63 datasets found
  1. T

    China GDP

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP [Dataset]. https://tradingeconomics.com/china/gdp
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. US Protectionism and Chinese Economic Growth

    • kaggle.com
    zip
    Updated Nov 1, 2025
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    OmenKj (2025). US Protectionism and Chinese Economic Growth [Dataset]. https://www.kaggle.com/datasets/omenkj/us-protectionism-and-chinese-economic-growth
    Explore at:
    zip(33441 bytes)Available download formats
    Dataset updated
    Nov 1, 2025
    Authors
    OmenKj
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    United States, China
    Description

    Description

    This dataset provides monthly economic indicators examining the relationship between US protectionist trade policies and Chinese economic growth from May 2022 to May 2025. The dataset can be used for academic research, statistical analysis, and educational purposes in international economics and trade policy studies.

    Context

    The dataset captures the economic dynamics during a period of heightened trade tensions between the United States and China. It includes comprehensive indicators of US protectionist measures and their potential impact on various dimensions of Chinese economic performance.

    Dataset Structure

    Time Period: May 2022 - May 2025 Frequency: Monthly Total Observations: 1127 Total Variables: 14

    Column Descriptions

    Date

    • Type: Categorical (YYYY-MM format)
    • Description: Month and year of observation

    US Protectionism Indicators

    US_Tariff_Index

    • Type: Continuous
    • Range: 100-120
    • Description: Tariff rate index where 100 represents the baseline. Higher values indicate increased protectionist measures.

    US_Trade_Restrictions

    • Type: Discrete
    • Range: 5-15
    • Description: Number of new trade restrictions implemented per month, including tariffs, quotas, and non-tariff barriers.

    US_AntiDumping_Cases

    • Type: Discrete
    • Range: 0-12
    • Description: Number of anti-dumping cases filed against Chinese products per month.

    US_Trade_Policy_Uncertainty

    -Type: Continuous - Range: 90-160 - Description: Index measuring uncertainty in trade policy (0-200 scale). Higher values indicate greater uncertainty.

    Chinese Growth Indicators

    China_GDP_Growth_YoY

    • Type: Continuous
    • Unit: Percentage (%)
    • Range: 3.5-5.5%
    • Description: Year-over-year GDP growth rate for China.

    China_Industrial_Production_YoY

    • Type: Continuous
    • Unit: Percentage (%)
    • Range: 2.5-5.0%
    • Description: Year-over-year change in industrial production output.

    China_Exports_Growth_YoY

    • Type: Continuous
    • Unit: Percentage (%)
    • Range: 0-15%
    • Description: Year-over-year growth rate of Chinese exports.

    China_Manufacturing_PMI

    • Type: Continuous
    • Range: 47-52
    • Description: Purchasing Managers' Index for manufacturing sector. Values >50 indicate expansion, <50 indicate contraction.

    China_FDI_Inflow_USD_Billion

    • Type: Continuous
    • Unit: Billion USD
    • Range: 7-15
    • Description: Monthly foreign direct investment inflows into China.

    Bilateral Trade Indicators

    US_China_Trade_Volume_USD_Billion

    • Type: Continuous
    • Unit: Billion USD
    • Range: 40-60
    • Description: Total monthly bilateral trade volume between US and China.

    US_Trade_Deficit_China_USD_Billion

    • Type: Continuous
    • Unit: Billion USD
    • Range: -32 to -24
    • Description: US trade deficit with China. Negative values indicate deficit.

    Additional Economic Indicators

    USD_CNY_Exchange_Rate

    • Type: Continuous
    • Range: 6.7-7.3
    • Description: Exchange rate expressing yuan per US dollar.

    China_Stock_Index

    • Type: Continuous
    • Range: 2,800-3,500
    • Description: Shanghai Composite Stock Index (normalized).
  3. economic_CHINA

    • kaggle.com
    zip
    Updated Dec 12, 2023
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    willian oliveira (2023). economic_CHINA [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/economic-china
    Explore at:
    zip(1853639 bytes)Available download formats
    Dataset updated
    Dec 12, 2023
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    China
    Description

    How the Chinese Economy Works

    The Chinese economy is the second largest in the world, after the United States. It is a mixed economy, with elements of both capitalism and socialism. The government plays a significant role in the economy, but there is also a growing private sector.

