In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

In 2040, the percentage of the population of Singapore above the age of 65 was forecasted to reach more than ** percent. Comparatively, the share of the population older than 65 in Laos was forecasted to reach about *** percent.

In 2022, the percentage of the population of Indonesia aged 65 years or older was around **** percent. The share of the elderly population across the country has gradually increased over the past decade.

In 2024, the share of the Malaysian population aged over 65 years was at *** percent, an increase compared to *** percent in the previous year. Malaysia is currently facing the prospect of an aging population, and the latest statistical data predicted this to be happening as soon as in 2030. Aging population by 2030? An aging population is defined as one in which those aged 65 years and above make up at least 15 percent of the total population. According to a statement by Malaysia’s Chief Statistician in July 2019, the 15 percent threshold would be crossed in 2030. The past ten years have seen a change in Malaysia’s age structure. The share of the population between 0 and 14 years had been decreasing steadily, while the inverse was true for those aged 65 and above. The average age of the Malaysian population reflected this trend, and was expected to reach **** years in 2030, up from **** years in 2015. Is Malaysia ready for an aging society? Academics fear that Malaysian society would not be ready to meet the needs of a rapidly aging society. In a survey on aging, more than ** percent of Malaysian respondents felt that it was the duty of the young to take care of the elderly. This mindset places the burden of care on a shrinking base of young people. Not only that, it could contribute to the underdevelopment of social services for the elderly. Already, more Malaysians seemed pessimistic about aging. Existing problems such as a lack of professional caregivers, affordable care, and elderly-friendly housing, especially in rural areas, need to be quickly addressed before the silver tsunami overwhelms the country.

Indicators included have been derived from the published 2019 mid-year population estimates for the UK, England, Wales, Scotland and Northern Ireland. These are the number of persons and percentage of the population aged 65 years and over, 85 years and over, 0 to 15 years, 16 to 64 years, 16 years to State Pension age, State Pension age and over, median age and the Old Age Dependency Ratio (the number of people of State Pension age per 1000 of those aged 16 years to below State Pension age).

This dataset has been produced by the Ageing Analysis Team for inclusion in a subnational ageing tool, which was published in July 2020. The tool enables users to compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a sheet that has 2 maps and an inset map. The first map shows proportion of total population in 65 to 74 and 75 plus age groups for each Census Division in 1986. An inset map shows the same information for the area from Windsor to Quebec. The second map of Canada shows proportion under 15 by Census Division. Population pyramids of age / sex distributions for 1961 and 1986 shown for each province, territory and for Canada.

This layer shows demographic context for senior well-being work. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. The layer is symbolized to show the percentage of population aged 65 and up (senior population). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09021, B17020, B18101, B23027, B25072, B25093, B27010, B28005, C27001B-IData downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

In 2023, the share of the population of Japan above the age of 65 was projected to amount to around ** percent. In contrast, the share of the population older than 65 in Thailand was projected to be about *** percent that year.

In 2025, 24.7 percent of the total population in Italy is estimated to be 65 years and older. According to data, the share of elderly people in the Italian society has been growing constantly since 2009. Consequently, the share of young population experienced a decrease in the last years. As a result, the average age of Italians has risen. In 2011, it was 43.6 years, whereas in 2024 it was estimated to be 46.8 years. The oldest country in Europe Italy and Portugal are the European countries with the largest percentage of elderly citizens. In 2024, 24 percent of the total population was aged 65 years and older. Bulgaria and Finland followed in the ranking, while Azerbaijan had the lowest share of elder population, less than ten percent. An increasingly longer lifespan might provide an explanation for such a high share of citizens over 65 years in Italy. The Republic ranks among the countries with the highest life expectancy worldwide. In Europe, only people in Switzerland and Spain can expect to live longer. Fewer babies than ever The share of young people is getting slimmer, not only because the elderly are living longer than ever before. In fact, Italians are having fewer children compared to previous years. The birth rate in the country has been constantly decreasing: in 2024, only 6.3 babies were born per 1,000 inhabitants, three children less than in 2010. In the south of Italy, in 2023 the birth rate stood at 6.7 infants per 1,000 inhabitants, whereas in central Italy this figure reached only 5.8, the highest and lowest rates in the country, respectively.

