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.

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.

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.

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 COVID-19 outbreak is changing the traffic flow in all countries. Using Apple Maps data (provided by apple), can we analyze the traffic flow and transportation means used by most people these days. Is there a different trend across countries?

This dataset includes hundreds of sub-regions and cities across countries so that we can get a good idea about the transportation means preferred across countries. The data is also given for a duration of time, so we can see if as the virus progresses, does traffic also change.

This data was provided by Apple, after removing all user-related information.

The Location-Based Services (LBS) market, currently valued at approximately $87.65 billion in 2025, is projected for robust growth over the forecast period (2025-2033). While the exact CAGR is unspecified, considering the rapid technological advancements in mobile devices, AI, and increased data availability, a conservative estimate places the annual growth rate in the range of 12-15%. Key drivers fueling this expansion include the proliferation of smartphones and increased mobile internet penetration, particularly in emerging economies. The rising adoption of IoT devices further contributes to LBS market growth by generating location data from various sources. Furthermore, the increasing demand for personalized experiences and targeted advertising, leveraging location data, is another significant factor driving market expansion. The integration of LBS with other technologies like augmented reality (AR) and virtual reality (VR) is opening up new avenues for innovation and application development, further accelerating market growth. However, challenges remain. Data privacy concerns and regulatory hurdles surrounding the collection and use of location data pose significant restraints. Ensuring data security and user consent are crucial for sustainable growth in this sector. Competitive pressures from established tech giants like Google, Apple, and Facebook, as well as the emergence of innovative start-ups, create a dynamic and competitive landscape. Nevertheless, the long-term outlook for the LBS market remains positive, driven by ongoing technological advancements and the increasing reliance on location intelligence across diverse sectors, including transportation, retail, and healthcare. The market segmentation is likely diverse, encompassing various applications like navigation, location-based advertising, and tracking solutions, each contributing to the overall market value.

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.

Mobility Trends Reports

Learn about COVID⁠-⁠19 mobility trends in countries/regions and cities. Reports are published daily and reflect requests for directions in Apple Maps. Privacy is one of our core values, so Maps doesn’t associate your data with your Apple ID, and Apple doesn’t keep a history of where you’ve been.

Sourced directly from Apple

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.

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>