 3.5 percent. The youth unemployment rate in Germany has more than halved since 2005 and currently stands around 6.5 percent.

Description:

This dataset provides key economic indicators from various countries between 2010 and 2023. The dataset includes monthly data on inflation rates, GDP growth rates, unemployment rates, interest rates, and stock market index values. The data has been sourced from reputable global financial institutions and is suitable for economic analysis, machine learning models, and forecasting economic trends.

Data Sources:

The data has been generated to simulate real-world economic conditions, mimicking information from trusted sources like: - World Bank for GDP growth and inflation data - International Monetary Fund (IMF) for macroeconomic data - OECD for labor market statistics - National Stock Exchanges for stock market index values

Columns:

1. Date: The specific date (in Year/Month/Day format) representing when the data was collected.
2. Country: The country the data pertains to (e.g., USA, Germany, Japan).
3. Inflation Rate (%): The rate of inflation for that country, showing how fast prices for goods and services are increasing.
4. GDP Growth Rate (%): The percentage growth of the country’s Gross Domestic Product (GDP), indicating economic expansion or contraction.
5. Unemployment Rate (%): The percentage of the working-age population that is unemployed.
6. Interest Rate (%): The central bank's interest rate, used to control inflation and influence the economy.
7. Stock Index Value: The value of the country’s main stock market index, reflecting the performance of the stock market.

Potential Uses: - Economic Analysis: Researchers and analysts can use this dataset to study trends in inflation, GDP growth, unemployment, and other economic factors. - Machine Learning: This dataset can be used to train models for predicting economic trends or market performance. Financial Forecasting: Investors and economists can leverage this data for forecasting market movements based on economic conditions. - Comparative Studies: The dataset allows comparisons across countries and regions, offering insights into global economic performance.

The Gross Domestic Product (GDP) In the Euro Area expanded 0.20 percent in the third quarter of 2025 over the previous quarter. This dataset provides - Euro Area GDP Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product per capita in Germany was last recorded at 44108.70 US dollars in 2024. The GDP per Capita in Germany is equivalent to 349 percent of the world's average. This dataset provides the latest reported value for - Germany GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset provides key economic indicators for five of the world's largest economies, based on their nominal Gross Domestic Product (GDP) in 2022. It includes the GDP values, population, GDP growth rates, per capita GDP, and each country's share of the global economy.

Columns: Country: Name of the country. GDP (nominal, 2022): The total nominal GDP in 2022, represented in USD. GDP (abbrev.): The abbreviated GDP in trillions of USD. GDP growth: The percentage growth in GDP compared to the previous year. Population: Total population of each country in 2022. GDP per capita: The GDP per capita, representing average economic output per person in USD. Share of world GDP: The percentage of global GDP contributed by each country. Key Highlights: The dataset includes some of the largest global economies, such as the United States, China, Japan, Germany, and India. The data can be used to analyze the economic standing of countries in terms of overall GDP and per capita wealth. It offers insights into the relative growth rates and population sizes of these leading economies. This dataset is ideal for exploring economic trends, performing country-wise comparisons, or studying the relationship between population size and GDP growth.

At the turn of the 20th century, industrialization in Western Europe and North America saw new countries emerge (or return) as major economic powers. Germany (established in 1871) and the United States were the two countries that began to challenge the established powers such as Britain and the Netherlands on an industrial scale, while France's invigorated banking system compensated for its slow rate of industrialization. This period also saw Scandinavian countries catch up with modernization rates observed in other Western European countries; the wealth of natural resources, increased industrial output, and strong shipping networks combined to allow GDP per capita to grow at rates similar to the United States and France and Germany.

Between 1970 and 1913, GDP per capita in the three emerging regions roughly doubled, outpacing growth in countries considered economic and industrial "leaders" for most of the 1800s. While Britain had been the leading global superpower for most of the 19th century and still maintained healthy economic growth in the given period, the rise of Germany and the U.S. at this time would (and, later, the Soviet Union) go on to shape global economic development over the subsequent decades.

