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

Dataset Card for 100 Richest People In World

  Dataset Summary

This dataset contains the list of Top 100 Richest People in the World Column Information:-

Name - Person Name NetWorth - His/Her Networth Age - Person Age Country - The country person belongs to Source - Information Source Industry - Expertise Domain

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[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.

United States US: Account: Income: Richest 60%: % Aged 15+ data was reported at 97.904 % in 2014. This records an increase from the previous number of 92.810 % for 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data is updated yearly, averaging 95.357 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 97.904 % in 2014 and a record low of 92.810 % in 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, richest 60%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

Graph and download economic data for Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01134) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

In the build up to the Second World War, the United States was the major power with the highest gross domestic product (GDP) per capita in the world. In 1938, the United States also had the highest overall GDP in the world, and by a significant margin, however differences in GDP per person were much smaller. Switzerland In terms of countries that played a notable economic role in the war, the neutral country of Switzerland had the highest GDP per capita in the world. A large part of this was due to the strength of Switzerland's financial system. Most major currencies abandoned the gold standard early in the Great Depression, however the Swiss Franc remained tied to it until late 1936. This meant that it was the most stable, freely convertible currency available as the world recovered from the Depression, and other major powers of the time sold large amounts of gold to Swiss banks in order to trade internationally. Switzerland was eventually surrounded on all sides by Axis territories and lived under the constant threat of invasion in the war's early years, however Swiss strategic military planning and economic leverage made an invasion potentially more expensive than it was worth. Switzerland maintained its neutrality throughout the war, trading with both sides, although its financial involvement in the Holocaust remains a point of controversy. Why look at GDP per capita? While overall GDP is a stronger indicator of a state's ability to fund its war effort, GDP per capita is more useful in giving context to a country's economic power in relation to its size and providing an insight into living standards and wealth distribution across societies. For example, Germany and the USSR had fairly similar GDPs in 1938, whereas Germany's per capita GDP was more than double that of the Soviet Union. Germany was much more industrialized and technologically advanced than the USSR, and its citizens generally had a greater quality of life. However these factors did not guarantee victory - the fact that the Soviet Union could better withstand the war of attrition and call upon its larger population to replenish its forces greatly contributed to its eventual victory over Germany in 1945.

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

This article investigates the relationship between the increasing concentration of income among the wealthiest households, the increasing geographic concentration of the wealthiest households, and relative changes in state per capita income. An increasing share of the super-rich accounts for much of the difference in income growth between the richest northeastern states and the rest of the country. Several other states with fast-growing income levels, however, experienced more balanced growth.

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.

The average for 2023 based on 183 countries was 26826 U.S. dollars. The highest value was in Luxembourg: 130491 U.S. dollars and the lowest value was in Burundi: 829 U.S. dollars. The indicator is available from 1990 to 2023. Below is a chart for all countries where data are available.

Graph and download economic data for Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1311) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

According to the Hurun Global Rich List 2025, the United States housed the highest number of billionaires worldwide in 2025. In detail, there were *** billionaires living in the United States as of January that year. By comparison, *** billionaires resided in China. India, the United Kingdom, and Germany were also the homes of a significant number of billionaires that year. United States has regained its first place As the founder and exporter of consumer capitalism, it is no surprise that the United States is home to a large number of billionaires. Although China had briefly overtaken the U.S. in recent years, the United States has reclaimed its position as the country with the most billionaires in the world. Moreover, North America leads the way in terms of the highest number of ultra high net worth individuals – those with a net worth of more than ***** million U.S. dollars. The prominence of Europe and North America is a reflection of the higher degree of economic development in those states. However, this may also change as China and other emerging economies continue developing. Female billionaires Moreover, the small proportion of female billionaires does little to counter critics claiming the global economy is dominated by an elite comprised mainly of men. On the list of the 20 richest people in the world, only one was a woman. Moreover, recent political discourse has put a great amount of attention on the wealth held by the super-rich with the wealth distribution of the global population being heavily unequal.

