23 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. 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.

  3. 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?

  4. 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.

  5. 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.

  6. 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.

  7. 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
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    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?

  8. B

    Brazil Multidimensional Poverty Headcount Ratio: UNDP: % of total population...

    • ceicdata.com
    Updated Mar 12, 2018
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    CEICdata.com (2018). Brazil Multidimensional Poverty Headcount Ratio: UNDP: % of total population [Dataset]. https://www.ceicdata.com/en/brazil/social-poverty-and-inequality
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    Dataset updated
    Mar 12, 2018
    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, 2015
    Area covered
    Brazil
    Description

    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/);;

  9. B

    Brésil Human development - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Mar 24, 2023
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    Globalen LLC (2023). Brésil Human development - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/Brazil/human_development/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Mar 24, 2023
    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
    Brésil
    Description

    Brésil: Human Development Index (0 - 1): Pour cet indicateur, The United Nations fournit des données pour la Brésil de 1980 à 2023. La valeur moyenne pour Brésil pendant cette période était de 0.702 points avec un minimum de 0.545 points en 1980 et un maximum de 0.786 points en 2023.

  10. f

    Data_Sheet_1_Social Vulnerability and Human Development of Brazilian Coastal...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
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    Rodrigo Luis Comini Curi; Maria A. Gasalla (2023). Data_Sheet_1_Social Vulnerability and Human Development of Brazilian Coastal Populations.docx [Dataset]. http://doi.org/10.3389/fevo.2021.664272.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Rodrigo Luis Comini Curi; Maria A. Gasalla
    License

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

    Area covered
    Brazil
    Description

    There is a considerable gap linking human dimensions and marine ecosystem services with Sustainable Development Goals, and one of these issues relate to differing perspectives and ideas around concepts of human development. There is also a lack of contemporary evaluations of coastal communities from developing nations under the lens of wellbeing and social vulnerability indexes. This study contributes to that discussion by presenting an analysis of Brazilian coastal municipalities, based on two indexes: The Social Vulnerability Index (SVI) and the Municipal Human Development Index (MHDI). These indicators intend to map some aspects of social well-being and development in the Brazilian territory under different perspectives. MHDI illustrates the average population conditions in a certain territory for humans to thrive, while the SVI points more specifically to the lack of assets necessary for wellbeing in a territory. The main aims are to map inequalities between coastal municipalities based on these two indexes and to provide a critical view reinforcing the importance of also considering natural capital as a key issue for wellbeing. Both indexes were developed with data from the Brazilian Institute of Geography and Statistics Census of 2010, the most recent one available for municipalities. Overall, 65.9 and 78% of a total of 387 Brazilian coastal municipalities assessed were ranked below SVI and MHDI country average values, respectively. Both indexes indicated higher human development conditions in Southern municipalities than in Northern ones, especially for income and education conditions, also showing large heterogeneity of discrepancies among and within regions. The importance of combined approaches for local socioeconomic wellbeing improvements, as measured by the MHDI and the SVI, and natural capital optimization seems essential for improvements in coastal communities’ quality-of-life conditions.

  11. f

    Data from: Clinical and epidemiological profile of tuberculosis in an urban...

    • 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
    Explore at:
    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.

  12. C

    INUAS-BR: Indicators to evaluate the National Urban Agenda's impact on...

    • dataverse.csuc.cat
    Updated Jun 25, 2025
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    Ana Beatriz Pierri Daunt; Ana Beatriz Pierri Daunt; Darío Domingo; Darío Domingo; 何 志超; 何 志超; Anna M Hersperger; Anna M Hersperger (2025). INUAS-BR: Indicators to evaluate the National Urban Agenda's impact on sustainable urban growth in Brazil [Dataset]. http://doi.org/10.34810/data2200
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    tsv(16135), application/zipped-shapefile(2140492), txt(11186), application/zipped-shapefile(5410), pdf(116719)Available download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    CORA.Repositori de Dades de Recerca
    Authors
    Ana Beatriz Pierri Daunt; Ana Beatriz Pierri Daunt; Darío Domingo; Darío Domingo; 何 志超; 何 志超; Anna M Hersperger; Anna M Hersperger
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Brazil, all, State Capitals
    Dataset funded by
    Swiss National Science Foundation
    Description

    This dataset contains a multi-dimensional set of indicators considering socio-economic and land change factors (Table 1, metadata). Our indicators span 27 Brazilian state capitals from 1990 to 2020. We acquired variables from different sources to illustrate the land change and socio-economic transformation in two periods of analysis for all studied cities (1990-2000 and 2000-2020). The indicators are: Human development index, Gini index, gross domestic product (GDP), population density, % of basic services provision (sewage, electricity, water provision and garbage collection), Housing units, Inhabitants per housing units, total urban land area, percentage of new urban land classified as infilling, edge-expansion and outlining, urban density, urbanisation speed or annual growth rate (AUEII), Urban compactness, agricultural land use, pasture land use, mosaic land use, Shannon Index. The indicators can be used to evaluate other policies aimed at developing more sustainable and just cities.

