65 datasets found
  1. Canada GDP Nowcast: saar: YoY: Contribution: Real Estate

    • ceicdata.com
    Updated Mar 10, 2025
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    CEICdata.com (2025). Canada GDP Nowcast: saar: YoY: Contribution: Real Estate [Dataset]. https://www.ceicdata.com/en/canada/ceic-nowcast-gross-domestic-product-gdp/gdp-nowcast-saar-yoy-contribution-real-estate
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    Canada
    Description

    Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 0.000 % in 12 May 2025 and a record low of 0.000 % in 12 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Canada – Table CA.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

  2. Gross domestic product (GDP) at basic prices, by industry, provinces and...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Gross domestic product (GDP) at basic prices, by industry, provinces and territories, percentage share [Dataset]. http://doi.org/10.25318/3610040001-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in percentage share, in current dollars.

  3. Canada: Gross Domestic Product (GDP) 2024, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: Gross Domestic Product (GDP) 2024, by industry [Dataset]. https://www.statista.com/statistics/594293/gross-domestic-product-of-canada-by-industry-monthly/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2024
    Area covered
    Canada
    Description

    This statistic shows the Gross Domestic Product (GDP) of Canada in February 2024, distinguished by major industry. In February 2024, the construction industry of Canada contributed about 160.97 billion Canadian dollars to the total Canadian GDP.

  4. Canada GDP: 2017p: saar: FR: Real Estate & Rental & Leasing (RR)

    • ceicdata.com
    Updated Dec 6, 2023
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    CEICdata.com (2023). Canada GDP: 2017p: saar: FR: Real Estate & Rental & Leasing (RR) [Dataset]. https://www.ceicdata.com/en/canada/csma-gdp-by-industry-2017-price-saar/gdp-2017p-saar-fr-real-estate--rental--leasing-rr
    Explore at:
    Dataset updated
    Dec 6, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Canada
    Description

    Canada GDP: 2017p: saar: FR: Real Estate & Rental & Leasing (RR) data was reported at 303,945.000 CAD mn in Jan 2025. This records an increase from the previous number of 303,936.000 CAD mn for Dec 2024. Canada GDP: 2017p: saar: FR: Real Estate & Rental & Leasing (RR) data is updated monthly, averaging 215,750.000 CAD mn from Jan 1997 (Median) to Jan 2025, with 337 observations. The data reached an all-time high of 304,354.000 CAD mn in Nov 2024 and a record low of 138,325.000 CAD mn in Apr 1997. Canada GDP: 2017p: saar: FR: Real Estate & Rental & Leasing (RR) data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A026: CSMA: GDP by Industry: 2017 Price: saar.

  5. Gross domestic product (GDP) at basic prices, by industry, annual average (x...

    • www150.statcan.gc.ca
    Updated Jun 27, 2025
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    Government of Canada, Statistics Canada (2025). Gross domestic product (GDP) at basic prices, by industry, annual average (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610043401-eng
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    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, by Industry, volume measures, all levels of industries, (dollars x 1,000,000), annual, 5 most recent time periods.

  6. C

    Canada GDP Nowcast: saar: YoY: Contribution: Equity Market: TSX Group:...

    • ceicdata.com
    Updated Mar 10, 2025
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    CEICdata.com (2025). Canada GDP Nowcast: saar: YoY: Contribution: Equity Market: TSX Group: Index: S&P/TSX Capped Real Estate Index [Dataset]. https://www.ceicdata.com/en/canada/ceic-nowcast-gross-domestic-product-gdp/gdp-nowcast-saar-yoy-contribution-equity-market-tsx-group-index-sptsx-capped-real-estate-index
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    Canada
    Description

    Canada GDP Nowcast: saar: YoY: Contribution: Equity Market: TSX Group: Index: S&P/TSX Capped Real Estate Index data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Equity Market: TSX Group: Index: S&P/TSX Capped Real Estate Index data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 0.557 % in 02 Sep 2024 and a record low of 0.000 % in 12 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Equity Market: TSX Group: Index: S&P/TSX Capped Real Estate Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Canada – Table CA.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

  7. T

    Canada GDP

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada GDP [Dataset]. https://tradingeconomics.com/canada/gdp
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    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Canada
    Description

    The Gross Domestic Product (GDP) in Canada was worth 2241.25 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Canada represents 2.11 percent of the world economy. This dataset provides - Canada GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. GDP of Prince Edward Island in Canada 2023, by industry

    • statista.com
    Updated Apr 4, 2025
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    Statista (2025). GDP of Prince Edward Island in Canada 2023, by industry [Dataset]. https://www.statista.com/statistics/607678/gdp-of-prince-edward-island-canada-by-industry/
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    Dataset updated
    Apr 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Canada
    Description

    This statistic shows the gross domestic product (GDP) of Prince Edward Island in 2023, by industry. In 2023, the GDP of the construction industry in Prince Edward Island was 516.4 million chained 2017 Canadian dollars.

