Need segment-level traffic data?

Identify traffic patterns street by street and analyze the exact corridors that matter to your project.

Get insights
traffic map

Roberts County, South Dakota Traffic Counts

This page delivers traffic analytics for Roberts County, South Dakota. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Roberts County, South Dakota among 357 road miles divided in 1,701 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 1,110 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
Find my place
total traffic icon

Total Traffic Volume & Performance

Traffic

939

Trucks

13.6%

Average travel time

41.3 min

Drivers’ average age

50.4 yrs

Drivers’ average income

$64,900

Our data indicates an estimated average traffic volume of 939 vehicles per day in Roberts County, South Dakota that results in 364,983 vehicle-miles traveled per day (≈133 million per year). The traffic stream is comprised of an average of 1 truck for every 7 vehicles. Typical time spent behind the wheel per trip is 41.3 minutes, which already accounts for delays at signals, intersections, and congestion.

Analytical insight

When compared to the South Dakota state averages: At 939 vehicles per day, the average monitored road in Roberts carries 70% less traffic than the state average of 3,156 vehicles per day - a critical factor for logistics and site planning. In total volume terms, its road network carries 364,983 vehicle-miles traveled per day (≈133 million per year), about 1.5% of South Dakota's statewide total. At 41.3 minutes, the average travel time is 27% higher than the state level. 35% of counties in South Dakota see less traffic than Roberts's 939 vehicles per day. On travel time, Roberts runs longer than 75% of counties in South Dakota.

Highway vs. Non-Highway Traffic Analysis

highway traffic icon

Highway Traffic

Traffic

2,052

Trucks

16.1%

Average travel time

59.5 min

Drivers’ average age

48.7 yrs

Drivers’ average income

$65,635

A significant volume of traffic in Roberts County, South Dakota utilizes the highway network. The average highway carries 2,052 vehicles per day, 152% more than the average non-highway road in the same area, which carries 815 vehicles per day. That average covers 118 highway road miles divided in 170 segments (average segment length 3,665 ft), together carrying 249,901 vehicle-miles traveled per day (≈91.2 million per year). By highway travel volume, Roberts outranks 62% of counties in South Dakota. Trucks constitute 16.1% of highway traffic.

Analytical insight

Highway truck concentration here runs 19% higher than the state average, at 16.1% - positioning Roberts as a significant freight corridor. For logistics operators, this validates the importance of highway access. Roberts's highway truck share (16.1%) is higher than 79% of counties in South Dakota. By raw truck volume, Roberts carries more highway trucks than 50% of counties in South Dakota.
non-highway traffic icon

Non-highway traffic

Traffic

815

Trucks

8.3%

Average travel time

39.2 min

Drivers’ average age

51.0 yrs

Drivers’ average income

$64,578

The non-highway road network in Roberts County, South Dakota supports a substantial volume of traffic. The average non-highway road carries 815 vehicles per day, 60% less than the average highway in the same area, which carries 2,052 vehicles per day. That average covers 239 non-highway road miles divided in 1,531 segments (average segment length 826 ft), together carrying 115,082 vehicle-miles traveled per day (≈42.0 million per year). Trucks constitute 8.3% of non-highway traffic.

Analytical insight

Non-highway roads carry a truck concentration that's 49% lower than the highway network. 75% of counties in South Dakota see shorter overall travel times than Roberts. Roberts's average driver income exceeds 31% of counties in South Dakota. The driver population here skews older than 60% of counties in South Dakota.

Time-of-Day & Seasonal Patterns

peak hours icon
Peak Traffic Windows
Weekday peaks:
AM peak 8:00 AM–12:00 PM and PM peak 3:00 PM–7:00 PM, with volumes reaching approximately 68% higher than the daily average.
Weekend traffic:
Weekend volumes run about 3% below weekday levels.
seasonal traffic icon
Seasonal Fluctuation
Busy season:
June–August is the high season, with volumes +16% versus the annual average.
Lowest month:
January is the quietest month, with volumes -19% versus the annual average.

Analytical insight

In Roberts County, South Dakota, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is pronounced at +16% in high season.

Traffic Flow Profile Comparison

Metric

Roberts

South Dakota
Average

Difference

Traffic

939

3,156

-70.2%

Truck % (Total Traffic)

13.6%

10.3%

+32.6%

Truck % (Highway)

16.1%

13.6%

+18.6%

Avg. Travel Time

41.3 min

32.5 min

+27.1%

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 DakotaDepartment 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.
link arrow icon
Data current as of:
Q3 2026

Explore further

TrafficZoom platform

— street-level analytics and custom corridor reports.

Map AI

— demographics, housing and mobility data.

Explore Other Counties

Need segment-level traffic data?

Identify traffic patterns street by street and analyze the exact corridors that matter to your project.