100+ datasets found
  1. Data from: The elderly in Brazil: demographic transition, profile, and...

    • scielo.figshare.com
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    Updated Jun 1, 2023
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    Guilherme Fonseca Travassos; Alexandre Bragança Coelho; Mary Paula Arends-Kuenning (2023). The elderly in Brazil: demographic transition, profile, and socioeconomic condition [Dataset]. http://doi.org/10.6084/m9.figshare.14280630.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Guilherme Fonseca Travassos; Alexandre Bragança Coelho; Mary Paula Arends-Kuenning
    License

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

    Area covered
    Brazil
    Description

    Resumo This paper presents a revision about the elderly population in Brazil, addressing aspects of the demographic transition as it relates to socio-economic conditions and some consequences and trends associated with policies affecting Brazil’s elderly. Since a demographic transition has been occurring as a result of the aging of the Brazilian population, we identify a majority profile of Brazilian elderly as White women who live in urban areas in couple-without-children households, and possessing on average an education of 6.1 years and a smaller than minimum wage. We show that the vast majority of the elderly in Brazil receive some form of government income transfer that have a positive effect on poverty reduction in the segment. Finally, we show that there will be some future natural consequences and trends affecting the profile of the aging population, and that adjustments will need to be made by the government in terms of health and social security spending in order to mitigate the increased demands in these areas as the country's demographic change.

  2. T

    Brazil - Elderly Literacy Rate, Population 65+ Years, Male

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 25, 2017
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    TRADING ECONOMICS (2017). Brazil - Elderly Literacy Rate, Population 65+ Years, Male [Dataset]. https://tradingeconomics.com/brazil/elderly-literacy-rate-population-65-years-male-percent-wb-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 25, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Brazil
    Description

    Elderly literacy rate, population 65+ years, male (%) in Brazil was reported at 79.34 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly literacy rate, population 65+ years, male - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  3. T

    Brazil Elderly Illiterate Population 65 Years Percent Female

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 25, 2017
    + more versions
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    TRADING ECONOMICS (2017). Brazil Elderly Illiterate Population 65 Years Percent Female [Dataset]. https://tradingeconomics.com/brazil/elderly-illiterate-population-65-years-percent-female-wb-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 25, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Brazil
    Description

    Actual value and historical data chart for Brazil Elderly Illiterate Population 65 Years Percent Female

  4. Age structure in Brazil 2023

    • statista.com
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    Statista, Age structure in Brazil 2023 [Dataset]. https://www.statista.com/statistics/270806/age-structure-in-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    This statistic shows the age structure in Brazil from 2013 to 2023. In 2023 about 19.94 percent of Brazil's total population were aged 0 to 14 years. Population of Brazil Brazil is the fifth largest country in the world by area and population and the largest in both South America and the Latin American region. With a total population of more than 200 million inhabitants in 2013, Brazil also ranks fifth in terms of population numbers. Brazil is a founding member of the United Nations, the G20, CPLP, and a member of the BRIC countries. BRIC is an acronym for Brazil, Russia, India, and China, the four major emerging market countries. The largest cities in Brazil are São Paulo, Rio de Janeiro and Salvador. São Paulo alone reports over 11.1 million inhabitants. Due to a steady increase in the life expectancy in Brazil, the average age of the population has also rapidly increased. From 1950 until 2015, the average age of the population increased by an impressive 12 years; in 2015, the average age of the population in Brazil was reported to be around 31 years. As a result of the increasing average age, the percentage of people aged between 15 and 64 years has also increased: In 2013, about 68.4 percent of the population in Brazil was aged between 15 and 64 years.

