100+ datasets found
  1. T

    Canada Household Saving Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Household Saving Rate [Dataset]. https://tradingeconomics.com/canada/personal-savings
    Explore at:
    json, excel, csv, xmlAvailable 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
    Mar 31, 1961 - Jun 30, 2025
    Area covered
    Canada
    Description

    Household Saving Rate in Canada decreased to 5 percent in the second quarter of 2025 from 6 percent in the first quarter of 2025. This dataset provides - Canada Personal Savings - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. d

    POI Data: SafeGraph Places - Canada

    • datarade.ai
    .csv
    Updated Jun 1, 2021
    + more versions
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    SafeGraph (2021). POI Data: SafeGraph Places - Canada [Dataset]. https://datarade.ai/data-products/free-poi-data-safegraph-core-places-entire-canada-essenti-safegraph
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    .csvAvailable download formats
    Dataset updated
    Jun 1, 2021
    Dataset authored and provided by
    SafeGraph
    Area covered
    Canada
    Description

    SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

    SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

    SafeGraph provides clean and accurate geospatial datasets on 75M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

  3. Digital video game purchases by store brand in Canada 2023

    • statista.com
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    Statista, Digital video game purchases by store brand in Canada 2023 [Dataset]. https://www.statista.com/forecasts/998463/digital-video-game-purchases-by-store-brand-in-canada
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Dec 2023
    Area covered
    Canada
    Description

    We asked Canadian consumers about "Digital video game purchases by store brand" and found that ********************* takes the top spot, while ***************** is at the other end of the ranking.Find this and more survey data on digital video game purchases by store brand in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

  4. p

    Save-On-Foods Locations Data for Canada

    • poidata.io
    csv, json
    Updated Nov 30, 2025
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    Business Data Provider (2025). Save-On-Foods Locations Data for Canada [Dataset]. https://poidata.io/brand-report/save-on-foods/canada
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    Canada
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 187 verified Save-On-Foods locations in Canada with complete contact information, ratings, reviews, and location data.

  5. Food store and foodservice industry sales, Ontario and Canada

    • open.canada.ca
    • data.ontario.ca
    • +1more
    html, xls
    Updated Oct 22, 2025
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    Government of Ontario (2025). Food store and foodservice industry sales, Ontario and Canada [Dataset]. https://open.canada.ca/data/en/dataset/18223291-09a2-44b8-b0d4-38f0658466f5
    Explore at:
    xls, htmlAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Ontario, Canada
    Description

    Get data on the annual sales revenue in Ontario for food and beverage stores, and food service and drinking places (such as restaurants and bars).

  6. Current and capital accounts - Households, Canada, quarterly

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Nov 28, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Current and capital accounts - Households, Canada, quarterly [Dataset]. http://doi.org/10.25318/3610011201-eng
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    Dataset updated
    Nov 28, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Quarterly current and capital accounts for the household sector, including property income, disposable income, net saving and net lending, Canada.

  7. d

    Polygon Data | Home Furnishing & Electronics Store Locations in US and...

    • datarade.ai
    Updated Mar 27, 2023
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    Xtract (2023). Polygon Data | Home Furnishing & Electronics Store Locations in US and Canada | All Specialty Retail Location Data | Places Data [Dataset]. https://datarade.ai/data-products/xtract-io-polygon-data-all-home-furnishing-and-electronics-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 27, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Xtract.io's location data for home and electronics retailers delivers a comprehensive view of the retail sector. Retail analysts, industry researchers, and business developers can utilize this dataset to understand market distribution, identify potential opportunities, and develop strategic insights into home and electronics retail landscapes.

    How Do We Create Polygons? -All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct detailed indoor polygons. This meticulous process ensures higher accuracy and consistency. -We verify our polygons through multiple quality checks, focusing on accuracy, relevance, and completeness.

    What's More? -Custom Polygon Creation: Our team can build polygons for any location or category based on your specific requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

    Unlock the Power of POI and Geospatial Data With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market analyses to identify growth opportunities. -Pinpoint the ideal location for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute targeted, location-driven marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

    Why Choose LocationsXYZ? LocationsXYZ is trusted by leading brands to unlock actionable business insights with our spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI data. Request your free sample today and explore how we can help accelerate your business growth.

  8. p

    Barber supply stores Business Data for Canada

    • poidata.io
    csv, json
    Updated Dec 2, 2025
    + more versions
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    Business Data Provider (2025). Barber supply stores Business Data for Canada [Dataset]. https://www.poidata.io/report/barber-supply-store/canada
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    Canada
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 567 verified Barber supply store businesses in Canada with complete contact information, ratings, reviews, and location data.

  9. d

    Restaurant Location Data | All Subway and Fast Food Locations in the US and...

