100+ datasets found
  1. E

    Google Maps Statistics And Facts [2025]

    • electroiq.com
    Updated Mar 24, 2025
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    Electro IQ (2025). Google Maps Statistics And Facts [2025] [Dataset]. https://electroiq.com/stats/google-maps-statistics/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Google Maps Statistics: Google Maps has changed how we used to navigate or explore the world. In 2024, it will most certainly become the ultimate mapping service, getting so much more than most other services and boasting so many more users. This article will discuss some of the Google Maps statistics its global coverage, technology achievements, and downloads.

  2. S

    Google Maps Statistics By Region, Demographics And Facts (2025)

    • sci-tech-today.com
    Updated May 14, 2025
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    Sci-Tech Today (2025). Google Maps Statistics By Region, Demographics And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/google-maps-statistics-updated/
    Explore at:
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Google Maps statistics:Â Google Maps, launched in 2005, has evolved from a basic navigation tool into a comprehensive platform integral to daily life. As of October 2024, it surpassed 2 billion monthly active users, making it one of the most widely used applications globally. The platform hosts over 200 million businesses and places, with more than 120 million Local Guides contributing daily through reviews, photos, and updates.

    Users collectively contribute over 20 million pieces of information daily, enhancing the map's accuracy and utility. In 2023, Google Maps generated approximately USD 11.1 billion in revenue, primarily from advertising and API services. The platform's extensive reach and user engagement underscore its pivotal role in modern navigation and local discovery.

    In the following article, we shall study the essential Google Maps statistics related to the application, which will help illustrate the immensity of its operations.

  3. Most popular navigation apps in the U.S. 2023, by downloads

    • statista.com
    Updated Mar 4, 2024
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    Statista (2024). Most popular navigation apps in the U.S. 2023, by downloads [Dataset]. https://www.statista.com/statistics/865413/most-popular-us-mapping-apps-ranked-by-audience/
    Explore at:
    Dataset updated
    Mar 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

    Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

    Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

  4. S

    Google Maps Statistics 2025: Navigation, Business Integration, and More

    • sqmagazine.co.uk
    Updated Jul 22, 2025
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    SQ Magazine (2025). Google Maps Statistics 2025: Navigation, Business Integration, and More [Dataset]. https://sqmagazine.co.uk/google-maps-statistics/
    Explore at:
    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    It’s a crisp fall morning in Portland. A local barista opens her shop and pulls out her phone to check delivery routes for fresh beans. She taps the familiar red-and-white pin icon—Google Maps. Across the globe in Tokyo, a student uses Street View to navigate to his university. Meanwhile, a...

  5. d

    California State Waters Map Series--Point Sur to Point Arguello Web Services...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). California State Waters Map Series--Point Sur to Point Arguello Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-point-sur-to-point-arguello-web-services
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    California, Point Arguello
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Sur to Point Arguello map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Sur to Point Arguello map area data layers. Data layers are symbolized as shown on the associated map sheets.

  6. Internet users who accessed maps/navigation services on a smartphone in 2022...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Internet users who accessed maps/navigation services on a smartphone in 2022 [Dataset]. https://www.statista.com/statistics/479893/internet-users-who-accessed-maps-gps-on-smartphone-within-the-last-month-usa/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic illustrates the share of internet users who used online maps / navigation services on a smartphone in the past 4 weeks in the United States in 2022, by age. The results were sorted by age. In 2022, some ** percent of respondents aged 18 to 29 years stated they used online maps / navigation services on a smartphone in the past 4 weeks.

    The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

  7. d

    Data from: California State Waters Map Series--Santa Barbara Channel Web...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). California State Waters Map Series--Santa Barbara Channel Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-santa-barbara-channel-web-services
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Santa Barbara Channel
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Santa Barbara Channel map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Santa Barbara Channel map area data layers. Data layers are symbolized as shown on the associated map sheets.

  8. e

    Statistics on maps

    • data.europa.eu
    unknown
    Updated Apr 6, 2025
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    (2025). Statistics on maps [Dataset]. https://data.europa.eu/88u/dataset/https-data-norge-no-node-2031
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Apr 6, 2025
    License

    https://data.norge.no/nlod/en/2.0/https://data.norge.no/nlod/en/2.0/

    Description

    Map portal with access to WMS and WFS services for, inter alia, base circuits, urban settlements and grid statistics.

  9. s

    Visualization & Mind Maps Plugin Statistics

    • system3.md
    Updated Feb 9, 2025
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    System 3 (2025). Visualization & Mind Maps Plugin Statistics [Dataset]. https://system3.md/observatory/categories/visualization-mindmaps
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    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    System 3
    Description

    Download statistics and trends for 127 plugins in the Visualization & Mind Maps category

  10. People who use their cell phone for maps/GPS navigation in the U.S. 2023, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). People who use their cell phone for maps/GPS navigation in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/231615/people-who-use-their-cell-phone-for-maps-gps-navigation-usa/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Dec 2023
    Area covered
    United States
    Description

    This statistic illustrates the share of people who used their cell phone for maps/GPS navigation (in the last four weeks) in the United States as of 2023. The results were sorted by age. As of *************, some ** percent of respondents aged 18 to 29 years stated they used their cell phone for maps/GPS navigation. The survey was conducted in 2023, among ***** respondents. Access millions of exclusive survey results with Statista Consumer Insights.

