18 datasets found
  1. d

    North America POI Data | Geospatial Data | 28M+ POIs in the North America:...

    • datarade.ai
    Updated Feb 12, 2025
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    InfobelPRO (2025). North America POI Data | Geospatial Data | 28M+ POIs in the North America: USA Canada | API Dataset [Dataset]. https://datarade.ai/data-products/north-america-poi-data-geospatial-data-28m-pois-in-the-n-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    United States, Canada
    Description

    Our North America Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and North America scaled POI data featuring over 28 million verified locations across 2 countries. We have been providing this data to companies worldwide for 30 years.

    • Develop mapping and navigation tools and software.
    • Identify new areas and locations suitable for business development.
    • Analyze the presence of competitors and nearby populations.
    • Optimize routes to enhance delivery efficiency.
    • Evaluate property values based on nearby infrastructure.
    • Support disaster management by identifying high-risk areas.
    • Promote your products and services using geotargeting strategies.

    Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

  2. d

    Polygon Data | Marinas in US and Canada | Map & Geospatial Insights

    • datarade.ai
    Updated Mar 23, 2023
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    Xtract (2023). Polygon Data | Marinas in US and Canada | Map & Geospatial Insights [Dataset]. https://datarade.ai/data-products/xtract-io-geometry-data-marinas-in-us-and-canada-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

    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.

  3. C

    National Hydrography Data - NHD and 3DHP

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Apr 17, 2025
    + more versions
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    California Department of Water Resources (2025). National Hydrography Data - NHD and 3DHP [Dataset]. https://data.cnra.ca.gov/dataset/national-hydrography-dataset-nhd
    Explore at:
    pdf, csv(12977), zip(73817620), pdf(3684753), website, zip(13901824), pdf(4856863), zip(578260992), pdf(1436424), zip(128966494), pdf(182651), zip(972664), zip(10029073), zip(1647291), pdf(1175775), zip(4657694), pdf(1634485), zip(15824984), zip(39288832), arcgis geoservices rest api, pdf(437025), pdf(9867020)Available download formats
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    California Department of Water Resources
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The USGS National Hydrography Dataset (NHD) downloadable data collection from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on NHD, go to https://www.usgs.gov/core-science-systems/ngp/national-hydrography.

    DWR was the steward for NHD and Watershed Boundary Dataset (WBD) in California. We worked with other organizations to edit and improve NHD and WBD, using the business rules for California. California's NHD improvements were sent to USGS for incorporation into the national database. The most up-to-date products are accessible from the USGS website. Please note that the California portion of the National Hydrography Dataset is appropriate for use at the 1:24,000 scale.

    For additional derivative products and resources, including the major features in geopackage format, please go to this page: https://data.cnra.ca.gov/dataset/nhd-major-features Archives of previous statewide extracts of the NHD going back to 2018 may be found at https://data.cnra.ca.gov/dataset/nhd-archive.

    In September 2022, USGS officially notified DWR that the NHD would become static as USGS resources will be devoted to the transition to the new 3D Hydrography Program (3DHP). 3DHP will consist of LiDAR-derived hydrography at a higher resolution than NHD. Upon completion, 3DHP data will be easier to maintain, based on a modern data model and architecture, and better meet the requirements of users that were documented in the Hydrography Requirements and Benefits Study (2016). The initial releases of 3DHP include NHD data cross-walked into the 3DHP data model. It will take several years for the 3DHP to be built out for California. Please refer to the resources on this page for more information.

    The FINAL,STATIC version of the National Hydrography Dataset for California was published for download by USGS on December 27, 2023. This dataset can no longer be edited by the state stewards. The next generation of national hydrography data is the USGS 3D Hydrography Program (3DHP).

    Questions about the California stewardship of these datasets may be directed to nhd_stewardship@water.ca.gov.

