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Fuel & Convenience research

Metro Truck Exposure Rankings

All 159 US metropolitan areas with at least 150 confirmed retail fuel sites, ranked by the share of sites within about 650 feet of a road carrying more than 5,000 trucks a day, with every supporting column from the accompanying research.

Data edition: 2026-09-13-v15 Site records: Public place records and tank registries, September 2026 Road traffic: FHWA HPMS 2024 Metros ranked: 159

A site is on a truck corridor when a road segment within about 650 feet of it carries more than 5,000 trucks a day, single-unit plus combination, in the federal road inventory. Traffic past a site is exposure, not gallons sold. The ranking is built on the share of a metro's confirmed retail sites on such a corridor; the shares at 2,500 and 10,000 trucks a day and the interstate column are the checks. Read the analysis behind these figures.

Share of confirmed retail sites with a road carrying more than 5,000 trucks a day within about 650 feet

All 159 rankable metros, edition 2026-09-13-v15
# Metro States Sites Truck traffic on the busiest road within 650 ft On a truck corridor At 2,500 trucks At 10,000 trucks Within 0.6 mi of an interstate Busiest road, vehicles a day Travel centers
1 Reno, NV NV 179 31.3% 48.0% 8.9% 45.3% 21,623 8
2 Los Angeles-Long Beach-Anaheim, CA CA 2,819 28.4% 54.1% 14.5% 34.7% 34,633 11
3 Salt Lake City-Murray, UT UT 386 28.0% 51.3% 12.2% 37.8% 29,697 6
4 Ocala, FL FL 210 26.7% 42.4% 8.6% 20.0% 27,000 6
5 Provo-Orem-Lehi, UT UT 200 26.0% 57.0% 6.5% 44.0% 25,997 5
6 Tyler, TX TX 161 25.5% 29.2% 7.5% 10.6% 21,448 3
7 Amarillo, TX TX 189 23.8% 29.6% 11.6% 48.7% 18,795 14
8 Ogden, UT UT 198 23.7% 70.2% 8.6% 48.5% 25,032 6
9 Dallas-Fort Worth-Arlington, TX TX 3,081 23.7% 29.2% 14.7% 28.5% 28,254 46
10 Stockton-Lodi, CA CA 262 21.8% 24.0% 19.5% 28.2% 19,677 9
11 Waco, TX TX 203 21.7% 31.5% 21.2% 29.6% 20,496 4
12 Riverside-San Bernardino-Ontario, CA CA 1,278 21.5% 28.8% 12.4% 41.3% 24,250 22
13 Sacramento-Roseville-Folsom, CA CA 673 21.0% 32.5% 8.3% 26.7% 27,439 4
14 San Antonio-New Braunfels, TX TX 1,048 20.6% 26.4% 12.0% 36.1% 24,473 17
15 El Paso, TX TX 300 19.7% 24.7% 9.7% 32.7% 24,440 11
16 San Diego-Chula Vista-Carlsbad, CA CA 723 19.6% 24.9% 8.6% 43.0% 24,315 1
17 Houston-Pasadena-The Woodlands, TX TX 3,783 18.1% 22.5% 13.0% 25.1% 24,917 28
18 New Haven, CT CT 225 17.8% 19.1% 8.9% 48.9% 17,700 2
19 Bridgeport-Stamford-Danbury, CT CT 316 17.7% 19.3% 16.1% 38.0% 18,700 0
20 Visalia, CA CA 204 17.6% 27.5% 17.6% 0.0% 13,662 4
21 New Orleans-Metairie, LA LA 390 17.4% 50.3% 5.4% 37.2% 22,824 4
22 Modesto, CA CA 194 17.0% 17.0% 13.9% 5.2% 19,150 3
23 Austin-Round Rock-San Marcos, TX TX 1,072 16.5% 31.3% 11.3% 21.2% 28,197 7
24 Lafayette, LA LA 282 16.0% 37.2% 2.5% 23.4% 13,139 5
25 College Station-Bryan, TX TX 166 15.7% 30.7% 0.0% 0.0% 21,238 3