    Agriculture

    Agriculture is a major sector of the Chinese economy, employing about 25% of the workforce. China is a major producer of rice, wheat, corn, soybeans, and cotton. The country is also a leading producer of fruits, vegetables, and livestock.

    Manufacturing

    Manufacturing is the largest sector of the Chinese economy, accounting for about 40% of GDP. China is a major producer of a wide range of goods, including electronics, textiles, apparel, and machinery. The country is also a major exporter of manufactured goods.

    Services

    Services are the third largest sector of the Chinese economy, accounting for about 45% of GDP. This sector includes a wide range of activities, such as finance, transportation, real estate, and tourism.

    Government

    The government plays a significant role in the Chinese economy. The government owns and operates many state-owned enterprises, which are important players in the economy. The government also regulates the economy through a variety of policies, such as tariffs, subsidies, and taxes.

    Private Sector

    The private sector is growing in importance in the Chinese economy. Private companies are playing an increasing role in manufacturing, services, and other sectors. The government is encouraging the growth of the private sector by reducing regulations and providing support for small businesses.

    Challenges

    The Chinese economy faces a number of challenges, including:

    Inequality: The gap between the rich and the poor is growing in China. Environmental degradation: China is facing serious environmental problems, such as air pollution and water pollution. Political stability: The Chinese government is facing increasing challenges to its authority. Outlook

    The Chinese economy is expected to continue to grow in the coming years. However, the growth is likely to slow down as the country faces the challenges mentioned above.

    Conclusion

    The Chinese economy is a complex and dynamic system. It is a mix of capitalism and socialism, with a significant role for the government. The economy is growing rapidly, but it also faces a number of challenges.

  4. A

    China Agricultural and Economic Data

    • data.amerigeoss.org
    • datasets.ai
    • +2more
    Updated Jul 30, 2019
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    United States[old] (2019). China Agricultural and Economic Data [Dataset]. https://data.amerigeoss.org/tr/dataset/china-agricultural-and-economic-data
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    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China
    Description

    The China agricultural and economic database is a collection of agricultural-related data from official statistical publications of the People's Republic of China. Analysts and policy professionals around the world need information about the rapidly changing Chinese economy, but statistics are often published only in China and sometimes only in Chinese-language publications. This product assembles a wide variety of data items covering agricultural production, inputs, prices, food consumption, output of industrial products relevant to the agricultural sector, and macroeconomic data.

  5. T

    China GDP per capita

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). China GDP per capita [Dataset]. https://tradingeconomics.com/china/gdp-per-capita
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product per capita in China was last recorded at 13121.68 US dollars in 2024. The GDP per Capita in China is equivalent to 104 percent of the world's average. This dataset provides - China GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. U.S. Public Debt vs. GDP

    • kaggle.com
    zip
    Updated Jan 6, 2023
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    The Devastator (2023). U.S. Public Debt vs. GDP [Dataset]. https://www.kaggle.com/datasets/thedevastator/u-s-public-debt-vs-gdp-from-1947-2020
    Explore at:
    zip(4093 bytes)Available download formats
    Dataset updated
    Jan 6, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    U.S. Public Debt vs. GDP

    Trends and Comparisons

    By Charlie Hutcheson [source]

    About this dataset

    This dataset contains quarterly data on the US Gross Domestic Product (GDP) and Total Public Debt from 1947 through 2020. It provides a comprehensive view into the development of debt versus GDP over the years, offering insights into how our economy has grown and changed since The Great Depression. Explore this valuable information to answer questions such as: How do debt and GDP relate to one another? Has US government spending been outpacing wealth throughout history? From what sources does our national debt originate? This dataset can be utilized by economists, governments, researchers, investors, financial institutions, journalists — anyone looking to gain a better understanding of where our economy stands today compared to past decades

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset, U.S. GDP vs Debt Over Time, contains quarterly data on the Gross Domestic Product (GDP) and Total Public Debt of the United States between 1947 to 2020. This can be useful for conducting research into how the total public debt relates to economic growth in the US.

    The dataset includes 4 columns: Quarter , Gross Domestic Product ($mil), Total Public Debt ($mil). The Quarter column consists of strings that represent each quarter from 1947-2020 with a corresponding number (e.g., “Q1-1947”). The Gross Domestic Product ($mil) and Total Public Debt ($mil) columns consist of numbers that indicate the respective amounts in millions for each quarter during this same time period.