  4. d

    Grocery Store Locations

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated May 21, 2025
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    Office of the Chief Technology Officer (2025). Grocery Store Locations [Dataset]. https://catalog.data.gov/dataset/grocery-store-locations
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    To create this layer, OCTO staff used ABCA's definition of “Full-Service Grocery Stores” (https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0)– pulled from the Food System Assessment below), and using those criteria, determined locations that fulfilled the categories in section 1 of the definition.Then, staff reviewed the Office of Planning’s Food System Assessment (https://dcfoodpolicycouncilorg.files.wordpress.com/2019/06/2018-food-system-assessment-final-6.13.pdf) list in Appendix D, comparing that to the created from the ABCA definition, which led to the addition of a additional examples that meet, or come very close to, the full-service grocery store criteria. The explanation from Office of Planning regarding how the agency created their list:“To determine the number of grocery stores in the District, we analyzed existing business licenses in the Department of Consumer and Regulatory Affairs (2018) Business License Verification system (located at https://eservices.dcra.dc.gov/BBLV/Default.aspx). To distinguish grocery stores from convenience stores, we applied the Alcohol Beverage and Cannabis Administration’s (ABCA) definition of a full-service grocery store. This definition requires a store to be licensed as a grocery store, sell at least six different food categories, dedicate either 50% of the store’s total square feet or 6,000 square feet to selling food, and dedicate at least 5% of the selling area to each food category. This definition can be found at https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0. To distinguish small grocery stores from large grocery stores, we categorized large grocery stores as those 10,000 square feet or more. This analysis was conducted using data from the WDCEP’s Retail and Restaurants webpage (located at https://wdcep.com/dc-industries/retail/) and using ARCGIS Spatial Analysis tools when existing data was not available. Our final numbers differ slightly from existing reports like the DC Hunger Solutions’ Closing the Grocery Store Gap and WDCEP’s Grocery Store Opportunities Map; this difference likely comes from differences in our methodology and our exclusion of stores that have closed.”Staff also conducted a visual analysis of locations and relied on personal experience of visits to locations to determine whether they should be included in the list.

  5. a

    Cadastral PLSS Standardized Data - Statewide

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). Cadastral PLSS Standardized Data - Statewide [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/2743028ac0864ddda7841e73793ea311
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Download .zipThis data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The metadata describes the lineage, sources and production methods for the data content. The definitions and structure of this data is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This coverage was originally created for the accurate location of the oil and gas wells in the state of Ohio. The original data set was developed as an ArcInfo coverage containing the original land subdivision boundaries for Ohio. Ohio has had a long and varied history of its land subdivisions that has led to the use of several subdivision strategies being applied. In general, these different schemes are composed of the Public Land Surveying System (PLSS) subdivisions and the irregular land subdivisions. The PLSS subdivisions contain townships, ranges, and sections. They are found in the following major land subdivisions: Old Seven Ranges, Between the Miamis (parts of which are known as the Symmes Purchase), Congress Lands East of Scioto River, Congress Lands North of Old Seven Ranges, Congress Lands West of Miami River, North and East of the First Principal Meridian, South and East of the First Principal Meridian, and the Michigan Meridian Survey. The irregular subdivisions include the Virginia Military District, the Ohio Company Purchase, the U.S. Military District, the Connecticut Western Reserve, the Twelve-Mile Square Reservation, the Two-Mile Square Reservation, the Refugee Lands, the French Grants, and the Donation Tract. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is local records and geographic control coordinates from states, counties as well as federal agencies such as the BLM, USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.This data set is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesOffice of Information TechnologyGIS Records2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

  6. d

    POI Data | Geospatial Data | Global Coverage: US UK Germany France (...) |...

    • datarade.ai
    Updated Mar 23, 2025
    + more versions
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    InfobelPRO (2025). POI Data | Geospatial Data | Global Coverage: US UK Germany France (...) | 164M+ Points of Interest | API Dataset [Dataset]. https://datarade.ai/data-products/global-places-poi-the-best-global-points-of-interest-for-you-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    France, Germany, United Kingdom, Belgium, United States
    Description

    Our Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and globally scaled POI data featuring over 164 million verified locations across 220 countries. We have been providing this data to companies worldwide for 30 years.

