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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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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TwitterSafeGraph 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.
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TwitterWe 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 187 verified Save-On-Foods locations in Canada with complete contact information, ratings, reviews, and location data.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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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).
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TwitterQuarterly current and capital accounts for the household sector, including property income, disposable income, net saving and net lending, Canada.
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TwitterXtract.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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 567 verified Barber supply store businesses in Canada with complete contact information, ratings, reviews, and location data.
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TwitterXtract.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.
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TwitterXtract.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.
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TwitterThis 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 ...).
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TwitterDetailed 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.
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Twitterhttps://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
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.
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TwitterDRAKO'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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 150 verified Save-On-Foods Pharmacy locations in Canada with complete contact information, ratings, reviews, and location data.
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TwitterRestaurant 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.
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TwitterXtract.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.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Midwives are on the front lines, adapting their services so that women continue to get the care they need.
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TwitterAnchors & 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.
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TwitterMassive 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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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.