    By analyzing this dataset you can explore various trends over different periods as it relates to public debt versus economic growth in America and make informed decisions about how certain policies may affect future outcomes. Additionally, you could also compare these two values with other variables such as unemployment rate or inflation rate to gain deeper insights into America’s economy over time

    Research Ideas

    • Comparing the quarterly growth in GDP with public debt to show the correlation between economic growth and government spending.
    • Creating a bar or line visualization that compares the US’s total public debt to comparable economic powers like China, Japan, and Europe over time.
    • Examining how changes in government deficit have contributed towards an increase in public debt by analyzing which quarters saw significant leaps of growth from one year to the next

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

    Columns

    File: US GDP vs Debt.csv | Column name | Description | |:----------------------------------|:-------------------------------------------------------------------------------------------| | Quarter | The quarter of the year in which the data was collected. (String) | | Gross Domestic Product ($mil) | The total value of all goods and services produced by the US in a given quarter. (Integer) | | Total Public Debt ($mil) | The total amount owed by the federal government. (Integer) |

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Charlie Hutcheson.

  7. T

    China GDP Annual Growth Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). China GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/china/gdp-growth-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1989 - Sep 30, 2025
    Area covered
    China
    Description

    The Gross Domestic Product (GDP) in China expanded 4.80 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides - China GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Data from: Economy of the United States

    • kaggle.com
    zip
    Updated Mar 22, 2023
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    Raj Kumar Pandey (2023). Economy of the United States [Dataset]. https://www.kaggle.com/datasets/rajkumarpandey02/economy-of-the-united-states/data
    Explore at:
    zip(1402 bytes)Available download formats
    Dataset updated
    Mar 22, 2023
    Authors
    Raj Kumar Pandey
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    CONTENT

    The United States is a highly developed mixed economy. It is the world's largest economy by nominal GDP, and the second-largest by purchasing power parity (PPP) behind China. It has the world's seventh-highest per capita GDP (nominal) and the eighth-highest per capita GDP (PPP) as of 2022. The U.S. accounted for 24.7% of the global economy in 2022 in nominal terms, and around 15.5% in PPP terms. The U.S. dollar is the currency of record most used in international transactions and is the world's foremost reserve currency, backed by a large U.S. treasuries market, its role as the reference standard for the petrodollar system, and its linked euro dollar. Several countries use it as their official currency and in others it is the de facto currency.

  9. 💰 Global GDP Dataset (Latest)

    • kaggle.com
    zip
    Updated Oct 17, 2025
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    Asadullah Shehbaz (2025). 💰 Global GDP Dataset (Latest) [Dataset]. https://www.kaggle.com/datasets/asadullahcreative/global-gdp-explorer-2024-world-bank-un-data
    Explore at:
    zip(6672 bytes)Available download formats
    Dataset updated
    Oct 17, 2025
    Authors
    Asadullah Shehbaz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🧾 About Dataset

    🌍 Global GDP by Country — 2024 Edition

    📖 Overview

    The Global GDP by Country (2024) dataset provides an up-to-date snapshot of worldwide economic performance, summarizing each country’s nominal GDP, growth rate, population, and global economic contribution.

    This dataset is ideal for economic analysis, data visualization, policy modeling, and machine learning applications related to global development and financial forecasting.

    📊 Dataset Information

    • Total Records: 181 countries
    • Time Period: 2024 (latest available global data)
    • Geographic Coverage: Worldwide
    • File Format: CSV
    • File Size: ~10 KB
    • Missing Values: None (100% complete dataset)

    🎯 Target Use-Cases:
    - Economic growth trend analysis
    - GDP-based country clustering
    - Per capita wealth comparison
    - Share of world economy visualization

    🧩 Key Features

    Feature NameDescription
    CountryOfficial country name
    GDP (nominal, 2023)Total nominal GDP in USD
    GDP (abbrev.)Simplified GDP format (e.g., “$25.46 Trillion”)
    GDP GrowthAnnual GDP growth rate (%)
    Population 2023Estimated population for 2023
    GDP per capitaAverage income per person (USD)
    Share of World GDPPercentage contribution to global GDP

    📈 Statistical Summary

    Population Overview

    • Mean Population: 43.6 million
    • Standard Deviation: 155.5 million
    • Minimum Population: 9,816 (small island nations)
    • Median Population: 9.1 million
    • Maximum Population: 1.43 billion (China)

    🌟 Highlights

    💰 Top Economies (Nominal GDP):
    United States, China, Japan, Germany, India

    📈 Fastest Growing Economies:
    India, Bangladesh, Vietnam, and Rwanda

    🌐 Global Insights:
    - The dataset covers 181 countries representing 100% of global GDP.
    - Suitable for data visualization dashboards, AI-driven economic forecasting, and educational research.

