The latest inequality snapshots are stark. In the US, the top 5% held 35.6% of income in 2022 before taxes, while redistribution reduced the Gini by 17% by 2022, showing how much policy can shift outcomes even when gaps stay wide. From rent and healthcare to wealth and education, the disparities behind these measures are uneven across countries and age groups, and the contrast is what makes the dataset worth a close look.
Key Takeaways
- The World Bank reports that the Gini index for India was 0.36 in 2019 (income inequality measured by Gini).
- In South Africa, the Gini coefficient was 0.60 in 2021 (income inequality measure).
- In Nigeria, the Gini coefficient was 0.43 in 2022 (income inequality measure).
- In France, the S80/S20 income ratio was 4.7 in 2022 (ratio of top to bottom income quintiles).
- In France, the top 10% of households received 31.0% of income in 2022 (top decile share).
- In Canada, the income share of the bottom 20% of households was 7.4% in 2022 (share of total after-tax income).
- In the United States, the top 5% held 35.6% of income in 2022 (pre-tax).
- There were 2,640 billionaires in the Forbes 2024 list (global count of billionaires).
- The World Bank estimated that 30.0% of people in the world lived in poverty in 2017 ($2.15/day, 2017 PPP), highlighting inequality-linked hardship (poverty rate indicator often used alongside inequality).
- In the UK, 12.8% of individuals were in relative poverty in 2023/24 (poverty indicator used alongside inequality).
- In Spain, 26.6% of people were at risk of poverty or social exclusion in 2023 (EU-SILC metric).
- In the US, the median weekly earnings gap in 2023 was $349 between men ($1,001) and women ($652), reflecting persistent gender earnings inequality
- Global wealth ownership: the bottom 50% of adults held 1.1% of global wealth in 2023 (World Wealth Report 2024), highlighting the low-wealth end
- In Japan, income inequality measured by the Gini coefficient for household income was 0.36 in 2022, indicating substantial income dispersion
- In the United States, 15.0% of people were food insecure in 2023, showing deprivation patterns linked to inequality
Inequality remains widespread globally, from high Gini values to major poverty and housing hardship.
Related reading
01 · Category
Income Inequality Metrics10 stats
01
The World Bank reports that the Gini index for India was 0.36 in 2019 (income inequality measured by Gini).https://data.worldbank.org/indicator/SI.POV.GINI?locations=IN
02
In South Africa, the Gini coefficient was 0.60 in 2021 (income inequality measure).https://data.worldbank.org/indicator/SI.POV.GINI?locations=ZA
03
In Nigeria, the Gini coefficient was 0.43 in 2022 (income inequality measure).https://data.worldbank.org/indicator/SI.POV.GINI?locations=NG
04
In Mexico, the Gini coefficient was 0.46 in 2022 (income inequality measure).https://data.worldbank.org/indicator/SI.POV.GINI?locations=MX
05
In Russia, the Gini coefficient was 0.36 in 2022 (income inequality measure).https://data.worldbank.org/indicator/SI.POV.GINI?locations=RU
06
In the EU-27, the Gini coefficient for income inequality was 0.30 in 2023 (after taxes and transfers, Eurostat series used in EU monitoring).https://ec.europa.eu/eurostat/databrowser/view/ilc_di12/default/table?lang=en
07
In Bulgaria, the S80/S20 income ratio was 7.2 in 2023 (top quintile divided by bottom quintile, after taxes and transfers).https://ec.europa.eu/eurostat/databrowser/view/ilc_di11/default/table?lang=en
08
In 2023, the top 1% of earners in the UK received 14.6 times more income than the bottom 10% (income ratio).https://www.ifs.org.uk/publications/23801
09
In the US, after taxes and transfers, inequality measured by the Gini coefficient decreased by 17% between market income and disposable income in 2022 (redistribution effect).https://stats.oecd.org/index.aspx?queryid=54735
10
The OECD reports that income inequality is higher in the United States than the OECD average: US Gini for disposable income is 0.387 vs OECD average 0.320 in 2022 (comparison of disposable-income Gini).https://data.oecd.org/inequality/income-inequality.htm
Interpretation
Income Inequality Metrics Interpretation
Income inequality varies widely across the Income Inequality Metrics, from a relatively lower Gini of 0.30 in the EU-27 to very high levels such as South Africa’s Gini of 0.60, while redistribution in the United States still matters because the Gini falls by 17% from market to disposable income in 2022.
03 · Category
Earnings Concentration1 stats
01
In the United States, the top 5% held 35.6% of income in 2022 (pre-tax).https://wid.world/data/
Interpretation
Earnings Concentration Interpretation
In the United States in 2022, the top 5% captured 35.6% of pre tax income, showing a strong concentration of earnings at the very top within the earnings concentration category.
04 · Category
Wealth Inequality1 stats
01
There were 2,640 billionaires in the Forbes 2024 list (global count of billionaires).https://www.forbes.com/billionaires/
Interpretation
Wealth Inequality Interpretation
With 2,640 billionaires listed by Forbes in 2024, wealth inequality is starkly reflected in the sheer number of ultra rich individuals concentrated at the top of the global economy.
More related reading
06 · Category
Labor Market Inequality1 stats
01
In the US, the median weekly earnings gap in 2023 was $349between men ($1,001) and women ($652), reflecting persistent gender earnings inequalityhttps://www.bls.gov/cps/cpsaat38.htm
Interpretation
Labor Market Inequality Interpretation
In the labor market, the gender earnings gap persists with men earning a median weekly $349 more than women in 2023 ($1,001 versus $652), highlighting ongoing inequality in pay.
08 · Category
Income Distribution1 stats
01
In Japan, income inequality measured by the Gini coefficient for household income was 0.36 in 2022, indicating substantial income dispersionhttps://www.stat.go.jp/english/data/kakei/index.html
Interpretation
Income Distribution Interpretation
For the income distribution category, Japan’s household income Gini coefficient of 0.36 in 2022 signals a substantial spread in earnings, pointing to meaningful income inequality.
09 · Category
Poverty & Deprivation2 stats
01
In the United States, 15.0% of people were food insecure in 2023, showing deprivation patterns linked to inequalityhttps://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/
02
In the United States, 23.2% of children lived in households with income below 200% of the federal poverty level in 2023, indicating inequality-linked child economic vulnerabilityhttps://www.census.gov/library/publications/2024/demo/p60-283.html
Interpretation
Poverty & Deprivation Interpretation
In the Poverty & Deprivation landscape in the United States, 15.0% of people were food insecure in 2023 and 23.2% of children lived in households below 200% of the federal poverty level, underscoring how economic inequality drives both hunger and child hardship at the same time.
10 · Category
Housing Inequality1 stats
01
In the United States, 4.7% of households were considered to be homeless at any point in 2023 (annual point-in-time measure), reflecting severe housing deprivationhttps://www.huduser.gov/portal/datasets/assth/2023%20Assth/data%20doc.html
Interpretation
Housing Inequality Interpretation
In the United States, 4.7% of households were homeless at some point in 2023, underscoring how housing inequality can translate into acute, widespread deprivation rather than just differences in income or wealth.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Min-ji Park. (2026, February 13). Economic Inequality Statistics. Gitnux. https://gitnux.org/economic-inequality-statistics
MLA
Min-ji Park. "Economic Inequality Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/economic-inequality-statistics.
Chicago
Min-ji Park. 2026. "Economic Inequality Statistics." Gitnux. https://gitnux.org/economic-inequality-statistics.
Sources & references
29 datasets cited across this report
+8 additional datasets cited (not shown individually)