    • datarade.ai
    Updated Jul 14, 2025
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    Xtract (2025). Restaurant Location Data | All Subway and Fast Food Locations in the US and Canada | QSR and Fast Food Restaurant Data [Dataset]. https://datarade.ai/data-products/xtract-io-point-of-interest-poi-data-location-data-p-xtract
    Explore at:
    .bin, .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Xtract
    Area covered
    United States
    Description

    Xtract.io's Restaurant POI data delivers a comprehensive view of the brand's extensive QSR and fast food restaurant locations across the United States and Canada. Franchise investors, business analysts, and market researchers can utilize this QSR and fast food location data to understand Subway and other fast food market penetration, identify potential growth areas, and develop targeted strategic insights for quick service restaurant analysis.

    Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive restaurant location intelligence landscape.

    LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including: -Retail -Restaurant chain locations -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

    Why Choose LocationsXYZ for Fast Food POI Data? At LocationsXYZ, we: -Deliver restaurant POI data with 95% accuracy -Refresh QSR location data every 30, 60, or 90 days to ensure the most recent information -Create on-demand fast food chain datasets tailored to your specific needs -Handcraft boundaries (geofences) for restaurant locations to enhance accuracy -Provide restaurant POI data and polygon data in multiple file formats

    Unlock the Power of Restaurant Location Data With our point-of-interest data for food service establishments, you can: -Perform thorough market analyses for QSR expansion -Identify the best locations for new restaurant stores -Gain insights into consumer behavior and dining patterns -Achieve an edge with competitive intelligence in the fast food industry

    LocationsXYZ has empowered businesses with geospatial insights and restaurant location intelligence, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge Subway restaurant POI data.

  10. d

    Pharma Data | Pharmacies & Drug Store Locations in US and Canada | Places...

    • datarade.ai
    Updated Sep 14, 2023
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    Xtract (2023). Pharma Data | Pharmacies & Drug Store Locations in US and Canada | Places Data [Dataset]. https://datarade.ai/data-products/xtract-io-polygon-data-all-pharmacies-and-drug-stores-in-us-xtract
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Xtract.io’s Pharmacy & Drug Store Location Data provides a complete geospatial view of pharmaceutical retail across the United States and Canada. This dataset includes handcrafted polygons and geocoded coordinates for each pharmacy location, making it a powerful resource for healthcare planners, market researchers, and retail strategists.

    Organizations can leverage this dataset to:

    • Conduct healthcare accessibility mapping and identify underserved areas.

    • Evaluate market penetration and retail coverage across regions.

    • Analyze the competitive landscape in pharmaceutical retail.

    • Support site selection and expansion strategies.

    How We Build Pharmacy Polygons

    • Manually crafted polygons created using GIS tools like QGIS and ArcGIS, with aerial and street-level imagery.

    • Integration of venue layouts and elevation plans from official sources for enhanced accuracy.

    • Rigorous multi-stage quality checks ensure accuracy, completeness, and relevance.

    What Else We Offer

    • Custom polygon creation for any retail chain, healthcare facility, or point of interest.

    • Enhanced metadata including entry/exit points, parking areas, and surrounding context.

    • Flexible formats: WKT, GeoJSON, Shapefile, and GDB for smooth system integration.

    • Regular updates tailored to client needs (30, 60, 90 days).

    • Unlock the Power of Healthcare Geospatial Data

    With detailed pharmacy polygon data and POI datasets, businesses can:

    • Map healthcare service coverage and accessibility.

    • Identify growth opportunities in underserved communities.

    • Decode consumer behavior in the pharmaceutical retail space.

    • Strengthen location-driven strategies with spatial intelligence.

    Why Choose LocationsXYZ?

    LocationsXYZ is trusted by enterprises worldwide to deliver 95% accurate, handcrafted POI and polygon data. With our pharma dataset, you gain actionable insights to support healthcare planning, retail expansion, and competitive benchmarking.

  11. Annual retail store survey, financial estimates by store type and trade...

    • www150.statcan.gc.ca
    • datasets.ai
    • +4more
    Updated Mar 13, 2017
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    Government of Canada, Statistics Canada (2017). Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS), inactive [Dataset]. http://doi.org/10.25318/2010003501-eng
    Explore at:
    Dataset updated
    Mar 13, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 9702 series, with data for years 1999 - 2009 (not all combinations necessarily have data for all years), and was last released on 2012-03-28. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada;Nova Scotia;Prince Edward Island;Newfoundland and Labrador ...), Trade group (21 items: Total; all trade groups;New car dealers;Used and recreational motor vehicle and parts dealers;Furniture stores ...), Financial estimates (11 items: Sales of goods for resale;Total revenue;Opening inventory;Total operating revenue ...), Type of store (3 items: Total all stores;Chain stores;Non-chain stores ...).

