Top 100 U.S. metros for new tunnel car washes
Metro areas ranked by whitespace index at one tunnel per 20,000 people, out of 925 U.S. metro and micro areas. Updated October 29, 2026.
Open the map Southeast rankings
Whitespace index (estimate): the weighted population in a metro's tracts that are short of tunnel car washes, divided by 20,000. Dense urban tracts are weighted down and income nudges demand. It ranks markets to study; it is not a count of buildable sites. Tunnels (operating only; tunnels in development are their own column and count as open in the index) and population are actual counts (tunnels verified October 2026, population Esri 2024 estimates). Rankings at 25,000 and 15,000 people per tunnel are in the map's market table.
| U.S. rank | Metro | Whitespace index (est.) | Population 2024 | Tunnels | In development | People per tunnel |
|---|---|---|---|---|---|---|
| 1 | New York-Newark-Jersey City, NY-NJ | 300.4 | 19,850,485 | 279 | 13 | 71,149 |
| 2 | Los Angeles-Long Beach-Anaheim, CA | 282.2 | 12,940,761 | 297 | 11 | 43,572 |
| 3 | Miami-Fort Lauderdale-West Palm Beach, FL | 168.7 | 6,248,398 | 166 | 29 | 37,641 |
| 4 | Washington-Arlington-Alexandria, DC-VA-MD-WV | 158.8 | 6,429,395 | 148 | 10 | 43,442 |
| 5 | Seattle-Tacoma-Bellevue, WA | 140.2 | 4,172,852 | 70 | 2 | 59,612 |
| 6 | San Francisco-Oakland-Fremont, CA | 135.9 | 4,742,455 | 55 | 2 | 86,226 |
| 7 | Chicago-Naperville-Elgin, IL-IN | 112.9 | 9,280,082 | 366 | 13 | 25,355 |
| 8 | Houston-Pasadena-The Woodlands, TX | 108.1 | 7,619,359 | 348 | 11 | 21,895 |
| 9 | Atlanta-Sandy Springs-Roswell, GA | 100.4 | 6,399,274 | 264 | 2 | 24,240 |
| 10 | San Diego-Chula Vista-Carlsbad, CA | 98.5 | 3,297,610 | 81 | 2 | 40,711 |
| 11 | Dallas-Fort Worth-Arlington, TX | 96.4 | 8,195,415 | 421 | 9 | 19,467 |
| 12 | Boston-Cambridge-Newton, MA-NH | 85.4 | 4,978,502 | 130 | 1 | 38,296 |
| 13 | Minneapolis-St. Paul-Bloomington, MN-WI | 82.1 | 3,790,663 | 86 | 3 | 44,077 |
| 14 | Portland-Vancouver-Hillsboro, OR-WA | 81.1 | 2,593,190 | 48 | 2 | 54,025 |
| 15 | Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 72.7 | 6,307,532 | 204 | 25 | 30,919 |
| 16 | Riverside-San Bernardino-Ontario, CA | 71.0 | 4,719,812 | 200 | 6 | 23,599 |
| 17 | Phoenix-Mesa-Chandler, AZ | 68.0 | 5,149,752 | 234 | 1 | 22,007 |
| 18 | Sacramento-Roseville-Folsom, CA | 61.7 | 2,466,648 | 76 | 1 | 32,456 |
| 19 | San Jose-Sunnyvale-Santa Clara, CA | 58.5 | 1,994,508 | 23 | 2 | 86,718 |
| 20 | Denver-Aurora-Centennial, CO | 58.3 | 3,081,342 | 112 | 4 | 27,512 |
| 21 | Baltimore-Columbia-Towson, MD | 56.1 | 2,867,112 | 86 | 7 | 33,339 |
| 22 | Detroit-Warren-Dearborn, MI | 44.1 | 4,364,290 | 214 | 18 | 20,394 |
| 23 | Urban Honolulu, HI | 39.1 | 1,014,704 | 2 | 0 | 507,352 |
| 24 | Tampa-St. Petersburg-Clearwater, FL | 37.9 | 3,353,755 | 166 | 6 | 20,203 |
| 25 | Cincinnati, OH-KY-IN | 37.1 | 2,284,819 | 78 | 1 | 29,293 |
| 26 | Cleveland, OH | 37.0 | 2,165,812 | 82 | 1 | 26,412 |
