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Table 1-70: Travel Time Index

Friday, January 22, 2016

Excel | CSV

Urban area Population group (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 (R) 2010 (R) 2011 2012 2013 2014 Points change
Short-term 2009-2014 Long-term 1982-2014
Points Ranka Points Ranka
Akron, OH Medium 1.02 1.03 1.07 1.08 1.09 1.10 1.11 1.11 1.11 1.11 1.11 1.11 1.11 1.11 1.11 1.11 1.12 1.12 1.12 1.12 1.12 1.11 1.11 1.11 1.11 1.11 1.12 1 32 10 77
Albany-Schenectady, NY Medium 1.03 1.04 1.06 1.07 1.07 1.07 1.08 1.08 1.09 1.09 1.10 1.11 1.12 1.12 1.13 1.14 1.15 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.17 1 32 14 33
Albuquerque, NM Medium 1.07 1.08 1.09 1.10 1.10 1.12 1.12 1.13 1.14 1.15 1.16 1.17 1.17 1.17 1.18 1.17 1.17 1.17 1.17 1.17 1.17 1.16 1.16 1.16 1.16 1.16 1.16 0 72 9 89
Allentown-Bethlehem, PA-NJ Medium 1.07 1.07 1.07 1.09 1.11 1.12 1.13 1.15 1.17 1.16 1.16 1.17 1.18 1.17 1.17 1.17 1.17 1.17 1.17 1.17 1.16 1.16 1.17 1.17 1.17 1.17 1.17 1 32 10 79
Anchorage, AK Small 1.01 1.04 1.08 1.09 1.10 1.11 1.12 1.12 1.13 1.13 1.14 1.16 1.16 1.17 1.17 1.18 1.18 1.18 1.19 1.19 1.20 1.17 1.17 1.19 1.19 1.19 1.20 3 7 19 12
Atlanta, GA Very large 1.10 1.11 1.15 1.16 1.18 1.20 1.21 1.22 1.22 1.23 1.24 1.24 1.24 1.25 1.25 1.25 1.25 1.26 1.26 1.26 1.25 1.24 1.23 1.23 1.24 1.24 1.24 0 72 14 33
Austin, TX Large 1.10 1.12 1.15 1.15 1.16 1.17 1.18 1.19 1.21 1.23 1.24 1.25 1.26 1.28 1.28 1.29 1.31 1.31 1.33 1.32 1.31 1.29 1.29 1.30 1.31 1.32 1.33 4 3 23 4
Bakersfield, CA Medium 1.01 1.01 1.02 1.02 1.02 1.03 1.03 1.03 1.03 1.03 1.04 1.04 1.04 1.05 1.05 1.06 1.07 1.08 1.08 1.09 1.10 1.08 1.09 1.09 1.10 1.10 1.12 4 3 11 65
Baltimore, MD Large 1.09 1.12 1.17 1.17 1.18 1.18 1.19 1.20 1.20 1.20 1.21 1.23 1.23 1.25 1.25 1.25 1.26 1.26 1.26 1.26 1.25 1.24 1.24 1.25 1.25 1.25 1.26 2 13 17 17
Baton Rouge, LA Medium 1.06 1.08 1.10 1.10 1.11 1.11 1.12 1.12 1.13 1.14 1.14 1.15 1.15 1.15 1.16 1.16 1.16 1.17 1.19 1.20 1.20 1.20 1.21 1.21 1.21 1.22 1.22 2 13 16 19
Beaumont, TX Small 1.03 1.03 1.03 1.04 1.05 1.05 1.06 1.07 1.07 1.08 1.08 1.09 1.10 1.10 1.11 1.12 1.13 1.13 1.14 1.14 1.12 1.13 1.13 1.13 1.13 1.14 1.15 2 13 12 54
Birmingham, AL Medium 1.03 1.04 1.05 1.06 1.06 1.07 1.08 1.09 1.10 1.11 1.12 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.14 1.13 1.13 1.13 1.13 1.14 1.14 1 32 11 66
