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.

This dataset shows the Gini coefficient by state, 2002 - 2020e. Notes: n.a. Not applicable e Refers to estimated value based on this study Source : DEPARTMENT OF STATISTICS MALAYSIA No. of Views : 297

Graph and download economic data for GINI Index for the United States (SIPOVGINIUSA) from 1963 to 2023 about gini, indexes, and USA.

Chiapas, the state with the highest share of population living in poverty, had the highest wealth inequality in the country based on the Gini coefficient as well. This index measures the deviation of the income distribution situation in a given country from a perfectly equal distribution. A value of 0 represents an ideal situation of equality, whereas 1 would be the highest possible degree of inequality. As of 2022, Mexico City, the country's capital, had a Gini coefficient of 0.46, second highest recorded figure.

Estimated Gini index by state from 2010 to 2018.

The table Gini Index by State is part of the dataset US Gini Coefficient Data, available at https://redivis.com/datasets/mvy6-47eywr6qf. It contains 468 rows across 4 variables.

This dataset contains tables that match an estimated Gini coefficient to a specific geographic region (either census tract, county, or state) from 2010 to 2018. The 1-year estimates are produced by the American Community Survey (ACS).

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, All Races from 1967 to 2023 about gini, households, income, and USA.

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.

Income InequalityThe level of income inequality among households in a county can be measured using the Gini index. A Gini index varies between zero and one. A value of one indicates perfect inequality, where only one household in the county has any income. A value of zero indicates perfect equality, where all households in the county have equal income.The United States, as a country, has a Gini Index of 0.47 for this time period. For comparision in this map, the purple counties have greater income inequality, while orange counties have less inequality of incomes. For reference, Brazil has an index of 0.58 (relatively high inequality) and Denmark has an index of 0.24 (relatively low inequality).The 5-year Gini index for the U.S. was 0.4695 in 2007-2011 and 0.467 in 2006-2010. Appalachian Regional Commission, September 2013Data source: U.S. Census Bureau, 5-Year American Community Survey, 2006-2010 & 2007-2011

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, White Alone Not Hispanic (GINIWANHH) from 2002 to 2023 about gini, white, hispanic, households, income, and USA.

In 2023, the Gini index for Black households in the United States stood at 0.5, which was higher than the national index that year. The Census Bureau defines the Gini index as “a statistical measure of income inequality ranging from zero to one. A measure of one indicates perfect inequality, i.e., one household having all the income and the rest having none. A measure of zero indicates perfect equality, i.e., all households having an equal share of income.”

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.

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.

In 2023, the Gini index for households of Asian origin in the United States stood at 0.48. The Census Bureau defines the Gini index as “a statistical measure of income inequality ranging from zero to one. A measure of one indicates perfect inequality, i.e., one household having all the income and rest having none. A measure of zero indicates perfect equality, i.e., all households having an equal share of income.”

United States - Income Gini for Households by Race of Householder, White Alone Not Hispanic was 0.47300 Ratio in January of 2023, according to the United States Federal Reserve. Historically, United States - Income Gini for Households by Race of Householder, White Alone Not Hispanic reached a record high of 0.48400 in January of 2021 and a record low of 0.45200 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Income Gini for Households by Race of Householder, White Alone Not Hispanic - last updated from the United States Federal Reserve on June of 2025.

Data on redistributive spending in the 50 American states from 1974-2012. Also includes two Gini coefficient measures, economic measures, and demographic measures.

Gini Coefficient: Working Age Population: South: Santa Catarina data was reported at 0.408 % in 2017. This records a decrease from the previous number of 0.417 % for 2016. Gini Coefficient: Working Age Population: South: Santa Catarina data is updated yearly, averaging 0.412 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.417 % in 2016 and a record low of 0.408 % in 2017. Gini Coefficient: Working Age Population: South: Santa Catarina data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF002: Gini Coefficient: Working Age Population: by Region and State.

Gini Coefficient: Working Age Population: Southeast: São Paulo data was reported at 0.522 % in 2017. This records a decrease from the previous number of 0.533 % for 2016. Gini Coefficient: Working Age Population: Southeast: São Paulo data is updated yearly, averaging 0.528 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.533 % in 2016 and a record low of 0.522 % in 2017. Gini Coefficient: Working Age Population: Southeast: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF002: Gini Coefficient: Working Age Population: by Region and State.

In 2023, the Gini Index for all U.S. households was ****. The U.S. Census Bureau defines the Gini index as “a statistical measure of income inequality ranging from zero to one. A measure of one indicates perfect inequality, i.e., one household having all the income and the rest having none. A measure of zero indicates perfect equality, i.e., all households having an equal share of income.”

Graph and download economic data for Income Gini Ratio of Families by Race of Householder, White Alone Not Hispanic (GINIWANHF) from 2002 to 2023 about gini, white, hispanic, households, income, and USA.