The Gross Domestic Product (GDP) in European Union was worth 19423.32 billion US dollars in 2024, according to official data from the World Bank. The GDP value of European Union represents 18.29 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 per capita in European Union was last recorded at 34859.60 US dollars in 2024. The GDP per Capita in European Union is equivalent to 276 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.

The indicator is part of the EU Sustainable Development Goals (SDG) indicator set. It is used to monitor progress towards SDG 8 on decent work and economic growth; which is embedded in the European Commission’s Priorities under the European Green Deal, Economy that works for people. SDG 8 recognises the importance of sustained economic growth and high levels of economic productivity for the creation of well-paid quality jobs and the achievement of global prosperity. That said, it envisions inclusive and sustainable economic growth, which leaves no one behind and does not harm the environment.

Indicator can be considered as identical to global SDG indicator 8.1.1 "Annual growth rate of real GDP per capita". Furthermore, it is part of the impact indicators for Strategic plan 2020-2024 referring to the 6 Commission priorities.

The EU supports growth, job creation and competitiveness through funding instrumentssuch as the European Fund for Strategic Investments, the European Social Fund and its successor, the European Social Fund Plus, the European Structural and Investment Funds, Horizon 2020, the Programme for Employment and Social Innovation (EaSI), the Programme for the Competitiveness of Enterprises and Small and Medium-sized Enterprises (COSME), the Emergency Support Instrument, the Connecting Europe Facility and the Creative Europe Programme (CAP).

The indicator is calculated as the ratio of real GDP to the average population of a specific year. GDP measures the value of total final output of goods and services produced by an economy within a certain period of time. It includes goods and services that have markets (or which could have markets) and products which are produced by general government and non-profit institutions.

It is a measure of economic activity and is commonly used as a proxy for the development in a country’s material living standards. However, it is not a complete measure of economic welfare. For example, GDP does not include most unpaid household work. Neither does GDP take account of negative effects of economic activity, like environmental degradation.

Real GDP per capita is calculated as the ratio of real GDP to the average population of a specific year and is based on rounded figures.

All EU MS

Comparability across all EU Member States respectively other presented countries is ensured by the application of the legal framework represented by ESA 2010 and SNA 2008. Comparability of GDP for EU countries is regularly monitored in the context of the work of the Gross National Income (GNI) Committee. In addition, international harmonisation of techniques and, to some extent, compilation tools is ensured by the work of the national accounts working groups (Eurostat, OECD, UN).

Comparability across countries of the population figures is ensured by application of the same concept (ESA 2010) across countries.

This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented in US dollars. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).

When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.

The table shows OECD countries and some other economies, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.

These indicators were presented in the previous dissemination system in the QNA dataset.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

The Gross Domestic Product per capita in European Union was last recorded at 54290.99 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in European Union, when adjusted by Purchasing Power Parity is equivalent to 306 percent of the world's average. This dataset provides the latest reported value for - European Union GDP Per Capita Ppp - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The DEU-III dataset is the product of several data iterations carried out by several researchers. In order to use the integrated dataset, all three iterations should be referenced: DEU-III - Arregui, J. & Perarnaud, C. (2021). "A new dataset on legislative decision-making in the European Union: the DEU III dataset", https://doi.org/10.34810/data53, Repositori de Dades de Recerca, V1, UNF:6:QhhMr5aOxF70lckkESrl9A== [fileUNF] DEU-II - Thomson, R., Arregui, J., Leuffen, D., Costello, R., Cross, J., Hertz, R., & Jensen, T. (2012). A new dataset on decision-making in the European Union before and after the 2004 and 2007 enlargements (DEUII). Journal of European Public Policy, 19(4), 604-622. doi: 10.1080/13501763.2012.662028 DEU-I - Thomson, R., Stokman, F., Achen, C., & König, T. (Eds.). (2006). The European Union Decides (Political Economy of Institutions and Decisions). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511492082" The DEU Dataset helps EU studies scholars to develop an extensive range of research questions regarding EU legislative policy-making. This latest updated version 69 legislative dossiers from the EU-15 (Thomson & Stokman, 2006), 56 dossiers from the EU-27 (covering the 2004-2007 EU enlargement) (Thomson et al., 2012) and 16 legislative dossiers from the EU-28 that cover the time framework between 2016 and 2019 (Arregui and Perarnaud). In total, the new DEU-III dataset now covers systematic information for over twenty years of EU decision-making (1999-2019), and it includes 141 legislative proposals and 363 controversial issues. This makes the DEU dataset the largest existing dataset in the literature on EU decision-making with a great potential to identify the main driving forces of EU decision-making over the last two decades.The legislative dossiers include a broad range of policy areas in legislative decision-making. Altogether, DEU-III provides information on the policy positions of member states´ representatives in the Council of Ministers, the European Commission (EC), and the European Parliament (EP). The new dataset (DEUIII) also provides information on the salience scores that each actor attaches to the issues subjected to a final decision.