26 McAllen-Edinburg-Mission, TX TX 283 15.5% 27.2% 0.4% 31.4% 25,065 6
27 Phoenix-Mesa-Chandler, AZ AZ 1,215 15.0% 34.7% 6.0% 17.3% 31,423 23
28 Little Rock-North Little Rock-Conway, AR AR 424 13.9% 20.0% 11.8% 43.6% 19,000 6
29 Harrisburg-Carlisle, PA PA 233 13.7% 24.5% 3.4% 30.5% 14,370 9
30 San Francisco-Oakland-Fremont, CA CA 1,010 13.7% 25.1% 10.6% 41.4% 20,409 4
31 Bakersfield-Delano, CA CA 374 13.6% 24.1% 11.2% 11.8% 14,559 15
32 Macon-Bibb County, GA GA 221 13.6% 18.6% 9.5% 44.8% 16,500 1
33 Brownsville-Harlingen, TX TX 164 13.4% 25.0% 0.0% 40.9% 23,572 4
34 Shreveport-Bossier City, LA LA 217 13.4% 29.0% 12.9% 41.0% 13,411 9
35 Tampa-St. Petersburg-Clearwater, FL FL 1,210 13.1% 42.0% 3.3% 16.4% 38,000 5
36 St. Louis, MO-IL IL MO 1,058 12.9% 20.2% 10.3% 40.0% 17,436 28
37 Tucson, AZ AZ 305 12.8% 27.5% 5.9% 26.9% 28,426 3
38 Beaumont-Port Arthur, TX TX 324 12.7% 22.2% 12.3% 19.4% 16,690 6
39 Akron, OH OH 240 12.5% 14.6% 6.3% 36.3% 16,954 3
40 Portland-Vancouver-Hillsboro, OR-WA OR WA 656 12.3% 26.2% 4.4% 29.0% 23,499 5
41 Fresno, CA CA 419 12.2% 19.1% 10.7% 4.1% 15,274 5
42 Lakeland-Winter Haven, FL FL 335 11.6% 38.8% 1.8% 11.9% 26,000 6
43 Miami-Fort Lauderdale-West Palm Beach, FL FL 1,856 11.5% 35.5% 4.3% 17.0% 41,500 5
44 Birmingham, AL AL 826 11.5% 14.6% 6.9% 37.8% 16,209 11
45 Urban Honolulu, HI HI 166 11.4% 21.7% 2.4% 59.0% 25,548 0
46 Kansas City, MO-KS KS MO 865 11.3% 16.6% 6.9% 39.4% 15,922 19
47 Springfield, MO MO 227 11.0% 26.9% 2.6% 15.4% 19,397 4
48 Oklahoma City, OK OK 728 10.9% 12.5% 5.2% 37.1% 15,550 32
49 Gainesville, FL FL 178 10.7% 27.0% 6.2% 21.3% 19,000 2
50 Springfield, MA MA 185 10.3% 10.3% 3.8% 42.7% 13,948 1
51 Lexington-Fayette, KY KY 236 10.2% 28.8% 3.8% 23.3% 23,206 5
52 Killeen-Temple, TX TX 237 10.1% 17.7% 10.1% 30.0% 20,812 1
53 New York-Newark-Jersey City, NY-NJ NJ NY 4,361 9.9% 21.3% 5.7% 23.0% 22,043 9
54 Seattle-Tacoma-Bellevue, WA WA 1,125 9.9% 21.4% 3.3% 29.3% 23,661 6
55 Spokane-Spokane Valley, WA WA 195 9.7% 25.6% 0.5% 28.7% 18,679 5
56 Baton Rouge, LA LA 452 9.7% 45.4% 4.4% 27.0% 18,219 3
57 Lake Charles, LA LA 262 9.5% 17.2% 9.2% 39.3% 12,494 3
58 Jackson, MS MS 436 9.4% 14.5% 2.1% 42.9% 15,105 9
59 Albuquerque, NM NM 345 9.3% 22.6% 2.3% 39.1% 25,080 13
60 Montgomery, AL AL 261 9.2% 22.6% 6.9% 30.3% 21,866 5
61 Kingsport-Bristol, TN-VA TN VA 171 8.8% 12.3% 5.3% 32.2% 15,734 2
62 Lancaster, PA PA 176 8.5% 11.9% 0.6% 4.0% 14,217 1
63 Jacksonville, FL FL 653 8.1% 17.5% 5.1% 34.8% 29,500 11
64 Allentown-Bethlehem-Easton, PA-NJ NJ PA 321 8.1% 10.9% 4.4% 19.3% 14,149 2
65 Knoxville, TN TN 499 8.0% 11.6% 7.4% 35.5% 18,013 20
66 Chattanooga, TN-GA GA TN 337 8.0% 8.9% 6.2% 31.8% 17,348 4
67 Minneapolis-St. Paul-Bloomington, MN-WI MN WI 1,113 8.0% 14.0% 3.6% 30.3% 15,723 8
68 Louisville/Jefferson County, KY-IN IN KY 564 8.0% 21.6% 4.1% 39.5% 16,439 11
69 Hickory-Lenoir-Morganton, NC NC 205 7.8% 8.3% 0.0% 20.0% 14,608 3
70 Nashville-Davidson--Murfreesboro--Franklin, TN TN 939 7.8% 14.9% 5.8% 37.7% 22,775 15