    • Develop mapping and navigation tools and software.
    • Identify new areas and locations suitable for business development.
    • Analyze the presence of competitors and nearby populations.
    • Optimize routes to enhance delivery efficiency.
    • Evaluate property values based on nearby infrastructure.
    • Support disaster management by identifying high-risk areas.
    • Promote your products and services using geotargeting strategies.

    Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

  7. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jun 6, 2025
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    (2025). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
    Explore at:
    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

  8. d

    POI Data | 230M+ Business Locations, Geographic & Places Insights

    • datarade.ai
    .json
    + more versions
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    Xverum, POI Data | 230M+ Business Locations, Geographic & Places Insights [Dataset]. https://datarade.ai/data-products/global-location-data-point-of-interest-poi-data-230m-g-xverum
    Explore at:
    .jsonAvailable download formats
    Dataset authored and provided by
    Xverum
    Area covered
    United States
    Description

    Xverum’s Point of Interest (POI) Data is a comprehensive dataset of 230M+ verified locations, covering businesses, commercial properties, and public places across 5000+ industry categories. Our dataset enables retailers, investors, and GIS professionals to make data-driven decisions for business expansion, location intelligence, and geographic analysis.

    With regular updates and continuous POI discovery, Xverum ensures your mapping and business location models have the latest data on business openings, closures, and geographic trends. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into geospatial analysis, market research, and navigation platforms.

    🔥 Key Features:

    📌 Comprehensive POI Coverage ✅ 230M+ global business & location data points, spanning 5000+ industry categories. ✅ Covers retail stores, corporate offices, hospitality venues, service providers & public spaces.

    🌍 Geographic & Business Location Insights ✅ Latitude & longitude coordinates for accurate mapping & navigation. ✅ Country, state, city, and postal code classifications. ✅ Business status tracking – Open, temporarily closed, permanently closed.

    🆕 Continuous Discovery & Regular Updates ✅ New business locations & POIs added continuously. ✅ Regular updates to reflect business openings, closures & relocations.

    📊 Rich Business & Location Data ✅ Company name, industry classification & category insights. ✅ Contact details, including phone number & website (if available). ✅ Consumer review insights, including rating distribution (optional feature).

    📍 Optimized for Business & Geographic Analysis ✅ Supports GIS, navigation systems & real estate site selection. ✅ Enhances location-based marketing & competitive analysis. ✅ Enables data-driven decision-making for business expansion & urban planning.

    🔐 Bulk Data Delivery (NO API) ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured formats (.csv, .json, .xml) for seamless integration.

    🏆 Primary Use Cases:

    📈 Business Expansion & Market Research 🔹 Identify key business locations & competitors for strategic growth. 🔹 Assess market saturation & regional industry presence.

    📊 Geographic Intelligence & Mapping Solutions 🔹 Enhance GIS platforms & navigation systems with precise POI data. 🔹 Support smart city & infrastructure planning with location insights.

    🏪 Retail Site Selection & Consumer Insights 🔹 Analyze high-traffic locations for new store placements. 🔹 Understand customer behavior through business density & POI patterns.

    🌍 Location-Based Advertising & Geospatial Analytics 🔹 Improve targeted marketing with location-based insights. 🔹 Leverage geographic data for precision advertising & customer segmentation.

    💡 Why Choose Xverum’s POI Data? - 230M+ Verified POI Records – One of the largest & most structured business location datasets available. - Global Coverage – Spanning 249+ countries, covering all major business categories. - Regular Updates & New POI Discoveries – Ensuring accuracy. - Comprehensive Geographic & Business Data – Coordinates, industry classifications & category insights. - Bulk Dataset Delivery (NO API) – Direct access via S3 Bucket or cloud storage. - 100% GDPR & CCPA-Compliant – Ethically sourced & legally compliant.

    Access Xverum’s 230M+ POI Data for business location intelligence, geographic analysis & market research. Request a free sample or contact us to customize your dataset today!

  9. d

    Latin America POI Data | Geospatial Data | 38M+ POIs in Latin America:...

