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).

Abstract

The Country Opinion Survey in Brazil assists the World Bank Group (WBG) in better understanding how stakeholders in Brazil perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Brazil on 1) their views regarding the general environment in Brazil; 2) their overall attitudes toward the WBG in Brazil; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Brazil; and 4) their perceptions of the WBG’s future role in Brazil.

Geographic coverage

National

Analysis unit

Stakeholders of the World Bank Group in Brazil

Kind of data

Sample survey data [ssd]

Sampling procedure

From February to May 2024, a total of 858 stakeholders in Brazil were invited to provide their opinions on the WBG’s work by participating in a Country Opinion Survey (COS). A list of potential participants was compiled by the WBG country team and the field agency. Participants were drawn from the Offices of the President, Vice President, Minister, and Parliament/National Congress, government institutions, subnational governments, bilateral or multilateral agencies, the private sector, civil society, academia, and the media. Of these stakeholders, 159 participated in the survey.

Mode of data collection

The survey was conducted via Internet [int]

Research instrument

The survey was conducted in English and Portuguese languages. The English version is provided as related material.

Response rate

The response rate was 19%

The results of this year’s survey were compared to the FY19 Survey, which had a response rate of 32% (N=300). Comparing responses across Country Surveys reflects changes in attitudes over time but also changes in respondent samples, changes in methodology, and changes to the survey instrument itself. To reduce the influence of the latter factor, only those questions with similar response scales/options were analyzed. This year’s survey had a similar distribution of respondents across stakeholder groups with a slight outreach to and/or response from subnational governments. Any differences in stakeholder composition between the two years should be considered when interpreting the results of the past-year comparison analyses.

The World Bank Group is interested in gauging the views of clients and partners who are either involved in development in Brazil or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank Group's team that works in Brazil, greater insight into how the Bank's work is perceived. This is one tool the World Bank Group uses to assess the views of its critical stakeholders. With this understanding, the World Bank Group hopes to develop more effective strategies, outreach and programs that support development in Brazil at the federal/state/municipal level. The World Bank Group commissioned an independent firm to oversee the logistics of this effort in Brazil. This survey was designed to achieve the following objectives: Assist the World Bank Group in gaining a better understanding of how stakeholders in Brazil perceive the Bank; Obtain systematic feedback from stakeholders in Brazil regarding: · Their views regarding the general environment in Brazil; · Their overall attitudes toward the World Bank Group in Brazil; · Overall impressions of the World Bank Group's effectiveness and results, knowledge work, and communication and information sharing in Brazil; · Perceptions of the recent trends and the World Bank Group's future role in Brazil. Use data to help inform Brazil country team's strategy.

Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data was reported at 2.040 % in 2017. This records an increase from the previous number of 2.030 % for 2008. Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % data is updated yearly, averaging 2.030 % from Dec 1996 (Median) to 2017, with 3 observations. The data reached an all-time high of 2.040 % in 2017 and a record low of 1.920 % in 1996. Proportion of Population Pushed Below the 60% Median Consumption Poverty Line By Out-of-Pocket Health Expenditure: % 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. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the 60% median consumption but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory. Geneva: World Health Organization; 2023. (https://www.who.int/data/gho/data/themes/topics/financial-protection);Weighted average;This indicator is related to Sustainable Development Goal 3.8.2 [https://unstats.un.org/sdgs/metadata/].

The Gross Domestic Product (GDP) in Brazil was worth 2179.41 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Brazil represents 2.05 percent of the world economy. This dataset provides the latest reported value for - Brazil GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Population Growth for Brazil (SPPOPGROWBRA) from 1961 to 2024 about Brazil, population, and rate.

Graph and download economic data for Constant GDP per capita for Brazil (NYGDPPCAPKDBRA) from 1960 to 2024 about Brazil, per capita, real, and GDP.

