In 2024, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. The United States was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the adage goes, “money can’t buy you happiness,” yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that a larger proportion of the population has access to a high-income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

In 2022, Australia had the highest median wealth worldwide of the countries included, reaching nearly ******* U.S. dollars. Belgium and Hong Kong followed behind.

Graph and download economic data for Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1246) from Q3 1989 to Q2 2025 about net worth, wealth, percentile, Net, and USA.

In an increasingly interconnected global economy, understanding the economic landscape of different countries, regions, and income groups is vital for policymakers, researchers, and businesses. The World GDP (Gross Domestic Product) Dataset has been curated to provide comprehensive insights into the economic performance of countries worldwide, categorized by region and income group. This dataset is sourced from the World Bank Group, a renowned institution for global economic data.

This Web map shows the global wealth distribution for the years 1995, 2000, and 2005. Web map published and hosted by Esri Canada © 2013. Content Sources: Countries, Esri Maps and DataThe World Bank, The Changing Wealth of Nations: http://data.worldbank.org/data-catalog/wealth-of-nations Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100) Update Frequency: As Required Publication Date: October 2013 OECD stands for Organisation for Economic Co-operation and Development and is a global organization created to "promote policies that will improve the economic and social well-being of people around the world".

This dataset provides a comprehensive overview of global wealth distribution in 2021. It includes data on total wealth, GDP per adult, wealth per adult, and the share of world wealth for various countries. This data can be used for various analyses, such as studying wealth inequality, economic development, and global financial trends.

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. recently, 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 richest people in the world, only *** were women. 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 world's richest 10 percent holds more than three quarters of the world's total wealth. Although their share decreased by around five percentage points since 1995, this underlines the massive wealth inequalities existing around the world. By comparison, the poorest half of the world population holds less than two percent of global wealth. The richest percent holds more than 40 percent of the global wealth.

The average for 2023 based on 64 countries was 0.97 percent. The highest value was in the USA: 26.3 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

This dataset provides a synthetic overview of the 1,000 wealthiest individuals in the world, offering insights into the distribution of wealth across industries and regions. It is designed to help analysts, researchers, and data enthusiasts explore global wealth trends, industry dominance, and regional wealth concentration.

Whether you're conducting market research, financial analysis, or data modeling, this dataset serves as a valuable resource for understanding the characteristics of the world's top billionaires.

📊 Key Features: Name 👤: The name of the billionaire. Country 🌍: Country of residence or primary business operation. Industry 🏭: Industry in which the individual has built their wealth. Net Worth (in billions) 💵: Estimated net worth in billions of USD. Company 🏢: The primary company or business associated with the billionaire. ⚠️ Important Note: This dataset is 100% synthetic and does not contain real financial or personal data. It is artificially generated for educational, analytical, and research purposes.

Cross-national research on the causes and consequences of income inequality has been hindered by the limitations of the existing inequality datasets: greater coverage across countries and over time has been available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to meet the needs of those engaged in broadly cross-national research by maximizing the comparability of income inequality data while maintaining the widest possible coverage across countries and over time. The SWIID’s income inequality estimates are based on thousands of reported Gini indices from hundreds of published sources, including the OECD Income Distribution Database, the Socio-Economic Database for Latin America and the Caribbean generated by CEDLAS and the World Bank, Eurostat, the World Bank’s PovcalNet, the UN Economic Commission for Latin America and the Caribbean, national statistical offices around the world, and academic studies while minimizing reliance on problematic assumptions by using as much information as possible from proximate years within the same country. The data collected and harmonized by the Luxembourg Income Study is employed as the standard. The SWIID currently incorporates comparable Gini indices of disposable and market income inequality for 199 countries for as many years as possible from 1960 to the present; it also includes information on absolute and relative redistribution.

Explore the dynamic landscape of global wealth with our meticulously curated dataset sourced from the Forbes Billionaires List. Delve into the lives and fortunes of the individuals, uncovering key insights into their net worth, age, country or territory of origin, primary sources of wealth, and respective industries. This dataset, meticulously web scraped from Forbes, provides a comprehensive snapshot of the world's financial elite, offering a unique lens into the diverse sectors that contribute to their staggering fortunes. From tech moguls to fashion tycoons, this dataset presents a detailed panorama of the wealthiest personalities shaping the global economic stage.

The average for 2021 based on 71 countries was 27.53 percent. The highest value was in Colombia: 43.7 percent and the lowest value was in Slovakia: 19.1 percent. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

The World Inequality Database (WID.world) aims to provide open and convenient access to the most extensive available database on the historical evolution of the world distribution of income and wealth, both within countries and between countries.

HISTORY OF WID.WORLD During the past fifteen years, the renewed interest for the long-run evolution of income and wealth inequality gave rise to a flourishing literature. In particular, a succession of studies has constructed top income share series for a large number of countries (see Thomas Piketty 2001, 2003, T. Piketty and Emmanuel Saez 2003, and the two multi-country volumes on top incomes edited by Anthony B. Atkinson and T. Piketty 2007, 2010; see also A. B. Atkinson et al. 2011 and Facundo Alvaredo et al. 2013 for surveys of this literature). These projects generated a large volume of data, intended as a research resource for further analysis, as well as a source to inform the public debate on income inequality. To a large extent, this literature follows the pioneering work of Simon Kuznets 1953, and A. B. Atkinson and Alan Harrison 1978, and extends it to many more countries and years.

for more https://wid.world/wid-world/

The average for 2024 based on 58 countries was 58042 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Barbados: 19946 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Constant GDP per capita for High Income Countries (NYGDPPCAPKDHIC) from 1960 to 2024 about per capita, income, and GDP.

The average for 2024 based on 177 countries was 27291 U.S. dollars. The highest value was in Singapore: 132570 U.S. dollars and the lowest value was in Burundi: 836 U.S. dollars. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Constant GDP per capita for Middle Income Countries (NYGDPPCAPKDMIC) from 1960 to 2024 about per capita, income, and GDP.

Welcome to the Forbes Billionaire List Dataset! 🌟

Context: This comprehensive dataset presents a wealth of information about the world's billionaires, curated from the prestigious Forbes Billionaires List. The Forbes list is widely recognized as a reliable source for tracking the net worth and profiles of the wealthiest individuals globally. It provides valuable insights into the distribution of wealth, entrepreneurial success stories, and the industries and countries where billionaires thrive.

Inspiration: This dataset was inspired by a desire to analyze and explore the fascinating world of billionaires. It provides enthusiasts with a rich resource to study wealth distribution patterns, demographic trends, entrepreneurial endeavors, and global economic landscapes. By examining the Forbes Billionaires List, we can gain valuable insights into the factors that contribute to extreme wealth and the industries driving economic growth.

Potential Applications: The Forbes Billionaire List Dataset offers numerous avenues for analysis and exploration. Here are a few potential applications: - Analyzing wealth distribution across countries and industries - Studying the relationship between age and net worth of billionaires - Identifying the top sources of wealth and the most successful industries - Exploring the demographic characteristics of billionaires - Examining the economic impact of billionaires on specific countries or regions

Source: https://www.forbes.com/billionaires/

Graph and download economic data for Gross Domestic Product Per Capita for Upper Middle Income Countries (NYGDPPCAPCDUMC) from 1960 to 2024 about per capita, income, and GDP.