  9. C

    Canada Real Estate Services Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 27, 2025
    + more versions
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    Market Report Analytics (2025). Canada Real Estate Services Market Report [Dataset]. https://www.marketreportanalytics.com/reports/canada-real-estate-services-market-91993
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Canada
    Variables measured
    Market Size
    Description

    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.

  10. GDP distribution of British Columbia in Canada 2022, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). GDP distribution of British Columbia in Canada 2022, by industry [Dataset]. https://www.statista.com/statistics/608359/gdp-distribution-of-british-columbia-canada-by-industry/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the distribution of the gross domestic product (GDP) of British Columbia, Canada in 2022, by industry. In that year, the construction industry accounted for 9.92 percent of the GDP of British Columbia.

  11. Canada GDP: CL 2002p: saar: FR: Real Estate & Rental & Leasing (RR)

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Canada GDP: CL 2002p: saar: FR: Real Estate & Rental & Leasing (RR) [Dataset]. https://www.ceicdata.com/en/canada/csna-1997-gdp-by-industry-chain-linked-2002-price-saar/gdp-cl-2002p-saar-fr-real-estate--rental--leasing-rr
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2011 - Oct 1, 2012
    Area covered
    Canada
    Variables measured
    Gross Domestic Product
    Description

    Canada GDP: CL 2002p: saar: FR: Real Estate & Rental & Leasing (RR) data was reported at 175,340.000 CAD mn in Oct 2012. This records an increase from the previous number of 174,938.000 CAD mn for Sep 2012. Canada GDP: CL 2002p: saar: FR: Real Estate & Rental & Leasing (RR) data is updated monthly, averaging 140,831.000 CAD mn from Jan 1997 (Median) to Oct 2012, with 190 observations. The data reached an all-time high of 175,340.000 CAD mn in Oct 2012 and a record low of 108,570.000 CAD mn in Apr 1997. Canada GDP: CL 2002p: saar: FR: Real Estate & Rental & Leasing (RR) data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A061: CSNA 1997: GDP: by Industry: Chain Linked 2002 Price: saar. Annualized monthly data

  12. GDP of Nova Scotia in Canada 2022, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). GDP of Nova Scotia in Canada 2022, by industry [Dataset]. https://www.statista.com/statistics/607683/gdp-of-nova-scotia-canada-by-industry/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the gross domestic product (GDP) of Nova Scotia in 2022, by industry. In 2022, the GDP of the construction industry in Nova Scotia was 2.92 billion chained 2012 Canadian dollars.

  13. Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
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    Technavio, Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (Australia, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/residential-real-estate-market-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Mexico, United States, Germany, Europe, United Kingdom, Japan, Canada, Global
    Description

    Snapshot img

    Residential Real Estate Market Size 2025-2029

    The residential real estate market size is forecast to increase by USD 485.2 billion at a CAGR of 4.5% between 2024 and 2029.

    The market is experiencing significant growth, fueled by increasing marketing initiatives that attract potential buyers and tenants. This trend is driven by the rising demand for housing solutions that cater to the evolving needs of consumers, particularly in urban areas. However, the market's growth trajectory is not without challenges. Regulatory uncertainty looms large, with changing policies and regulations posing a significant threat to market stability. Notably, innovative smart home technologies, such as voice-activated assistants and energy-efficient appliances, are gaining traction, offering enhanced convenience and sustainability for homeowners.
    As such, companies seeking to capitalize on the opportunities presented by the growing the market must navigate these challenges with agility and foresight. The residential construction industry's expansion is driven by urbanization and the rising standard of living in emerging economies, including India, China, Thailand, Malaysia, and Indonesia. By staying abreast of regulatory changes and implementing innovative marketing strategies, they can effectively meet the evolving needs of consumers and maintain a competitive edge. These regulatory shifts can impact everything from property prices to financing options, making it crucial for market players to stay informed and adapt quickly.
    

    What will be the Size of the Residential Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic housing market analysis, small flats continue to be a popular choice for both investors and first-time homebuyers, driven by affordability and urban growth. International investment in housing projects, including apartments and condominiums, remains strong, offering attractive investment returns. Real estate syndication and property management software facilitate efficient property ownership and management. Real estate loans, property insurance, and urban planning are essential components of the housing market, ensuring the development of affordable housing and addressing the needs of the middle class and upper middle class. Property disputes, property tax assessments, and real estate litigation are ongoing challenges, requiring careful attention from stakeholders.
    Property search engines streamline the process of finding the perfect property, from studio apartments to luxury homes. Real estate auctions, land banking, and nano apartments are innovative solutions in the market, while property flipping and short sales provide opportunities for savvy investors. Urban growth and community development are key trends, with a focus on sustainable, planned cities and the integration of technology, such as real estate blockchain, into the industry. Developers secure building permits, review inspection reports, and manage escrow accounts during real estate transactions. Key services include contract negotiation, dispute resolution, and tailored investment strategies for portfolio management. Financial aspects cover tax implications, estate planning, retirement planning, taxdeferred exchanges, capital gains, tax deductions, and maintaining positive cash flow for sustained returns.
    

