17 datasets found
  1. List_of_countries_by_GDP_-PPP-

    • kaggle.com
    zip
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_countries_by_GDP_-PPP- [Dataset]. https://kaggle.com/datasets/mathurinache/list-of-countries-by-gdp--ppp-
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    zip(209 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

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

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  2. WWII: pre-war GDP of selected countries and regions 1938

    • statista.com
    Updated Jan 1, 1998
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    Statista (1998). WWII: pre-war GDP of selected countries and regions 1938 [Dataset]. https://www.statista.com/statistics/1334182/wwii-pre-war-gdp/
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    Dataset updated
    Jan 1, 1998
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1938
    Area covered
    World
    Description

    In 1938, the year before the Second World War, the United States had, by far, the largest economy in the world in terms of gross domestic product (GDP). The five Allied Great Powers that emerged victorious from the war, along with the three Axis Tripartite Pact countries that were ultimately defeated made up the eight largest independent economies in 1938.

    When values are converted into 1990 international dollars, the U.S. GDP was over 800 billion dollars in 1938, which was more than double that of the second largest economy, the Soviet Union. Even the combined economies of the UK, its dominions, and colonies had a value of just over 680 billion 1990 dollars, showing that the United States had established itself as the world's leading economy during the interwar period (despite the Great Depression).

    Interestingly, the British and Dutch colonies had larger combined GDPs than their respective metropoles, which was a key motivator for the Japanese invasion of these territories in East Asia during the war. Trade with neutral and non-belligerent countries also contributed greatly to the economic development of Allied and Axis powers throughout the war; for example, natural resources from Latin America were essential to the American war effort, while German manufacturing was often dependent on Swedish iron supplies.

  3. Top ten countries worldwide with highest GDP in 2050

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Top ten countries worldwide with highest GDP in 2050 [Dataset]. https://www.statista.com/statistics/674491/top-10-countries-with-highest-gdp/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    World
    Description

    This statistic shows the projected top ten largest national economies in 2050. By 2050, China is forecasted to have a gross domestic product of over 58 trillion U.S. dollars.

  4. List_of_countries_by_GDP_-nominal-

    • kaggle.com
    zip
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_countries_by_GDP_-nominal- [Dataset]. https://www.kaggle.com/mathurinache/list-of-countries-by-gdp--nominal-
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    zip(217 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

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

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-nominal-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  5. List_of_African_countries_by_GDP_growth

    • kaggle.com
    zip
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_African_countries_by_GDP_growth [Dataset]. https://www.kaggle.com/mathurinache/list-of-african-countries-by-gdp-growth
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    zip(871 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

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

    Area covered
    Africa
    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_African_countries_by_GDP_growth. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  6. Breakdown of GDP per capita in G20 countries 2024 and 2029

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Breakdown of GDP per capita in G20 countries 2024 and 2029 [Dataset]. https://www.statista.com/statistics/722960/g20-country-gdp-levels-per-capita/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    Worldwide
    Description

    In 2024, the United States was the G20 country with the largest gross domestic product per capita, with 68,200 international dollars per capita. The international dollar is a hypothetical currency accounting for purchasing power parity (PPP), assuming that the U.S. dollar would have the same value all around the world. Saudi Arabia had the second highest GDP per capita, followed by Germany. On the other hand, India had the lowest at only 8,000 dollars per capita.

  7. Dosya:Countries by GDP (PPP) per capita in 2018.png

    • wikipedia.tr-tr.nina.az
    Updated Mar 17, 2025
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    www.wikipedia.tr-tr.nina.az (2025). Dosya:Countries by GDP (PPP) per capita in 2018.png [Dataset]. https://www.wikipedia.tr-tr.nina.az/Dosya:Countries_by_GDP_(PPP)_per_capita_in_2018.png.html
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    Dataset updated
    Mar 17, 2025
    Dataset provided by
    Vikipedi//www.wikipedia.org/
    License

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

    Description

    Dosya Dosya geçmişi Dosya kullanımı Küresel dosya kullanımı Meta veriBu önizlemenin boyutu 800 405 piksel Diğer

  8. List_of_North_American_countries_by_GDP_-nominal-

    • kaggle.com
    zip
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_North_American_countries_by_GDP_-nominal- [Dataset]. https://www.kaggle.com/mathurinache/list-of-north-american-countries-by-gdp--nominal-
    Explore at:
    zip(247 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

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

    Area covered
    North America
    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_North_American_countries_by_GDP_-nominal-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  9. f

    Correlation between number of radios and television and the birth of...