  5. Data from: Consumption and social and demographic profile of the different...

    • scielo.figshare.com
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    Updated May 31, 2023
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    Natália Calais Vaz de Melo; Karla Maria Damiano Teixeira; Mirely Bonin Silveira (2023). Consumption and social and demographic profile of the different household arrangements of the elderly in Brazil: analysis from the Study on Family Budgets [Dataset]. http://doi.org/10.6084/m9.figshare.5644735.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Natália Calais Vaz de Melo; Karla Maria Damiano Teixeira; Mirely Bonin Silveira
    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 Objective: to define the social and demographic profile of the different household arrangements involving the elderly, as well as to calculate the average annual consumption of such household arrangements according to the Pesquisa de Orçamentos Familiares (the Study on Family Budgets) (2008/2009). Method: a quantitative, descriptive, cross-sectional study was performed using secondary data extracted from the micro-data of the Study on Family Budgets (2008/2009), carried out by the Instituto Brasileiro de Geografia e Estatística (the Brazilian Institute of Geography and Statistics). In order to define the social and demographic profile of different household arrangements an exploratory analysis of the data was carried out, and the Gini index was used to identify if there was inequality in the distribution of consumption. Results: The results showed that elderly consumers can be seen as constituents of new generations, while most have only an elementary education and reside in an urban region of Brazil. There was a predominance of female heads of households in which there was no spouse present. When evaluating the distribution of the annual consumption of all the families, a greater weighting of the categories miscellaneous expenses, housing, transportation and food was found. Conclusions: Understanding the socioeconomic characteristics of the different home arrangements of the elderly, as well as their relationships with the consumption of goods and services, is extremely important, since the goods and services offered to this segment of the population can provide satisfaction with and improvement in quality of life.

  6. m

    Brazil Elderly Care Market Size and Forecasts 2030

    • mobilityforesights.com
    pdf
    Updated Apr 26, 2025
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    Mobility Foresights (2025). Brazil Elderly Care Market Size and Forecasts 2030 [Dataset]. https://mobilityforesights.com/product/brazil-elderly-care-market
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    pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Mobility Foresights
    License

    https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy

    Area covered
    Brazil
    Description

    In Brazil Elderly Care Market, It is expanding rapidly due to the rising aging population, increasing prevalence of chronic diseases, and growing demand for long-term care solutions.

  7. f

    Data from: Oral health conditions and activities of daily living in an...

    • datasetcatalog.nlm.nih.gov
    Updated Jun 7, 2022
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    da Silva, Diviane Alves; de Freitas, Yan Nogueira Leite; de Castro Pegado, Carla Patrícia; de Lima, Kenio Costa; de Oliveira, Tamires Carneiro; da Silva, Romerito Lins (2022). Oral health conditions and activities of daily living in an elderly population in Brazil [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000241081
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    Dataset updated
    Jun 7, 2022
    Authors
    da Silva, Diviane Alves; de Freitas, Yan Nogueira Leite; de Castro Pegado, Carla Patrícia; de Lima, Kenio Costa; de Oliveira, Tamires Carneiro; da Silva, Romerito Lins
    Area covered
    Brazil
    Description

    Abstract Objective: To analyze the relationship between the oral health status and functional capacity in performing basic activities of daily living of a population of elderly persons. Method: A cross-sectional population-based study with 441 individuals aged 60 years or over both genders was performed in the municipality of Macaíba, Rio Grande do Norte. From intraoral epidemiological examination, the degree of caries attacks (CPO-D index), periodontal condition (CPI and PIP indexes), the use and need for dental prosthesis and the presence of oral lesions were evaluated. Independence in Activities of Daily Living was used to evaluate functional capacity. Socioeconomic and demographic characteristics were surveyed using a structured questionnaire. Results: Oral health variables were subjected to factor analysis, which resulted in four indicators. There was no association between these indicators and the functional capacity of the elderly. Gender, age, presence of caregiver, dominant area of residence, time of last visit to the dentist, type of care sought during such visit and self-perception regarding prosthesis replacement were significantly associated with oral health indicators. Conclusion: Given the non-identification of the effect of functional capacity on the oral health of the elderly, the time of measurement of the events investigated should be considered. It is suggested that dependency among the elderly occurs at different times from when the consequences of oral problems are observed, considering the cumulative effects of a previous history of invasive dental care.

  8. Data from: Population aging and the probability of saving: a life cycle...

    • scielo.figshare.com
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    Updated Jun 2, 2023
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    Pedro Tonon Zuanazzi; Adelar Fochezatto (2023). Population aging and the probability of saving: a life cycle analysis of the Brazilian case [Dataset]. http://doi.org/10.6084/m9.figshare.14304659.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Pedro Tonon Zuanazzi; Adelar Fochezatto
    License

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

    Description

    Abstract This study analyzes the life cycle of private individuals' savings in Brazil, reflecting on how the proportion of savers changes as the population ages. To this end, we employ a multinomial logit model to compare the probability of savings and dissavings for individuals, according to their ages, based on data from the Household Budget Surveys (HBS) of 2002-2003 and 2008-2009. The results confirm a greater incidence of savers among middle-aged adults and a greater percentage of dissavers among the elderly. However, given the age structure of the Brazilian population, demographic change is still expected to result in an increase in the number of net savers in the coming years.