Boise, ID Small 1.00 1.01 1.04 1.04 1.05 1.05 1.05 1.06 1.07 1.07 1.08 1.10 1.11 1.13 1.13 1.13 1.15 1.15 1.16 1.16 1.15 1.14 1.14 1.13 1.13 1.14 1.16 2 13 16 19
Boston, MA-NH-RI Very large 1.14 1.16 1.20 1.20 1.20 1.21 1.22 1.22 1.23 1.25 1.26 1.26 1.28 1.28 1.29 1.29 1.29 1.29 1.29 1.29 1.28 1.27 1.28 1.28 1.29 1.29 1.29 2 13 15 24
Boulder, CO Small 1.02 1.04 1.08 1.09 1.10 1.11 1.12 1.13 1.13 1.14 1.15 1.16 1.17 1.18 1.19 1.20 1.20 1.20 1.21 1.21 1.22 1.20 1.20 1.20 1.21 1.20 1.20 0 72 18 16
Bridgeport-Stamford, CT-NY Medium 1.12 1.16 1.20 1.21 1.22 1.23 1.25 1.25 1.27 1.29 1.30 1.31 1.32 1.33 1.33 1.35 1.36 1.36 1.36 1.37 1.37 1.34 1.34 1.35 1.35 1.36 1.36 2 13 24 3
Brownsville, TX Small 1.01 1.02 1.03 1.03 1.03 1.03 1.03 1.04 1.04 1.05 1.05 1.06 1.08 1.08 1.09 1.10 1.12 1.13 1.13 1.14 1.15 1.14 1.14 1.14 1.14 1.14 1.14 0 72 13 45
Buffalo, NY Medium 1.04 1.06 1.08 1.08 1.08 1.09 1.09 1.10 1.10 1.11 1.12 1.14 1.14 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.17 1.17 1.17 1 32 13 45
Cape Coral, FL Medium 1.06 1.07 1.10 1.11 1.11 1.12 1.12 1.13 1.13 1.14 1.14 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.20 1.21 1.22 1.20 1.19 1.19 1.18 1.18 1.17 -3 101 11 66
Charleston-North Charleston, SC Medium 1.08 1.10 1.14 1.14 1.15 1.16 1.17 1.18 1.18 1.19 1.19 1.20 1.20 1.20 1.21 1.21 1.22 1.22 1.23 1.23 1.24 1.23 1.23 1.23 1.23 1.22 1.23 0 72 15 27
Charlotte, NC-SC Large 1.08 1.10 1.14 1.15 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.20 1.20 1.21 1.22 1.23 1.23 1.23 1.24 1.25 1.25 1.23 1.23 1.23 1.23 1.23 1.23 0 72 15 27
Chicago, IL-IN Very large 1.16 1.17 1.20 1.21 1.22 1.22 1.23 1.24 1.24 1.25 1.25 1.26 1.27 1.27 1.27 1.27 1.29 1.29 1.30 1.30 1.29 1.28 1.28 1.29 1.29 1.30 1.31 3 7 15 24
Cincinnati, OH-KY-IN Large 1.04 1.06 1.11 1.12 1.12 1.13 1.14 1.15 1.15 1.16 1.16 1.16 1.17 1.17 1.17 1.17 1.17 1.17 1.17 1.17 1.17 1.16 1.16 1.17 1.17 1.18 1.18 2 13 14 33
Cleveland, OH Large 1.03 1.04 1.08 1.09 1.10 1.11 1.13 1.14 1.14 1.14 1.14 1.14 1.14 1.13 1.13 1.13 1.14 1.14 1.13 1.14 1.14 1.13 1.14 1.15 1.15 1.15 1.15 2 13 12 54
Colorado Springs, CO Medium 1.03 1.04 1.09 1.10 1.10 1.11 1.11 1.12 1.13 1.14 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.15 1.15 1.15 1.15 1.16 0 72 13 45