    • figshare.com
    xls
    Updated Jun 5, 2023
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    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo (2023). Correlation between number of radios and television and the birth of memorable characters. [Dataset]. http://doi.org/10.1371/journal.pone.0205771.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo
    License

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

    Description

    We explore the correlation between the number of radios and televisions a country has each year, with the number of performing artists, sports players, and scientists born each year, after controlling for GDP, population, and adding country fixed effects and year fixed effects. Reported errors correspond to robust standard errors. All quantities are calculated yearly between 1850 and 1973, and are in log scale.

  10. Dosya:Nominal GDP of Countries Crimea edited.svg

    • wikipedia.tr-tr.nina.az
    Updated Mar 27, 2025
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    Dosya:Nominal GDP of Countries Crimea edited.svg [Dataset]. https://www.wikipedia.tr-tr.nina.az/Dosya:Nominal_GDP_of_Countries_Crimea_edited.svg.html
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    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Vikipedi//www.wikipedia.org/
    License

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

    Area covered
    Kırım Yarımadası
    Description

    Dosya Dosya geçmişi Dosya kullanımı Küresel dosya kullanımı Meta veriBu SVG dosyasının PNG önizlemesinin boyut

  11. Leading European cities by GDP in 2021

    • statista.com
    Updated Feb 13, 2025
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    Statista (2025). Leading European cities by GDP in 2021 [Dataset]. https://www.statista.com/statistics/923781/european-cities-by-gdp/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Europe
    Description

    The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

  12. Replication dataset for PIIE PB 24-9, Economic implications of revoking...

    • piie.com
    Updated Sep 17, 2024
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    Megan Hogan; Warwick J. McKibbin; Marcus Noland (2024). Replication dataset for PIIE PB 24-9, Economic implications of revoking China's permanent normal trade relations (PNTR) status by Megan Hogan, Warwick J. McKibbin, and Marcus Noland (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/economic-implications-revoking-chinas-permanent-normal-trade
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    Dataset updated
    Sep 17, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Megan Hogan; Warwick J. McKibbin; Marcus Noland
    Area covered
    China
    Description

    This data package includes the underlying data files to replicate the data and charts presented in Economic implications of revoking China's permanent normal trade relations (PNTR) status by Megan Hogan, Warwick J. McKibbin, and Marcus Noland, PIIE Policy Brief 24-9.

    If you use the data, please cite as: Hogan, Megan, Warwick J. McKibbin, and Marcus Noland. 2024. Economic implications of revoking China's permanent normal trade relations (PNTR) status, PIIE Policy Brief 24-9. Washington, DC: Peterson Institute for International Economics.

  13. Total bilateral aid allocations to Ukraine 2022-2024, by donor and type

    • statista.com
    Updated Feb 24, 2025
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    Statista (2025). Total bilateral aid allocations to Ukraine 2022-2024, by donor and type [Dataset]. https://www.statista.com/statistics/1303432/total-bilateral-aid-to-ukraine/
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    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 24, 2022 - Dec 31, 2024
    Area covered
    Ukraine, Worldwide
    Description

    From January 24, 2022, to December 31, 2024, the European Union (EU) institutions, such as the Commission and the EU Council, provided around 49 billion euros in bilateral financial, humanitarian, and military aid to Ukraine in view of the Russian invasion that started in February 2022. The highest value of allocations was recorded from the United States at over 114 billion euros. U.S. aid to Ukraine As of December 31, 2024, the value of U.S. bilateral aid allocations to Ukraine represented 0.53 percent of 2021 donor GDP. The U.S. donated the largest amount of bilateral military, financial, and humanitarian aid to Ukraine. Generally, U.S. foreign aid to Ukraine has increased since 2015. Where does military aid to Ukraine come from? The U.S., Germany, the United Kingdom (UK), and Denmark were the largest suppliers of military aid to Ukraine. In monetary terms, the U.S. bilateral military assistance to the country reached approximately 64 billion euros as of December 31, 2024. As part of that aid, the U.S. transported over 7,700 air defense missiles and over 1,600 air defense systems to Ukraine and other European partners as of January 2025. Furthermore, the U.S. delivered the most units of M777 howitzer artillery to the country.