    How is this Residential Real Estate Industry segmented?

    The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Mode Of Booking
    
      Sales
      Rental or lease
    
    
    Type
    
      Apartments and condominiums
      Landed houses and villas
    
    
    Location
    
      Urban
      Suburban
      Rural
    
    
    End-user
    
      Mid-range housing
      Affordable housing
      Luxury housing
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The sales segment is estimated to witness significant growth during the forecast period. The sales segment dominates the global residential real estate market and will continue to dominate during the forecast period. The sales segment includes the sale of any property that is majorly used for residential purposes, such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences. With the growing population and urbanization, the demand for homes is also increasing, which is the major factor driving the growth of the sales segment. Moreover, real estate firms work with developers to sel

  14. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  15. C

    Canada GDP: CL 2017p: British Columbia: Real Estate & Rental & Leasing

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com, Canada GDP: CL 2017p: British Columbia: Real Estate & Rental & Leasing [Dataset]. https://www.ceicdata.com/en/canada/csma-gdp-by-industry-chain-linked-2017-price-by-province-and-territory/gdp-cl-2017p-british-columbia-real-estate--rental--leasing
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Canada
    Description

    Canada GDP: CL 2017p: British Columbia: Real Estate & Rental & Leasing data was reported at 58,214.300 CAD mn in 2024. This records an increase from the previous number of 56,520.000 CAD mn for 2023. Canada GDP: CL 2017p: British Columbia: Real Estate & Rental & Leasing data is updated yearly, averaging 36,874.750 CAD mn from Dec 1997 (Median) to 2024, with 28 observations. The data reached an all-time high of 58,214.300 CAD mn in 2024 and a record low of 22,720.400 CAD mn in 1997. Canada GDP: CL 2017p: British Columbia: Real Estate & Rental & Leasing data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A029: CSMA: GDP by Industry: Chain Linked 2017 Price: by Province and Territory.

  16. GDP distribution of Ontario, Canada 2022, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). GDP distribution of Ontario, Canada 2022, by industry [Dataset]. https://www.statista.com/statistics/607895/gdp-distribution-of-ontario-canada-by-industry/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the distribution of the gross domestic product (GDP) of Ontario in 2022, by industry. In that year, the construction industry accounted for eight percent of the GDP of Ontario.

  17. C

    Canada GDP: CL 2002p: saar: FR: RR: Real Estate: Lessors

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Canada GDP: CL 2002p: saar: FR: RR: Real Estate: Lessors [Dataset]. https://www.ceicdata.com/en/canada/csna-1997-gdp-by-industry-chain-linked-2002-price-saar/gdp-cl-2002p-saar-fr-rr-real-estate-lessors
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2011 - Oct 1, 2012
    Area covered
    Canada
    Variables measured
    Gross Domestic Product
    Description

    Canada GDP: CL 2002p: saar: FR: RR: Real Estate: Lessors data was reported at 159,968.000 CAD mn in Oct 2012. This records an increase from the previous number of 159,439.000 CAD mn for Sep 2012. Canada GDP: CL 2002p: saar: FR: RR: Real Estate: Lessors data is updated monthly, averaging 123,896.500 CAD mn from Jan 1997 (Median) to Oct 2012, with 190 observations. The data reached an all-time high of 159,968.000 CAD mn in Oct 2012 and a record low of 98,173.000 CAD mn in Jan 1997. Canada GDP: CL 2002p: saar: FR: RR: Real Estate: Lessors data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A061: CSNA 1997: GDP: by Industry: Chain Linked 2002 Price: saar. Annualized monthly data

  18. GDP of Manitoba, Canada 2022, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). GDP of Manitoba, Canada 2022, by industry [Dataset]. https://www.statista.com/statistics/607742/gdp-of-manitoba-canada-by-industry/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the gross domestic product (GDP) of Manitoba in 2022, by industry. In 2022, the GDP of the construction industry in Manitoba was 3.82 billion chained 2012 Canadian dollars.