    • datarade.ai
    Updated Feb 12, 2025
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    InfobelPRO (2025). Latin America POI Data | Geospatial Data | 38M+ POIs in Latin America: Brazil Colombia (...) | API Dataset [Dataset]. https://datarade.ai/data-products/latin-america-poi-data-geospatial-data-38m-pois-in-latin-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    Brazil, Colombia
    Description

    Our USA Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and Latin America scaled POI data featuring over 38 million verified locations across 12 countries. We have been providing this data to companies worldwide for 30 years.

    • Develop mapping and navigation tools and software.
    • Identify new areas and locations suitable for business development.
    • Analyze the presence of competitors and nearby populations.
    • Optimize routes to enhance delivery efficiency.
    • Evaluate property values based on nearby infrastructure.
    • Support disaster management by identifying high-risk areas.
    • Promote your products and services using geotargeting strategies.

    Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

  10. a

    Alabama General Manufacturing Facilities

    • hub.arcgis.com
    • data-algeohub.opendata.arcgis.com
    • +2more
    Updated Jun 16, 2021
    + more versions
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    Alabama GeoHub (2021). Alabama General Manufacturing Facilities [Dataset]. https://hub.arcgis.com/maps/5e09e5bed8be44d5bd80bf2a317c22e8
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    Dataset updated
    Jun 16, 2021
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    This dataset represents the entire Industrial PinPointer database of manufacturing companies. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. This dataset covers manufacturing locations in the State of Alabama. Homeland SecurityThis dataset includes the entire Industrial PinPointer database of manufacturing companies, which includes the 2009 D2 of 2 update. Only those locations primarily engaged in manufacturing (SIC Codes 2000-3999) or those that are headquarters of manufacturing companies are included. SIC codes are not provided for 125 companies in the US territories. Where an employee count is available, only locations employing fifteen (15) or more people are included. All text fields were set to upper case, leading and trailing spaces were trimmed from all text fields, and non-printable and diacritic characters were removed from all text fields per NGA's request.Metadata

  11. d

    Automotive Data | Car Dealers & Repair Shops in US and Canada | Places Data...

    • datarade.ai
    Updated Mar 23, 2023
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    Xtract (2023). Automotive Data | Car Dealers & Repair Shops in US and Canada | Places Data | Location Data [Dataset]. https://datarade.ai/data-products/xtract-io-polygon-data-new-car-dealers-automotive-store-l-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    This extensive location dataset offers a comprehensive mapping of automotive businesses across the United States and Canada. Auto industry researchers, business developers, and market analysts can leverage precise location information to understand market distribution, identify potential opportunities, and develop strategic insights into the automotive service sector.

    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.

  12. d

    GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business...

    • datarade.ai
    .json, .csv
    Updated Aug 13, 2024
    + more versions
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    GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    United States, Canada
    Description

    GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

    GIS Data attributes include:

    1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

    2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

    3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

    4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

    5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

    6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

    7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

    8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

    Primary Use Cases for GapMaps GIS Data:

    1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
    2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
    3. Analyse your trade areas at a granular census block level using all the key metrics
    4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
    5. Target Marketing: Develop effective marketing strategies to acquire more customers.
    6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

    7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

    8. Network Planning

    9. Customer (Risk) Profiling for insurance/loan approvals

    10. Target Marketing

    11. Competitive Analysis

    12. Market Optimization

    13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

    14. Tenant Recruitment

    15. Target Marketing

    16. Market Potential / Gap Analysis

    17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

    18. Customer Profiling

    19. Target Marketing

    20. Market Share Analysis

  13. M

    Electric Transmission Lines and Substations, 60 Kilovolt and Greater,...

