7 datasets found
  1. T

    Brazil GDP

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Brazil GDP [Dataset]. https://tradingeconomics.com/brazil/gdp
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Brazil
    Description

    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.

  2. T

    Brazil GDP per capita

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Brazil GDP per capita [Dataset]. https://tradingeconomics.com/brazil/gdp-per-capita
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Brazil
    Description

    The Gross Domestic Product per capita in Brazil was last recorded at 9564.58 US dollars in 2024. The GDP per Capita in Brazil is equivalent to 76 percent of the world's average. This dataset provides - Brazil GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. List of Countries by GDP Sector Composition

    • kaggle.com
    zip
    Updated Mar 20, 2023
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    Raj Kumar Pandey (2023). List of Countries by GDP Sector Composition [Dataset]. https://www.kaggle.com/datasets/rajkumarpandey02/list-of-countries-by-gdp-sector-composition
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    zip(8122 bytes)Available download formats
    Dataset updated
    Mar 20, 2023
    Authors
    Raj Kumar Pandey
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    CONTENT

    The figures are based on GDP (Nominal) and sector composition ratios provided by the CIA World Fact Book. Agriculture includes farming, fishing, and forestry. Industry includes mining, manufacturing, energy production, and construction. Services cover government activities, communications, transportation, finance, and all other private economic activities that do not produce material goods.

    CONTEXT

    • Agriculture Sector : Agriculture Sector contributes 6.4 percent of total world's economic production. Total production of sector is $5,084,800 million. China is the largest contributer followed by India. China and India accounts for 19.49 and 7.39 percent of total global agricultural output. World's largest economy United States is at third place. Next in line come Brazil and Indonesia

    • **Industry Sector : **With GDP of $23,835 billion, Industry Sector holds a share of 30% of total GDP nominal. China is the largest contributor followed by US. Japan is at 3rd and Germany is at 4th place. These four countries contributes 45.84 of total global industrial output.

    • Services Sector : Services sector is the largest sector of the world as 63 percent of total global wealth comes from services sector. United States is the largest producer of services sector with around 15.53 trillion USD. Services sector is the leading sector in 201 countries/economies. 30 countries receive more than 80 percent of their GDP from services sector. Chad has lowest 27% contribution by services sector in its economy.

  4. m

    Real_GDP_Per_Capita_Constant_2015_USD - Brazil

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2024
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    macro-rankings (2024). Real_GDP_Per_Capita_Constant_2015_USD - Brazil [Dataset]. https://www.macro-rankings.com/selected-country-rankings/real-gdp-per-capita-constant-2015-usd/brazil
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    excel, csvAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Brazil. Indicator Definition:GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 9,564.58 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.98 percent compared to the value the year prior.The 1 year change in percent is 2.98.The 3 year change in percent is 8.70.The 5 year change in percent is 9.04.The 10 year change in percent is 2.42.The Serie's long term average value is 6,367.14 United States Dollars. It's latest available value, on 12/31/2024, is 50.22 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +267.37%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

  5. k

    World Competitiveness Ranking based on Criteria

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Mar 13, 2024
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    (2024). World Competitiveness Ranking based on Criteria [Dataset]. https://datasource.kapsarc.org/explore/dataset/world-competitiveness-ranking-based-on-criteria-2016/
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    Dataset updated
    Mar 13, 2024
    Description

    Explore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.

    Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings

    Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela

    Follow data.kapsarc.org for timely data to advance energy economics research.

  6. f

    List of noncommunicable diseases.

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Oct 20, 2023
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    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom (2023). List of noncommunicable diseases. [Dataset]. http://doi.org/10.1371/journal.pone.0293144.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 20, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maddalena Ferranna; Daniel Cadarette; Simiao Chen; Parastou Ghazi; Faith Ross; Leo Zucker; David E. Bloom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Noncommunicable diseases and mental health conditions (referred to collectively as NMHs) are the greatest cause of preventable death, illness, and disability in South America and negatively affect countries’ economic performance through their detrimental impacts on labor supply and capital investments. Sound, evidence-based policy-making requires a deep understanding of the macroeconomic costs of NMHs and of their distribution across countries and diseases. The paper estimates and projects the macroeconomic burden of NMHs over the period 2020–2050 in 10 South American countries. We estimate the impact of NMHs on gross domestic product (GDP) through a human capital-augmented production function approach, accounting for mortality and morbidity effects of NMHs on labor supply, for the impact of treatment costs on physical capital accumulation, and for variations in human capital by age. Our central estimates suggest that the overall burden of NMHs in these countries amounts to $7.3 trillion (2022 international $, 3% discount rate, 95% confidence interval: $6.8–$7.8 trillion). Overall, the macroeconomic burden of NMHs is around 4% of total GDP over 2020–2050, with little variation across countries (from 3.2% in Peru to 4.5% in Brazil). In other words, without NMHs, annual GDP over 2020–2050 would be about 4% larger. In most countries, the largest macroeconomic burden is associated with cancers. Results from the paper point to a significant macroeconomic burden of NMHs in South America and provide a strong justification for investment in NMH prevention, early detection, treatment, and formal and informal care.

  7. f

    Variables for the statistical analyses.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Sep 18, 2025
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    Daniel Silva; Caroline Prolo; Pedro Braga; Amanda Witzke; Tiago Gomes; Laura Velez (2025). Variables for the statistical analyses. [Dataset]. http://doi.org/10.1371/journal.pstr.0000198.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 18, 2025
    Dataset provided by
    PLOS Sustainability and Transformation
    Authors
    Daniel Silva; Caroline Prolo; Pedro Braga; Amanda Witzke; Tiago Gomes; Laura Velez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Global efforts to limit global temperature rise require significant corporate emission reductions, but there is growing concern about carbon leakage from regulated markets to regions with weaker environmental governance. While companies in the Global North increasingly adopt emission reduction targets, the effectiveness of corporate climate action in emerging markets remains poorly understood, particularly regarding the relationship between economic growth and emissions reduction. This study investigates the emissions from 2019 to 2023 of publicly listed companies in Brazil, a major global emitter and the largest economy in South America. Our panel data analysis reveals that firm-level financial performance, particularly profitability, is a primary driver of emissions, outweighing the average effects of corporate emission targets. While macroeconomic variables such as GDP growth and sectoral shocks are included as controls, the most consistent and significant economic effect stems from company profits. We evaluate emissions while controlling for sectoral and macroeconomic effects. Results reveal that companies have focused on energy consumption, while supply chain emissions increased, without a proper sectoral-level engagement and report. Notably, sectors exposed to international pressure show greater progress in emission reduction, highlighting the importance of market forces in driving corporate climate action. Our findings highlight developing countries’ challenges in decoupling economic growth from emissions and the necessary engagement with supply chains in the Global South. These findings have important implications for climate policy in emerging markets. This study contributes to understanding how emerging markets must advance global decarbonization while managing economic development pressures.

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TRADING ECONOMICS, Brazil GDP [Dataset]. https://tradingeconomics.com/brazil/gdp

Brazil GDP

Brazil GDP - Historical Dataset (1960-12-31/2024-12-31)

Explore at:
62 scholarly articles cite this dataset (View in Google Scholar)
excel, csv, xml, jsonAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 1960 - Dec 31, 2024
Area covered
Brazil
Description

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.

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