Aurora:GeoStudio® is a premier geospatial analysis platform that excels in supporting foot traffic data through its sophisticated Population Dynamics® analytic. Foot traffic data encompasses information about the number of people visiting specific locations or establishments, providing deep insights into customer behavior, patterns, and trends. This data is crucial for businesses looking to understand their audience and make data-driven decisions.

Core Features:

  1.    Data Collection Methods:
  •    Passive Sensors: Aurora:GeoStudio® integrates data collected from passive sensors deployed at various locations. These devices count the number of visitors, track their movement paths, and record the duration of their visits.
  •    Mobile Devices: The platform also leverages data from mobile devices, providing additional insights into foot traffic patterns through location-based services and applications.
  2.    Population Dynamics® Analytic:
  •    Aurora:GeoStudio®’s Population Dynamics® analytic processes foot traffic data to deliver comprehensive insights. This analytic tool helps visualize and understand visitor behavior, peak visiting times, and movement trends within specific areas.
  3.    Visualization and Mapping:
  •    The platform offers advanced visualization capabilities, displaying foot traffic data on customizable maps from providers like Google, Esri, Open, and Stamen. These visualizations help users understand spatial patterns and relationships, facilitating informed decision-making.

Applications:

  1.    Customer Behavior Analysis:
  •    Businesses can analyze foot traffic data to understand customer behavior, such as the number of visitors, the duration of their visits, and the paths they take within an establishment. This information is crucial for tailoring services and improving customer satisfaction.
  2.    Store Layout Optimization:
  •    Foot traffic data helps businesses optimize store layouts by identifying high-traffic areas and bottlenecks. By understanding how customers move through a space, businesses can rearrange products and displays to enhance flow and maximize sales opportunities.
  3.    Marketing Strategy Enhancement:
  •    Aurora:GeoStudio® enables businesses to refine their marketing strategies by providing insights into peak visiting times and customer demographics. This data supports targeted marketing campaigns, ensuring promotions reach the right audience at the right time.
  4.    Operational Efficiency:
  •    Understanding foot traffic patterns allows businesses to optimize staffing levels, manage inventory more effectively, and improve overall operational efficiency. By aligning resources with actual customer demand, businesses can enhance service delivery and reduce costs.
  5.    Urban Planning and Public Spaces:
  •    Foot traffic data is invaluable for urban planners and managers of public spaces. It helps in designing public areas that accommodate pedestrian flow efficiently and ensures that amenities are accessible and well-placed.

Aurora:GeoStudio®’s support for foot traffic data through the Population Dynamics® analytic offers businesses and urban planners a powerful tool for understanding and optimizing visitor behavior. By leveraging data from sensors, cameras, and mobile devices, the platform provides detailed insights into customer movements and trends. These insights enable businesses to enhance their marketing strategies, optimize store layouts, and improve operational efficiency. For urban planners, foot traffic data facilitates the design of more effective and accessible public spaces. Aurora:GeoStudio®’s advanced features empower users to make informed decisions and achieve a comprehensive understanding of foot traffic dynamics, leading to better strategic outcomes.

Retail footfall saw a decrease of 2.2 percent in December 2024 in the United Kingdom (UK), driven by shopping centers. Compared to the same month a year earlier, high streets saw a reduction in footfall of 2.7 percent.

Monthly footfall data from counting devices located at various points around Edinburgh city centre. Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence - Additional Resources: footfall2012.zip [http://data.edinburghopendata.info/dataset/41586704-092d-4afe-b634-4fb7ea20fedd/resource/9762f4b7-ba25-40f2-a707-94d45956d916/download/footfall2012.zip], footfall2013.zip [http://data.edinburghopendata.info/dataset/41586704-092d-4afe-b634-4fb7ea20fedd/resource/993bb312-3bb3-4c41-b1ba-8239adeb16ac/download/footfall2013.zip], footfall2014.zip [http://data.edinburghopendata.info/dataset/41586704-092d-4afe-b634-4fb7ea20fedd/resource/ba2e9ae6-0c84-457d-8d6c-6ff303ed244f/download/footfall2014.zip]

