In the first quarter of 2024, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States follows closely behind China as the country with the most billionaires in the world. Elon Musk alone held around 219 billion U.S. dollars in 2022. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.

In the third quarter of 2024, the top ten percent of earners in the United States held over ** percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom ** percent of earners has been slowly increasing since the start of the *****, though remains low. Wealth distribution in the United States by generation can be found here.

This table contains data on income inequality. The primary measure is the Gini index – a measure of the extent to which the distribution of income among families/households within a community deviates from a perfectly equal distribution. The index ranges from 0.0, when all families (households) have equal shares of income (implies perfect equality), to 1.0 when one family (household) has all the income and the rest have none (implies perfect inequality). Index data is provided for California and its counties, regions, and large cities/towns. The data is from the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Income is linked to acquiring resources for healthy living. Both household income and the distribution of income across a society independently contribute to the overall health status of a community. On average Western industrialized nations with large disparities in income distribution tend to have poorer health status than similarly advanced nations with a more equitable distribution of income. Approximately 119,200 (5%) of the 2.4 million U.S. deaths in 2000 are attributable to income inequality. The pathways by which income inequality act to increase adverse health outcomes are not known with certainty, but policies that provide for a strong safety net of health and social services have been identified as potential buffers. More information about the data table and a data dictionary can be found in the About/Attachments section.

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.

Romania - Inequality of income distribution was 4.62 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Romania - Inequality of income distribution - last updated from the EUROSTAT on July of 2025. Historically, Romania - Inequality of income distribution reached a record high of 8.32 in December of 2015 and a record low of 4.62 in December of 2024.

France - Inequality of income distribution was 4.66 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Inequality of income distribution - last updated from the EUROSTAT on June of 2025. Historically, France - Inequality of income distribution reached a record high of 4.66 in December of 2024 and a record low of 4.23 in December of 2018.

New York was the state with the greatest gap between rich and poor, with a Gini coefficient score of 0.52 in 2023. Although not a state, District of Columbia was among the highest Gini coefficients in the United States that year.

As of 2021, the countries in Europe with the greatest share of national wealth taken by the top 10 percent of wealthy people were Russia, Turkey, and Hungary, with over two-thirds of wealth in Russia being owned by the wealthiest decile. On the other hand, the Netherlands, Slovakia, and Denmark were the countries with the smallest share of national wealth going to the top 10 percent, with more than half of wealth in the Netherlands going to the bottom 90 percent. Ireland, Poland, and Greece stand out, as in these countries the 50 percent of people who own the least wealth in fact have negative net wealth, meaning that the value of their debt is greater than the value of their gross wealth.

Income Inequality in Lorain County, OH was 15.72676 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Lorain County, OH reached a record high of 15.72676 in January of 2023 and a record low of 12.08350 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Lorain County, OH - last updated from the United States Federal Reserve on June of 2025.

Income Inequality in Montgomery County, MD was 15.38085 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Montgomery County, MD reached a record high of 15.38085 in January of 2023 and a record low of 12.80430 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Montgomery County, MD - last updated from the United States Federal Reserve on July of 2025.

Income Inequality in Los Angeles County, CA was 19.65721 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Los Angeles County, CA reached a record high of 19.65721 in January of 2023 and a record low of 16.80820 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Los Angeles County, CA - last updated from the United States Federal Reserve on July of 2025.

Income Inequality in Palm Beach County, FL was 19.40377 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Palm Beach County, FL reached a record high of 19.47998 in January of 2022 and a record low of 16.92851 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Palm Beach County, FL - last updated from the United States Federal Reserve on July of 2025.

In 2023, according to the Gini coefficient, household income distribution in the United States was 0.47. This figure was at 0.43 in 1990, which indicates an increase in income inequality in the U.S. over the past 30 years. What is the Gini coefficient? The Gini coefficient, or Gini index, is a statistical measure of economic inequality and wealth distribution among a population. A value of zero represents perfect economic equality, and a value of one represents perfect economic inequality. The Gini coefficient helps to visualize income inequality in a more digestible way. For example, according to the Gini coefficient, the District of Columbia and the state of New York have the greatest amount of income inequality in the U.S. with a score of 0.51, and Utah has the greatest income equality with a score of 0.43. The Gini coefficient around the world The Gini coefficient is also an effective measure to help picture income inequality around the world. For example, in 2018 income inequality was highest in South Africa, while income inequality was lowest in Slovenia.

Data and insights on Wealth Distribution in India - share of wealth, average wealth, HNIs, wealth inequality GINI, and comparison with global peers.

Statistics on income inequality based on the Gini index and the p90/p10 ratio on various household income concepts (market income, total income, after-tax income) for Canada, provinces and territories, census divisions and census subdivisions.

Income Inequality in Denver County, CO was 17.97779 Ratio in January of 2023, according to the United States Federal Reserve. Historically, Income Inequality in Denver County, CO reached a record high of 20.23338 in January of 2010 and a record low of 17.13318 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in Denver County, CO - last updated from the United States Federal Reserve on July of 2025.

Income Inequality in New Haven County, CT was 16.98266 Ratio in January of 2021, according to the United States Federal Reserve. Historically, Income Inequality in New Haven County, CT reached a record high of 16.98266 in January of 2021 and a record low of 14.89356 in January of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for Income Inequality in New Haven County, CT - last updated from the United States Federal Reserve on July of 2025.

In 2023, from the total national wealth in Mexico, 70.2 percent belonged to the top ten percent group. Meanwhile, the bottom 50 percent had a total of 2.3 percent.

This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

In 2022, the percentage of income held by the richest 20 percent of the population in Colombia remained nearly unchanged at around 59.6 percent. In comparison to 2021, the percentage of income held decreased not significantly by 0.2 percentage points (-0.33 percent). These figures refer to the share of total income held by the top fifth of earners in a given population.Find more statistics on other topics about Colombia with key insights such as poverty headcount ratio at national poverty lines.