In 2024, Monaco was the country with the highest percentage of the total population that was over the age of 65, with ** percent. Japan had the second highest with ** percent, while Portugal and Bulgaria followed in third with ***percent.

In 2024, Italy and Portugal were the European countries with the largest share of elderly population, with ** percent of the total population aged 65 years and older. Bulgaria, Finland, and Greece were the countries with the next highest shares of elderly people in their population, while the European Union on average had **** percent of the population being elderly. Iceland, Ireland, and Luxembourg had around ** percent of their population being elderly, while Türkiye and Azerbaijan had around ** percent.

The average for 2023 based on 196 countries was 10.17 percent. The highest value was in Monaco: 36.36 percent and the lowest value was in Qatar: 1.57 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

In 2050, the three East Asian countries Hong Kong (SAR of China), South Korea, and Japan are forecasted to have the highest share of people aged 65 years or more. Except for Kuwait, all the countries on the list are either in Europe or East Asia. By 2050, 22 percent of the world's population is expected to be above 60 years.

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.

Taiwan, Japan, South Korea, the United States, the United Kingdom, Germany, France, Norway, Sweden, the Netherlands, Switzerland, Austria, Italy, and Spain, and other countries, the historical and future estimated values of the proportion of the population aged 65 and over.

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

In Japan, ** percent of the population was 65 years or older in 2024, underlining the aging population of the country. Among the G7, Germany and Italy had a higher share of people aged 65 years or more than of the inhabitants aged zero to 19 years. The United States had the highest share of children and youth between zero and 19 years at nearly ** percent.

About this dataset

Context

The dataset tabulates the Town And Country 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 Town And Country. 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 6,050 (52.13% 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 Town And Country population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Town And Country is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Town And Country 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 Town And Country Population by Age. You can refer the same here

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.

We assess the potential impact of international migration on population ageing in Asian countries by estimating replacement migration for the period 2022-2050.

This open data deposit contains the code (R-scripts) and the datasets (csv-files) for the replacement migration scenarios and a zero-migration scenario:

• Constant chronological old-age dependency ratio (Constant OADR scenario)
• Constant prospective old-age dependency ratio (Constant POADR scenario)
• Constant chronological working-age population (Constant WA scenario)
• Constant prospective working-age population (Constant PWA scenario)
• Zero-migration (ZM scenario)

Countries included in the analysis: Armenia, China, Georgia, Hong Kong, Japan, Macao, North Korea, Singapore, South Korea, Taiwan, Thailand.

Please note that for Armenia and Hong Kong (2023) and Georgia (2024) later baseline years are applied due to the UN country-specific assumptions on post-Covid-19 mortality.

For detailed information about the scenarios and parameters:

Dörflinger, M., Potancokova, M., Marois, G. (2024): The potential impact of international migration on prospective population ageing in Asian countries. Asian Population Studies. https://doi.org/10.1080/17441730.2024.2436201

All underlying data (UN World Population Prospects 2022) are openly available at:

https://population.un.org/wpp/Download/Archive

Code

1_Data.R:

• Load and merge data from UN World Population Prospects 2022
• Define sample
• Prepare data (prospective old-age thresholds, model sex and age pattern of migrants)

2_Scenarios.R:

• Replacement migration scenarios:
  • Constant chronological old-age dependency
  • Constant prospective old-age dependency
  • Constant chronological working-age population
  • Constant prospective working-age population
• Zero-migration scenario

3_Robustness_checks.R:

• Run replacement migrations scenarios with different model sex and age patterns for net migration

Program version used: RStudio "Chocolate Cosmos" (e4392fc9, 2024-06-05). Files may not be compatible with other versions.

Datasets

The datasets contain the key information on population size, the relevant indicators (OADR, POADR, WA, PWA) and replacement migration volumes and rates by country and year. Please see readme_datasets.txt for detailed information.

Acknowledgements

Part of the research was developed in the Young Scientists Summer Program at the International Institute for Applied Systems Analysis, Laxenburg (Austria) with financial support from the German National Member Organization.

Graph and download economic data for Population ages 65 and above for OECD Members (SPPOP65UPTOZSOED) from 1960 to 2024 about OECD Economies, 65-years +, and population.

About this dataset

Context

The dataset tabulates the Country Life Acres 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 Country Life Acres. 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 38 (47.50% 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 Country Life Acres population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Country Life Acres is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Country Life Acres 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 Country Life Acres Population by Age. You can refer the same here

Australia Population: as % of Total: Female: Aged 65 and Above data was reported at 18.401 % in 2023. This records an increase from the previous number of 18.055 % for 2022. Australia Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 12.880 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 18.401 % in 2023 and a record low of 9.726 % in 1971. Australia Population: as % of Total: 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 Australia – Table AU.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;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.

Japan JP: Population: Total: Aged 65 and Above data was reported at 34,293,754.000 Person in 2017. This records an increase from the previous number of 33,735,537.000 Person for 2016. Japan JP: Population: Total: Aged 65 and Above data is updated yearly, averaging 13,829,440.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 34,293,754.000 Person in 2017 and a record low of 5,199,270.000 Person in 1960. Japan JP: 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 Japan – Table JP.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;

Elderly Dating Platform Market Outlook

The global elderly dating platform market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.0% during the forecast period. This remarkable growth can be attributed to the increasing adoption of digital platforms by the elderly population, combined with rising social acceptance and the desire for companionship among senior citizens.

