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

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:

• Granular: Data is provided at the following geographical units:
  • NUTS3 (e.g. London Boroughs),
  • NUTS2 (e.g. London),
  • NUTS1 (e.g. England), and
  • NUTS0 (e.g. United Kingdom) levels.
• Frequent: Data is provided every month from January 2015. This is more frequent than the annualised official datasets.
• Timely: Data is provided with a one month lag (i.e. the data for January 2021 was published at the end of February 2021). This is substantially quicker than the 18 month lag of official datasets.
• Accurate: Our dataset uses Deep Learning to maximise accuracy (RMSE 1.2%).

The dataset can be used by:

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

We have created this dataset for all UK sub-national regions, 28 EU Countries and Switzerland.

The gross domestic product of the United Kingdom was around 2.56 trillion British pounds, an increase when compared to the previous year, when UK GDP amounted to about 2.54 trillion pounds. The significant drop in GDP visible in 2020 was due to the COVID-19 pandemic, with the smaller declines in 2008 and 2009 because of the global financial crisis of the late 2000s. Low growth problem in the UK Despite growing by 0.9 percent in 2024, and 0.4 percent in 2023 the UK economy is not that much larger than it was before the COVID-19 pandemic. Since recovering from a huge fall in GDP in the second quarter of 2020, the UK economy has alternated between periods of contraction and low growth, with the UK even in a recession at the end of 2023. While economic growth picked up somewhat in 2024, GDP per capita is lower than it was in 2022, following two years of negative growth. UK's global share of GDP falling As of 2024, the UK had the sixth-largest economy in the world, behind the United States, China, Japan, Germany, and India. Among European nations, this meant that the UK currently has the second-largest economy in Europe, although the economy of France, Europe's third-largest economy, is of a similar size. The UK's global economic ranking will likely fall in the coming years, however, with the UK's share of global GDP expected to fall from 2.16 percent in 2025 to 2.02 percent by 2029.  

Abstract copyright UK Data Service and data collection copyright owner.

The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material.
The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files.

Main Topics:

The files in this dataset relate to the datafiles held in the Leicester database in the directory /frindic/*.*. The data were compiled for the purpose of calculating real increases in taxation over time.
File Information
g098fin1.* European exchange rates, 1600-1775: Paris livres tournois to 100 pounds sterling
g098ind1.* The value of the livre tournois in grams of fine silver, 1513-1785
g098ind2.* French mint output expressed in terms of livres tournois, 1308-1791
g098ind7.* Paris wheat prices, harvest years, 1521-1698
g098ind8.* French wheat prices, calendar years, 1701-1817
g098ind9.* Wheat prices at Paris, calendar years, 1431-1788

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

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 collection contains an array of economic time series data pertaining to the United States, the United Kingdom, Germany, and France, primarily between the 1920s and the 1960s, and including some time series from the 18th and 19th centuries. These data were collected by the National Bureau of Economic Research (NBER), and they constitute a research resource of importance to economists as well as to political scientists, sociologists, and historians. Under a grant from the National Science Foundation, ICPSR and the National Bureau of Economic Research converted this collection (which existed heretofore only on handwritten sheets stored in New York) into fully accessible, readily usable, and completely documented machine-readable form. The NBER collection -- containing an estimated 1.6 million entries -- is divided into 16 major categories: (1) construction, (2) prices, (3) security markets, (4) foreign trade, (5) income and employment, (6) financial status of business, (7) volume of transactions, (8) government finance, (9) distribution of commodities, (10) savings and investments, (11) transportation and public utilities, (12) stocks of commodities, (13) interest rates, and (14) indices of leading, coincident, and lagging indicators, (15) money and banking, and (16) production of commodities. Data from all categories are available in Parts 1-22. The economic variables are usually observations on the entire nation or large subsets of the nation. Frequently, however, and especially in the United States, separate regional and metropolitan data are included in other variables. This makes cross-sectional analysis possible in many cases. The time span of variables in these files may be as short as one year or as long as 160 years. Most data pertain to the first half of the 20th century. Many series, however, extend into the 19th century, and a few reach into the 18th. The oldest series, covering brick production in England and Wales, begins in 1785, and the most recent United States data extend to 1968. The unit of analysis is an interval of time -- a year, a quarter, or a month. The bulk of observations are monthly, and most series of monthly data contain annual values or totals. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR07644.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Techsalerator’s Import/Export Trade Data for Europe