• The dataset is part of Eurostat's collection of population and employment statistics. The code "NAMQ_10_PE" specifically refers to data related to employment and population trends in European countries and likely spans a range of years from 1980 to 2024.

Eurostat provides statistical data on various aspects of the labor market across Europe, including:

• Total Population – The total number of people residing in a particular country or region.
• Labor Force – The portion of the population that is either employed or actively looking for work.
• Employment Rate – The percentage of the working-age population that is employed.
• Unemployment Rate – The percentage of the labor force that is unemployed.
• Youth Employment Rate – The employment rate among young people (typically aged 15-24).

• Sectoral Employment – Employment distribution across various sectors like agriculture, industry, and services.

• **Details of the Dataset **

This dataset would typically cover European Union countries and potentially other European countries (depending on the specific version). The data likely spans multiple years (1980-2024) and provides insights into the demographic and economic changes in these countries over time.

-**Some example insights you might explore:**

Trends in Employment: Analyzing the employment and unemployment rates over time to see how they correlate with major economic events, such as the global financial crisis. Sectoral Shifts: Investigating how the structure of employment has shifted from agriculture and industry to services over the decades. Impact of Population Growth: Exploring how changes in population size relate to changes in employment, labor force participation, and unemployment.

• Link to Eurostat’s Dataset

You can access the Eurostat dataset directly using the following link:

• Eurostat – NAMQ_10_PE Dataset

This link takes you to Eurostat's Labor Force Survey (LFS) data, which includes datasets related to employment, unemployment, and other labor force indicators across EU countries. You can navigate and search for NAMQ_10_PE by using Eurostat’s filtering and search tools. Here, you can download data in various formats such as CSV, Excel, or TSV.

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.

Gross domestic product (GDP) is a measure for the economic activity. It refers to the value of the total output of goods and services produced by an economy, less intermediate consumption, plus net taxes on products and imports. GDP per capita is calculated as the ratio of GDP to the average population in a specific year. Basic figures are expressed in purchasing power standards (PPS), which represents a common currency that eliminates the differences in price levels between countries to allow meaningful volume comparisons of GDP. The values are also offered as an index calculated 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. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU aggregates is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of economic activity between the EU Member States.

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

With most EU Member States participating in the Economic and Monetary Union (EMU), infra-annual economic statistics for the euro area and the European Union as a whole are of great importance for collective and private decision-making. The momentum of the EU economies, in particular the euro area economy, has to be assessed continuously.

The special domain of ‘Euro-indicators and Principal European Economic Indicators (PEEIs)’ is dedicated to infra-annual economic statistics such as consumer prices, national accounts, balance of payments, external trade, industry, trade and services, labour market, as well as a selection of monetary and financial indicators of the European Central Bank (ECB) and business and consumer survey results from the European Commission’s Directorate-General for Economic and Financial Affairs (DG ECFIN).

A dedicated section on Eurostat’s website provides more information about the domain and gives access to the related datasets in Eurostat’s online database. Data are available for the euro area, the European Union and for individual countries.

There are nine topics within the domain, each one of which has specific metadata:

• Balance of payments: ei_bp_esms
• Business and consumers surveys: ei_bcs_esms
• Consumer prices: ei_cp_esms
• Housing prices: prc_hpi_inx_esms (metadata of the source dataset)
• Industry, trade and services: ei_is_esms
• International trade: ei_et_esms
• Labour market: une_rt_m_esms, lci_esms, jvs_esms (metadata of the source dataset)
• Monetary and financial indicators: ei_mf_esms
• National accounts: ei_qna_esms

With the exception of the results from business and consumer surveys, all Euro indicators and PEEIs are based on other datasets of Eurostat. The metadata files per topic contain links to the metadata files of the source datasets.