    💡 Example Use-Cases

    • Build a choropleth map showing GDP distribution across continents.
    • Train a regression model to predict GDP per capita based on population and growth.
    • Compare economic inequality using population vs GDP share.

    📚 Dataset Citation

    Source: Worldometers — GDP by Country (2024)
    Dataset compiled and cleaned by: Asadullah Shehbaz
    For open research and data analysis.

  10. Economic Data - 9 Countries (1980-2020)

    • kaggle.com
    zip
    Updated Jul 2, 2022
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    Pratik Shinde (2022). Economic Data - 9 Countries (1980-2020) [Dataset]. https://www.kaggle.com/datasets/pratik453609/economic-data-9-countries-19802020
    Explore at:
    zip(10441 bytes)Available download formats
    Dataset updated
    Jul 2, 2022
    Authors
    Pratik Shinde
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    The dataset contains data for 8 countries and one special administrative region (China, France, Germany, Hong Kong, India, Japan, Spain, United Kingdom and United States of America) from 1980 through 2020. It include major macroeconomic factors like inflation, unemployment, GDP, exchange rate (base USD) and per capita income. Apart from that it has the stock prices of the respective country's major stock index which can help in analysing the data set to identify the impact of major macroeconomic variables on the movement of stock index prices.

  11. m

    Gross_Domestic_Product_Current_USD - China

    • macro-rankings.com
    csv, excel
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    macro-rankings, Gross_Domestic_Product_Current_USD - China [Dataset]. https://www.macro-rankings.com/selected-country-rankings/Gross-Domestic-Product-Current-USD/China
    Explore at:
    excel, csvAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Time series data for the statistic Gross_Domestic_Product_Current_USD and country China. Indicator Definition:GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.The statistic "Gross Domestic Product Current USD" stands at 18,743,803,170,827.20 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.59 percent compared to the value the year prior.The 1 year change in percent is 2.59.The 3 year change in percent is 2.98.The 5 year change in percent is 28.73.The 10 year change in percent is 75.59.The Serie's long term average value is 3,590,131,888,959.60 United States Dollars. It's latest available value, on 12/31/2024, is 422.09 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1962, to it's latest available value, on 12/31/2024, is +39,518.50%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

  12. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
    + more versions
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    (2025). International Macroeconomic Dataset (2015 Base) [Dataset]. https://datasource.kapsarc.org/explore/dataset/international-macroeconomic-data-set-2015/
    Explore at:
    Dataset updated
    Oct 26, 2025
    Description

    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.

  13. C

    GVAR Data associated with: China's Emergence in the World Economy and...

    • data.iadb.org
    xls
    Updated Apr 10, 2025
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    IDB Datasets (2025). GVAR Data associated with: China's Emergence in the World Economy and Business Cycles in Latin America [Dataset]. http://doi.org/10.60966/lwl7yy3a
    Explore at:
    xls(481280)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    IDB Datasets
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1979 - Jan 1, 2009
    Area covered
    Latin America, China
    Description

    This is the data used for the estimation of the GVAR model as in "China's Emergence in the World Economy and Business Cycles in Latin America" (access the study in the related URL Section). The dataset includes quarterly data for twenty-five major advanced and emerging economies plus the euro area, covering more than 90 percent of world GDP. The variables included in the dataset are real GDP, CPI inflation, real equity prices, real exchange rates, short-term and long-term interest rates, and the price of oil. Updates of this dataset -together with the baseline GVAR code- can be found in the Related URL section below. Years covered: 1979 - 2009.

  14. A

    China Dimensions Data Collection: China County-Level Data from Provincial...