| 27 | St. Louis, MO-IL | 35.9 | 2,824,501 | 115 | 0 | 24,561 |
| 28 | Pittsburgh, PA | 34.3 | 2,447,995 | 71 | 0 | 34,479 |
| 29 | Austin-Round Rock-San Marcos, TX | 33.6 | 2,550,817 | 110 | 4 | 23,189 |
| 30 | Indianapolis-Carmel-Greenwood, IN | 33.2 | 2,173,541 | 74 | 0 | 29,372 |
| 31 | Charlotte-Concord-Gastonia, NC-SC | 31.8 | 2,851,936 | 123 | 3 | 23,186 |
| 32 | Orlando-Kissimmee-Sanford, FL | 31.7 | 2,884,681 | 121 | 9 | 23,840 |
| 33 | Las Vegas-Henderson-North Las Vegas, NV | 27.7 | 2,387,864 | 112 | 6 | 21,320 |
| 34 | Milwaukee-Waukesha, WI | 26.8 | 1,571,006 | 50 | 3 | 31,420 |
| 35 | Buffalo-Cheektowaga, NY | 26.0 | 1,166,952 | 28 | 0 | 41,677 |
| 36 | Raleigh-Cary, NC | 25.7 | 1,552,570 | 55 | 2 | 28,229 |
| 37 | Columbus, OH | 23.4 | 2,209,888 | 97 | 0 | 22,782 |
| 38 | Providence-Warwick, RI-MA | 23.4 | 1,685,677 | 56 | 2 | 30,101 |
| 39 | Fresno, CA | 22.7 | 1,191,199 | 30 | 0 | 39,707 |
| 40 | Oxnard-Thousand Oaks-Ventura, CA | 21.6 | 835,273 | 19 | 1 | 43,962 |
| 41 | Virginia Beach-Chesapeake-Norfolk, VA-NC | 21.0 | 1,802,655 | 83 | 2 | 21,719 |
| 42 | Kansas City, MO-KS | 20.9 | 2,246,258 | 112 | 2 | 20,056 |
| 43 | Jacksonville, FL | 18.1 | 1,737,832 | 81 | 2 | 21,455 |
| 44 | Stockton-Lodi, CA | 17.1 | 808,566 | 24 | 1 | 33,690 |
| 45 | Nashville-Davidson--Murfreesboro--Franklin, TN | 16.9 | 2,189,414 | 103 | 2 | 21,256 |
| 46 | Allentown-Bethlehem-Easton, PA-NJ | 15.6 | 879,176 | 19 | 1 | 46,272 |
| 47 | Bridgeport-Stamford-Danbury, CT | 15.6 | 954,750 | 39 | 0 | 24,481 |
| 48 | Vallejo, CA | 15.5 | 457,532 | 9 | 1 | 50,837 |
| 49 | Salt Lake City-Murray, UT | 15.0 | 1,312,144 | 65 | 1 | 20,187 |
| 50 | San Antonio-New Braunfels, TX | 14.3 | 2,733,998 | 169 | 7 | 16,178 |
| 51 | New Orleans-Metairie, LA | 13.6 | 988,645 | 38 | 1 | 26,017 |
| 52 | Richmond, VA | 12.1 | 1,365,279 | 72 | 3 | 18,962 |
| 53 | Louisville/Jefferson County, KY-IN | 12.0 | 1,385,677 | 74 | 0 | 18,725 |
| 54 | Santa Maria-Santa Barbara, CA | 11.9 | 446,682 | 8 | 1 | 55,835 |
| 55 | Albany-Schenectady-Troy, NY | 11.5 | 905,684 | 30 | 0 | 30,189 |
| 56 | Salinas, CA | 11.5 | 437,154 | 5 | 0 | 87,431 |
| 57 | Madison, WI | 11.3 | 706,315 | 13 | 4 | 54,332 |
| 58 | Trenton-Princeton, NJ | 11.2 | 384,446 | 9 | 1 | 42,716 |
| 59 | Omaha, NE-IA | 11.0 | 998,882 | 44 | 4 | 22,702 |
| 60 | Memphis, TN-MS-AR | 10.9 | 1,344,037 | 61 | 1 | 22,033 |
| 61 | New Haven, CT | 10.0 | 574,778 | 21 | 0 | 27,370 |
| 62 | Anchorage, AK | 9.6 | 401,604 | 2 | 1 | 200,802 |
| 63 | Santa Rosa-Petaluma, CA | 9.2 | 486,997 | 10 | 0 | 48,700 |
| 64 | Deltona-Daytona Beach-Ormond Beach, FL | 9.2 | 718,006 | 29 | 0 | 24,759 |
| 65 | Rochester, NY | 9.1 | 1,054,080 | 44 | 1 | 23,956 |
| 66 | Salem, OR | 8.7 | 447,179 | 9 | 0 | 49,687 |
| 67 | Grand Rapids-Wyoming-Kentwood, MI | 8.6 | 1,174,989 | 52 | 3 | 22,596 |
| 68 | Eugene-Springfield, OR | 8.4 | 389,590 | 9 | 0 | 43,288 |
| 69 | Port St. Lucie, FL | 8.3 | 532,807 | 25 | 0 | 21,312 |
| 70 | Ann Arbor, MI | 8.2 | 369,917 | 10 | 0 | 36,992 |
