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Fittest of the Fit Guide

Fittest of the Fit: Apr 2011 to Apr 2012

US Cities: Largest Cities over 300k   |   Mid-Cities between 50k and 300k   |   Small Cities under 50k

This list is a ranked list of US Cities with populations greater than 5,000 people, registered user counts greater than 100, and a user to population density count of over 0.25%.
(Map below shows the top 50)

Rank City Pop.1 Participants2 Members3 % Under % Normal % Over % Obese Activities Distance oO-Idx 4 a-Idx 5
1 Louisville, KY
597,337 5,611 (0.93%) 14,895 (2.49%) 1.82% 38.99% 34.65% 24.52% 235,126 862,612 mi 59.17% 36.59
2 Minneapolis, MN 382,578 6,804 (1.77%) 17,946 (4.69%) 1.72% 50.99% 32.42% 14.85% 89,497 536,128 mi 47.28% 21.74
3 Atlanta, GA 420,003 6,196 (1.47%) 17,140 (4.08%) 2.32% 51.56% 33.27% 12.84% 89,179 423,790 mi 46.11% 19.73
4 Denver, CO
600,158 9,153 (1.52%) 25,450 (4.24%) 3.40% 52.58% 32.02% 11.98% 120,725 759,788 mi 44.00% 18.70
5 Pittsburgh, PA
305,704 4,124 (1.34%) 10,195 (3.33%) 2.33% 52.45% 32.30% 12.90% 58,370 293,112 mi 45.21% 17.75
6 Seattle, WA
608,660 7,223 (1.18%) 21,025 (3.45%) 1.87% 53.66% 32.63% 11.81% 103,986 605,010 mi 44.45% 15.88
7 Austin, TX 790,390 9,694 (1.22%) 22,312 (2.82%) 2.36% 50.27% 32.56% 14.79% 131,947 771,990 mi 47.36% 15.51
8 Portland, OR 583,776 6,958 (1.19%) 19,178 (3.28%) 2.12% 50.94% 33.11% 13.82% 94,571 578,278 mi 46.93% 15.06
9 Miami, FL 399,457 5,374 (1.34%) 10,008 (2.50%) 2.50% 39.95% 37.89% 19.64% 60,838 311,669 mi 57.54% 14.15
10 Tampa, FL 335,709 3,957 (1.17%) 7,713 (2.29%) 2.28% 43.95% 35.91% 17.84% 50,498 233,181 mi 53.75% 13.98
11 San Francisco, CA 805,235 8,330 (1.03%) 22,760 (2.82%) 2.90% 59.34% 29.42% 8.32% 110,209 672,282 mi 37.74% 12.72
12 Boston, MA 617,594 6,367 (1.03%) 16,325 (2.64%) 2.69% 57.46% 29.95% 9.88% 79,473 361,162 mi 39.83% 11.96
13 Raleigh, NC 403,892 3,643 (0.90%) 8,354 (2.06%) 2.85% 49.54% 33.39% 14.20% 50,649 278,420 mi 47.60% 11.65
14 Washington, DC 601,723 5,617 (0.93%) 18,284 (3.03%) 2.10% 55.86% 31.50% 10.52% 74,602 351,449 mi 42.02% 11.52
15 San Diego, CA
1,307,402 12,426 (0.95%) 29,189 (2.23%) 2.25% 48.70% 35.51% 13.52% 154,151 875,235 mi 49.04% 10.96
16 Sacramento, CA
466,488 4,258 (0.91%) 9,454 (2.02%) 2.23% 40.08% 34.07% 23.59% 52,997 291,622 mi 57.67% 10.56
17 Colorado Springs, CO
416,427 2,955 (0.70%) 6,224 (1.49%) 1.80% 44.77% 37.22% 16.19% 40,191 229,712 mi 53.41% 8.97
18 Tucson, AZ
520,116 3,631 (0.69%) 8,113 (1.55%) 2.21% 43.95% 34.86% 18.96% 48,491 333,240 mi 53.82% 8.66
19 Las Vegas, NV 583,756 4,614 (0.79%) 9,347 (1.60%) 1.90% 39.61% 36.89% 21.58% 52,907 306,388 mi 58.47% 8.42
20 Charlotte, NC 731,424 4,735 (0.64%) 11,553 (1.57%) 2.10% 47.74% 34.25% 15.88% 62,576 298,087 mi 50.14% 7.95
21 Virginia Beach, VA