  9. f

    Data from: Functional fitness in older women from southern brazil: normative...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Mar 24, 2021
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    Moreira, Natália Boneti; Mazzardo, Oldemar; Gomes, Antonio Carlos; Vagetti, Gislaine Cristina; Filho, Valter Cordeiro Barbosa; de Campos, Wagner; de Oliveira, Valdomiro (2021). Functional fitness in older women from southern brazil: normative scores and comparison with different countries [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000811538
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    Dataset updated
    Mar 24, 2021
    Authors
    Moreira, Natália Boneti; Mazzardo, Oldemar; Gomes, Antonio Carlos; Vagetti, Gislaine Cristina; Filho, Valter Cordeiro Barbosa; de Campos, Wagner; de Oliveira, Valdomiro
    Area covered
    South Region, Brazil
    Description

    Abstract Functional fitness loss during aging may compromise the quality of life and independence of older subjects. It is important to evaluate and diagnose the functional fitness of the elderly population. This study proposed normative functional fitness scores for a sample of elderly women from southern Brazil and compared values to their counterparts in the US, Extremadura (Spain), Taiwan (China) and Spain. The study sample consisted of 1,783 older women aged 60.0 to 84.9 years (mean 68.7 years; standard deviation 6.3 years) who performed the proposed motor tests of the "Senior Fitness Test" for functional fitness in older women. The percentile values specific to each age group were calculated based on the seven functional fitness components: body mass index, 6-minute walk, arm curl, 30-s chair stand, chair sit-and-reach, backscratch, and 8-feet up-and-go. The non-parametric binomial test compared the 50th percentile value of Brazilian older women with those from other countries. Older women´s performance in the functional capacity tests decreased across age groups. The mean BMI varied among age groups from 29.11 to 26.76 kg/m2, 6-minute walk from 572.94 to 486.95 m, arm curl from 17.51 to 15.11 repetitions, 30-schair stand from 15.62 to 14.30 repetitions, chair sit-and-reach from 1.01 to - 0.47 cm, back scratch from -4.92 to -10.52 cm and 8-feet up-and-go from 5.96 to 6.83 sec. Functional fitness scores among older women in different countries differed significantly. However, the direction and magnitude of differences were specific to the functional fitness component. Significant differences were observed in the normative scores, suggesting that the use of international normative scores in Brazilian older women may underestimate or overestimate potential functional limitations.

  10. B

    Brazil BR: Age Dependency Ratio: % of Working-Age Population

    • ceicdata.com
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    CEICdata.com, Brazil BR: Age Dependency Ratio: % of Working-Age Population [Dataset]. https://www.ceicdata.com/en/brazil/population-and-urbanization-statistics/br-age-dependency-ratio--of-workingage-population
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    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, 2012 - Dec 1, 2023
    Area covered
    Brazil
    Variables measured
    Population
    Description

    Brazil BR: Age Dependency Ratio: % of Working-Age Population data was reported at 44.029 % in 2023. This records an increase from the previous number of 43.790 % for 2022. Brazil BR: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 64.019 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 89.023 % in 1963 and a record low of 43.371 % in 2017. Brazil BR: Age Dependency Ratio: % of Working-Age 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: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

