52 datasets found
  1. Total fertility rate in children per woman in Brazil 1960-2023

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Total fertility rate in children per woman in Brazil 1960-2023 [Dataset]. https://www.statista.com/statistics/254317/fertility-rate-in-brazil/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, the total fertility rate in children per woman in Brazil amounted to 1.62. Between 1960 and 2023, the figure dropped by 4.43, though the decline followed an uneven course rather than a steady trajectory.

  2. Comparison of population in Brazil and the U.S. 1500-2050

    • statista.com
    Updated Jan 13, 2022
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    Statista (2022). Comparison of population in Brazil and the U.S. 1500-2050 [Dataset]. https://www.statista.com/statistics/1283654/brazil-us-population-comparison-historical/
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    Dataset updated
    Jan 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil, United States
    Description

    Brazil and the United States are the two most populous countries in the Americas today. In 1500, the year that Pedro Álvares Cabral made landfall in present-day Brazil and claimed it for the Portuguese crown, it is estimated that there were roughly one million people living in the region. Some estimates for the present-day United States give a population of two million in the year 1500, although estimates vary greatly. By 1820, the population of the U.S. was still roughly double that of Brazil, but rapid growth in the 19th century would see it grow 4.5 times larger by 1890, before the difference shrunk during the 20th century. In 2024, the U.S. has a population over 340 million people, making it the third most populous country in the world, while Brazil has a population of almost 218 million and is the sixth most populous. Looking to the future, population growth is expected to be lower in Brazil than in the U.S. in the coming decades, as Brazil's fertility rates are already lower, and migration rates into the United States will be much higher. Historical development The indigenous peoples of present-day Brazil and the U.S. were highly susceptible to diseases brought from the Old World; combined with mass displacement and violence, their population growth rates were generally low, therefore migration from Europe and the import of enslaved Africans drove population growth in both regions. In absolute numbers, more Europeans migrated to North America than Brazil, whereas more slaves were transported to Brazil than the U.S., but European migration to Brazil increased significantly in the early 1900s. The U.S. also underwent its demographic transition much earlier than in Brazil, therefore its peak period of population growth was almost a century earlier than Brazil. Impact of ethnicity The demographics of these countries are often compared, not only because of their size, location, and historical development, but also due to the role played by ethnicity. In the mid-1800s, these countries had the largest slave societies in the world, but a major difference between the two was the attitude towards interracial procreation. In Brazil, relationships between people of different ethnic groups were more common and less stigmatized than in the U.S., where anti-miscegenation laws prohibited interracial relationships in many states until the 1960s. Racial classification was also more rigid in the U.S., and those of mixed ethnicity were usually classified by their non-white background. In contrast, as Brazil has a higher degree of mixing between those of ethnic African, American, and European heritage, classification is less obvious, and factors such as physical appearance or societal background were often used to determine racial standing. For most of the 20th century, Brazil's government promoted the idea that race was a non-issue and that Brazil was racially harmonious, but most now acknowledge that this actually ignored inequality and hindered progress. Racial inequality has been a prevalent problem in both countries since their founding, and today, whites generally fare better in terms of education, income, political representation, and even life expectancy. Despite this adversity, significant progress has been made in recent decades, as public awareness of inequality has increased, and authorities in both countries have made steps to tackle disparities in areas such as education, housing, and employment.

  3. Summary statistics, live births in Brazilian state capitals and in Brazil...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Matias Mrejen; Danielle Carusi Machado (2023). Summary statistics, live births in Brazilian state capitals and in Brazil (October 2012 –December 2016). [Dataset]. http://doi.org/10.1371/journal.pone.0223673.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Matias Mrejen; Danielle Carusi Machado
    License

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

    Area covered
    Brazil
    Description

    Summary statistics, live births in Brazilian state capitals and in Brazil (October 2012 –December 2016).

  4. p

    Birth control centers Business Data for State of Minas Gerais, Brazil

    • poidata.io
    csv, json
    Updated Nov 4, 2025
    + more versions
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    Business Data Provider (2025). Birth control centers Business Data for State of Minas Gerais, Brazil [Dataset]. https://www.poidata.io/report/birth-control-center/brazil/state-of-minas-gerais
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    State of Minas Gerais
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1 verified Birth control center businesses in State of Minas Gerais, Brazil with complete contact information, ratings, reviews, and location data.

