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Human mobility data analysis
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United States
Human mobility data for US places, delivered weekly
Aggregated weekly visit metrics for US locations, in the Huq platform or as Parquet and CSV feeds into your Amazon S3 or Google Cloud Storage bucket.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Human mobility data describes how populations move between places. Huq turns it into weekly, aggregated metrics for US locations: foot traffic, visitor origin and drive time, dwell time, visit frequency, footfall density and transportation mode. Use them in the Huq platform or as Parquet and CSV data feeds. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year. Start with a free analysis for a set of locations.
See how Huq delivers human mobility data
The overview walks through the Huq platform: the Explore map, the metrics each area returns, Projects and exports. For human mobility data, look at the travel-time and catchment layers, the density heat maps and the behavior metrics, then note that the same metrics can be delivered as data feeds. Analysts often start in the platform to test locations, then move to feeds for their models.
- Data feeds: Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket, with schemas that match platform exports.
- Density and transportation mode: show where movement concentrates and how people travel to each location.
- Cross-visitation and catchment: show how visitors move between locations and where they travel from.
Trusted by 300+ organisations · Data across 35 markets
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What is human mobility data?
Human mobility data is aggregated, anonymous data on how populations move between places: which places people visit, how often, for how long and where they travel from. It describes patterns across many people, not the movements of any individual.
Researchers use it to study commuting, tourism, disease spread and how cities recover from shocks. Businesses use it to choose sites, size trade areas, track competitors, forecast demand and add an alternative data signal to investment models. Public sector and transport teams use it to plan services and measure the impact of interventions.
It differs from foot traffic data mainly in scope. Mobility data covers movement between places across a region, while foot traffic data focuses on visits to a specific location. Huq delivers it as metrics for the places you choose, including density and transportation mode, through the platform or as data feeds rather than an API.
What's in your human mobility data analysis
01
Weekly foot traffic
Weekly visit estimates for each location, with history for trend and year-over-year analysis.
02
Visitor origin
The areas visitors travel from, mapped as primary and secondary catchment for each location.
03
Dwell time and visit frequency
How long visitors stay and how often they return, for each location and week.
04
Density and transportation mode
Where foot traffic concentrates within an area and how people arrive, for each location and period.
What a human mobility data analysis shows
A sample analysis for a set of locations. The same metrics are available as Parquet and CSV data feeds, with schemas that match the platform exports.
01
Weekly visits against a known benchmark
Compare Huq visits with figures you trust. In Huq's own validation study, visit data tracked Walmart's quarterly US net sales with 0.85 correlation and 3.8% error.
02
Where each location's visitors come from
See which areas feed each location and how that mix shifts over time, useful for trade area and demand models.
03
Feed-ready table of visit metrics
Each location and period is one row, delivered as CSV or Parquet to Amazon S3 or Google Cloud Storage for your BI tools or models.
Mobility data across the US and 35 markets
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.
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 analysts use Huq for mobility data
- Huq publishes its accuracy by country: a 19.5% median error across published markets, against a 30% healthy threshold.
- Huq's customers give it an NPS of 42.
- Trusted by 300+ organizations 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 national brands: choose locations, track store performance and benchmark against competitors.
02
Retail real estate owners
Show shopping center 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
- Foot traffic: by week, month and year, with totals, average daily foot traffic, trends, period-over-period change, and visiting vs passing traffic.
- Residents and visitors.
- Trade area and travel time: trade areas by ZIP code, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power, available in selected markets.
- Behavior: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Foot traffic density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping center and retail center types.
- Geo-spend: spend by volume and category, available in selected markets.
- Tools: the Explore map (draw any area or use layers for travel time, trade areas, shopping centers, retail centers, brand locations, industries and ZIP codes), 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 is aggregated, anonymous data on how populations move between places: which places people visit, how often, for how long and where they travel from. It describes patterns across many people, not individuals. Foot traffic data is the narrower view of visits to one location. Huq reports visits to the places you choose, plus where those visitors come from.
How do you use mobility data?
Businesses use it for site selection, trade area sizing, competitor tracking, demand forecasting and nowcasting company performance for investment research. Public sector and research teams use it to plan transport and services, study tourism and measure recovery after disruption. Start with a question about specific places, then test the data against figures you already trust.
How is Huq's mobility data delivered?
Three ways: the Huq platform, with the Explore map and Projects; CSV and Excel exports and monthly PDF location reports; or data feeds, with Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket. Huq delivers feeds rather than an API. Feed schemas match platform exports, so data drops into Power BI, Tableau, Looker or your own models.
Can I test Huq's data for free?
Yes, with a free analysis. Pick a set of US locations and we send weekly visits, visitor origin, dwell time, visit frequency and density, so you can check the data against figures you already hold before committing to anything.
How often is the data updated?
Weekly. Each new week is added to the history, so models and dashboards stay current and you can compare any week with the same week last year without waiting for a quarterly release.
Which US locations does Huq cover?
Huq covers addresses across the US and works in 35 markets worldwide, manually validating more than 1,000 locations in each market twice a year, so teams can analyze US and international locations on the same basis. No sensors or hardware are needed, which means competitor sites can be measured as easily as your own.
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.