  13. f

    Additional file 5 of The influence of the municipal human development index...

    • springernature.figshare.com
    • figshare.com
    txt
    Updated May 31, 2023
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    Carolina Ribeiro Anele; Vânia Naomi Hirakata; Marcelo Zubaran Goldani; Clécio Homrich da Silva (2023). Additional file 5 of The influence of the municipal human development index and maternal education on infant mortality: an investigation in a retrospective cohort study in the extreme south of Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.13632731.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Carolina Ribeiro Anele; Vânia Naomi Hirakata; Marcelo Zubaran Goldani; Clécio Homrich da Silva
    License

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

    Area covered
    South Region, Brazil
    Description

    Additional file 5. Title of data: Study dataset. Dataset generated by the similarity of the two databases related to the current study.

  14. 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
  15. Gini coefficient income distribution inequality in Latin America 2023, by...

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). Gini coefficient income distribution inequality in Latin America 2023, by country [Dataset]. https://www.statista.com/statistics/980285/income-distribution-gini-coefficient-latin-america-caribbean-country/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, LAC
    Description

    Based on the degree of inequality in income distribution measured by the Gini coefficient, Colombia was the most unequal country in Latin America as of 2022. Colombia's Gini coefficient amounted to 54.8. The Dominican Republic recorded the lowest Gini coefficient at 37, even below Uruguay and Chile, which are some of the countries with the highest human development indexes in Latin America. The Gini coefficient explained The Gini coefficient measures the deviation of the distribution of income among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality. This measurement reflects the degree of wealth inequality at a certain moment in time, though it may fail to capture how average levels of income improve or worsen over time. What affects the Gini coefficient in Latin America? Latin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 37 and 55 points according to the latest available data from the reporting period 2010-2023. According to the Human Development Report, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.

  16. f

    Data from: Factors associated with COVID-19 mortality in municipalities in...

    • figshare.com
    xls
    Updated May 30, 2023
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    Rafaela Caroline de Souza; Ettore Rafael Mai Almeida; Carlos Magno Castelo Branco Fortaleza; Hélio Amante Miot (2023). Factors associated with COVID-19 mortality in municipalities in the state of São Paulo (Brazil): an ecological study [Dataset]. http://doi.org/10.6084/m9.figshare.19940792.v1
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rafaela Caroline de Souza; Ettore Rafael Mai Almeida; Carlos Magno Castelo Branco Fortaleza; Hélio Amante Miot
    License

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

    Area covered
    State of São Paulo, Brazil
    Description

    ABSTRACT Background: The mortality rate of coronavirus disease (COVID-19) in the state of São Paulo is highly heterogeneous. This study investigated geographic, economic, social, and health-related factors associated with this discrepancy. Methods: An ecological study compared COVID-19 mortality rates according to geographic, economic, social, and health-related variables during initial infection of 2.5% of the population in municipalities with more than 30,000 inhabitants. Results: Mortality was positively associated with demographic density and social inequality (Gini index), and inversely associated with HDI income and longevity of these municipalities, accounting for 33.2% of the variation in mortality. Conclusions: Social determinants influenced COVID-19 outcomes.

  17. Employment by economic sector in Brazil 2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 18, 2025
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    Aaron O'Neill (2025). Employment by economic sector in Brazil 2022 [Dataset]. https://www.statista.com/topics/1537/brazil/
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Aaron O'Neill
    Area covered
    Brazil
    Description

    The statistic shows the distribution of employment in Brazil by economic sector from 2012 to 2022. In 2022, 8.73 percent of the employees in Brazil were active in the agricultural sector, 20.49 percent in industry and 70.78 percent in the service sector.

  18. f

    Data from: Geographical distribution of zebu breeds and their relationship...

