This page delivers traffic analytics for Tyler County, West Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Tyler County, West Virginia among 83 road miles divided in 680 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 643 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.
The average number of vehicles that travel each day over any road in the road network.
4,737
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
13.5%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
31.2 min
Congestion ratio
Congestion ratio
The rate at which the actual travel time exceeds free-flow travel time, averaged among all roads in the network.
15.4%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
52.0 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$59,526
Our data indicates an estimated average traffic volume of 4,737 vehicles per day in Tyler County, West Virginia that results in 318,014 vehicle-miles traveled per day (≈116 million per year). The traffic stream is comprised of an average of 1 truck for every 7 vehicles. Typical time spent behind the wheel per trip is 31.2 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the West Virginia state averages: Tyler sees 36% lower average daily traffic volume than the state average (4,737 vehicles per day against 7,367), suggesting less demand on each road - a critical factor for logistics and site planning. Across the whole network that adds up to 318,014 vehicle-miles traveled per day (≈116 million per year), roughly 0.4% of West Virginia's statewide total. At 31.2 minutes, the average travel time is 1% higher than the state level. Congestion runs 29% lower than the state level, at a ratio of 15.4% - smoother traffic flow - crucial for traffic control improvement and logistics planning. Tyler carries more traffic than 35% of counties in West Virginia. On travel time, Tyler runs longer than 65% of counties in West Virginia.
Highway vs. Non-Highway Traffic Analysis
Highway Traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
9,194
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
13.4%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
35.3 min
Congestion ratio
Congestion ratio
The rate at which the actual travel time exceeds free-flow travel time, averaged among all roads in the network.
20.3%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
51.6 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$57,240
A significant volume of traffic in Tyler County, West Virginia utilizes the highway network. The average highway carries 9,194 vehicles per day, 216% more than the average non-highway road in the same area, which carries 2,906 vehicles per day. That average covers 15 highway road miles divided in 198 segments (average segment length 401 ft), together carrying 135,888 vehicle-miles traveled per day (≈49.6 million per year). Trucks constitute 13.4% of highway traffic.
Analytical insight
Highway truck concentration here runs 11% lower than the state average, at 13.4% - positioning Tyler as a primarily local traffic hub. For logistics operators, this validates the importance of local access. 52% of counties in West Virginia see a lower highway truck share than Tyler's 13.4%. Tyler's highway truck count is higher than 37% of counties in West Virginia, at roughly 1,235 trucks per day.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
2,906
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
13.6%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
29.5 min
Congestion ratio
Congestion ratio
The rate at which the actual travel time exceeds free-flow travel time, averaged among all roads in the network.
13.4%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
53.1 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$62,072
The non-highway road network in Tyler County, West Virginia supports a substantial volume of traffic. The average non-highway road carries 2,906 vehicles per day, 68% less than the average highway in the same area, which carries 9,194 vehicles per day. That average covers 68 non-highway road miles divided in 482 segments (average segment length 742 ft), together carrying 182,125 vehicle-miles traveled per day (≈66.5 million per year). Trucks constitute 13.6% of non-highway traffic.
Analytical insight
Non-highway roads carry a truck concentration that's 1% higher than the highway network. The non-highway congestion ratio of 13.4% is 35% lower than the state level, suggesting more efficient local mobility than the state average. 65% of counties in West Virginia see shorter overall travel times than Tyler. Tyler's average driver income exceeds 57% of counties in West Virginia. 70% of counties in West Virginia have a younger driver population than Tyler.
Time-of-Day & Seasonal Patterns
Peak Traffic Windows
Weekday peaks:
AM peak 6:00 AM–8:00 AM and PM peak 4:00 PM–6:00 PM, with volumes reaching approximately 67% higher than the daily average.
Weekend traffic:
Weekend volumes run about 31% below weekday levels.
Seasonal Fluctuation
Busy season:
April–June is the high season, with volumes +4% versus the annual average.
Lowest month:
January is the quietest month, with volumes -6% versus the annual average.
Analytical insight
In Tyler County, West Virginia, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is mild at +4% in high season.
Traffic Flow Profile Comparison
Metric
Tyler
West Virginia
Average
Difference
Traffic
4,737
7,367
-35.7%
Truck % (Total Traffic)
13.5%
11.0%
+22.6%
Truck % (Highway)
13.4%
15.1%
-10.9%
Avg. Travel Time
31.2 min
30.8 min
+1.5%
Frequently Asked Questions
The average daily traffic volume is calculated at 4,737 vehicles per day, providing a baseline for daily operations and site assessment.
The driver population in Tyler skews older than 70% of counties in West Virginia.
Weekday peaks occur between 6:00 AM and 8:00 AM in the morning and between 4:00 PM and 6:00 PM in the evening - about 67% above the daily average.
Trucks account for approximately 13.5% of the total traffic mix across all road types, with a significantly higher concentration of 13.4% on highways.
Traffic volumes are typically 4% higher during April–June. Volumes drop to their lowest levels in January, averaging 4,456 vehicles per day - a 6% decrease from the annual average.
Drivers on Tyler roads have a median age of 52 years, and the median household income of the neighborhoods trips originate from averages $59,526 - useful context for retail siting and customer profiling.
The average travel time for drivers is 31.2 minutes, offering a standard metric for commute and delivery route planning.
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)
