46 datasets found
  1. B

    Brazil Human development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 19, 2015
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    Globalen LLC (2015). Brazil Human development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Brazil/human_development/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 19, 2015
    Dataset authored and provided by
    Globalen LLC
    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, 1980 - Dec 31, 2023
    Area covered
    Brazil
    Description

    Brazil: Human Development Index (0 - 1): The latest value from 2023 is 0.786 points, an increase from 0.76 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Brazil from 1980 to 2023 is 0.702 points. The minimum value, 0.545 points, was reached in 1980 while the maximum of 0.786 points was recorded in 2023.

  2. HDI Brazil (IDH Brasil)

    • kaggle.com
    Updated Sep 28, 2018
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    Paulo Eduardo Neves (2018). HDI Brazil (IDH Brasil) [Dataset]. https://www.kaggle.com/pauloeduneves/hdi-brazil-idh-brasil/notebooks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2018
    Dataset provided by
    Kaggle
    Authors
    Paulo Eduardo Neves
    Area covered
    Brazil
    Description

    Context

    Brazilian summarized census data for each county and the calculated Human Development Index calculated by United Nations Development Programme (PNUD Brasil).

    Content

    Census data by municipality for the years 1191, 200, adn 2010. PNUD Brasil also calculates the Human Development Index (IDH in Portuguese).

    Acknowledgements

    Data was cleaned, summarized and published by the United Nations Development Programme

    Inspiration

    How to improve Brasil?

  3. f

    Twin Peaks: A spatial and temporal study of twinning rates in Brazil

    • plos.figshare.com
    tiff
    Updated Jun 2, 2023
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    Augusto César Cardoso-dos-Santos; Juliano Boquett; Marcelo Zagonel de Oliveira; Sidia Maria Callegari-Jacques; Márcia Helena Barbian; Maria Teresa Vieira Sanseverino; Ursula Matte; Lavínia Schuler-Faccini (2023). Twin Peaks: A spatial and temporal study of twinning rates in Brazil [Dataset]. http://doi.org/10.1371/journal.pone.0200885
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Augusto César Cardoso-dos-Santos; Juliano Boquett; Marcelo Zagonel de Oliveira; Sidia Maria Callegari-Jacques; Márcia Helena Barbian; Maria Teresa Vieira Sanseverino; Ursula Matte; Lavínia Schuler-Faccini
    License

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

    Area covered
    Brazil
    Description

    Twin births are an important public health issue due to health complications for both mother and children. While it is known that contemporary factors have drastically changed the epidemiology of twins in certain developed countries, in Brazil, relevant data are still scarce. Thus, we carried out a population-based study of live births in spatial and temporal dimensions using data from Brazil's Live Birth Information System, which covers the entire country. Over 41 million births registered between 2001 and 2014 were classified as singleton, twin or multiple. Twinning rates (TR) averaged 9.41 per 1,000 for the study period and a first-order autoregressive model of time-series analysis revealed a global upward trend over time; however, there were important regional differences. In fact, a Cluster and Outlier Analysis (Anselin Local Moran's I) was performed and identified clusters of high TR in an area stretching from the south of Brazil's Northeast Region to the South Region (Global Moran Index = 0.062, P < 0.001). Spearman's correlation coefficient and a Wilcoxon matched pairs test revealed a positive association between Human Development Index (HDI) and TRs in different scenarios, suggesting that the HDI might be an important indicator of childbearing age and assisted reproduction techniques in Brazil. Furthermore, there was a sharp increase of 26.42% in TR in women aged 45 and over during study period. The upward temporal trend in TRs is in line with recent observations from other countries, while the spatial analysis has revealed two very different realities within the same country. Our approach to TR using HDI as a proxy for underlying socioeconomic changes can be applied to other developing countries with regional inequalities resembling those found in Brazil.

  4. Brazil Dataset

    • kaggle.com
    Updated Apr 10, 2020
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    Thiago Bodruk (2020). Brazil Dataset [Dataset]. https://www.kaggle.com/thiagobodruk/brazilianstates/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 10, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Thiago Bodruk
    License

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

    Area covered
    Brazil
    Description

    Introduction

    This dataset contains information related to Brazilian states, like names, abbreviations, population size, latitude, longitude, capitals, area, GDP, HDI and much more. This data was compiled extracting several datasets from IBGE.

