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Table 4-28: Annual Wasted Fuel Due to Congestion

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Urban area Population group Gallons wasted (millions) Short-term 2005-2010 Long-term 1982-2010
(R) 1982 (R) 1985 (R) 1990 (R) 1991 (R) 1992 (R) 1993 (R) 1994 (R) 1995 (R) 1996 (R) 1997 (R) 1998 (R) 1999 (R) 2000 (R) 2001 (R) 2002 (R) 2003 (R) 2004 (R) 2005 (R) 2006 (R) 2007 (R) 2008 (R) 2009 2010 Percent changea Rank Percent changea Rank
Akron, OH Medium 0.2 0.2 0.6 0.6 0.8 0.9 1.2 1.0 1.3 1.5 1.6 1.6 1.6 1.6 1.5 1.4 1.6 1.6 1.6 1.4 1.1 1.0 1.0 -32.9 91 516.6 51
Albany-Schenectady, NY Medium 0.3 0.4 0.8 0.8 0.8 0.9 1.0 1.0 1.1 1.1 1.3 1.4 1.5 1.7 1.9 2.1 2.4 2.6 2.9 3.3 2.8 2.9 2.4 -6.8 39 659.2 36
Albuquerque, NM Medium 0.4 0.5 0.9 1.0 1.2 1.3 1.4 1.5 1.7 1.8 1.9 2.0 1.8 1.7 1.6 1.7 1.9 2.0 2.1 2.1 2.4 2.1 1.7 -14.4 57 373.6 64
Allentown-Bethlehem, PA-NJ Medium 0.4 0.5 0.7 0.7 0.9 1.1 1.2 1.4 1.6 1.8 1.9 1.7 1.9 1.8 1.8 1.8 1.9 1.9 1.8 1.9 1.6 1.7 1.8 -8.4 45 344.3 69
Anchorage, AK Small 0.5 0.6 0.6 0.6 0.6 0.6 0.6 0.6 0.7 0.7 0.7 0.7 0.8 0.8 0.9 0.9 0.9 0.9 0.9 0.9 0.7 0.6 0.5 -39.8 96 -0.2 101
Atlanta, GA Very large 6.7 10.0 16.3 18.6 21.9 26.1 31.1 34.5 37.6 42.1 46.8 48.7 53.2 55.3 59.1 61.3 61.9 64.9 63.3 61.7 52.1 50.9 53.0 -18.3 67 694.4 32
Austin, TX Large 0.8 1.4 2.1 2.4 2.3 2.6 2.5 3.9 4.4 5.0 5.0 5.6 5.8 6.8 7.2 8.1 9.0 10.3 9.9 9.8 7.7 7.7 8.4 -18.0 66 970.5 17
Bakersfield, CA Medium 0.0 0.1 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.4 0.4 0.4 0.4 0.5 0.6 0.6 0.8 0.9 0.9 0.9 0.9 1.0 0.9 3.6 22 1,910.9 5
Baltimore, MD Large 4.6 7.9 17.2 17.3 17.3 18.5 19.1 20.9 21.3 22.1 21.8 22.8 25.3 28.4 35.0 37.3 38.2 39.1 39.9 40.0 33.2 35.0 36.3 -7.1 40 690.6 33
Baton Rouge, LA Medium 0.7 0.9 1.3 1.5 1.4 1.8 2.0 2.3 2.4 2.5 2.6 3.1 3.1 3.3 3.3 3.8 4.0 4.1 4.5 4.5 3.9 3.6 3.3 -20.5 69 374.1 63
Beaumont, TX Small 0.1 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.4 0.5 0.6 0.6 0.7 0.8 0.8 0.9 0.9 0.9 0.6 0.5 0.6 -30.7 88 321.2 75
Birmingham, AL Medium 0.9 1.3 1.7 1.8 2.0 2.4 2.9 3.2 3.5 3.9 4.8 4.9 5.1 5.2 5.5 6.0 6.5 6.5 6.6 6.6 5.5 6.1 5.6 -13.6 54 519.0 50
