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Greenville County, South Carolina Traffic Counts

This page delivers traffic analytics for Greenville County, South Carolina. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Greenville County, South Carolina among 1,090 road miles divided in 37,404 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 154 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
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Total Traffic Volume & Performance

Traffic

10,909

Trucks

6.4%

Average travel time

34.2 min

Congestion ratio

21.7%

Drivers’ average age

45.2 yrs

Drivers’ average income

$82,955

Our data indicates an estimated average traffic volume of 10,909 vehicles per day in Greenville County, South Carolina that results in 11,852,078 vehicle-miles traveled per day (≈4.3 billion per year). The traffic stream is comprised of an average of 1 truck for every 16 vehicles. Typical time spent behind the wheel per trip is 34.2 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the South Carolina state averages: Greenville's average daily traffic volume is 55% higher than the state average - 10,909 vehicles per day against 7,040 - suggesting more traffic load per road, a critical factor for logistics and site planning. In total volume terms, its road network carries 11,852,078 vehicle-miles traveled per day (≈4.3 billion per year), about 8.1% of South Carolina's statewide total. At 34.2 minutes, the average travel time is 3% higher than the state level. Congestion runs 19% higher than the state level, at a ratio of 21.7% - more pronounced congestion - crucial for traffic control improvement and logistics planning. Greenville carries more traffic than 96% of counties in South Carolina. 58% of counties in South Carolina have a shorter average travel time than Greenville's 34.2 minutes.

Highway vs. Non-Highway Traffic Analysis

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Highway Traffic

Traffic

23,201

Trucks

9.7%

Average travel time

39.5 min

Congestion ratio

32.3%

Drivers’ average age

45.4 yrs

Drivers’ average income

$78,141

A significant volume of traffic in Greenville County, South Carolina utilizes the highway network. The average highway carries 23,201 vehicles per day, 134% more than the average non-highway road in the same area, which carries 9,897 vehicles per day. That average covers 208 highway road miles divided in 2,846 segments (average segment length 386 ft), together carrying 4,776,204 vehicle-miles traveled per day (≈1.7 billion per year). By highway travel volume, that ranks Greenville in the top 5 counties in South Carolina. Trucks constitute 9.7% of highway traffic.

Analytical insight

The concentration of trucks on highways (9.7%) is 29% lower than the state average for similar road classifications. This indicates Greenville serves as a primarily local traffic hub. For logistics operators, this validates the importance of local access. Greenville's highway truck share (9.7%) is higher than 19% of counties in South Carolina. Greenville's highway truck count is higher than 55% of counties in South Carolina, at roughly 2,244 trucks per day.
non-highway traffic icon

Non-highway traffic

Traffic

9,897

Trucks

4.2%

Average travel time

33.8 min

Congestion ratio

20.8%

Drivers’ average age

45.2 yrs

Drivers’ average income

$85,589

The non-highway road network in Greenville County, South Carolina supports a substantial volume of traffic. The average non-highway road carries 9,897 vehicles per day, 57% less than the average highway in the same area, which carries 23,201 vehicles per day. That average covers 882 non-highway road miles divided in 34,558 segments (average segment length 135 ft), together carrying 7,075,874 vehicle-miles traveled per day (≈2.6 billion per year). Trucks constitute 4.2% of non-highway traffic.

Analytical insight

The concentration of trucks on non-highway roads is 57% lower than on highways. The non-highway congestion ratio of 20.8% is 23% higher than the state level, suggesting slower local mobility than the state average. Greenville's overall average travel time exceeds 58% of counties in South Carolina. Greenville's average driver income exceeds 91% of counties in South Carolina. The driver population here skews older than 16% of counties in South Carolina.

Time-of-Day & Seasonal Patterns

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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 74% higher than the daily average.
Weekend traffic:
Weekend volumes run about 27% below weekday levels.
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Seasonal Fluctuation
Busy season:
August–October is the high season, with volumes +4% versus the annual average.
Lowest month:
January is the quietest month, with volumes -9% versus the annual average.

Analytical insight

In Greenville County, South Carolina, 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

Greenville

South Carolina
Average

Difference

Traffic

10,909

7,040

+55.0%

Truck % (Total Traffic)

6.4%

9.5%

-32.6%

Truck % (Highway)

9.7%

13.7%

-29.4%

Avg. Travel Time

34.2 min

33.3 min

+2.8%

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

South CarolinaDepartment 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.
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Data current as of:
Q3 2026

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