  5. f

    Relationship between human development index, Gini coefficient, and poverty...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Sanderson José Costa de Assis; Johnnatas Mikael Lopes; Bartolomeu Fagundes de Lima Filho; Geronimo José Bouzas Sanchis; Thais Sousa Rodrigues Guedes; Rafael Limeira Cavalcanti; Diego Neves Araujo; Antonio José Sarmento da Nóbrega; Marcello Barbosa Otoni Gonçalves Guedes; Angelo Giuseppe Roncalli da Costa Oliveira (2023). Relationship between human development index, Gini coefficient, and poverty incidence in inland cities of Northeast Brazil, 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0253171.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sanderson José Costa de Assis; Johnnatas Mikael Lopes; Bartolomeu Fagundes de Lima Filho; Geronimo José Bouzas Sanchis; Thais Sousa Rodrigues Guedes; Rafael Limeira Cavalcanti; Diego Neves Araujo; Antonio José Sarmento da Nóbrega; Marcello Barbosa Otoni Gonçalves Guedes; Angelo Giuseppe Roncalli da Costa Oliveira
    License

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

    Area covered
    Northeast Region, Brazil
    Description

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

  6. f

    Data from: The Convergence betwixt Infant Mortality Rate and Human...

    • scielo.figshare.com
    jpeg
    Updated Jun 5, 2023
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    Paulo Cezar Rodrigues Martins; Elenir Rose Jardim Cury Pontes; Leandro Tsuneki Higa (2023). The Convergence betwixt Infant Mortality Rate and Human Development Index in Brazil between 2000 to 2010 [Dataset]. http://doi.org/10.6084/m9.figshare.6083597.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELO journals
    Authors
    Paulo Cezar Rodrigues Martins; Elenir Rose Jardim Cury Pontes; Leandro Tsuneki Higa
    License

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

    Description

    Abstract: This study has as objective to verify the convergence betwixt Infant Mortality Rate decreasement and Human Development Index Municipal increasement in Big Regions and Federation Units in Brazil between 2000 to 2010. The type of study adopted is ecological. It is drawn to a conclusion that the Infant Mortality Rate's reduction and the Human Development Index Municipal's increase, happened in a non-homogeneous form in the areas of study.

  7. Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A.

    • ceicdata.com
    Updated Jun 15, 2022
    + more versions
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    CEICdata.com (2022). Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/insurance-premium-automotive-by-company/insurance-premium-automotive-by-company-hdi-seguros-sa
    Explore at:
    Dataset updated
    Jun 15, 2022
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Brazil
    Description

    Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data was reported at 327,317,100.000 BRL in Feb 2025. This records a decrease from the previous number of 343,574,330.000 BRL for Jan 2025. Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging 151,731,114.500 BRL from Sep 2000 (Median) to Feb 2025, with 294 observations. The data reached an all-time high of 427,527,407.000 BRL in Jul 2024 and a record low of 7,407,002.000 BRL in Sep 2000. Brazil Insurance Premium: Automotive: by Company: Hdi Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

  8. B

    Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A.

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/insurance-premium-automotive-by-company/insurance-premium-automotive-by-company-hdi-global-seguros-sa
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    Brazil
    Description

    Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data was reported at -746.000 BRL in Nov 2024. This records a decrease from the previous number of -186.000 BRL for Oct 2024. Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data is updated monthly, averaging 1,446.000 BRL from Nov 2019 (Median) to Nov 2024, with 61 observations. The data reached an all-time high of 174,295.000 BRL in Sep 2022 and a record low of -20,135.000 BRL in Oct 2022. Brazil Insurance Premium: Automotive: by Company: Hdi Global Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

  9. Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/direct-premium-automotive-by-company/insurance-direct-premium-automotive-by-company-hdi-global-seguros-sa
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2021 - Jun 1, 2023
    Area covered
    Brazil
    Description

    Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data was reported at 2,641.000 BRL in Jun 2023. This records an increase from the previous number of 381.000 BRL for Dec 2022. Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data is updated monthly, averaging 13,411.000 BRL from Nov 2019 (Median) to Jun 2023, with 37 observations. The data reached an all-time high of 170,031.000 BRL in Nov 2019 and a record low of -11,973.000 BRL in Aug 2020. Brazil Insurance: Direct Premium: Automotive: by Company: Hdi Global Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB002: Direct Premium: Automotive: by Company.

  10. f

    Database of the study.