Boise, ID Small 0.0 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.4 0.4 0.5 0.5 0.6 0.6 0.7 0.7 0.8 0.8 0.8 0.7 0.6 0.6 -23.3 77 1,505.6 9
Boston, MA-NH-RI Very large 11.2 16.7 29.3 30.1 33.4 34.2 35.2 35.5 37.0 40.4 44.4 44.9 48.0 50.2 55.9 56.6 63.5 65.6 65.1 61.4 53.0 51.4 51.8 -21.0 70 360.5 67
Boulder, CO Small 0.3 0.3 0.5 0.6 0.7 0.8 0.8 0.9 0.9 1.1 1.0 1.1 1.1 1.1 1.1 1.1 1.2 1.2 1.3 1.1 0.9 0.9 0.5 -53.1 101 101.9 99
Bridgeport-Stamford, CT-NY Medium 1.4 2.3 3.3 3.2 3.8 3.8 4.2 4.7 4.6 5.4 6.1 6.7 7.2 7.5 8.4 8.4 8.1 8.7 9.3 9.5 7.4 6.4 6.9 -21.1 71 376.8 62
Brownsville, TX Small 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.3 86.3 1 2,407.7 4
Buffalo, NY Large 0.7 0.8 1.4 1.3 1.4 1.5 1.6 1.6 1.7 1.9 2.2 2.5 2.9 3.0 3.1 3.7 3.5 3.7 4.0 3.7 2.9 3.2 3.3 -11.6 52 364.0 66
Cape Coral, FL Small 0.2 0.3 0.5 0.5 0.6 0.8 1.0 1.2 1.2 1.2 1.1 1.2 1.2 1.4 1.5 1.7 1.8 1.9 2.4 2.4 1.7 1.8 1.4 -29.5 86 453.0 55
Charleston-North Charleston, SC Medium 0.8 1.1 1.7 1.8 2.1 2.1 2.2 2.2 2.1 2.2 2.5 2.6 2.6 2.7 2.8 3.0 3.2 3.2 3.4 3.4 2.7 3.1 2.9 -9.8 49 264.2 80
Charlotte, NC-SC Large 0.4 0.8 1.4 1.5 1.6 1.6 1.6 1.6 2.0 2.5 2.9 3.4 4.2 4.5 5.3 5.6 6.1 6.1 6.5 6.7 6.0 6.0 5.2 -14.9 58 1,085.5 15
Chicago, IL-IN Very large 34.2 52.7 84.5 87.0 90.4 91.7 94.5 109.9 125.9 127.8 136.9 137.6 136.4 142.6 169.3 177.1 187.9 200.5 194.1 182.9 158.2 179.7 183.7 -8.4 44 437.5 58
Cincinnati, OH-KY-IN Large 0.6 1.1 2.7 2.9 3.4 4.0 4.8 4.9 5.3 6.2 6.5 6.4 7.0 6.9 7.2 7.7 7.5 7.6 7.5 7.5 6.4 5.8 5.9 -22.1 74 848.3 23
Cleveland, OH Large 0.8 0.9 2.6 2.9 3.1 3.8 4.3 5.3 5.7 6.6 6.2 6.5 6.4 5.6 5.2 5.1 5.9 5.3 5.3 4.9 5.5 5.4 5.5 3.9 21 560.7 46
Colorado Springs, CO Medium 0.4 0.5 0.7 0.8 1.1 1.3 1.7 2.0 2.1 2.8 3.4 4.2 5.0 5.2 5.3 5.2 4.8 6.2 6.1 5.5 3.7 4.0 3.6 -43.0 99 813.1 25
Columbia, SC Small 0.3 0.5 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.2 1.3 1.5 1.7 1.8 1.9 2.1 2.1 2.2 2.7 3.2 2.8 2.9 2.7 25.9 7 897.4 20
Columbus, OH Large 0.3 0.4 1.3 1.3 1.6 1.9 2.1 2.4 2.6 2.8 2.9 2.9 2.9 3.2 3.4 3.7 4.2 4.2 4.1 3.9 4.0 3.6 3.9 -6.0 37 1,413.2 10
