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Charleston County, South Carolina Traffic Counts

This page delivers traffic analytics for Charleston County, South Carolina. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Charleston County, South Carolina among 858 road miles divided in 18,846 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 241 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 icon

Total Traffic Volume & Performance

Traffic

13,575

Trucks

6.3%

Average travel time

31.9 min

Congestion ratio

30.6%

Drivers’ average age

43.5 yrs

Drivers’ average income

$96,192

Our data indicates an estimated average traffic volume of 13,575 vehicles per day in Charleston County, South Carolina that results in 11,678,516 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 31.9 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the South Carolina state averages: Charleston's average daily traffic volume is 93% higher than the state average - 13,575 vehicles per day against 7,040 - suggesting more traffic load per road, a critical factor for logistics and site planning. Network-wide, Charleston accounts for about 7.9% of South Carolina's statewide total, at 11,678,516 vehicle-miles traveled per day (≈4.3 billion per year). At 31.9 minutes, the average travel time is 4% lower than the state level. Congestion runs 69% higher than the state level, at a ratio of 30.6% - more pronounced congestion - crucial for traffic control improvement and logistics planning. At 13,575 vehicles per day, Charleston posts the highest average traffic volume in South Carolina. On travel time, Charleston runs longer than 7% of counties in South Carolina.

Highway vs. Non-Highway Traffic Analysis

highway traffic icon

Highway Traffic

Traffic

27,404

Trucks

8.3%

Average travel time

33.5 min

Congestion ratio

54.9%

Drivers’ average age

43.9 yrs

Drivers’ average income

$94,172

A significant volume of traffic in Charleston County, South Carolina utilizes the highway network. The average highway carries 27,404 vehicles per day, 131% more than the average non-highway road in the same area, which carries 11,875 vehicles per day. That average covers 243 highway road miles divided in 2,063 segments (average segment length 622 ft), together carrying 6,202,067 vehicle-miles traveled per day (≈2.3 billion per year). By highway travel volume, Charleston ranks first in South Carolina. Trucks constitute 8.3% of highway traffic.

Analytical insight

At 8.3%, highway truck share is 40% lower than the state average, marking Charleston as a primarily local traffic hub - underscoring the importance of local access for logistics operators. By truck concentration, highways here outrank 14% of counties in South Carolina. 52% of counties in South Carolina see fewer highway trucks per day than Charleston's roughly 2,269.
non-highway traffic icon

Non-highway traffic

Traffic

11,875

Trucks

4.1%

Average travel time

31.7 min

Congestion ratio

27.7%

Drivers’ average age

43.2 yrs

Drivers’ average income

$98,373

The non-highway road network in Charleston County, South Carolina supports a substantial volume of traffic. The average non-highway road carries 11,875 vehicles per day, 57% less than the average highway in the same area, which carries 27,404 vehicles per day. That average covers 615 non-highway road miles divided in 16,783 segments (average segment length 194 ft), together carrying 5,476,450 vehicle-miles traveled per day (≈2.0 billion per year). Trucks constitute 4.1% of non-highway traffic.

Analytical insight

The concentration of trucks on non-highway roads is 50% lower than on highways. At 64% higher than the state level, the non-highway congestion ratio of 27.7% signals more friction on local roads. 7% of counties in South Carolina see shorter overall travel times than Charleston. Charleston also has the highest average driver income in South Carolina among trip origins - $96,192. The driver population here skews older than 2% of counties in South Carolina.

Time-of-Day & Seasonal Patterns

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Peak Traffic Windows
Weekday peaks:
AM peak 10:00 AM–12:00 PM and PM peak 12:00 PM–6:00 PM, with volumes reaching approximately 67% higher than the daily average.
Weekend traffic:
Weekend volumes run about 26% below weekday levels.
seasonal traffic icon
Seasonal Fluctuation
Busy season:
April–June is the high season, with volumes +4% versus the annual average.
Lowest month:
December is the quietest month, with volumes -9% versus the annual average.

Analytical insight

In Charleston 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

Charleston

South Carolina
Average

Difference

Traffic

13,575

7,040

+92.8%

Truck % (Total Traffic)

6.3%

9.5%

-33.4%

Truck % (Highway)

8.3%

13.7%

-39.5%

Avg. Travel Time

31.9 min

33.3 min

-4.2%

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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