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TwitterAnnual 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Historical dataset of population level and growth rate for the Quebec, Canada metro area from 1950 to 2025.
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TwitterCanada'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.
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TwitterEstimated number of persons by quarter of a year and by year, Canada, provinces and territories.
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TwitterFootnotes: 1 Population estimates based on the Standard Geographical Classification (SGC) 2011 as delineated in the 2011 Census. 2 A census metropolitan area (CMA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000 of which 50,000 or more must live in the core. To be included in the CMA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from previous census place of work data. Once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. Small population centres with a population count of less than 10,000 are called fringe. All areas inside the CMA that are not population centres are rural areas. All CMAs are subdivided into census tracts. 3 Postcensal estimates are based on the latest census counts adjusted for census net undercoverage (including adjustment for incompletely enumerated Indian reserves) and for the estimated population growth that occurred since that census. Intercensal estimates are based on postcensal estimates and census counts adjusted of the censuses preceding and following the considered year. 4 Preliminary postcensal population estimates for census metropolitan areas (CMAs) in Quebec and British Columbia were prepared by l'Institut de la statistique du Québec" (ISQ) and BC Stats Ministry of Labour and Citizens' Services respectively. Estimates for Quebec were based on statistics derived from the registration file for insured people of the "Régie de l'assurance-maladie". Estimates for British Columbia were produced using a regression model based upon changes in residential electrical (hydro) connections and Ministry of Health Client Registry counts. These estimates were controlled to Statistics Canada provincial estimates. Please note that for these two specific cases5 Population estimates for July 1 are final intercensal from 2001 to 2010, final postcensal for 2011 to 2013, updated postcensal for 2014 to 2016 and preliminary postcensal for 2017. 6 The population growth, which is used to calculate population estimates of Census metropolitan areas (CANSIM 051-0056), is comprised of the components of population growth (CANSIM 051-0057). 7 This table replaces CANSIM table 051-0046. 8 Please refer to table 17100135 for more recent data. 9 Age at July 1.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The majority of the Canadian population, about 60% is concentrated within a thin belt of land representing 2.2% of the land between Windsor, Ontario and Quebec City. Even though Canada is the second largest country in the world in terms of land area, it only ranks 33rd in terms of population. The agricultural areas in the Prairies and eastern Canada have higher population densities than the sparsely populated North, but not as high as southern Ontario or southern Quebec.
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TwitterThis statistic shows the estimated population of Quebec, Canada from 2000 to 2023. In 2023, the estimated population of Quebec was about *** million people. This is an increase from 2000, when about **** million people were living in Quebec.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that shows two maps. The maps show the density of population per square mile for every township the Maritime Provinces, Quebec and Ontario, circa 1901. Cities and towns of 5000 inhabitants or more are shown as black dots. The size of the circle is proportionate to the population. The map uses eight classes, seven of which are shades of brown, more densely populated portions are shown in the darker tints. Numbers make it clear which class is being shown in any one township.
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Twitter100% data.
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TwitterComprehensive demographic dataset for Quebec City, QC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The majority of the Canadian population, about 60% is concentrated within a thin belt of land representing 2.2% of the land between Windsor, Ontario and Quebec City. Even though Canada is the second largest country in the world in terms of land area, it only ranks 33rd in terms of population. The agricultural areas in the Prairies and eastern Canada have higher population densities than the sparsely populated North, but not as high as southern Ontario or southern Quebec.
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Twitterhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/CTSYFEhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/CTSYFE
Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...
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TwitterThis ZIP file contains an IVT file.
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TwitterThis statistic shows the population distribution of Quebec in 2016, by urban/rural type. In 2016, 59.2 percent of Quebec's population lived in large urban population centers.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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⚠ Important notice concerning the list of elected officials Following the elections of November 2, 2025, please note that information concerning newly elected officials will be updated in mid-December 2025 in order to respect the deadlines provided by law for the proclamation and swearing in of elected officials. In addition, we would like to remind you that the directory of municipalities has no legal value and that elected officials are presented there for information purposes. An elected official is proclaimed as such by means of a writing signed by the election chairman of the municipality. The results of the elections for all municipalities can be consulted on the portal Data Quebec Results of the General Municipal Elections - Dataset - Datasets Quebec. Élections Québec also makes the results available by municipality here Results and Statistics — Élections Québec. The Directory of Municipalities contains the following information for each municipality in Quebec: - the coordinates of the municipality; - the list of council members and the list of officials responsible for the municipal organization; - general information such as the designation, the date of establishment, the area, the population, the population, the population, the administrative region, the administrative region, the MRC, the census division of Canada, the electoral district of Quebec, the date of the next elections, the method of election, the method of election, the population, the population, the population, the administrative region, the administrative region, the territorial division and the list of boroughs if necessary. The Directory also provides: - for each MRC or territory outside the MRC, for each of the two metropolitan communities and for the Kativik Regional Government; in addition to contact details and general information, the list of municipalities that form this administration as well as their respective population and area; - for each district; contact details, general information as well as the list of council members and the list of officials responsible for the municipal organization. Please note the following adjustments (as of March 26, 2024): - The file “List of MRCs” will be replaced by “List of MRC_cm_arg" - Addition of the “List of resources” file - New columns have been added to the “List of municipalities” and “List of districts” files _For more details, please access the dataset page. _
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TwitterIn 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.
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TwitterThis table presents the 2021 and 2016 population counts and the 2021 dwelling counts, land area and population density at the designated place level and at all the higher geographic levels in which the designated place is located, including census subdivision, census division, province or territory, and Canada. It also shows the percentage change in the population counts between 2016 and 2021.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Twitter25% sample data.
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TwitterAnnual 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.