  11. Total population of Brazil 2030

    • statista.com
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    Statista, Total population of Brazil 2030 [Dataset]. https://www.statista.com/statistics/263763/total-population-of-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    This statistic shows the total population of Brazil from 2020 to 2023, with a forecast through 2030. In 2023, the total population of Brazil was estimated at around 211.7 million inhabitants. Population of Brazil Brazil has a surprisingly low (and decreasing) population growth rate; despite it being home to the largest number of Catholics in the world, the majority of women in Brazil use some form of contraception, which is often government-subsidized or free, even though the Catholic Church retains its stance that the use of contraceptives is inherently wrong. Within the space of just one generation, families have gone from having more than six children to having just one or two, and the share of Catholics in the population is dwindling, too. The influence of 'telenovelas' — the overwhelmingly popular soap operas often with strong women figures and fewer than three children — could also be helping shape the population’s view of what an ideal family is. The fertility rate in Brazil fell below the replacement rate in 2006 and is still decreasing. The impending population imbalance in Brazil can be seen in the decreasing lower tier of the country’s age distribution. This follows a trend similar to the one Japan and many European countries are experiencing, which are now facing the problems of providing for an aging population with fewer young and working taxpayers. The trend is not quite as extreme in Brazil, giving it time to prepare for the fallout of decreasing family size. This preparation will be important to help the country maintain its emerging economic strength, which is watched with interest by many economists who have said that Brazil’s is one to watch — thus its position as one of the pillars of the “big four” BRIC countries.

  12. T

    Brazil - Elderly Illiterate Population, 65+ Years, Male

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 25, 2017
    + more versions
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    TRADING ECONOMICS (2017). Brazil - Elderly Illiterate Population, 65+ Years, Male [Dataset]. https://tradingeconomics.com/brazil/elderly-illiterate-population-65-years-male-number-wb-data.html
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 25, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Brazil
    Description

    Elderly illiterate population, 65+ years, male (number) in Brazil was reported at 1663671 Persons in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly illiterate population, 65+ years, male - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  13. f

    Data from: PHYSICAL ACTIVITY AND PREVALENCE OF FALLS AMONG ELDERLY LIVING IN...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Feb 7, 2018
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    Binotto, Maria Angélica; Gonçalves, Lúcia Hisako Takase; Benedetti, Tânia R. Bertoldo; Petroski, Edio Luiz (2018). PHYSICAL ACTIVITY AND PREVALENCE OF FALLS AMONG ELDERLY LIVING IN SOUTHERN BRAZIL [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000651236
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    Dataset updated
    Feb 7, 2018
    Authors
    Binotto, Maria Angélica; Gonçalves, Lúcia Hisako Takase; Benedetti, Tânia R. Bertoldo; Petroski, Edio Luiz
    Area covered
    South Region, Brazil
    Description

    Abstract This study aimed to investigate the relation between the physical activities level and falls prevalence among elderly people in the city of Florianopolis, state of Santa Catatina, Brazil. It is an epidemiological , cross-sectional and descriptive study, carried out in the city of Florianópolis, Brazil. The sampling, of statistical type and stratified by census section and sex, resulted in a sample of 875 senior citizens. The instruments adopted for data collection were the Questionnaire Brazil Old Age Schedule (BOAS) and the International Questionnaire of Physical Activities (IPAQ) long version. Results pointed out that 59.3% of seniors were considered more active ones. Seniors who suffered falls during the period of three months before the interview reached the amount of 11.4% and most of them were more active people. There was statistical association between falls and the variables: problems in the feet (p=0,002) and articulations (p=0,006). It concludes that it is necessary to prevent falls and, at the same time, to stimulate physical activities free from risks for the elderly population.

  14. F

    Age Dependency Ratio: Older Dependents to Working-Age Population for Brazil

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Age Dependency Ratio: Older Dependents to Working-Age Population for Brazil [Dataset]. https://fred.stlouisfed.org/series/SPPOPDPNDOLBRA
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Brazil
    Description

    Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for Brazil (SPPOPDPNDOLBRA) from 1960 to 2024 about 64 years +, working-age, Brazil, ratio, and population.

  15. F

    Population ages 65 and above for Brazil

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population ages 65 and above for Brazil [Dataset]. https://fred.stlouisfed.org/series/SPPOP65UPTOZSBRA
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    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Brazil
    Description

    Graph and download economic data for Population ages 65 and above for Brazil (SPPOP65UPTOZSBRA) from 1960 to 2024 about 65-years +, Brazil, and population.