  11. 2021 Census - Reference maps

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    pdf
    Updated Apr 13, 2022
    + more versions
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    Statistics Canada (2022). 2021 Census - Reference maps [Dataset]. https://open.canada.ca/data/dataset/d8b89e72-dd02-40b2-a74d-f0235635314e
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

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

    Description

    Reference maps illustrate the location of census standard geographic areas for which census statistical data are tabulated and disseminated. The maps display the boundaries, names and unique identifiers of standard geographic areas, as well as physical features such as streets, railroads, coastlines, rivers and lakes. Reference maps include: Standard Geographical Classification (SGC) Census tracts Federal electoral districts

  12. Internet usage: route planning and road maps (e.g. Google Maps) in Germany...

    • statista.com
    Updated Nov 10, 2016
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    Statista (2016). Internet usage: route planning and road maps (e.g. Google Maps) in Germany 2013-2016 [Dataset]. https://www.statista.com/statistics/432169/online-route-planning-and-map-usage-eg-google-maps-germany/
    Explore at:
    Dataset updated
    Nov 10, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    This statistic shows the results of a survey on the usage of the internet for route planning, maps and road maps (e.g. Google Maps) in Germany from 2013 to 2016. In 2016, there were about ***** million people among the German-speaking population aged 14 years and older, who frequently used the internet to plan routes or to access maps and road maps.

  13. Northeast State Polygon

    • data.ct.gov
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated Jan 29, 2025
    + more versions
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    Department of Energy and Environmental Protection (2025). Northeast State Polygon [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/Northeast-State-Polygon/y2vj-4hfs
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    csv, application/rssxml, json, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Connecticut Department of Energy and Environmental Protectionhttps://www.ct.gov/deep/
    Authors
    Department of Energy and Environmental Protection
    Description

    Northeastern United States State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

  14. a

    CFD Stats Map

    • milpitas-gis-milpitas.hub.arcgis.com
    Updated Mar 17, 2020
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    MilpitasTech (2020). CFD Stats Map [Dataset]. https://milpitas-gis-milpitas.hub.arcgis.com/maps/f0ab0e3d156646ddb1171b5c740f203b
    Explore at:
    Dataset updated
    Mar 17, 2020
    Dataset authored and provided by
    MilpitasTech
    Area covered
    Description

    City of Milpitas (CFDs) Community Financial Districts broken down by APNs. CFDs are classified to District 2005 and District 2008.Searchable Layers in Map:CFD Parcels Open & Closed - Subdivision Name

  15. Mapping - Census Hub How To

    • census.geohive.ie
    Updated Aug 2, 2024
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    Central Statistics Office (2024). Mapping - Census Hub How To [Dataset]. https://census.geohive.ie/documents/31b08ebcf0e44a2fa8d4a8e00b8d2907
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    Dataset updated
    Aug 2, 2024
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    Authors
    Central Statistics Office
    License

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

    Description

    The Census Data Hub allows you to create your own maps through ArcGIS Online. ArcGIS Online is a cloud-based mapping and analysis solution used to make maps, to analyse data, and to share and collaborate. This guide will show you how to create your own map that reflects and analyses your data of interest.Topics covered include: Creating a map:Finding the dataLabelingStylingDisplaying percentagesAdd detail to an area of interest on your map:Adding a new theme table layer to your mapLayer selectionFilteringFinding the distribution of households built in 2016 or later by Electoral DivisionExporting a map to PDF

  16. State Geologic Map Compilation

    • hub.arcgis.com
    • idaho-epscor-gem3-uidaho.hub.arcgis.com
    • +2more
    Updated Sep 20, 2017
    + more versions
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    Esri U.S. Federal Datasets (2017). State Geologic Map Compilation [Dataset]. https://hub.arcgis.com/maps/6672e543686043d4890ead7ee4665dcc
    Explore at:
    Dataset updated
    Sep 20, 2017
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    State Geologic Map CompilationThis web map portrays the U.S. Geological Survey's (USGS) State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States. The SGMC represents a seamless, spatial database of 48 State geologic maps. Per USGS, "A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual USGS releases of the Preliminary Integrated Geologic Map Databases for the U.S."A full discussion of the procedures and methodology used to create this dataset is available in the accompanying report: Horton, J.D., San Juan, C.A., and Stoeser, D.B, 2017, The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States (ver. 1.1, August 2017): U.S. Geological Survey Data Series 1052, 46p.State Geologic Map CollectionData currency and source: See individual layers listed below.For more information: The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States For feedback please contact: ArcGIScomNationalMaps@esri.comLayers:State Geologic Map Compilation – PointsState Geologic Map Compilation – StructureState Geologic Map Compilation – GeologyState Geologic Map Compilation - Vector TilesU.S. Geological SurveyPer USGS, "The USGS provides science about the natural hazards that threaten lives and livelihoods; the water, energy, minerals, and other natural resources we rely on; the health of our ecosystems and environment; and the impacts of climate and land-use change."

