Need segment-level traffic data?

Identify traffic patterns street by street and analyze the exact corridors that matter to your project.

Get insights
traffic map

Brown County, Ohio Traffic Counts

This page delivers traffic analytics for Brown County, Ohio. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Brown County, Ohio among 499 road miles divided in 7,639 segments. Our metrics go beyond simple volume counts to provide actionable insights on traffic intensity, congestion, commercial vehicle flow, and network performance with highest possible granularity (average segment length is 345 ft). Whether you are evaluating a new retail location, planning logistics routes, or assessing infrastructure needs, this data helps you move from assumptions to certainty.
Data sourced from TrafficZoom's proprietary analytics platform.
Data current as of:
Q3 2026
Find my place
total traffic icon

Total Traffic Volume & Performance

Traffic

2,118

Trucks

8.1%

Average travel time

34.2 min

Congestion ratio

9.5%

Drivers’ average age

49.1 yrs

Drivers’ average income

$71,335

Our data indicates an estimated average traffic volume of 2,118 vehicles per day in Brown County, Ohio that results in 1,060,210 vehicle-miles traveled per day (≈387 million per year). The traffic stream is comprised of an average of 1 truck for every 12 vehicles. Typical time spent behind the wheel per trip is 34.2 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the Ohio state averages: At 2,118 vehicles per day, the average monitored road in Brown carries 63% less traffic than the state average of 5,773 vehicles per day - a critical factor for logistics and site planning. Network-wide, Brown accounts for about 0.4% of Ohio's statewide total, at 1,060,210 vehicle-miles traveled per day (≈387 million per year). The average trip takes 34.2 minutes, 4% higher than the state level. At 42% lower than the state level, the 9.5% congestion ratio signals smoother traffic flow - crucial for traffic control improvement and logistics planning. Brown carries more traffic than 15% of counties in Ohio. 64% of counties in Ohio have a shorter average travel time than Brown's 34.2 minutes.

Highway vs. Non-Highway Traffic Analysis

highway traffic icon

Highway Traffic

Traffic

5,809

Trucks

10.0%

Average travel time

42.3 min

Congestion ratio

13.6%

Drivers’ average age

48.3 yrs

Drivers’ average income

$70,110

A significant volume of traffic in Brown County, Ohio utilizes the highway network. The average highway carries 5,809 vehicles per day, 190% more than the average non-highway road in the same area, which carries 2,001 vehicles per day. That average covers 51 highway road miles divided in 234 segments (average segment length 1,152 ft), together carrying 345,136 vehicle-miles traveled per day (≈126 million per year). Trucks constitute 10.0% of highway traffic.

Analytical insight

At 10.0%, highway truck share is 33% lower than the state average, marking Brown as a primarily local traffic hub - underscoring the importance of local access for logistics operators. 9% of counties in Ohio see a lower highway truck share than Brown's 10.0%. Brown's highway truck count is higher than 18% of counties in Ohio, at roughly 583 trucks per day.
non-highway traffic icon

Non-highway traffic

Traffic

2,001

Trucks

7.2%

Average travel time

33.9 min

Congestion ratio

9.4%

Drivers’ average age

49.3 yrs

Drivers’ average income

$71,853

The non-highway road network in Brown County, Ohio supports a substantial volume of traffic. The average non-highway road carries 2,001 vehicles per day, 66% less than the average highway in the same area, which carries 5,809 vehicles per day. That average covers 448 non-highway road miles divided in 7,405 segments (average segment length 320 ft), together carrying 715,074 vehicle-miles traveled per day (≈261 million per year). Trucks constitute 7.2% of non-highway traffic.

Analytical insight

Compared to highways, non-highway routes see 28% fewer trucks by share. Non-highway congestion (9.4%) runs 41% lower than the state average, pointing to smoother local traffic flow. 64% of counties in Ohio see shorter overall travel times than Brown. Trip origins here have higher average income than 47% of counties in Ohio. The driver population here skews older than 51% of counties in Ohio.

Time-of-Day & Seasonal Patterns

peak hours icon
Peak Traffic Windows
Weekday peaks:
AM peak 7:00 AM–8:00 AM and PM peak 4:00 PM–7:00 PM, with volumes reaching approximately 83% higher than the daily average.
Weekend traffic:
Weekend volumes run about 27% below weekday levels.
seasonal traffic icon
Seasonal Fluctuation
Busy season:
August–October is the high season, with volumes +6% versus the annual average.
Lowest month:
January is the quietest month, with volumes -8% versus the annual average.

Analytical insight

In Brown County, Ohio, the peak hour concentrates about 8% of the day's traffic, and seasonal swing is mild at +6% in high season.

Traffic Flow Profile Comparison

Metric

Brown

Ohio
Average

Difference

Traffic

2,118

5,773

-63.3%

Truck % (Total Traffic)

8.1%

9.9%

-18.1%

Truck % (Highway)

10.0%

14.9%

-32.6%

Avg. Travel Time

34.2 min

32.9 min

+4.0%

Data Sources & Methodology

The data presented on this page is derived from TrafficZoom's proprietary analytics platform, which aggregates and normalizes information from multiple sources, including:

Mobile device location data (anonymized and aggregated)

Road sensor networks and traffic counters

Historical traffic pattern databases

Public traffic count programs published by the

OhioDepartment of Transportation

Historical traffic pattern databases

U.S. Census Bureau
All metrics represent estimates based on statistical modeling and are intended for strategic planning purposes.
link arrow icon
Data current as of:
Q3 2026

Explore further

TrafficZoom platform

— street-level analytics and custom corridor reports.

Map AI

— demographics, housing and mobility data.

Explore Other Counties

Need segment-level traffic data?

Identify traffic patterns street by street and analyze the exact corridors that matter to your project.