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Mobility data
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United Kingdom
Mobility data for UK places, delivered weekly
Footfall, residents and visitors, transport mode, density and catchment flows for any UK address, as feeds into S3 or GCS or as exports.
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Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Huq's mobility data shows how people move to and around places in the UK: how many arrive, where they travel from, how they get there and how busy an area is through the day. It covers high streets, town centres, shopping centres, retail parks and any address you choose. Data refreshes weekly and arrives as Parquet or CSV feeds into Amazon S3 or Google Cloud Storage, or as CSV and Excel exports.
Mobility data in the Huq platform
Mobility data in Huq lives mostly on the Explore map. In the overview, look for the heat maps of visiting and passing traffic, the catchment layers and the travel-time areas. Those are the views that show how people move to a UK place. The data behind them can be exported or taken as a weekly feed.
- Heat maps of visiting versus passing traffic across an area.
- Catchment and travel-time layers showing where people come from.
- Exports that match the fields in the weekly Parquet or CSV feed.
Trusted by 300+ organisations · Data across 35 markets
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What is mobility data?
Mobility data, also called movement data, describes how people travel and where they go. In UK search results the term covers several things: public transport timetables, social mobility statistics and research datasets. Huq is none of those.
Huq's mobility data is about places. It shows footfall at a site, the split between residents and visitors, the transport modes people use to arrive, footfall density across an area, and catchment by postcode. That is what retailers, landlords, councils, BIDs and investors need to judge a location and decide where to act.
It is also measured consistently. Huq publishes its accuracy by country, with an 18.7% MAPE in Great Britain against landlord-reported footfall. In Huq's Ripon BID case, footfall was up 164% year on year.
What's in Huq's UK mobility data
01
Footfall and passing traffic
Weekly, monthly and yearly footfall, with visiting versus passing traffic for any address.
02
Residents and visitors
How much of a place's traffic is local and how much travels in, including international visitation for tourism.
03
Transport mode and density
How people arrive at a place and how footfall density varies across a high street or centre.
04
Catchment flows by postcode
Where visitors come from, mapped by postcode with drive-time and travel-time areas in miles.
What UK mobility data shows
Three views that answer most movement questions about a place.
01
Density across a town centre
A heat map of visiting and passing traffic across a town centre. See which streets carry people and which are quiet.
02
Resident and visitor split
The share of footfall from local residents versus visitors, week by week. In Huq's Queen Elizabeth Olympic Park case, footfall was up 28% over the 2024 MLB weekend.
03
Catchment flows
Postcodes ranked by how many visitors they send to a site, with travel-time bands. See whether a town centre draws locally or from across the region.
Mobility data for every UK address
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 teams use Huq for movement data and mobility data
- 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 mobility data?
Mobility data, or movement data, describes how people travel and where they go. Huq's version is about places: footfall, residents and visitors, transport mode, footfall density and catchment flows by postcode for any UK address.
Is Huq's mobility data the same as public transport data?
No. Huq does not supply timetables, route feeds or ticketing data. It shows how people use places: how many arrive, how they get there, where they travel from and how busy an area is. Transport mode is one of the measures.
How can councils and BIDs use movement data?
To track town centre footfall week by week and report to members and levy payers. Councils and combined authorities also test whether regeneration schemes and events are working: footfall, visitors and dwell before and after, compared with similar towns. In Huq's Ripon BID case, footfall was up 164% year on year. Huq's Projects feature supports bulk monitoring and stakeholder reporting.
Is there a mobility data API, or files instead?
Huq has no API. Technical teams take data feeds as Parquet and CSV files delivered into Amazon S3 or Google Cloud Storage buckets. Others use the platform, CSV or Excel exports and monthly PDF reports.
How often is the mobility data updated?
Every week. Each refresh adds the latest week of footfall, visitor and density data, so you can compare periods and spot changes after events, works or openings quickly. Feeds arrive in your bucket on the same cadence.
What does UK coverage include, and is there a free trial?
Huq covers any address in the UK, including high streets, shopping centres and retail parks, across 35 markets in total. Send us a few locations and we will run a free analysis for you.
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.
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