    • data.amerigeoss.org
    html, jpeg
    Updated Jul 26, 2019
    + more versions
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    United States[old] (2019). China Dimensions Data Collection: China County-Level Data from Provincial Economic Yearbooks, Keyed to 1:1M GIS Map [Dataset]. https://data.amerigeoss.org/de/dataset/china-dimensions-data-collection-china-county-level-data-from-provincial-economic-yearbook
    Explore at:
    html, jpegAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Area covered
    China
    Description

    China Dimensions Data Collection: China County-Level Data on Provincial Economic Yearbooks, Keyed To 1:1M GIS Map consists of socioeconomic and boundary data for the administrative regions of China for 1990 and 1991. The socioeconomic data includes natural resources, population, employment, investment, wage, public finance, price, people's livelihood, agriculture, industry, energy, production, transportation, telecommunication, construction, trade, tourism, environmental protection, education, science, patents, culture, sports, health care, and social welfare. The boundary data are at a scale of one to one million (1:1M) at the county level. This dataset is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of Michigan Center of China Studies (CCS), and the Columbia University Center for International Earth Science Information Network (CIESIN).

  15. Replication dataset and calculations for PIIE PB 21-18 by Lovely, Mary E.,...

    • piie.com
    • bjyol.com
    Updated Jul 27, 2021
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    Mary E. Lovely; David Xu; Yinhan Zhang (2021). Replication dataset and calculations for PIIE PB 21-18 by Lovely, Mary E., David Xu, and Yinhan Zhang (2021). [Dataset]. https://www.piie.com/publications/policy-briefs/2021/collateral-benefits-south-korean-exports-united-states-and-us-china
    Explore at:
    Dataset updated
    Jul 27, 2021
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Mary E. Lovely; David Xu; Yinhan Zhang
    Description

    This data package includes the underlying data and programs to replicate the calculations, regressions, charts, and tables presented in Collateral benefits? South Korean exports to the United States and the US-China trade war, PIIE Policy Brief 21-18.

    If you use the data, please cite as: Lovely, Mary E., David Xu, and Yinhan Zhang. 2021. Collateral benefits? South Korean exports to the United States and the US-China trade war. PIIE Policy Brief 21-18. Washington: Peterson Institute for International Economics.

  16. Replication dataset for PIIE WP 23-8, How trade cooperation by the United...

    • piie.com
    Updated Oct 10, 2023
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    Chad P. Bown; Kimberly Clausing (2023). Replication dataset for PIIE WP 23-8, How trade cooperation by the United States, the European Union, and China can fight climate change by Chad P. Bown and Kimberly A. Clausing (2023). [Dataset]. https://www.piie.com/publications/working-papers/2023/how-trade-cooperation-united-states-european-union-and-china-can
    Explore at:
    Dataset updated
    Oct 10, 2023
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown; Kimberly Clausing
    Area covered
    China, United States, European Union
    Description

    This data package includes the underlying data files to replicate the data and charts presented in How trade cooperation by the United States, the European Union, and China can fight climate change, PIIE Working Paper 23-8.

    If you use the data, please cite as: Bown, Chad P., and Kimberly A. Clausing. 2023. How trade cooperation by the United States, the European Union, and China can fight climate change. PIIE Working Paper 23-8. Washington, DC: Peterson Institute for International Economics.

  17. Global Economic Calendar

    • kaggle.com
    zip
    Updated Oct 26, 2025
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    EL Younes (2025). Global Economic Calendar [Dataset]. https://www.kaggle.com/datasets/youneseloiarm/global-economic-calendar
    Explore at:
    zip(6937287 bytes)Available download formats
    Dataset updated
    Oct 26, 2025
    Authors
    EL Younes
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    📝 Description

    This dataset contains over 400,000 macroeconomic events collected from global sources across more than 90 countries and regions, covering years 2020–2025. It mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets.

    Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.

    You can use this dataset for:

    • 📈 Economic forecasting and sentiment analysis
    • 💹 Financial market event-driven modeling
    • 🧠 Machine learning applications on macroeconomic signals
    • 🌍 Comparative studies of country-level indicators

    📊 Dataset Structure

    ColumnDescription
    idUnique identifier for each event
    dateDate of the economic event (YYYY-MM-DD)
    timeTime of release (local or UTC depending on source)
    zoneCountry or region associated with the event
    currencyISO 3-letter currency code (e.g., USD, EUR, JPY)
    importanceEvent impact level on markets: low / medium / high
    eventDescription or title of the event (e.g., “CPI YoY”, “GDP Growth Rate”)
    actualReported actual value (if available)
    forecastExpected or forecasted value (if available)
    previousPreviously reported value (if available)

    🌐 Coverage

    • Zones: 90+ economies — including United States, Euro Zone, China, Japan, United Kingdom, India, Brazil, Australia, Türkiye, South Africa, and more.
    • Currencies: USD, EUR, JPY, GBP, CNY, INR, and 50+ others.
    • Time Period: ~2000 to 2025 (depending on data availability).
    • Events Count: 409,234 records.

