https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-_per_capita. 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?
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is extracted from https://en.wikipedia.org/wiki/List_of_Mexican_states_by_GDP_per_capita. 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?
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is extracted from https://en.wikipedia.org/wiki/List_of_Japanese_prefectures_by_GDP_per_capita. 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?
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dosya Dosya geçmişi Dosya kullanımı Küresel dosya kullanımı Meta veriBu önizlemenin boyutu 800 405 piksel Diğer
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
The gross domestic product (GDP) of Papua New Guinea (PNG) grew at an annual average rate of nearly 7% between 2007 and 2010, and is expected to perform even better in 2011. Moreover, the economy remained unaffected even at the peak of the global economic crisis, when most other major Southeast Asian and Pacific economies recorded low or negative GDP growth rates. Sound macroeconomic management in the recent past and planned initiatives such as the PNG LNG Project indicate that the economy will continue to perform well in the medium to long run. Nevertheless, the country faces a number of development challenges. Per capita GDP and its growth rate remain low. The economy is heavily dependent on the mining and resource sectors, and hence remains vulnerable to fluctuations in the global markets. A majority of the people in the labor force work in the informal sector, and opportunities for productive employment in the formal sector continue to grow very slowly. Provision of public services, including education, health, and safe drinking water and sanitation, remains inadequate, especially in the rural areas.
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.
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.
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.
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https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-_per_capita. 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?