Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

Actual value and historical data chart for Canada Population Ages 65 And Above Percent Of Total

About this dataset

Context

The dataset tabulates the New Canada town 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 New Canada town. 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 165 (40.84% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 New Canada town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in New Canada town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the New Canada town 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 New Canada town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Canadian 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 Canadian. 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 1,413 (60.64% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Canadian population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Canadian is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Canadian 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 Canadian Population by Age. You can refer the same here

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.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

Programs to Assist Seniors. This audit focused on whether Employment and Social Development Canada effectively led the federal government in ensuring that programs were in place to address seniors’ needs, now and as the population continues to age. The audit also focused on whether Statistics Canada provided information to support Employment and Social Development Canada’s efforts to lead federal programming to address seniors’ needs.

Of the G7 countries, Canada, the United Kingdom, and the United States were forecast to have a constant population ******** until 2050. In Japan, Germany, and Italy, the population is forecast to constantly ******* due to aging populations and falling fertility rates. In France, the population was first expected to decline by 2048.

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

Canada CA: Age Dependency Ratio: % of Working-Age Population data was reported at 53.052 % in 2023. This records an increase from the previous number of 52.645 % for 2022. Canada CA: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 47.700 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 71.166 % in 1962 and a record low of 43.973 % in 2007. Canada CA: 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 Canada – Table CA.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.

Canada CA: Age Dependency Ratio: % of Working-Age Population: Old data was reported at 29.628 % in 2023. This records an increase from the previous number of 28.912 % for 2022. Canada CA: Age Dependency Ratio: % of Working-Age Population: Old data is updated yearly, averaging 16.946 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 29.628 % in 2023 and a record low of 12.743 % in 1971. Canada CA: Age Dependency Ratio: % of Working-Age Population: Old data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, old, is the ratio of older dependents--people 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;

Annual population projections, from 2024 to 2051. These datasets include population projections by age and gender organized by geography: * Projections for Ontario * Projections for each of the 6 regions * Projections for each of the 49 census divisions * Projections for each of the 34 public health units * Projections for each of the 9 Ministry of Children, Community and Social Services’ Service Delivery Division (SDD) regions For Ontario only, the projected annual components of demographic change are provided for the reference, low- and high-growth scenarios. For all other geographies, only the reference scenario is produced.

About this dataset

Context

The dataset tabulates the Canadian County 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 Canadian County. 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 95,316 (60.83% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Canadian County population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Canadian County is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Canadian County 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 Canadian County Population by Age. You can refer the same here

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Annual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.

Educational attainment of the population aged 25 to 64, by age group and sex, Organisation for Economic Co-operation and Development (OECD), Canada, provinces and territories. This table is included in Section D: Postsecondary education: Educational attainment of the population aged 25 to 64 of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

About this dataset

Context

The dataset tabulates the Canadian population by age. The dataset can be utilized to understand the age distribution and demographics of Canadian.

Content

The dataset constitues the following three datasets

• Canadian, OK Age Group Population Dataset: A complete breakdown of Canadian age demographics from 0 to 85 years, distributed across 18 age groups
• Canadian, OK Age Cohorts Dataset: Children, Working Adults, and Seniors in Canadian - Population and Percentage Analysis
• Canadian, OK Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

The United States had the largest population of the G7 countries between 2000 and 2023, increasing from 282 million to 335 million. It is also the country with the third highest number of inhabitants in the world. Interestingly, Japan's population has been in decline since 2010, falling from 128 million to 124.5 million. Also Italy's population has been decreasing in recent years. Aging population Both Italy, Germany, and Japan are characterized by an increasingly aging population. In 2023, Japan had the third highest median age worldwide, while Italy and Germany had the fourth and eighth highest, respectively. Despite Germany's high median age and aging population, the number of inhabitants continue to increase because of migration. Falling fertility rates Another reason for the declining populations in Japan and Italy are falling fertility rates. Both countries were among the 20 with the lowest fertility rates in the world in 2024, meaning that women in child-bearing age have fewer children.

Snapshot img

Senior Living Market Size 2025-2029

The senior living market size is forecast to increase by USD 130.9 billion, at a CAGR of 5.8% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 44% growth during the forecast period.
By the Service - Assisted living segment was valued at USD 158.20 billion in 2023
By the Services - Healthcare Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 66.60 billion
Market Future Opportunities: USD 130.90 billion 
CAGR : 5.8%
North America: Largest market in 2023

Market Summary

The market is experiencing significant shifts as the global population ages, with the 60+ demographic projected to reach 1.4 billion by 2030. This demographic trend drives the demand for innovative solutions in long-term care, assisted living, and home health services. Technological advances are transforming senior care, with telehealth, mobile apps, and wearable devices enabling remote monitoring and improved care coordination. However, the sector faces challenges such as staffing shortages and workplace demands, with the US projected to have a shortage of 1.2 million healthcare workers by 2030.
Despite these challenges, the market's continuous evolution offers opportunities for growth, particularly in areas like technology integration, personalized care, and community-based services. The market's future lies in addressing the unique needs of an aging population while overcoming workforce challenges.

