Between 2001 and 2023, the population of Toronto, in the Canadian province of Ontario, increased by around ** percent. Indeed, the metropolis's inhabitants were about *** million in 2001, and more than *** million two decades later.In 2023, Toronto was the largest metropolitan area in Canada in terms of population, ahead of Montreal and Vancouver.

In 2022, more than half of the population (about ** percent) of the city of Toronto, in the province of Ontario, Canada, was between the ages of 20 and 60 years old. The largest age group was 25-34, with over *********** individuals.In 2022, Toronto was the largest metropolitan area in Canada in terms of population, ahead of Montreal, Quebec, and Vancouver, British Columbia.

About this dataset

Context

The dataset tabulates the Toronto population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Toronto across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Toronto was 196, a 1.51% decrease year-by-year from 2022. Previously, in 2022, Toronto population was 199, an increase of 1.53% compared to a population of 196 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Toronto decreased by 0. In this period, the peak population was 212 in the year 2012. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Toronto is shown in this column.
• Year on Year Change: This column displays the change in Toronto population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Toronto Population by Year. You can refer the same here

Within two decades, the female population of the city of Toronto, in the Canadian province of Ontario, increased by around ** percent, and the male population by more than ** percent. Indeed, there were about **** million women and *** million men in Toronto in 2001, and four million women and **** million men in 2022. In 2022, Toronto was the largest metropolitan area in Canada in terms of population, ahead of Montreal, Quebec, and Vancouver, British Columbia.

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

In 2022, in Toronto, in the Canadian province of Ontario, **** percent of the population with employment income earned less than ***** Canadian dollars, while those earning more than 100,000 Canadian dollars represented **** percent of the population.In 2023, there were more than *** million people employed in Toronto, and the industry that employed the largest number of people was wholesale and retail trade.

About this dataset

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, SD was for the group of age 10 to 14 years years with a population of 45 (16.54%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Toronto, SD was the 20 to 24 years years with a population of 3 (1.10%). 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 groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Toronto is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Toronto total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Toronto Population by Age. You can refer the same here

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

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.

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

The data set contains registered vehicle population count by various criteria such as vehicle class, vehicle status, vechicle make, vehicle model, vehicle year, plate class, plate declaration, county, weight related class and other vehicle decriptors.

About this dataset

Context

The dataset tabulates the data for the Toronto, SD 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Toronto, SD, is 62.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Toronto, SD, is 46.9.
• Total dependency ratio for Toronto, SD is 109.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Toronto, SD is 2.1.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Toronto population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Toronto for the selected age group is shown in the following column.
• Population (Female): The female population in the Toronto for the selected age group is shown in the following column.
• Total Population: The total population of the Toronto for the selected age group 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 Toronto Population by Age. You can refer the same here

Over the past twenty years, the number of police officers per 100,000 population in Toronto, in the Canadian province of Ontario, has fluctuated. This rate overall increased between 2000 and 2010, from *** to *****, and then declined quite remarkably, reaching ***** in 2019. By 2023, the rate of police officers had risen slightly, to *****. That same year, Toronto was the city that employed the highest number of police officers in Canada.

About this dataset

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): 84% are white, 2% are American Indian and Alaska Native and 14% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Toronto
• Population: The population of the racial category (excluding ethnicity) in the Toronto is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Toronto total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Toronto Population by Race & Ethnicity. You can refer the same here

Since 2001, the number of immigrants arriving in the city of Toronto, in the Canadian province of Ontario, has been fluctuating, but overall increasing. There were slightly more than 123,000 people immigrating to the city in 2001, compared to almost 160,000 twenty years later.
Toronto is the Canadian city with the highest number of immigrants arriving, followed by Vancouver.

In 2023, the city of Toronto, in the Canadian province of Ontario had a workforce of over *** million. The industry that employed the most people was wholesale and retail trade, with over ******* people employed, followed by professional, scientific, and technical services. The industries that employed the fewest people were agriculture, forestry, fishing, mining, quarrying, and oil and gas extraction.

