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

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.

Over the past two decades, the share of people over 65 years of age has been steadily increasing in Canada. Indeed, in 2000, 12.55 percent of the Canadian population were seniors, while in 2022, they represented 18.83 percent of the population. In the same year, there were approximately 3.95 million women and 3.38 million men over the age of 65 in Canada.

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

This statistic shows the total number of seniors in Canada in 2020, distinguished by province and age group. In 2020, 2.52 million people aged 65 years and over were living in Ontario.

Population aged 15 years and older providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and main activity of respondent, 2012.

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.

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.

Number and percentage of persons for healthy aging indicators, by age group and sex, for 2008/2009 only.

About this dataset

Context

The dataset tabulates the Little Canada 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 Little Canada. 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 - 64 years with a poulation of 6,854 (64.03% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Little Canada population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Little Canada is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Little Canada 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 Little Canada Population by Age. You can refer the same here

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

Population aged 15 years and older providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and age group, 2012.

In order to better understand the public’s understanding and expectations of the retirement income system, the department of Human Resources and Skills Development commissioned Ipsos Reid to conduct quantitative opinion research among Canadians. This research was designed to provide a snapshot of current understanding of retirement-income related issues. Ipsos Reid fielded a questionnaire written by HRSDC and performed data analysis to provide a weighted representation of the general public. The methodology for this quantitative portion of this study involved a large-scale national telephone survey with a sample of 2,500 Canadians to allow for significant regional, demographic and attitudinal breakouts. A custom CATI telephone survey was conducted among Canadians aged 18 and older, sampled using random digit dialling. The average survey length was 10 minutes.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census. Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care. Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living. Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living. Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens. Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

Population providing care to a family member or friend with a long-term illness, disability or aging needs, by sex and age group

This layer displays the density of seniors aged 65 and over in Canada from the 2021 census at the Province, Census Division (CD), Census Subdivision (CSD), and Dissemination Area (DA) levels obtained from Statistics Canada. For more information, refer to the Canadian Age and Gender 2021 dataset in the Living Atlas.

Family characteristics of seniors by total income statistics for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes age of seniors, housing indicators, tenure including presence of mortgage payments and subsidized housing, and structural type of dwelling.

This dataset presents information on the median age of the population, a measure used to describe the process of aging in the population, is the age at which half of the population is older, and half is younger.

The General Social Survey has two principal objectives: first, to gather data on social trends in order to monitor changes in Canadian society over time, and second, to provide information on specific social issues of current or emerging interest. The main objective of the 2002 GSS was to provide data on the aging population.This survey collects data on family, social support and retirement for Canadians aged 45 years and over. The purpose of this survey is to better understand the needs and experiences of these Canadians by examining key transitions related to their families, care giving and receiving, work and retirement. This is the second time that the GSS has collected information on social support. Data from the 1996 GSS on "Social and Community Supportrd" focused on caregiving and receiving for the entire population. The 2002 GSS is the first time Statistics Canada has devoted an entire survey to the collection of detailed information on care provided to people aged 65 years and over.

Background: As an established ongoing population-based cohort of over fifty thousand Canadians, the Canadian Longitudinal Study on Aging (CLSA) offered an opportunity to rapidly study COVID-19 immunity in Canada’s aging population. Aims of the CITF co-funded study: CLSA COVID-19 study aimed to measure SARS-CoV-2 seroprevalence and seroconversion among older adults across Canada by province, age, and sex in the first two years of the pandemic (2020 and 2021). They also aimed to better understand the symptoms, risk factors, and impacts of COVID-19 through questionnaires. Methods:The CLSA cohort study enrolled participants aged 45-85 across Canada via random digit dialling. Participants in the tracking cohort comprised a representative sample of Canadians, who completed cognitive tests and answered questionnaires via telephone interview at baseline and at two follow-ups. Those in the comprehensive cohort were selected from a random sample of Canadians, and participated in an at-home physical exam, answered questionnaires, completed cognitive tests, and provided blood and urine samples at baseline and two follow-ups. For participants aged 55-80 in this cohort, they completed repeated cognitive testing and brain scans for brain health surveillance. Participants in all cohorts provided a blood sample for COVID-19 antibody testing and completed a COVID-19 questionnaire. Each participant was contacted every 3 years and was followed for at least 20 years or until death. Summary of the contributed data: The datasets include 19,334 participants who completed baseline surveys between October 2020 and August 2021. 23% of participants gave one or more blood samples between October 2020 and July 2021 for analysis. A total of 4,365 samples were collected. Variables include data in the following areas of information: demographics (age, gender, race-ethnicity and indigeneity, province, household composition, education), general health (smokes, chronic conditions, height and weight, flu vaccine), exposure risk factors (occupation, travel history, adherence to COVID-19 public health guidelines), COVID infection history (positive tests, symptoms, hospitalizations), SARS-CoV-2 vaccination, and qualitative serology (antibodies against SARS-CoV-2 nucleocapsid and spike proteins).