    ⚙️ Data Quality Notes

    • Missing values in currency, importance, or actual columns occur mainly for minor or regional events.
    • Times are reported as given in the source; some may represent local times.
    • The dataset is cleaned and standardized for country and currency fields but can be further enriched with ISO country codes or UTC timestamps.

    🧠 Example Use Cases

    1. Market Volatility Forecasting: Use event importance and actual-vs-forecast deviations to predict short-term asset volatility.
    2. Macroeconomic Trends: Track inflation or employment releases over time by country or region.
    3. Event Sentiment Modeling: NLP on the event column for topic clustering (e.g., inflation vs. housing).
    4. Calendar Effect Studies: Combine with asset price data (SPX, EURUSD, etc.) to measure event-driven reactions.

    📦 File Info

    • economic_calendar.csv

      • 409,234 rows
      • 10 columns
      • Size: ~31 MB

    🏁 Tags

    economics, macroeconomics, finance, forex, stock-market, forecasting, time-series, machine-learning, econometrics
    

    🔗 Suggested License

    If it’s scraped or aggregated from public calendars (like Investing.com), use: CC BY-NC-SA 4.0 — Attribution-NonCommercial-ShareAlike.

  18. k

    Real GDP Growth Projections

    • datasource.kapsarc.org
    Updated Sep 24, 2025
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    (2025). Real GDP Growth Projections [Dataset]. https://datasource.kapsarc.org/explore/dataset/real-gdp-growth-projections/
    Explore at:
    Dataset updated
    Sep 24, 2025
    Description

    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.

  19. T

    China GDP per capita PPP

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China GDP per capita PPP [Dataset]. https://tradingeconomics.com/china/gdp-per-capita-ppp
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1990 - Dec 31, 2024
    Area covered
    China
    Description

    The Gross Domestic Product per capita in China was last recorded at 23845.62 US dollars in 2024, when adjusted by purchasing power parity (PPP). The GDP per Capita, in China, when adjusted by Purchasing Power Parity is equivalent to 134 percent of the world's average. This dataset provides - China GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. H

    Replication Data for: Political Costs of Trade War Tariffs

    • dataverse.harvard.edu
    Updated Sep 16, 2023
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    Edward D. Mansfield; Omer Solodoch (2023). Replication Data for: Political Costs of Trade War Tariffs [Dataset]. http://doi.org/10.7910/DVN/S1USLQ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Edward D. Mansfield; Omer Solodoch
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We analyze whether--and, if so, how--Americans reacted to the escalation of the trade war between the United States and China in June 2018. To address this issue, we leverage surveys conducted in the U.S. during this phase of the economic clash. We find a significant reduction in support for Donald Trump and his trade policy immediately following the announcement of retaliatory tariffs by the Chinese government. Moreover, respondents’ economic concerns about the trade war were primarily sociotropic and only weakly related to personal pocketbook considerations or local exposure to Chinese retaliatory tariffs. We also find that the trade war's intensification was politically consequential, decreasing support for Republican candidates in the 2018 midterm elections. Our findings indicate that trade wars can be politically costly for incumbent politicians, even among voters who are not directly affected by retaliatory tariffs.

Share
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TRADING ECONOMICS (2024). China GDP [Dataset]. https://tradingeconomics.com/china/gdp

China GDP

China GDP - Historical Dataset (1960-12-31/2024-12-31)

Explore at:
297 scholarly articles cite this dataset (View in Google Scholar)
csv, json, excel, xmlAvailable download formats
Dataset updated
Mar 14, 2024
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1960 - Dec 31, 2024
Area covered
China
Description

The Gross Domestic Product (GDP) in China was worth 18743.80 billion US dollars in 2024, according to official data from the World Bank. The GDP value of China represents 17.65 percent of the world economy. This dataset provides - China GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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