Chart and table of population level and growth rate for the Montreal, Canada metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

About this dataset

Context

The dataset tabulates the Montreal 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 Montreal. The dataset can be utilized to understand the population distribution of Montreal by age. For example, using this dataset, we can identify the largest age group in Montreal.

Key observations

The largest age group in Montreal, WI was for the group of age 60 to 64 years years with a population of 76 (9.50%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Montreal, WI was the 85 years and over years with a population of 7 (0.88%). 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 Montreal is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Montreal 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 Montreal Population by Age. You can refer the same here

In 2048, the population in Manitoba is projected to reach about 1.84 million people. This is compared to a population of 1.46 million people in 2024.

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

About this dataset

Context

The dataset tabulates the population of Montreal by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Montreal across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 50.75% of total population being male. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Montreal is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Montreal 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 Montreal Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Montreal, WI population pyramid, which represents the Montreal 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 Montreal, WI, is 31.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Montreal, WI, is 28.3.
• Total dependency ratio for Montreal, WI is 59.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Montreal, WI is 3.5.

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

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

About this dataset

Context

The dataset tabulates the Montreal 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 Montreal. 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 466 (58.25% 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 Montreal population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Montreal is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Montreal 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 Montreal Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Montreal by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Montreal. The dataset can be utilized to understand the population distribution of Montreal by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Montreal. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Montreal.

Key observations

Largest age group (population): Male # 45-49 years (50) | Female # 40-44 years (54). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Montreal population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Montreal is shown in the following column.
• Population (Female): The female population in the Montreal is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Montreal for each age group.

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 Montreal Population by Gender. You can refer the same here

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.

The average price for a house in Quebec stood at approximately 522,828 Canadian dollars in 2024 and was set to increase slightly in the next two years. In 2025, the average price is forecast to reach 566,620 Canadian dollars. Meanwhile, the national average house price was forecast to pick up in 2025. Compared to other provinces, Quebec was the third-most expensive province to buy housing in Canada, after British Columbia and Ontario. Quebec Located on the eastern side of Canada, Quebec had an estimated population of almost nine million people in 2023. It is the second most populated province in Canada, and the second-largest by land size, as it is three times the size of Texas. The largest city in Quebec is Montreal, which is close to the Vermont border in the United States. The median total family income in Quebec has been steadily rising since 2000. Housing Prices in Canada Housing prices in Canada vary province to province. The most expensive average house price was in British Columbia in 2024. Vancouver, the most populated city in British Columbia, is known for its high-priced real estate market. However, housing prices all over Canada have increased in the past couple of years.

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 ...).

International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuses. The estimates are derived from the data on foreign-born population--people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population--that is, people who are citizens of a country other than the country in which they reside--are used as estimates. After the breakup of the Soviet Union in 1991 people living in one of the newly independent countries who were born in another were classified as international migrants. Estimates of migrant stock in the newly independent states from 1990 on are based on the 1989 census of the Soviet Union. For countries with information on the international migrant stock for at least two points in time, interpolation or extrapolation was used to estimate the international migrant stock on July 1 of the reference years. For countries with only one observation, estimates for the reference years were derived using rates of change in the migrant stock in the years preceding or following the single observation available. A model was used to estimate migrants for countries that had no data.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Montreal by race. It includes the distribution of the Non-Hispanic population of Montreal across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Montreal across relevant racial categories.

Key observations

Of the Non-Hispanic population in Montreal, the largest racial group is White alone with a population of 727 (92.85% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the Montreal
• Population: The population of the racial category (for Non-Hispanic) in the Montreal is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Montreal total Non-Hispanic 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 Montreal Population by Race & Ethnicity. You can refer the same here

The average price for a house in Quebec stood at approximately 487,000 Canadian dollars in 2023 and was set to increase slightly in the next two years. In 2025, the average price is forecast to reach 512,000 Canadian dollars. Meanwhile, the national average house price was forecast to pick up in 2025. Compared to other provinces, Quebec was the third-most expensive province to buy housing in Canada, after British Columbia and Ontario. Quebec Located on the eastern side of Canada, Quebec had an estimated population of almost nine million people in 2022. It is the second most populated province in Canada, and the second-largest by land size, as it is three times the size of Texas. The largest city in Quebec is Montreal, which is close to the Vermont border in the United States. The median total family income in Quebec has been steadily rising since 2000. Housing Prices in Canada Housing prices in Canada vary province to province. The most expensive average house price was in British Columbia in 2022. Vancouver, the most populated city in British Columbia, is known for its high-priced real estate market. However, housing prices all over Canada have increased in the past couple of years.

People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

Chart and table of Canada life expectancy from 1950 to 2025. United Nations projections are also included through the year 2100.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Montreal. The dataset can be utilized to gain insights into gender-based income distribution within the Montreal population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Montreal, among individuals aged 15 years and older with income, there were 295 men and 298 women in the workforce. Among them, 164 men were engaged in full-time, year-round employment, while 144 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.22% fell within the income range of under $24,999, while 16.67% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.90% of men in full-time roles earned incomes exceeding $100,000, while 2.08% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Montreal median household income by race. 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.

The Canadian residential real estate market, valued at approximately $XX million 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 factors, including a growing population, particularly in major urban centers like Toronto, Vancouver, and Montreal, increasing urbanization, and a persistent demand for housing across various segments, from apartments and condominiums to villas and landed houses. Strong immigration numbers and a relatively robust economy contribute to sustained demand, although affordability concerns, particularly in high-density areas, represent a significant challenge. Government policies aimed at addressing housing affordability and supply shortages will play a crucial role in shaping the market's trajectory in the coming years. Competition among major developers like Aquilini Development, Bosa Properties, and Brookfield Asset Management, along with numerous smaller players, will continue to influence pricing and innovation within the sector. The market segmentation reveals significant regional disparities. Toronto, Vancouver, and Montreal consistently dominate the market share due to their economic dynamism and population density. However, cities like Calgary and Ottawa also contribute substantially, reflecting regional economic variations and the distribution of population growth across the country. While the apartment and condominium segment holds a considerable share, the demand for villas and landed houses remains significant, particularly in suburban and rural areas. The forecast period anticipates continued growth, but at a moderated pace compared to previous periods of rapid expansion, reflecting a more balanced market characterized by increasing affordability concerns and adjustments in government regulations. The consistent presence of established players and emerging developers indicates a dynamic and competitive landscape. Recent developments include: October 2022: Dye & Durham Limited ("Dye & Durham") and Lone Wolf Technologies ("Lone Wolf") have announced a brand-new integration that was created specifically for CREA WEBForms powered by Transactions (TransactionDesk Edition) to enable access to and communication with legal services., September 2022: ApartmentLove Inc., based in Calgary, has recently acquired OwnerDirect.com and finalized a rental listing license agreement with a significant U.S. aggregator as part of its ongoing acquisition and partnership plans. In 30 countries, ApartmentLove (APLV-CN) offers online house, apartment, and vacation rental marketing services.. 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.