71 Winston-Salem, NC NC 316 7.6% 8.9% 1.3% 25.9% 14,516 2
72 Scranton--Wilkes-Barre, PA PA 265 7.5% 10.9% 4.2% 30.2% 12,370 6
73 Fort Wayne, IN IN 199 7.5% 22.1% 2.5% 18.1% 18,649 3
74 Hartford-West Hartford-East Hartford, CT CT 452 7.5% 12.6% 5.8% 37.4% 15,000 2
75 Spartanburg, SC SC 163 7.4% 17.2% 0.6% 35.6% 19,500 4
76 Chicago-Naperville-Elgin, IL-IN IL IN 2,687 7.3% 15.1% 3.4% 27.1% 21,708 64
77 Canton-Massillon, OH OH 153 7.2% 10.5% 3.9% 23.5% 12,405 4
78 Corpus Christi, TX TX 252 7.1% 19.8% 0.4% 14.3% 17,988 2
78 Roanoke, VA VA 182 7.1% 13.2% 3.8% 25.3% 18,706 1
80 Colorado Springs, CO CO 273 7.0% 11.7% 2.9% 24.5% 25,000 2
81 Cape Coral-Fort Myers, FL FL 288 6.9% 28.5% 0.0% 15.6% 38,500 2
82 Port St. Lucie, FL FL 203 6.9% 36.0% 0.0% 14.3% 27,300 4
83 Cincinnati, OH-KY-IN IN KY OH 846 6.9% 11.0% 4.8% 37.6% 17,182 13
84 Deltona-Daytona Beach-Ormond Beach, FL FL 280 6.8% 23.2% 2.1% 22.9% 26,500 1
85 Richmond, VA VA 641 6.7% 13.6% 3.0% 39.2% 22,224 7
86 Orlando-Kissimmee-Sanford, FL FL 1,041 6.6% 34.2% 2.5% 10.0% 36,223 2
87 Oxnard-Thousand Oaks-Ventura, CA CA 197 6.6% 24.9% 0.0% 0.0% 25,491 0
88 Columbus, OH OH 765 6.5% 10.1% 3.7% 31.9% 17,838 20
89 Tulsa, OK OK 402 6.5% 16.4% 2.2% 15.2% 16,200 5
90 Atlanta-Sandy Springs-Roswell, GA GA 3,081 6.4% 14.2% 5.6% 27.4% 22,300 25
91 Detroit-Warren-Dearborn, MI MI 1,915 6.4% 10.5% 2.8% 28.8% 22,541 5
92 Waterbury-Shelton, CT CT 173 6.4% 18.5% 5.8% 15.6% 16,700 1
93 Tallahassee, FL FL 209 6.2% 12.9% 0.0% 16.7% 20,400 5
94 Las Vegas-Henderson-North Las Vegas, NV NV 810 6.2% 6.9% 4.8% 32.8% 33,381 9
95 Durham-Chapel Hill, NC NC 227 6.2% 7.0% 0.4% 22.9% 19,743 1
96 Asheville, NC NC 181 6.1% 7.2% 0.0% 41.4% 20,767 1
97 Dayton-Kettering-Beavercreek, OH OH 348 6.0% 8.0% 6.0% 40.8% 16,155 3
98 Charleston-North Charleston, SC SC 315 6.0% 29.2% 0.0% 27.3% 29,200 4
99 Milwaukee-Waukesha, WI WI 553 6.0% 12.7% 2.7% 31.5% 21,274 2
100 Longview, TX TX 236 5.9% 16.9% 5.9% 13.1% 15,346 1
101 Cleveland, OH OH 844 5.9% 10.5% 3.2% 37.8% 15,584 14
102 Memphis, TN-MS-AR AR MS TN 837 5.9% 9.4% 2.7% 27.7% 19,696 14
103 Albany-Schenectady-Troy, NY NY 450 5.8% 13.1% 3.3% 36.0% 13,527 2
104 Syracuse, NY NY 226 5.8% 8.9% 3.1% 36.7% 12,626 1
105 Kiryas Joel-Poughkeepsie-Newburgh, NY NY 314 5.7% 9.9% 2.2% 17.2% 13,817 2
106 Columbia, SC SC 459 5.7% 13.1% 1.7% 38.3% 19,900 14
107 Indianapolis-Carmel-Greenwood, IN IN 869 5.5% 15.0% 3.5% 34.6% 20,610 24
108 Youngstown-Warren, OH OH 206 5.3% 6.8% 2.9% 32.5% 12,549 12
109 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD DE MD NJ PA 1,719 5.1% 15.3% 1.5% 21.3% 21,261 11
110 Greensboro-High Point, NC NC 373 5.1% 9.4% 2.1% 28.7% 16,354 4
111 Charlotte-Concord-Gastonia, NC-SC NC SC 1,068 5.1% 12.0% 3.4% 31.1% 21,611 15
112 Flint, MI MI 198 5.1% 7.6% 0.0% 42.4% 13,719 0
113 Baltimore-Columbia-Towson, MD MD 901 5.0% 10.2% 1.0% 37.1% 24,083 3
114 Savannah, GA GA 281 5.0% 24.6% 0.7% 31.3% 22,300 10