The global real-time footfall counting analysis system market is experiencing robust growth, projected to reach $335.4 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 15.0% from 2025 to 2033. This expansion is driven by the increasing need for businesses across various sectors – including transportation, retail, commercial spaces, and education – to gain actionable insights into customer traffic patterns. Real-time data allows for optimized resource allocation, improved operational efficiency, and enhanced customer experience. The market is segmented by technology (IR beam, thermal imaging, video-based, and others) and application, with the retail and commercial sectors currently dominating. Technological advancements in image processing, AI-powered analytics, and the integration of IoT devices are key factors fueling market growth. Furthermore, the rising adoption of sophisticated analytics tools that provide detailed customer behavior insights is significantly contributing to market expansion. The increasing focus on data-driven decision-making within businesses is further propelling the demand for these systems. Competition within the market is relatively high, with several established players including ShopperTrak, RetailNext, FLIR Systems, and others vying for market share. However, the market also presents opportunities for smaller, specialized firms focusing on niche applications or advanced technological solutions. Despite the overall positive outlook, factors such as high initial investment costs and the potential for data privacy concerns might act as restraints to some degree, though these challenges are likely to be mitigated through technological innovation and improved data security measures. The continued development of more affordable and user-friendly systems, coupled with a growing awareness of the business benefits of real-time footfall analysis, are likely to drive further market expansion in the coming years.

In the fourth week of 2025, weekly retail footfall in Germany fell by two percent to the same time a year before. Figures fluctuated during the timeline displayed. Germany recorded increasing e-commerce retail levels in recent years.

Overview

Huq Industries is excited to introduce our advanced Daily Footfall Data feed, specifically designed to meet the analytical needs of investors, retailers, and real estate professionals involved in property market analytics. Our product offers deep insights into foot traffic patterns across the UK, covering over 2,741 retail centres and utilising more than 1.1 million H3 hexbins at Level 12 resolution. With a substantial client base of over 600 satisfied customers, our data is a trusted source for making informed decisions in the property market.

Key Features and Specifications

• UK-Wide Coverage: Comprehensive geographic insights covering the entire United Kingdom.
• High-Resolution Data: Hex 12 (19m) resolution offers detailed and precise geographic information.
• Valued by 600+ Customers: Trusted by a wide range of clients, proving its reliability and utility across various analytical needs.
• Daily Footfall Statistics: Updated daily to ensure the most current and actionable insights.
• Unique Visitor Footfall: Provides clear insights into the number of unique visitors.
• Accuracy and Validation: Our data's accuracy is rigorously backtested and verified, with high correlation to benchmarks such as DCMS / British Museum entrants and sales data from Walmart, Petco, and Boot Barn.

Why Choose Huq Industries' Footfall Data?

Property Market Analytics

Our footfall data is an essential tool for property market analytics, providing detailed insights into foot traffic patterns and consumer behaviour. Investors, retailers, and real estate professionals can leverage this data to make informed decisions about property investments, market demand, and consumer trends. The granularity and frequency of our data enable precise analysis, which is crucial for high-stakes decisions in the property market.

Portfolio Optimization

For portfolio optimization, our data offers invaluable insights into the performance of various properties. By understanding foot traffic trends and consumer behaviour, investors and property managers can make strategic decisions to optimise their portfolios, ensuring maximum returns and efficient resource allocation.

Consumer Trend Analysis

With our data, users can conduct comprehensive consumer trend analysis, tracking changes in consumer behaviour and preferences over time. This information is crucial for developing effective marketing strategies, improving customer engagement, and staying ahead of market trends.

Foot Traffic Analytics

Our foot traffic analytics provide detailed insights into visitor numbers, peak times, and movement patterns. Retailers and property managers can use this information to optimise store layouts, improve customer service, and enhance overall operational efficiency.

