The ratio of government expenditure to GDP in Brazil was 45.68 percent in 2024. Between 2001 and 2024, the ratio rose by 5.88 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. The ratio is forecast to decline by 0.99 percentage points from 2024 to 2030, fluctuating as it trends downward.Shown here is the general government expenditure as a share of the national gross domestic product. As defined by the International Monetary Fund, the general government expenditure consists of total expense and the net acquisition of nonfinancial assets. The gross domestic product represents the total value of final goods and services produced during a year.

Brazil BR: Government Expenditure on Education: Total: % of GDP data was reported at 5.497 % in 2021. This records a decrease from the previous number of 5.772 % for 2020. Brazil BR: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 5.480 % from Dec 1995 (Median) to 2021, with 24 observations. The data reached an all-time high of 6.320 % in 2017 and a record low of 3.750 % in 2002. Brazil BR: Government Expenditure on Education: Total: % of GDP 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: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Median;

Brazil recorded a Government Budget deficit equal to 8.50 percent of the country's Gross Domestic Product in 2024. This dataset provides - Brazil Government Budget - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Actual value and historical data chart for Brazil Public Spending On Education Total Percent Of GDP

Key information about Brazil Consolidated Fiscal Balance: % of GDP

• Brazil Consolidated Fiscal Balance recorded a deficit equal to 6.9 % of its Nominal GDP in Sep 2025, compared with a deficit equal to 6.0 % in the previous quarter
• Brazil Consolidated Fiscal Balance to GDP data is updated quarterly, available from Dec 1997 to Sep 2025, with an average ratio of -2.2 %
• The data reached an all-time high of 0.3 % in Dec 1997 and a record low of -12.7 % in Dec 2020

CEIC calculates quarterly Consolidated Fiscal Balance as % of Nominal GDP from monthly Consolidated Fiscal Balance and monthly Nominal GDP. The Central Bank of Brazil provides Consolidated Fiscal Balance and Nominal GDP in local currency based on SNA 2008. Consolidated Fiscal Balance covers Central Government only. Consolidated Fiscal Balance prior Q1 2006 is based on SNA 1993.


Further information about Brazil Consolidated Fiscal Balance: % of GDP

• In the latest reports, Brazil National Government Debt reached 1,830.0 USD bn in Oct 2025
• Brazil Nominal GDP reached 587.7 USD bn in Sep 2025

Graph and download economic data for General Government Net Lending/Borrowing for Brazil (BRAGGXCNLGDP) from 2001 to 2030 about budget, Brazil, Net, and government.

In 2024, the Brazilian government spent more than 155 billion reals on health, out of which almost 56 percent, or over 86 billion Brazilian reals, were allocated to hospital and outpatient care. Meanwhile, epidemiological monitoring concentrated around 0.7 percent of the public health expenditure in the South American country, amounting to around 11.2 billion reals. Public health spending by state During the 2024 fiscal year, the Brazilian state with the highest public health expenditure was São Paulo, reaching nearly 20.99 billion Brazilian reals. Minas Gerais and Rio de Janeiro followed as the districts with the second and third-largest government expenditure on healthcare. In comparison, the states with the lowest health expenditure in the South American country were Acre, Amapá, and Roraima, with under 800 million Brazilian reals each. Health spending is expected to increase in the coming years Current health expenditure in Brazil is forecast to increase in the following years. By 2029, the figure, which includes government and consumer expenditure on health, is estimated to reach more than 312 billion U.S. dollars. In relation to its gross domestic product, Brazil allocated over 10 percent of its GDP to healthcare in 2021, being the Latin American country with the third-highest health spending relative to its gross domestic product, after Cuba and Argentina, and along with a group of countries. In addition, Brazilian households spent over 48 billion U.S. dollars on health out of their pockets in 2022, an increase of around four billion U.S. dollars in comparison to 2019.

