22 datasets found
  1. 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.

  2. 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?

  3. Top ten countries worldwide with highest GDP in 2050

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). 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
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Worldwide
    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 ** trillion U.S. dollars.

  4. n

    ගොනුව:GDP (PPP) by country.svg

    • wiki-data.si-lk.nina.az
    Updated Jun 20, 2024
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    (2024). ගොනුව:GDP (PPP) by country.svg [Dataset]. https://www.wiki-data.si-lk.nina.az/%E0%B6%9C%E0%B7%9C%E0%B6%B1%E0%B7%94%E0%B7%80:GDP_(PPP)_by_country.svg.html
    Explore at:
    Dataset updated
    Jun 20, 2024
    License

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

    Description

    ග න ව ග න ඉත හ සය ග න භ ව තය ග ල ය ග න භ ව තය ප රදත තSize of this PNG preview of this SVG file 800 406 ප ක සල අන ක ත ව භ

  5. List_of_countries_by_GDP_-PPP-

    • kaggle.com
    zip
    Updated Jul 17, 2020
    + more versions
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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?

  6. List_of_African_countries_by_GDP_growth

    • kaggle.com
    zip
    Updated Jul 17, 2020
    + more versions
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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?

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

    • statista.com
    Updated Apr 16, 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
    Apr 16, 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 ****** 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 ***** dollars per capita.

  8. Growth of the global gross domestic product (GDP) 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 20, 2025
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    Statista (2025). Growth of the global gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/273951/growth-of-the-global-gross-domestic-product-gdp/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    In most years since 1980, global GDP growth has been relatively consistent, generally fluctuating between two and five percent growth from year to year. The most notable exceptions to this were during the Great Recession in 2009, and again in 2020 during the Covid-19 pandemic, where the global economy actually shrank in both of these years. As the world economy continues to deal with the economic impact of the pandemic, as well as the fallout from Russia's invasion of Ukraine in 2022, the future remains uncertain, however current estimates suggest that annual growth will return to steady figures of around 3 percent in 2029.

  9. Leading European cities by GDP in 2021

    • statista.com
    • ai-chatbox.pro
    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.

  10. A

    ‘GapMinder - Income Inequality’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Apr 1, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘GapMinder - Income Inequality’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-gapminder-income-inequality-7f0b/latest
    Explore at:
    Dataset updated
    Apr 1, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘GapMinder - Income Inequality’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/psterk/income-inequality on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Content

    This analysis focuses on income inequailty as measured by the Gini Index* and its association with economic metrics such as GDP per capita, investments as a % of GDP, and tax revenue as a % of GDP. One polical metric, EIU democracy index, is also included.

    The data is for years 2006 - 2016

    This investigation can be considered a starting point for complex questions such as:

    1. Is a higher tax revenue as a % of GDP associated with less income inequality?
    2. Is a higher EIU democracy index associated with less income inequality?
    3. Is higher GDP per capita associated with less income inequality?
    4. Is higher investments as a % of GDP associated with less income inequality?

    This analysis uses the gapminder dataset from the Gapminder Foundation. The Gapminder Foundation is a non-profit venture registered in Stockholm, Sweden, that promotes sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic and environmental development at local, national and global levels.

    *The Gini Index is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measurement of inequality. It was developed by the Italian statistician and sociologist Corrado Gini and published in his 1912 paper Variability and Mutability.

    The dataset contains data from the following GapMinder datasets:

    EIU Democracy Index:

    "This democracy index is using the data from the Economist Inteligence Unit to express the quality of democracies as a number between 0 and 100. It's based on 60 different aspects of societies that are relevant to democracy universal suffrage for all adults, voter participation, perception of human rights protection and freedom to form organizations and parties. The democracy index is calculated from the 60 indicators, divided into five ""sub indexes"", which are:

    1. Electoral pluralism index;
    2. Government index;
    3. Political participation indexm;
    4. Political culture index;
    5. Civil liberty index.