This reference list contains publications and data sets concerning the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it. Research was carried out The creation of this list is the result of a review of literature and databases as part of the implementation by the Krakow University of Economics of tasks resulting from Task Package no. 1 included in the ODDEA project In the "ODDEA" project some Work Packages were prepared. In Work Package no 1, which is called "The state-of-the-art analysis of the underlying factors of the digital divide within the EU and within the Southeast Asia", the main objective was defined as: "To provide an overview of the literature and existing indicators on the state of digitalization and digital divide in Europe and Southeast Asia including factors affecting it". This task is based on the literature review and on the qualitative analysis of recently published indicators (e.g., EIBIS, 2021, CIS of Eurostat, World Bank enterprise dataset) and other relevant country based surveys. This analysis will enable to identify possible economic, social, political, and technological factors that may explain the digital divide in the EU and in the Southeast Asia and formulate relevant hypotheses for individual EU countries, groups/clusters, the European Union as a whole and the Southeast Asia and project countries in that region. A deeper analysis of these clusters will also help to identify any idiosyncratic features that these countries share regarding the use of digital technologies, which will be used in the empirical study implemented within subsequent WPs. Adopting the assumptions and objective presented in WP1, appropriate identification was made in the scope of the Literature Review in the relation to the Polish economy as a member of the European Union (EU). Because two partners in ODDEA were from Poland – it means AGH University and Krakow University of Economics, the division of the collected bibliography into specific databases between these research centres was developed. The Krakow University of Economics was responsible for finding relevant literature from the following databases: Statistics Poland EBSCOhost (Polish language only) INFONA Legalis (CH Beck) Lex Informator prawno-gospodarczy (Legal and economic guide) ORBIS SWAiD Platforma Analityczna (Analitical Platform of Statistics Poland) The preparation of the ODDEA domestic literature database (in this example for Poland) is an important component of the implementation of the objective under WP1 of this project.

European Union Exports: EU 27E: United States: Crude Mate, Inedible Except Fuels data was reported at 0.403 EUR bn in Feb 2025. This records a decrease from the previous number of 0.434 EUR bn for Jan 2025. European Union Exports: EU 27E: United States: Crude Mate, Inedible Except Fuels data is updated monthly, averaging 0.204 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 0.674 EUR bn in May 2022 and a record low of 0.093 EUR bn in May 2009. European Union Exports: EU 27E: United States: Crude Mate, Inedible Except Fuels data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA050: Eurostat: Trade Statistics: By SITC: European Union: United States.

Trade Balance: EU 27E: United States: Other Manufactured Products data was reported at 5.255 EUR bn in Feb 2025. This records an increase from the previous number of 4.277 EUR bn for Jan 2025. Trade Balance: EU 27E: United States: Other Manufactured Products data is updated monthly, averaging 2.197 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 5.885 EUR bn in Jul 2022 and a record low of 0.731 EUR bn in Jan 2009. Trade Balance: EU 27E: United States: Other Manufactured Products data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA050: Eurostat: Trade Statistics: By SITC: European Union: United States.

This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).

When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.

The data is presented for OECD countries individually, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.

These indicators were presented in the previous dissemination system in the QNA dataset.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Exports: swda: EU 27E: United States: Raw Materials data was reported at 0.424 EUR bn in Feb 2020. This records a decrease from the previous number of 0.492 EUR bn for Jan 2020. Exports: swda: EU 27E: United States: Raw Materials data is updated monthly, averaging 0.250 EUR bn from Jan 2002 (Median) to Feb 2020, with 218 observations. The data reached an all-time high of 0.492 EUR bn in Jan 2020 and a record low of 0.135 EUR bn in May 2009. Exports: swda: EU 27E: United States: Raw Materials data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA048: Eurostat: Trade Statistics: By SITC: European Union: United States.

Imports: swda: EU 27E: United States: Food, Drink and Tobacco data was reported at 0.902 EUR bn in Feb 2025. This records an increase from the previous number of 0.820 EUR bn for Jan 2025. Imports: swda: EU 27E: United States: Food, Drink and Tobacco data is updated monthly, averaging 0.499 EUR bn from Jan 2002 (Median) to Feb 2025, with 278 observations. The data reached an all-time high of 0.902 EUR bn in Feb 2025 and a record low of 0.296 EUR bn in Mar 2007. Imports: swda: EU 27E: United States: Food, Drink and Tobacco data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA050: Eurostat: Trade Statistics: By SITC: European Union: United States.

Exports to European Union in the United States increased to 30423.97 USD Million in February from 29808.03 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports to European Union.

This dataset presents country-level tariff rates charged to the United States during the Trump administration, alongside discounted reciprocal tariffs the U.S. might have charged in return. It highlights the trade imbalances and protectionist policies in place at the time. Useful for trade policy analysis, political science research, and data visualization. The values were originally expressed in decimal format (e.g., 0.10 = 10%) but have been converted to percentage format for clarity. 📊 Column Descriptions ..Country The name of the country or economic union (e.g., China, European Union).

..Tariffs charged to the USA (%) The average tariff percentage imposed by each country on goods imported from the United States.

..U.S.A. Discounted Reciprocal Tariffs (%) Hypothetical reciprocal tariff rates the U.S. would charge if it applied the same discount factor used by the other country toward the U.S.

The value of goods and services purchased or produced by general government and directly supplied to private households for consumption purposes. Expressed in million euro (current prices) and as a percentage of the gross domestic product (GDP).