About this dataset

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 123 (45.22% 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 Toronto population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Toronto is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Toronto 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 Toronto Population by Age. You can refer the same here

February sales in the Greater Toronto Area (GTA) were down substantially from the pre-rate hike levels of early 2022. However, the number of new listings also dropped substantially year-over-year. The result was that the average selling price and MLS® HPI continued to level off after trending lower through the spring and summer of last year. “It has been almost a year since the Bank of Canada started raising interest rates. Home prices have dropped over the last year from the record peak in February 2022, mitigating the impact of higher borrowing costs. Many homebuyers have also decided to purchase a lower priced home to help offset higher borrowing costs. The share of home purchases below one million dollars is up substantially compared to this time last year,” said Toronto Regional Real Estate Board (TRREB) President Paul Baron. GTA REALTORS® reported 4,783 sales through TRREB’s MLS® System in February 2023 – down 47 per cent compared to February 2022, the last full month before the onset of interest rate hikes. The number of new listings entered into the system was down by a similar annual rate of 40.9 per cent to 8,367. “New listings continued to drop year-over-year in the GTA. Recently released Ipsos polling suggests buying intentions have picked up for 2023. This increased demand will run up against a constrained supply of listings and lead to increased competition between buyers. This will eventually lead to renewed price growth in many segments of the market, especially those catering to first-time buyers facing increased rental costs,” said TRREB Chief Market Analyst Jason Mercer. The average selling price for February 2023 was $1,095,617 – down 17.9 per cent compared to February 2022. Some of this decline is attributable to the fact that the share of sales below $1,000,000 was 57 per cent in February 2023 versus only 38 per cent a year earlier. On a monthly basis, the average price followed the regular seasonal trend, increasing relative to January 2023. The MLS® Home Price Index (HPI) Composite Benchmark was down year-over-year by a similar annual rate of 17.7 per cent, but was also up on a monthly basis. “As we move toward a June mayoral by-election in Toronto, housing supply will once again be front and centre in the policy debate. New and innovative solutions, including the City of Toronto’s initiative to allow duplexes, triplexes and fourplexes in all neighbourhoods citywide, need to come to fruition if we are to achieve an adequate and diverse housing supply that will support record population growth in the years to come,” said TRREB Chief Executive Officer John DiMichele.

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.

The Canadian real estate services market, valued at $29.43 billion in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.00% from 2025 to 2033. This growth is fueled by several key drivers. The increasing urbanization in major Canadian cities like Toronto and Vancouver, coupled with a burgeoning population and sustained economic activity, is driving demand for residential and commercial properties. Consequently, the need for comprehensive real estate services, encompassing property management, valuation, and other specialized offerings, is significantly escalating. Furthermore, the rising complexity of real estate transactions and the growing preference for professional expertise are boosting the market's trajectory. Technological advancements, including the adoption of property management software and online platforms, are streamlining operations and improving efficiency within the sector. However, potential restraints include fluctuations in interest rates which can impact market activity and the ongoing supply chain challenges affecting construction timelines. Market segmentation reveals a diverse landscape. The residential segment dominates, driven by consistent population growth and ongoing demand for housing. The commercial sector demonstrates steady growth, fuelled by expansion in key economic sectors. Within service types, property management accounts for a significant portion, reflecting the increased reliance on professional management for both residential and commercial properties. Valuation services are also experiencing substantial growth, supported by rising transaction values and regulatory requirements. Key players such as Colliers International Group Inc, Cushman & Wakefield ULC, and FirstService Corporation are actively shaping the market landscape through strategic acquisitions, technological integration, and expansion into new service offerings. While the provided data focuses on the Canadian market, the overall positive trends suggest that this upward growth trajectory is likely to continue throughout the forecast period, assuming continued economic stability and controlled inflation. Recent developments include: July 2023: Cadillac Fairview announced that the company has successfully implemented its CF Concierge Platform at 27 office complexes across its Canadian portfolio. Developed in partnership with HqO, the leading workplace experience platform, CF Concierge is a mobile app designed to support building occupants with an enhanced workplace experience, offering access to digital amenities and services in CF office buildings., March 2023: Toronto-based Cadillac Fairview purchased Lincoln Property Company’s residential division. Cadillac Fairview has owned 49 percent of Lincoln’s residential division since 2019. This acquisition comes as Lincoln Residential CEO Tim Byrne is retiring, and Cadillac is looking to expand its portfolio. Byrne and Lincoln Property founder Mack Pogue will retain a 5 percent stake in the residential division. For Cadillac, the acquisition extends its trend of playing a heavy hand in Dallas real estate.. Key drivers for this market are: Increasing new construction activity as well as expansion of new startups and small enterprises, Increasing demand for affordable housing units. Potential restraints include: Increasing new construction activity as well as expansion of new startups and small enterprises, Increasing demand for affordable housing units. Notable trends are: Increasing Contribution to GDP from the Real Estate Sector to Provide Opportunities.