Brazil BR: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 52.000 % in 2022. This records a decrease from the previous number of 52.900 % for 2021. Brazil BR: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 56.400 % from Dec 1981 (Median) to 2022, with 38 observations. The data reached an all-time high of 63.300 % in 1989 and a record low of 48.900 % in 2020. Brazil BR: Gini Coefficient (GINI Index): World Bank Estimate 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. Gini index measures the extent to which the distribution of income (or, in some cases, 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.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Según el grado de desigualdad económica, medido por el coeficiente de Gini, Brasil es el país más desigual de América Latina. En contraste, República Dominicana muestra el menor nivel de desigualdad, con un coeficiente de Gini de ****. Así, esta última nación se posiciona incluso por debajo de países como Uruguay y Chile, que tienen los índices de desarrollo humano más altos en la región latinoamericana.

Brazil: Gini income inequality index: The latest value from 2022 is 52 index points, a decline from 52.9 index points in 2021. In comparison, the world average is 38.33 index points, based on data from 28 countries. Historically, the average for Brazil from 1981 to 2022 is 56.28 index points. The minimum value, 48.9 index points, was reached in 2020 while the maximum of 63.2 index points was recorded in 1989.

Brazil Gini Coefficient: Household Income: per Capita: Northeast data was reported at 0.567 % in 2017. This records an increase from the previous number of 0.555 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast data is updated yearly, averaging 0.561 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.567 % in 2017 and a record low of 0.555 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

View yearly updates and historical trends for Brazil GINI Index. Source: World Bank. Track economic data with YCharts analytics.

Brazil Gini Coefficient: Household Income: per Capita: Northeast: Paraíba data was reported at 0.563 % in 2017. This records an increase from the previous number of 0.540 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Paraíba data is updated yearly, averaging 0.551 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.563 % in 2017 and a record low of 0.540 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Paraíba data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Brazil Gini Coefficient: Household Income: per Capita: Southeast: Rio de Janeiro data was reported at 0.521 % in 2017. This records a decrease from the previous number of 0.524 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Southeast: Rio de Janeiro data is updated yearly, averaging 0.522 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.524 % in 2016 and a record low of 0.521 % in 2017. Brazil Gini Coefficient: Household Income: per Capita: Southeast: Rio de Janeiro data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Between 2010 and 2023, Brazil's data on the degree of inequality in wealth distribution based on the Gini coefficient reached 52. That year, Brazil was deemed one of the most unequal country in Latin America. Prior to 2010, wealth distribution in Brazil had shown signs of improvement, with the Gini coefficient decreasing in the previous 3 reporting periods. The Gini coefficient measures the deviation of the distribution of income (or consumption) among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality.

Historical dataset showing Brazil income inequality - gini coefficient by year from N/A to N/A.

Brazil Gini Coefficient: Household Income: per Capita: Southeast: São Paulo data was reported at 0.534 % in 2017. This records a decrease from the previous number of 0.541 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Southeast: São Paulo data is updated yearly, averaging 0.538 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.541 % in 2016 and a record low of 0.534 % in 2017. Brazil Gini Coefficient: Household Income: per Capita: Southeast: São Paulo data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Brazil Gini Coefficient: Household Income: per Capita: Central West: Mato Grosso data was reported at 0.469 % in 2017. This records an increase from the previous number of 0.457 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Central West: Mato Grosso data is updated yearly, averaging 0.463 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.469 % in 2017 and a record low of 0.457 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: Central West: Mato Grosso data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Mapa exibindo a desigualdade na distribuição da terra expresso por faixas do índice de GINI dos estabelecimentos rurais por municípios – 2006 Nota: Índice de Gini - medida do grau de concentração de uma distribuição, cujo valor varia de zero (perfeita igualdade) até um (a desigualdade máxima).

