Estimated number of persons by quarter of a year and by year, 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.

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.

The Families and Households data from the 2021 Federal Census covers household, household size, census family, and marital status. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.

Household refers to a person or group of persons who occupy the same dwelling and do not have a usual place of residence elsewhere in Canada or abroad. The dwelling may be either a collective dwelling or a private dwelling. The household may consist of a family group such as a census family, of two or more families sharing a dwelling, of a group of unrelated persons or of a person living alone. Household members who are temporarily absent on reference day are considered part of their usual household.

Household size refers to the number of persons in a private household.

Census family refers to a married couple and the children, if any, of either and/or both spouses; a couple living common law and the children, if any, of either and/or both partners; or a parent of any marital status in a one‑parent family with at least one child living in the same dwelling and that child or those children. All members of a particular census family live in the same dwelling.

Children may be biological or adopted children regardless of their age or marital status as long as they live in the dwelling and do not have their own married spouse, common‑law partner or child living in the dwelling. Grandchildren living with their grandparent(s) but with no parents present also constitute a census family.

One-parent refers to mothers or fathers, with no married spouse or common-law partner present, living in a dwelling with one or more children.

Marital status refers to whether or not a person is living in a common‑law union as well as the legal marital status of those who are not living in a common‑law union. All persons aged less than 15 are considered as never married and not living common law. Possible marital statuses are: Common-law, Divorced, Married, Separated, Single, and Widowed.

This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.

Between 2001 and 2006, Canada’s population grew by 5.4%. Only two provinces, Alberta and Ontario and three territories registered growth rates above the national average. The three Maritime provinces (Prince Edward Island, Nova Scotia and New Brunswick) had the smallest population growth, while Newfoundland and Labrador and Saskatchewan experienced population declines. In 2006, about 21.5 million people, almost two-thirds of Canada’s population lived in 33 census metropolitan areas (CMAs). Between 2001 and 2006, the population of these CMAs climbed 6.9%, faster that the national average. Barrie registered the fastest population growth of any CMA (19.2%), followed by Calgary (13.4%), Oshawa (11.6%) and Edmonton (10.4%).

The Families and Households data from the 2021 Federal Census covers household, household size, census family, and marital status. For questions, please contact socialresearch@calgary.ca. Please visit Data about Calgary's population for more information.

Household refers to a person or group of persons who occupy the same dwelling and do not have a usual place of residence elsewhere in Canada or abroad. The dwelling may be either a collective dwelling or a private dwelling. The household may consist of a family group such as a census family, of two or more families sharing a dwelling, of a group of unrelated persons or of a person living alone. Household members who are temporarily absent on reference day are considered part of their usual household.

Household size refers to the number of persons in a private household.

Census family refers to a married couple and the children, if any, of either and/or both spouses; a couple living common law and the children, if any, of either and/or both partners; or a parent of any marital status in a one‑parent family with at least one child living in the same dwelling and that child or those children. All members of a particular census family live in the same dwelling.

Children may be biological or adopted children regardless of their age or marital status as long as they live in the dwelling and do not have their own married spouse, common‑law partner or child living in the dwelling. Grandchildren living with their grandparent(s) but with no parents present also constitute a census family.

One-parent refers to mothers or fathers, with no married spouse or common-law partner present, living in a dwelling with one or more children.

Marital status refers to whether or not a person is living in a common‑law union as well as the legal marital status of those who are not living in a common‑law union. All persons aged less than 15 are considered as never married and not living common law. Possible marital statuses are: Common-law, Divorced, Married, Separated, Single, and Widowed.

This is a one-time load of Statistics Canada federal census data from 2021 applied to the Communities, Wards, and City geographical boundaries current as of 2022 (so they will likely not match the current year's boundaries). Update frequency is every 5 years. Data Steward: Business Unit Community Strategies (Demographics and Evaluation). This dataset is for general public and internal City business groups.

The Canadian residential real estate market, valued at approximately $XX million in 2025 (assuming a logical extrapolation based on the provided CAGR and market size), is projected to experience steady growth at a Compound Annual Growth Rate (CAGR) of 3.20% from 2025 to 2033. This growth is fueled by several key drivers, including a growing population, particularly in major metropolitan areas like Toronto, Vancouver, and Montreal, increasing urbanization, and a persistent demand for housing across various segments. The market exhibits strong demand across diverse property types, encompassing apartments and condominiums, villas, and landed houses. While the market shows positive trends, certain constraints, such as rising interest rates, regulatory changes impacting foreign investment, and limited land availability in certain high-demand regions, could moderate growth in specific sub-markets. However, the overall market outlook remains optimistic, driven by ongoing population growth and a continued focus on infrastructural development within major cities and surrounding areas. Further segmentation reveals significant regional variations. While Toronto, Vancouver, and Montreal consistently dominate the market in terms of both volume and value, cities like Calgary, Ottawa, and Hamilton also contribute significantly. The presence of major players like Amacon, Concert Properties Ltd., and Brookfield Asset Management indicates substantial investment and competition within the sector. These companies and others cater to the diverse needs of the market, offering a range of housing options to accommodate varying budgets and lifestyles. The forecast period of 2025-2033 will likely witness shifts in market dynamics as developers adapt to evolving consumer preferences, government policies, and economic fluctuations, leading to opportunities for both established and emerging players. The market's resilience and diversity suggest continued investment opportunities and robust growth potential in the coming years. 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: Population Growth is the main driving factor, Government Initiatives and Regulatory Aspects for the Residential Real Estate Sector. Notable trends are: Immigration Policies are Driving the Market.

