Over **** of the organizations worldwide expect the widespread implementation of generative AI (GenAI) to increase economic inequality across the globe. Only about ** percent of the respondents expect the opposite scenario. Approximately ** percent of the respondents expect a widespread use of GenAI not to have any impact on this social aspect.

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.

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 July 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.

Replication Data for: "Income inequality and the erosion of democracy in the twenty-first century," published in PNAS.

While most Americans appear to acknowledge the large gap between the rich and the poor in the U.S., it is not clear if the public is aware of recent changes in income inequality. Even though economic inequality has grown substantially in recent decades, studies have shown that the public's perception of growing income disparities has remained mostly unchanged since the 1980s. This research offers an alternative approach to evaluating how public perceptions of inequality are developed. Centrally, it conceptualizes the public's response to growing economic disparities by applying theories of macro-political behavior and place-based contextual effects to the formation of aggregate perceptions about income inequality. It is argued that most of the public relies on basic information about the economy to form attitudes about inequality and that geographic context---in this case, the American states---plays a role in how views of income disparities are produced. A new measure of state perceptions of growing economic inequality over a 25-year period is used to examine whether the public is responsive to objective changes in economic inequality. Time-series cross-sectional analyses suggest that the public's perceptions of growing inequality are largely influenced by objective state economic indicators and state political ideology. This research has implications for how knowledgeable the public is of disparities between the rich and the poor, whether state context influences attitudes about inequality, and what role the public will have in determining how expanding income differences are addressed through government policy.

Finland - Inequality of income distribution was 3.73 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Inequality of income distribution - last updated from the EUROSTAT on August of 2025. Historically, Finland - Inequality of income distribution reached a record high of 3.78 in December of 2023 and a record low of 3.54 in December of 2017.

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.

this graphs is ourdataworld :

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How are incomes and wealth distributed between people? Both within countries and across the world as a whole?

On this page, you can find all our data, visualizations, and writing relating to economic inequality.

This evidence demonstrates that inequality in many countries is substantial and, in numerous instances, has been escalating. Global economic inequality is extensive and exacerbated by intersecting disparities in health, education, and various other dimensions.

However, economic inequality is not uniformly increasing. In many countries, it has declined or remained steady. Furthermore, global inequality – following two centuries of ascent – is presently decreasing as well.

The significant variations observed across countries and over time are pivotal. They indicate that high and rising inequality is not inevitable and that the current extent of inequality is subject to change.

About this data This data explorer offers various inequality indicators measured according to two distinct definitions of income sourced from different outlets.

Data from the World Inequality Database pertains to inequality prior to taxes and benefits. Data from the World Bank pertains to either income post taxes and benefits or consumption, contingent on the country and year. For additional details regarding the definitions and methodologies underlying this data, refer to the accompanying article below, where you can also delve into and juxtapose a broader spectrum of indicators from various sources.

A growing body of research documents the importance of wealth and the racial wealth gap in perpetuating inequality across generations. We add to this literature by examining the impact of wealth on child income. Our two stage least squares regressions reveal that grandparental and parental wealth have an important effect on the younger generation’s stock (first stage results), which in turn affects the younger generation’s household income (second stage results). We further explore the relationship between income and wealth by decomposing the child’s income by race. We find that the intergroup disparity in income is mainly attributable to differences in family background. These findings indicate that wealth is an important source of income inequality.

Graph and download economic data for Income Inequality in New York County, NY (2020RATIO036061) from 2010 to 2023 about New York County, NY; inequality; New York; NY; income; and USA.

Italy - Inequality of income distribution was 5.53 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Italy - Inequality of income distribution - last updated from the EUROSTAT on July of 2025. Historically, Italy - Inequality of income distribution reached a record high of 6.27 in December of 2016 and a record low of 5.27 in December of 2023.