Corpus Christi, TX Small 0.1 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.5 0.4 0.5 0.5 0.5 0.4 0.5 0.4 0.5 0.5 -7.1 41 216.9 84
Dallas-Fort Worth-Arlington, TX Very large 5.4 10.3 19.8 22.1 23.6 26.1 27.6 31.5 34.2 35.3 41.1 47.7 51.1 54.0 58.7 63.1 71.5 77.5 82.2 80.7 78.5 79.1 80.6 3.9 20 1,384.9 11
Dayton, OH Medium 0.7 0.9 1.4 1.4 1.5 1.7 1.6 2.0 2.0 2.2 2.2 2.4 2.3 2.1 2.0 1.9 2.4 2.1 2.1 1.9 1.8 1.5 1.5 -31.2 90 103.0 98
Denver-Aurora, CO Large 5.4 7.2 9.3 10.8 12.0 14.5 16.3 19.7 22.4 24.7 26.8 29.5 31.9 33.8 32.8 34.0 35.8 39.0 38.3 37.9 36.9 36.9 40.2 3.0 24 637.8 38
Detroit, MI Very large 16.1 19.7 35.0 37.4 42.1 44.7 42.7 42.6 44.9 46.4 47.3 49.7 50.0 53.1 56.3 58.2 57.5 56.6 57.9 56.9 48.5 43.1 43.9 -22.4 75 172.4 90
El Paso, TX-NM Medium 0.2 0.3 0.5 0.7 0.9 0.9 1.2 1.1 1.0 1.1 1.3 1.7 2.0 2.1 2.2 2.3 2.7 2.8 2.8 2.7 2.0 1.7 2.0 -29.0 85 880.6 21
Eugene, OR Small 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.4 0.5 0.4 0.5 0.5 0.5 0.6 0.5 0.5 0.5 0.4 0.3 -43.2 100 118.8 96
Fresno, CA Medium 0.3 0.3 0.6 0.6 0.6 0.7 0.7 0.7 0.8 0.8 1.0 1.1 1.2 1.1 1.1 1.1 1.1 1.2 1.3 1.3 1.0 1.3 1.2 0.3 29 339.6 71
Grand Rapids, MI Medium 0.2 0.3 0.5 0.5 0.8 1.0 0.9 0.9 1.0 1.0 1.2 1.3 1.3 1.3 1.3 1.4 1.4 1.4 1.4 1.4 1.5 1.6 1.6 11.1 12 849.4 22
Greensboro, NC Small 0.1 0.1 0.2 0.2 0.4 0.5 0.5 0.5 0.9 0.8 0.9 1.0 1.0 1.2 1.3 1.3 1.1 1.0 1.0 0.9 0.9 0.9 1.1 7.4 14 1,380.0 12
Hartford, CT Medium 0.6 0.8 1.3 1.4 2.2 1.8 2.1 2.3 2.4 2.8 3.1 3.4 3.8 3.6 3.7 3.6 4.0 4.1 4.6 4.5 3.6 3.3 3.5 -15.5 60 506.3 52
Honolulu, HI Medium 1.0 1.2 2.2 2.2 2.5 2.5 2.6 2.7 2.7 2.5 2.5 2.5 2.4 2.4 2.3 2.6 2.7 3.0 3.1 3.3 2.9 3.1 2.8 -7.9 43 187.8 88
Houston, TX Very large 17.0 23.8 27.3 26.3 25.2 25.3 28.5 29.9 33.8 39.3 40.9 44.4 48.1 53.5 56.3 57.0 61.7 66.5 66.8 66.2 74.8 71.1 76.5 15.1 10 351.5 68
Indianapolis, IN Large 1.1 1.3 2.2 2.5 3.0 3.9 4.5 4.8 5.0 5.5 4.9 4.8 4.9 5.0 5.1 5.1 5.1 5.1 5.1 5.1 4.7 4.7 5.3 2.4 27 364.0 65
Indio-Cathedral City-Palm Springs, CA Medium 0.4 0.5 0.8 0.8 0.8 0.8 0.8 0.8 0.9 0.9 0.9 0.9 0.9 0.9 0.9 1.2 1.4 1.7 2.0 1.8 1.4 1.3 1.0 -43.0 98 146.4 92
Jackson, MS Small 0.2 0.2 0.3 0.4 0.4 0.4 0.5 0.6 0.6 0.7 0.7 0.8 0.9 1.0 1.2 1.1 1.4 1.5 1.8 1.8 1.6 1.5 1.1 -25.9 80 501.1 53