The Canadian residential construction market exhibits robust growth potential, driven by a consistently increasing population, urbanization trends, and government initiatives promoting affordable housing. The market, valued at approximately $100 billion CAD in 2025 (estimated based on provided CAGR and market size information), is projected to experience a Compound Annual Growth Rate (CAGR) exceeding 5% through 2033. This expansion is fueled by strong demand in major cities like Toronto, Vancouver, Calgary, and Montreal, where population density and economic activity are high. While rising material costs and labor shortages pose challenges, innovative construction techniques and technological advancements are mitigating these restraints to some extent. The market segmentation reveals a significant share for multi-family dwellings, reflecting the increasing preference for apartments and condos in urban centers. The leading players, including PCL Construction, EllisDon, and others, are strategically positioning themselves to capitalize on this growth, focusing on sustainable and efficient building practices. The forecast indicates continued expansion across diverse segments. Single-family home construction, while vital, will likely witness more moderate growth compared to the multi-family segment. Regional variations will persist, with larger metropolitan areas experiencing faster growth than smaller cities and rural areas. Government policies influencing mortgage rates, building permits, and environmental regulations will play a critical role in shaping market trajectories. The continued focus on sustainable construction, energy efficiency, and smart home technologies will further drive innovation and attract investment in the sector. However, sustained economic growth and stable interest rates are crucial to maintain this positive momentum. Ongoing monitoring of inflation and material prices will be vital for accurate forecasting. Recent developments include: September 2022: PCL Construction was awarded Kindred Resort - Keystone's first major development in River Run in 20 years. This USD 184 million, 321,000 square-foot mixed-use development, designed by OZ Architecture, will consist of 95 luxury ski-in/ski-out condominiums and a 107-key full-service hotel, all just steps away from the River Run Gondola at Keystone Ski Resort. The development also includes 25,000 square feet of commercial space for restaurants, retail, and amenities including a pool, spa, fitness center, ski club, and event space. Preliminary construction activities are underway to relocate utilities. Construction will continue year-round and is scheduled for completion in June 2025., January 2023: PCL Construction broke ground on Schnitzer West Living's luxury residential community, the Avant, in the Denver Tech Center. The Avant is situated on the corner of Greenwood Plaza Boulevard and East Caley Avenue. The property includes 337 highly curated for-rent residences, complete with modern amenities and a two-level indoor structured parking garage with a capacity for roughly 450 cars. Residents will enjoy commanding views of the surrounding mountains year-round from their homes and the property's outdoor pool and hot tub. The property is Schnitzer West's first multifamily residential building, bringing luxurious living experiences to Denver's Tech Center.. Notable trends are: Drop in Building Permits Due to High Interest Rates.

Fifteen small and peripheral cities lost jobs between 1986 and 1996 in the education sector, but none more than 300. Toronto added almost 25 000 jobs in education during this period. Areas of slow growth, mostly rural or smaller centres, lost jobs in education as the birth rate declined, especially rural Quebec and across the northern periphery of the country. Nationally, the growth in the education sector more or less reflected the overall distribution of population growth across the country in, for example, Vancouver, Calgary, Edmonton, Toronto, Ottawa and Montréal. Nevertheless, many growing cities across the country (for example, Prince George, British Columbia and Fredericton, New Brunswick) also added jobs in these activities.

This dataset provides units, hectares, and estimated future population of existing suburban residential land supply that is in various stages of development. It includes information regarding the planning stage, infrastructure requirements, land use, and growth status of all suburban residential land supply in Calgary. The data is refreshed twice a year (January and July).

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.

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

Fifteen small and peripheral cities lost jobs between 1986 and 1996 in the education sector, but none more than 300. Toronto added almost 25 000 jobs in education during this period. Areas of slow growth, mostly rural or smaller centres, lost jobs in education as the birth rate declined, especially rural Quebec and across the northern periphery of the country. Nationally, the growth in the education sector more or less reflected the overall distribution of population growth across the country in, for example, Vancouver, Calgary, Edmonton, Toronto, Ottawa and Montréal. Nevertheless, many growing cities across the country (for example, Prince George, British Columbia and Fredericton, New Brunswick) also added jobs in these activities.

(StatCan Product) Employed by industries and sectors (NAICS 2007 – 1, 2, 3 and 4 digits) for Canada, selected provinces (QC, ON, AB and BC), Edmonton (CMA) and Calgary (CMA) (annual averages). Customization details: This information product has been customized to present information on the employed by industries: - TABLE 1: Employed by industries (NAICS 2007 – 1, 2, 3 and 4 digits) for Canada, selected provinces (Quebec, Ontario, Alberta and British Columbia) and the Alberta Census Metropolitan Areas (CMA) of Edmonton and Calgary – Annual Averages from 2001 to 2011 (in thousands). Labour Force Survey The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. Target population The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately. Instrument design The current LFS questionnaire was introduced in 1997. At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories. Sampling This is a sample survey with a cross-sectional design. Data sources Responding to this survey is mandatory. Data are collected directly from survey respondents. Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent. Error detection The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940). Estimation The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper ""Improvements to the Labour Force Survey (LFS)"", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication. Data accuracy Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviews are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the size of the estimate and the geographic area.