Replication package for "The regional dispersion of income inequality in nineteenth-century Norway", to be published in Explorations in Economic History (accepted September 2017). The files contain micro data foundations for estimates of Norwegian income inequality in 1868.The file "data_compact.dta" (Stata format) contains "pseudo-invididual" observations of all men age 25 or more in Norway in 1868, estimated as described in the paper. Note that any one individual data point cannot stand by itself; analysis must be conducted at the municipality and/or occupation level. This is further explained in the paper.The file "municipalityfile.dta" (Stata format) contains municipality-level Gini coefficients and covariates.The file "replicate.zip" contains the necessary files (Stata and Matlab) to replicate the analysis. See "DataReadMe.pdf" for instructions.Abstract for the paper: This paper documents, for the first time, municipality- and occupation-level estimates of income inequality between individuals in a European country in the nineteenth century, using a combination of several detailed data sets for Norway in the late 1860s. Urban incomes were on average 4.5 times as high as rural incomes, and the average city Gini coefficient was twice the average rural municipality Gini. All high- or medium-income occupation groups exhibited substantial within-occupation income inequality. Across municipalities, income inequality is higher in high-income municipalities, and lower in muncipalities with high levels of fisheries and pastoral agriculture. While manufacturing activity is positively correlated with income inequality, the association is not apparent when other economic factors such as the mode of food production is accounted for. The income Gini for Norway as a whole is found to have been 0.546, slightly higher than estimates for the UK and US in the same period.

Estonia - Inequality of income distribution was 5.03 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Estonia - Inequality of income distribution - last updated from the EUROSTAT on September of 2025. Historically, Estonia - Inequality of income distribution reached a record high of 6.48 in December of 2014 and a record low of 5.01 in December of 2010.

Recent studies of attitudes toward economic inequality suggest that most people around the world prefer very low levels of inequality, despite well-known trends toward greater inequality within many countries. Even within countries, people across the political spectrum are said to be in remarkable agreement about the ideal level of economic inequality. Using survey data from 40 countries and a novel survey experiment in the U.S., we show that this apparent agreement is illusory. When relying on a widely used cross-national survey measure of ideal pay ratios, preferred levels of inequality are heavily influenced by two well-documented sources of perceptual distortion: the anchoring effect and ratio bias. These effects are substantial and many times larger than the influence of fundamental political predispositions. As a result, these cross-national survey measures tapping preferences regarding economic inequality produce misleading conclusions about desired levels of inequality.

Includes STATA dataset and do-file for replicating the results appearing in the manuscript

The CPEDB (Nov 6, 2023 version) covers the following areas (in order): demography, family/household, class/labour, government, electoral democracy, inequality (economic, political & gender), health, environment, internet, macro-economic and financial variables. In its present form, it contains annual data on 727 variables from 12 countries (alphabetically listed): Canada, Denmark, France, Germany, Greece, Italy, Japan, Norway, Spain, Sweden, United Kingdom and United States. Some of the variables date back to the early 20th Century, and most date from the 1960s to 1980's up to 2019 to 2022. For a complete list of the variable names and their labels in the current CPEDB SPSS file, see the excel file Outline of CPEDB file of Nov 6, 2023, variables and charts.

Hungary - Inequality of income distribution was 4.26 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Hungary - Inequality of income distribution - last updated from the EUROSTAT on September of 2025. Historically, Hungary - Inequality of income distribution reached a record high of 4.47 in December of 2023 and a record low of 3.41 in December of 2010.

This zip file includes the knitr file (combined LaTeX + R code) that downloads the Pew Research Center datasets employed and generates the article, including all results and figures. Other data and bibliography dependencies are also included. These reproducibility materials along with their intermediate products and the complete revision history of the article are available at https://github.com/fsolt/class_consciousness

Sweden - Inequality of income distribution was 4.34 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Sweden - Inequality of income distribution - last updated from the EUROSTAT on September of 2025. Historically, Sweden - Inequality of income distribution reached a record high of 4.73 in December of 2023 and a record low of 3.85 in December of 2010.