July 4th traffic patterns: What mobility data suggests for 2026 travel 

What mobility data suggests about July 4th traffic, from pre‑holiday travel peaks to late‑night driving patterns and changing congestion trends.

It’s no surprise that travel patterns will shift on a major holiday like July 4th, but when the timing changes each year and local events affect road conditions in unique ways, those patterns can become harder to anticipate.

Using Arity Road Traffic Analytics and telematics data connected to more than 50M+ U.S. drivers, our analysts looked for insight into driving patterns and behaviors to understand how travel behavior shifts — and what that means for road conditions and consumer demand on America’s 250th birthday weekend.

Here’s what Arity’s mobility data suggests about how Americans move on the July 4th holiday — and what we might see in 2026.

Four key trends to pay attention to:

  1. Long-distance travel builds in advance of the 4th.
  2. Local circulation becomes more prominent on the holiday itself.
  3. Potential risk rises when driving after dark.
  4. Micro‑events can reshape patterns at the local level.

1. Travel peaks often occur before July 4th

In each of the last three years, the busiest day in the travel window was not July 4th itself. Instead, driving peaked before or after the holiday, depending on where the holiday fell during the week.

Three bar charts -- 2023, 2024, and 2025 -- with the X axis showing miles and the Y axis showing days of the week around the July 4th holiday. It shows that the peak travel day in each of those years was a surrounding day, not July 4th itself. In 2023 the busiest day was Friday, June 30; in 2024, it was Saturday, July 6; and in 2025, it was Thursday, July 3.

On average, July 4th driving is about 19% below the peak day in the same travel window.

That pattern reflects how people move during the long weekend:

  • Travelers arrive ahead of the holiday, then depart across the return window..
  • Activity is distributed across several days rather than concentrated on one.

For 2026, that pattern is expected to follow a similar shape. With July 4th falling on a Saturday. Friday (July 3) may see higher outbound travel, while Sunday (July 5) may reflect return trips.

Takeaway: The busiest travel periods may occur before and after July 4th, rather than on the holiday itself.

2. Local driving patterns change on July 4th itself

People often drive less on July 4th when compared to a non-holiday, but the driving that does occur may be more concentrated and dynamic. Compared to peak travel days:

  • July 4th tends to have lower total miles per connection.
  • Movement often becomes more localized, with shorter trips and more frequent stops.
  • There may be congestion tied to events and return trips.
  • More frequent stop‑and‑go conditions may contribute to sudden acceleration.

The result is a shift from long‑distance travel to more dense, local movement patterns on July 4th itself. These conditions can make smaller disruptions more noticeable.

Takeaway: Even with lower overall travel volume, July 4th conditions can feel more congested locally, as shorter, frequent trips create denser traffic patterns.

3. Late‑night driving patterns show increased distraction and crash risk

Late-night phone use on July 4th remains higher than the non-holiday baseline in recent years, though the gap is narrowing. Distraction was +48% in 2023, +31% in 2024, and +21% in 2025 when compared to the same regular weekday.

At the same time, historical crash datasets indicate that fatal crashes increase during the July 4th travel window, particularly after dark, with 16% more fatal crashes in the evening and 47% more during the late-night period over the holiday weekend when compared to a normal week (FARS, 2019-2023).

Taken together, behavioral signals and crash outcome data suggest that evening driving conditions become more complex, with overlapping behavioral and environmental factors.

Takeaway: Late‑night July 4th travel may involve higher levels of distraction and crash risk, as behavioral signals and historical crash data trend upwards after dark.

Three bar graphs, one for 2023, one for 2024, and one for 2025, comparing late-night distracted driving on July 4th as compared to the same weekday in the prior week. In all three years, the level of distraction was higher on July 4th: +48% in 2023, +32% in 2024, and +21% in 2025.

Which states had the highest and lowest distracted driving rates on July 4th?  

On July 4, 2025, drivers in Delaware, New Jersey, and Wisconsin saw among the largest increases in distracted driving compared to a typical day that year. Alaska, Pennsylvania, and Arizona saw the smallest increases, with Alaska essentially unchanged.

Arity defines distracted driving as phone use that occurs while driving at speeds of 10 mph or greater.  

4. Local July 4th events can reshape real‑time mobility patterns

National trends only tell part of the July 4th story. For individual drivers, conditions may shift quickly at the local level, where events can reshape how people move around.

Consider a small-town multi‑day festival like Tom Sawyer Days in Hannibal, Missouri. In a typical year, a driver may experience:

  • Unexpected detours due to road closures
  • Frequent slowdowns near areas with high pedestrian activity
  • Congestion extending beyond event zones into surrounding streets

On July 4th itself, these conditions can become more pronounced:

  • Parade routes may limit access during morning hours, requiring rerouting
  • Midday travel may involve sustained stop-and-go movement in pedestrian-heavy areas
  • Fireworks events can lead to sharp increases in outbound traffic late at night

In 2026, additional celebrations – the 150th anniversary of The Adventures of Tom Sawyer and the nation’s 250th birthday – may add to overall activity in Hannibal, above and beyond what they typically see. Visitors may arrive in greater numbers, at different times, stay longer, and move between multiple nearby attractions, creating less predictable traffic patterns.

Mobility data can help illustrate how these conditions evolve, showing when congestion builds, where drivers may divert, and how pedestrian-heavy areas influence vehicle flow beyond the immediate event footprint. For example, a street that appears open may still function like a constrained corridor when pedestrian crossings increase.

With the anniversary celebrations layered on top of the usual July 4th festivities, drivers may encounter roadway conditions that differ from expectations.

Takeaway: Local events can significantly reshape traffic patterns, making real‑time context an important factor in understanding congestion. Mobility data can help provide a clearer view of how movement patterns are evolving.

Who should consider using driving behavior data?

Mobility data gives businesses and municipalities unique insights that complement other data types such as foot traffic, demographics, or sales transactions. These insights can support more strategic decisions and accelerate measurable results.

How can these insights help retail businesses?

If you know when your customers are most likely to be driving past your business on this holiday weekend, you can connect them with more timely and relevant offers that may be very welcome during a long drive.

How can these insights help municipalities?

Understanding when traffic patterns will change and which driving behaviors are most likely to occur can help municipal officials get ahead of Fourth of July with targeted road safety and traffic interventions.

Methodology and source data

Arity used its mobility dataset of more than 50 million anonymized active U.S. drivers representing every state on all types of roads. Our data analysts compared the 2025 July 4th holiday week with the previous non-holiday week, then reviewed those results year-over-year and at a state level.

 

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Arity is a mobility data and analytics company. We provide data-driven solutions to companies invested in transportation, enabling them to deliver mobility services that are smarter, safer, and more economical.

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