Zimbabwe: Gini income inequality index: The latest value from 2019 is 50.3 index points, an increase from 44.3 index points in 2017. In comparison, the world average is 34.98 index points, based on data from 76 countries. Historically, the average for Zimbabwe from 2011 to 2019 is 45.93 index points. The minimum value, 43.2 index points, was reached in 2011 while the maximum of 50.3 index points was recorded in 2019.

Gini Coefficient data was reported at 0.503 NA in 2019. This records an increase from the previous number of 0.443 NA for 2017. Gini Coefficient data is updated yearly, averaging 0.443 NA from Dec 2011 (Median) to 2019, with 3 observations. The data reached an all-time high of 0.503 NA in 2019 and a record low of 0.432 NA in 2011. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Zimbabwe – Table ZW.OWID.ESG: Social: Gini Coefficient: Annual.

The gini index in Kenya was forecast to remain on a similar level in 2029 as compared to 2024 with 0.39 points. According to this forecast, the gini will stay nearly the same over the forecast period. 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 Mozambique and Zimbabwe.

Maximum reported cluster size (MRCS) from 2015–2018 in Zimbabwe determined using the Gini coefficient.

39,80 (%) in 2018. Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.