The 2018 Growth 40 Breakdown

     


    Click row headers to re-sort the chart.

    dma npd score DMA Population Rank, 2018 DMA Population Rank, 2023 qsrs open as of march 31 QSRs Per 100,000 Population as of March 31 Forecasted QSR Traffic Growth 2018-2023 2018 population 2023 population projected projected population growth
    Yuma-El Centro, AZ 32 153 148 283 71.9 2% 393,625 408,512 4%
    Elmira, NY 29 177 179 224 93.5 12% 239,463 231,701 -3%
    Harlingen-Weslaco-Brownsville-McAllen, TX 27 63 58 1,156 83.9 9% 1,377,874 1,447,823 5%
    Watertown, NY 25 174 180 228 91.4 1% 249,457 229,264 -8%
    Erie, PA 23 150 154 363 91.1 4% 398,285 387,350 -3%
    Duluth-Superior, MN-WI 22 146 146 357 84.9 -1% 420,508 415,817 -1%
    Quincy-Hannibal-Keokuk, IL-MO-IA 22 173 174 218 84.6 -3% 257,570 248,715 -3%
    Tampa-St. Petersburg-Sarasota, FL 21 13 13 4,512 92.4 16% 4,883,614 5,389,457 10%
    Idaho Falls-Pocatello, ID 21 152 144 375 95.0 16% 394,648 422,237 7%
    Rochester-Mason City-Austin, MN 21 156 155 331 87.5 4% 378,117 387,348 2%
    Ft. Myers-Naples, FL 20 60 54 1,274 91.6 17% 1,390,927 1,566,875 13%
    Yakima-Pasco-Richland-Kennewick, WA 20 109 105 703 94.8 13% 741,250 787,126 6%
    Terre Haute, IN 20 155 156 356 93.7 5% 379,893 374,406 -1%
    Buffalo, NY 20 54 55 1,540 96.8 7% 1,591,288 1,566,429 -2%
    Utica, NY 20 168 170 245 91.5 2% 267,685 263,038 -2%
    Burlington-Plattsburgh, VT-NY 19 97 100 830 98.9 9% 838,830 829,353 -1%
    Monroe-El Dorado, LA-AR 19 134 138 444 93.2 3% 476,470 466,620 -2%
    Miami-Ft. Lauderdale, FL 18 15 14 4,719 98.3 14% 4,800,970 5,046,819 5%
    Sioux Falls-Mitchell, SD 17 115 114 649 92.1 5% 704,869 728,704 3%
    Huntsville-Decatur-Florence, AL 17 80 79 1019 98.1 9% 1,038,577 1,060,724 2%
    Springfield-Holyoke, MA 17 116 116 739 105.6 14% 699,837 701,713 0%
    Fargo-Valley City, ND 16 121 120 615 95.5 8% 643,725 667,411 4%
    South Bend-Elkhart, IN 16 95 96 909 101.1 10% 898,868 906,389 1%
    Lafayette, LA 16 119 121 661 101.9 11% 648,391 655,452 1%
    Wausau-Rhinelander, WI 16 142 143 415 94.8 2% 437,785 434,692 -1%
    Lexington, KY 15 65 64 1,340 102.4 12% 1,309,069 1,343,760 3%
    Green Bay-Appleton, WI 15 71 71 1,062 93.0 2% 1,141,340 1,151,494 1%
    La Crosse-Eau Claire, WI 15 128 128 533 93.5 2% 569,920 577,568 1%
    Macon, GA 15 118 119 668 99.1 5% 674,285 670,189 -1%
    Binghamton, NY 15 158 161 320 93.3 -3% 342,826 330,689 -4%
    West Palm Beach-Ft. Pierce, FL 14 40 39 2,067 96.2 12% 2,149,273 2,332,324 9%
    Ft. Smith, AR 14 96 91 946 107.1 20% 882,939 946,307 7%
    Augusta, GA 14 114 112 686 95.6 4% 717,912 734,874 2%
    Albany, GA 14 148 152 401 98.0 2% 409,236 400,396 -2%
    Minot-Bismarck-Dickinson, ND 14 144 151 405 95.9 -3% 422,206 401,240 -5%
    Columbus-Tupelo-West Point, MS 13 132 135 485 98.5 4% 492,516 490,963 0%
    Joplin-Pittsburgh, MO-KS 13 149 153 431 107.0 11% 402,638 399,506 -1%
    Montgomery, AL 13 124 126 619 100.2 3% 617,759 608,078 -2%
    Bluefield-Beckley-Oak Hill, WV 13 160 163 352 105.7 4% 333,163 313,624 -6%
    Memphis, TN 12 49 51 1911 104.7 8% 1,825,123 1,811,294 -1%

    METHODOLOGY: The Growth 40 uses historical information from NPD's CREST reports, which track consumer usage at foodservice outlets, as well as a population forecast from California-based Applied Geographic Solutions (AGS) to produce the QSR Traffic Growth Forecast statistic. The Score is a proprietary metric that is a measure of market opportunity. It takes into account the quick-service restaurant density in a market, as well as the difference between the traffic growth and population growth. A high score could be driven by a large difference between population and traffic growth and/or a low quick-service restaurant density..


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