    • figshare.com
    txt
    Updated Jun 1, 2023
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    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay (2023). Database of the study. [Dataset]. http://doi.org/10.1371/journal.pone.0213785.s001
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay
    License

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

    Description

    PENSE_AMOSTRA2.csv. (CSV)

  11. COVID-19 and IDH

    • kaggle.com
    Updated Apr 14, 2020
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    GiselleFalcao (2020). COVID-19 and IDH [Dataset]. https://www.kaggle.com/gisellefalcao/covid19-and-idh/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 14, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    GiselleFalcao
    Description

    Context

    It seeks to identify the influence of the human development index and the fatality rate of COVID-19.

    Content

    This dataframe contains the countries, number of cases and deaths until April 14, 2020. And the HDI - 2014 of the countries.

    tx is rate of fatality (death/cases)

    Acknowledgements

    https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200413-sitrep-84-covid-19.pdf?sfvrsn=44f511ab_2 https://www.br.undp.org/content/brazil/pt/home/idh0/rankings/idh-global.html

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  12. f

    Independent variables according to the level of analysis.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas (2023). Independent variables according to the level of analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0145149.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas
    License

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

    Description

    Independent variables according to the level of analysis.

  13. B

    Brasil Desenvolvimento humano - dados, gráfico | TheGlobalEconomy.com

    • pt.theglobaleconomy.com
    csv, excel, xml
    Updated Jun 25, 2017
    + more versions
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    Globalen LLC (2017). Brasil Desenvolvimento humano - dados, gráfico | TheGlobalEconomy.com [Dataset]. pt.theglobaleconomy.com/Brazil/human_development/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jun 25, 2017
    Dataset authored and provided by
    Globalen LLC
    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, 1980 - Dec 31, 2023
    Area covered
    Brazil
    Description

    Brasil: Índice de Desenvolvimento Humano (0 - 1): Para este indicador, fornecemos dados para Brasil de 1980 a 2023. O valor médio por Brasil durante este período foi 0.702 points com o mínimo de 0.545 points em 1980 e o máximo de 0.786 points em 2023. Os dados mais recentes de 2023 são 0.786 points. Para efeito de comparação, a média mundial em 2023 com base em 185 países é 0.744 points.

  14. B

    Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros de...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. [Dataset]. https://www.ceicdata.com/en/brazil/premium-earned-automotive-by-company/insurance-premium-earned-automotive-by-company-hdi-seguros-de-automveis-e-bens-sa
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Nov 1, 2005 - Mar 1, 2006
    Area covered
    Brazil
    Description

    Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data was reported at 26,520,296.000 BRL in Mar 2006. This records an increase from the previous number of 25,096,305.000 BRL for Feb 2006. Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data is updated monthly, averaging 26,520,296.000 BRL from Nov 2005 (Median) to Mar 2006, with 5 observations. The data reached an all-time high of 28,125,969.000 BRL in Dec 2005 and a record low of 25,096,305.000 BRL in Feb 2006. Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB006: Premium Earned: Automotive: by Company.

  15. f

    Rotated component matrix for the variables included in the factor analysis...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas (2023). Rotated component matrix for the variables included in the factor analysis for census sector. [Dataset]. http://doi.org/10.1371/journal.pone.0145149.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas
    License

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

    Description

    Rotated component matrix for the variables included in the factor analysis for census sector.

  16. BraCID: Brazilian Cultural Identity Information Through Reading Preferences

    • zenodo.org
    • data.niaid.nih.gov
    csv, zip
    Updated Jun 4, 2021
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    Mariana O. Silva; Mariana O. Silva; Clarisse Scofield; Gabriel P. Oliveira; Gabriel P. Oliveira; Danilo B. Seufitelli; Danilo B. Seufitelli; Mirella M. Moro; Mirella M. Moro; Clarisse Scofield (2021). BraCID: Brazilian Cultural Identity Information Through Reading Preferences [Dataset]. http://doi.org/10.5281/zenodo.4890048
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 4, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Mariana O. Silva; Mariana O. Silva; Clarisse Scofield; Gabriel P. Oliveira; Gabriel P. Oliveira; Danilo B. Seufitelli; Danilo B. Seufitelli; Mirella M. Moro; Mirella M. Moro; Clarisse Scofield
    License

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

    Area covered
    Brazil
    Description

    In Brazil, each region has its own cultural identity regarding accent, gastronomy, traditions, all of which may reflect its literature. Specially, we believe that country's background and contextual features are directly related to what people read. Hence, we present an enhanced dataset that comprises cultural, geographic, and socioeconomic information to explore Brazilian cultural identity through reading preference.

