Retail real estate data report
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United States
Weekly foot traffic, visitor origin and cross-shopping for shopping centers and retail streets. Evidence for landlords, investors and brokers.

Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Retail real estate data should show how a property performs, not just what its lease says. Huq measures weekly foot traffic, residents versus visitors, catchment, dwell time and cross-shopping at shopping centers, retail strips and main streets across the US. Landlords use it in leasing, investors in due diligence and brokers in tenant pitches, alongside the comps and rent data they already rely on.

This short video tours the Huq platform. Watch for the shopping center and retail center layers on the Explore map and how foot traffic, catchment and behavior appear for any center you select. For retail real estate data, the same steps give landlords, investors and brokers performance evidence to set next to leases and comps.
Trusted by 300+ organisations · Data across 35 markets


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Retail real estate data is the information used to judge, lease, buy and value shopping centers, retail strips, stores and main street property. It includes property records, lease comps, achieved rents, occupancy, tenant lists and co-tenancy.
Retail differs from office or industrial property because performance depends on visitors. A center's rent and value follow how many people come, how often, how long they stay and which other stores they visit.
Huq provides that performance layer. It measures visits at any address every week, shows where visitors come from, how far they travel and which other locations they visit, and benchmarks a property against centers of the same type. Brand locations and industry performance show how tenant categories are doing. Geo-spend is available in selected markets. It complements your lease and transaction data.
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Weekly visits and year-over-year change for each center or street.
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Where shoppers come from, so you can show prospective tenants the reach of a center.
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Shared and unique visitors across up to 10 location pairs, evidence for co-tenancy and tenant mix decisions.
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Compare foot traffic, dwell time and visit frequency with nearby centers of the same type to see where your property ranks.
A sample performance snapshot for one retail property against its closest competitor.
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Weekly visits at the property and its nearest competing center, with year-over-year change, so you can see whether it is gaining or losing share.
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The areas that send visitors to the center. Brokers use this to show tenants the customers they would reach.
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Which other locations your visitors also go to. Strong overlap with a brand's existing stores can make the case for bringing that brand into the center.
Huq covers any address in the United States: shopping centers, main streets, downtowns, strip malls, 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.
Step 1
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
Our team maps each location from observed visitor data.
Step 3
A short call to take you through what the data shows and what it means for you.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
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From five-store retailers planning their next site to national brands: choose locations, track store performance and benchmark against competitors.
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Show shopping center performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
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Check how retail brands and assets actually perform before you buy, and monitor them after.
Retail real estate is property used to sell goods and services to consumers: enclosed malls, open-air and strip centers, power centers, standalone stores and main street units. Its value depends heavily on visitors, because tenant sales drive rents and occupancy. That's why landlords and investors look at foot traffic alongside leases and comps.
Start with lease and transaction data: rents, comps, occupancy and the tenant list. Then add performance data: weekly foot traffic, residents versus visitors, catchment, dwell time and how the property compares with competing centers of the same type. Huq provides the performance side for any US address, so you can test the story in the offering memo.
Ask any provider how they validate. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year. In Huq's own US validation study, its visit data tracked Walmart's quarterly US net sales with a 0.85 correlation and 3.8% error. In Great Britain, Huq's accuracy is 81.9%, against an industry benchmark of around 65%.
A performance snapshot for one retail property against its closest competitor: weekly foot traffic trend, where visitors come from and cross-shopping with other locations. It's a quick way to see how Huq's data would support your leasing, investment or brokerage work.
Huq data is updated weekly. You can track a center through a leasing campaign, a refurbishment or a new anchor opening, and compare each week with the same period last year.
Any retail address across the US: enclosed malls, open-air and strip centers, power centers and main street units. No sensors, cameras or hardware are needed, so you can measure competing centers and properties you are considering buying. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.
Questions? Talk to us
Book a demoHuq 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.
Up to 5 locations. No cost, no commitment.