Jacksonville, FL Large 1.4 2.0 3.5 3.7 4.4 4.6 4.9 5.6 6.0 5.7 5.6 5.6 5.7 5.7 6.6 7.4 8.1 8.3 8.7 9.2 6.7 6.3 5.5 -34.4 92 283.2 79
Kansas City, MO-KS Large 0.8 1.4 3.1 3.1 3.7 5.6 5.9 6.1 7.0 7.7 7.9 9.3 9.0 9.0 9.0 9.5 8.2 8.0 8.5 7.5 6.7 6.3 7.1 -10.8 51 771.6 28
Knoxville, TN Small 0.4 0.4 1.1 1.2 1.3 1.4 1.5 1.7 2.1 2.2 2.2 2.2 2.2 2.2 2.2 2.3 2.2 2.2 2.1 2.3 1.8 1.6 1.6 -26.0 81 321.3 74
Lancaster-Palmdale, CA Medium 0.3 0.4 0.3 0.4 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.6 0.7 0.8 0.8 0.9 1.0 1.0 0.9 1.1 1.1 18.1 8 220.1 83
Laredo, TX Small 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.4 83.5 2 3,050.0 2
Las Vegas, NV Large 0.4 0.6 2.0 2.4 2.7 3.2 3.8 4.3 4.6 4.8 5.2 5.7 6.1 6.4 7.0 7.8 8.6 9.0 9.4 9.6 8.7 8.3 7.4 -17.8 64 1,647.8 7
Little Rock, AR Small 0.1 0.2 0.3 0.3 0.3 0.4 0.5 0.5 0.5 0.6 0.7 0.8 0.8 1.0 0.8 0.9 1.2 1.2 1.4 1.7 1.5 1.8 1.6 31.0 5 1,037.3 16
Los Angeles-Long Beach-Santa Ana, CA Very large 115.9 143.9 290.1 285.3 283.9 268.4 256.8 273.2 283.4 289.9 291.7 301.4 305.0 319.3 327.6 323.8 338.7 336.2 344.2 330.7 252.3 268.1 278.3 -17.2 63 140.2 94
Louisville, KY-IN Large 1.0 1.1 1.3 1.6 2.0 2.4 2.6 2.6 3.0 3.2 3.4 3.6 3.7 3.4 3.8 4.1 4.5 4.3 4.3 4.0 3.8 4.1 4.6 5.5 18 336.9 72
Madison, WI Small 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.6 0.5 6.8 17 136.9 95
McAllen, TX Medium 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0.4 0.5 0.5 0.4 0.5 0.5 14.7 11 3,858.3 1
Memphis, TN-MS-AR Large 0.8 0.9 2.4 2.5 2.7 3.2 3.9 4.4 4.6 4.9 5.1 5.1 5.6 5.9 6.2 6.8 7.0 6.6 6.7 6.0 5.2 5.5 5.0 -24.0 78 556.8 47
Miami, FL Very large 9.1 11.9 25.3 25.0 28.9 28.8 30.7 33.8 35.2 37.5 39.7 46.3 54.8 59.2 63.0 67.5 70.9 72.9 71.9 70.9 57.5 60.9 66.1 -9.3 47 629.0 40
Milwaukee, WI Large 1.4 1.9 3.8 4.0 4.6 4.8 4.5 5.1 5.1 5.3 5.6 6.3 6.6 6.3 6.5 6.5 6.6 6.5 6.0 6.3 6.3 5.9 7.1 9.6 13 423.0 59
Minneapolis-St. Paul, MN Large 2.6 5.0 10.9 11.2 13.6 16.5 19.9 21.9 22.8 28.9 31.4 33.6 35.6 38.8 36.7 37.1 37.2 40.4 38.5 37.9 37.3 32.9 34.7 -14.2 56 1,224.0 14
Nashville-Davidson, TN Large 1.8 1.8 3.0 2.9 2.9 3.0 4.1 4.5 4.6 5.3 5.0 5.6 6.3 6.8 7.8 8.6 8.9 8.9 8.4 8.2 6.7 7.0 7.0 -21.7 73 295.6 78