115 Palm Bay-Melbourne-Titusville, FL FL 325 4.9% 12.0% 2.5% 21.8% 26,000 4
116 Worcester, MA MA 326 4.9% 10.4% 1.2% 30.1% 13,903 1
117 Warner Robins, GA GA 158 4.4% 4.4% 4.4% 19.0% 13,600 1
118 Toledo, OH OH 271 4.4% 5.9% 2.6% 42.8% 17,749 11
119 Fayetteville-Springdale-Rogers, AR AR 183 4.4% 12.6% 3.8% 22.4% 23,000 1
120 Greenville-Anderson-Greer, SC SC 352 4.3% 8.0% 1.4% 21.9% 18,150 6
121 Denver-Aurora-Centennial, CO CO 1,018 4.2% 8.6% 2.0% 28.3% 28,000 9
122 Pittsburgh, PA PA 937 4.2% 11.5% 0.5% 20.6% 13,093 5
123 Boston-Cambridge-Newton, MA-NH MA NH 1,432 4.1% 9.0% 0.7% 23.7% 16,412 1
124 Green Bay, WI WI 170 4.1% 8.8% 0.0% 22.4% 16,351 2
125 San Jose-Sunnyvale-Santa Clara, CA CA 429 4.0% 11.0% 2.3% 23.1% 18,900 1
126 Buffalo-Cheektowaga, NY NY 360 3.9% 8.3% 1.7% 22.2% 14,376 1
127 Tuscaloosa, AL AL 187 3.7% 8.0% 3.7% 32.6% 15,480 8
128 Washington-Arlington-Alexandria, DC-VA-MD-WV DC MD VA WV 1,638 3.7% 10.4% 2.4% 26.2% 28,534 1
129 Portland-South Portland, ME ME 219 3.7% 6.8% 0.5% 28.8% 14,934 1
130 Mobile, AL AL 248 3.6% 10.9% 2.0% 30.2% 18,903 5
131 Providence-Warwick, RI-MA MA RI 580 3.4% 8.8% 1.4% 27.4% 15,779 0
132 Omaha, NE-IA IA NE 323 3.4% 5.9% 0.0% 28.8% 18,568 13
133 Grand Rapids-Wyoming-Kentwood, MI MI 395 3.3% 7.8% 0.0% 17.0% 16,895 2
134 Madison, WI WI 275 3.3% 9.5% 1.5% 10.9% 13,233 8
135 Des Moines-West Des Moines, IA IA 306 3.3% 4.9% 1.6% 35.3% 16,700 6
136 Augusta-Richmond County, GA-SC GA SC 298 3.0% 8.1% 0.0% 25.8% 17,950 5
137 Boise City, ID ID 265 2.6% 5.3% 1.1% 28.3% 21,000 3
138 Raleigh-Cary, NC NC 504 2.6% 7.5% 0.8% 28.2% 24,280 5
139 Huntsville, AL AL 283 2.5% 8.1% 1.1% 19.1% 23,003 0
140 Lubbock, TX TX 203 2.5% 16.7% 1.0% 6.9% 18,948 3
141 Rockford, IL IL 168 2.4% 3.6% 2.4% 23.8% 15,376 23
142 North Port-Bradenton-Sarasota, FL FL 299 2.3% 24.7% 2.3% 15.1% 40,000 1
143 Lansing-East Lansing, MI MI 179 2.2% 5.0% 0.0% 35.8% 12,909 4
144 Huntington-Ashland, WV-KY-OH KY OH WV 224 2.2% 2.2% 0.0% 25.9% 9,900 5
145 Virginia Beach-Chesapeake-Norfolk, VA-NC NC VA 683 2.2% 8.6% 0.0% 28.4% 23,690 1
146 Columbus, GA-AL AL GA 196 1.5% 12.2% 0.0% 16.8% 16,000 0
147 Davenport-Moline-Rock Island, IA-IL IA IL 224 1.3% 4.9% 0.9% 26.8% 11,093 8
148 Rochester, NY NY 375 1.3% 7.7% 0.3% 22.4% 13,456 1
149 Gulfport-Biloxi, MS MS 218 0.9% 3.2% 0.9% 28.4% 16,136 4
150 Pensacola-Ferry Pass-Brent, FL FL 236 0.8% 13.1% 0.0% 18.2% 26,000 1
151 Florence, SC SC 154 0.6% 5.2% 0.6% 18.8% 15,100 4
152 Peoria, IL IL 172 0.6% 0.6% 0.0% 29.7% 11,550 1
153 Fayetteville, NC NC 200 0.5% 0.5% 0.0% 14.0% 22,008 0
154 Wichita, KS KS 203 0.5% 6.9% 0.0% 28.1% 16,100 5
155 Crestview-Fort Walton Beach-Destin, FL FL 153 0.0% 11.8% 0.0% 8.5% 30,000 1
155 Lynchburg, VA VA 166 0.0% 1.8% 0.0% 0.0% 15,839 0
155 Myrtle Beach-Conway-North Myrtle Beach, SC SC 201 0.0% 16.9% 0.0% 0.0% 24,350 0
155 Sioux Falls, SD-MN MN SD 170 0.0% 5.9% 0.0% 36.5% 10,400 2
155 Wilmington, NC NC 167 0.0% 3.0% 0.0% 4.2% 28,087 0