Growth fluctuations, like short-term cyclical fluctuations, can be measured by various indicators. In the 19th century, the economic situation was evaluated mainly on the grounds of easily observable data on prices. Current research, in contrast to this, measures the economic cycle principally by the national product, apart from other multivarious indicators. In modern business cycle research, this method is preferred because it comprises the overall economic activity of a country, whereas diffusion-related indices only regard parts of a national economy.This study by Carl-Ludwig Holtfrerich completes Walter G. Hoffmanns calculations on the origin of gross value added (cf. Hoffmann W. G., 1965: The Growth of the German Economy Since the Middle of the 19th Century. Berlin: Springer). The principal item of Hoffmanns study is the estimation by origin on the basis of sub-sectoral physical quantities of production and sub-sectoral employment figures. This estimation by origin results in the best data quality because the economic output of numerous sectors was recorded already from the middle of the 19th century on. Nevertheless, figures on the production of the tertiary sector are almost completely missing. In this respect, the calculation of the index of industrial production constitutes the main problem, and Hoffmann, among others, assumes that the relative sub-sectoral labour productivities had remained constant during the years 1850 and 1959.Moreover, Hoffmann utilises the added value structure of nine economical sectors in 1913 as a constant factor for the aggregation of sector indices for the production in the German economy. In contrast to that, Holtfrerich relies on a calculation method using a streamlined added value structure for each year in the entire period between 1850-1913 to determine the growth rates in the different sectors. Thereby, the author aims at aggregating information on the annual growth rate for the German national economy.It is remarkable that the growth rates of the German net domestic product thus calculated are higher than the rates found by Hoffmann. However, such differences have generally decreased in the years before 1913 because the weighting structures of both methods approached each other in the course of time. The named differences reached their maximum in the period of the so-called “take off” phase of the German industrialisation up to 1874; during this period, they accounted for up to 0.4 percentage points on an perennial average. Thereby the annual growth rates determined by Hoffmann have been corrected by up to 13% upwards. Topics: Tables in the ZA-Onlinedatabase HISTAT: A. Selected tables by W.G. Hoffmann: The Growth of the German Economy Since the Middle of the 19th Century. Berlin (loc. cit.): Springer.- Hoffmann: Earned income per economic sector in Germany in relation to the price current (1850-1930)- Hoffmann: Distribution of the net national product, measured by factor costs and price current (1850-1913)- Hoffmann: Added value per economic sector in the prices of 1913 (1850-1913)- Hoffmann: Production per economic sector, index 1913=100 (1850-1913) B. Tables from: Carl-Ludwig Holtfrerich, The German Net Domestic Product Compared to Factor Costs, index 1913=100, and annual growth factors (1850-1913)- Added value in Germany per economic sector in relation to the price current (1850-1913)- Net domestic product in relation to factor costs, index 1913=100, and annual growth factors of the net domestic product in relation to factor costs (1850-1913)- Comparison of the average growth rate (per year) for different periods (1850-1913)

The economy of the European Union is set to grow by *** percent in 2026, according to forecasts by the European Commission. This marks a significant slowdown compared to previous years, when the EU member states grew quickly in the aftermath of the COVID pandemic. ***** is the country which is forecasted to grow the most in 2026, with an annual growth rate of **** percent. Many of Europe's largest economies, on the other hand, are set to experiencing slow growth or stagnation, with Germany, France, and Italy growing below *** percent.

The fastest growing economy in Europe in 2024 was Malta. The small Mediterranean country's gross domestic product grew at five percent in 2024, beating out Montenegro which had a growth rate of almost four percent and the Russian Federation which had a rate of 3.6 percent in the same year. Estonia was the country with the largest negative growth in 2024, as the Baltic country's economy shrank by 0.88 percent compared with 2023, largely as a result of the country's exposure to the economic effects of Russia's invasion of Ukraine and the subsequent economic sanctions placed on Russia. Germany, Europe's largest economy, experience economic stagnation with a growth of 0.1 percent. Overall, the EU (which contains 27 European countries) registered a growth rate of one percent and the Eurozone (which contains 20) grew by 0.8 percent.