New Haven, CT Medium 0.5 0.7 1.1 1.1 1.5 1.7 1.7 1.9 1.8 2.2 2.7 3.1 3.3 3.7 3.8 3.8 3.4 3.8 3.7 3.8 3.0 3.2 3.0 -19.3 68 530.4 48
New Orleans, LA Large 3.5 4.8 5.1 5.4 5.1 5.1 5.6 5.7 5.4 5.7 6.0 6.2 5.8 5.6 5.7 5.8 5.8 6.0 6.2 6.0 5.8 6.6 6.2 3.5 23 77.3 100
New York-Newark, NY-NJ-CT Very large 34.7 43.7 86.8 84.0 84.2 90.0 99.3 110.5 117.6 132.3 137.2 154.9 154.5 154.7 164.2 189.0 212.2 229.5 228.7 224.9 181.1 184.8 190.5 -17.0 62 449.2 57
Oklahoma City, OK Medium 0.3 0.4 0.6 0.7 0.8 0.9 0.9 1.3 1.5 1.8 1.8 2.1 2.0 2.3 2.4 2.2 2.2 2.2 2.5 2.9 2.5 2.7 2.8 32.2 3 920.4 19
Omaha, NE-IA Medium 0.3 0.4 0.8 0.8 1.0 1.0 1.1 1.1 1.2 1.2 1.4 1.5 1.6 1.8 2.0 1.9 2.0 2.0 2.3 2.2 2.4 2.0 1.7 -15.2 59 568.1 44
Orlando, FL Large 1.4 2.5 5.8 6.9 7.1 7.2 7.8 8.5 9.4 10.6 11.4 11.9 12.7 14.0 13.7 13.5 13.5 13.8 14.4 14.6 12.1 12.7 11.9 -14.0 55 768.6 29
Oxnard-Ventura, CA Medium 0.2 0.3 0.6 0.6 0.8 0.9 1.2 1.2 1.4 1.3 1.4 1.7 1.7 2.0 2.2 2.4 2.7 2.9 2.9 3.2 2.2 2.4 2.9 -0.3 32 1,649.4 6
Pensacola, FL-AL Small 0.1 0.1 0.3 0.3 0.4 0.4 0.4 0.5 0.6 0.7 0.7 0.7 0.7 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.0 0.9 0.9 -17.9 65 753.8 31
Philadelphia, PA-NJ-DE-MD Very large 12.6 15.4 21.9 22.2 24.4 23.7 25.0 26.3 28.2 31.7 36.3 37.7 38.8 44.8 48.8 51.6 53.4 55.6 55.2 55.4 50.1 53.0 55.5 -0.1 30 339.9 70
Phoenix, AZ Very large 9.6 10.8 14.5 15.1 17.0 17.1 17.8 17.4 20.9 22.4 24.3 28.7 32.1 35.9 33.9 36.5 39.7 48.2 46.7 47.3 44.0 41.9 47.2 -2.1 33 391.8 60
Pittsburgh, PA Large 5.2 5.9 9.7 9.5 9.0 8.9 8.9 10.5 10.5 10.4 10.0 11.1 10.5 11.0 11.3 11.1 11.4 11.0 10.3 10.4 9.3 13.4 11.0 -0.2 31 109.5 97
Portland, OR-WA Large 1.5 1.7 3.4 3.7 4.5 5.0 5.2 5.9 6.8 7.5 7.7 8.5 8.8 9.0 8.8 9.4 10.0 10.6 10.7 10.5 9.9 10.2 10.9 2.9 25 625.8 41
Poughkeepsie-Newburgh, NY Medium 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.6 0.7 0.7 0.8 0.7 0.7 0.8 0.8 15.7 9 384.4 61
Providence, RI-MA Large 0.6 0.7 1.8 1.9 2.1 2.5 2.5 2.7 3.3 3.5 4.5 5.3 5.7 6.3 6.8 7.6 7.9 7.7 7.2 7.7 6.1 5.7 5.3 -30.5 87 786.2 26
Provo, UT Small 0.1 0.1 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.5 0.6 0.7 32.1 4 561.9 45