    • gisdata.mn.gov
    html
    Updated Nov 22, 2024
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    Geospatial Information Office (2024). Electric Transmission Lines and Substations, 60 Kilovolt and Greater, Minnesota [Dataset]. https://gisdata.mn.gov/dataset/util-elec-trans
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    *** 7/19/22: This dataset and its accompanying map are no longer available since they are inaccurate and outdated. The Minnesota Department of Commerce is no longer maintaining or fielding requests related to this data as it has been unable to consistently obtain accurate, up-to-date information on high voltage transmission lines and substation locations from transmission owners in the state.***

    For alternative sources for transmission line and substation information, see the transmission lines and substations section of MnGeo's information webpage on utilities: https://www.mngeo.state.mn.us/chouse/utilities.html#transmission

    ----------------------------------
    Information describing the previously available dataset is provided in the rest of this metadata record for reference.
    ----------------------------------

    The electric transmission network information consisted of transmission lines, with associated substations, designed to handle 60 Kilovolts or greater.

    The Minnesota Electric Transmission Mapping Project developed two geographic information system datasets: transmission lines and substations. This metadata record describes both datasets.

    In 2002, each electric utility company was mailed a request for their facility information which could be provided in either digital or paper form. The responses varied significantly in quality and quantity. In addition, the companies expressed concerns about providing the information because of security concerns. Data users were strongly encouraged to read the data quality section of this documentation.

    Datasets were published in 2003, 2007, 2014, 2016, and 2021. In 2016 a few changes were made to improve the positional accuracy of lines and substations. The dataset was last updated in July 2021.

    The Minnesota Electric Transmission Mapping Project was a collaborative effort between the Minnesota Department of Commerce and the Minnesota Geospatial Information Office.

  14. d

    B2B Contact Data | 120M US Professional Contact Data Set | Verified Safe to...

    • datarade.ai
    .csv, .xls
    Updated Oct 26, 2023
    + more versions
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    Allforce (2023). B2B Contact Data | 120M US Professional Contact Data Set | Verified Safe to Email [Dataset]. https://datarade.ai/data-products/b2b-continuum-from-solution-publishing-120m-us-b2b-professi-solution-publishing
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description

    Solution Publishing by Allforce B2B Contact Data is a sophisticated data product crafted specifically for businesses aiming to bolster their B2B marketing and outreach efforts. This data set amalgamates a wealth of information, providing businesses with unparalleled insights into their target audience, paving the way for more personalized and impactful marketing campaigns.

    Key Features of the Product:

    Comprehensive Contact Information: Gain access to full contact details for an astounding 120 million US business contacts. This vast repository ensures you have the means to reach out to potential leads across a diverse range of sectors.

    Multiple Contact Points: The product is equipped with Business Email details, Telemarketing numbers, and Mobile Phones, ensuring multiple avenues of communication for your marketing and sales teams.

    Locational Data: Receive detailed information about both company and individual locations. This geospatial data can be invaluable in tailoring your marketing strategies based on regional preferences and nuances.

    Insightful Intent Data Signals: Benefit from intent data signals for 35 million US businesses. This data provides a glimpse into the future needs and preferences of businesses, allowing you to adapt your marketing strategies proactively.

    Rich Technographics and Firmographics: Dive deep into the technology landscape and organizational structures of businesses with the available B2B Technographics and Firmographic data. This ensures that your messaging is not just broad but intricately tailored to resonate with your audience.

    LinkedIn Profile Insights: Leverage valuable LinkedIn Profile data to get a holistic view of your target contacts. This feature provides deeper insights into professional backgrounds, endorsements, connections, and more, enabling even more personalized engagement strategies.

    Benefits of using Solution Publishing by Allforce:

    Precision Targeting: With a wealth of contact points and detailed firmographic data, you can ensure that your outreach efforts are directed precisely where they matter the most.

    Enhanced Engagement: Leveraging intent data lets you align your messaging with the prospective needs of businesses, leading to increased engagement and improved conversion rates.

    Holistic Outreach: Whether it's through email, phone, or telemarketing, the multiple contact points ensure that your message reaches its intended audience through their preferred channel.

    Strategic Planning: With access to technographic data, businesses can plan their offerings based on the technology stack of their potential clients, ensuring greater compatibility and alignment.

    Data-Driven Insights: This product empowers businesses to make decisions rooted in data, ensuring strategies that are both impactful and efficient. Our data is a strategic tool that empowers businesses to redefine their B2B outreach, fostering relationships that drive growth and success.