  12. x

    Polygon Data | Home Furnishing & Electronics Store Locations in US and...

    • locations.xtract.io
    Updated Nov 16, 2024
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    Xtract (2024). Polygon Data | Home Furnishing & Electronics Store Locations in US and Canada | All Specialty Retail Location Data | Places Data [Dataset]. https://locations.xtract.io/products/xtract-io-polygon-data-all-home-furnishing-and-electronics-xtract
    Explore at:
    Dataset updated
    Nov 16, 2024
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Detailed store polygon data for household appliances, furniture, electronics, and related specialty stores in the US and Canada. Essential for retail sector analysis, market strategies, and competitive intelligence in the home goods industry.

  13. B

    Annual Retail Store Data, 2000 [Canada] [Excel]

    • borealisdata.ca
    • dataverse.scholarsportal.info
    Updated Sep 28, 2023
    + more versions
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    Statistics Canada (2023). Annual Retail Store Data, 2000 [Canada] [Excel] [Dataset]. http://doi.org/10.5683/SP3/TUQXW4
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/TUQXW4https://borealisdata.ca/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.5683/SP3/TUQXW4

    Area covered
    Canada
    Description

    The annual Retail store data CD-ROM is an easy-to-use tool for quickly discovering retail trade patterns and trends. The current product presents results from the 1999 and 2000 Annual Retail Store and Annual Retail Chain surveys. This product contains numerous cross-classified data tables using the North American Industry Classification System (NAICS). The data tables provide access to a wide range of financial variables, such as revenues, expenses, inventory, sales per square footage (chain stores only) and the number of stores. Most data tables contain detailed information on industry (as low as 5-digit NAICS codes), geography (Canada, provinces and territories) and store type (chains, independents, franchises). The electronic product also contains survey metadata, questionnaires, information on industry codes and definitions, and the list of retail chain store respondents.

  14. d

    Building Footprint Data | Global Insights for Location-Based Strategies |...

    • data.drakomediagroup.com
    Updated Oct 17, 2024
    + more versions
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    DRAKO (2024). Building Footprint Data | Global Insights for Location-Based Strategies | 137M+ Buildings [Dataset]. https://data.drakomediagroup.com/products/drako-building-footprint-data-usa-canada-comprehensiv-drako
    Explore at:
    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    DRAKO
    Area covered
    France, Belgium, United States, Canada, Brazil
    Description

    DRAKO's Building Footprint Data empowers businesses with detailed building insights. Utilize our extensive dataset, which includes: Building Footprints, Store Location Data, Point of Interest (POI) Data, and Places Data, to find relevant locations for decision-making and operational strategies.

  15. p

    Save-On-Foods Pharmacy Locations Data for Canada

    • poidata.io
    csv, json
    Updated Nov 16, 2025
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    Business Data Provider (2025). Save-On-Foods Pharmacy Locations Data for Canada [Dataset]. https://poidata.io/brand-report/save-on-foods-pharmacy/canada
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 16, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    Canada
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 150 verified Save-On-Foods Pharmacy locations in Canada with complete contact information, ratings, reviews, and location data.

  16. x

    Restaurant Location Data | All Subway and Fast Food Locations in the US and...

    • locations.xtract.io
    Updated Oct 30, 2024
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    Xtract (2024). Restaurant Location Data | All Subway and Fast Food Locations in the US and Canada | QSR and Fast Food Restaurant Data [Dataset]. https://locations.xtract.io/products/xtract-io-point-of-interest-poi-data-location-data-p-xtract
    Explore at:
    Dataset updated
    Oct 30, 2024
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Restaurant POI data with QSR and fast food restaurant locations across the US and Canada. Includes all Subway locations, QSR, fast food chain coordinates, restaurant location data, and franchise information. Perfect for competitive analysis, market research, and food service location intelligence.

  17. d

    Polygon Data | Park and Ride Locations in US and Canada | Parking Locations,...

    • datarade.ai
    Updated Apr 27, 2023
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    Xtract (2023). Polygon Data | Park and Ride Locations in US and Canada | Parking Locations, Commuter Lots & Transit Infrastructure [Dataset]. https://datarade.ai/data-products/xtract-io-polygon-data-all-park-and-ride-store-locations-da-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Xtract.io’s Park & Ride Polygon Data delivers a detailed geospatial mapping of commuter parking facilities and transit hubs across the US and Canada. This transit polygon dataset, part of our GIS data offerings, includes precise geocoded geofences, making it essential for urban planners, transportation authorities, and mobility researchers.

