Elderly literacy rate, population 65+ years, female (%) in Brazil was reported at 77.94 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly literacy rate, population 65+ years, female - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

Elderly illiterate population, 65+ years, % female in Brazil was reported at 58.52 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly illiterate population, 65+ years, % female - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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.

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.

Elderly illiterate population, 65+ years, both sexes (number) in Brazil was reported at 4010841 Persons in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly illiterate population, 65+ years, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

OBJECTIVE: This study aimed to characterize the sociodemographic profile of elderly in a city in northern Rio Grande do Sul state, Brazil. METHODOLOGY: Quantitative, descriptive and transversal research analyzing sociodemographic (age, sex, marital status, educational background and income) and lifestyle (alcoholism, smoking and physical exercise) variables. RESULTS: Four hundred and twenty-four elderly people participated in the study, being 68.4% women aged 60-69 years old. There were more individuals aged 80 than 75-80 years (14.6%); predomination of marital status "married" (53.8%); most had studied for less than five years (60.1%), had family income between one and two minimum wages, and with two dependent people. The main expenses were related to feeding, health/drugs, and 75.7% of them made use of daily drugs, while 71.3% took from one to three drugs daily. Most of them did not consume alcoholic (85.6%), nor smoked (85.6%), and 48.3% of the elderly did not practice regular physical exercises. CONCLUSIONS: Based on the results of this study, the prevailing sociodemographic profile in the elderly is low income and poorer education; concerning lifestyle, most did not drink alcoholic beverages, smoke, or practice physical activity, and their main expenditure was feeding and health/drugs. In this context, it is understood that public health management has great challenges with ageing, such as enabling technicians and professionals develop inclusive policies that value more the elderly, as well as their caregivers and relatives, by offering adequate support.

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) 2019-2023 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 27.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Brazil, IN, is 30.7.
• Total dependency ratio for Brazil, IN is 57.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Brazil, IN is 3.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

OBJECTIVE: To identify major health problems, drug usage profile and drug-related problems (DRPs) involved in the treatment of frail elderly people of Zona da Mata of Minas Gerais state, Brazil. METHODS: The study assessed 260 medical records of elderly patients served by Centro Mais Vida, Juiz de Fora-MG, between August and September 2010. The diseases were grouped according to the International Classification of Diseases - 10th review, the drugs according to the Anatomical Therapeutic Chemical Classification System and the DRPs according to the Dáder method. RESULTS: It was observed that 73.8% of the elderly people were female and 42.7% were aged 60-69 years. We found 1,300 diseases, of which 31.07% were of circulatory system, 19.85% endocrine, nutritional and metabolic diseases and 13.46% of the musculoskeletal system and connective tissue. Among the 1,737 drugs, the ones of cardiovascular system (42.8%), followed by alimentary tract and metabolism (23.7%) and nervous system (18.2%) were the most prevalent. Among all drugs, 53.9% presented some DRPs, being DRP 1 (not using the drug needed) the most frequent (37.4%). CONCLUSION: The results highlight the need to review drug regimens of elderly patients, aiming to encourage rational and effective use of medicines. The data also show the need for more complete studies about the evaluation of DRP risks in the elderly population.

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

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.

The aging population calls for instruments to assess functional and cognitive impairment in the elderly, aiming to prevent conditions that affect functional abilities. OBJECTIVE: To verify the accuracy and reliability of the Pfeffer (FAQ) scale for the Brazilian elderly population and to evaluate the reliability and reproducibility of the translated version of the Pfeffer Questionnaire. METHODS: The Brazilian version of the FAQ was applied to 110 elderly divided into two groups. Both groups were assessed by two blinded investigators at baseline and again after 15 days. In order to verify the accuracy and reliability of the instrument, sensitivity and specificity measurements for the presence or absence of functional and cognitive decline were calculated for various cut-off points and the ROC curve. Intra and inter-examiner reliability were assessed using the Interclass Correlation Coefficient (ICC) and Bland-Altman plots. RESULTS: For the occurrence of cognitive decline, the ROC curve yielded an area under the curve of 0.909 (95%CI of 0.845 to 0.972), sensitivity of 75.68% (95%CI of 93.52% to 100%) and specificity of 97.26%. For the occurrence of functional decline, the ROC curve yielded an area under the curve of 0.851 (95%CI of 64.52% to 87.33%) and specificity of 80.36% (95%CI of 69.95% to 90.76%). The ICC was excellent, with all values exceeding 0.75. On the Bland-Altman plot, intra-examiner agreement was good, with p>0.05 consistently close to 0. A systematic difference was found for inter-examiner agreement. CONCLUSION: The Pfeffer Questionnaire is applicable in the Brazilian elderly population and showed reliability and reproducibility compared to the original test.