What will be the Size of the Senior Living Market during the forecast period?

Explore market size, adoption trends, and growth potential for senior living market Request Free Sample

The market represents a significant and continually evolving sector within the broader healthcare industry. According to recent data, this market experiences a steady growth of approximately 2.5% annually. Furthermore, future projections indicate a continuous expansion, with a projected increase of around 3% per annum. Comparing key numerical data, the senior population aged 65 and above is projected to double by 2050, while the number of senior living facilities is anticipated to grow by nearly 30% between 2020 and 2030. This growth trend is driven by demographic shifts and increasing demand for specialized care and services catering to the elderly population.
In addition, the market encompasses a diverse range of offerings, including assisted living, memory care, and independent living communities. The demand for these services varies, with assisted living experiencing a higher growth rate compared to independent living. This disparity can be attributed to the increasing prevalence of age-related diseases and the need for additional care and support. Despite the growth, challenges remain, including regulatory compliance, risk management, and financial planning. Addressing these challenges requires a multifaceted approach, incorporating elements such as quality assurance, caregiver support, and community engagement. Ultimately, the market represents a dynamic and evolving landscape, presenting both opportunities and challenges for businesses and stakeholders alike.

How is this Senior Living Industry segmented?

The senior living industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Assisted living
  Independent living
  CCRC


Services

  Healthcare Services
  Lifestyle and Wellness Programs
  Dining Services


Technology Integration

  Smart Home Systems
  Health Monitoring Devices
  Safety and Security Systems


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Service Insights

The assisted living segment is estimated to witness significant growth during the forecast period.

The market encompasses a range of services and arrangements designed to cater to the unique needs of aging adults. One significant segment within this market is assisted living, which provides apartment-style dwellings for seniors who require assistance with activities of daily living (ADL), such as bathing, laundry, and medication management. This segment may include specialized memory care units for individuals with cognitive impairments, such as Alzheimer's disease or dementia. These units often feature increased security measures, like extra surveillance equipment and locked doors, due to safety concerns. The number of companies entering this segment is growing, contributing to its expanding presence and potential growth during the forecast period.

Another ess

Senior Living Dining Technology Market Outlook

According to our latest research, the Global Senior Living Dining Technology market size was valued at $1.2 billion in 2024 and is projected to reach $3.8 billion by 2033, expanding at a CAGR of 13.5% during 2024–2033. The primary factor driving this robust growth is the increasing adoption of digital solutions to enhance resident satisfaction and operational efficiency in senior living facilities worldwide. As the aging population continues to rise, operators are investing in advanced dining management technologies to streamline food service operations, improve nutritional outcomes, and deliver personalized dining experiences. The integration of digital ordering, real-time menu management, and automated kitchen workflows is fundamentally transforming food service delivery in senior living environments, setting the stage for sustained market expansion over the next decade.

Regional Outlook

North America currently dominates the Senior Living Dining Technology market, accounting for the largest share of global revenue, with a market value surpassing $500 million in 2024. The region’s leadership is attributed to its mature senior living sector, high penetration of digital infrastructure, and proactive adoption of technology-driven care models. Regulatory frameworks in the United States and Canada support innovation in senior care, while the presence of leading technology vendors accelerates product adoption. North America’s focus on enhancing resident quality of life through customized dining experiences and efficient food service operations has spurred significant investments in point of sale systems, online ordering, and kitchen automation. Large-scale retirement communities and assisted living facilities in the region are early adopters of comprehensive dining technology solutions, further consolidating North America’s market dominance.

The Asia Pacific region is emerging as the fastest-growing market for Senior Living Dining Technology, projected to achieve a CAGR of nearly 17% between 2024 and 2033. This rapid growth is driven by rising investments in senior care infrastructure across countries such as Japan, China, South Korea, and Australia. The region’s expanding elderly population, increasing urbanization, and growing awareness of the benefits of digital dining solutions are fueling demand. Government initiatives aimed at improving elder care standards, coupled with the proliferation of cloud-based and mobile-enabled technologies, are enabling operators to modernize their dining operations. Additionally, the entry of global technology vendors and local startups is fostering innovation and competitive pricing, making advanced dining solutions more accessible to a broader spectrum of senior living providers in the Asia Pacific.

In emerging economies such as those in Latin America, the Middle East, and Africa, the adoption of Senior Living Dining Technology remains nascent but is witnessing gradual progress. Market growth in these regions is hampered by infrastructure challenges, limited digital literacy among staff, and budget constraints faced by smaller operators. However, localized demand for improved resident care, combined with policy reforms aimed at enhancing senior living standards, is opening new avenues for technology providers. Pilot projects, public-private partnerships, and targeted government incentives are helping bridge the adoption gap. As awareness of the benefits of dining technology grows and connectivity infrastructure improves, these emerging markets are expected to contribute increasingly to global market expansion, albeit from a lower base.

Report Scope