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

Wood County, West Virginia Traffic Counts

This page delivers traffic analytics for Wood County, West Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Wood County, West Virginia among 357 road miles divided in 5,467 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

9,609

Trucks

9.1%

Average travel time

32.2 min

Congestion ratio

28.3%

Drivers’ average age

50.5 yrs

Drivers’ average income

$59,746

Our data indicates an estimated average traffic volume of 9,609 vehicles per day in Wood County, West Virginia that results in 2,829,100 vehicle-miles traveled per day (≈1.0 billion per year). The traffic stream is comprised of an average of 1 truck for every 11 vehicles. Typical time spent behind the wheel per trip is 32.2 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the West Virginia state averages: Wood's average daily traffic volume is 30% higher than the state average - 9,609 vehicles per day against 7,367 - suggesting more traffic load per road, a critical factor for logistics and site planning. Across the whole network that adds up to 2,829,100 vehicle-miles traveled per day (≈1.0 billion per year), roughly 3.8% of West Virginia's statewide total. The average trip takes 32.2 minutes, 5% higher than the state level. The congestion ratio of 28.3% is 31% higher, pointing to more pronounced congestion than the state level - crucial for traffic control improvement and logistics planning. Wood carries more traffic than 91% of counties in West Virginia. On travel time, Wood runs longer than 76% of counties in West Virginia.

Highway vs. Non-Highway Traffic Analysis

highway traffic icon

Highway Traffic

Traffic

12,187

Trucks

13.9%

Average travel time

36.9 min

Congestion ratio

27.1%

Drivers’ average age

50.4 yrs

Drivers’ average income

$60,793

A significant volume of traffic in Wood County, West Virginia utilizes the highway network. The average highway carries 12,187 vehicles per day, 30% more than the average non-highway road in the same area, which carries 9,402 vehicles per day. That average covers 122 highway road miles divided in 407 segments (average segment length 1,580 ft), together carrying 1,329,599 vehicle-miles traveled per day (≈485 million per year). That is more highway travel volume than 78% of counties in West Virginia. Trucks constitute 13.9% of highway traffic.

Analytical insight

At 13.9%, highway truck share is 8% lower than the state average, marking Wood as a primarily local traffic hub - underscoring the importance of local access for logistics operators. 54% of counties in West Virginia see a lower highway truck share than Wood's 13.9%. 50% of counties in West Virginia see fewer highway trucks per day than Wood's roughly 1,695.
non-highway traffic icon

Non-highway traffic

Traffic

9,402

Trucks

4.8%

Average travel time

31.8 min

Congestion ratio

28.4%

Drivers’ average age

50.5 yrs

Drivers’ average income

$59,288

The non-highway road network in Wood County, West Virginia supports a substantial volume of traffic. The average non-highway road carries 9,402 vehicles per day, 23% less than the average highway in the same area, which carries 12,187 vehicles per day. That average covers 236 non-highway road miles divided in 5,060 segments (average segment length 246 ft), together carrying 1,499,501 vehicle-miles traveled per day (≈547 million per year). Trucks constitute 4.8% of non-highway traffic.

Analytical insight

The concentration of trucks on non-highway roads is 66% lower than on highways. At 38% higher than the state level, the non-highway congestion ratio of 28.4% signals more friction on local roads. Wood's overall average travel time exceeds 76% of counties in West Virginia. 61% of counties in West Virginia see lower average driver income among trip origins than Wood. Wood's median driver age is higher than 48% of counties in West Virginia.

Time-of-Day & Seasonal Patterns

peak hours icon
Peak Traffic Windows
Weekday peaks:
AM peak 10:00 AM–12:00 PM and PM peak 3:00 PM–6:00 PM, with volumes reaching approximately 80% higher than the daily average.
Weekend traffic:
Weekend volumes run about 17% below weekday levels.
seasonal traffic icon
Seasonal Fluctuation
Busy season:
June–August is the high season, with volumes +7% versus the annual average.
Lowest month:
January is the quietest month, with volumes -14% versus the annual average.

Analytical insight

In Wood County, West Virginia, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is mild at +7% in high season.

Traffic Flow Profile Comparison

Metric

Wood

West Virginia
Average

Difference

Traffic

9,609

7,367

+30.4%

Truck % (Total Traffic)

9.1%

11.0%

-17.6%

Truck % (Highway)

13.9%

15.1%

-7.7%

Avg. Travel Time

32.2 min

30.8 min

+4.6%

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

West VirginiaDepartment 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.