This page delivers traffic analytics for Stafford County, Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Stafford County, Virginia among 414 road miles divided in 9,410 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 232 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.
7,541
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
10.0%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
30.4 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.
15.6%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
43.7 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$134,222
Our data indicates an estimated average traffic volume of 7,541 vehicles per day in Stafford County, Virginia that results in 5,239,411 vehicle-miles traveled per day (≈1.9 billion per year). The traffic stream is comprised of an average of 1 truck for every 10 vehicles. Typical time spent behind the wheel per trip is 30.4 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the Virginia state averages: Stafford sees 41% higher average daily traffic volume than the state average (7,541 vehicles per day against 5,349), suggesting more demand on each road - a critical factor for logistics and site planning. Across the whole network that adds up to 5,239,411 vehicle-miles traveled per day (≈1.9 billion per year), roughly 2.4% of Virginia's statewide total. The average trip takes 30.4 minutes, 4% lower than the state level. The congestion ratio of 15.6% is 7% lower, pointing to smoother traffic flow than the state level - crucial for traffic control improvement and logistics planning. By volume, Stafford's 7,541 vehicles per day outpaces 74% of counties in Virginia. 28% of counties in Virginia have a shorter average travel time than Stafford's 30.4 minutes.
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.
24,997
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.
46.1 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.
55.1%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
44.2 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$124,380
A significant volume of traffic in Stafford County, Virginia utilizes the highway network. The average highway carries 24,997 vehicles per day, 277% more than the average non-highway road in the same area, which carries 6,626 vehicles per day. That average covers 98 highway road miles divided in 469 segments (average segment length 1,102 ft), together carrying 3,194,761 vehicle-miles traveled per day (≈1.2 billion per year). That is more highway travel volume than 94% of counties in Virginia. Trucks constitute 13.5% of highway traffic.
Analytical insight
Highway truck concentration here runs 3% higher than the state average, at 13.5% - positioning Stafford as a significant freight corridor. For logistics operators, this validates the importance of highway access. Stafford's highway truck share (13.5%) is higher than 63% of counties in Virginia. 90% of counties in Virginia see fewer highway trucks per day than Stafford's roughly 3,385.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
6,626
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
4.6%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
29.6 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.
13.6%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
43.4 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$142,725
The non-highway road network in Stafford County, Virginia supports a substantial volume of traffic. The average non-highway road carries 6,626 vehicles per day, 73% less than the average highway in the same area, which carries 24,997 vehicles per day. That average covers 316 non-highway road miles divided in 8,941 segments (average segment length 187 ft), together carrying 2,044,650 vehicle-miles traveled per day (≈746 million per year). Trucks constitute 4.6% of non-highway traffic.
Analytical insight
Compared to highways, non-highway routes see 66% fewer trucks by share. At 13% lower than the state level, the non-highway congestion ratio of 13.6% signals easier movement on local roads. 28% of counties in Virginia see shorter overall travel times than Stafford. Trip origins here have higher average income than 95% of counties in Virginia. The driver population here skews older than 11% of counties in Virginia.
Time-of-Day & Seasonal Patterns
Peak Traffic Windows
Weekday peaks:
AM peak 7:00 AM–12:00 PM and PM peak 3:00 PM–6:00 PM, with volumes reaching approximately 74% higher than the daily average.
Weekend traffic:
Weekend volumes run about 8% 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 -10% versus the annual average.
Analytical insight
In Stafford County, 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
Stafford
Virginia
Average
Difference
Traffic
7,541
5,349
+41.0%
Truck % (Total Traffic)
10.0%
9.6%
+4.8%
Truck % (Highway)
13.5%
13.1%
+3.4%
Avg. Travel Time
30.4 min
31.7 min
-3.9%
Frequently Asked Questions
The average daily traffic volume is calculated at 7,541 vehicles per day, providing a baseline for daily operations and site assessment.
Stafford carries more highway trucks by raw volume than 90% of counties in Virginia, at roughly 3,385 per day.
Approximately 45% of highway traffic and 11% of non-highway traffic consists of vehicles whose trip originates outside Stafford County, Virginia. This indicates that a portion of highway traffic is regional pass-through, while local roads are more representative of resident and commuter activity.
Traffic volumes are typically 4% higher during April–June. Volumes drop to their lowest levels in January, averaging 6,788 vehicles per day - a 10% decrease from the annual average.
Drivers on Stafford roads have a median age of 44 years, and the median household income of the neighborhoods trips originate from averages $134,222 - useful context for retail siting and customer profiling.
Weekday peaks occur between 7:00 AM and 12:00 PM in the morning and between 3:00 PM and 6:00 PM in the evening - about 74% above the daily average.
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)