One of the primary growth factors driving the elderly dating platform market is the growing elderly population worldwide. As the global population ages, the number of people aged 60 and above continues to rise, leading to a higher demand for social interaction and companionship. This demographic shift is particularly pronounced in regions such as North America and Europe, where life expectancy is higher and the proportion of elderly individuals is significant. Furthermore, technological advancements and increased internet penetration have made it easier for older adults to access online services, including dating platforms.

Another significant growth factor is the changing societal attitudes towards dating and relationships among the elderly. In the past, seniors were often perceived as asexual or uninterested in romantic relationships. However, this perception is rapidly changing as more elderly individuals seek companionship and romantic connections. The increasing acceptance of online dating as a legitimate and safe means of meeting potential partners has also contributed to the market's growth. Media portrayals and success stories of elderly couples who met online have further normalized the concept, encouraging more seniors to explore online dating options.

The convenience and accessibility of elderly dating platforms are also major factors driving market growth. These platforms offer user-friendly interfaces, personalized matchmaking algorithms, and a wide range of features tailored to the needs and preferences of older adults. For instance, many platforms provide safety features such as background checks and privacy controls to ensure a secure and comfortable dating experience. Additionally, the availability of mobile apps has made it easier for seniors to connect with potential partners on the go, further boosting the market's expansion.

The emergence of the Online Love Rush phenomenon has significantly influenced the elderly dating platform market. This trend highlights the increasing enthusiasm among seniors to explore romantic relationships through digital means. The Online Love Rush is characterized by a surge in online interactions and connections, driven by the convenience and accessibility of modern technology. For many elderly individuals, this represents a new avenue to rediscover companionship and love, often leading to meaningful and lasting relationships. As more seniors become comfortable with digital communication, the Online Love Rush is expected to continue shaping the dynamics of the dating market, encouraging platforms to innovate and cater to this growing demographic.

From a regional perspective, North America and Europe are currently the largest markets for elderly dating platforms, driven by a high percentage of the elderly population and widespread internet access. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period. This is due to the rapidly aging population in countries like Japan and China, coupled with increasing internet penetration and the growing acceptance of online dating. Latin America and the Middle East & Africa regions also present significant growth opportunities, albeit at a slower pace, as internet accessibility and societal attitudes towards online dating continue to evolve.

Service Type Analysis

The elderly dating platform market can be segmented by service type into four main categories: online dating, mobile dating, matchmaking services, and social dating. Each service type caters to different preferences and technological comforts of the elderly demographic. Online dating platforms have traditionally been the most popular, offering a wide range of features such as profile creation, search filters, and messaging services. These platforms are often accessed through desktop computers, making them suitable for older adults who may not be as comfortable using smartphones.

Mobile dating platforms, on the other h

The G7 countries are facing aging populations in the coming decades. This is especially the case in Italy and Japan, where over 37 percent of the population was forecast to be 65 years or older by 2050. By 2050, all G7 countries are predicted to have a higher share of people above 65 years than people between zero and 19 years. Japan, Italy, as well as Germany already had a higher share of older population than children and youth in 2024.

This dataset was created to support the 2016 DIA (Related publication only available in Spanish). The accelerated aging process that countries in Latin America and the Caribbean are undergoing imposes unprecedented pressures on the long-term care sector. In this context, the growing demand for care from the elderly population occurs alongside a reduction in the availability of informal care. Governments in the region must prepare to address these pressures by supporting the provision of care services to alleviate social exclusion in old age. The Inter-American Development Bank has created an Observatory on Aging and Care — the focus of this policy brief — aimed at providing decision-makers with information to design policies based on available empirical evidence. In this initial phase, the Observatory seeks to document the demographic situation of countries in the region, the health of their elderly population, their limitations and dependency status, as well as their main socioeconomic characteristics. The goal is to estimate the care needs countries in the region will face. This brief summarizes the key findings from an initial analysis of the data. The results highlight the scale of the problem. The figures speak for themselves: in the region, 11% of the population aged 60 and older is dependent. Both the magnitude and intensity of dependency increase with age. Women are the most affected across all age groups. This policy brief is part of a series of studies on dependency care, including works by Caruso, Galiani, and Ibarrarán (2017); Medellín et al. (2018); López-Ortega (2018); and Aranco and Sorio (2018).

Graph and download economic data for Working Age Population: Aged 15-64: All Persons for the Euro Area (19 Countries) (LFWA64TTEZQ647S) from Q1 2005 to Q4 2022 about working-age, 15 to 64 years, Euro Area, Europe, and population.

About this dataset

Context

The dataset tabulates the Country Club Hills 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 Country Club Hills. 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 633 (62.24% 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 Country Club Hills population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Country Club Hills is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Country Club Hills 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 Country Club Hills Population by Age. You can refer the same here