437,994 3,012 (0.68%) 6,245 (1.42%) 2.11% 39.85% 38.41% 19.60% 35,800 160,822 mi 58.02% 7.59
22 San Antonio, TX 1,327,407 8,794 (0.66%) 15,667 (1.18%) 2.19% 35.43% 37.24% 25.11% 107,786 526,703 mi 62.36% 7.54
23 New Orleans, LA 343,829 2,140 (0.62%) 4,507 (1.31%) 2.42% 46.85% 34.31% 16.40% 27,794 130,204 mi 50.72% 7.51
24 Omaha, NE
408,958 2,610 (0.63%) 6,098 (1.49%) 2.28% 44.92% 35.00% 17.78% 32,753 183,390 mi 52.78% 7.44
25 Nashville, TN
601,222 3,342 (0.55%) 7,753 (1.28%) 2.28% 50.96% 31.12% 15.62% 45,893 222,720 mi 46.74% 7.09
26 Columbus, OH 787,033 4,636 (0.58%) 11,947 (1.51%) 1.92% 49.38% 31.80% 16.88% 58,624 302,198 mi 48.68% 6.92
27 Baltimore, MD 620,961 3,125 (0.50%) 8,525 (1.37%) 1.90% 51.33% 32.96% 13.78% 43,590 205,717 mi 46.75% 6.52
28 Albuquerque, NM 545,852 2,833 (0.51%) 5,608 (1.02%) 1.98% 44.00% 36.95% 17.06% 38,045 219,107 mi 54.01% 6.47
29 Long Beach, CA 462,257 2,584 (0.55%) 5,429 (1.17%) 2.27% 43.78% 35.25% 18.67% 31,335 183,611 mi 53.93% 6.30
30 Kansas City, MO 459,787 2,479 (0.53%) 5,974 (1.29%) 2.21% 44.88% 35.79% 17.11% 30,529 158,932 mi 52.90% 6.17
31 Chicago, IL 2,695,598 13,871 (0.51%) 38,589 (1.43%) 2.44% 51.67% 31.84% 14.02% 174,698 849,787 mi 45.87% 6.02
32 San Jose, CA 945,942 4,601 (0.48%) 10,369 (1.09%) 2.25% 42.53% 36.34% 18.86% 60,773 378,327 mi 55.21% 5.97
33 Dallas, TX 1,197,816 5,900 (0.49%) 13,446 (1.12%) 2.25% 46.39% 34.22% 17.12% 75,823 413,232 mi 51.35% 5.88
34 Indianapolis, IN 820,445 3,928 (0.47%) 9,046 (1.10%) 2.21% 44.02% 33.81% 19.94% 51,535 297,065 mi 53.76% 5.83
35 Oakland, CA 390,724 1,691 (0.43%) 5,144 (1.31%) 1.86% 50.48% 33.56% 14.08% 24,216 161,909 mi 47.65% 5.76
36 Jacksonville, FL 821,784 4,015 (0.48%) 8,121 (0.98%) 2.40% 38.24% 36.46% 22.89% 49,843 243,849 mi 59.35% 5.63
37 Fort Worth, TX 741,206 3,815 (0.51%) 6,980 (0.94%) 2.00% 38.69% 36.47% 22.82% 44,130 202,490 mi 59.30% 5.53
38 Milwaukee, WI 594,833 2,760 (0.46%) 7,870 (1.32%) 1.50% 46.12% 34.12% 18.25% 35,344 191,287 mi 52.37% 5.52
39 Tulsa, OK 391,906 1,911 (0.48%) 3,839 (0.97%) 2.13% 40.79% 35.12% 21.95% 21,607 127,052 mi 57.07% 5.12
40 Aurora, CO 325,078 1,443 (0.44%) 3,118 (0.95%) 2.18% 40.12% 38.40% 19.28% 17,454 118,997 mi 57.68% 4.99
41 Riverside, CA 303,871 1,694 (0.55%) 3,302 (1.08%) 2.29% 37.76% 34.72% 25.21% 16,147 88,824 mi 59.94% 4.93
42 Mesa, AZ 439,041 1,723 (0.39%) 3,636 (0.82%) 2.01% 39.28% 37.14% 21.55% 22,855 148,882 mi 58.70% 4.83
43 Houston, TX 2,099,451 9,203 (0.43%) 19,837 (0.94%) 2.62% 41.14% 34.28% 21.95% 106,124 575,294 mi 56.23% 4.69
44 Arlington, TX 365,438 1,518 (0.41%) 2,959 (0.80%) 1.95% 35.81% 34.30% 27.92% 18,228 101,813 mi 62.23% 4.63
45 Philadelphia, PA 1,526,006 6,140 (0.40%) 14,293 (0.93%) 2.23% 52.84% 31.58% 13.32% 76,061 406,101 mi 44.91% 4.63