Columbia, SC Medium 1.03 1.05 1.07 1.07 1.08 1.08 1.08 1.08 1.09 1.10 1.09 1.11 1.12 1.12 1.13 1.13 1.14 1.14 1.15 1.16 1.17 1.16 1.15 1.15 1.15 1.15 1.15 -1 96 12 54
Columbus, OH Large 1.07 1.09 1.12 1.13 1.14 1.14 1.15 1.15 1.16 1.16 1.16 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.17 1.17 1.17 1.18 1.18 1.18 1 32 11 66
Corpus Christi, TX Small 1.04 1.05 1.07 1.07 1.07 1.07 1.07 1.07 1.08 1.09 1.09 1.09 1.10 1.10 1.10 1.10 1.10 1.10 1.10 1.10 1.10 1.11 1.11 1.11 1.12 1.12 1.13 2 30 9 89
Dallas-Fort Worth-Arlington, TX Very large 1.18 1.19 1.20 1.21 1.21 1.22 1.22 1.23 1.23 1.23 1.23 1.24 1.24 1.24 1.23 1.24 1.25 1.26 1.27 1.27 1.25 1.24 1.24 1.25 1.26 1.27 1.27 3 7 9 85
Dayton, OH Medium 1.04 1.05 1.08 1.08 1.09 1.09 1.09 1.09 1.10 1.11 1.11 1.11 1.11 1.12 1.12 1.12 1.11 1.11 1.11 1.12 1.12 1.11 1.11 1.11 1.11 1.11 1.12 1 32 8 93
Denver-Aurora, CO Large 1.10 1.13 1.14 1.15 1.15 1.16 1.18 1.19 1.21 1.23 1.24 1.26 1.27 1.28 1.29 1.30 1.31 1.32 1.31 1.31 1.30 1.29 1.29 1.28 1.30 1.30 1.30 1 32 20 8
Detroit, MI Very large 1.15 1.17 1.20 1.21 1.22 1.22 1.22 1.23 1.23 1.24 1.24 1.24 1.24 1.25 1.25 1.25 1.25 1.25 1.25 1.26 1.25 1.22 1.22 1.23 1.24 1.24 1.24 2 13 9 85
El Paso, TX-NM Medium 1.03 1.05 1.09 1.11 1.12 1.12 1.13 1.13 1.14 1.14 1.15 1.16 1.16 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.17 1.17 1.17 1.17 1.16 1.16 -1 96 13 45
Eugene, OR Small 1.04 1.05 1.10 1.11 1.12 1.12 1.12 1.13 1.13 1.14 1.15 1.16 1.16 1.16 1.16 1.16 1.17 1.17 1.17 1.18 1.18 1.16 1.16 1.17 1.17 1.17 1.18 2 13 14 33
Fresno, CA Medium 1.04 1.05 1.07 1.07 1.07 1.07 1.07 1.07 1.08 1.08 1.08 1.09 1.09 1.10 1.10 1.10 1.10 1.10 1.10 1.11 1.10 1.10 1.10 1.10 1.10 1.10 1.11 1 32 7 98
Grand Rapids, MI Medium 1.03 1.05 1.08 1.10 1.11 1.12 1.12 1.12 1.13 1.14 1.15 1.15 1.16 1.15 1.15 1.15 1.15 1.16 1.16 1.17 1.17 1.16 1.16 1.17 1.17 1.17 1.17 1 32 14 33
Greensboro, NC Small 1.02 1.02 1.03 1.04 1.05 1.06 1.06 1.07 1.07 1.07 1.08 1.08 1.08 1.09 1.09 1.09 1.09 1.09 1.09 1.10 1.10 1.09 1.10 1.10 1.10 1.10 1.10 1 32 8 93
Hartford, CT Medium 1.04 1.05 1.09 1.10 1.11 1.11 1.12 1.13 1.13 1.13 1.14 1.14 1.15 1.16 1.16 1.16 1.17 1.18 1.19 1.19 1.20 1.20 1.20 1.19 1.19 1.20 1.20 0 72 16 19