    As our main data source, we chose the Goodreads website due to the sheer volume of data available and its organized and easily accessible API. We collect data from Brazilian readers through the goodreads library, which provides a Python interface to the Goodreads API. Specifically, we collect members of two of the largest Brazilian reading groups: the "Clube de Leitores em Português" (4,229 members) and the "Goodreads Brasil" (3,222 members). For all members of both groups, we also collect data from their friends. Then, we filter only those containing Brazil as location information from the final users' set. Finally, with the same library, we gather users' bookshelves to assess their reading preferences.

    To investigate the Brazilian reading identity, we consider a medley of demographic and socioeconomic data from the Brazilian Institute of Geography and Statistics (IBGE): including territorial area, population estimate, demographic density, Human Development Index (HDI), Gross Domestic Product (GDP), and monthly household income per capita. All indicators refer to the year 2020, except the HDI that refers to the year 2017. The data collection was carried out from February 23 to March 04, 2021.

    Our final dataset, named as BraCID, comprises:

    • 38,231 Brazilian Goodreads users
    • 75,093 Distinct books
    • 80 Literary genres
    • 6 IBGE indicators regarding the 27 federative units of Brazil
  17. f

    Association between participation frequency in physical education classes...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay (2023). Association between participation frequency in physical education classes and indicators of physical activity and sitting time according to sex and income level of the Brazilian regions (n = 12,220). [Dataset]. http://doi.org/10.1371/journal.pone.0213785.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay
    License

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

    Description

    Association between participation frequency in physical education classes and indicators of physical activity and sitting time according to sex and income level of the Brazilian regions (n = 12,220).

  18. B

    Brazil Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis...

    • ceicdata.com
    Updated Apr 25, 2023
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    CEICdata.com (2023). Brazil Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. [Dataset]. https://www.ceicdata.com/en/brazil/insurance-premium-automotive-by-company
    Explore at:
    Dataset updated
    Apr 25, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Oct 1, 2005 - Mar 1, 2006
    Area covered
    Brazil
    Description

    Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data was reported at 7,946,167.000 BRL in Mar 2006. This records a decrease from the previous number of 13,080,131.000 BRL for Feb 2006. Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data is updated monthly, averaging 24,663,107.000 BRL from Oct 2005 (Median) to Mar 2006, with 6 observations. The data reached an all-time high of 160,723,256.000 BRL in Oct 2005 and a record low of 7,946,167.000 BRL in Mar 2006. Insurance Premium: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGB004: Insurance Premium: Automotive: by Company.

  19. Descriptive characteristics of the sample (n = 12,220).

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay (2023). Descriptive characteristics of the sample (n = 12,220). [Dataset]. http://doi.org/10.1371/journal.pone.0213785.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Diego Augusto Santos Silva; Jean-Philippe Chaput; Mark S. Tremblay
    License

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

    Description

    Descriptive characteristics of the sample (n = 12,220).

  20. B

    Brazil Insurance: Commercial Expense: Automotive: by Company: Hdi Seguros...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance: Commercial Expense: Automotive: by Company: Hdi Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/commercial-expenses-automotive-by-company/insurance-commercial-expense-automotive-by-company-hdi-seguros-sa
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Brazil
    Description

    Brazil Insurance: Commercial Expense: Automotive: by Company: Hdi Seguros S.A. data was reported at 64,584,693.000 BRL in Feb 2025. This records a decrease from the previous number of 71,497,252.000 BRL for Jan 2025. Brazil Insurance: Commercial Expense: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging 25,403,326.500 BRL from Sep 2000 (Median) to Feb 2025, with 294 observations. The data reached an all-time high of 71,497,252.000 BRL in Jan 2025 and a record low of 663,412.000 BRL in Sep 2000. Brazil Insurance: Commercial Expense: Automotive: by Company: Hdi Seguros S.A. data remains active status in CEIC and is reported by Superintendence of Private Insurance. The data is categorized under Brazil Premium Database’s Insurance Sector – Table BR.RGC002: Commercial Expenses: Automotive: by Company.

Share
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Click to copy link
Link copied
Close
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Globalen LLC (2015). Brazil Human development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Brazil/human_development/

Brazil Human development - data, chart | TheGlobalEconomy.com

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xml, csv, excelAvailable download formats
Dataset updated
Jan 19, 2015
Dataset authored and provided by
Globalen LLC
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, 1980 - Dec 31, 2023
Area covered
Brazil
Description

Brazil: Human Development Index (0 - 1): The latest value from 2023 is 0.786 points, an increase from 0.76 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Brazil from 1980 to 2023 is 0.702 points. The minimum value, 0.545 points, was reached in 1980 while the maximum of 0.786 points was recorded in 2023.

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