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.

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.

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.

Retail Sales in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

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.

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.

Retail Sales in the United States increased 3.10 percent in February of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail footfall is one of the casualties of the growing e-commerce industry and the toll on the UK high street is visible more and more frequently. As shown in this statistic, the declining visitor numbers to retail and shopping centers help understand the apprehension around traditional retail. Throughout 2018, footfall persistently decreased and the percentage change confimed this even during the holiday season.

Store closures in retail centers

One of the negative outcomes of the falling visitor numbers to retail centers is store closures. In 2017, high streets and shopping centers together were the leading locations which experienced a drop in store numbers across Great Britain.

Is there hope for offline retail?
In the past few years, growth in the retail industry happened more online than in traditional retail formats. Yet forecasts anticipate growth for offline retail shopping locations, whereas a standstill is in sight for online sales.

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.

A first estimate of retail sales in value and volume terms for Great Britain, seasonally and non-seasonally adjusted.

Retail Sales in Italy increased 0.90 percent in January of 2025 over the same month in the previous year. This dataset provides - Italy Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

A series of retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

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.

This graph shows the monthly change in retail footfall in France from January to October 2018. The statistic displays that the footfall rate went from -30.6 percent in January to 2.2 percent in October 2018.

Retail Sales in the United Kingdom increased 1.70 percent in January of 2025 over the previous month. This dataset provides the latest reported value for - United Kingdom Retail Sales MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Our Activity dataset reveals real-world behavior through detailed foot traffic metrics around POIs in the US, Canada, and Mexico — all GDPR-compliant and non-PII.

By capturing total visits, unique visitors, and frequency of visits, our dataset enables a precise view of how consumers move, behave, and engage with locations over time — helping brands uncover demand, evaluate performance, and outpace competitors.

Key data points include: - Total visits, unique visitors, and visit frequency - Daily, weekly, monthly, and quarterly aggregation - Movement patterns around and within trade areas - Cleaned, normalized, and updated daily - Non-PII, GDPR-compliant location intelligence

Ideal for demand sensing, competitive benchmarking, and performance analysis, this dataset helps retail, real estate, and investment teams unlock powerful insights across North America.

Retail Sales in China increased 0.35 percent in February of 2025 over the previous month. This dataset provides - China Retail Sales MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The airport retailing market was estimated at around USD 37.23 Billion in 2025 and is expected to hit USD 107.6 Billion by 2035, registering a CAGR of 11.2%. Increasing demand for premium and exclusive products, along with improved digital payment mechanisms and personalized shopping experiences, are boosting market growth. Moreover, the advent of AI and AR in retail operations is transforming the airport shopping scene, streamlining transactions, and elevating product interactions.

Metric	Value
Market Size in 2025	USD 37.23 Billion
Projected Market Size in 2035	USD 107.6 Billion
CAGR (2025 to 2035)	11.2%

Country-wise Market Outlook: Airport Retailing Market

Country	CAGR (2025 to 2035)
USA	11.8%

Country	CAGR (2025 to 2035)
UK	11.0%

Country	CAGR (2025 to 2035)
European Union (EU)	11.2%

Country	CAGR (2025 to 2035)
Japan	10.7%

Country	CAGR (2025 to 2035)
South Korea	11.5%

Competitive Outlook: Airport Retailing Market

Company Name	Estimated Market Share (%)
Duffy AG	18-22%
Lagardère Travel Retail	15-19%
DFS Group	12-16%
The Shilla Duty Free	9-13%
Gebr. Heinemann	7-11%
Other Companies & Regional Players (Combined)	30-40%

Monthly visits to clothing stores in the European Union countries had a negative trend throughout 2020, as indexed over January 2020. The steepest decrease was recorded between March and June when the index value of average monthly footfall dropped from 92.97 to 67.75. Textile retail footfall had a slight increase in the following months, and almost flattened around an approximate value of 72. However, decline of monthly average visits accelerated again starting from November 2020 and dropped to 65.45 in January 2021, marking this as the lowest value of the time period in consideration.