What AADT Traffic Count Do You Need for a Profitable Gas Station?

The Conventional AADT Thresholds

Most industry professionals and SBA lenders use these rough benchmarks:

Facility Type	Minimum AADT	Preferred AADT
Small rural c-store with fuel	5,000–8,000	10,000+
Suburban c-store with fuel	12,000–15,000	20,000+
High-volume c-store / fuel	25,000+	35,000+
Travel center / truck stop	15,000+ (5%+ trucks)	30,000+ (8%+ trucks)
Express car wash	20,000+	30,000+

These thresholds exist because AADT is a reasonable proxy for the total addressable market passing your site every day. More cars means more potential fuel customers and more potential in-store customers.

Why AADT Alone Is Misleading

AADT tells you how many vehicles pass a point on the road. It does not tell you:

How many will stop. Capture rate — the percentage of passing vehicles that actually pull into your station — varies from less than 0.5% in dense urban settings to 3–5% in rural areas where you're the only option for miles. A site with 40,000 AADT and a 0.5% capture rate generates the same traffic as a site with 10,000 AADT and a 2% capture rate.

Whether they can access your site. A gas station on a 50,000 AADT divided highway with no left-turn access from the dominant traffic direction may capture only half the expected volume. Signalized intersections, median cuts, and deceleration lanes dramatically affect actual capture.

Whether they need what you sell. AADT includes vehicles heading to destinations where they don't need fuel, food, or convenience items. Commuter traffic behaves differently from through-traffic; recreational traffic behaves differently from commercial traffic.

Who else is competing for them. A 30,000 AADT road with four gas stations within a mile divides the available traffic four ways. The same 30,000 AADT road with no gas station for three miles in either direction gives a single operator the entire stream.

The Variables That Matter More Than Raw AADT

After evaluating hundreds of c-store and fuel sites, here are the factors that actually separate high-performing from low-performing locations:

1. Site Access Configuration

A signalized intersection with left-turn access from both directions of the primary road is worth 15–25% more volume than a right-in/right-out site on the same road. Full access from a secondary road (turn off the highway onto a side street to reach the site) can suppress volumes by 10–15% versus direct highway frontage.

2. Visibility and Signage

Canopy visibility from 1/4 mile or more on the primary approach creates the "mental bookmark" that triggers a fuel stop decision. A site set back behind other buildings, below grade, or obscured by vegetation loses impulse customers who simply don't see it in time to turn.

3. Competitive Density and Quality

The number, proximity, and quality of competitors matters as much as AADT. A site with 15,000 AADT and no competitor within 2 miles will outperform a site with 30,000 AADT facing a QuikTrip, Buc-ee's, or Wawa within a half mile.

4. Trade Area Demographics

Population density within a 1–3 mile radius determines your "captive" customer base — people who live nearby and fuel up regularly. Median household income affects fuel spend per visit (premium fuel purchases, larger vehicles), basket size, and foodservice spend.

5. Truck Percentage

For sites with diesel infrastructure, the truck share of AADT is critical. A road carrying 20,000 AADT with 10% trucks (2,000 trucks/day) offers a very different diesel opportunity than 20,000 AADT with 2% trucks (400 trucks/day). Segregated hi-flow diesel truck lanes can capture truck traffic that standard diesel hoses cannot accommodate.

How RunSiteScratch Uses AADT

Our projection model starts with AADT but doesn't stop there. We classify each site into one of seven density categories (Super Urban through Rural) based on a composite of AADT, population, household density, and registered vehicles. Each density class has a calibrated capture rate range derived from actual station performance data.

We then adjust the baseline projection up or down based on site-specific factors: access configuration, visibility, competitive landscape, demographic strength, foodservice program, canopy size, brand strength, and growth catalysts.