    Use Cases & Benefits: - Support transit planning and urban mobility modeling - Inform transportation infrastructure mapping - Analyze commuter flow patterns and hub accessibility - Enable site selection for new transit facilities - Empower mobility intelligence with spatial clarity

    Polygon Creation Methodology - Manual crafting via GIS tools (QGIS, ArcGIS) using aerial imagery and street-level views for high-precision boundaries. - Integration of official transit layout and elevation plans to enrich polygon accuracy and context. - Multi-stage quality validation to ensure relevance, completeness, and accuracy for mobility datasets.

    Customization & Delivery - Custom polygon creation for new commuter hubs, transit sites, or infrastructure projects. - Enhanced feature capture, including entry/exit points, parking layouts, and adjacent pathways. - Flexible formats (WKT, GeoJSON, Shapefile, GDB) for smooth GIS and transportation system integration. - Regular update cycles (30/60/90 days) to reflect evolving transit needs.

    Unlock the Power of Transit Geospatial Data

    With our Park & Ride polygon and POI data, you can: - Conduct advanced transportation analyses. - Identify optimal zones for infrastructure expansion. - Leverage geospatial insights for strategic transit decision-making.

    Why LocationsXYZ? Cities and transit authorities trust LocationsXYZ for its accurate, handcrafted polygon data. Transform how you plan and execute urban mobility initiatives with precision and confidence.

  18. Midwives save lives through thick and thin

    • open.canada.ca
    html
    Updated Oct 9, 2025
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    Global Affairs Canada (2025). Midwives save lives through thick and thin [Dataset]. https://open.canada.ca/data/dataset/c6bffda5-a77b-4344-8c42-aa1437de6f3c
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    Global Affairs Canadahttp://www.international.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Midwives are on the front lines, adapting their services so that women continue to get the care they need.

  19. d

    ADD-ON: Point of Interest (POI) Shopping Centers Tenants Dataset I 1.2M+...

    • datarade.ai
    .csv, .xls
    Updated Feb 26, 2025
    + more versions
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    CAP Locations (2025). ADD-ON: Point of Interest (POI) Shopping Centers Tenants Dataset I 1.2M+ Places | Coverage USA/Canada [Dataset]. https://datarade.ai/data-products/add-on-cap-poi-anchors-tenants-usa-canada-1-2m-tena-competitive-analytics-profess
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 26, 2025
    Dataset authored and provided by
    CAP Locations
    Area covered
    United States, Canada
    Description

    Anchors & Tenants (POI) - Retail & Restaurant is a comprehensive list of more than 1.2 million locations and features unique and persistent record ids and standardized Trade Name and Ownership information in more than 300 categories. The data is completely customizable and will work seamlessly with your current GIS system.

    Standardized Format Anchor Tenant POIs can deliver what other providers cannot: a consistent view of retail and restaurant locations in a standardized format for all locations. Two datasets combined into one standardized layout with: Unique and Persistent ids, Trade Name, Ownership and Category information for all records.

    Unique And Persistent Location ID An industry first! As in our CAP Shopping Centers dataset, our subscribers do not have to reload all records for each release. Our unique and persistent ids do not break your existing reports or your tracking lists with each update. By providing Delta Reports, CAP ensures that you know exactly what has been updated, verified or closed throughout each release, eliminating repetitive data loading and data matching from your end in every data update cycle.

  20. x

    Point of Interest (POI) Data | Global Location Data | 6M+ POIs | Retail &...

    • locations.xtract.io
    Updated Nov 16, 2024
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    Xtract (2024). Point of Interest (POI) Data | Global Location Data | 6M+ POIs | Retail & Pharmacy Store Locations | Restaurants & Shopping Malls Location Data [Dataset]. https://locations.xtract.io/products/xtract-io-poi-point-of-interest-location-data-for-us-u-xtract
    Explore at:
    Dataset updated
    Nov 16, 2024
    Dataset authored and provided by
    Xtract
    Area covered
    United Kingdom, Brazil, United States, Canada
    Description

    Massive POI database covering 6 million locations across 11 industries in the US and Canada. Includes 40+ rich data attributes for each location. Empowers data-driven decision-making across various sectors, from retail to healthcare, with high-quality, diverse location intelligence.

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TRADING ECONOMICS, Canada Household Saving Rate [Dataset]. https://tradingeconomics.com/canada/personal-savings

Canada Household Saving Rate

Canada Household Saving Rate - Historical Dataset (1961-03-31/2025-06-30)

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable 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
Mar 31, 1961 - Jun 30, 2025
Area covered
Canada
Description

Household Saving Rate in Canada decreased to 5 percent in the second quarter of 2025 from 6 percent in the first quarter of 2025. This dataset provides - Canada Personal Savings - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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