The Gross Domestic Product (GDP) in European Union was worth 18590.72 billion US dollars in 2023, according to official data from the World Bank. The GDP value of European Union represents 17.63 percent of the world economy. This dataset provides the latest reported value for - European Union GDP - 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 European Union expanded 1.60 percent in the first quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - European Union GDP Annual 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 European Union expanded 0.60 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - European Union GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: country full name, and GDP.

505 Economics is on a mission to make academic economics accessible. We've developed the first monthly sub-national GDP data for EU and UK regions from January 2015 onwards.

Our GDP dataset uses luminosity as a proxy for GDP. The brighter a place, the more economic activity that place tends to have.

We produce the data using high-resolution night time satellite imagery and Artificial Intelligence.

This builds on our academic research at the London School of Economics, and we're producing the dataset in collaboration with the European Space Agency BIC UK.

We have published peer-reviewed academic articles on the usage of luminosity as an accurate proxy for GDP.

Key features: - Frequent: Data is provided every month from January 2015. This is more frequent than quarterly official datasets. - Timely: Data is provided with a three week lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 3-6 month lag of official datasets. - Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

• Financial services - to get an indication of national-level GDP before official GDP statistics are released
• Governments and policy makers - to monitor the performance of economies, to measure the impact of policies, and to get a real-time indication of economic activity.
• Engineering companies - to monitor and evaluate the national impact of infrastructure projects
• Consultancies - to forecast the national impact of specific projects, to retrospectively monitor and evaluate the localised impact of existing projects
• Economics firms - to create macro forecasts at the national, to assess the impact of policy interventions.
• Academia / Think Tanks - to conduct novel research with more-frequent GDP data than is available from official sources. E.g. our dataset can be used to measure the impact of localised COVID-19 lockdowns.

We have created this dataset for the UK, Switzerland and 28 EU Countries.

The Gross Domestic Product per capita in European Union was last recorded at 34601.03 US dollars in 2023. The GDP per Capita in European Union is equivalent to 274 percent of the world's average. This dataset provides the latest reported value for - European Union 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 is about countries in Europe. It has 44 rows. It features 3 columns: currency, and GDP.

Graph and download economic data for Real Gross Domestic Product (Euro/ECU Series) for Euro Area (19 Countries) (CLVMEURSCAB1GQEA19) from Q1 1995 to Q1 2025 about Euro Area, Europe, real, and GDP.

Data from 1st of June 2022. For most recent GDP data, consult dataset nama_10_gdp. Gross domestic product (GDP) is a measure for the economic activity. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The volume index of GDP per capita in Purchasing Power Standards (PPS) is expressed in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that the index, calculated from PPS figures and expressed with respect to EU27_2020 = 100, is intended for cross-country comparisons rather than for temporal comparisons."

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: GDP, and median age.

Full Year GDP Growth in European Union increased to 1 percent in 2024 from 0.40 percent in 2023. This dataset includes a chart with historical data for European Union Full Year GDP Growth.

Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: GDP, and alternative and nuclear energy.

The European Business Performance database describes the performance of the largest enterprises in the twentieth century. It covers eight countries that together consistently account for above 80 per cent of western European GDP: Great Britain, Germany, France, Belgium, Italy, Spain, Sweden, and Finland. Data have been collected for five benchmark years, namely on the eve of WWI (1913), before the Great Depression (1927), at the extremes of the golden age (1954 and 1972), and in 2000.The database is comprised of two distinct datasets. The Small Sample (625 firms) includes the largest enterprises in each country across all industries (economy-wide). To avoid over-representation of certain countries and sectors, countries contribute a number of firms that is roughly proportionate to the size of the economy: 30 firms from Great Britain, 25 from Germany, 20 from France, 15 from Italy, 10 from Belgium, Spain, and Sweden, and 5 from Finland. By the same token, a cap has been set on the number of financial firms entering the sample, so that they range between up to 6 for Britain and 1 for Finland.The second dataset, or Large Sample (1,167 firms), is made up of the largest firms per industry. Here industries are so selected as to take into account long-term technological developments and the rise of entirely new products and services. Firms have been individually classified using the two-digit ISIC Rev. 3.1 codes, then grouped under a manageable number of industries. To some extent and broadly speaking, the two samples have a rather distinct focus: the Small Sample is biased in favour of sheer bigness, whereas the Large Sample emphasizes industries.As far as size and performance indicators are concerned, total assets has been picked as the main size measure in the first three benchmarks, turnover in 1972 and 2000 (financial intermediaries, though, are ranked by total assets throughout the database). Performance is gauged by means of two financial ratios, namely return on equity and shareholders’ return, i.e. the percentage year-on-year change in share price based on year-end values. In order to smooth out volatility, at each benchmark performance figures have been averaged over three consecutive years (for instance, performance in 1913 reflects average performance in 1911, 1912, and 1913).All figures were collected in national currency and converted to US dollars at current year-average exchange rates.

