Average Miles per Gallon (MPG) of Fleet serves as a critical performance indicator for operational efficiency and cost control.
This metric directly influences fuel expenditures, maintenance costs, and overall fleet productivity.
A higher MPG signifies better fuel utilization, translating to lower operational costs and improved financial health.
Conversely, lower MPG may indicate inefficiencies that erode profit margins.
By tracking this KPI, organizations can make data-driven decisions that align with strategic goals.
Ultimately, optimizing MPG enhances ROI and supports long-term sustainability initiatives.
Average Miles per Gallon of Fleet sits in KPI Depot's Logistics/Transportation KPI group. At priority 18 it is a supporting metric there, well below the KPI group's lead indicators On-Time Delivery Rate and Transportation Cost per Unit. On the internal-process side of the balanced scorecard it behaves as a leading efficiency signal, since fuel burn moves before its cost consequences land in the financial metrics.
The tension worth watching runs against the KPI group's delivery-speed metrics. Order to Delivery Lead Time and On-Time Delivery Rate reward tight windows and expedited routing, and the tactics that hit those targets, higher cruising speeds, more idling at stops, and less consolidated loads, pull fuel economy down. The metric that reconciles the two in this KPI group is Transportation Cost per Unit, because fuel efficiency only matters to the business once it is priced into cost per mile and cost per shipment.
The inputs live in two systems that rarely line up cleanly: fuel-card and fuel-dispensing records for gallons, and telematics or ELD odometer feeds for miles. Join them so the gallons and the miles belong to the same vehicles over the same period.
Decide the forks before you measure. Which units are in scope, since mixing heavy-duty tractors with light service vans produces a blended number that describes no real vehicle. Whether owned and leased equipment are pooled or reported apart. Whether idling and power-take-off fuel count, because a fleet with long dwell times looks worse on a strict reading and better on a drive-only reading. Segment by vehicle class, duty cycle, region, and season, because winter fuel blends and climate control shift the figure.
The most common instrumentation error is averaging each vehicle's fuel economy and reporting the mean, which lets a few high-mileage units dominate. Compute it as total miles divided by total gallons instead. Watch also for odometer-to-GPS drift and for diesel and gasoline gallons being summed as if interchangeable.
Many organizations overlook the impact of driver behavior on MPG, leading to inflated fuel costs and operational inefficiencies.
Enhancing MPG requires a multifaceted approach focused on vehicle management and driver engagement.
We have 8 relevant benchmarks in our benchmarks database.
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | MPG | average | heavy-duty units | private fleets | United States | 122 companies |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | MPG | average | 14 fleets | 2023 | trucks | trucking | United States | 14 fleets |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | MPG | average | 2023 | trucks | trucking | United States |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | miles per gallon | average | 2024 | leased equipment fleets and owned fleets | trucking | United States |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | miles per gallon | range | Class 7 and Class 8 trucks | trucking | United States and Canada | over 31,000 trucks |
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| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | miles per gallon | range | latest model year | model year trucks in study fleets | trucking | North America |
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Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | miles per gallon | average | 2023 | study fleets (heavy-duty freight) | trucking | North America |
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | miles per gallon | average | 2022 | study fleets (heavy-duty freight) | trucking | North America |
Browse the Top Benchmarked KPIs in Logistics/Transportation
The tracked sources for this metric do not measure the same fleet. NATSO Foundation reports private heavy-duty fleets, FreightWaves draws on a small set of for-hire carriers, Geotab aggregates a very large telematics population of Class 7 and Class 8 trucks, and the North American Council for Freight Efficiency reports study fleets selected for freight-efficiency work. Penske Truck Leasing adds a view that mixes leased and owned equipment.
Before trusting any external figure, a customer has to reconcile several things. Vehicle class first, since a number built only from Class 8 line-haul tractors is not comparable to one that folds in Class 7 or medium-duty units. Fleet type next, because private fleets, leased equipment, and for-hire carriers run different duty cycles. Then the denominator: total miles over total gallons is simple in the abstract, but whether idling fuel, auxiliary power, and empty miles are counted changes the result, and some sources publish a single average while others publish a range across model years. Geography compounds it, since United States and North American samples mix terrain and climate. None of these figures should be lifted across those boundaries without the source detail that explains them.
In the Logistics/Transportation KPI group, this metric ladders most directly to the objective of maximizing fleet and route efficiency to decrease environmental impact and operational waste, where fleet fuel economy serves as a key result a team drives upward through route optimization and vehicle mix. It also supports the objective of reducing total transportation expenses through strategic cost management, since fuel economy is one of the inputs behind cost per mile.
A team might set a directional key result to raise average fleet fuel economy over the year while holding On-Time Delivery Rate steady, which keeps the efficiency push honest against the delivery-speed metrics it can undercut.
This KPI is associated with the following categories and industries in our KPI database:
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Several factors impact MPG, including vehicle maintenance, driving habits, and route efficiency. Regular maintenance ensures vehicles operate optimally, while driver behavior can significantly affect fuel consumption.
Telematics provides real-time data on vehicle performance and driver behavior. This information allows companies to identify inefficiencies and implement targeted training to enhance fuel efficiency.
Target MPG varies by industry and vehicle type. Generally, fleets should aim for continuous improvement, benchmarking against industry standards to gauge performance.
Driver training is crucial for improving MPG. Educating drivers on fuel-efficient practices can lead to better driving habits, reducing fuel consumption and operational costs.
Yes, route optimization software can significantly enhance MPG. By minimizing travel distances and avoiding traffic congestion, fleets can reduce fuel consumption and improve overall efficiency.
Regular monitoring is essential for maintaining optimal MPG. Monthly reviews allow organizations to track progress and identify areas for improvement.
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