41 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/
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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.

  2. 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
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    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.

  3. 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.

  4. B

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

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/premium-earned-automotive-by-company/insurance-premium-earned-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 Premium Earned: Automotive: by Company: Hdi Seguros S.A. data was reported at 336,795,759.000 BRL in Feb 2025. This records a decrease from the previous number of 370,252,169.000 BRL for Jan 2025. Brazil Insurance Premium Earned: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging 136,658,195.500 BRL from Sep 2000 (Median) to Feb 2025, with 294 observations. The data reached an all-time high of 370,252,169.000 BRL in Jan 2025 and a record low of 3,729,219.000 BRL in Sep 2000. Brazil Insurance Premium Earned: 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.RGB006: Premium Earned: Automotive: by Company.

  5. 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
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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
    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.

  6. 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.

  7. 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
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    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.

  8. 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
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    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).

  9. 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/
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    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.

  10. 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.

  11. 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
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    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).

  12. 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
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    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
  13. Brazil Insurance: Loss Ratio: Automotive: by Company: Hdi Seguros de...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance: Loss Ratio: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. [Dataset]. https://www.ceicdata.com/en/brazil/insurance-loss-ratio-automotive-by-company/insurance-loss-ratio-automotive-by-company-hdi-seguros-de-automveis-e-bens-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
    Nov 1, 2005 - Mar 1, 2006
    Area covered
    Brazil
    Description

    Brazil Insurance: Loss Ratio: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data was reported at 0.840 % in Mar 2006. This records an increase from the previous number of 0.740 % for Feb 2006. Brazil Insurance: Loss Ratio: Automotive: by Company: Hdi Seguros de Automóveis e Bens S.A. data is updated monthly, averaging 0.790 % from Nov 2005 (Median) to Mar 2006, with 5 observations. The data reached an all-time high of 0.840 % in Mar 2006 and a record low of 0.700 % in Dec 2005. Brazil Insurance: Loss Ratio: 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.RGD002: Insurance Loss Ratio: Automotive: by Company.

  14. f

    Fixed and random effects parameters in the multilevel mixed-effect Poisson...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas (2023). Fixed and random effects parameters in the multilevel mixed-effect Poisson regression analysis for the null model according to outcome. [Dataset]. http://doi.org/10.1371/journal.pone.0145149.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 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

    Fixed and random effects parameters in the multilevel mixed-effect Poisson regression analysis for the null model according to outcome.

  15. f

    Independent variables according to the level of analysis.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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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.

  16. Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi...

    • ceicdata.com
    Updated Jul 10, 2024
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    CEICdata.com (2024). Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/premium-current-risk-not-issued-automotive-by-company
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    Dataset updated
    Jul 10, 2024
    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

    Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. data was reported at -152,768.920 BRL in Feb 2025. This records a decrease from the previous number of 25,574.390 BRL for Jan 2025. Insurance: Current Risk not Issued: Automotive: by Company: Hdi Seguros S.A. data is updated monthly, averaging -88,392.820 BRL from Dec 2013 (Median) to Feb 2025, with 135 observations. The data reached an all-time high of 18,177,151.030 BRL in Sep 2015 and a record low of -15,716,862.170 BRL in Jan 2018. Insurance: Current Risk not Issued: 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.RGB012: Premium: Current Risk not Issued: Automotive: by Company.

  17. f

    Data from: Dimensions of human development: the case of Ribeirão Preto...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    André Cavalcante da Silva Batalhão; Gláucia Aparecida Prates; Denílson Teixeira; Emiliano Lobo de Godoi (2023). Dimensions of human development: the case of Ribeirão Preto region, SP [Dataset]. http://doi.org/10.6084/m9.figshare.6083447.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    André Cavalcante da Silva Batalhão; Gláucia Aparecida Prates; Denílson Teixeira; Emiliano Lobo de Godoi
    License

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

    Area covered
    Ribeirao Preto
    Description

    Abstract: The aim of research was to analyze the level of human development of the 25 municipalities in the Administrative Region of Ribeirão Preto, São Paulo's State, Brazil, using Municipal Human Development Index, and to inform weaknesses and potentialities of the tool. The methodology has exploratory and descriptive characteristics, based on secondary data. The municipality of Serra Azul presented most of the critical indicators that compose the index.

  18. f

    Bivariate associations between outcome and the independent variables...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Rafaela da Silveira Pinto; Angelo Giuseppe Roncalli; Mauro Henrique Nogueira Guimarães Abreu; Andréa Maria Duarte Vargas (2023). Bivariate associations between outcome and the independent variables according to the levels. [Dataset]. http://doi.org/10.1371/journal.pone.0145149.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 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

    Bivariate associations between outcome and the independent variables according to the levels.

  19. B

    Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi Global Seguros S.A. [Dataset]. https://www.ceicdata.com/en/brazil/premium-current-risk-not-issued-automotive-by-company/insurance-current-risk-not-issued-automotive-by-company-hdi-global-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
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    Brazil
    Description

    Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi Global Seguros S.A. data was reported at -745.710 BRL in Nov 2024. This records a decrease from the previous number of -186.430 BRL for Oct 2024. Brazil Insurance: Current Risk not Issued: Automotive: by Company: Hdi Global Seguros S.A. data is updated monthly, averaging -744.550 BRL from Jul 2021 (Median) to Nov 2024, with 41 observations. The data reached an all-time high of 25,226.540 BRL in Dec 2021 and a record low of -16,871.390 BRL in Oct 2022. Brazil Insurance: Current Risk not Issued: 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.RGB012: Premium: Current Risk not Issued: Automotive: by Company.

  20. f

    Clinical and epidemiological profile of tuberculosis in an urban area with...

    • scielo.figshare.com
    png
    Updated May 31, 2023
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    Rodolpho Telarolli Junior; Leonor Castro Monteiro Loffredo; Rosangela Maria Gasparetto (2023). Clinical and epidemiological profile of tuberculosis in an urban area with high human development index in southeastern Brazil. Time series study [Dataset]. http://doi.org/10.6084/m9.figshare.5667454.v1
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    pngAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rodolpho Telarolli Junior; Leonor Castro Monteiro Loffredo; Rosangela Maria Gasparetto
    License

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

    Area covered
    Brazil
    Description

    ABSTRACT CONTEXT AND OBJECTIVE: In the twenty-first century, tuberculosis remains a serious public health problem in Brazil. The aim here was to characterize tuberculosis in a municipality with a high human development index (HDI), based on clinical and epidemiological variables. DESIGN AND SETTING: Epidemiological study with analysis of incidence that included 533 new cases of tuberculosis in the municipality of Araraquara, São Paulo, reported to the Brazilian Notifiable Diseases Information System (SINAN) between 2002 and 2011. METHODS: To identify trends, this period was divided into two five-year periods (2002-2006 and 2007-2011). The incidence rates were compared using ratios and confidence intervals. RESULTS: The incidence of tuberculosis was 26.82 cases per 100,000 inhabitants, and decreased by 22% between the two periods, which was statistically significant. Cases were more prevalent among men (72.61%) and among adults between 30 and 59 years of age with non-specialized professions and low education levels. There was a statistically significant reduction in cases among individuals over 50. The age group with highest incidence was 50-59 years in the first period and 30-39 years in the second. Total recovery occurred in more than 70%. There was a reduction in the number of diagnoses made within primary care and an increase within public hospital care between the two periods. The most common coinfections were AIDS and hepatitis C. CONCLUSIONS: The incidence of tuberculosis in this municipality was lower than the national incidence, with a declining trend and a high cure rate, and the main coinfections were AIDS and hepatitis C.

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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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