  19. Indexes of labour productivity and related measures, by business sector...

    • db.nomics.world
    Updated Jun 5, 2025
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    DBnomics (2025). Indexes of labour productivity and related measures, by business sector industry, seasonally adjusted [Dataset]. https://db.nomics.world/STATCAN/36100207
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    DBnomics
    Description

    Quarterly estimates of productivity in the total economy and in the industries are derived from a Fisher chained index of gross domestic product (GDP). The approach to measure the GDP in the total economy differs from the one that used in the estimates by industry. For the total economy, GDP is measured using the expenditure approach at market prices published by the Quarterly Income and Expenditure Accounts. For the estimates by industry, GDP is measured using the value added approach at basic prices published by the Industry Accounts Division. This was the Fisher chained index in the case of years for which final input-output tables are available. For the most current years or annual post-benchmarks, the real GDP is based on a fixed-weight Laspeyres chained index formula. GDP estimates in the productivity measures for the businesses producing services and for real estate, and rental and leasing exclude the rental value of owner occupied dwellings. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. The last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. Hours worked data are consistent with the System of National Accounts. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is the ratio between real GDP and hours worked. For the estimates of productivity in the total economy, a Fisher chain index of GDP at market prices is used as measure of the output. On the other hand, in the quarterly productivity estimates for the industries, a Fisher chain index of GDP at basic prices for each industry is used as measure of the output up to the last year benchmark for which final input-output tables are available, after that by a fixed-weight volume Laspeyres chained index formula for the most recent years. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. The measure of real value added used in the labour unit cost estimation is based on a Fisher chain index excluding the rental value of owner occupied dwellings. The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance. Since 1997, the System of National Accounts' (SNA) input-output industry classification system is based on NAICS. In the National Accounts industries, the levels of the different classification systems were chosen so as to provide the most detail possible in order to maximise continuity with the previous classification systems used in Statistics Canada since 1961. Therefore, the greatest level of detail that is available over time occurs at the L level of aggregation, which corresponds, to 105 industries. This L level can also be aggregated to the M level (medium - 56 industries) and to the S level (small - 21 industries). This combines the business establishments of the North American Industry Classification System (NAICS) codes 11, 21, 22, 23, 31-33. This combines the business establishments of the North American Industry Classification System (NAICS) codes 41, 44-45, 48-49, 51, 52, 53, 54, 55, 56, 61, 62, 71, 72, 81. The Gross Domestic Product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from the business service producing industries. This combines the business establishments of the North American Industry Classification System (NAICS) code 53. The gross domestic product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from this industry code. This combines the business establishments of the North American Industry Classification System (NAICS) codes 61, 62, 81. This combines the part of non-business establishments of the North American Industry Classification System (NAICS) codes 11-91, but also including the owner occupied dwellings industry and the private households. Total economic activities that have been realized within the country. That covers both business and non-business sectors. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars. This combines the business establishments of the North American Industry Classification System (NAICS) codes 52 and 55.

  20. Lending to households as share of GDP in selected territories worldwide 2023...

    • statista.com
    • ai-chatbox.pro
    Updated Sep 16, 2024
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    Fernando de Querol Cumbrera (2024). Lending to households as share of GDP in selected territories worldwide 2023 [Dataset]. https://www.statista.com/topics/7521/mortgage-industry-worldwide-developed-markets/
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    Dataset updated
    Sep 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Fernando de Querol Cumbrera
    Description

    In 2022, the value of the lending to households in Switzerland as a share of its gross domestic product (GDP) was higher than in any of the countries selected here. Australian, Canadian, and South Korean households had an amount of credit which was higher than the overall size of their economy. That year, household lending in Argentina amounted to 4 percent of its GDP, which was the lowest figure in the ranking.

    What is the household debt?

    Household debt, also known as family debt, includes loans taken to pay for the home or other property, education, vehicles, and other expenses. The largest component of this is mortgage debt, which is seen by many as a way to build long-term equity. As such, households are willing to take on a large amount of this debt with the goal of owning an asset that holds value and can be used as a residence in the meantime.

    The cost of debt

    The cost of a loan depends on a number of factors such as the interest rate, borrower’s credit risk or time period of a loan. The value of mortgage and the rate of return on assets such as real estate also depend largely on geographic location. The highest borrowers in this statistic are likely living in countries where credit is affordable and expected returns are relatively high, incentivizing heavy borrowing.

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CEICdata.com (2025). Canada GDP Nowcast: saar: YoY: Contribution: Real Estate [Dataset]. https://www.ceicdata.com/en/canada/ceic-nowcast-gross-domestic-product-gdp/gdp-nowcast-saar-yoy-contribution-real-estate
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Canada GDP Nowcast: saar: YoY: Contribution: Real Estate

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Dataset updated
Mar 10, 2025
Dataset provided by
CEIC Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 23, 2024 - Mar 10, 2025
Area covered
Canada
Description

Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data is updated weekly, averaging 0.000 % from Jan 2019 (Median) to 12 May 2025, with 332 observations. The data reached an all-time high of 0.000 % in 12 May 2025 and a record low of 0.000 % in 12 May 2025. Canada GDP Nowcast: saar: YoY: Contribution: Real Estate data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Canada – Table CA.CEIC.NC: CEIC Nowcast: Gross Domestic Product (GDP).

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