The Gross Domestic Product (GDP) in the United Kingdom expanded 0.10 percent in the third quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United Kingdom GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This study aims at an empirical verification of the historical importance of the German railways on the basis of new quantitative data with respect to the development of the transport system. In this process, older sources which had been widely neglected have been utilised and regrouped.
Within the scope of a leading sector analysis, this study focuses on the mechanism of a continuos industrialisation within the railway sector using the example of Germany. Thereby the theoretical conceptions concerning the economic growth constitute a suitable analytic frame to derive the systematic background for the collection and presentation of the quantitative data materials on the German railway sector. In this respect, the choice of quantifying variables aims at a selective verification of relevant facts in connection with growth-related theories. In conclusion, the author explains the Industrial Revolution in Germany as a growth process fuelled by individual sectors. “The highest aim should consist in a synthesis of economic theories and history in order to allow historians, on the other hand, to gain a deeper insight into the course of the Industrial Revolution in Germany resulting from explicit research objectives and hypotheses; on the other hand, a thorough re-examination of certain hypothesises which have not been proved empirically should enable and incite theoretical researchers studying national economies to deliver newly revised analyses in this field.” (Fremdling [1985], S. 1). By means of a connection between explicit questions and hypotheses gained from economic theory and the above-named systematically compiled data, this study examines the contribution of the railway sector to the industrialisation of Germany, e.g. the importance of the passenger traffic, the enormous expansion of the railway net in the course of the 1840s, and the strong impact of the railway industry on the national economy. Indeed, these factors resulted in the fact that – according to Rainer Fremdling’s findings – the contribution of the railway construction to the development of the heavy industry in Germany has been far greater than e.g. in Great Britain or the US. Furthermore, this study pursues the important question about the importance of the governmental influence concerning the industrialisation in Germany. For instance, the study reveals the fact that military conceptions concerning the expansion of the railway net were definitely only of minor importance. Quite on the contrary, the study clarifies that governmental interventions were more or less an obstacle to the development and extension of the railway system in its founding phase. Among others, Fremdling’s study contains the following important conclusions: (a) The Industrial Revolution in Germany should be considered as a growth process in accordance with the development pattern of the so-called “unbalanced growth” with the railway system as a primary growth factor. (b) In Germany, the railway system has to be regarded as a “ground-breaking” force to boost the economic growth in the 19th century. Topics: List of data tables within the HISTAT research and download system: 01. Average annual growth rates of the output of the German railways (1841-1913) 02. Passenger services and goods traffic as carried out by the German and Prussian railways (1840-1879) 03. Goods traffic carried out by the German railways (1880-1913) 04. The passenger transport by German railways (1880-1913) 05. Profits resulting from the passenger and goods traffic by the German and Prussian railways (1840-1879) 06. Proportion of the employees in the railway sector (construction and operation) as compared to the national economy, and in comparison to the other sectors in Germany (1849-1879) 07. Work force and their income in the German railway services (1840-1879) 08. Work force and their income in the Prussian railway services (1840-1879) 09. Proportion of the value creation in the railway sector as compared to the German national economy/trade and industry (1850-1879) 10. Value creation of German and Prussian railways at the respective contemporary prices (1840-1879) 11. The capital stock of the German and Prussian railways as compared to the related purchase prices (investment capital) between 1840 and 1879 12. Capital stock as compared to the purchase prices (investment capital) and work force of the German railway system (1880-1913) 13. Proportion of the capital stock of the railway services at purchase prices as compared to the national economy/trade and industry (1850-1913) 14. The net investment of the German and Prussian railways at the respective contemporary prices (1841-1879) 14. The expenditure of the German and Prussian railways at the respective contemporary prices (1841-1879) 16. Proportion of the net investment of the railway sector as compared to the national economy/trade and industry in Germany (1851-1879) 17. Productivity, output, and input of the German railway services...

With a Gross Domestic Product of over 4.3 trillion Euros, the German economy was by far the largest in Europe in 2024. The similarly sized economies of the United Kingdom and France were the second and third largest economies in Europe during this year, followed by Italy and Spain. The smallest economy in this statistic is that of the small Balkan nation of Montenegro, which had a GDP of 7.4 billion Euros. In this year, the combined GDP of the 27 member states that compose the European Union amounted to approximately 17.95 trillion Euros. The big five Germany’s economy has consistently had the largest economy in Europe since 1980, even before the reunification of West and East Germany. The United Kingdom, by contrast, has had mixed fortunes during the same period and had a smaller economy than Italy in the late 1980s. The UK also suffered more than the other major economies during the recession of the late 2000s, meaning the French economy was the second largest on the continent for some time afterward. The Spanish economy was continually the fifth-largest in Europe in this 38-year period, and from 2004 onwards, has been worth more than one trillion Euros. The smallest GDP, the highest economic growth in Europe Despite having the smallerst GDP of Europe, Montenegro emerged as the fastest growing economy in the continent, achieving an impressive annual growth rate of 4.5 percent, surpassing Turkey's growth rate of 4 percent. Overall,this Balkan nation has shown a remarkable economic recovery since the 2010 financial crisis, with its GDP projected to grow by 28.71 percent between 2024 and 2029. Contributing to this positive trend are successful tourism seasons in recent years, along with increased private consumption and rising imports. Europe's economic stagnation Malta, Albania, Iceland, and Croatia were among the countries reporting some of the highest growth rates this year. However, Europe's overall performance reflected a general slowdown in growth compared to the trend seen in 2021, during the post-pandemic recovery. Estonia experienced the sharpest negative growth in 2023, with its economy shrinking by 2.3% compared to 2022, primarily due to the negative impact of sanctions placed on its large neighbor, Russia. Other nations, including Sweden, Germany, and Finland, also recorded slight negative growth.

