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.

As of 2019, ** percent of millionaires in the United States had a net worth of between *********** and ********************** U.S. dollars. On the other end of the scale, **** percent of millionaires had a net worth of over *** million U.S. dollars.

The gini index in Zambia was forecast to continuously increase between 2024 and 2029 by in total 0.01 points (+1.75 percent). The gini is estimated to amount to 0.58 points in 2029. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to one (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the gini index in countries like Ethiopia and Uganda.

The average for 2021 based on 13 countries was 1.73 percent. The highest value was in Syria: 8.83 percent and the lowest value was in Iraq: -0.01 percent. The indicator is available from 1999 to 2021. Below is a chart for all countries where data are available.

What effect does rising income inequality have on longevity in advanced developed economies? This paper focuses on the effect of income inequality on mortality rates for men and women in a subset of OECD countries over nearly six decades from 1950-2008. Using adult mortality rates at aged sixty-five as the outcome measure of mortality, the latest available data on inverted Pareto-Lorenz coefficient as a measure of income inequality, we conduct a range of analysis to investigate the relationship. The findings show that income inequality has a negative effect on mortality rates for both men and women, that is, an increase in income inequality at the top of the distribution does not appear to have a detrimental effect on adult mortality rates in the population of advanced developed countries. For every one unit increase in income inequality, female mortality rates decreased by 0.024 percentage points (p≤0.001) and male mortality rates decreased by 0.052 percentage points (p≤0.001). Dynamic OLS results show that for every one unit increase in income inequality, female mortality rates decreased by 0.032 percentage points (p≤0.01) and male mortality rates decreased by 0.067 percentage points (p≤0.001). The findings remain robust to changes in methodology and the inclusion of control variables including GDP, population and the health capital index.