  5. f

    Data from: Expenditures on childbirth care: a comparison of the 2004 and...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    Domingues, Marlos R.; Wehrmeister, Fernando C.; Tejada, Cesar Augusto Oviedo; Bertoldi, Andréa Dâmaso; Santos, Iná S.; Matijasevich, Alícia; Bassani, Diego G.; Barros, Aluísio J. D.; Silveira, Mariângela Freitas; Guttier, Marília Cruz (2021). Expenditures on childbirth care: a comparison of the 2004 and 2015 birth cohorts in Pelotas, Rio Grande do Sul State, Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000893344
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    Dataset updated
    Mar 24, 2021
    Authors
    Domingues, Marlos R.; Wehrmeister, Fernando C.; Tejada, Cesar Augusto Oviedo; Bertoldi, Andréa Dâmaso; Santos, Iná S.; Matijasevich, Alícia; Bassani, Diego G.; Barros, Aluísio J. D.; Silveira, Mariângela Freitas; Guttier, Marília Cruz
    Area covered
    State of Rio Grande do Sul, Pelotas, Brazil
    Description

    Abstract: Although most childbirth care in Brazil is financed by the Brazilian Unified National Health System (SUS), there are out-of-pocket expenditures (private personal costs) involved in births. This study aims to compare maternal out-of-pocket expenditures in births of children from the Pelotas Birth Cohorts of 2004 and 2015. The study drew on information collected right after birth and at three months of age. The target variables include sociodemographic and economic data, private health plan coverage, and expenditures related to the birth. Values from 2004 were adjusted to 2015 by the general price index. There was an increase in private health plan coverage from 33.4% (95%CI: 31.9-34.9) to 45.1% (95%IC: 43.6-46.7) in the target period, directly associated with the families’ socioeconomic status (p < 0.001). There was an increase in mean expenditures on hospitalization for the birth, from BRL 60.38 (SD = 288.66) to BRL 171.15 (SD = 957.07), and in additional medical expenditures, from BRL 191.60 (SD = 612.86) to BRL 1,424.80 (SD = 4,459.16) among mothers admitted to hospital under their private health plans (and there was no significant difference in these expenditures for mothers that opted for direct payment). There was an important increase in expenditures for childbirth care, especially among mothers admitted to hospital under private health plans.

  6. p

    Fertility clinics Business Data for State of Rio Grande do Sul, Brazil

    • poidata.io
    csv, json
    Updated Nov 8, 2025
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    Business Data Provider (2025). Fertility clinics Business Data for State of Rio Grande do Sul, Brazil [Dataset]. https://www.poidata.io/report/fertility-clinic/brazil/state-of-rio-grande-do-sul
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    csv, jsonAvailable download formats
    Dataset updated
    Nov 8, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    South Region, State of Rio Grande do Sul
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 17 verified Fertility clinic businesses in State of Rio Grande do Sul, Brazil with complete contact information, ratings, reviews, and location data.

  7. Land Use, Agropastoral Production, Family Composition, and Household Economy...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 1, 2013
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    Moran, Emilio (2013). Land Use, Agropastoral Production, Family Composition, and Household Economy in Santarem, Para, Brazil, June-August 2003 [Dataset]. http://doi.org/10.3886/ICPSR34347.v1
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    spss, delimited, stata, sas, r, asciiAvailable download formats
    Dataset updated
    Apr 1, 2013
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Moran, Emilio
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34347/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34347/terms