Cayman Islands Population: Total: Aged 65 and Above data was reported at 5,608.000 Person in 2022. This records an increase from the previous number of 5,332.000 Person for 2021. Cayman Islands Population: Total: Aged 65 and Above data is updated yearly, averaging 1,651.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 5,608.000 Person in 2022 and a record low of 596.000 Person in 1962. Cayman Islands Population: Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cayman Islands – Table KY.World Bank.WDI: Population and Urbanization Statistics. Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.;Sum;

Elderly literacy rate, population 65+ years, both sexes (%) in China was reported at 84.95 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Elderly literacy rate, population 65+ years, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 2020, about 17.9 percent of the population in China had been 60 years and older. This share is growing rapidly and was estimated to reach 40 percent by 2050. China's aging population With China’s boomer generation growing old and life expectancy increasing at the same time, the number of people at an age of 60 or above nearly doubled between 2000 and 2020 and reached around 255 million. This development is even more pronounced for the age group of 80 and above, which nearly tripled and is expected to reach a size of roughly 132 million in 2050, up from only 32 million in 2020. At the same time, the share of the working-age population is forecasted to decrease gradually from 64 percent of the total population in 2020 to around 50 percent in 2050, which could pose a heavy economic strain on the social security system. The old-age dependency ratio, which denotes the relation of the old-age to the working-age population, is estimated to grow from 18.2 percent in 2020 to more than 50 percent in 2050, implying that by then, statistically, two working-age adults would have to support one elderly. Strain on the social security net During the last 15 years, China's government has successfully increased the coverage of the pension insurance and health insurance. Today, most of the people are covered by some kind of social insurance. Conditions in the pension system are generous, with a regular retirement age for males at 60 years and women at 50 or 55. With the number of retirees increasing quickly, the social insurance system is now under pressure. From an economic point of view, improving the productivity of China's economy would be the primary choice for mitigating alleged inconsistencies of the system. However, without increasing the burden on the working people while tightening payment conditions, balancing the social security net could prove to be challenging.

For more than three decades UCSUR has documented the status of older adults in the County along multiple life domains. Every decade we issue a comprehensive report on aging in Allegheny County and this report represents our most recent effort. It documents important shifts in the demographic profile of the population in the last three decades, characterizes the current status of the elderly in multiple life domains, and looks ahead to the future of aging in the County. This report is unique in that we examine not only those aged 65 and older, but also the next generation old persons, the Baby Boomers. Collaborators on this project include the Allegheny County Area Agency on Aging, the United Way of Allegheny County, and the Aging Institute of UPMC Senior Services and the University of Pittsburgh.

The purpose of this report is to provide a comprehensive analysis of aging in Allegheny County. To this end, we integrate survey data collected from a representative sample of older county residents with secondary data available from Federal, State, and County agencies to characterize older individuals on multiple dimensions, including demographic change and population projections, income, work and retirement, neighborhoods and housing, health, senior service use, transportation, volunteering, happiness and life satisfaction, among others. Since baby boomers represent the future of aging in the County we include data for those aged 55-64 as well as those aged 65 and older.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

This paper explores how Japan’s aging population impacts the politics of monetary policy. Previous research suggest that the elderly have a variety of distinct policy preferences. Given that elderly voters also have higher voting rates, the rapid greying of the population could have significant effects on distributive struggles over economic policy across much of the developed world. In Japan, aging is advancing rapidly, and the central bank has engaged in massive monetary stimulus to induce inflation, which existing work suggests the elderly should oppose. Analyzing results from three surveys, this paper has three central findings: (1) the elderly tend to have higher inflation aversion, (2) the elderly display some opposition to quantitative easing (QE), and (3) despite such policy preferences, the concentration of elderly in electoral districts has no significant effect on the preferences either of legislative incumbents or candidates. The third finding is attributable to the fact that elderly opposition to quantitative easing is moderated by their partisan identification. Elderly Liberal Democratic Party voters have systematically lower opposition to quantitative easing, likely reflecting that these voters have aligned their preferences with the LDP’s policies.

Elderly literacy rate, population 65+ years, male (%) in Burkina Faso was reported at 19.38 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Burkina Faso - Elderly literacy rate, population 65+ years, male - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Elderly literacy rate, population 65+ years, male (%) in Uganda was reported at 65.91 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Uganda - Elderly literacy rate, population 65+ years, male - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

US: Population: Total: Aged 65 and Above data was reported at 50,204,174.000 Person in 2017. This records an increase from the previous number of 48,612,690.000 Person for 2016. US: Population: Total: Aged 65 and Above data is updated yearly, averaging 30,722,814.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 50,204,174.000 Person in 2017 and a record low of 16,487,378.000 Person in 1960. US: Population: Total: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

The dataset detailing the top 10 countries with aging populations aged 65 and above, including demographic statistics and figures of aging populations.

About this dataset

Context

The dataset tabulates the Salado population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Salado. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,163 (50.74% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Salado population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Salado is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Salado 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 Salado Population by Age. You can refer the same here

Somalia SO: Population: Female: Aged 65 and Above data was reported at 207,259.000 Person in 2017. This records an increase from the previous number of 200,281.000 Person for 2016. Somalia SO: Population: Female: Aged 65 and Above data is updated yearly, averaging 115,744.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 207,259.000 Person in 2017 and a record low of 46,162.000 Person in 1960. Somalia SO: Population: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.