What is Mobility Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Mobility Data?
Mobility data is information collected from various sources, such as smartphones, GPS devices, and transportation systems, that provides insights into people’s movement patterns and transportation behaviors. Mobility data is valuable for urban planning, traffic management, transportation optimization, and developing smart city solutions.
What Are Examples of Mobility Data?
Mobility data can come in several forms, including:
- Foot traffic data collected from sensors and cameras: Monitors pedestrian movement in specific areas.
- GPS location data from smartphones and vehicles: Provides real-time location and movement patterns.
- Public Transit Data: Usage statistics, schedules, and routes for buses, trains, or subways.
- Data from mobility apps and services: Includes information from ride-sharing, bike-sharing, and navigation apps.
- Commuting Patterns: Insights into how people travel between work, home, and other destinations.
Editor's Pick
Featured datasets
Mobile Location Data | United States | +300M Unique Devices | +150M Daily Users | +200B Events / Month
Intuizi Country Origin Dataset | Geospatial Mobility detail data for 94 countries | Cloud delivery | 400m Uniques, updated daily
Mobile Location Data | NORTH AMERICA | Mobility Data | Foot Traffic Data | Mobile Device GPS
Best Mobility Databases & Datasets
The best mobility datasets provide detailed insights into movement patterns, transportation usage, and traffic flow. This curated list features the top mobility datasets, selected for precision, quality, and trusted providers.
Mobility Data | Premium Consumer Visitation Insights To Inform Operations and Marketing Decisions | Foot Traffic Data | Mobility Data
Factori Mobility Data |EUROPE|+ One Year Historical Data Insights
Factori Mobility Data |MENA|+ One Year Historical Data Insights
Factori Mobility Data |SAARC|+ One Year Historical Data Insights
Factori Mobility Data |US|+ One Year Historical Data Insights
Trade Areas Mobility Data | where consumers travel to and from|
Factori High Fidelity Mobility Data| Precised Mobile Location Data:200 Billion+ Locations|
Mobility Data & Insights | Mobile Location Data | 18.8M+ Locations in the US
Mobility Data | Digital Out of Home (DOOH) Mobility Insights | Global 330M Devices
Factori Mobility Data | Global Mobile Location, Carrier, IP address, Hex8, Hex9 | Historical Location data
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Top Mobility Data Providers & Companies
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Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
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Echo Analytics
CoverageUSAUK+248VThe recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
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Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
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Intuizi
CoverageUSAUK+98VWe use intuizi to help us with insight and marketing data - so we can better reach our audiences with relevant messaging, and encourage repeat purchase! Would highly recommend and the team were really helpful.
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
Popular Use Cases for Mobility Data
Mobility data is vital for analyzing movement patterns and enhancing decision-making. It supports footfall analytics by tracking visits to stores or public spaces, enabling businesses to optimize marketing and operations. Urban mobility analysis uses data on vehicle and pedestrian flow to improve transportation systems and reduce congestion. Additionally, visit attribution provides insights into the relationship between advertising efforts and physical store visits, helping measure campaign effectiveness and refine strategies.
Main Attributes of Mobility Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 154 datasets | |
| String | The name of a city. | View 139 datasets | |
| String | The first name of a contact. | View 124 datasets | |
| String | The last name (surname) of a contact. | View 123 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 111 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 103 datasets |
Mobility Data Use Cases in Detail
Mobility data can be applied in various scenarios, such as:
- Footfall Analytics: Track and analyze the number of people entering and exiting a location to optimize store layouts and marketing strategies.
- Urban Mobility Analysis: Study traffic patterns and public transportation usage to improve urban planning and traffic management.
- Foot Traffic Analytics: Understand pedestrian movement patterns to identify high-traffic areas and plan targeted marketing campaigns.
- Footfall Attribution: Link foot traffic data to specific marketing activities to assess the impact of promotions.
Mobility Data Applications
- Retail Site Selection: Identify high-traffic areas for opening new stores or optimizing existing locations.
- Advertising and Marketing: Tailor campaigns to target audiences based on their movement patterns and frequent visit locations.
- Urban Planning: Help cities optimize transportation routes, infrastructure development, and public services.
- Real Estate Analysis: Assess neighborhood attractiveness based on foot traffic and movement trends to make informed investment decisions.
- Competitor Analysis: Understand how customers move between competitor locations and adjust your strategy accordingly.
How is Mobility Data Collected?
Mobility data is typically gathered from mobile devices using GPS signals, cell towers, and WiFi networks. This data is collected through apps that have obtained user consent for location tracking. It includes anonymized movement patterns, location visits, and dwell times, allowing businesses to analyze consumer behaviors and trends without compromising personal privacy.
What Are the Best Practices for Using Mobility Data?