Data Schema and Cadence

Our data schema is designed for clarity and ease of use, featuring properties such as:

• Datestamp: The date on which the observation was made. • Polygon ID: The ID of the CDRC defining the enclosing retail centre. • Centre Name: The name of the CDRC retail centre. • Centre Type: The classification of the CDRC retail centre. • Centre Region: The NUTS2/UK2 value for the region where the centre is located. • H3 Key: The H3 ID at level 12 for the geographic unit. • Latitude and Longitude: The geographic coordinates of the H3 unit centroid. • Footfall Value: A footfall index value showing population activity made on the day, adjusted for geographic sampling bias

The cadence of our data ensures daily updates, providing the most current and actionable insights. This regular update cycle allows for timely decision-making and rapid responses to changing conditions, a critical advantage in today's fast-paced business environment.

Conclusion

Huq Industries' Daily Footfall Data feed is a powerful solution for any organisation looking to leverage property market analytics for strategic advantage. Whether for property market analytics, portfolio optimization, catchment area analysis, consumer trend analysis, or foot traffic analytics, our data provides the quality, frequency, and granularity needed to make informed decisions and drive success. Join over 600 satisfied customers and unlock the full potential of foot traffic data with Huq Industries.

There are 7 cameras located at various locations around the city centre monitoring numbers of people walking past. These cameras calculate numbers on an hourly basis. This data can help identify footfall trends in the city centre and helps city centre management.

Please note

• The format of the data has changed as at 31/01/2014 to ensure one CSV document incorporates all camera sites. This will be the new format going forward.
• Datasets will be published on a monthly basis in line with the British Retail Consortium (BRC) calendar (refer to PDF guidance document).

Due to the coronavirus (Covid-19) crisis and social distancing measures the UK government took, retail footfall data following March 2020 saw an unprecedented fall. In the United Kingdom (UK), visitor numbers to retail locations were generally in decline, but for retail parks the decline was less dramatic. Over the period displayed here, footfall has slightly recovered, with positive year-on-year change in shopper numbers across retail parks occuring in August, September, and October 2024. In the most recent period, February 2025, footfall in retail parks increased by two percent compared to the previous year.

At Echo, our dedication to data curation is unmatched; we focus on providing our clients with an in-depth picture of a physical location based on activity in and around a point of interest over time. Our dataset empowers you to explore the “what” by allowing you to dig deeper into customer movement behaviors, eliminate gaps in your trade area and discover untapped potential. Leverage Echo's Activity datasets to identify new growth opportunities and gain a competitive advantage.

This sample of our Area Activity data provides you insights into the estimated total unique visitors and visits in an area. This helps you understand frequentation dynamics over time, identify emerging trends in people movements and measure the impact of external factors on how people move across a city.

Additional Information: - Understand the actual movement patterns of consumers without using PII data, gaining a 360-degree consumer view. Complement your online behavior knowledge with actual offline actions, and better attribute intent based on real-world behaviors. - Echo collects, cleans and updates its footfall on a daily basis. Normalization of the data occurs on a monthly basis. - We provide data aggregation on a weekly, monthly and quarterly basis. - Information about our country offering and data schema can be found here:

1) Data Schema: https://docs.echo-analytics.com/activity/data-schema
2) Country Availability: https://docs.echo-analytics.com/activity/country-coverage
3) Methodology: https://docs.echo-analytics.com/activity/methodology

Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout your location intelligence journey. We handle the complex tasks to deliver analysis-ready datasets to you.

Business Needs: 1. Site Selection: Leverage footfall data to identify the best location to open a new store. By analyzing areas with high footfall you can select sites that are likely to attract more customers. 2. Urban Planning Development: City planners can use footfall data to optimize the layout and infrastructure of urban areas, guide the development of commercial areas by indicating where pedestrian traffic is heaviest, and aid in traffic management and safety measures. 3. Real Estate Investment: Leverage footfall data to identify lucrative investment opportunities and optimize property management by analyzing pedestrian traffic patterns.

Leverage the most reliable and compliant global mobility and foot traffic dataset on the market. Veraset Movement (Mobile Device GPS Mobility Data) offers unparalleled real-time insights into footfall traffic patterns globally.