    Area covered
    Global, Santarem, Brazil
    Description

    The 2003 Santarem dataset consists of 8 interconnected datasets and 1 linking file. The primary unit of analysis is the rural property or lot. Each lot in the sample contains a minimum of 1 household with a mean of 1.33 households per lot in the final sample. Within households, data were collected on subsets of individuals as well as additional properties used by the households in the study. These 2003 Santarem data come from interviews with farm families in an agricultural zone south of the city of Santarem in the Brazilian state of Para. Santarem is a relatively old settlement within the Brazilian Amazon that has experienced waves of regional settlement in the 1930s, mid-century, and the 1970s. The study region is adjacent to the confluence of the Amazon and Tapajos Rivers and the northern terminus of the BR-163 (the Cuiaba-Santarem Highway). BR-163 links intensive agropastoral production (particularly mechanized soybean farming) in the state of Mato Grosso to Santarem, where the multinational corporation Cargill runs a deepwater port (opened in 2003) for loading soybeans onto oceangoing ships. The opening of this port has accelerated the process of urbanization and led to a transformation from a landscape of small family farming to a landscape of mechanized agriculture (description adapted from VanWey, Leah K., and Kara B. Cebulko, 2007, Journal of Marriage and the Family 69: 1257-1270). The discourse on deforestation has focused on the alarming rates of deforestation in the Amazon Basin to the neglect of the dynamic and reciprocal influences between the human population and the environment. Deforestation is a process mediated by human intervention, from the act of clearing to how such a clearing is used and managed over time. It would be helpful to know whether observable rates of forest removal represent a stage in the developmental cycle of households or represents the simple and direct impact of increasing population in these environments. From the point of view of theory and method, it is necessary to develop new approaches that effectively link demographic process to the interactive relationship of population to specific aspects of an environmental matrix. This project addressed multiple scales, from household dynamics to landscape dynamics and has developed methods by which to scale between them. We hypothesize that as households occupy frontier areas past the first generation, they move from a strategy of managing their land under the constraints of available household labor to a strategy that gives greater recognition of the constraints posed by land quality and of the risks to their farm operation coming from external socioeconomic forces and biophysical constraints. In the first generation, the labor available to a household is determined by the size of the household making the initial trip to the frontier (primarily young couples is common in frontier regions) and later by the fertility of these initial migrants. As these initial migrants age and their children enter adulthood (thereby becoming the second generation), labor supply is determined by the reproductive and land use choices of these children. Given the precipitous decline in female fertility, other factors gain salience in the second generation: the suitability of the land for various uses, the availability of off-farm employment and educational opportunities (both locally and those requiring migration), and macroeconomic factors affecting the economic viability of farming. These decisions then directly determine the entries into and exits from the household. This study investigated five basic questions: (1) Does the changing availability of household labor over the household life cycle affect the trajectory of deforestation and land use change in the same way for later generations of Amazonian farmers as for first generation in-migrants? (2) What are the determinants of changing household labor supply? Specifically, what are the biophysical and socioeconomic determinants of entries into and exits from the household through fertility, migration, and marriage? (3) How are the decisions of households regarding land use and labor allocation constrained by soil quality, access to water supplies, interannual drought events (e.g. El Nino type events), and other resource scarcities? (4) Are there notable differences in land use choices made by la

  8. p

    Fertility clinics Business Data for State of Mato Grosso, Brazil

    • poidata.io
    csv, json
    Updated Dec 2, 2025
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    Business Data Provider (2025). Fertility clinics Business Data for State of Mato Grosso, Brazil [Dataset]. https://www.poidata.io/report/fertility-clinic/brazil/state-of-mato-grosso
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    csv, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    State of Mato Grosso
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 4 verified Fertility clinic businesses in State of Mato Grosso, Brazil with complete contact information, ratings, reviews, and location data.

  9. Prenatal follow-up of Haitian and Brazilian women in Mato Grosso

    • scielo.figshare.com
    xls
    Updated Jun 16, 2023
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    Delma Riane Rebouças Batista; Silvia Angela Gugelmin; Ana Paula Muraro (2023). Prenatal follow-up of Haitian and Brazilian women in Mato Grosso [Dataset]. http://doi.org/10.6084/m9.figshare.6857015.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Delma Riane Rebouças Batista; Silvia Angela Gugelmin; Ana Paula Muraro
    License

