This page delivers traffic analytics for Southampton County, Virginia. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Southampton County, Virginia among 466 road miles divided in 5,192 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 474 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.
1,609
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
15.7%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
34.5 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.
7.3%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
50.8 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$73,526
Our data indicates an estimated average traffic volume of 1,609 vehicles per day in Southampton County, Virginia that results in 932,364 vehicle-miles traveled per day (≈340 million per year). The traffic stream is comprised of an average of 1 truck for every 6 vehicles. Typical time spent behind the wheel per trip is 34.5 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the Virginia state averages: Southampton sees 70% lower average daily traffic volume than the state average (1,609 vehicles per day against 5,349), suggesting less demand on each road - a critical factor for logistics and site planning. In total volume terms, its road network carries 932,364 vehicle-miles traveled per day (≈340 million per year), about 0.4% of Virginia's statewide total. At 34.5 minutes, the average travel time is 9% higher than the state level. At 57% lower than the state level, the 7.3% congestion ratio signals smoother traffic flow - crucial for traffic control improvement and logistics planning. By volume, Southampton's 1,609 vehicles per day outpaces 12% of counties in Virginia. Its average travel time of 34.5 minutes is longer than 76% of counties in 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.
8,841
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
19.4%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
64.2 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.
18.4%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
50.5 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$74,278
A significant volume of traffic in Southampton County, Virginia utilizes the highway network. The average highway carries 8,841 vehicles per day, 876% more than the average non-highway road in the same area, which carries 906 vehicles per day. That average covers 77 highway road miles divided in 460 segments (average segment length 886 ft), together carrying 627,838 vehicle-miles traveled per day (≈229 million per year). By highway travel volume, Southampton outranks 51% of counties in Virginia. Trucks constitute 19.4% of highway traffic.
Analytical insight
Highway truck concentration here runs 48% higher than the state average, at 19.4% - positioning Southampton as a significant freight corridor. For logistics operators, this validates the importance of highway access. 83% of counties in Virginia see a lower highway truck share than Southampton's 19.4%. 52% of counties in Virginia see fewer highway trucks per day than Southampton's roughly 1,713.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
906
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
8.2%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
31.6 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.
6.2%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
51.5 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$72,927
The non-highway road network in Southampton County, Virginia supports a substantial volume of traffic. The average non-highway road carries 906 vehicles per day, 90% less than the average highway in the same area, which carries 8,841 vehicles per day. That average covers 389 non-highway road miles divided in 4,732 segments (average segment length 434 ft), together carrying 304,526 vehicle-miles traveled per day (≈111 million per year). Trucks constitute 8.2% of non-highway traffic.
Analytical insight
Non-highway roads carry a truck concentration that's 57% lower than the highway network. The non-highway congestion ratio of 6.2% is 61% lower than the state level, suggesting more efficient local mobility than the state average. Southampton's overall average travel time exceeds 76% of counties in Virginia. 47% of counties in Virginia see lower average driver income among trip origins than Southampton. 67% of counties in Virginia have a younger driver population than Southampton.
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 65% higher than the daily average.
Weekend traffic:
Weekend volumes run about 14% below weekday levels.
Seasonal Fluctuation
Busy season:
May–July is the high season, with volumes +6% versus the annual average.
Lowest month:
January is the quietest month, with volumes -10% versus the annual average.
Analytical insight
In Southampton County, Virginia, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is mild at +6% in high season.
Traffic Flow Profile Comparison
Metric
Southampton
Virginia
Average
Difference
Traffic
1,609
5,349
-69.9%
Truck % (Total Traffic)
15.7%
9.6%
+64.3%
Truck % (Highway)
19.4%
13.1%
+47.9%
Avg. Travel Time
34.5 min
31.7 min
+9.1%
Frequently Asked Questions
The average daily traffic volume is calculated at 1,609 vehicles per day, providing a baseline for daily operations and site assessment.
The driver population in Southampton skews older than 67% of counties in Virginia.
The average travel time for drivers is 34.5 minutes, offering a standard metric for commute and delivery route planning.
Traffic volumes are typically 6% higher during May–July. Volumes drop to their lowest levels in January, averaging 1,442 vehicles per day - a 10% decrease from the annual average.
Drivers on Southampton roads have a median age of 51 years, and the median household income of the neighborhoods trips originate from averages $73,526 - useful context for retail siting and customer profiling.
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 65% 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)