Raleigh-Durham, NC Large 0.4 0.8 1.9 1.9 1.9 2.3 2.6 2.8 3.0 3.6 3.6 4.0 4.5 4.8 5.5 5.9 6.4 7.0 6.9 7.5 6.7 7.0 6.6 -5.3 35 1,506.3 8
Richmond, VA Medium 0.4 0.5 1.0 1.1 1.3 1.4 1.7 2.1 2.3 2.1 2.0 2.0 1.9 2.1 2.2 2.6 2.9 2.9 3.0 3.0 3.0 3.2 3.1 7.2 16 594.6 42
Riverside-San Bernardino, CA Large 0.8 1.6 7.0 8.2 8.6 8.7 7.6 8.6 9.3 9.2 10.6 11.7 12.8 13.3 14.9 17.8 20.8 23.7 24.6 24.4 21.1 21.0 22.4 -5.4 36 2,613.6 3
Rochester, NY Medium 0.2 0.3 0.5 0.6 0.6 0.6 0.7 0.8 0.8 0.9 0.8 0.9 0.9 0.9 1.0 1.1 1.1 1.2 1.3 1.3 1.2 1.1 1.2 2.5 26 461.2 54
Sacramento, CA Large 1.3 2.0 5.4 5.6 5.4 5.4 6.1 6.0 6.8 6.4 6.9 7.3 8.2 8.9 9.5 10.7 12.0 12.7 13.2 12.6 8.9 9.1 9.4 -26.3 82 634.1 39
Salem, OR Small 0.1 0.1 0.3 0.4 0.5 0.6 0.6 0.6 0.6 0.7 0.7 0.8 0.9 1.1 1.2 1.1 1.0 1.1 1.3 1.3 0.9 0.9 0.8 -28.1 83 679.2 35
Salt Lake City, UT Medium 0.5 0.9 1.6 1.9 2.2 2.6 3.1 3.4 3.4 3.3 3.1 3.4 3.8 4.1 4.4 4.5 4.0 3.7 3.6 3.7 3.7 4.5 4.7 28.5 6 774.4 27
San Antonio, TX Large 0.7 1.3 1.5 1.5 1.8 1.9 2.2 3.0 3.8 4.4 5.0 6.0 7.0 6.9 7.2 7.6 8.5 8.7 8.4 8.8 7.6 8.2 8.9 1.7 28 1,250.0 13
San Diego, CA Very large 3.7 6.4 18.3 17.8 19.4 18.9 18.4 19.1 20.7 21.3 23.0 27.5 30.4 33.8 38.1 38.3 42.7 43.4 42.3 40.7 39.8 36.0 38.1 -12.4 53 926.8 18
San Francisco-Oakland, CA Very large 18.2 34.4 56.4 52.7 53.5 54.7 51.5 56.0 57.8 54.2 58.2 59.2 64.9 63.6 68.0 69.8 72.7 78.0 79.4 76.1 52.8 52.4 53.8 -31.1 89 195.8 87
San Jose, CA Large 5.2 9.0 14.2 14.5 13.5 12.7 13.7 15.0 15.0 14.7 16.0 18.6 20.1 20.8 20.4 20.8 19.4 20.6 22.2 21.4 15.4 14.5 14.7 -28.9 84 181.2 89
San Juan, PR Large 1.9 2.7 6.0 6.4 7.1 7.7 9.1 10.0 10.5 11.1 11.4 12.8 14.3 15.7 17.0 18.9 20.7 19.9 20.0 19.8 18.2 19.5 17.7 -10.7 50 828.8 24
Sarasota-Bradenton, FL Medium 0.7 1.2 1.3 1.4 1.5 1.7 1.7 1.6 2.0 2.1 2.2 2.6 2.6 2.7 2.9 3.1 3.4 3.5 3.8 3.6 2.2 2.7 2.2 -35.7 94 203.5 86
Seattle, WA Very large 6.1 11.8 31.3 34.0 36.2 38.8 39.8 41.4 41.9 45.6 46.4 46.4 44.7 43.7 44.4 48.0 47.8 51.4 50.9 49.5 46.7 45.0 46.4 -9.7 48 658.1 37
Spokane, WA Small 0.2 0.3 0.5 0.7 0.8 1.1 1.1 0.9 0.9 1.1 1.1 1.2 1.2 1.1 1.1 1.1 1.1 1.0 1.0 1.1 1.2 1.3 0.9 -7.1 42 303.1 77
