Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset of population level and growth rate for the Toronto, Canada metro area from 1950 to 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Toronto 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 Toronto. 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 37 (53.62% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Age. You can refer the same here
Comprehensive demographic dataset for Toronto, ON, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Toronto, KS, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.
Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.
Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.
Comprehensive demographic dataset for Toronto, OH, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Toronto by race. It includes the population of Toronto across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Toronto across relevant racial categories.
Key observations
The percent distribution of Toronto population by race (across all racial categories recognized by the U.S. Census Bureau): 95.65% are white and 4.35% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Toronto by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Toronto across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of male population, with 56.0% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Race & Ethnicity. You can refer the same here
Comprehensive demographic dataset for Yulan, , NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Bethel, , NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Toronto, OH population pyramid, which represents the Toronto 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Age. You can refer the same here
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The Canadian commercial real estate market, valued at $77.09 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 7.59% from 2025 to 2033. This expansion is driven by several key factors. Firstly, Canada's strong economy and increasing population fuel demand for office, retail, and industrial spaces. Urbanization and population growth, particularly in major cities like Toronto, Vancouver, and Calgary, are significant contributors. Furthermore, ongoing investments in infrastructure and technological advancements are enhancing the attractiveness of commercial properties. The growth is segmented across various property types, with office spaces benefiting from a return to the workplace following the pandemic, and the industrial sector experiencing sustained growth fueled by e-commerce expansion and supply chain optimization initiatives. The hospitality sector is also poised for recovery, driven by increased tourism and business travel. However, the market is not without its challenges. Rising interest rates and inflation present significant headwinds, impacting construction costs and potentially reducing investment activity. Government regulations and environmental concerns related to sustainable development also influence market dynamics. Competition among developers and brokerage firms remains intense, impacting pricing and profitability. Despite these restraints, the long-term outlook for the Canadian commercial real estate market remains positive, driven by fundamental economic strengths and a growing population. Strategic investments in key areas, such as sustainable building practices and technological integrations, will be crucial for developers and investors to succeed in this evolving landscape. The diverse market segments, from office towers to industrial parks, each offer unique opportunities for growth and investment within the Canadian commercial real estate sector. Recent developments include: June 2023: Prologis, Inc. and Blackstone announced a definitive agreement for Prologis to acquire nearly 14 million square feet of industrial properties from opportunistic real estate funds affiliated with Blackstone for USD 3.1 billion, funded by cash. The acquisition price represents an approximately 4% cap rate in the first year and a 5.75% cap rate when adjusting to today's market rents., May 2023: An experiential real estate investment trust, VICI Properties Inc., announced that it had signed agreements to buy the real estate assets of Century Casinos, Inc.'s Century Downs Racetrack and Casino in Calgary, Alberta, Century Casino St. Albert in Edmonton, Alberta, and Century Casino St. Albert in St. Albert, Alberta, for a total purchase price of USD 164.7 million. This move demonstrates both their continued drive to grow abroad and their faith in the Canadian gaming industry. They are also excited to assist Century's asset monetization strategy, which will open up new opportunities for their cooperation.. Key drivers for this market are: Evolution of retail sector driving the market, Office spaces in Toronto and Vancouver are increasing. Potential restraints include: Evolution of retail sector driving the market, Office spaces in Toronto and Vancouver are increasing. Notable trends are: Evolution of retail sector driving the market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Toronto population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Toronto. The dataset can be utilized to understand the population distribution of Toronto by age. For example, using this dataset, we can identify the largest age group in Toronto.
Key observations
The largest age group in Toronto, KS was for the group of age 75 to 79 years years with a population of 28 (11.20%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Toronto, KS was the 20 to 24 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Age. You can refer the same here
Comprehensive demographic dataset for Mohican Lake, , NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
Comprehensive demographic dataset for Pond Eddy, , NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
This table provides quarterly estimates of the number of non-permanent residents by type for Canada, provinces and territories.
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
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The Canada Residential Real Estate Market, valued at approximately $1.2 trillion CAD in 2025, is projected to experience steady growth, with a Compound Annual Growth Rate (CAGR) of 3.20% from 2025 to 2033. This growth is driven by several key factors, including a growing population, particularly in urban centers like Toronto and Vancouver, increasing household incomes, and persistently low interest rates (though this factor is subject to change based on economic conditions). Furthermore, a continued preference for homeownership among Canadians, coupled with limited housing supply in many desirable locations, contributes to sustained demand. While challenges such as affordability concerns and potential interest rate hikes pose restraints, strong immigration and economic fundamentals underpin the positive outlook for the market. The market is segmented by property type (single-family homes, condominiums, townhouses), location (urban, suburban, rural), and price range, offering diverse investment opportunities for developers and investors alike. Major players like Aquilini Development, Century 21 Canada, Bosa Properties, and Brookfield Asset Management are shaping the market landscape through significant projects and investments. The forecast period (2025-2033) anticipates a gradual increase in market value, influenced by both economic conditions and governmental policies affecting housing affordability and construction. While fluctuations are expected, the long-term projections indicate consistent market expansion, driven by Canada's demographic trends and economic strength. Analyzing regional variations is crucial, as certain provinces and cities may experience more rapid growth than others, depending on local economic conditions, employment rates, and government regulations. Continuous monitoring of these factors is essential for accurate market forecasting and informed investment decisions. The projected market size in 2033, based on the provided CAGR, will represent a substantial increase in the total value of the Canadian residential real estate sector. Key drivers for this market are: Population Growth is the main driving factor, Government Initiatives and Regulatory Aspects for the Residential Real Estate Sector. Potential restraints include: Housing Supply Shortage, Interest rates and Financing. Notable trends are: Immigration Policies are Driving the Market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset of population level and growth rate for the Toronto, Canada metro area from 1950 to 2025.