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

    Area covered
    Haiti, State of Mato Grosso, Brazil
    Description

    Abstract Objectives: to analyze the prenatal follow-up performed by pregnant women in Haiti and Brazil in the state of Mato Grosso. Methods: a cross-sectional study of secondary database, with analysis of SINASC birth records in Mato Grosso between 2013 and 2015, of Brazilian children, born from both Brazilian and Haitian mothers. Variables related to the identification of the newborn and the woman, maternal data on gestational history, including information on prenatal follow-up of the last gestation were evaluated, besides the birth characteristics. Results: 167,820 live births were registered in the state in the period, of which 139 (0.08%) were children of Haitian women. Haitian mothers were older, however with lower schooling when compared to Brazilian mothers. The proportion of mothers of Haitian nationality who had at least 6 prenatal consultations was lower, and the proportion of vaginal births was higher, when compared to Brazilian women. The prevalence of low birth weight among live births of Haitian mothers was also higher. Conclusions: the results of this study point to the need to understand these differences, since some indicators have distanced from those advocated by WHO. These findings may contribute to the public policies development aimed at this population.

  10. f

    Birth Weight of children living in shantytowns of Maceió, State of Alagoas,...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Nov 11, 2013
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    Silva, Ana Amelia Benedito; Sawaya, Ana Lydia; Sesso, Ricardo; de Alencar Britto, Revilane Parente; Cavalcante, Jairo Calado; Florêncio, Telma Maria Toledo (2013). Birth Weight of children living in shantytowns of Maceió, State of Alagoas, Brazil, stratified according to maternal stature quartiles. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001624016
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    Dataset updated
    Nov 11, 2013
    Authors
    Silva, Ana Amelia Benedito; Sawaya, Ana Lydia; Sesso, Ricardo; de Alencar Britto, Revilane Parente; Cavalcante, Jairo Calado; Florêncio, Telma Maria Toledo
    Area covered
    Maceió, State of Alagoas, Maceió, Brazil
    Description

    *p=0.002 compared with 1st quartile; #p=0.03 compared with 2nd quartile (n = 2226, Maceió, State of Alagoas, Brazil, 2009-2010).

  11. p

    Fertility physicians Business Data for State of Rio Grande do Norte, Brazil

    • poidata.io
    csv, json
    Updated Nov 30, 2025
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    Business Data Provider (2025). Fertility physicians Business Data for State of Rio Grande do Norte, Brazil [Dataset]. https://www.poidata.io/report/fertility-physician/brazil/state-of-rio-grande-do-norte
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    json, csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    State of Rio Grande do Norte
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 2 verified Fertility physician businesses in State of Rio Grande do Norte, Brazil with complete contact information, ratings, reviews, and location data.

  12. a

    1993 Pelotas (Brazil) Birth Cohort Study

    • atlaslongitudinaldatasets.ac.uk
    url
    Updated Oct 9, 2024
    + more versions
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    Atlas of Longitudinal Datasets (2024). 1993 Pelotas (Brazil) Birth Cohort Study [Dataset]. https://atlaslongitudinaldatasets.ac.uk/datasets/1993-pelotas-brazil-birth-cohort-study
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    urlAvailable download formats
    Dataset updated
    Oct 9, 2024
    Dataset provided by
    Atlas of Longitudinal Datasets
    License

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

    Area covered
    Brazil
    Variables measured
    Agoraphobia, Panic Disorder, Bulimia Nervosa, Specific Phobia, Anorexia Nervosa, Standard measures, Emotional problems, Alcohol Use Disorder, Antisocial behaviour, Behavioural problems, and 10 more
    Measurement technique
    Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry), Cohort - birth, Interview – face-to-face, Hospital, Prenatal clinics, None, Clinic
    Dataset funded by
    European Economic Commission
    Wellcome Trusthttps://wellcome.org/
    Brazilian Ministry of Health
    Foundation for Research Support of the State of Rio Grande do Sul (FAPERGS)
    Brazilian National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq)
    Description

    The 1993 Pelotas Birth Cohort is one of four large population-based cohorts based within the Brazilian city of Pelotas. The first cohort is from 1982, and the development of a new cohort began every 11 years (1993, 2004, and 2015). All children born between January 1st and December 31st, 1993, living in the urban area of ​​Pelotas, are part of the current study. During the whole of 1993, all maternity hospitals in the city were visited daily, and 5,265 births from women living in the city were recorded. Of these, 5,249 agreed to take part in the longitudinal study; 50.3% were female, 18.4% belonged to very poor families (less than US$ 100 per month), 9.8% presented low birth weight, 10.8% were born pre-term, and 30.5% were delivered through caesarean sections.