Context

This dataset is compiled from European data about Digital Economy and Society - ITC sector.

Content

The data contains information on Digital Economy and Society - ITC sector - in Europe.

NACE R2 stands for Statistical classification of economic activities in the European Community, Revision 2 (NACE stands for Nomenclature générale des activités économiques dans les Communautés européennes - in French)

Geographies values are acronyms (2 characters) for EU countries and group of countries from Europe.

Source of metadata: https://ec.europa.eu/eurostat/ramon/cybernews/abbreviations.htm

Acknowledgements

The main data source is: https://ec.europa.eu/eurostat/data/database For the data dictionaries, the source is: https://ec.europa.eu/eurostat/estat-navtree-portlet-prod/BulkDownloadListing?sort=1&dir=dic%2Fen as well: https://ec.europa.eu/eurostat/ramon/cybernews/abbreviations.htm

European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data was reported at 15,872.290 EUR bn in 2026. This records an increase from the previous number of 15,242.710 EUR bn for 2025. European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data is updated yearly, averaging 9,257.150 EUR bn from Dec 1995 (Median) to 2026, with 31 observations. The data reached an all-time high of 15,872.290 EUR bn in 2026 and a record low of 5,332.410 EUR bn in 1995. European Union EU27: DG ECFIN Forecast: GDP: GNI: Net National Income data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s European Union – Table EU.DG ECFIN.AMECO: GDP: Gross National Income: Current Price: Forecast.

European Union EU27: DG ECFIN Forecast:(GDP) Gross Domestic Productper Capita: Gross National Income data was reported at 42.539 EUR th in 2026. This records an increase from the previous number of 41.003 EUR th for 2025. European Union EU27: DG ECFIN Forecast:(GDP) Gross Domestic Productper Capita: Gross National Income data is updated yearly, averaging 25.245 EUR th from Dec 1995 (Median) to 2026, with 31 observations. The data reached an all-time high of 42.539 EUR th in 2026 and a record low of 14.861 EUR th in 1995. European Union EU27: DG ECFIN Forecast:(GDP) Gross Domestic Productper Capita: Gross National Income data remains active status in CEIC and is reported by European Commission's Directorate-General for Economic and Financial Affairs. The data is categorized under Global Database’s European Union – Table EU.DG ECFIN.AMECO: GDP per Capita: Forecast.

Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

growth rate, Real, COVID-19, GDP

Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

This dataset is about countries in Europe. It has 44 rows. It features 3 columns: GDP, and electricity production from renewable sources, excluding hydroelectric.

Available data for gross domestic product (GDP) and population density are useful for defining divisions in socio-economic gradients across Europe, since economic power and human population pressure are recognised as two of the most critical factors causing ecosystem changes. To overcome both the limitations in data availability and in the distortions caused by using administrative regions, we decided to base the socio-economic dimension on an economic density indicator, defined as the income generated per square kilometre (EUR km-2), which can be mapped at a 1km2 spatial resolution. Economic density forms an integrative indicator that is based on two key drivers that were identified above: economic power and human population pressure. The indicator, which has been used to rank countries by their level of development, can be considered a crude measure for impacts on the environment caused by economic activity. An economic density map (EUR km-2) at 1 km2 spatial resolution was constructed by multiplying economic power (EUR person-1) with population density (person km-2). Subsequent logarithmic divisions resulted in an aggregated map of four economic density zones. Although the map has a fine spatial resolution it has to be realised that they form a spatial disaggregation of coarser census statistics. Importantly, the finer resolution discerns regional gradients in human activity that are required for many environmental studies, whilst broad gradients in economic activity is also treated consistently across Europe. GDP and population density data used were for the year 2001. The dataset consists of GeoTiff files of the economic density map and the four economic density zones.