Cite this table: G2M Insights, "Metro Truck Exposure Rankings," G2M Fuel & Convenience Research, edition 2026-09-13-v15, g2m.ai/research/fuel-convenience/truck-exposure-rankings-by-metro.

  • Truck traffic on the busiest road within 650 ft:
  • No road within 650 ft
  • Up to 2,500 trucks a day
  • 2,500 to 5,000
  • 5,000 to 10,000
  • More than 10,000

Reading this table

Truck traffic on the busiest road

The bar splits a metro's sites by the heaviest truck traffic on any inventoried road within about 650 feet: no road, up to 2,500 trucks a day, 2,500 to 5,000, 5,000 to 10,000, more than 10,000. The last two bands together are the share on a truck corridor.

Supporting columns

The shares at 2,500 and 10,000 trucks a day use the same roughly 650-foot (200-meter) radius. Within 0.6 miles of an interstate is proximity to a functional system 1 segment, not access to it; no ramp geometry is loaded. Busiest road is the annual average daily traffic, all vehicles, on the highest-volume segment within that radius, at the median site. Travel centers is the count of confirmed sites in that channel.

Scope

Metropolitan Statistical Areas on the July 2023 delineation with at least 150 confirmed retail sites and a confirmation rate of 80 percent or more. 159 of 393 qualify. Puerto Rico is held out. Unattended cardlocks and fleet islands are excluded from every count.

What these figures are not

Traffic past a site is exposure, not diesel gallons, truck customers or captured demand. Site counts are not fuel volume, revenue, margin or market share. Truck counts are missing on about a tenth of interstate segments nationally and a quarter in Maryland and Pennsylvania, so some metros' shares are floors. No trend is shown; one structure edition is published.

Edition

These figures are pinned to edition 2026-09-13-v15 and do not change when new data is published. The Fuel & Convenience Market Explorer follows the current release and may differ.