  13. Data from: The increasing burden of pancreatic cancer in Brazil from 2000 to...

    • scielo.figshare.com
    xls
    Updated Jun 13, 2023
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    Diogo Oliveira Chaves; Aline Cândida Bastos; Alessandra Maciel Almeida; Maximiliano Ribeiro Guerra; Maria Teresa Bustamante Teixeira; Ana Paula Souto Melo; Valéria Maria de Azeredo Passos (2023). The increasing burden of pancreatic cancer in Brazil from 2000 to 2019: estimates from the Global Burden of Disease Study 2019. [Dataset]. http://doi.org/10.6084/m9.figshare.19940912.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Diogo Oliveira Chaves; Aline Cândida Bastos; Alessandra Maciel Almeida; Maximiliano Ribeiro Guerra; Maria Teresa Bustamante Teixeira; Ana Paula Souto Melo; Valéria Maria de Azeredo Passos
    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 INTRODUCTION: Pancreatic cancer is increasing worldwide. The burden of pancreatic cancer in Brazil and its states was analyzed and compared with that from the USA and China. METHODS: This is a descriptive study of the incidence and mortality estimates from the Global Burden of Disease 2019 study, from 2000 to 2019. The Brazilian states presenting the highest and lowest socio-demographic index (SDI) were selected from each of the five regions. The SDI consists of the per capita income, education, and fertility rate of each population. RESULTS: A significant increase was found in age-standardized incidence and mortality of pancreatic cancer in all three countries, with differences in magnitude and annual increases. In Brazil, this incidence rose from 5.33 [95% Uncertainty Interval (UI): 5.06- 5.51] to 6.16 (95% UI: 5.68- 6.53) per 100,000 inhabitants. China and the Brazilian states with the lowest SDI, such as Pará and Maranhão, showed lower incidence and mortality rates, although presenting the highest annual increases. No difference was found between the sexes. A higher mortality rate was observed for those individuals of 70+ years, which was three to four times higher than those aged 50 to 69 years. CONCLUSIONS: The increasing burden of pancreatic cancer in the studied countries, and the higher estimates for the elderly in a fast-aging country such as Brazil, indicates that more resources and health policies will be necessary. The greatest increase in the states with lower SDI reflects inequalities in the access to diagnosis and registries of this cancer.

  14. f

    Data from: Health of adolescents in the 1997/1998 birth cohort in São Luís,...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    Batista, Rosângela Fernandes Lucena; de Carvalho, Carolina Abreu; de Britto e Alves, Maria Teresa Seabra Soares; Thomaz, Erika Bárbara Abreu Fonseca; Ribeiro, Cecilia Cláudia Costa; da Silva, Antônio Augusto Moura; Simões, Vanda Maria Ferreira (2021). Health of adolescents in the 1997/1998 birth cohort in São Luís, Maranhão State, Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000893355
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    Dataset updated
    Mar 24, 2021
    Authors
    Batista, Rosângela Fernandes Lucena; de Carvalho, Carolina Abreu; de Britto e Alves, Maria Teresa Seabra Soares; Thomaz, Erika Bárbara Abreu Fonseca; Ribeiro, Cecilia Cláudia Costa; da Silva, Antônio Augusto Moura; Simões, Vanda Maria Ferreira
    Area covered
    São Luís, State of Maranhão, Brazil
    Description

