Search results
Results from the WOW.Com Content Network
"Inside the World Bank's new inequality indicator: The number of countries with high inequality". World Bank. {}: CS1 maint: multiple names: authors list ; Global Peace Index Map of Gini data for 2007–2010; Shadow economies all over the world : new estimates for 162 countries from 1999 to 2007. Friedrich Schneider, Andreas Buehn, Claudio E ...
English: World map of the GINI coefficients by country. Based on World Bank data and other sources ranging from 1990 to 2020. Based on World Bank data and other sources ranging from 1990 to 2020. Above 50
A map showing Gini coefficients for Wealth within countries for 2021. [1]This is a list of countries by distribution of wealth, including Gini coefficients.Wealth distribution can vary greatly from income distribution in a country (see List of countries by income equality).
The country with the lowest Gini coefficient is Slovakia, with a Gini coefficient of 0.232. [10] The Gini coefficient of the global income in 2005 has been estimated to be between 0.61 and 0.68 by various sources. [11] [12] There are multiple issues in interpreting a Gini coefficient, as the same value may result from many different ...
English: World map of the GINI coefficients by country. Based on World Bank data ranging from 1992 to 2018. Date: 9 March 2021: Source: Own work: ... Gini katsayısı ...
English: World map showing the Gini coefficient in Dec. 2008, a measure of income inequality. Representation of Gini coefficient in the world (colored by countries, see also the legend ) < 0.25
Information is based on different years (2000-2006) for different countries. Data is missing for countries colored grey. World map showing life expectancy. World map showing the HDI (Human Development Index) World map of income inequality Gini coefficients by country (as %). Based on World Bank data ranging from 1992 to 2020.
The IHDI, estimated for the world and specific countries, captures the losses in human development due to inequality in health, education and income. Losses in all three dimensions vary across countries, ranging from just a few percent (e.g. Czech Republic and Slovenia) up to over 40% (e.g. Angola and Comoros). Overall loss takes into account ...