The discovery of oil has had a huge impact on economics and politics within the Middle East, as well as the region’s relationship with the west and the way regional standards of living. Before the discovery of oil, fishing and pearling were the primary economic sectors of many Gulf States. After the discovery of oil and due to the immense value of oil, many Middle East countries made oil their economic focus, changing livelihood of their people in just a few decades. One example is Kuwait, whose economy focused mainly on fishing and pearling prior to the discovery of oil in 1934. Now, oil extraction and processing accounts for 50% of the country’s GDP, 90% of export earnings, and 75% of government revenues1. Typically, the more oil a country exports the less economically diverse it is. Booz & Company did a study to look at the economic diversity of the Gulf States, which are very oil-rich, in comparison to the rest of the world, and found that the economic diversity of the GCC (the countries of Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) was much lower than that of European or other “western” states3. Since oil is a nonrenewable resource it will become important for these countries to diversify their economies and become independent of oil as reserve levels decline. Recently, attempts of economic diversification have been made in several oil diverse nations such as the aluminum smelting industry in Bahrain, Qatar, and the UAE, taken up as an attempt to diversify their economy6; however, the reason that the industry of aluminum smelting has grown in these counties is because aluminum smelting requires immense amounts of oil. Therefore, the economics of these counties is in reality not that diversified. The Export Diversity Index is defined as the number of prominent commodities a country exports. Goods made from the same derivative, such as crude oil and petroleum products, were categorized as belonging in the same industry for simplicity purposes. The data represented in the map was obtained from lists of each country's ten most lucrative exports, and the index ranges on a scale of 1 to 10 different exports4. We noticed that the countries with the greatest volume oil resources had the lowest score on the index because more goods they produced were related to the oil industry. The map of oil reserves gives a good visual representation of which Middle Eastern countries are the most oil-rich, and shows a high concentration of marks in the Gulf states, particularly the in the Persian Gulf where off-shore reserves are located. The countries with the lowest score on the index were Saudi Arabia (with a score of 2), Kuwait (4), Bahrain (2), and Qatar (2). It is interesting to note that although other countries may have high concentrations of certain resources within their borders it is only the oil-rich countries that have the lowest levels of export diversity. The only exceptions to this trend are countries with a government that has made particularly strong efforts to become less oil-reliant, such as the United Arab Emirates7. Although, we recognize that a country's economic diversity also accounts for its domestic economy, which generally relies heavily on the country's exports. Therefore this analysis concludes that the Export Diversity Index is an indicator of a country's economic index. The data we have compiled has implications for the future of many of the Gulf States, especially Saudi Arabia, as the international community attempts to wean itself off of fossil fuels.Amanda Doyle, March 2012WORKS CITED1.“Kuwait Economy”. Encycopedia of the Nations, Advameg, Inc. 2011. http://www.nationsencyclopedia.com/Asia-and-Oceania/Kuwait-ECONOMY.html.2.Burke, Edmund, and Yaghoubian, David N. Struggle and Survival in the Modern Middle East. 2nd ed. University of California Press: Berkley, CA, 2006.3.“Economic Diversification”. The Ideation Center. 2011. http://www.ideationcenter.com/home/ideation_article/economic_diversification.4."UN Data: Country Profile”. UN Division of Statistics, United Nations. 2011. http://data.un.org/CountryProfile.aspx5."USGS identifies potential giant oil and gas fields in Israel/Palestine”. EnerGeoPolitics. 2010. http://energeopolitics.com/2010/04/09/usgs-identifies-potential-giant-oil-and-gas-fields-in-israelpalestine/6. "A Summary of Existing and New-Buuild Smelters in the Middle East". Aluminium International Today. January /February 2009. http://www.improvingperformance.com/papers/Primary%20Article%20AIT.pdf.7. "UAE to Diversify Economy - To Reduce Dependence on Oil and Natural Gas Revenues". Oil Gas Articles. 2011. http://www.oilgasarticles.com/articles/416/2/UAE-to-Diversify-Economy---To-Reduce-Dependence-on-oil-and-Natural-Gas-Revenues/Page2.html?PHPSESSID=e10561d4a9d2cf87f64fbdeb2e00f65d.

Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

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.