    The sub-indexes are based on the sum of scores on roughly 12 indicators per sub-index, converted into a score between 0 and 100. (The Economist publishes the index with a scale from 0 to 10, but Gapminder has converted it to 0 to 100 to make it easier to communicate as a percentage.)" https://docs.google.com/spreadsheets/d/1d0noZrwAWxNBTDSfDgG06_aLGWUz4R6fgDhRaUZbDzE/edit#gid=935776888

    Income: GDP per capita, constant PPP dollars

    GDP per capita measures the value of everything produced in a country during a year, divided by the number of people. The unit is in international dollars, fixed 2011 prices. The data is adjusted for inflation and differences in the cost of living between countries, so-called PPP dollars. The end of the time series, between 1990 and 2016, uses the latest GDP per capita data from the World Bank, from their World Development Indicators. To go back in time before the World Bank series starts in 1990, we have used several sources, such as Angus Maddison. https://www.gapminder.org/data/documentation/gd001/

    Investments (% of GDP)

    Capital formation is a term used to describe the net capital accumulation during an accounting period for a particular country. The term refers to additions of capital goods, such as equipment, tools, transportation assets, and electricity. Countries need capital goods to replace the older ones that are used to produce goods and services. If a country cannot replace capital goods as they reach the end of their useful lives, production declines. Generally, the higher the capital formation of an economy, the faster an economy can grow its aggregate income.

    Tax revenue (% of GDP)

    refers to compulsory transfers to the central governement for public purposes. Does not include social security. https://data.worldbank.org/indicator/GC.TAX.TOTL.GD.ZS

    Context

    Gapminder is an independent Swedish foundation with no political, religious or economic affiliations. Gapminder is a fact tank, not a think tank. Gapminder fights devastating misconceptions about global development. Gapminder produces free teaching resources making the world understandable based on reliable statistics. Gapminder promotes a fact-based worldview everyone can understand. Gapminder collaborates with universities, UN, public agencies and non-governmental organizations. All Gapminder activities are governed by the board. We do not award grants. Gapminder Foundation is registered at Stockholm County Administration Board. Our constitution can be found here.

    Acknowledgements

    Thanks to gapminder.org for organizing the above datasets.

    Inspiration

    Below are some research questions associated with the data and some initial conclusions:

    Research Question 1 - Is Income Inequality Getting Worse or Better in the Last 10 Years?

    Answer:

    Yes, it is getting better, improving from 38.7 to 37.3

    On a continent basis, all were either declining or mostly flat, except for Africa.

    Research Question 2 - What Top 10 Countries Have the Lowest and Highest Income Inequality?

    Answer:

    Lowest: Slovenia, Ukraine, Czech Republic, Norway, Slovak Republic, Denmark, Kazakhstan, Finland, Belarus,Kyrgyz Republic

    Highest: Colombia, Lesotho, Honduras, Bolivia, Central African Republic, Zambia, Suriname, Namibia, Botswana, South Africa

    Research Question 3 Is a higher tax revenue as a % of GDP associated with less income inequality?

    Answer: No

    Research Question 4 - Is Higher Income Per Person - GDP Per Capita associated with less income inequality?

    Answer: No, but weak negative correlation.

    Research Question 5 - Is Higher Investment as % GDP associated with less income inequality?

    Answer: No

    Research Question 6 - Is Higher EIU Democracy Index associated with less income inequality?

    Answer: No, but weak negative correlation.

    The above results suggest that there are other drivers for the overall reduction in income inequality. Futher analysis of additional factors should be undertaken.

    --- Original source retains full ownership of the source dataset ---

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

    • wikipedia.tr-tr.nina.az
    Updated Jul 4, 2025
    + more versions
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    www.wikipedia.tr-tr.nina.az (2025). 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
    Explore at:
    Dataset updated
    Jul 4, 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 üstveriBu SVG dosyasının PNG önizlemesinin boyutu 512 260 pi

  12. T

    GOLD RESERVES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2014
    + more versions
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    TRADING ECONOMICS (2014). GOLD RESERVES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gold-reserves
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2014
    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
    2025
    Area covered
    World
    Description

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

  13. 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
    Explore at:
    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.

  14. Gross domestic product of the ASEAN countries from 2020 to 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). Gross domestic product of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796245/gdp-of-the-asean-countries/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, the estimated total GDP of all ASEAN states amounted to approximately 3.8 trillion U.S. dollars, a significant increase from the previous years. In fact, the GDP of the ASEAN region has been skyrocketing for a few years now, reflecting the region’s thriving economy. Power in the EastThe Association of Southeast Asian Nations (ASEAN) comprises Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam. It was established in 1967 among five of these countries (Indonesia, Malaysia, Thailand, Singapore, and the Philippines) to facilitate trade and economic growth, as well as promote cultural development and social structures in the region. To date, they have been joined by another five nations. The ASEAN marketThe founding of the ASEAN organization provides the collaborating nations with more autonomy and influence on the global economy than they would have had by themselves. Additionally, struggling participating countries, such as Laos, are given an opportunity to grow on an ASEAN single market.