Springfield, MA-CT Medium 0.8 0.9 1.1 1.1 1.3 1.4 1.3 1.4 1.4 1.4 1.6 1.7 1.7 1.6 1.8 1.8 1.8 2.0 2.1 2.0 1.9 2.2 2.0 -2.5 34 157.5 91
St. Louis, MO-IL Large 6.5 8.9 10.9 10.6 12.9 17.6 23.0 27.8 28.4 30.2 30.5 32.3 32.8 30.1 30.4 28.6 27.7 27.6 26.5 24.4 25.3 25.1 23.2 -16.0 61 254.6 81
Stockton, CA Small 0.1 0.1 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4 0.5 0.5 0.5 0.6 0.7 0.7 0.4 0.4 0.4 -37.2 95 525.4 49
Tampa-St. Petersburg, FL Large 6.6 7.9 11.6 13.5 13.8 14.7 15.2 16.1 16.1 15.8 16.4 17.3 18.0 20.4 22.4 23.9 27.1 27.1 29.9 30.4 29.6 29.0 28.5 5.0 19 332.9 73
Toledo, OH-MI Medium 0.1 0.2 0.3 0.3 0.4 0.5 0.7 1.0 1.1 1.2 1.4 1.5 1.6 1.6 1.5 1.5 1.7 1.5 1.5 1.4 1.0 1.0 1.0 -35.3 93 686.0 34
Tucson, AZ Medium 0.8 0.9 1.1 1.1 1.1 1.2 1.1 1.2 1.3 1.7 1.8 1.8 2.0 2.2 2.4 2.7 2.8 3.1 3.1 3.0 3.6 3.6 2.3 -24.9 79 204.2 85
Tulsa, OK Medium 0.3 0.7 0.9 0.9 0.9 0.9 0.9 1.1 1.4 1.4 1.5 1.5 1.7 1.8 1.9 1.9 1.7 1.7 2.0 1.9 1.5 1.7 1.9 7.3 15 450.6 56
Virginia Beach, VA Large 2.3 3.3 4.8 4.7 4.7 4.9 5.9 6.8 8.0 8.5 9.0 9.6 8.5 9.6 10.1 10.2 10.0 10.2 10.3 10.0 8.9 8.0 9.3 -8.9 46 308.8 76
Washington, DC-VA-MD Very large 14.1 28.1 47.0 52.5 62.0 65.0 68.1 70.4 76.0 75.6 74.0 79.4 80.6 88.3 94.7 100.4 101.5 101.8 100.5 105.1 87.9 90.7 95.4 -6.3 38 575.0 43
Wichita, KS Medium 0.6 0.9 1.2 1.2 1.3 1.7 1.8 1.8 1.8 2.2 2.3 2.3 2.3 2.3 2.3 2.3 2.4 2.5 2.9 3.0 1.4 1.5 1.5 -40.7 97 142.9 93
Winston-Salem, NC Small 0.1 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.4 0.5 0.6 0.6 0.8 0.9 0.9 0.9 1.1 1.0 1.0 0.9 1.0 0.8 -21.2 72 762.9 30
Worcester, MA Small 0.5 0.7 0.9 1.0 1.1 1.3 1.5 1.6 1.7 1.8 2.0 2.0 2.2 2.2 2.2 2.1 2.2 2.3 2.3 2.4 2.3 2.1 1.8 -22.6 76 247.7 82
439 Urban area average 439 Areas 1.1 1.5 2.7 2.7 2.7 2.9 3.0 3.3 3.5 3.6 3.9 4.1 4.3 4.5 4.9 4.7 4.9 5.0 5.0 5.0 4.3 4.4 4.4 -11.4 NA 286.3 NA
101 Urban area average 101 Areas 3.9 5.5 9.9 10.1 10.6 11.0 11.4 12.3 13.1 13.9 14.5 15.5 16.1 16.9 17.9 18.7 19.8 20.6 20.7 20.3 17.3 17.7 18.2 -11.8 NA 362.8 NA
Very large urban area average Very large 21.0 29.3 53.6 54.0 56.4 56.9 57.8 62.1 66.3 69.4 72.5 77.0 79.5 83.5 89.2 93.2 98.9 103.2 103.3 100.7 85.1 87.2 90.7 -12.1 NA 332.6 NA
