This page delivers traffic analytics for Beaverhead County, Montana. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Beaverhead County, Montana among 320 road miles divided in 851 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 1,982 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.
1,643
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
15.9%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
35.2 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.
6.5%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
46.6 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$56,324
Our data indicates an estimated average traffic volume of 1,643 vehicles per day in Beaverhead County, Montana that results in 448,606 vehicle-miles traveled per day (≈164 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 35.2 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the Montana state averages: Beaverhead's average daily traffic volume is 61% lower than the state average - 1,643 vehicles per day against 4,202 - suggesting less traffic load per road, a critical factor for logistics and site planning. Across the whole network that adds up to 448,606 vehicle-miles traveled per day (≈164 million per year), roughly 1.6% of Montana's statewide total. At 35.2 minutes, the average travel time is 3% lower than the state level. At 47% lower than the state level, the 6.5% congestion ratio signals smoother traffic flow - crucial for traffic control improvement and logistics planning. By volume, Beaverhead's 1,643 vehicles per day outpaces 45% of counties in Montana. 20% of counties in Montana have a shorter average travel time than Beaverhead's 35.2 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.
1,364
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
17.8%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
53.2 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.
3.9%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
47.4 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$57,475
A significant volume of traffic in Beaverhead County, Montana utilizes the highway network. The average highway carries 1,364 vehicles per day, 22% less than the average non-highway road in the same area, which carries 1,739 vehicles per day. That average covers 239 highway road miles divided in 218 segments (average segment length 5,778 ft), together carrying 364,903 vehicle-miles traveled per day (≈133 million per year). By highway travel volume, Beaverhead outranks 63% of counties in Montana. Trucks constitute 17.8% of highway traffic.
Analytical insight
The concentration of trucks on highways (17.8%) is 19% higher than the state average for similar road classifications. This indicates Beaverhead serves as a significant freight corridor. For logistics operators, this validates the importance of highway access. 67% of counties in Montana see a lower highway truck share than Beaverhead's 17.8%. Beaverhead's highway truck count is higher than 30% of counties in Montana, at roughly 243 trucks per day.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
1,739
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
7.9%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
29.0 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.
7.4%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
46.5 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$55,509
The non-highway road network in Beaverhead County, Montana supports a substantial volume of traffic. The average non-highway road carries 1,739 vehicles per day, 27% more than the average highway in the same area, which carries 1,364 vehicles per day. That average covers 81 non-highway road miles divided in 633 segments (average segment length 675 ft), together carrying 83,703 vehicle-miles traveled per day (≈30.6 million per year). Trucks constitute 7.9% of non-highway traffic.
Analytical insight
Non-highway roads carry a truck concentration that's 55% lower than the highway network. At 39% lower than the state level, the non-highway congestion ratio of 7.4% signals easier movement on local roads. 20% of counties in Montana see shorter overall travel times than Beaverhead. Trip origins here have higher average income than 11% of counties in Montana. Beaverhead's median driver age is higher than 16% of counties in Montana.
Time-of-Day & Seasonal Patterns
Peak Traffic Windows
Weekday peaks:
AM peak 10:00 AM–12:00 PM and PM peak 2:00 PM–6:00 PM, with volumes reaching approximately 69% higher than the daily average.
Weekend traffic:
Weekend volumes run about 1% below weekday levels.
Seasonal Fluctuation
Busy season:
June–August is the high season, with volumes +24% versus the annual average.
Lowest month:
January is the quietest month, with volumes -25% versus the annual average.
Analytical insight
In Beaverhead County, Montana, the peak hour concentrates about 7% of the day's traffic, and seasonal swing is pronounced at +24% in high season.
Traffic Flow Profile Comparison
Metric
Beaverhead
Montana
Average
Difference
Traffic
1,643
4,202
-60.9%
Truck % (Total Traffic)
15.9%
11.7%
+36.7%
Truck % (Highway)
17.8%
15.0%
+18.8%
Avg. Travel Time
35.2 min
36.2 min
-2.8%
Frequently Asked Questions
The average daily traffic volume is calculated at 1,643 vehicles per day, providing a baseline for daily operations and site assessment.
Beaverhead's average travel time of 35.2 minutes is longer than 20% of counties in Montana.
Trucks account for approximately 15.9% of the total traffic mix across all road types, with a significantly higher concentration of 17.8% on highways.
Traffic volumes are typically 24% higher during June–August. Volumes drop to their lowest levels in January, averaging 1,235 vehicles per day - a 25% decrease from the annual average.
The average travel time for drivers is 35.2 minutes, offering a standard metric for commute and delivery route planning.
Drivers on Beaverhead roads have a median age of 47 years, and the median household income of the neighborhoods trips originate from averages $56,324 - useful context for retail siting and customer profiling.
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)
