This page delivers traffic analytics for Richmond City, Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Richmond City, Virginia among 397 road miles divided in 11,933 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 175 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.
9,156
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
6.8%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
33.0 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.
23.9%
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.
$89,230
Our data indicates an estimated average traffic volume of 9,156 vehicles per day in Richmond City, Virginia that results in 5,368,788 vehicle-miles traveled per day (≈2.0 billion per year). The traffic stream is comprised of an average of 1 truck for every 15 vehicles. Typical time spent behind the wheel per trip is 33.0 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the Virginia state averages: Richmond's average daily traffic volume is 71% higher than the state average - 9,156 vehicles per day against 5,349 - suggesting more traffic load per road, a critical factor for logistics and site planning. In total volume terms, its road network carries 5,368,788 vehicle-miles traveled per day (≈2.0 billion per year), about 2.4% of Virginia's statewide total. Journey times run 4% higher than the state level, at 33.0 minutes on average. At 43% higher than the state level, the 23.9% congestion ratio signals more pronounced congestion - crucial for traffic control improvement and logistics planning. 88% of counties in Virginia see less traffic than Richmond's 9,156 vehicles per day. 65% of counties in Virginia have a shorter average travel time than Richmond's 33.0 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.
29,482
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
9.0%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
35.9 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.
49.6%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
44.8 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$92,240
A significant volume of traffic in Richmond City, Virginia utilizes the highway network. The average highway carries 29,482 vehicles per day, 280% more than the average non-highway road in the same area, which carries 7,750 vehicles per day. That average covers 84 highway road miles divided in 772 segments (average segment length 573 ft), together carrying 3,016,690 vehicle-miles traveled per day (≈1.1 billion per year). That is more highway travel volume than 93% of counties in Virginia. Trucks constitute 9.0% of highway traffic.
Analytical insight
At 9.0%, highway truck share is 31% lower than the state average, marking Richmond as a primarily local traffic hub - underscoring the importance of local access for logistics operators. By truck concentration, highways here outrank 23% of counties in Virginia. By raw truck volume, Richmond carries more highway trucks than 79% of counties in Virginia.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
7,750
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
4.0%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
32.8 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.
22.2%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
41.5 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$85,559
The non-highway road network in Richmond City, Virginia supports a substantial volume of traffic. The average non-highway road carries 7,750 vehicles per day, 74% less than the average highway in the same area, which carries 29,482 vehicles per day. That average covers 313 non-highway road miles divided in 11,161 segments (average segment length 148 ft), together carrying 2,352,098 vehicle-miles traveled per day (≈859 million per year). Trucks constitute 4.0% of non-highway traffic.
Analytical insight
Compared to highways, non-highway routes see 56% fewer trucks by share. The non-highway congestion ratio of 22.2% is 41% higher than the state level, suggesting slower local mobility than the state average. Overall, average travel time here is longer than 65% of counties in Virginia. 71% of counties in Virginia see lower average driver income among trip origins than Richmond. 11% of counties in Virginia have a younger driver population than Richmond.
Time-of-Day & Seasonal Patterns
Peak Traffic Windows
Weekday peaks:
AM peak 7:00 AM–9:00 AM and PM peak 4:00 PM–6:00 PM, with volumes reaching approximately 55% higher than the daily average.
Weekend traffic:
Weekend volumes run about 21% below weekday levels.
Seasonal Fluctuation
Busy season:
April–June is the high season, with volumes +3% versus the annual average.
Lowest month:
January is the quietest month, with volumes -6% versus the annual average.
Analytical insight
In Richmond City, Virginia, the peak hour concentrates about 6% of the day's traffic, and seasonal swing is mild at +3% in high season.
Traffic Flow Profile Comparison
Metric
Richmond
Virginia
Average
Difference
Traffic
9,156
5,349
+71.2%
Truck % (Total Traffic)
6.8%
9.6%
-28.7%
Truck % (Highway)
9.0%
13.1%
-31.0%
Avg. Travel Time
33.0 min
31.7 min
+4.3%
Frequently Asked Questions
The average daily traffic volume is calculated at 9,156 vehicles per day, providing a baseline for daily operations and site assessment.
Trip origins in Richmond have higher average income than 71% of counties in Virginia.
The average travel time for drivers is 33.0 minutes, offering a standard metric for commute and delivery route planning.
Trucks account for approximately 6.8% of the total traffic mix across all road types, with a significantly higher concentration of 9.0% on highways.
Weekday peaks occur between 7:00 AM and 9:00 AM in the morning and between 4:00 PM and 6:00 PM in the evening - about 55% above the daily average.
Drivers on Richmond roads have a median age of 44 years, and the median household income of the neighborhoods trips originate from averages $89,230 - useful context for retail siting and customer profiling.
Traffic volumes are typically 3% higher during April–June. Volumes drop to their lowest levels in January, averaging 8,562 vehicles per day - a 6% decrease from the annual 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)