46 Cleveland, OH 396,815 1,527 (0.38%) 4,029 (1.01%) 1.99% 41.58% 33.82% 22.59% 19,519 99,027 mi 56.42% 4.57
47 Wichita, KS 382,368 1,553 (0.40%) 3,209 (0.83%) 1.77% 40.08% 35.20% 22.92% 18,670 87,553 mi 58.13% 4.53
48 Memphis, TN 646,889 2,414 (0.37%) 5,026 (0.77%) 2.79% 41.01% 35.00% 21.19% 31,094 157,381 mi 56.19% 4.46
49 Oklahoma City, OK 579,999 2,362 (0.40%) 4,489 (0.77%) 2.13% 38.53% 36.16% 23.16% 27,663 137,569 mi 59.32% 4.43
50 Bakersfield, CA
347,483 1,719 (0.49%) 3,001 (0.86%) 2.31% 38.20% 33.97% 25.51% 16,230 101,904 mi 59.48% 4.34
51 Corpus Christi, TX 305,215 1,194 (0.39%) 2,014 (0.65%) 2.48% 34.99% 34.89% 27.62% 14,191 62,903 mi 62.52% 4.32
52 Phoenix, AZ 1,445,632 4,981 (0.34%) 10,507 (0.72%) 2.04% 40.75% 36.55% 20.64% 64,123 365,071 mi 57.19% 4.12
53 Fresno, CA
494,665 1,989 (0.40%) 3,826 (0.77%) 2.62% 37.29% 35.46% 24.61% 21,675 133,066 mi 60.07% 4.07
54 Anaheim, CA 336,265 1,382 (0.41%) 2,434 (0.72%) 1.76% 37.06% 38.16% 22.99% 13,982 82,957 mi 61.16% 3.86
55 Los Angeles, CA 3,792,621 12,514 (0.32%) 27,572 (0.72%) 2.73% 48.50% 32.37% 16.39% 146,065 803,811 mi 48.76% 3.58
56 New York, NY
8,175,133 25,276 (0.30%) 52,685 (0.64%) 3.22% 55.05% 30.32% 11.39% 300,850 1,496,013 mi 41.72% 3.42
57 El Paso, TX
649,121 1,865 (0.28%) 3,210 (0.49%) 2.00% 33.67% 39.86% 24.45% 19,118 98,037 mi 64.32% 2.73
58 Santa Ana, CA 324,528 759 (0.23%) 1,625 (0.50%) 3.31% 41.17% 35.44% 20.06% 8,640 45,738 mi 55.50% 2.47
59 St. Louis, MO 319,294 272 (0.08%) 1,554 (0.48%) 1.15% 55.98% 33.20% 9.65% 5,518 28,504 mi 42.85% 1.60

1 Population is the United States Census 2010 data.

2 Study Participants represents the total number of MapMyFITNESS users with complete datasets (BMI, Height, Weight, Workouts, Routes, Food Logging, plus a number of additional criteria) in that location minus any users that have their location protected for privacy reasons.

3 MapMyFITNESS Members represents the total number of MapMyFITNESS members in that location minus any users that have their location protected for privacy reasons.

4 Overweight & Obese Index (oO-Idx) is the combined overweight BMI and obese BMI percentages for a location. The higher the Overweight & Obese Index is, the more overweight and obese the user sample of the population is.

5 FoF Activity Index (a-Idx) is a proprietary MapMyFITNESS index based on the locations activity level, percentage population engagement, and other factors. The higher the Activity Index is in relation to another location, the more fit (and active) that location is.

** Results have been updated to include a correction to previously run data. Current Index is based on a rolling 13month period and includes cities that were erroneously missing in the originally published data.

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