  17. Global market size of HD mapping for autonomous vehicles 2020 & 2028

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Global market size of HD mapping for autonomous vehicles 2020 & 2028 [Dataset]. https://www.statista.com/statistics/565809/global-market-size-for-mapping-in-vehicles/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    The global HD maps for autonomous vehicles market was sized at almost *** billion U.S. dollars in 2020. It is forecast that in 2028, the market will surpass the size of **** billion U.S. dollars, growing at a steady CAGR of around ** percent.

  18. U

    Data from: California State Waters Map Series--Monterey Canyon and Vicinity...

    • data.usgs.gov
    • s.cnmilf.com
    • +2more
    Updated Jan 1, 2015
    + more versions
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    Samuel Johnson; Peter Dartnell; Guy Cochrane; Nadine Golden; Andrew Ritchie; David Finlayson; Rikk Kvitek; H. Greene; Katherine Maier; Charles Endris; Stephen Hartwell; C.W. Davenport; Bryan Dieter; Mercedes Erdey; Guy Cochrane; Susan Cochran (2015). California State Waters Map Series--Monterey Canyon and Vicinity Web Services [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:5575f63ae4b032353cadc7cd
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    Dataset updated
    Jan 1, 2015
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Samuel Johnson; Peter Dartnell; Guy Cochrane; Nadine Golden; Andrew Ritchie; David Finlayson; Rikk Kvitek; H. Greene; Katherine Maier; Charles Endris; Stephen Hartwell; C.W. Davenport; Bryan Dieter; Mercedes Erdey; Guy Cochrane; Susan Cochran
    License

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

    Time period covered
    2006 - 2015
    Area covered
    Monterey Canyon, Monterey County
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, ...

  19. User data collection in select mobile iOS map apps worldwide 2021, by type

    • statista.com
    Updated Jul 7, 2022
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    Statista (2022). User data collection in select mobile iOS map apps worldwide 2021, by type [Dataset]. https://www.statista.com/statistics/1305079/data-points-collected-gps-map-apps-ios-by-type/
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    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2021
    Area covered
    Worldwide
    Description

    As of March 2021, Waze was the mobile GPN navigation app found to collect the largest amount of data from global iOS users, with 21 data points collected across all examined segments. Maps.me collected a total of 20 data points from its users, including five data points on contact information. Hiking and trail GPS map Gaia followed, with 13 data points, respectively.

  20. a

    Paua Statistical Areas

    • hub.arcgis.com
    • data-mpi.opendata.arcgis.com
    Updated Sep 24, 2019
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    Ministry for Primary Industries (2019). Paua Statistical Areas [Dataset]. https://hub.arcgis.com/maps/MPI::paua-statistical-areas
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    Dataset updated
    Sep 24, 2019
    Dataset authored and provided by
    Ministry for Primary Industries
    Area covered
    Description

    Paua Statistical AreasLegal definitions for all Paua statistical areas were sourced from the Certified Statistical area maps held in Ministry for Primary Industries legal document safe. The Statistical area maps for Paua are Maps 11, 11a – k, m – n, p – v: Paua Statistical Areas. The seaward boundary of these areas is ambiguously defined, and for the purposes of mapping, has been assessed as being 30 km from the coast or at the intersection with another boundary statistical area boundary.All boundaries have been generalised inland where they reach the coastline. An authoritative coastal boundary of these statistical areas is dependent on the "mean high water mark". An accurate digital version of the mean high water mark for New Zealand does not exist at this stage. This information layer is considered reasonably accurate but not authoritative.The outer New Zealand’s Exclusive Economic Zone (EEZ) boundary used to created these statistical areas was sourced from Land Information New Zealand (LINZ).

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Electro IQ (2025). Google Maps Statistics And Facts [2025] [Dataset]. https://electroiq.com/stats/google-maps-statistics/

Google Maps Statistics And Facts [2025]

Explore at:
Dataset updated
Mar 24, 2025
Dataset authored and provided by
Electro IQ
License

https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

Time period covered
2022 - 2032
Area covered
Global
Description

Introduction

Google Maps Statistics: Google Maps has changed how we used to navigate or explore the world. In 2024, it will most certainly become the ultimate mapping service, getting so much more than most other services and boasting so many more users. This article will discuss some of the Google Maps statistics its global coverage, technology achievements, and downloads.

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