| 71 | Boise City, ID | 8.2 | 852,423 | 30 | 2 | 28,414 |
| 72 | Boulder, CO | 8.0 | 334,690 | 7 | 0 | 47,813 |
| 73 | Dayton-Kettering-Beavercreek, OH | 7.9 | 816,932 | 37 | 0 | 22,079 |
| 74 | Durham-Chapel Hill, NC | 7.6 | 620,668 | 19 | 0 | 32,667 |
| 75 | Akron, OH | 7.4 | 697,418 | 28 | 0 | 24,908 |
| 76 | Santa Cruz-Watsonville, CA | 7.4 | 265,241 | 3 | 0 | 88,414 |
| 77 | Lakeland-Winter Haven, FL | 7.4 | 812,640 | 25 | 0 | 32,506 |
| 78 | Syracuse, NY | 7.2 | 652,264 | 17 | 1 | 38,368 |
| 79 | Manchester-Nashua, NH | 7.0 | 430,661 | 15 | 0 | 28,711 |
| 80 | Tucson, AZ | 7.0 | 1,070,655 | 58 | 1 | 18,460 |
| 81 | Lancaster, PA | 6.9 | 562,129 | 13 | 0 | 43,241 |
| 82 | Kiryas Joel-Poughkeepsie-Newburgh, NY | 6.7 | 707,674 | 20 | 1 | 35,384 |
| 83 | Erie, PA | 6.6 | 266,234 | 3 | 0 | 88,745 |
| 84 | Reno, NV | 6.5 | 581,543 | 24 | 0 | 24,231 |
| 85 | Wichita, KS | 6.4 | 655,685 | 26 | 0 | 25,219 |
| 86 | McAllen-Edinburg-Mission, TX | 6.1 | 910,138 | 57 | 1 | 15,967 |
| 87 | El Paso, TX | 5.9 | 884,483 | 48 | 1 | 18,427 |
| 88 | Worcester, MA | 5.7 | 873,923 | 37 | 0 | 23,620 |
| 89 | North Port-Bradenton-Sarasota, FL | 5.7 | 914,199 | 47 | 1 | 19,451 |
| 90 | Albuquerque, NM | 5.6 | 926,835 | 48 | 0 | 19,309 |
| 91 | Olympia-Lacey-Tumwater, WA | 5.5 | 308,555 | 6 | 0 | 51,426 |
| 92 | Tulsa, OK | 5.3 | 1,049,778 | 61 | 2 | 17,209 |
| 93 | Fort Collins-Loveland, CO | 5.3 | 378,187 | 15 | 1 | 25,212 |
| 94 | Cape Coral-Fort Myers, FL | 5.2 | 840,698 | 46 | 7 | 18,276 |
| 95 | Oklahoma City, OK | 5.2 | 1,486,341 | 85 | 4 | 17,486 |
| 96 | Reading, PA | 4.9 | 432,799 | 12 | 0 | 36,067 |
| 97 | Palm Bay-Melbourne-Titusville, FL | 4.7 | 642,218 | 38 | 2 | 16,900 |
| 98 | Provo-Orem-Lehi, UT | 4.5 | 749,524 | 45 | 1 | 16,656 |
| 99 | Harrisburg-Carlisle, PA | 4.5 | 610,119 | 19 | 0 | 32,112 |
| 100 | Hartford-West Hartford-East Hartford, CT | 4.4 | 1,156,623 | 50 | 0 | 23,132 |
How to read this table
Very dense areas are weighted down, starting at 4,000 people per square mile and reaching zero at 12,000, because land cost and stacking room limit tunnel washes there. Household income moves demand up or down slightly (0.85 to 1.10). Tunnels in development are counted as if open. Because of these adjustments a tract's gap is not simply its population divided by 20,000.
Nationally there are about 28,400 people per operating tunnel car wash (this build). In mature Sunbelt states the typical figure is closer to 15,000 (state medians from about 10,500 in South Carolina to 19,900 in Florida, October 2026 analysis). Rankings use 20,000; every tract on the map also shows 25,000 and 15,000.
The whitespace index for a metro is the weighted population in its flagged tracts divided by 20,000. It is an estimate, not a count of buildable sites.
The map does not show parcel availability, zoning, traffic counts, the quality of existing competitors or site economics. Use it to choose which markets to study, then underwrite the site.