Covering 200+ countries, Veraset's Mobile Location Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement.

Ideal for ad tech, planning, retail analysis, and transportation logistics, Veraset's mobile location data helps in shaping strategy and making data-driven decisions.

Veraset Global Movement panel (mobile location) includes: - 1.8+ Billion Devices Monthly - 200 Billion Pings Monthly Device and Ping counts by Country are available upon request

Common Use Cases of Veraset's Mobile Location Data: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

Please visit: https://www.veraset.com/docs/movement for more information and schemas

Pedestrian footfall counts Pedestrian count data from 13 cameras with high definition sensors on key shopping streets of Dublin City Centre. There is data from 6 of the cameras going back to 2007. 7 of the cameras are more recent additions. The camera at Korky's on Grafton St was relocated to Dame Lane in 2013. Cameras were recalibrated in January/February 2012 to show pedestrian directional flow data 'in' and 'out'. Note separate worksheet tabs for each week of the year, shown hourly by entrance at cameras around the major streets of the city centre. The 2014 data is been updated on a weekly basis and the data for each week is contained in their own sheet in the DublinFootfall2014.xls

Due to the coronavirus (COVID-19) crisis and social distancing measures the UK government took, retail footfall after March 2020 saw an unprecedented fall. Not unexpectedly, visitor numbers to shopping centers took the biggest hit, declining by almost 85 percent in May 2020. Most recently reported numbers showed fluctuations. For example, in December 2024, the situation in shopping centers was slower than expected over the holidays, recording a decrease of 3.3 percent in footfall percent compared to the levels observed in the same month of the previous year, but in January 2025, footfall in shopping centers increased by 7.4 percent. In February 2025, a more modest year-on-year increase of 0.1 percent was recorded.

Retail footfall in British highstreets bounced back from the pandemic-driven sluggish shopper numbers around January 2023. But despite the recovering numbers, high streets still struggled with diminishing visits and frequent fluctuations. In the most recently reported period in January 2025, there was an increase of 0.1 percent of visitors to UK high streets. February showed a small year-on-year increase in shopping centers, as well. Retail locations out of favor With more and more shoppers turning to the convenience of online shopping, the landscape of high street retailing is transforming as store closures are dealing many retail and leisure store categories hard blows. This was exacerberated by the impact of the coronavirus (COVID-19) pandemic. In 2023, there were over 10,000 store closures in the United Kingdom. Store closures before the pandemic Even before the coronavirus (COVID-19) pandemic hit, UK retail sector had been going through what many have dubbed as "the retail apocalypse". Many retailers saw store closures and ensuing job losses a year before the pandemic. Among these, Poundland had the highest number of staff lay-offs resulting from store closures.

Dataset

This dataset was created by Zeeshan

Contents

Within the city centre seven footfall sensors have been placed to measure footfall traffic. This dataset summarises, by month, footfall numbers across the year.The sensors are located at;Barton StreetFriars StreetKing Street (East)King Street (West)Port StreetStation RoadUpper CraigsThe dataset contains In and Out directional counts, along with a Total for that month. A percentage change value has also been calculated between the reported month for each location.

Location of Footfall Tracking Cameras in York.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

Pedestrian Footfall for - Sumitt - Howth Walk . Updated Quarterly Statistics on pedestrians from 2019,2020, 2021,2022 and 2023 - please see new data set Pedestrian Footfall Summit 2024 -FCCDisclaimer“Please Note that figures are estimates of total ‘trips’ rather than individual visitors. The accuracy of the recorded counts can be affected by a number of factors including distance of pedestrians from counter beam, overgrowth of vegetation or occasional malfunctions such as accidental damage or vandalism. The battery power and telecommunications signal strength is also continuously monitored but can vary depending on location.’'