Honolulu, HI Medium 1.15 1.18 1.23 1.23 1.25 1.25 1.26 1.28 1.28 1.30 1.30 1.31 1.32 1.32 1.33 1.33 1.35 1.37 1.38 1.38 1.38 1.36 1.37 1.37 1.36 1.36 1.37 1 32 22 6
Houston, TX Very large 1.23 1.25 1.22 1.22 1.22 1.22 1.22 1.22 1.22 1.23 1.23 1.23 1.23 1.25 1.25 1.27 1.27 1.28 1.29 1.29 1.28 1.28 1.28 1.29 1.31 1.33 1.33 5 2 10 77
Indianapolis, IN Large 1.08 1.09 1.11 1.12 1.12 1.13 1.14 1.14 1.15 1.15 1.16 1.16 1.17 1.17 1.17 1.17 1.17 1.17 1.18 1.18 1.18 1.17 1.18 1.18 1.18 1.18 1.18 1 32 10 79
Indio-Cathedral City-Palm Springs, CA Small 1.05 1.05 1.06 1.06 1.05 1.05 1.05 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.05 1.05 1.07 1.07 1.07 1.05 1.05 1.05 1.05 1.05 1.05 1.05 0 72 0 101
Jackson, MS Small 1.02 1.02 1.03 1.04 1.04 1.05 1.05 1.06 1.06 1.07 1.07 1.08 1.09 1.10 1.11 1.11 1.12 1.12 1.13 1.13 1.13 1.12 1.13 1.13 1.13 1.13 1.13 1 70 11 66
Jacksonville, FL Large 1.07 1.08 1.12 1.12 1.12 1.13 1.14 1.14 1.16 1.16 1.16 1.17 1.17 1.17 1.18 1.19 1.19 1.20 1.20 1.20 1.19 1.18 1.18 1.17 1.17 1.17 1.18 0 72 11 66
Kansas City, MO-KS Large 1.04 1.06 1.10 1.10 1.11 1.11 1.11 1.11 1.12 1.12 1.13 1.13 1.13 1.13 1.14 1.14 1.14 1.14 1.14 1.14 1.15 1.14 1.14 1.15 1.15 1.15 1.15 1 32 11 66
Knoxville, TN Medium 1.05 1.05 1.09 1.09 1.10 1.10 1.11 1.12 1.13 1.13 1.14 1.14 1.14 1.14 1.14 1.14 1.14 1.14 1.14 1.14 1.14 1.13 1.13 1.13 1.14 1.14 1.14 1 32 9 89
Lancaster-Palmdale, CA Small 1.05 1.05 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.07 1.08 1.09 1.09 1.09 1.10 1.09 1.09 1.10 1.10 1.10 1.10 1.10 1.10 0 72 5 100
Laredo, TX Small 1.02 1.02 1.03 1.03 1.04 1.04 1.04 1.06 1.07 1.08 1.08 1.09 1.09 1.09 1.10 1.10 1.11 1.11 1.12 1.15 1.17 1.15 1.15 1.16 1.16 1.16 1.16 1 32 14 33
Las Vegas, NV Large 1.07 1.10 1.17 1.18 1.20 1.21 1.21 1.22 1.23 1.23 1.24 1.24 1.25 1.25 1.26 1.27 1.28 1.29 1.29 1.30 1.30 1.28 1.27 1.26 1.26 1.26 1.26 -2 100 19 12
Little Rock, AR Small 1.02 1.03 1.04 1.04 1.04 1.05 1.06 1.06 1.07 1.07 1.08 1.09 1.10 1.11 1.11 1.12 1.12 1.12 1.12 1.13 1.14 1.14 1.14 1.13 1.13 1.13 1.14 0 72 12 54
Los Angeles-Long Beach-Santa Ana, CA Very large 1.27 1.31 1.34 1.35 1.35 1.35 1.37 1.38 1.39 1.39 1.40 1.40 1.41 1.41 1.41 1.42 1.43 1.44 1.45 1.44 1.45 1.42 1.42 1.42 1.42 1.43 1.43 1 32 16 19
Louisville, KY-IN Large 1.08 1.09 1.12 1.13 1.15 1.15 1.16 1.16 1.17 1.17 1.18 1.19 1.19 1.20 1.20 1.20 1.20 1.20 1.20 1.20 1.21 1.20 1.20 1.20 1.20 1.20 1.20 0 72 12 54