    • scielo.figshare.com
    tiff
    Updated Jun 7, 2023
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    Paulo Ricardo Martins Lima; Vanessa Peripolli; Luiz Antônio Josahkian; Concepta Margaret McManus (2023). Geographical distribution of zebu breeds and their relationship with environmental variables and the human development index [Dataset]. http://doi.org/10.6084/m9.figshare.21310309.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    SciELO journals
    Authors
    Paulo Ricardo Martins Lima; Vanessa Peripolli; Luiz Antônio Josahkian; Concepta Margaret McManus
    License

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

    Description

    ABSTRACT The environment is vital to the agricultural sector since it can cause adversities throughout the entire productive chain. This study evaluated the geographical distribution of zebu breeds in Brazil and correlated their occurrence with environmental variables and the human development index. Herds of purebred zebu cattle (Bos indicus) in Brazil were classified as beef, dairy, and dual-purpose breeds, and all breeds were spatialized in the ArcGIS program. Environmental (precipitation, temperature, relative humidity index) and the human development index (HDI) were examined. We conducted regression and logistic analyses. Zebu cattle showed a lower distribution in the Northeastern states compared to other locations, possibly due to harsh weather conditions, namely long periods of high temperatures and lower precipitation, directly affecting local livestock. Beef breeds were evenly spread throughout the country in regions influenced by environmental variables of higher precipitation, normalized difference vegetation index (NDVI), temperature, relative humidity (RH), and temperature humidity index (THI), as well as properties without smallholder farmers and rivers and streams with riparian vegetation. The regions for dual-purpose and dairy breeds were predominantly cultivated with cutting forages (e.g., sugarcane - Saccharum officinarum), with the integration of crops, livestock and/or forestry (i.e., combining different activities in the same area) and areas with a rotational grazing system (i.e., grazing management), indicating a higher occupation in fertile lands. The Gir breed, the only dairy breed evaluated in this study, was seen in establishments with smallholder farmers, characterized by small to medium farms, and in regions at higher altitudes.

  19. w

    Trends and Socioeconomic Gradients in Adult Mortality Around the Developing...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Apr 26, 2021
    + more versions
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    Damien de Walque and Deon Filmer (2021). Trends and Socioeconomic Gradients in Adult Mortality Around the Developing World 1991-2009 - Benin, Burkina Faso, Bolivia, Brazil, Cameroon, Congo, Dem. Rep., Dominican Republic, Ethiopia, Gabon, Guinea, Guatemala, Haiti, Indonesia, Jorda... [Dataset]. https://microdata.worldbank.org/index.php/catalog/727
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    Dataset updated
    Apr 26, 2021
    Dataset authored and provided by
    Damien de Walque and Deon Filmer
    Time period covered
    1991 - 2009
    Area covered
    Ethiopia, Burkina Faso, Democratic Republic of the Congo, Cameroon, Benin, Gabon, Bolivia, Dominican Republic, Haiti, Guinea
    Description

    Abstract

    The authors combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15-49.

    The analysis yields four main findings. First, adult mortality is different from child mortality: while under-5 mortality shows a definite improving trend over time, adult mortality does not, especially in Sub-Saharan Africa. The second main finding is the increase in adult mortality in Sub-Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV-prevalence countries of southern Africa exceed those in countries that experienced episodes of civil war. Third, even in Sub-Saharan countries where HIV-prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main socioeconomic dimension along which mortality appears to differ in the aggregate is gender. Adult mortality rates in Sub-Saharan Africa have risen substantially higher for men than for women?especially so in the high HIV-prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.

    This paper is a product of the Human Development and Public Services Team, Development Research Group. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://econ.worldbank.org.

    Geographic coverage

    We derive estimates of adult mortality from an analysis of Demographic and Health Survey (DHS) data from 46 countries, 33 of which are from Sub-Saharan Africa and 13 of which are from countries in other regions (Annex Table). Several of the countries have been surveyed more than once and we base our estimates on the total of 84 surveys that have been carried out (59 in Sub-Saharan Africa, 25 elsewhere).

    The countries covered by DHS in Sub-Saharan Africa represent almost 90 percent of the region's population. Outside of Sub-Saharan Africa the DHS surveys we use cover a far smaller share of the population-even if this is restricted to countries whose GDP per capita never exceeds $10,000: overall about 14 percent of the population is covered by these countries, although this increases to 29 percent if China and India are excluded (countries for which we cannot calculate adult mortality using the DHS). It is therefore important to keep in mind that the sample of non-Sub-Saharan African countries we have cannot be thought of as "representative" of the rest of the world, or even the rest of the developing world.

    Analysis unit

    Country

    Kind of data

    Sample survey data [ssd]

    Mode of data collection

    Face-to-face [f2f]

    Cleaning operations

    In the course of carrying out this study, the authors created two databases of adult mortality estimates based on the original DHS datasets, both of which are publicly available for analysts who wish to carry out their own analysis of the data.