    Abstract: The study aimed to estimate the prevalence of health indicators among adolescents in São Luís, Maranhão State, Brazil, in 2016. The analysis included sociodemographic conditions, life habits, body composition, sleep quality, physical activity, cognitive performance, and suicide risk in 2,515 adolescents 18 to 19 years of age. The adolescents belonged to the 1997/1998 birth cohort or were included retrospectively using the SINASC (Brazilian Information System on Live Births) database. The adolescents were mainly from economic class C (50.1%), 69.5% were in school, 40.3% were working, and 25.2% were neither studying nor working; 60.3% had been robbed, and 48.7% had parents who were separated or divorced; 19.4% showed harmful or excessive alcohol consumption or probable addiction, 19.1% had used or were using illicit drugs, 53.7% reported poor sleep quality, 40.8% reported frequent headaches, 34.3% reported more than five hours of daily screen time, and 4.1% showed high suicide risk. Prevalence of high blood pressure was 12%, and 6% were obese. Girls were more physically inactive (80.7%) and showed greater percentage of high (15.8%) and very high body fat (21.5%), while boys showed greater prevalence of high blood pressure (21.2%) and lower prevalence of physical inactivity (40.9%). High prevalence rates of health risk factors increase the adolescents’ vulnerability, exposing these individuals earlier to factors leading to diseases and other health problems.

  15. p

    Fertility physicians Business Data for State of Bahia, Brazil

    • poidata.io
    csv, json
    Updated Nov 4, 2025
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    Business Data Provider (2025). Fertility physicians Business Data for State of Bahia, Brazil [Dataset]. https://www.poidata.io/report/fertility-physician/brazil/state-of-bahia
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    State of Bahia
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 8 verified Fertility physician businesses in State of Bahia, Brazil with complete contact information, ratings, reviews, and location data.

  16. Brazilian Elites, 1960

    • icpsr.umich.edu
    • search.datacite.org
    ascii, sas, spss
    Updated Feb 16, 1992
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    McDonough, Peter J. (1992). Brazilian Elites, 1960 [Dataset]. http://doi.org/10.3886/ICPSR00046.v1
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    spss, ascii, sasAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    McDonough, Peter J.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/46/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/46/terms

    Area covered
    Brazil, Global, South America
    Description

    This data collection contains biographical information for approximately 1,000 prominent Brazilians in the early 1960s. Demographic variables provide information on age, sex, marital status, city and state of birth and residence, number of children, education, and profession. Additional variables provide information on the size of the city of birth and residence, the number of different occupations or professions, and foreign contacts, including evidence of foreign travels.

  17. Data from: Pattern of Live Births in Rio de Janeiro State, Brazil, According...

    • scielo.figshare.com
    xls
    Updated Jun 2, 2023
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    Luciana Leite de Mattos Alcantara; Núbia Karla de Oliveira Almeida; Renan Moritz Varnier Rodrigues de Almeida (2023). Pattern of Live Births in Rio de Janeiro State, Brazil, According to Robson Groups and the Kotelchuck Index Classification - 2015/2016 [Dataset]. http://doi.org/10.6084/m9.figshare.14317136.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Luciana Leite de Mattos Alcantara; Núbia Karla de Oliveira Almeida; Renan Moritz Varnier Rodrigues de Almeida
    License

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

    Area covered
    State of Rio de Janeiro, Brazil
    Description

    Abstract Objective To investigate the patterns of hospital births in the state of Rio de Janeiro (RJ), Brazil, between 2015 and 2016; considering the classification of obstetric characteristics proposed by Robson and the prenatal care index proposed by Kotelchuck. Methods Data obtained from the Information System on Live Births of the Informatics Department of the Brazilian Unified Health System (SINASC/DATASUS, in the Portuguese acronym) databases were used to group pregnant women relatively to the Robson classification. A descriptive analysis was performed for each Robson group, considering the variables: maternal age, marital status, schooling, parity, Kotelchuck prenatal adequacy index and gestational age. A logistic model estimated odds ratios (ORs) for cesarean sections (C-sections), considering the aforementioned variables. Results Out of the 456,089 live births in Rio de Janeiro state between 2015 and 2016, 391,961 records were retained, 60.3% of which were C-sections. Most pregnant women (58.6%) were classified in groups 5, 2 or 3. The percentage of C-sections in the Robson groups 1, 2, 3, 4, 5 and 8 was much higher than expected. Prenatal care proved to be inadequate for women who subsequently had a vaginal delivery, had an unfavorable family structure and a lower socioeconomic status (mothers without partners and with lower schooling), compared with those undergoing cesarean delivery. For a sameRobson group, the chance of C-section increases when maternal age rises (OR = 3.33 for 41-45 years old), there is the presence of a partner (OR = 1.81) and prenatal care improves (OR = 3.19 for “adequate plus”). Conclusion There are indications that in the state of RJ, from 2015 to 2016, many cesarean deliveries were performed due to nonclinical factors.