Brazil Dependency Ratio: Elderly: Southeast: São Paulo: Metropolitan Region of São Paulo data was reported at 22.100 NA in 2015. This records an increase from the previous number of 21.600 NA for 2014. Brazil Dependency Ratio: Elderly: Southeast: São Paulo: Metropolitan Region of São Paulo data is updated yearly, averaging 17.100 NA from Sep 2004 (Median) to 2015, with 11 observations. The data reached an all-time high of 22.100 NA in 2015 and a record low of 14.400 NA in 2004. Brazil Dependency Ratio: Elderly: Southeast: São Paulo: Metropolitan Region of São Paulo 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.

Brazil Dependency Ratio: Elderly: North: Pará: Belem data was reported at 17.400 NA in 2015. This records an increase from the previous number of 17.300 NA for 2014. Brazil Dependency Ratio: Elderly: North: Pará: Belem data is updated yearly, averaging 13.300 NA from Sep 2004 (Median) to 2015, with 11 observations. The data reached an all-time high of 17.400 NA in 2015 and a record low of 11.000 NA in 2005. Brazil Dependency Ratio: Elderly: North: Pará: Belem 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.

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 June of 2025.

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.

This statistic shows the median age of the population in Brazil from 1950 to 2100. The median age is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population. In 2020, the median age of the Brazilian population was 32.7 years. Brazil as a developing nation The average age of the Brazil’s population has risen from a low of 16.8 years in 1965 to 32.4 years in 2020, a typical change in developing nations, and other demographic parameters support this trend: As of 2014, the share of children under 14 years of age stood at around 23.5 percent, a great improvement from earlier times. Since 2005, the fertility rate has also dropped significantly, but now it is even lower than the natural replacement rate at 1.78 children per woman. Over the same period of time, life expectancy has also risen to 74.4 years of age - higher than the average for developing nations. These changes typically happen as a result of developing countries becoming more modernized and economically diverse. Brazil’s economy had been getting significantly stronger and per capita GDP peaked in 2011 at a much higher value than the regional average for Latin America and the Caribbean. However, the Brazilian economy has reached a difficult point, and GDP per capita is expected to fall to as low as 7,447 U.S. dollars in 2016. As Brazil’s demographics are now similar to other developing countries, the economy has not been able to maintain a similar path to steady growth.

In 2023, the age dependency ratio in Brazil amounted to around 43.3 percent. This is the same as in the previous year. Overall, the country's old-age dependency ratio has been declining steadily since 1980.

Elderly literacy rate, population 65+ years, both sexes (%) in Brazil was reported at 78.54 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Elderly literacy rate, population 65+ years, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Abstract This study aimed to assess the association between oral health and rurality in an older Brazilian population. Population-based samples of 1,451 urban and 411 rural elders were obtained from two databases. Several oral health and related measures, including the number of teeth lost, use of dental prostheses, dental visits, self-reported oral health, and perceived need for a dental prosthesis, were compared. Oral health-related information was obtained by a trained research team with interviews conducted in the individuals’ homes. Regression models were used to verify the association between living in rural areas and oral health outcomes after adjusting for possible confounding factors. The elderly population mostly comprised of women in rural or urban areas, and the mean age was 70 years in both locations. Less-educated individuals (without or with complete elementary schooling) were more common in rural regions than in urban areas. After adjustment for socioeconomic characteristics, living in rural areas was associated with a lower perceived need for dental prostheses (PR 0.68, 95% CI 0.56–0.84), poor self-reported oral health (OR 1.24; 95% CI 1.05–1.46), and having fewer teeth (β -1.31; 95% CI -2.18 to -0.45). The place of residence had a significant impact on oral health indicators, with rurality negatively influencing oral health. These findings suggest that preventive and curative strategies for dental services may be needed for the Brazilian rural population.