  15. d

    Automotive Data | Automotive & Repair Shop Locations in US and Canada |...

    • datarade.ai
    Updated Mar 23, 2023
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    Xtract (2023). Automotive Data | Automotive & Repair Shop Locations in US and Canada | Store Location Data [Dataset]. https://datarade.ai/data-products/xtract-io-polygon-data-automotive-and-repair-shops-in-us-an-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    United States, Canada
    Description

    Xtract.io's comprehensive location data for automotive businesses delivers a detailed view of the automotive service sector. Industry researchers, business developers, and market analysts can utilize this dataset to understand market distribution, identify potential opportunities, and develop strategic insights into automotive service 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.

  16. 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

    This detailed location dataset provides a comprehensive mapping of pharmaceutical retail across the United States and Canada. Healthcare planners, market researchers, and business strategists can leverage precise location information to analyze healthcare access, identify market opportunities, and develop targeted strategies in the pharmaceutical retail sector.

    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.

  17. d

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

    • datarade.ai
    Updated Mar 27, 2023
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    Xtract (2023). Product Data | Home Furnishing & Electronics Store Locations in US and Canada | 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.

  18. Data from: Illinois Railroads

    • gis-idot.opendata.arcgis.com
    • hub-ssmma-gis.opendata.arcgis.com
    • +1more
    Updated Feb 20, 2015
    + more versions
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    Illinois Department of Transportation (2015). Illinois Railroads [Dataset]. https://gis-idot.opendata.arcgis.com/datasets/6f8749f03dd944849510a0eb2d2ae6c6
    Explore at:
    Dataset updated
    Feb 20, 2015
    Dataset authored and provided by
    Illinois Department of Transportationhttp://www.dot.il.gov/
    License

    Attribution-ShareAlike 2.0 (CC BY-SA 2.0)https://creativecommons.org/licenses/by-sa/2.0/
    License information was derived automatically

    Area covered
    Description

    Illinois is at the center of the nation’s rail network. It has a comprehensive rail network consisting of approximately 9,982 miles of railroad tracks, 7,792 of which are operated by Class I railroads – primarily BNSF Railway and the Union Pacific Railroad (UP). Class I railroads are large freight companies, Class II and Class III are small regional railroad companies. The remaining 2,190 miles of track are operated by Class III short line or regional railroads. A total of 41 railroads currently operate in Illinois. They range in size from a short one-mile interstate carrier to larger railroads extending from Illinois to the West and East Coasts, Gulf of Mexico, Canada, and Mexico. Seven are freight (Class I) carriers and 34 are regional, local, switching and terminal railroads. In all, 40 railroads are able to provide service from Illinois to every part of the United States. Chicago is the largest US rail gateway and there is another major rail center located in East St. Louis. Rail’s importance to both Chicago and the state is highlighted by the fact that over 1,300 freight, passenger and commuter trains pass through the Chicago region every day and, in 2011, Illinois ranked first in the nation in terms of rail freight volume at 490.4 million tons.Updated from IDOT Illinois Railroads MapBase source 9/19/2019

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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InfobelPRO (2025). North America POI Data | Geospatial Data | 28M+ POIs in the North America: USA Canada | API Dataset [Dataset]. https://datarade.ai/data-products/north-america-poi-data-geospatial-data-28m-pois-in-the-n-infobelpro

North America POI Data | Geospatial Data | 28M+ POIs in the North America: USA Canada | API Dataset

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Feb 12, 2025
Dataset authored and provided by
InfobelPRO
Area covered
United States, Canada
Description

Our North America Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and North America scaled POI data featuring over 28 million verified locations across 2 countries. We have been providing this data to companies worldwide for 30 years.

  • Develop mapping and navigation tools and software.
  • Identify new areas and locations suitable for business development.
  • Analyze the presence of competitors and nearby populations.
  • Optimize routes to enhance delivery efficiency.
  • Evaluate property values based on nearby infrastructure.
  • Support disaster management by identifying high-risk areas.
  • Promote your products and services using geotargeting strategies.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

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