Gini Coefficient data was reported at 0.405 NA in 2018. This records an increase from the previous number of 0.378 NA for 2011. Gini Coefficient data is updated yearly, averaging 0.378 NA from Dec 1991 (Median) to 2018, with 5 observations. The data reached an all-time high of 0.405 NA in 2018 and a record low of 0.353 NA in 1991. Gini Coefficient data remains active status in CEIC and is reported by Our World in Data. The data is categorized under Global Database’s Tanzania – Table TZ.OWID.ESG: Social: Gini Coefficient: Annual.

Comparing the 130 selected regions regarding the gini index , South Africa is leading the ranking (0.63 points) and is followed by Namibia with 0.58 points. At the other end of the spectrum is Slovakia with 0.23 points, indicating a difference of 0.4 points to South Africa. 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).

42,20 (%) 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.

Estimation command, equation, and substituted coefficients.

Stepwise regression.

Description of variables and corresponding statistical data sources.

Causality test—t-statistic approach.

Wald test.

ARDL long-run form and bounds test.