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

Gross domestic product (GDP) at current market prices by NUTS 2 regions GDP per cap growth GDP per cap relative to EU PPS per cap PPS per cap relative to EU GDP growth

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

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

This dataset shows the evolution of per capita Gross Domestic Product (GDP) in US dollars in El Salvador, Guatemala, Honduras, and Nicaragua, comparing GDP per capita. The data has been assessed based on the information obtained from World Bank Group.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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.

Comparison of quarterly country and regional GDP estimates by industry and region from our latest published timeseries, compiled using the new methodology of constraining to national totals against previously published estimates compiled using the old methodology.

Economic production - GDP

International comparison of UK general government gross debt and general government deficit as percentage of GDP.

Monthly estimate of gross domestic product (GDP) containing constant price gross value added (GVA) data for the UK.

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 dataset provides quarterly insights into the economic performance of Trinidad and Tobago, focusing on Gross Domestic Product (GDP) at producer prices and other related indicators.

This dataset is about regions in the Americas. It has 4 rows. It features 3 columns: GDP, and health expenditure per capita.

This table provides data from Quarterly National Accounts (QNA) of Statistics The Netherlands. It contains quarterly and annual data on production, expenditures, income and external economic transactions of The Netherlands. Data available from 1995. Status of the figures: Annual data of the period 1995-2022 are final. Quarterly data from 2022 are provisional. Changes as of April 30th 2025: Data of the preliminary estimate of 2025q1 have been added to this table. Adjustment as of July 12th 2024: Data of gross fixed capital formation by type of capital good and by destination in the period 1995-2021 are adjusted due to an error in the original calculation. When will new figures be published? The preliminary estimate (flash estimate) of a quarter is released within 45 days. The second estimate is published after 85 days. At the second estimate of the fourth quarter, data of the previous three quarters will also be revised. If (new) annual figures become available in June, the quarterly figures will be revised again to bring them in line with the annual figures. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the latest figures.

Data from 1st of December 2021. 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 per year in Georgia. It has 64 rows. It features 4 columns: country, country full name, and GDP.

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 per year in Central Asia. It has 320 rows. It features 4 columns: country, GDP, and hospital beds.

Supporting data for 2 region and 51 region models assessed in the manuscript "Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States". Includes results of the correlation and relative errors analysis, results in kg/$ intensities for the 17 commodities from the 2 region models and the 51 region model, the 51-region model Make and Use tables, 10 NEI emissions and water withdrawal data aggregated by the 15 BEA sectors, interstate commodity flow data aggregated by BEA sectors between states, BEA national level Make and Use tables for 2012 at sector level, and state GDP data. This dataset is associated with the following publication: Yang, Y., W. Ingwersen, and D. Meyer. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 99: 52-57, (2018).

Changes in Gross Domestic Product compared to the previous period, categories of resources, average prices of 2000