The industry players are the development banks of the federal and state governments. In the years between 2020 and 2025, the industry recorded average annual revenue growth of 14.8%. This positive development is largely due to the expansion of development programmes during the coronavirus pandemic. Measures such as liquidity loans, investment aid and crisis programmes led to exceptionally high volumes. Turnover of €46 billion is forecast for 2025, which corresponds to a decline of 3.9% compared to 2024. The observed decline is due to the normalisation following pandemic-related peaks and the expiry of numerous special programmes. Development banks are therefore returning to a stable long-term development business. Income is mainly generated from interest income, supplemented by marginal commission components. The low-interest phase and the expiry of higher-interest legacy loans have reduced the level of income without diminishing the strategic importance of the development banks for financing socially relevant projects.Although the development banks were also confronted with falling earnings due to the low interest rates following the financial crisis in the years 2007 to 2009, they were able to benefit from the economic environment in the post-crisis period in contrast to other credit institutions. Since then, most banks have found it very difficult to refinance themselves on the capital market at favourable conditions, as many investors consider the default risk for banks to be significantly higher than before the financial crisis. As the development banks can rely on the federal and state governments, they receive very good ratings and can refinance themselves at favourable conditions, enabling them to expand their business. During the coronavirus pandemic, they played a central role in stabilising the German economy. Even after the outbreak of the war in Ukraine, the funding volume remains at a high level as the institutions continue to provide targeted support for economically and socially relevant projects. The combination of solid refinancing, state protection and crisis-related funding requirements ensures stable income for the banks and emphasises their importance as a strategic partner in economically uncertain times.For the period from 2025 to 2030, a decline in turnover of 0.5% per year on average is forecast. Accordingly, industry turnover is expected to amount to 45 billion euros in 2030. For the coming five-year period, IBISWorld is forecasting a slight and steady decline in interest rates, which is likely to lead to a slight reduction in interest income. At the same time, a high volume of funding is expected, as the development banks are likely to play a key role in the recovery of the German economy and its transformation towards sustainability and digitalisation. This will prevent a major decline in sector turnover.

Germany - Exports of goods and services in % of GDP was 41.40 % of GDP in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Exports of goods and services in % of GDP - last updated from the EUROSTAT on November of 2025. Historically, Germany - Exports of goods and services in % of GDP reached a record high of 45.60 % of GDP in December of 2022 and a record low of 39.10 % of GDP in December of 2020.

The gross domestic product (GDP) of all G7 countries decreased sharply in 2009 and 2020 due to the financial crisis and COVID-19 pandemic, respectively. The growth decline was heavier after the COVID-19 pandemic than the financial crisis. Moreover, Italy had a negative GDP growth rate in 2012 and 2013 following the euro crisis. In 2023, Germany experienced an economic recession.

Germany DE: First Registrations of Brand New Road Vehicles: Per One Million Units of Current USD GDP data was reported at 0.844 Ratio in 2020. This records a decrease from the previous number of 1.023 Ratio for 2019. Germany DE: First Registrations of Brand New Road Vehicles: Per One Million Units of Current USD GDP data is updated yearly, averaging 1.176 Ratio from Dec 1994 (Median) to 2020, with 27 observations. The data reached an all-time high of 1.861 Ratio in 2000 and a record low of 0.844 Ratio in 2020. Germany DE: First Registrations of Brand New Road Vehicles: Per One Million Units of Current USD GDP data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Germany – Table DE.OECD.ITF: Motor Vehicles Statistics: OECD Member: Annual. FIRST REGISTRATIONS A passenger car is a road motor vehicle, other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons (including the driver). The term 'passenger car' therefore covers microcars (need no permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups. A good road motor vehicle is any single road motor vehicle designed to carry goods (lorry), or any coupled combination of road vehicles designed to carry goods, (i.e. lorry with trailer(s), or road tractor with semi-trailer and with or without trailer).