  18. H

    Characterization of agricultural areas in settlements for studies on...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jul 5, 2023
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    Alysson Roberto Baizi e Silva (2023). Characterization of agricultural areas in settlements for studies on fertility, management, and conservation of soils for cassava cultivation in the state of Pará, Brazil [Dataset]. http://doi.org/10.7910/DVN/ITSUXO
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Alysson Roberto Baizi e Silva
    License

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

    Area covered
    State of Pará, Brazil
    Description

    This dataset includes a spreadsheet with information on cassava cultivation areas in some settlements in the municipality of Marabá, state of Pará, Brazil. In addition, data on relationship of cassava plant growth with hot-water extractable B concentration in soil (Figure 1) and B concentration in leaf blades (Figure 2) are also included. All these data were obtained as part of actions of the Mandiotec Project, PC 3 Solos, Activities 24.17.01.014.03.03.003 and 24.17.01.014.03.03.004.

  19. p

    Fertility physicians Business Data for State of Amazonas, Brazil

    • poidata.io
    csv, json
    Updated Dec 2, 2025
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    Business Data Provider (2025). Fertility physicians Business Data for State of Amazonas, Brazil [Dataset]. https://www.poidata.io/report/fertility-physician/brazil/state-of-amazonas
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    json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    State of Amazonas
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1 verified Fertility physician businesses in State of Amazonas, Brazil with complete contact information, ratings, reviews, and location data.

  20. Data from: Factors associated with birthweight of Terena indigenous children...

    • scielo.figshare.com
    xls
    Updated May 31, 2023
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    Deise Bresan; Elenir Rose Jardim Cury Pontes; Maurício Soares Leite (2023). Factors associated with birthweight of Terena indigenous children living in the urban area of Campo Grande, Mato Grosso do Sul State, Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.9871034.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Deise Bresan; Elenir Rose Jardim Cury Pontes; Maurício Soares Leite
    License

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

    Area covered
    Campo Grande, State of Mato Grosso do Sul, Brazil
    Description

    Abstract: The study aimed to verify the association between birthweight of Terena children living in the urban area of Campo Grande, Mato Grosso do Sul State, Brazil, and demographic, socioeconomic, and health variables and to describe the prevalence of low birthweight. Data were collective through home visits with a form completed with the mothers and based on records from the prenatal and neonatal cards. The sample included all the Terena women who gave birth to liveborn children from June 1, 2017, to July 31, 2018, and living in the Água Bonita, Darcy Ribeiro, Marçal de Souza, and Tarsila do Amaral villages. Birthweight was the outcome, and demographic, socioeconomic, and health characteristics were the exposure variables. A total of 43 mothers participated with their children. Low birthweight prevalence was 2.3%. In the final model, children living in households with makeshift cesspools showed lower birthweight when compared to those living in households connected to the public sewage disposal system, and daughters of mothers who were obese prior to the pregnancy presented higher birthweight than those born to normal weight mothers, according to pregestational body mass index. The data seek to contribute to discussions on the health and nutrition of this important share of the indigenous population that lives in urban areas.

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Statista (2025). Total fertility rate in children per woman in Brazil 1960-2023 [Dataset]. https://www.statista.com/statistics/254317/fertility-rate-in-brazil/
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Total fertility rate in children per woman in Brazil 1960-2023

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Dataset updated
Apr 15, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

In 2023, the total fertility rate in children per woman in Brazil amounted to 1.62. Between 1960 and 2023, the figure dropped by 4.43, though the decline followed an uneven course rather than a steady trajectory.

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