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This dataset provides values for GDP GROWTH ANNUAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterThe 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.
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TwitterThis statistic shows the 20 countries with the highest growth of the gross domestic product (GDP) in 2024. In 2024, Guyana ranked 1st with an estimated GDP growth of approximately 43.57 percent compared to the previous year. GDP around the world Gross domestic product (GDP) is an indicator of the monetary value of all goods and services produced by a nation in a specific time period. GDP is a strong index of a country’s economic strength - the higher the GDP of a nation, the stronger that country’s economy. The countries in the world with the highest GDP or GDP per capita are mainly developed and emerging countries, with global gross domestic product amounting to nearly 75 trillion U.S. dollars. As of 2016, the United States is the nation in the world with the highest GDP with more than 18.56 trillion U.S. dollars, which makes up more than 15.7 percent of the global GDP. The countries with the lowest gross domestic product per capita in 2014 were mainly African nations. The country in the world with the lowest GDP per capita in 2016 was South Sudan, followed by Malawi, and Burundi. However, several economically struggling African and Asian countries such as Myanmar, Côte d'Ivoire, Bhutan, and India reported the highest growth of the gross domestic product in 2016. Also in the top 20 nations with the highest growth of the GDP is China. In 2016, the GDP in China was the second highest GDP in the world. It is estimated that by 2019 the GDP in China will grow by 6 percent. Based on this estimate, GDP in China will be at around 14.6 trillion U.S. dollars by 2019.
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TwitterThis 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
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This dataset provides annual GDP data for 196 countries from 2005 to 2025, measured in USD billions. Data is sourced from the International Monetary Fund (IMF).
Coverage: 196 countries + header row Time span: 2005–2024 (reported), 2025 (projected) Notable trends: The data clearly shows the impact of the 2008 global financial crisis and the 2020 COVID-19 pandemic on world economies. Missing values: In some cases, GDP values are unavailable because countries did not report them.
Trend analysis — Study global and regional GDP growth patterns across two decades.
Forecasting models — Train ARIMA, Prophet, LSTM, or other models to predict future GDP.
Comparative studies — Benchmark economic performance between countries, continents, or economic blocs (e.g., G7, BRICS).
Impact assessment — Analyze the effect of global events such as the 2008 crisis and COVID-19 on GDP.
Correlation research — Combine with other datasets (population, inflation, CO₂ emissions) for cross indicator analysis.
Visualization projects — Build dashboards, choropleth maps, or interactive charts to illustrate global growth.
Educational use — Teach concepts of macroeconomics, time series data, and forecasting in classrooms.
Investment & policy insights — Support macro level decision making, financial market analysis, or policy research.
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The effect of digitalization on economic growth is examined with reference to a cobb-Douglas production function. So, the dependent variable is the economic growth measured by the Gross Domestic Product per capita measured at 2015 constant US dollars. To reproduce the digitalization, we consider four indicators which are : 1. Number of fixe subscriptions (per 100 people) 2. Number of mobile cellular subscriptions (per 100 people) 3. Number of broadband subscriptions (per 100 people) 4. Number of individuals using the internet (%of population) 5. Digitalization level as obtained by applying a PCA Moreover, we include several macro-economic variables as control variables which affect the relationship between Digitalization and economic growth: 6. Investment measured by gross fixed capital formation (as percentage of GDP). 7. Trade openness which is a country’s trade volume used as a proxy for the degree of openness of a country’s economy (as percentage of GDP) and which is measured as the sum of imports and exports. 8. Labor force which is the total of labor force participation rate. 9. Inflation is measured by the consumer price index (%). 10. Population 11. Consumption is the government consumption expenditure for goods and services (as a percentage of GDP).
Finance, Economic Growth, Information and Communication Technologies, Emerging Country, Developing Countries
Abderrazek ELKHALDI,Nadia Sghaier,Monia Chikhaoui
Data Source: https://data.mendeley.com/datasets/ctm7vvpp7n/1
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Country-wise GDP growth rate forecast for 2025 based on IMF World Economic Outlook data.
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This dataset provides values for FULL YEAR GDP GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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The "Per Capita GDP of All Countries 1970 to 2022" dataset provides a comprehensive overview of the economic performance of all countries in the world from 1970 to 2022 in US Dollar. This dataset includes several key columns:
Country: This column lists the names of the countries included in the dataset. Year: This column indicates the specific year for which the GDP data is recorded from 1970 to 2022. By analyzing this dataset, you can observe trends in economic growth, identify periods of significant economic change, and compare the economic performance of different countries over time. This information is valuable for economists, researchers, policymakers, and anyone interested in understanding the economic history and development of nations.
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The average for 2024 based on 175 countries was 5.3 index points. The highest value was in the Central African Republic: 9.3 index points and the lowest value was in Finland: 1.7 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.
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The Penn World Table has long been a standard data source for those interested in comparing living standards across countries and explaining differences in cross-country growth. The article describing version 5.6 (Summers and Heston 1991), is among the most widely cited papers in economics with well over 1000 citations. This version (9.0) attempts to mitigate many concerns raised since. See this article for additional discussion.
Database with information on relative levels of income, output, input and productivity, covering 182 countries between 1950 and 2014. See legend, user guide and source for additional information.
This file contains the data of PWT 9.0, as available on www.ggdc.net/pwt. Please refer to www.ggdc.net/pwt for extensive documentation of the different concepts and how these data were constructed.
When using these data, please refer to the following paper available for download at www.ggdc.net/pwt:
Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table"" American Economic Review, 105(10), 3150-3182.
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TwitterGuyana had the highest real gross domestic product (GDP) in the Americas in 2023, reaching ** percent. Panama followed behind with *** percent. On the other hand, the GDP of Haiti decreased by *** percent in 2023.
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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.
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
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.
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Key information about US Nominal GDP Growth
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TwitterTThe 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.
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Key information about EU Nominal GDP Growth
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TwitterIn 2020, the forecasted economic growth in Thailand amounted to minus *** percent, this was then forecasted to increase over the following year. The economic growth throughout Southeast Asian countries was either forecasted to decrease or increase by less than *** percent in 2020. The stunted economic growth can be attributed to the outbreak of the coronavirus, which caused the economic shutdown of many Southeast Asian markets.
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This dataset was created by Delroy Jordon
Released under Apache 2.0
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This dataset provides annual GDP data for all recognized countries from 2015 to 2025, sourced from the IMF. Figures for 2015–2024 are reported values, while 2025 contains projections as the year is not yet complete. For some countries (such as Afghanistan and a few others), certain years are missing due to data not being reported. The dataset is well-suited for: 1) Trend analysis – Study global GDP growth patterns over the past decade. 2) Forecasting models – Train machine learning models to predict future GDP values. 3) Country comparisons – Compare economic performance between countries or regions. 4) Time-series learning – Practice ARIMA, Prophet, LSTM, and other forecasting techniques. 5) Impact studies – Analyze the impact of global events (e.g., COVID-19) on GDP. 6) Correlation analysis – Link GDP with other indicators (population, inflation, CO₂ emissions). 7) Regional studies – Examine differences between continents or economic blocs (EU, ASEAN, G7, BRICS). 8) Inequality measurement – Compare GDP distribution across developed vs. developing economies. 9) Visualization projects – Create dashboards, heatmaps, or choropleth maps of GDP data. 10) Educational use – Use the dataset in economics, finance, or data science courses as a teaching resource.
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This dataset provides values for GDP GROWTH RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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This dataset provides values for GDP GROWTH ANNUAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.