    The naming conventions for the adult mortality-related are as follows. Variables are named:

    GGG_MC_AAAA

    GGG refers to the population subgroup. The values it can take, and the corresponding definitions are in the following table:

    All - All Fem - Female Mal - Male Rur - Rural Urb - Urban Rurm - Rural/Male Urbm - Urban/Male Rurf - Rural/Female Urbf - Urban/Female Noed - No education Pri - Some or completed primary only Sec - At least some secondary education Noedm - No education/Male Prim - Some or completed primary only/Male Secm - At least some secondary education/Male Noedf - No education/Female Prif - Some or completed primary only/Female Secf - At least some secondary education/Female Rch - Rural as child Uch - Urban as child Rchm - Rural as child/Male Uchm - Urban as child/Male Rchf - Rural as child/Female Uchf - Urban as child/Female Edltp - Less than primary schooling Edpom - Primary or more schooling Edltpm - Less than primary schooling/Male Edpomm - Primary or more schooling/Male Edltpf - Less than primary schooling/Female Edpomf - Primary or more schooling/Female Edltpu - Less than primary schooling/Urban Edpomu - Primary or more schooling/Urban Edltpr - Less than primary schooling/Rural Edpomr - Primary or more schooling/Rural Edltpmu - Less than primary schooling/Male/Urban Edpommu - Primary or more schooling/Male/Urban Edltpmr - Less than primary schooling/Male/Rural Edpommr - Primary or more schooling/Male/Rural Edltpfu - Less than primary schooling/Female/Urban Edpomfu - Primary or more schooling/Female/Urban Edltpfr - Less than primary schooling/Female/Rural Edpomfr - Primary or more schooling/Female/Rural

    M refers to whether the variable is the number of observations used to calculate the estimate (in which case M takes on the value "n") or whether it is a mortality estimate (in which case M takes on the value "m").

    C refers to whether the variable is for the unadjusted mortality rate calculation (in which case C takes on the value "u") or whether it adjusts for the number of surviving female siblings (in which case C takes on the value "a").

    AAAA refers to the age group that the mortality estimate is calculated for. It takes on the values: 1554 - Ages 15-54 1524 - Ages 15-24 2534 - Ages 25-34 3544 - Ages 35-44 4554 - Ages 45-54

    Other variables that are in the databases are:

    period - Period for which mortality rate is calculated (takes on the values 1975-79, 1980-84 … 2000-04) svycountry - Name of country for DHS countries ccode3 - Country code u5mr - Under-5 mortality (from World Development Indicators) cname - Country name gdppc - GDP per capita (constant 2000 US$) (from World Development Indicators) gdppcppp - GDP per capita PPP (constant 2005 intl $) (from World Development Indicators) pop - Population (from World Development Indicators) hivprev2001 - HIV prevalence in 2001 (from UNAIDS 2010) region - Region

  20. Correlation of Cervical Cancer Mortality with Fertility, Access to Health...

    • scielo.figshare.com
    xls
    Updated Jun 3, 2023
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    Diama Bhadra Vale; Catherine Sauvaget; Raul Murillo; Richard Muwonge; Luiz Carlos Zeferino; Rengaswamy Sankaranarayanan (2023). Correlation of Cervical Cancer Mortality with Fertility, Access to Health Care and Socioeconomic Indicators [Dataset]. http://doi.org/10.6084/m9.figshare.8324624.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Diama Bhadra Vale; Catherine Sauvaget; Raul Murillo; Richard Muwonge; Luiz Carlos Zeferino; Rengaswamy Sankaranarayanan
    License

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

    Description

    Abstract Objective The present study aimed to examine which development indicators are correlated with cervical cancer (CC) mortality rates in Brazil. Methods This was an ecological study that correlatedmortality rates and indicators, such as human development index (HDI), gross domestic product (GDP) per capita, illiteracy rate, fertility rate, screening coverage, proportion of private health insurance use, density of physicians, and density of radiotherapy centers. Themortality rateswere obtained fromthe Brazilian national registry, while the indicators were based on official reports from the Ministry of Health. Univariate and multivariate linear regression was used. Results Among the states of Brazil, the average age-specific CC mortality rate from 2008 to 2012 varied from 4.6 to 22.9 per 100,000 women/year. In the univariate analysis, HDI, proportion of private health insurance use, density of physicians, and density of radiotherapy centers were inversely correlated with the mortality rates. Fertility rate was positively correlated with the mortality rates. In the multivariate analysis, only fertility rate was significantly associated with the CC mortality rate (coefficient of correlation: 9.38; 95% confidence interval [CI]: 5.16-13.59). Conclusion A decrease in the fertility rate, as expected when the level of development of the regions increases, is related to a decrease in the mortality rate of CC. The results of the present study can help to better monitor the quality assessment of CC programs both among and within countries.

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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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