Where the crowd comes from, where it goes next, and who they are
Part 1 follows every device seen inside Chase Center for the 30 minutes before arrival and after departure, linked to neighborhoods, transit stations, bars and restaurants. You can filter it to any date. Part 2 profiles visitors by their home neighborhoods: where they live, their age and income, and which countries they come from.
How visitors move
Pin and path data, filterable by date. Use the bar below to choose a preset, a date range or weekdays. You can also click days on the calendar.
How many people really came
Panel devices are a small sample. Here each event's crowd comes from published attendance, or a researched estimate where none was published. The panel then shows who those people were.
Two years of visits, day by day
Each square is one day, shaded by how many devices were seen inside. Click a day to open it, shift-click a second day to select everything in between, or click a month's name to select the whole month.
Busiest days
Outlined in orange on the calendar · click one to open itWhere visitors are coming from
A journey's origin is the device's position when it was first seen in the 30 minutes before it entered Chase Center. Anything within 400 m is treated as already at the venue. Blue marks arrivals and orange marks departures.
Top origins
By region
Catchment by distance
Direction of approach
How they travel
Where they go next
The destination is the last position seen in the 30 minutes after a device leaves the venue. The matrix pairs each journey's origin region with its destination region, which shows whether visitors head home or move on somewhere else.
Top destinations
Origin → destination flows
The places around each visit
Journey points are matched to 11,900 OpenStreetMap places. A stop is 5 or more minutes spent within 150 m of the same spot. Origin and destination places are matched within 60 m. Click any place to find it on the map.
Places linked to the visit
By place type
When they arrive and how long they stay
Arrival time is the first ping inside the venue polygon. Dwell is the time between the first and last pings of the day, so a device pinged only once shows as under 15 minutes.
Arrival hour
Day of week
Dwell time
Visits over time
Where people gather on site
Pins are drawn over the arena and the surrounding Thrive City plaza, from OpenStreetMap footprints. Brighter cells have more distinct devices.
Hot spots
First-timers and regulars
Each visit is classed by how many distinct days that device appears across the full two years. Devices seen on more than 30 days are most likely staff, nearby workers or season-ticket holders.
Visit frequency
New vs returning
How to read this report
Sources. The pin report has 1.18M pings from 105K devices inside the Chase Center polygon. The path report has 3.6M pings from 73K of those devices, covering ±30 minutes around each visit. Both run 15 Sep 2024 – 15 Sep 2026.
Origins are recent, not home. Paths cover only the 30 minutes before arrival, so an origin is where someone was half an hour earlier, such as a bar, a BART platform or the freeway, and not where they live. For home locations, see Part 2.
Places. Points of interest come from OpenStreetMap (© OpenStreetMap contributors, ODbL). Places within 120 m of the arena are excluded so the venue doesn't match itself. Neighborhoods are SF Analysis Neighborhoods, and cities come from the nearest OSM place inside each county.
Travel mode is a heuristic. Transit means the path passed within 150 m of a rail, Muni or ferry station more than 1.2 km from the arena. Otherwise the mode comes from average speed: under 6 km/h is walking, 6–14 km/h is bike or scooter, and above that is car or rideshare.
Sample. Figures count devices, not people. The map draws up to 120 randomly sampled journeys per day.
Who visits
Visitor demographics from the home locations of 100,226 devices, covering all dates. The date filter in Part 1 doesn't change this part.
Where visitors live
Every one of the 5,196 US devices was traced back to a home census block group. Hover any state to see how many visitors it sent.
Visitors by home state
Top out-of-state markets
The Bay Area heartland
Three in four US visitors (76%) live in the nine Bay Area counties. San Francisco is the largest single county, but the East Bay (Alameda and Contra Costa together) sends even more visitors.
California by county
Top California counties
Who they are
Demographics of visitors' home neighborhoods, weighted by the number of devices each neighborhood contributed. US visitors only.
Age
Household income
Education
Race & ethnicity
Visitors from around the world
Beyond the US, 18 devices were traced to home neighborhoods in 6 other countries, led by Canada, Japan, South Korea and Australia. With so few international devices, treat the country profiles as indicative only.