To use mobility data effectively, consider these practices:
- Safeguard data privacy and security: Protects sensitive information and complies with privacy regulations such as GDPR.
- Regularly update and verify data: Maintains accuracy and relevance of the data.
- Integrate data from multiple sources: Provides a holistic view of mobility patterns.
- Use standardized formats and protocols like MDS: Ensures data consistency and interoperability.
What is the Mobility Data Specification (MDS)?
The Mobility Data Specification (MDS) standardizes how mobility data is collected, shared, and used. These guidelines ensure consistency and compatibility between different data sources and systems.
Key Components of MDS
- Data Standardization: MDS defines uniform data formats and structures, making it easier for different systems and organizations to share and analyze mobility data.
- APIs and Endpoints: MDS specifies a set of APIs (Application Programming Interfaces) and endpoints for data exchange.
- Event Reporting: MDS outlines protocols for reporting various events, such as vehicle deployments, trips, and incidents.
- Data Privacy and Security: MDS includes guidelines to protect user privacy and secure sensitive data.
What Are the Benefits of Mobility Data?
Some of the key benefits of mobility data include:
- Enhanced geospatial data analysis for improved urban planning: Facilitates better design of city layouts and infrastructure.
- Optimized routes for transportation, logistics and emergency vehicles: Ensures faster response times and better route planning.
- Better real-time foot traffic data monitoring: Helps businesses understand customer flow and optimize operations.
- Deeper insights for sectors like restaurant traffic data to provide better services: Aids restaurants in understanding peak times and customer behavior.
What is Mobility Data GTFS?
General Transit Feed Specification (GTFS) is a standard format for public transport schedules and related data. It allows transit agencies to publish their data in a format that can be easily used by developers to create applications and tools that improve public transport services.
What Are Mobility Data Apps?
Many apps use mobility data to provide services like route planning, ride-sharing, and traffic updates. These apps leverage real-time foot traffic data and other mobility information to offer users accurate insights.
How is Mobility Data Analytics Used?
Analytics plays a crucial role in extracting actionable insights from mobility data. By applying advanced data analytics techniques, urban planners and businesses can identify patterns and trends that help in making informed decisions. Mobility data analytics can also enhance geospatial data analysis, providing a more detailed understanding of movement patterns.
Frequently Asked Questions
How Accurate is Mobility Data?
Mobility data is known for its accuracy, especially when GPS signals are used, with precision levels often reaching up to 90%. This means that the recorded movements closely match real-world locations. Providers take care to cross-verify the data, so you’re getting insights that are as accurate as possible. Always choose datasets with high GPS accuracy to ensure the most reliable insights. If your strategies are location-dependent, having precise data makes all the difference.
How Frequently is Mobility Data Updated?
The frequency of mobility data updates can range from real-time to daily, weekly, or on-demand, depending on your needs. Real-time data is great for making quick decisions, while historical data allows for in-depth analysis of trends over time. For fast-moving campaigns like advertising or promotions, go for real-time or daily updates. But if you’re diving into more trend analysis, historical data is your best bet.
How is Mobility Data Delivered?
Mobility data is typically delivered in formats such as .csv, .json, or via APIs, making it easy to integrate with your existing systems. You can choose from cloud storage solutions like S3, or request real-time API access for seamless data flow into your tools. If you need continuous updates, setting up an API for real-time access is the most efficient option.
How Much Does Mobility Data Cost?
Mobility data pricing depends on factors like coverage area, volume, and how frequently you need updates. On average, monthly subscriptions can start around $8,000, while larger datasets with more frequent updates can cost up to $96,000 per year. Many providers offer free samples on Datarade, so you can test the data before committing.
What Geographic Areas Are Covered by Mobility Data?
Mobility data typically offers wide global coverage, including regions across North America, Europe, and Asia, with datasets spanning more than 90 countries. Before purchasing, ensure the dataset covers the exact regions you’re interested in.
Can Mobility Data Be Combined with Other Datasets?
Yes, mobility data works even better when combined with other datasets like demographics, weather, or sales data. This gives you deeper insights into what drives movement and helps you understand the broader context of your audience’s behavior. For example, layering mobility data with sales or weather data can give you a richer view of what’s driving customer decisions.
Is Mobility Data GDPR-Compliant?
Our mobility data providers ensure that all data is anonymized and compliant with GDPR and other privacy regulations. User consent is always obtained, and any personally identifiable information is removed from the datasets to protect user privacy. Our suggestion is to always go with a provider that emphasizes GDPR compliance and transparency.
What types of Mobility Data are available on Datarade?
Datarade Marketplace offers a wide range of mobility data products, including GPS-based location data, foot traffic data, mobile location data, and visit data. These datasets cover various attributes such as coordinates, timestamps, device IDs, and more.
