In 2021, French was the first language spoken by over 71 percent of the population of Montréal, Québec in Canada. 20.4 percent of the city's residents had English as their first language, 6.7 percent used both English and French as their primary language, and 1.6 percent of the population spoke another language. That same year, 46.4 percent of people living in the province of Québec could speak both English and French.

In 2021, most of the population of the city of Montreal, located in the Canadian province of Quebec, could speak both English and French. In fact, approximately 1.23 million men and 1.68 million women were bilingual. Of those who spoke only one of the official languages, the majority (1.43 million people) spoke only French. In addition, more than 68,400 people did not know either language, with women outnumbering men.

Data on the first official language spoken of the population of Canada and Canada outside Quebec, and of all provinces and territories, for Census years 1971 to 2016.

According to the Canadian government, approximately 2.54 million people residing in Montreal, in the province of Quebec, had French as their mother tongue in 2021. About 474,730 of them had English, the second official language, as their birth language. However, there were more people that year ( 522,255) whose mother tongue was an Indo-European language, such as German, Russian or Polish.

Data on all languages spoken at home by mother tongue, knowledge of official languages, generation status, age and gender for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

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.

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This table contains 47 series, with data for years 1931 - 1971 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Mother tongue (47 items: Total languages; English; French; Baltic languages ...).

For the first time in twenty years, the population of the city of Montreal, located in the Canadian province of Quebec, had declined between 2020 and 2021. The city had indeed lost slightly more than 12,500 male and about 13,200 female inhabitants during this period. In addition, since 2001, the gap between the number of women and men living in Montreal has been narrowing: there were approximately 76,960 more women than men in 2001, compared to 28,930 in 2022. In 2022, Montreal was the second most populous city in the country, behind Toronto, which had approximately 6.7 million inhabitants.

25% sample 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

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 2022, more than half of the population (54.3 percent) of the city of Montreal, located in the Canadian province of Quebec, was aged between 20 and 59 years. The largest age group was 40-44, with over 318,000 individuals.
That same year, Montreal was the second most populous city in the country, behind Toronto, which had approximately 6.6 million inhabitants.

About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

• Montreal, WI Population Breakdown by Gender
• Montreal, WI Population Breakdown by Gender and Age

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/.

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

This paper investigates the influence of the relative size of speech communities on language use in multilingual regions and cities. Due to peoples’ everyday mobility inside a city, it is still unclear whether the size of a population matters for language use on a sub-city scale. By testing the correlation between the size of a population and language use on various spatial scales, this study will contribute to a better understanding of the extent to which sociodemographic factors influence language use. The present study investigates two particular phenomena that are common to multilingual speakers, namely language mixing or Code-Switching and using multiple languages without mixing. Demographic information from a Canadian census will make predictions about the intensity of Code-Switching and language use by multilinguals in cities of Quebec and neighborhoods of Montreal. Geolocated tweets will be used to identify where these linguistic phenomena occur the most and the least. My results show that the intensity of Code-Switching and the use of English by bilinguals is influenced by the size of anglophone and francophone populations on various spatial scales such as the city level, land use level (city center vs. periphery of Montreal), and large urban zones on the sub-city level, namely the western and eastern urban zones of Montreal. However, the correlation between population figures and language use is difficult to measure and evaluate on a much smaller sub-urban scale such as the city block scale due to factors such as population figures missing from the census and people’s mobility. A qualitative evaluation of language use on a small spatial scale seems to suggest that other social influences such as the location context or topic of discussion are much more important predictors for language use than population figures. Methods will be suggested for testing this hypothesis in future research. I conclude that geographic space can provide us information about the relation between language use in multilingual cities and sociodemographic factors such as a speech community’s size and that social media is a valuable alternative data source for sociolinguistic research that offers new insights into the mechanisms of language use such as Code-Switching.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

The Sustainable Development Division of the City of Montreal has commissioned the firm Bureau of Professional Interviewers (BIP Research) to conduct a survey of the population of the Island of Montreal on urban agriculture. In this context, urban agriculture is understood as food production in urban areas. The purpose of the survey was to: - Measure the proportion of Montrealers who practice urban agriculture; - To know, among urban farmers, what proportion practices urban agriculture in the following places: balcony, backyard, facade or side of a building, alley, community garden or collective garden; - Measure the proportion of Montrealers who implement good practices: composting, pesticide control, rainwater recovery, redistribution of excess seedlings or crops, etc.; - Know the reasons why some households do not practice urban agriculture.