Techsalerator’s Import/Export Trade Data for Europe offers a meticulously detailed and expansive analysis of trade activities across the European continent. This robust data resource provides an in-depth examination of import and export transactions involving companies in a wide range of industries within the European Union (EU) and the broader European region.

Coverage Across All EU Countries

The dataset encompasses all 27 EU member countries, ensuring a comprehensive overview of trade dynamics across the region. This includes:

Austria Belgium Bulgaria Croatia Cyprus Czech Republic Denmark Estonia Finland France Germany Greece Hungary Ireland Italy Latvia Lithuania Luxembourg Malta Netherlands Poland Portugal Romania Slovakia Slovenia Spain Sweden Comprehensive Data Features

Transaction Details: Each record in the dataset provides granular details on individual trade transactions, including the nature of goods or services exchanged, quantities, values, and transaction dates.

Company Information: Data includes specific information about the trading companies involved, such as company names, addresses, and sectors, allowing for targeted analysis and business insights.

Categorization: Transactions are categorized by industry sectors, product categories, and trade partners, providing clarity on market trends and sector-specific performance.

Trade Trends: The dataset includes historical trade trends and patterns, helping users analyze shifts in trade volumes, emerging markets, and economic impacts over time.

Geographical Insights: Users can explore regional trade flows and cross-border trade dynamics within the EU and with non-EU European countries.

Regulatory and Compliance Data: Information on relevant trade regulations, tariffs, and compliance requirements is included, assisting businesses in navigating the complex regulatory landscape of international trade.

Applications and Benefits

Market Research: Businesses can leverage the data to identify new market opportunities, track competitor activities, and assess the demand for specific products across different European regions.

Strategic Planning: Companies can use the insights to develop more effective trade strategies, optimize supply chains, and manage risks associated with international trade.

Economic Analysis: Analysts and policymakers can use the data to monitor economic performance, understand trade imbalances, and make informed decisions on trade policies and economic development initiatives.

Techsalerator’s Import/Export Trade Data for Europe is a vital tool for any organization involved in international trade, providing a detailed, reliable, and comprehensive view of the trade landscape across Europe.

Central research question of the study:Recent historical studies tend to see the revolutions of 1848 caused by the emergence of radical ideas and a long-lasting phase of socio-economic problems. Many contemporary observers interpreted the events, however, as a consequence of direct economic reasons, in particular the dramatic food shortages that had to suffer the continent from 1845 to 1847, and the subsequent slump in industrial production. In applying quantitative standard methods to a data set of 27 European countries, Spoerer and Berger show that primarily immediately preceding grievances and fear of these grievances were basis, who had caused the European revolutions of 1848.Contents of the study are the grain prices in Europe for the years from 1815 to 1860. The price series are available for several European countries. Data can be downloaded via the online-database histat. Territory of investigation: Germany and it’s single territories: incl. Prussian provinces), Denmark, England, Finland, France (Seine-et-Oise), Lombardy (Milan), the Netherlands (Utrecht), Norway, Austria (Lower Austria, including Vienna), Portugal (Lisbon), Russia (Moscow), Spain (Barzelona), Sweden (Stockholm ), Switzerland, Hungary (Pest), Vatican (Rome).