Large urban area average Large 2.0 2.9 5.1 5.4 5.8 6.4 7.2 8.0 8.5 9.2 9.6 10.4 10.9 11.5 12.0 12.6 13.1 13.5 13.6 13.1 11.8 11.9 12.0 -11.5 NA 489.5 NA
Medium urban area average Medium 0.5 0.6 1.0 1.0 1.2 1.3 1.4 1.5 1.6 1.8 1.9 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.8 2.3 2.3 2.2 -17.8 NA 386.0 NA
Small urban area average Small 0.2 0.2 0.4 0.4 0.5 0.5 0.6 0.6 0.7 0.7 0.7 0.8 0.8 0.9 1.0 1.0 1.0 1.1 1.1 1.1 1.0 1.0 0.9 -16.9 NA 381.8 NA

KEY: NA = not applicable; R = revised.

Very large urban areas - over 3 million population.

Large urban areas - over 1 million and less than 3 million population.

Medium urban areas - over 500,000 and less than 1 million population.

Small urban areas - less than 500,000 population.

a Percent changes were calculated using the numbers in this table and were not obtained from the source. Ranks are based on the calculated percent changes with the highest number corresponding to a rank of 1.

NOTES

"Wasted" fuel is the difference between the fuel consumed under estimated existing conditions and the fuel consumed under free-flow conditions. Previous editions of this table were calculated on the basis of total fuel consumed during congested trips. Calculations are made for peak period speeds and for free-flow speeds on both the freeway and principal arterial systems. For a more detailed description of the formulas used, see the source document.

The urban areas included are those containing over 500,000 people and several smaller places mostly chosen by previous sponsors of the Texas Transportation Institute study on mobility.

Methodology and data sources have been changed in 2011 and were applied retroactively to past years; these figures are not comparable to those in the past editions of NTS.

SOURCES

Texas Transportation Institute, Congestion Data for Your City, Excel spreadsheet of the base statistics for the 101 urban areas and population group summary statistics (College Station, TX: 2012), available at http://mobility.tamu.edu as of May 1, 2012.




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