This page delivers traffic analytics for Newton County, Missouri. Our metrics are calculated with multi-sourced, cross-verified data from real-world mobile and sensor networks, and averaged for Newton County, Missouri among 415 road miles divided in 6,584 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 332 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.
5,297
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
12.3%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
33.4 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.
9.4%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
47.3 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$65,060
Our data indicates an estimated average traffic volume of 5,297 vehicles per day in Newton County, Missouri that results in 2,317,016 vehicle-miles traveled per day (≈846 million per year). The traffic stream is comprised of an average of 1 truck for every 8 vehicles. Typical time spent behind the wheel per trip is 33.4 minutes, which already accounts for delays at signals, intersections, and congestion.
Analytical insight
When compared to the Missouri state averages: Newton sees 6% lower average daily traffic volume than the state average (5,297 vehicles per day against 5,631), suggesting less demand on each road - a critical factor for logistics and site planning. Across the whole network that adds up to 2,317,016 vehicle-miles traveled per day (≈846 million per year), roughly 1.3% of Missouri's statewide total. At 33.4 minutes, the average travel time is 7% higher than the state level. At 52% lower than the state level, the 9.4% congestion ratio signals smoother traffic flow - crucial for traffic control improvement and logistics planning. Newton carries more traffic than 88% of counties in Missouri. 61% of counties in Missouri have a shorter average travel time than Newton's 33.4 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.
9,801
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
19.9%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
45.0 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.
21.1%
Drivers’ average age
Drivers’ average age
Average age of residents in the geographic areas where the vehicle trips originated.
46.8 yrs
Drivers’ average income
Drivers’ average income
Average income of residents in the geographic areas where the vehicle trips originated.
$67,129
A significant volume of traffic in Newton County, Missouri utilizes the highway network. The average highway carries 9,801 vehicles per day, 90% more than the average non-highway road in the same area, which carries 5,156 vehicles per day. That average covers 65 highway road miles divided in 199 segments (average segment length 1,730 ft), together carrying 894,491 vehicle-miles traveled per day (≈326 million per year). That is more highway travel volume than 75% of counties in Missouri. Trucks constitute 19.9% of highway traffic.
Analytical insight
Highway truck concentration here runs 48% higher than the state average, at 19.9% - positioning Newton as a significant freight corridor. For logistics operators, this validates the importance of highway access. Newton's highway truck share (19.9%) is higher than 76% of counties in Missouri. By raw truck volume, Newton carries more highway trucks than 86% of counties in Missouri.
Non-highway traffic
Traffic
Traffic
The average number of vehicles that travel each day over any road in the road network.
5,156
Trucks
Trucks
The percentage of the total traffic volume composed of heavy vehicles.
7.4%
Average travel time
Average travel time
The average time of travel averaged among all vehicles traveling on the road network.
33.0 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.
9.1%
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.
$64,153
The non-highway road network in Newton County, Missouri supports a substantial volume of traffic. The average non-highway road carries 5,156 vehicles per day, 47% less than the average highway in the same area, which carries 9,801 vehicles per day. That average covers 349 non-highway road miles divided in 6,385 segments (average segment length 289 ft), together carrying 1,422,525 vehicle-miles traveled per day (≈519 million per year). Trucks constitute 7.4% of non-highway traffic.
Analytical insight
Non-highway roads carry a truck concentration that's 63% lower than the highway network. The non-highway congestion ratio of 9.1% is 51% lower than the state level, suggesting more efficient local mobility than the state average. 61% of counties in Missouri see shorter overall travel times than Newton. Newton's average driver income exceeds 58% of counties in Missouri. 25% of counties in Missouri have a younger driver population than Newton.
Time-of-Day & Seasonal Patterns
Peak Traffic Windows
Weekday peaks:
AM peak 7:00 AM–8:00 AM and PM peak 3:00 PM–7:00 PM, with volumes reaching approximately 63% higher than the daily average.
Weekend traffic:
Weekend volumes run about 5% above weekday levels.
Seasonal Fluctuation
Busy season:
March–May is the high season, with volumes +4% versus the annual average.
Lowest month:
January is the quietest month, with volumes -8% versus the annual average.
Analytical insight
In Newton County, Missouri, 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
Newton
Missouri
Average
Difference
Traffic
5,297
5,631
-5.9%
Truck % (Total Traffic)
12.3%
9.8%
+24.8%
Truck % (Highway)
19.9%
13.4%
+48.1%
Avg. Travel Time
33.4 min
31.3 min
+6.6%
Frequently Asked Questions
The average daily traffic volume is calculated at 5,297 vehicles per day, providing a baseline for daily operations and site assessment.
Newton carries more highway trucks by raw volume than 86% of counties in Missouri, at roughly 1,952 per day.
Traffic volumes are typically 4% higher during March–May. Volumes drop to their lowest levels in January, averaging 4,875 vehicles per day - a 8% decrease from the annual average.
Approximately 54% of highway traffic and 28% of non-highway traffic consists of vehicles whose trip originates outside Newton County, Missouri. This indicates that a portion of highway traffic is regional pass-through, while local roads are more representative of resident and commuter activity.
The average travel time for drivers is 33.4 minutes, offering a standard metric for commute and delivery route planning.
Weekday peaks occur between 7:00 AM and 8:00 AM in the morning and between 3:00 PM and 7:00 PM in the evening - about 63% 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)