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

Purpose:

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

Detta dataset presenterar information över statens skatteintäkter för 31 länder i Europa, Nordamerika och Sydamerika från 1800 (eller självständighet) till 2012. Länderna i datasetet är: Argentina, Australien, Österrike, Belgien, Bolivia, Brasilien, Kanada, Chile, Colombia, Danmark, Ecuador, Finland, Frankrike, Tyskland (Västtyskland mellan 1949 och 1990), Irland, Italien, Japan, Mexiko, Nya Zeeland, Norge, Paraguay, Peru, Portugal, Spanien, Sverige, Schweiz, Nederländerna, USA Storbritannien, USA, Uruguay och Venezuela. Med andra ord innehåller datasetet alla sydamerikanska, nordamerikanska och västeuropeiska länder med en befolkning på mer än en miljon plus Australien, nya Zeeland, Japan och Mexiko. Datasetet innehåller information om den centrala statens offentliga finanser. För att göra denna information jämförbar mellan länder har vi valt att normalisera de nominella intäktssiffrorna på två sätt: (i) som en andel av den totala budgeten och (ii) som en andel av den totala bruttonationalprodukten. Den centrala statens totala skatteintäkter är uppdelade baserat på Internationella valutafondens (IMF) handbok över statsfinanser från 2001. Denna ger en klassificering av intäktstyper och beskriver innehållet i varje klassificeringskategori. Med tanke på den bristfälliga historiska datan och våra projektbehov kombinerade vi några underkategorier. Till att börja med är vi intresserade av totala skatteintäkter (centaxtot), liksom andelarna av totala intäkter som kommer från direkta (centaxdirectsh) och indirekta (centaxindirectsh) skatter. Vidare mäter vi två underkategorier av direkt beskattning, nämligen skatter på egendom (centaxpropertysh) och inkomst (centaxincomesh). För indirekta skatter skiljer vi på punktskatter (centaxexcisesh), konsumtion (centaxconssh) och tullar (centaxcustomssh).

För en mer detaljerad beskrivning av datan och insamlingsprocessen, se kodboken som finns tillgänlig i .zip-filen.

Syfte:

Detta dataset presenterar information över statens skatteintäkter för 31 länder i Europa, Nordamerika och Sydamerika från 1800 (eller självständighet) till 2012. Länderna i datasetet är: Argentina, Australien, Österrike, Belgien, Bolivia, Brasilien, Kanada, Chile, Colombia, Danmark, Ecuador, Finland, Frankrike, Tyskland (Västtyskland mellan 1949 och 1990), Irland, Italien, Japan, Mexiko, Nya Zeeland, Norge, Paraguay, Peru, Portugal, Spanien, Sverige, Schweiz, Nederländerna, USA Storbritannien, USA, Uruguay och Venezuela. Med andra ord innehåller datasetet alla sydamerikanska, nordamerikanska och västeuropeiska länder med en befolkning på mer än en miljon plus Australien, nya Zeeland, Japan och Mexiko. Datasetet innehåller information om den centrala statens offentliga finanser. För att göra denna information jämförbar mellan länder har vi valt att normalisera de nominella intäktssiffrorna på två sätt: (i) som en andel av den totala budgeten och (ii) som en andel av den totala bruttonationalprodukten. Den centrala statens totala skatteintäkter är uppdelade baserat på Internationella valutafondens (IMF) handbok över statsfinanser från 2001. Denna ger en klassificering av intäktstyper och beskriver innehållet i varje klassificeringskategori. Med tanke på den bristfälliga historiska datan och våra projektbehov kombinerade vi några underkategorier. Till att börja med är vi intresserade av totala skatteintäkter (centaxtot), liksom andelarna av totala intäkter som kommer från direkta (centaxdirectsh) och indirekta (centaxindirectsh) skatter. Vidare mäter vi två underkategorier av direkt beskattning, nämligen skatter på egendom (centaxpropertysh) och inkomst (centaxincomesh). För indirekta skatter skiljer vi på punktskatter (centaxexcisesh), konsumtion (centaxconssh) och tullar (centaxcustomssh).