  16. Data from: Population aging in Brazil: current and future social challenges...

    • scielo.figshare.com
    xls
    Updated Jun 3, 2023
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    Gabriella Morais Duarte Miranda; Antonio da Cruz Gouveia Mendes; Ana Lucia Andrade da Silva (2023). Population aging in Brazil: current and future social challenges and consequences [Dataset]. http://doi.org/10.6084/m9.figshare.20016600.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Gabriella Morais Duarte Miranda; Antonio da Cruz Gouveia Mendes; Ana Lucia Andrade da Silva
    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 Objective: To analyze the current and future challenges related to the planning of public policies and population aging. Method: A case study was conducted using quantitative and qualitative data from secondary data information systems and interviews with actors of social policy and the country's health. Results: In 2010, there were 39 elderly persons for every 100 young people, while in 2040 there will be an estimated 153 elderly persons for every 100 young people. For those interviewed, Brazil is not prepared for the needs generated by such population aging, due to challenges such as the adequacy of the social security and health system. The growing number of elderly persons and increasing morbidity and mortality profiles worsen the heterogeneous epidemiological situation with disease, disability and sequelae that require the health system to be a continuous and multidisciplinary organization. The present study identified a reduction of beds and hospitalizations, which may reflect the improvement of primary care and quality of life, with a complexification of hospitalizations. Conclusion: With population aging and a lack of necessary support, society must be aware of the price that it must pay and the state must be prepared to provide specific policies to ensure comprehensive care, recognizing the characteristics of aging and preserving quality of life.

  17. N

    Brazil, IN Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Brazil, IN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f0128ba8-4983-11ef-ae5d-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    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
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Brazil, IN population pyramid, which represents the Brazil population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Brazil, IN, is 29.7.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Brazil, IN, is 29.1.
    • Total dependency ratio for Brazil, IN is 58.7.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Brazil, IN is 3.4.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Brazil population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Brazil for the selected age group is shown in the following column.
    • Population (Female): The female population in the Brazil for the selected age group is shown in the following column.
    • Total Population: The total population of the Brazil for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Brazil Population by Age. You can refer the same here

  18. f

    Data from: Leprosy in elderly people and the profile of a retrospective...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Sep 3, 2019
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    de Sousa Oliveira, João Sérgio; da Silva, Alison Ramos; dos Reis, Ana Luisa Mendes; Lopes, Geovanna Lemos; Xavier, Marília Brasil; Margalho, Luana Pereira; de Moraes, Niele Silva (2019). Leprosy in elderly people and the profile of a retrospective cohort in an endemic region of the Brazilian Amazon [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000089765
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    Dataset updated
    Sep 3, 2019
    Authors
    de Sousa Oliveira, João Sérgio; da Silva, Alison Ramos; dos Reis, Ana Luisa Mendes; Lopes, Geovanna Lemos; Xavier, Marília Brasil; Margalho, Luana Pereira; de Moraes, Niele Silva
    Description

    BackgroundLeprosy has a global presence; more than 180 thousand new cases were registered in 2013, 15% of which were found in the Americas. The elderly are a very susceptible demographic in terms of developing illnesses, mainly because of characteristics natural to the senescence of the human organism. This study’s goals were to analyze leprosy in an elderly population from a hyperendemic region of the Brazilian Amazon in a historical series from 2004 to 2013 and to determine the clinical and epidemiological profile of a series of leprosy cases of elderly people in the period spanning from 2009 to 2013.MethodsTo achieve these goals, an observational, longitudinal, retrospective and descriptive study was put together to analyze leprosy in elderly people from data acquired from the Notification Aggravations Information System. Furthermore, a profile of the disease from a retrospective cohort based on data collected from medical records was developed.ResultsThe number of new cases and the leprosy detection rate decreased across the observed period but remained stable among the elderly. The trend for the next ten years indicates decreases in the number of cases and in the detection rate in the general population and an increase in only the elderly. The overall profile was characterized by a predominance of males (64.32%), the multibacillary clinical form (87.57%), Type 1 reaction episodes (37.50%) and some physical incapacity at diagnosis (49.19%). The risk of reaction was greater in the first six months of multidrug therapy, and the positive result from the skin smear was associated with the greater chance of reactional condition development.ConclusionsThe resulting data demonstrate that leprosy amongst the elderly deserves attention because of the increased susceptibility to disability in this age group, with their higher risk of reaction and their greater level of co-morbidity.