Pedestrian Footfall for - Red Rock - Howth Walk . Statistics on pedestrians from 2019,2020, 2021, 2022 and 2023 - please see new data Pedestrian Footfall - Red Rock 2024 FCCDisclaimer“Please Note that figures are estimates of total ‘trips’ rather than individual visitors. The accuracy of the recorded counts can be affected by a number of factors including distance of pedestrians from counter beam, overgrowth of vegetation or occasional malfunctions such as accidental damage or vandalism. The battery power and telecommunications signal strength is also continuously monitored but can vary depending on location.’'

Mobility API contains real time and historical data on cycling and pedestrians throughout Glasgow.

Overview

Huq Industries offers a robust and precise Daily Footfall Data feed, tailored to meet the diverse needs of investors, government bodies, retailers, and real estate professionals. Our data, which includes real-time foot-traffic data, location data, and mobility data, serves as a trusted resource for informed decision-making, with over 600 satisfied clients across various sectors.

Key Features and Specifications

• Hex 12 (19m) resolution • Valued by 600+ customers • Unique visitor foot traffic data • Accuracy backtested & verified • Daily foot-traffic statistics • Global coverage

Unique Visitor Foot Traffic Data: Gain access to detailed data on unique visitors, providing clear insights into foot traffic trends.

Daily Foot Traffic Statistics: Updated daily, our real-time foot-traffic data ensures you have the most current information.

High-Resolution Data: With a Hex 12 (19m) resolution, our location data offers detailed geographic insights.

Global Coverage: Comprehensive coverage across the United Kingdom, ensuring no region is left unmonitored, which is essential for mobility data.

Accuracy and Validation: Our data's accuracy is rigorously backtested and verified, correlating with known benchmarks such as DCMS / British Museum entrants and sales data from Walmart, Petco, and Boot Barn.

Why Choose Huq Industries' Foot Traffic Data?

Investors

For investors, our foot traffic data is crucial for local economic forecasting and consumer trend analysis. By analyzing location data and foot traffic patterns, investors can make informed decisions about resource allocation, identify emerging market trends, and assess the potential performance of retail investments. The granularity and frequency of our mobility data enable detailed analyses necessary for high-stakes investment decisions.

Government Bodies

Government agencies can leverage our real-time foot-traffic data and mobility data for urban planning and infrastructure development. Daily updates allow for real-time monitoring and assessment of public spaces, aiding in resource allocation and policy implementation to improve urban mobility and public safety. Our location data ensures that planning efforts are tailored to the specific needs of local communities.

Retailers

Retailers benefit from our foot traffic data through enhanced analytics and consumer behavior insights. Understanding footfall patterns helps optimize store locations, tailor marketing strategies, and improve customer engagement. The data can highlight peak shopping times, popular areas, and customer movement trends, providing actionable insights to boost sales and satisfaction.

Real Estate Professionals

Real estate professionals can utilize our mobility data and location data to assess the viability of retail locations, understand market demand, and make data-driven decisions about property development and investment. Detailed foot traffic data offers a clear picture of how different areas perform, aiding in the identification of high-potential properties and the evaluation of existing assets.

Data Schema and Cadence

Our data schema is designed for clarity and ease of use, with properties including:

Datestamp: The date of observation. Polygon ID: The ID of the CDRC defining the retail center. Centre Name: The name of the CDRC retail center. Centre Type: The classification of the CDRC retail center. Centre Region: The NUTS2/UK2 value for the region. H3 Key: The H3 ID at level 12 for the geographic unit. Latitude and Longitude: Geographic coordinates of the H3 unit centroid. Footfall Value: The number of unique population member observations, adjusted for geographic sampling bias. Our data's daily update cadence ensures users receive the most current and actionable insights, enabling timely decision-making and rapid response to changing conditions—a critical advantage in today's fast-paced environment.

Conclusion

Huq Industries' Daily Footfall Data feed is an essential tool for any organisation looking to leverage mobile location data and foot traffic data for strategic advantage. Whether for economic forecasting, urban planning, retail optimisation, or real estate investment, our data delivers the quality, frequency, and granularity needed for informed decisions. Join over 600 satisfied customers and unlock the full potential of location data and mobility data with Huq Industries.