The gross domestic product (GDP) of California was about 3.23 trillion U.S. dollars in 2023, meaning that it contributed the most out of any state to the country’s GDP in that year. In contrast, Vermont had the lowest GDP in the United States, with 35.07 billion U.S. dollars. What is GDP? Gross domestic product, or GDP, is the total monetary value of all goods and services produced by an economy within a certain time period. GDP is used by economists to determine the economic health of an area, as well as to determine the size of the economy. GDP can be determined for countries, states and provinces, and metropolitan areas. While GDP is a good measure of the absolute size of a country's economy and economic activity, it does account for many other factors, making it a poor indicator for measuring the cost or standard of living in a country, or for making cross-country comparisons. GDP of the United States The United States has the largest gross domestic product in the world as of 2023, with China, Japan, Germany, and India rounding out the top five. The GDP of the United States has almost quadrupled since 1990, when it was about 5.9 trillion U.S. dollars, to about 25.46 trillion U.S. dollars in 2022.

In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

The Gross Domestic Product per capita in Saudi Arabia was last recorded at 55055.40 US dollars in 2023, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Saudi Arabia, when adjusted by Purchasing Power Parity is equivalent to 310 percent of the world's average. This dataset provides - Saudi Arabia GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

WiserBrand's Comprehensive Customer Call Transcription Dataset: Tailored Insights

WiserBrand offers a customizable dataset comprising transcribed customer call records, meticulously tailored to your specific requirements. This extensive dataset includes:

User ID and Firm Name: Identify and categorize calls by unique user IDs and company names. Call Duration: Analyze engagement levels through call lengths. Geographical Information: Detailed data on city, state, and country for regional analysis. Call Timing: Track peak interaction times with precise timestamps. Call Reason and Group: Categorised reasons for calls, helping to identify common customer issues. Device and OS Types: Information on the devices and operating systems used for technical support analysis. Transcriptions: Full-text transcriptions of each call, enabling sentiment analysis, keyword extraction, and detailed interaction reviews. Our dataset is designed for businesses aiming to enhance customer service strategies, develop targeted marketing campaigns, and improve product support systems. Gain actionable insights into customer needs and behavior patterns with this comprehensive collection, particularly useful for Consumer Data, Consumer Behavior Data, Consumer Sentiment Data, Consumer Review Data, AI Training Data, Textual Data, and Transcription Data applications.

WiserBrand's dataset is essential for companies looking to leverage Customer Feedback Data and Customer Experience Data to drive their strategic initiatives in the English-speaking markets of the USA, UK, and Australia. By accessing this rich dataset, businesses can uncover trends and insights critical for improving customer engagement and satisfaction.

（停止更新）美国：金融机构账户：收入：15岁以上所占百分比：最富有的60％在12-01-2014达97.904%，相较于12-01-2011的92.810%有所增长。（停止更新）美国：金融机构账户：收入：15岁以上所占百分比：最富有的60％数据按年更新，12-01-2011至12-01-2014期间平均值为95.357%，共2份观测结果。该数据的历史最高值出现于12-01-2014，达97.904%，而历史最低值则出现于12-01-2011，为92.810%。CEIC提供的（停止更新）美国：金融机构账户：收入：15岁以上所占百分比：最富有的60％数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的美国 – 表 US.世行.WDI：银行业指标。