  14. GDP share of cities in India 2024

    • statista.com
    Updated Nov 25, 2024
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    Statista (2024). GDP share of cities in India 2024 [Dataset]. https://www.statista.com/statistics/1400141/india-gdp-of-major-cities/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    India
    Description

    As of 2024, Mumbai had a gross domestic product of 368 billion U.S. dollars, the highest among other major cities in India. It was followed by Delhi with a GDP of around 167 billion U.S. dollars. India’s megacities also boast the highest GDP among other cities in the country. What drives the GDP of India’s megacities? Mumbai is the financial capital of the country, and its GDP growth is primarily fueled by the financial services sector, port-based trade, and the Hindi film industry or Bollywood. Delhi in addition to being the political hub hosts a significant services sector. The satellite cities of Noida and Gurugram amplify the city's economic status. The southern cities of Bengaluru and Chennai have emerged as IT and manufacturing hubs respectively. Hyderabad is a significant player in the pharma and IT industries. Lastly, the western city of Ahmedabad, in addition to its strategic location and ports, is powered by the textile, chemicals, and machinery sectors. Does GDP equal to quality of life? Cities propelling economic growth and generating a major share of GDP is a global phenomenon, as in the case of Tokyo, Shanghai, New York, and others. However, the GDP, which measures the market value of all final goods and services produced in a region, does not always translate to a rise in quality of life. Five of India’s megacities featured in the Global Livability Index, with low ranks among global peers. The Index was based on indicators such as healthcare, political stability, environment and culture, infrastructure, and others.

  15. The 20 countries with the highest trade surplus in 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Sep 27, 2024
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    Statista (2024). The 20 countries with the highest trade surplus in 2023 [Dataset]. https://www.statista.com/statistics/256642/the-20-countries-with-the-highest-trade-surplus/
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries with the highest trade surplus worldwide in 2023. In 2023, China was the country with the highest trade surplus with approximately 823.22 billion U.S. dollars. The leading trade nations Typically a trade surplus indicates a sign of economic success and a trade deficit indicates an economic weakness. However, if that were true, then the top four, China, Germany, Russia and Ireland, would be considered the best performing countries in the world. However, this would mean that the United States, Great Britain, India and France would be among the weakest nations considering that they are four countries with the highest trade deficit. In fact, they are leading industrial nations. While China is known for producing and exporting products at a competitive price, it has undervalued its exchange rate in order to promote exports. However, China is now working to reduce its reliance on exports even though they continue to export large and increasing quantities of goods. In the case of Germany, the value of the euro may not be high enough, however growth concerning the value of exports has slowed over the past few years. In contrast, the value of the dollar in the United States may be too high, favoring imports as opposed to exports.

  16. U.S. debt growth 1969-2023, by president

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). U.S. debt growth 1969-2023, by president [Dataset]. https://www.statista.com/statistics/1366899/percent-change-national-debt-president-us/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Adding to national debt is an inevitable fact of being President of the United States. The extent to which debt rises under any sitting president depends not only on the policy and spending choices they have made, but also the choices made by presidents and congresses that have come before them.

    Ronald Reagan and George W. Bush President Ronald Reagan increased the U.S. debt by around 1.86 trillion U.S. dollars, or 186.36 percent. This is often attributed to "Reaganomics," in which Reagan implemented significant supply-side economic policies in which he reduced government regulation, cut taxes, and tightened the money supply. Spending increased under President George W. Bush in light of the wars in Iraq and Afghanistan. To finance the wars, President Bush chose to borrow the money, rather than use war bonds or increase taxes, unlike previous war-time presidents. Additionally, Bush introduced a number of tax cuts, and oversaw the beginning of the 2008 financial crisis. Barack Obama President Obama inherited both wars in Iraq and Afghanistan, and the financial crisis. The Obama administration also did not increase taxes to pay for the wars, and additionally passed expensive legislation to kickstart the economy following the economic crash, as well as the Affordable Care Act in 2010. The ACA expanded healthcare coverage to cover more than 30 million more Americans through programs like Medicare and Medicaid. Though controversial at the time, more than half of Americans have a favorable view of the ACA in 2023. Additionally, he signed legislation making the W. Bush-era tax cuts permanent.

  17. Wealthiest cities Philippines 2023, by asset value

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Wealthiest cities Philippines 2023, by asset value [Dataset]. https://www.statista.com/statistics/1019020/wealthiest-cities-philippines-asset-value/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Philippines
    Description

    In 2023, Quezon was the wealthiest city in the Philippines, with approximately 449 billion Philippine pesos worth of assets. Following by a large margin was Makati City. In that year, the province of Cebu was the wealthiest province in the country.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Mathurin Aché (2020). List_of_countries_by_GDP_-PPP- [Dataset]. https://kaggle.com/datasets/mathurinache/list-of-countries-by-gdp--ppp-
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List_of_countries_by_GDP_-PPP-

List_of_countries_by_GDP_-PPP-.csv

Explore at:
233 scholarly articles cite this dataset (View in Google Scholar)
zip(209 bytes)Available download formats
Dataset updated
Jul 17, 2020
Authors
Mathurin Aché
License

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

Description

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

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