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

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/);;

Graph and download economic data for Percentage of Foreign Banks Among Total Banks for Brazil (DDOI13BRA156NWDB) from 1995 to 2013 about Brazil, foreign, percent, banks, and depository institutions.

Inflation, consumer prices (annual %) in Brazil was reported at 4.3675 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Population ages 65 and above (% of total population) in Brazil was reported at 11.05 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Population ages 65 and above (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Context

The purpose behind this dataset was, initially, to visualize, compare and understand how emerging economies are developing, both in relation to each other and internally. Since the data provided by The World Bank is very insightful, I've decided to gather it in a standardized and updated format and upload it, so others can also provide us with better analysis and, perhaps, better insights into each country's economies.

Content

This dataset contains 5 files: Economy, EducationAndEnvironment, HealthAndPoverty, PrivateSector and PublicSector data. All files are formatted in the following structure:

SeriesName | SeriesCode | CountryName | CountryCode | Year | Value

Acknowledgements

The data present in this dataset is only possible due to the work and services of https://databank.worldbank.org.

Inspiration

Is it possible to extract some fundamental correlations between emerging economies and their impacts on social welfare? What are the relations between a country's education expenditure and their employment rate? What other aspects of society can we better understand through this data and avoid common pitfalls that have occurred to other countries?

Graph and download economic data for Population, Total for Brazil (POPTOTBR52647NWDB) from 1967 to 2012 about Brazil and population.

GDP deflator: linked series (base year varies by country) in Brazil was reported at 254 year in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - GDP deflator: linked series (base year varies by country) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Labor force, total in Brazil was reported at 106790403 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Labor force, total - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Brazil was 1,007 individuals.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

Domestic credit provided by financial sector (% of GDP) in Brazil was reported at 113 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Domestic credit provided by banking sector (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Population ages 60-64, male (% of male population) in Brazil was reported at 4.8754 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Population ages 50-64, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Abstract

This Survey on Ethics and Corruption in the Federal Public Service was held online from April 28 to May 28, 2021, in partnership with the Office of the Federal Comptroller General (CGU), the Ministry of the Economy, and the National School of Public Administration (ENAP). All civil servants were represented in the sample, totaling 22,130 respondents. The sample covered all federative units and ministries. Most civil servants report having witnessed some sort of unethical practice during their time in the public sector. Of all respondents, 58.7 percent stated that they witnessed some unethical practice during their career in public service. The most frequent practices were using one's position to help friends or family and bending the rules under pressure from one’s superiors. Over the past three years, around one third of all civil servants (33.4 percent) witnessed some unethical practice, according to their reports. Corruption in the public service is multifaceted, thus requiring granular information about its nature, prevalence, and vulnerable actors. In view of its scope, thematic scope, and representativeness, the data generated by the study could become a valuable source for the development of knowledge about corruption in the federal public service. We hope that this Survey on Ethics and Corruption in the Federal Public Service becomes a tool to complement current and future efforts to fight corruption.

Geographic coverage

All states in Brazil.

Analysis unit

Civil servants.

Universe

The survey included all active civil servants servants in the Brazilian federal government from April through May 2021. This study did not include military personnel or retired civil servants. The survey also excluded those respondents who, when answering the question "What is your link with the public administration", replied “I'm not a public agent” and “I'd rather not answer”, as long as they had less than five years of service.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey was conducted in a census approach, and all federal civil servants were included in our sampling frame.

Sampling deviation

There were no deviations from the sample design.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was administered in Portuguese and is provided as an external resource.

Cleaning operations

Data was processed primarily for confidentiality. Details on the data processing are outlined in the supporting documents.

Response rate

Pooled response rate was 3.5%, but the response rate varied across geographic units and ministries.

Sampling error estimates

Due to high non-response, it was possible that our estimates were not representative of the population of federal civil servants in Brazil and therefore induced sampling error. To address this concern, we generated weights that adjusted our sample to that observed in the census of personnel data.