ForwardWe are pleased to present the 2017 edition of the Sustainable Development Goals (SDG) Index and Dashboards that have been jointly developed by the Bertelsmann Stiftung and the Sustainable Development Solutions Network (SDSN). This year’s edition includes revised and additional metrics for the SDGs bringing the total to 99 indicators. We also introduce several refinements to the methodology and extend coverage from 149 to 157 of the 193 UN member states. Results are therefore not strictly comparable with the 2016 edition. We are grateful to the many organizations and individuals who have helped us improve the SDG Index and Dashboards.The SDGs are a universal agenda of sustainable development, calling on all nations to pursue a holistic strategy that combines economic development, social inclusion, and environmental sustainability. We are gratified that throughout the world, local and national governments are rallying around the goals, seeking ways to incorporate them into planning processes.Businesses, universities, and civil society are also recognizing that the SDGs and the Paris Climate Agreement (incorporated into the sustainable development agenda as SDG 13) require a new orientation of strategy and national planning.The purpose of the SDG Index and Dashboards is to assist countries to identify priorities for action, in order to achieve the 17 SDGs. The indicators and dashboards should help countries to pinpoint key implementation challenges and the overall index permits an assessment of progress towards the goals and a comparison with peer countries.We applaud the large number of countries stepping forward to make Voluntary National Reports on their progress in implementing the SDGs at the High-Level Political Forum. We also note that the design and implementation of the official SDG indicators is making significant progress following their formal adoption by the UN Statistics Commission. The SDG Index and Dashboards are complementary to official SDG monitoring. They are not an official product endorsed by any governments or the United Nations.Based on our scrutiny of the relevant data available for tracking the SDGs, the SDG Index and Dashboards present these data in a way that we believe and hope to be informative, insightful, and interesting for policy makers and the public.Where possible we use the official SDG indicators and fill gaps in data availability with variables published by reputable sources. We have constructed the various measures for each SDG so that they immediately indicate a country’s position on a 0-to-100 spectrum from the “worst” (score 0) to the “best” (score 100).The SDGs rightly emphasize a universal agenda that requires all countries – both rich and poor alike – to take decisive actions to support sustainable development. In this year’s report we note that development patterns of the rich countries may generate adverse “spillovers” that may hinder the ability of poorer countries’ to achieve the SDGs. For example, the high consumption levels, banking secrecy and tax havens, and weapons exports, by the rich countries may severely inhibit sustainable development in poorer and more vulnerable countries. On the other hand, international development financeby high-income donor nations also directly supports the SDGs.Many of the adverse spillovers tend to be neglected or poorly measured in official development statistics. The 2017 SDG Index and Dashboards therefore reviews the scientific and policy literature to identify the best available data for quantifying such complex spillovers. We show that there are indeed many such adverse global spillovers to consider and that they are indeed driven strongly by high-income countries. We believe that such adverse spillovers deserve much greater attention by national and international efforts to achieve the SDGs and by statistical agencies. We know that our report only is a starton such analyses and should be understood in that spirit.The SDG Index and Dashboards show that data on important SDG priorities are sometimes unavailable or out of date or not yet counted on the official list of indicators. Filling these gaps and ensuring that key measures are included among the official indicators will require improved metrics as well as more and better data. One priority for SDG implementation must therefore be to invest in strengthening data collection, choice of indicators, and statistical capacity in all countries.The 2017 SDG Index and Dashboards report generates “tough grading” for all countries, including the richest ones. We choose this approach not to be punitive or pessimistic about the prospects for dramatic improvements, but to draw attention to the most urgent SDG-related challenges facing each country for each SDG.We hope that in addition to governments, other SDG stakeholders will find this report interesting and useful. Business, civil society organizations, foundations, universities, the media, and others will all play a vital role in turning the SDGs into practical tools for explaining sustainable development, managing implementation, ensuring accountability, and reporting on progress at local, national, regional, and global levels. This report and the companion website (www.sdgindex.org) provide rich information to help inform these discussions.To support SDG implementation at local levels, the SDSN is launching a preliminary SDG Index and Dashboards for cities in the United States of America. Similar analyses can be conducted for cities and provinces elsewhere. We are also planning to work with SDSN partners to develop deeper indicators and new SDG Indices and Dashboards to focus on specific challenges in major regions around the world.In addition to the SDG Index and Dashboards report, Bertelsmann Stiftung is contributing to many SDGs with its operational and data-related work to promote social inclusion, improve education, shape democracy, advance society, promote health, vitalize culture and strengthen economies. For example, our assessment at the local level (Monitor Nachhaltige Kommune) analyzes the sustainability of German local communities. We also undertake monitoring projects on health, education, social cohesion, and governance to identify best practices.We look forward to the opportunity to improve the quality and coverage of the SDG Index and Dashboards, including ways to understand trend data. We encourage and welcome feedback on the usefulness and limitations of the SDG Index andDashboards, and advice from all parts of the global community on how the report can be made more useful and accurate in the coming years.Aart de Geus,Chairman and CEO, Bertelsmann StiftungJeffrey Sachs,Director, Sustainable Development Solutions Network