This paper aims to systematize the explanations for income inequality decreases observed in Brazil between 2001 and 2015, analyzing each region and subperiod separately and focusing on social programs. The results indicate that social program incomes, as well as pension incomes, have gained prominence as income sources relative to labor income. Social program incomes contributed 19% to income inequality decreases, especially in the North and Northeast, between 2001-2004 and 2008-2012. However, this contribution declined in the Northeast and increased in the Southeast at the beginning of the great recession. Labor income contributed 57% to income inequality decreases and explains why a sharper decrease was noted in the South and Center-West regions. Official pensions contributed 17% to inequality reductiomn in all Brazilian regions, more strongly between 2004 and 2012, when significant minimum wage increases occurred.

Brazil Gini Coefficient: Household Income: per Capita: South: Paraná data was reported at 0.492 % in 2017. This records an increase from the previous number of 0.485 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: South: Paraná data is updated yearly, averaging 0.488 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.492 % in 2017 and a record low of 0.485 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: South: Paraná data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Abstract Between 2004 and 2014, Brazil experienced a rise in mass consumption, thanks to the increase in the purchasing power of low-income families. This article analyzes, from a microeconomic perspective, the changes in the pattern of household expenditure that resulted from this scenario. It also assesses the extent to which the economic crisis that started in 2014 has reversed the improvement in the welfare level reached in the previous period. To this end, we use data from the 2017-2018 Brazilian Family Budget Survey, comparing them with the corresponding results from its previous edition (2008-2009). We estimate per capita family expenses in different categories, as well as income-elasticities and concentration ratios, to evaluate which types of expenditure have become more (or less) concentrated in the relatively wealthy families. We pay particular attention to consumption expenditure, given its direct influence on living standards.

In 2024, the national gross income per capita in Brazil amounted to around 9,950 U.S. dollars, an increase from 9,310 dollars per person in the previous year. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Excluding countries and territories in the Caribbean, Uruguay and Chile were the Latin American countries with the highest national income per capita. Demographic elements and income There are many factors that may influence the income level, such as gender, academic attainment, location, ethnicity, etc. The gender pay gap, for example, is significant in Brazil. As of 2024, the monthly income per capita of men was 3,549 Brazilian reals, while the figure was 2,793 reals in the case of women. Additionally, monthly per capita household income varies greatly from state to state; the figures registered in Distrito Federal and São Paulo more than double the income of federative units like Acre, Alagoas or Maranhão. A high degree of inequality The Gini coefficient measures the degree of income inequality on a scale from 0 (total equality of incomes) to 100 (total inequality). Between 2010 and 2023, Brazil's degree of inequality in wealth distribution based on the Gini coefficient reached 52. That year, Brazil was deemed one of the most unequal countries in Latin America. Although the latest result represented one of the worst values in recent years, the Gini index is projected to improve slightly in the near future.

Brazil Gini Coefficient: Household Income: per Capita: North: Amazonas data was reported at 0.604 % in 2017. This records an increase from the previous number of 0.572 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: North: Amazonas data is updated yearly, averaging 0.588 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.604 % in 2017 and a record low of 0.572 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: North: Amazonas data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Brazil Gini Coefficient: Household Income: per Capita: Northeast: Bahia data was reported at 0.599 % in 2017. This records an increase from the previous number of 0.548 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Bahia data is updated yearly, averaging 0.574 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.599 % in 2017 and a record low of 0.548 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Bahia data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.

Relationship between human development index, Gini coefficient, and poverty incidence in inland cities of Northeast Brazil, 2020.

Brazil Gini Coefficient: Household Income: per Capita: Northeast: Alagoas data was reported at 0.530 % in 2017. This records an increase from the previous number of 0.526 % for 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Alagoas data is updated yearly, averaging 0.528 % from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.530 % in 2017 and a record low of 0.526 % in 2016. Brazil Gini Coefficient: Household Income: per Capita: Northeast: Alagoas data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAF003: Gini Coefficient: Household Income: by Region.