Survey method, sources: Publications of the official Statistics and of scientific literature. - Baden (BAD, Mannheim and Heidelberg): Grain prices in Germany since the end of the 18th Jahrunderts. In: Vierteljahreshefte zur Statistik des Deutschen Reichs 44 (1935), I.273-321.- Bavaria (BAV, Munich): Seuffert, George K.: Statistics of grain and victuals-commerce in the Kingdom of Bavaria, with consideration of other countries. Munich: Weiß, (1857), 124- Belgium (Bel): Seuffert, George K.: Statistics of grain and victuals-commerce in the Kingdom of Bavaria, with consideration of other countries. Munich: Weiß, (1857), 401- Bohemia (BOH, Prague): Schebek, Edmund: Collektiv exhibition of contributions to the history of the prize for the world exhibition in 1873 organized by the Vienna Chamber of Commerce and Industry in Prague. Prague: Mercy (1873), 99-101.- Brunswick (Bru): Soetbeer, Adolph: Contributions to the statistics of prices, Hamburg: Kuempel, (1858).- Bremen (Bremen): Gerhard, Hans-Jürgen and Kaufhold, Charles Henry: Prices in the pre-and early industrial Germany. Grundnahrumgsmittel. Göttingen: Schwartz (1990), 204 f- Denmark (Den, Copenhagen, 1819-1850): Weisz, B.: Grain prices in the XIX. Century, with particular reference to price fluctuations. In: Statistical monthly 3 (1877): 345-370, 393-401. Wheat prices 1819-32 extrapolated using rye prices listed in Földers (1905): Grain prices in the 19 Century, S. 489th The correlation between wheat and rye-series 1833-50 is 0.72.- England (eng; London): Rostow, Walt W.: British Economy of the Nineteenth Century. Oxford: Oxford University Press, 1948. Likewise: Weisz, B.: Grain prices in the XIX. Century, with particular reference to price fluctuations. In: Statistische Monatsschrift 3 (1877): 345-370, 393-401. Crafts, N.F.R. and C. Knick Harley: Output Growth and the British Industrial Revolution. In: Economic History Review 45, no. 4 (1992), 703-730.- Finland (fin): Földers, Béla: Grain prices in 19th Century. In: Journal of Economics and Statistics. 3rd series 29 (1905), 467-518.- France (FRAN, district of Seine-et-Oise, surrounding Paris): Labrousse, Ernest, Ruggiero Romano and F.-G. Dreyfus: Le prix du froment en France au temps de la monnaie stable (1726-1913). Paris: SEVPEN, 1970.- Hamburg (HAM). Grain prices in Germany since the end of the 18th Jahrunderts. In: Vierteljahreshefte zur Statistik des Deutschen Reichs 44 (1935), I.273-321.- Hesse (HES, 1822-1850): Releases the Hessian Corporation for National Statistics 5 (1871).- Lombardy (LOM; Milan): Maddalena, Aldo de, e Prezzi Mercedi a Milano dal 1701 al 1860th. Milan: Banca Commerciale, 1974.- Mecklenburg (MEC; Rostock): Grain prices in the Grand Duchy of Mecklenburg-Schwerin during the period from 1771 to 1870. Beiträge zur Statistik Mecklenburgs (Contributions to Statistics Mecklenburg) 7, no. 3/4 (1873).- Holland (Net; Utrecht): Posthumus, Nicolaas W. and F. Ketner: Inquiry into the History of Prices in Holland. Vol 2nd Leiden: Brill, 1964.- Norway (NOR; 1820-1850): Földers, Béla: Grain prices in the 19 Century. In: Journal of Economics and Statistics. 3rd series 29 (1905), 467-518.- Austria (AUS, Lower Austria, Vienna contains): Földers, Béla: Grain prices in the 19 Century. In: Jahrbücher für Nationalökonomie und Statistik. (Journal of Economics and Statistics.) 3rd series 29 (1905), 467-518.- Oldenburg (Old; rye prices from 1817 to 1850): the average price of grain and some other food in the Grand Duchy of Oldenburg from 1817 to 1858. Statistische Nachrichten über das Grossherzogthum Oldenburg (Statistical news of the Grand Duchy of Oldenburg), 4 (1860), 1-43.- Prussia (PRU; Berlin): 1815: Seuffert, George K.: Statistics of grain and victuals-commerce in the...

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.