In 2023, the United Kingdom's Gini coefficient score was 33.1, a slight decrease when compared with the previous year. The Gini coefficient is a measurement of inequality within economies, a lower score indicates more equality while a higher score implies more inequality.

Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=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 *** 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).

In 2023, Bulgaria had the highest Gini Index score in the European Union at 37.2, implying that the country had the highest level of inequality among European countries. The Gini Index is a measure of inequality within economies, a lower score indicates more equality, and a higher score less equality. Slovakia had the lowest score among EU countries for 2023 with a score of 21.6, suggesting that it is the most egalitarian society in Europe.

Euro Area - Gini coefficient of equivalised disposable income was 29.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Euro Area - Gini coefficient of equivalised disposable income - last updated from the EUROSTAT on July of 2025. Historically, Euro Area - Gini coefficient of equivalised disposable income reached a record high of 31.00% in December of 2014 and a record low of 29.80% in December of 2023.

This data file includes the Gini coefficient calculated for different wealth welfare aggregates constructed for all Luxembourg Wealth Study (LWS) datasets in all waves (as of March 2022). It includes Gini coefficients calculated on: • Disposable Net Worth • Value of Principal residence • Financial Assets

South Africa had the highest inequality in income distribution in 2024, with a Gini score of **. Its South African neighbor, Namibia, followed in second. The Gini coefficient measures the deviation of income (or consumption) distribution among individuals or households within a country from a perfectly equal distribution. A value of 0 represents absolute equality, and a value of 100 represents absolute inequality. All the 20 most unequal countries in the world were either located in Africa or Latin America & The Caribbean.

Of the countries included, South Africa had the highest income inequality, with a Gini coefficient of 0.62. It was also the country with the highest inequality level worldwide. Of the OECD members, Costa Rica had the highest income inequality, whereas Slovakia had the lowest.

Royaume-Uni: Gini income inequality index: Pour cet indicateur, La Banque mondiale fournit des données pour la Royaume-Uni de 1968 à 2021. La valeur moyenne pour Royaume-Uni pendant cette période était de 32.53 index points avec un minimum de 26.8 index points en 1968 et un maximum de 38.8 index points en 2000.

This dataset provides values for GINI INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

Multidimensional Poverty Headcount Ratio: UNDP: % of total population data was reported at 3.800 % in 2015. Multidimensional Poverty Headcount Ratio: UNDP: % of total population data is updated yearly, averaging 3.800 % from Dec 2015 (Median) to 2015, with 1 observations. The data reached an all-time high of 3.800 % in 2015 and a record low of 3.800 % in 2015. Multidimensional Poverty Headcount Ratio: UNDP: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.;Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. (https://ophi.org.uk/mpi-methodological-note-55-2/);;

This data file includes the Inequality and Poverty Key Figures (as of March 2022), constructed for all Luxembourg Income Study (LIS) Study datasets in all waves. It includes multiple national-level measures: • on inequality measures: Gini, Atkinson coefficients, and percentile ratios • on relative poverty rates for various demographic groups • median and mean of disposable household income

At the turn of the twentieth century, the wealthiest one percent of people in the United Kingdom controlled 71 percent of net personal wealth, while the top ten percent controlled 93 percent. The share of wealth controlled by the rich in the United Kingdom fell throughout the twentieth century, and by 1990 the richest one percent controlled 16 percent of wealth, and the richest ten percent just over half of it.

This paper was created in 2011; Abstract: This paper examines the relationship between educational inequalities to income inequality across countries by using Gini Coefficient and Cobb-Douglas (CD) production function. Also, the paper reinforces the future vision of the literature on this subject by utilizing the most recent cross-section data, and we create a new combination of controls for both the labour market and socio-political. There are country-specific variables that can have an effect on each of them, and thus make it difficult to assess income inequality across countries. Considering these difficulties, the structural components of each country were controlled. Specifically, separate regressions are performed that takes into account the level of development of the country. Then we discuss how to address this matter in the literature, and also demonstrated the theoretical bases of the paper in addition to an empirical explanation model, and suggest policy recommendations in accordance with the results. This would provide governments with more direction to improve this income inequality.

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.

We investigate whether changes in economic inequality affect mortality in rich countries. To answer this question we use a new source of data on income inequality: tax data on the share of pretax income going to the richest 10 percent of the population in Australia, Canada, France, Germany, Ireland, the Netherlands, New Zealand, Spain, Sweden, Switzerland, the UK, and the US between 1903 and 2003. Although this measure is not a good proxy for inequality within the bottom half of the income distribution, it is a good proxy for changes in the top half of the distribution and for the Gini coefficient. In the absence of country and year fixed effects, the income share of the top decile is negatively related to life expectancy and positively related to infant mortality. However, in our preferred fixed-effects specification these relationships are weak, statistically insignificant, and likely to change their sign. Nor do our data suggest that changes in the income share of the richest 10 percent affect homicide or suicide rates.

Gini coefficient and contribution rate results of overall digitalization development.

In Germany, the Gini index increased from **** points in 2005 to **** points in 2022. The Gini Index is a measurement of inequality within economies, a lower score indicates more equality while a higher score implies more inequality. Germany's index score has increased since 2019 to 2021, however, it has decreased in the most recent period recorded, reaching its lowest rate since 2012.

Großbritannien weist im Jahr 2021 einen Gini-Index von 32,4 Punkten auf. Der Durchschnitt in der Europäischen Union (EU) beträgt rund 29,6 Punkte. Diese Statistik zeigt die Entwicklung der Einkommensungleichheit in Großbritannien im Zeitraum 1968 bis 2021 anhand des Gini-Index. Was ist der Gini-Index? Der Gini-Index oder Gini-Koeffizient ist ein statistisches Maß, das zur Darstellung von Ungleichverteilungen verwendet wird. Er kann einen beliebigen Wert zwischen 0 und 100 Punkten annehmen. Der Gini-Index zeigt die Abweichung der Verteilung des verfügbaren Einkommens auf Personen oder Haushalte innerhalb eines Landes von einer vollkommen gleichen Verteilung. Ein Wert von 0 bedeutet absolute Gleichheit, ein Wert von 100 absolute Ungleichheit.

The number of high net worth individuals (HNWIs) in Europe has grown steadily over the past decade. This trend reflects broader wealth accumulation patterns across the continent, with the richest segments of society gaining an increasingly larger share of total wealth. Despite this concentration at the top, recent years have seen some positive signs in terms of overall income inequality reduction in Europe. Wealth concentration at the top From 1995 to 2021, the wealthiest one percent in Europe increased their share of wealth from 22 percent to over 26 percent. During this same period, the bottom 90 percent saw their collective share shrink. This concentration of wealth at the top aligns with the growth in HNWIs observed in countries in Europe. The top 10 percent of wealthy Europeans now own more than the remaining 90 percent combined, highlighting the significant wealth disparity that persists despite the overall increase in HNWIs.

Signs of improving income equality While wealth concentration has increased, there are indications that income inequality in the European Union has been improving in recent years. The Gini coefficient, a measure of income inequality, has been declining in both the EU and Eurozone since 2014, reaching new lows of 29.6 and 29.8 respectively in 2023. Additionally, the income ratio between the top 20 percent and bottom 20 percent of earners in the EU has fallen from 5.22 in 2015 to 4.74 in 2022. These trends suggest that despite the growth in HNWIs, efforts to address income disparities may be having some positive effects across the broader population.