  19. B

    Brazil Dependency Ratio: Elderly: North: Pará

    • ceicdata.com
    + more versions
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    CEICdata.com, Brazil Dependency Ratio: Elderly: North: Pará [Dataset]. https://www.ceicdata.com/en/brazil/dependency-ratio/dependency-ratio-elderly-north-par
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    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
    Sep 1, 2004 - Sep 1, 2015
    Area covered
    Brazil
    Variables measured
    Vital Statistics
    Description

    Brazil Dependency Ratio: Elderly: North: Pará data was reported at 16.800 NA in 2015. This records an increase from the previous number of 15.800 NA for 2014. Brazil Dependency Ratio: Elderly: North: Pará data is updated yearly, averaging 12.200 NA from Sep 2004 (Median) to 2015, with 11 observations. The data reached an all-time high of 16.800 NA in 2015 and a record low of 10.800 NA in 2005. Brazil Dependency Ratio: Elderly: North: Pará data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAE008: Dependency Ratio.

  20. f

    Data from: Falls among the non-institutionalized elderly in northern Minas...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Jun 7, 2022
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    Caldeira, Antônio Prates; Silva, Jéssica Santos Rocha; Ramos, Gizele Carmen Fagundes; Carneiro, Jair Almeida; Vieira, Élen Débora Souza; Barbosa, Ana Teresa Fernandes (2022). Falls among the non-institutionalized elderly in northern Minas Gerais, Brazil: prevalence and associated factors [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000230467
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    Dataset updated
    Jun 7, 2022
    Authors
    Caldeira, Antônio Prates; Silva, Jéssica Santos Rocha; Ramos, Gizele Carmen Fagundes; Carneiro, Jair Almeida; Vieira, Élen Débora Souza; Barbosa, Ana Teresa Fernandes
    Area covered
    State of Minas Gerais, Brazil
    Description

    Abstract Objective: To identify the prevalence of falls and associated factors in non-institutionalized elderly persons. Methods: A cross-sectional study featuring a population-based sample of non-institutionalized elderly persons in a city in the north of Minas Gerais was performed. Interviews were conducted in households by trained staff using validated instruments. We investigated the associations between falls and demographic, socioeconomic and health-related factors. After bivariate analysis, the variables associated with falls to a level of 20% were analyzed together using logistic regression, assuming at this stage a significance level of 5%. Results: The studied population was predominantly female, married and with a low educational level. The prevalence of falls was 28.4%. The factors that were associated with falls were: female gender (OR=1.67; 95% CI:1.13 to 2.47); negative self-evaluation of health (OR=1.49; 95% CI: 1.02 to 2.20); impaired functional mobility (Timed Up and Go test >20 seconds) (OR=1.66; 95CI: 1.02-2.74); the occurrence of hospitalization in the previous 12 months (OR=1.82; 95% CI: 1.17 to 2.84); and frailty measured by the Edmonton Frail Scale (OR=1.73; 95% CI: 1.14 to 2.64). Conclusions: The prevalence of falls was high for the population studied and was related to the individual health conditions of the elderly.

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Guilherme Fonseca Travassos; Alexandre Bragança Coelho; Mary Paula Arends-Kuenning (2023). The elderly in Brazil: demographic transition, profile, and socioeconomic condition [Dataset]. http://doi.org/10.6084/m9.figshare.14280630.v1
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Data from: The elderly in Brazil: demographic transition, profile, and socioeconomic condition

Related Article
Explore at:
jpegAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
SciELOhttp://www.scielo.org/
Authors
Guilherme Fonseca Travassos; Alexandre Bragança Coelho; Mary Paula Arends-Kuenning
License

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

Area covered
Brazil
Description

Resumo This paper presents a revision about the elderly population in Brazil, addressing aspects of the demographic transition as it relates to socio-economic conditions and some consequences and trends associated with policies affecting Brazil’s elderly. Since a demographic transition has been occurring as a result of the aging of the Brazilian population, we identify a majority profile of Brazilian elderly as White women who live in urban areas in couple-without-children households, and possessing on average an education of 6.1 years and a smaller than minimum wage. We show that the vast majority of the elderly in Brazil receive some form of government income transfer that have a positive effect on poverty reduction in the segment. Finally, we show that there will be some future natural consequences and trends affecting the profile of the aging population, and that adjustments will need to be made by the government in terms of health and social security spending in order to mitigate the increased demands in these areas as the country's demographic change.

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