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

    • wikipedia.tr-tr.nina.az
    Updated Jun 25, 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
    Explore at:
    Dataset updated
    Jun 25, 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 üstveriBu önizlemenin boyutu 800 405 piksel Diğer çözünürlük

  16. T

    China Exports By Country

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). China Exports By Country [Dataset]. https://tradingeconomics.com/china/exports-by-country
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 26, 2017
    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
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China's total Exports in 2024 were valued at US$3.58 Trillion, according to the United Nations COMTRADE database on international trade. China's main export partners were: the United States, Hong Kong and Vietnam. The top three export commodities were: Electrical, electronic equipment; Machinery, nuclear reactors, boilers and Vehicles other than railway, tramway. Total Imports were valued at US$2.59 Trillion. In 2024, China had a trade surplus of US$991.41 Billion.

  17. S

    Indeed Statistics And Facts (2025)

    • sci-tech-today.com
    Updated Jun 23, 2025
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    Sci-Tech Today (2025). Indeed Statistics And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/indeed-statistics-updated/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Indeed Statistics: Indeed is one of the world's largest job search sites, and it is used by applicants and employers around the globe. By 2024, it will be one of the most critical job search websites since it can provide much-needed background information on the direction of employment trends, pay data, and user behavior.

    Indeed, it currently operates in more than 60 countries, provides services in 28 languages, and covers 94% of the global GDP. Indeed's main objective is to assist the world in getting hired, which it does through the concerted efforts of over 14,600 dedicated employees working together worldwide. Some Indeed statistics below offer information about the impact Indeed has on the job search market in 2024.

  18. Total bilateral aid allocations to Ukraine 2022-2025, by donor and type

    • statista.com
    • ai-chatbox.pro
    Updated May 23, 2025
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    Statista (2025). Total bilateral aid allocations to Ukraine 2022-2025, by donor and type [Dataset]. https://www.statista.com/statistics/1303432/total-bilateral-aid-to-ukraine/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 24, 2022 - Feb 28, 2025
    Area covered
    Ukraine, Worldwide
    Description

    From January 24, 2022, to February 28, 2025, the European Union (EU) institutions, such as the Commission and the EU Council, provided around 52.1 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 February 28, 2025, 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 64.6 billion euros as of February 28, 2025. 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.

  19. w

    Centraal Bureau voor de Statistiek

    • data.wu.ac.at
    atom feed, json
    Updated Feb 12, 2013
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    Centraal Bureau voor de Statistiek (2013). Centraal Bureau voor de Statistiek [Dataset]. https://data.wu.ac.at/odso/data_overheid_nl/MjE4OTc5OTgtYWQ5Ni00ZDExLWJmMTAtNGEyMDg3YTIxZDFh
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    json, atom feedAvailable download formats
    Dataset updated
    Feb 12, 2013
    Dataset provided by
    cbs.nl
    License

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

    Area covered
    b5f7d2fd03e5e7823e73de02d5436d1725a4d290
    Description

    In this table international comparisons are made of macroeconomic conditions on the basis of a number of elementary performance indicators: - Inflation; - Long-term interest rate; - Net borrowing/lending of consolidated general government sector; - General government debt; - Unemployment; - Imports and exports, related to Gross Domestic Product (GDP); - Goods trade with non-EU countries; - Container transport. These indicators give an overall picture of the international competitive position of a country. The macroeconomic circumstances define the basic climate within which companies develop their activities. Good macroeconomic conditions ensure a favourable climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 up to 2012. Status of the figures: The external sources of these data frequently supply adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 22 December 2017: No, table is stopped. When will new figures be published? Not.

  20. n

    දදේනි (ක්‍රශසා) අනුව රටවල් ලැයිස්තුව

    • wiki-data.si-lk.nina.az
    Updated Jun 19, 2024
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    (2024). දදේනි (ක්‍රශසා) අනුව රටවල් ලැයිස්තුව [Dataset]. https://www.wiki-data.si-lk.nina.az/%E0%B6%AF%E0%B6%AF%E0%B7%9A%E0%B6%B1%E0%B7%92_(%E0%B6%9A%E0%B7%8A%E2%80%8D%E0%B6%BB%E0%B7%81%E0%B7%83%E0%B7%8F)_%E0%B6%85%E0%B6%B1%E0%B7%94%E0%B7%80_%E0%B6%BB%E0%B6%A7%E0%B7%80%E0%B6%BD%E0%B7%8A_%E0%B6%BD%E0%B7%90%E0%B6%BA%E0%B7%92%E0%B7%83%E0%B7%8A%E0%B6%AD%E0%B7%94%E0%B7%80.html
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    Dataset updated
    Jun 19, 2024
    License

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

    Description

    Largest economies in the world by PPP GDP in 2023 according to International Monetary Fund estimates දද න ක රශස එස ත න ත

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

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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.

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