As of October 2020, the average amount of mobile data used by Apple Maps per 20 minutes was 1.83 MB, while Google maps used only 0.73 MB. Waze, which is also owned by Google, used the least amount at 0.23 MB per 20 minutes.

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.

Key Navigation StatisticsTop Navigation AppsNavigation App RevenueGoogle Maps RevenueNavigation Revenue by CountryNavigation App UsageMapping and navigation apps are a ubiquitous element of...

Context

This data was made available on April 14th by Apple as an effort to expand the available data for the COVID response. The data is then augmented with some geography and population data. If there is other enriching information anyone thinks would be valuable please leave a note in the discussion!

Content

The data is geographically divided into countries/regions, but does have some greater specificity in some larger/capitol cities. The data is broken down into two main categories: walking and driving. This data set measures the change in routing requests since January 13, 2020 across those two categories on a daily abases and per geographical division. A full data description can be found on the Apple web site. under > About This Data

Acknowledgements

This data is sourced daily from the Apple website and is then enriched with other publicly available information.

Terms of Use

You may use Mobility Trends Reports provided on the Site, including any updates thereto (collectively, the “Apple Data”), only for so long as reasonably necessary to coordinate a response to COVID-19 public health concerns (including the creation of public policy) while COVID-19 is defined as a pandemic by the World Health Organization. You will not use the Apple Data to attempt to derive the identity or movements of any specific end user or device. Except as expressly set forth herein, Apple will retain all of its rights, title and interest in the Apple Data and no other licenses or rights are granted or to be implied.

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.

The digital maps market, valued at $16,160 million in 2025, is projected to experience robust growth, driven by the increasing adoption of smartphones, the expansion of location-based services (LBS), and the rising demand for advanced navigation and mapping features in autonomous vehicles. The Compound Annual Growth Rate (CAGR) of 14.6% from 2025 to 2033 indicates a significant market expansion, with substantial opportunities for established players like Apple, Google, and TomTom, as well as emerging companies specializing in niche applications. Key growth drivers include the integration of digital maps with IoT devices, the development of highly accurate and detailed 3D maps, and the increasing use of map data for urban planning and infrastructure management. The market is segmented based on various factors, including map type (2D, 3D), application (navigation, location-based services, GIS), and deployment (cloud, on-premise). While data limitations prevent a precise regional breakdown, it's reasonable to expect North America and Europe to hold significant market shares, reflecting their advanced technological infrastructure and high smartphone penetration. Competitive intensity is high, with companies focusing on innovation in areas such as real-time traffic updates, augmented reality navigation, and personalized map experiences to gain market share. The market's future hinges on continuous technological advancements, data accuracy, and effective address of privacy concerns surrounding user location data. The substantial growth anticipated for the digital maps market is further fueled by the increasing integration of maps into diverse sectors, such as logistics and delivery services, emergency response systems, and even the gaming industry. The shift toward cloud-based mapping solutions offers scalability and cost-effectiveness, while the use of artificial intelligence and machine learning enhances map accuracy, personalization, and predictive capabilities. However, challenges remain, including the need for robust data security measures, addressing potential biases in map data, and ensuring consistent global map coverage, particularly in underdeveloped regions. The competitive landscape will continue to evolve, with strategic partnerships, mergers and acquisitions, and the development of innovative mapping technologies playing crucial roles in shaping the market's future trajectory. The forecast period of 2025-2033 represents a significant opportunity for companies to capitalize on the growth trends and establish themselves as leaders in this dynamic and rapidly expanding market.

Map Data Services market has a significant presence globally, with a market size valued at XXX million in 2025. It is projected to expand at a CAGR of XX% during the forecast period, reaching XXX million by 2033. The growth of the market is primarily driven by the increasing demand for accurate and reliable map data for various applications such as navigation, location-based services, and urban planning. Additionally, the rise of autonomous vehicles and the adoption of advanced technologies like augmented reality and virtual reality are further contributing to the demand for map data. The key players in the Map Data Services market include Google, WikiMapia, Apple Maps, Here, Bing Maps, Navinfo, TomTom, Mapbox, Esri, AutoNavi, Baidu Apollo, Sanborn, Yandex, Azure Maps, OpenStreetMap, and ArcGIS. These companies offer a wide range of map data products and services to meet the diverse needs of various industries and consumers. The market is segmented by application, type, and region, providing a comprehensive overview of the industry landscape and competitive dynamics. North America, Europe, and Asia Pacific are the major regional segments of the market, with North America holding a significant share due to the presence of major technology companies and the adoption of advanced technologies.

Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans and the current status of the MRGP segments and outlets on the map.MRGP Fieldworker SolutionNotes on MRGP fieldworker solution: July 12, 2021. The MRGP map now displays the current status of road segments and outlets. Fieldworkers using the MRGP solution should remove the offline map area(s) from their device, and keep their new offline map current, by syncing their map. Enabling auto-sync will get you the current segment or outlet status automatically. See FAQ section below for more information. Road Erosion Inventory forms are available and have a new look and feel this year. The drainage ditch survey is broken out into three pages for a better user experience. The first page contains survey and segment information, the second; the inventory, and the third; barriers to implementation. You will notice the questions are outlined by section so it’s easier to follow along too. The questions have remained the same. Survey123 has a new option requiring users to update surveys on their mobile device. That option has been enabled for the two MRGP Survey123 forms. Step 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Collector or Field Maps and Survey123. ArcGIS Collector or Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory. ArcGIS Field Maps is ESRI’s new all-in-one app for field work and will replace ArcGIS Collector. You can download ArcGIS Collector or ArcGIS Fields Maps and Survey123 from the Google Play Store.You can download ArcGIS Collector or ArcGIS Field Maps and Survey123 from Apple Store.

Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, please contact your Regional Planning Commission’s Transportation Planner or Jim Ryan (MRGP Program Lead) at (802) 490-6140.Open Collector for ArcGIS, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUse your location, button circled in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

Step 6: Repeat!Go back to the ArcGIS Collector or Field Maps and select the next segment for inventory and repeat steps 1-5.

If you have question related to inventory protocol reach out to Jim Ryan, MRGP Program Lead, at jim.ryan@vermont.gov, (802) 490-6140If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

The location where I'm doing inventory does not have a data coverage (LTE or 4G). What can I do?ArcGIS Collector allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/OEsJrCVT8BISurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.Where can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/maps/VTANR::mrgp-scoring-open-data/aboutHow do I use my own ArcGIS Collector map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

Hydrologically connected segments (lines):Update Road Segment Status

Segment ID: {SegmentID}
Segment Status: {SegmentStatus}
{RoadName}, {Municipality}
Outlets: {Outlets}
Hydrologically connected outlets (points):Update Outlet Status

Outlet ID: {OutletID}
Municipality: {Municipality}
Erosion: {ErosionValue}

How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

Where can I view the Road Erosion Inventories completed with Survey123? Using the MRGP credentials you have access to another map that shows completed REIs.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2021 data collected with Survey123?Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f8a11de8a5a0469596ef11429ab49465Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=ae13a925a662490184d5c5b1b9621672Where can I download the 2019 data collected with Survey123?

Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f60050c6f3c04c60b053470483acb5b1 Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=753006f9ecf144ccac8ce37772bb2c03 Where can I download the 2018 data collected with Survey123?Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=124b617d142e4a1dbcfb78a00e8b9bc5Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=8abcc0fcec0441ce8ae6cd38e3812b1b Where can I download the Hydrologically Connected Road Segments and Outlets?Vermont Open Data Geoportal - https://geodata.vermont.gov/datasets/VTANR::hydrologically-connected-road-segments-1/about

This 2019 version of the MRGP Outlets is based on professional mapping completed using DEC's Stormwater Infrastructure dataset. In catch basin systems, work was completed to match outlets to road segments that drain to them. The outlets here correspond to Outlet IDs identified in the Hydrologically connected roads segments layer. For outlets that meet standard, road segments will also meet the standard for MRGP compliance.

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points). All of the Digital City Map (DCM) datasets are featured on the Streets App All previously released versions of this data are available at BYTES of the BIG APPLE- Archive Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

