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UK footfall data
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United Kingdom
UK footfall data for any address, refreshed weekly
Weekly footfall for high streets, shopping centres, retail parks and competitors' stores, as exports, PDF reports or data feeds.
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Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Huq's footfall data gives you weekly visit numbers for any address in the UK, from a single shop unit to a whole retail park. You get footfall by week, month and year, average daily footfall, visiting vs passing traffic, dwell time and visit frequency. Take it as CSV or Excel exports, or as data feeds into Amazon S3 or Google Cloud Storage for your own models. There are no counters or sensors to install.
How Huq's footfall data looks in the platform
The overview walks through the platform as a whole. If you are buying data, focus on the Explore map and the export options. The map is where you fix the boundary for each site, by drawing it or picking a postcode or shopping centre layer. Those saved areas then decide what goes into your CSV and Excel exports or a weekly data feed.
- Draw any area, or pick a postcode, shopping centre or retail centre layer.
- Check weekly footfall, average daily footfall and visiting vs passing traffic.
- Export per area or combined, or ask for a data feed for your team.
Trusted by 300+ organisations · Data across 35 markets
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What is footfall data?
Footfall data counts how many people visit or pass a place over a set period. In the UK it has mostly come from door counters and street sensors run by retailers, landlords, BIDs and councils. Public sources, such as the ONS UK retail footfall series and council open data, show national or town-level trends at fixed counter sites.
Counters are precise for the doors they watch. They can't tell you how a competitor's store, a retail park across town or a vacant unit is trading. Huq needs no hardware and covers any address, so every site is measured the same way, including ones you don't own.
Buyers are usually analysts, data teams and property researchers who want the numbers inside their own tools. Council and combined authority analysts use it to test whether regeneration schemes work, against similar town centres. Some call it foot traffic data; it means the same thing. Huq publishes its accuracy by country: an 18.7% MAPE in Great Britain against landlord-reported footfall.
What's in your UK footfall data
01
Weekly, monthly and yearly footfall
Totals, average daily footfall, trends and period-on-period change for every area you define.
02
Visiting vs passing traffic
Separate people who come into a location from those who walk past, to judge how well a site converts.
03
Dwell, frequency and dayparts
Dwell time, visit frequency and time-of-day patterns, so you can compare how people use each site.
04
Exports and data feeds
CSV or Excel exports, or Parquet and CSV feeds into Amazon S3 or Google Cloud Storage buckets.
What UK footfall data shows
Three views data teams use most before they pull numbers into their own models.
01
Weekly footfall for any boundary
Draw around a store, a parade or a whole retail park and see the weekly series with trend and year-on-year change.
02
Visiting vs passing heat map
See where people stop and where they only pass through, across a high street or shopping centre.
03
Exports and feed delivery
Pick areas and metrics, then download CSV or Excel, or have Huq drop Parquet or CSV files into your cloud bucket each week.
UK footfall data coverage: any address, no hardware
Huq covers any address in the UK: high streets, shopping centres, retail parks, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why data teams buy footfall data from Huq
- Huq publishes its accuracy by country: an 18.7% median error in Great Britain against landlord-reported footfall.
- JD Sports, a UK retailer, got 25% more precise catchment analysis and 18% lower new-store location risk.
- Ripon BID saw footfall up 164% year on year.
- Trusted by 300+ organisations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to global brands: choose locations, track store performance and benchmark against competitors.
02
Retail property owners
Show centre performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Footfall: by week, month and year, with totals, average daily footfall, trends, period-on-period change, and visiting vs passing traffic.
- Residents and visitors.
- Catchment and travel time: catchment by postcodes, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power.
- Behaviour: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Footfall density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping centre and retail centre types.
- Geo-spend: spend by volume and category at any UK location, via Experian.
- Tools: the Explore map (draw any area or use layers for travel time, catchment, shopping centres, retail centres, brand locations, industries and postcodes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
What is footfall data and how is it collected?
Footfall data measures how many people visit or pass a location over time. Traditional sources are door counters, cameras and street sensors at fixed points. Huq's data needs no hardware at the site and covers any UK address. Huq checks its estimates against landlord-reported footfall and publishes the result: an 18.7% median error in Great Britain.
Where can I get free footfall data in the UK?
The ONS publishes a UK retail footfall dataset, and many councils and BIDs share counter data for their town centres on open data portals. These are useful for broad trends at fixed counter sites. For a specific store, competitor or unit you need address-level data. Huq offers a free analysis of your locations so you can test it first.
Can I get footfall data for a competitor's store?
Yes. Huq needs no hardware at the site, so a competitor's store, a rival retail park or a vacant unit is measured the same way as your own. You get the same weekly series, visiting vs passing traffic and dwell time, and can export them next to your own sites.
Which UK locations does Huq's footfall data cover?
Any address in the UK: high streets, town centres, shopping centres, retail parks, standalone stores and sites you haven't opened yet. Huq operates across 35 markets and manually validates more than 1,000 locations in each market twice a year.
How often is the footfall data updated?
Huq's data refreshes weekly. Each week adds a new data point to your series, so you can track week-on-week, month-on-month and year-on-year change. Average daily footfall is reported as a metric, but the data itself is updated once a week, not every day.
Do you offer a footfall data API, or feeds instead?
No. Huq does not offer an API. Technical teams get data feeds instead: Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket. Analysts can also download CSV or Excel exports per area or combined, and teams can use monthly PDF location reports.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
See how your locations really perform
Up to 5 locations. No cost, no commitment.