All of the Digital City Map (DCM) datasets are featured on the Streets App

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

The global delivery driver GPS app market is experiencing robust growth, driven by the burgeoning e-commerce sector and the increasing demand for efficient last-mile delivery solutions. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $45 billion by 2033. This growth is fueled by several key factors. Firstly, the rise of on-demand delivery services and the expansion of e-commerce necessitate reliable and efficient navigation and route optimization tools for delivery drivers. Secondly, the integration of advanced features like real-time traffic updates, delivery optimization algorithms, and proof-of-delivery functionalities enhances operational efficiency and customer satisfaction, driving adoption. Finally, the increasing affordability and accessibility of smartphones and robust mobile data networks have broadened the market reach. Significant market segmentation exists, with cloud-based solutions dominating due to their scalability and cost-effectiveness. However, on-premises solutions maintain a presence, especially among businesses with stringent data security requirements. The market is highly competitive, with established players like Google, Apple, and TomTom alongside a range of specialized providers catering to specific niches. North America and Europe currently hold the largest market shares, reflecting high e-commerce penetration and technological adoption rates. However, rapid growth is anticipated in Asia-Pacific regions due to increasing smartphone usage and the expansion of e-commerce in developing economies. The competitive landscape is dynamic, with both established tech giants and specialized startups vying for market share. Strategic partnerships, acquisitions, and continuous product innovation are key strategies employed by companies to gain a competitive edge. Challenges include data privacy concerns, the need for accurate and up-to-date map data, and ensuring seamless integration with existing logistics systems. Despite these challenges, the long-term outlook for the delivery driver GPS app market remains positive, with continued growth fueled by technological advancements and the ever-increasing reliance on efficient delivery networks. Future growth will likely be shaped by the integration of Artificial Intelligence (AI) for route optimization and predictive analytics, as well as the expansion into new markets and applications within the broader logistics industry.

This raster dataset represents the agricultural census data quality for cashew apple crop yields. Data quality categories include (0= missing, 0.25= county level census data, 0.5= interpolated with census data from within 2 degrees of latitude/longitude, 0.75= state level census data, 1= country level census data). Croplands cover ~15 million km2 of the planet and provide the bulk of the food and fiber essential to human well-being. Most global land cover datasets from satelites group croplands into just a few categories, thereby excluding information that is critical for answering key questions ranging from biodiversity conservation to food security to biogeochemical cycling. Information about agricultural land use practices like crop selection, yield, and fertilizer use is even more limited.Here we present land use data sets created by combining national, state, and county level census statistics with a recently updated global data set of croplands on a 5 minute by 5 minute (~10km x 10 km) latitude/longitude grid. Temporal resolution: Year 2000- based of average of census data between 1997-2003.

The Capital Planning Platform is a new resource for collaborative planning, powered by open data and open source technology.The New York City Department of City Planning pioneered open data with Bytes of the Big Apple a decade ago. With the creation of the DCP"s Capital Planning Division in 2014, we envisioned a new civic technology resource: the Capital Planning Platform - a place for planners to access the maps, data, and analytics that they need to plan for public investments in neighborhoods and collaborate with one another. The NYC Facilities Explorer (beta) is a first step in building this vision. Over the months and years to come, we plan to add more map layers, new and improved datasets, and new analysis tools to this mapping platform to help automate a broad array of planning analyses and make the capital planning process more efficient, coordinated, and strategic across the public and private sectors in New York City.The Capital Planning Platform complements other data and maps that DCP produces. We also encourage users to explore the following resources, among others, on DCP"s website.NYC Census FactFinder - An interactive tool for creating demographic, social, economic, and housing profiles for neighborhoods and user-defined groupings of Census tracts.PLUTO and MapPLUTO - Extensive land use and geographic data at the tax lot level in multiple formats.Zoning and Land use Application (ZoLA) – ZoLA provides a simple way to research zoning regulations in New York City.Waterfront Access Map - This interactive map identifies and provides information about New York City’s inventory of publicly-accessible waterfront spaces.Community Portal - The DCP Community Portal offers resources on a variety of topics related to land use, community planning, and demographic trends for each of New York City’s 59 Community Boards

We always store the most current GTFS data set in this resource. This is updated approximately weekly. Data sets in GTFS format include information on lines, stops, routes, timetable data, etc. and are integrated into map services such as Google Maps, among other things. GTFS stands for General Transit Feed Specification (GTFS) and originally comes from Google. Initially, this format for displaying timetable data was also known as the “Google Transit Feed Specification”. GTFS has now become the de facto standard and “Google” has become a “general”. But this is just a background delicacy... Data sets in GTFS format include information on lines, stops, routes, timetable data, etc. and are integrated into map services such as Google Maps, among other things. Other providers of information and map services such as Bing, Apple maps, moovit, moovel, citymapper, etc. also use this format. Our GTFS data packages provide you with all the important timetable data for our rnv lines. You can find detailed documentation on how the GTFS data sets are structured directly on Google: "GTFS Specification" We store them automatically in our rnv-GTFS resource always the most current data set. Accordingly, you can always reach it directly via the constant URL: https://gtfs-sandbox-dds.rnv-online.de/latest/gtfs.zip... What else you should know about our GTFS packages: < ul>