Madison, WI Small 1.07 1.08 1.08 1.08 1.08 1.08 1.09 1.09 1.09 1.10 1.10 1.11 1.11 1.12 1.13 1.13 1.14 1.15 1.16 1.17 1.17 1.17 1.17 1.17 1.17 1.17 1.18 1 32 11 66
McAllen, TX Medium 1.02 1.03 1.05 1.07 1.07 1.08 1.09 1.09 1.09 1.11 1.12 1.14 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.15 1.14 1.14 1.14 1.15 1.15 1.15 1 32 13 45
Memphis, TN-MS-AR Large 1.04 1.05 1.11 1.11 1.12 1.12 1.13 1.14 1.14 1.15 1.16 1.17 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.19 1.18 1.18 1.18 1.18 1.18 1.19 1 32 15 27
Miami, FL Very large 1.14 1.16 1.18 1.18 1.19 1.20 1.21 1.21 1.22 1.24 1.25 1.26 1.27 1.28 1.29 1.29 1.29 1.29 1.29 1.29 1.30 1.27 1.27 1.28 1.28 1.28 1.29 2 13 15 24
Milwaukee, WI Large 1.06 1.08 1.12 1.12 1.13 1.13 1.13 1.14 1.15 1.15 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.16 1.16 1.17 1.16 1.16 1.17 1.17 1.17 1.17 1 32 11 66
Minneapolis-St. Paul, MN Large 1.07 1.10 1.14 1.15 1.16 1.18 1.20 1.21 1.23 1.24 1.25 1.26 1.27 1.27 1.27 1.27 1.28 1.28 1.27 1.27 1.26 1.25 1.25 1.25 1.26 1.26 1.26 1 32 19 12
Nashville-Davidson, TN Large 1.09 1.10 1.12 1.13 1.13 1.14 1.14 1.15 1.16 1.17 1.18 1.19 1.19 1.20 1.21 1.21 1.22 1.22 1.22 1.22 1.21 1.19 1.19 1.20 1.21 1.20 1.21 2 13 12 54
New Haven, CT Medium 1.04 1.06 1.09 1.10 1.10 1.11 1.12 1.13 1.13 1.14 1.15 1.15 1.16 1.16 1.16 1.16 1.17 1.17 1.17 1.17 1.17 1.16 1.16 1.16 1.16 1.16 1.16 0 72 12 54
New Orleans, LA Medium 1.12 1.14 1.16 1.17 1.18 1.18 1.20 1.20 1.21 1.21 1.22 1.22 1.22 1.23 1.23 1.24 1.25 1.23 1.24 1.27 1.30 1.30 1.32 1.32 1.32 1.31 1.32 2 13 20 8
New York-Newark, NY-NJ-CT Very large 1.15 1.16 1.20 1.20 1.21 1.22 1.23 1.24 1.25 1.26 1.27 1.28 1.29 1.29 1.31 1.32 1.32 1.33 1.34 1.34 1.33 1.33 1.33 1.33 1.34 1.34 1.34 1 32 19 10
Oklahoma City, OK Large 1.05 1.06 1.08 1.08 1.09 1.10 1.10 1.11 1.12 1.13 1.14 1.15 1.16 1.17 1.17 1.17 1.18 1.18 1.18 1.18 1.19 1.18 1.18 1.18 1.18 1.19 1.19 1 32 14 33
Omaha, NE-IA Medium 1.04 1.05 1.08 1.08 1.09 1.10 1.10 1.10 1.11 1.11 1.12 1.13 1.13 1.14 1.14 1.14 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.16 1.16 1.16 1.16 0 72 12 54
Orlando, FL Large 1.07 1.09 1.14 1.14 1.15 1.15 1.16 1.16 1.17 1.17 1.18 1.19 1.20 1.21 1.22 1.22 1.23 1.23 1.23 1.23 1.23 1.21 1.21 1.21 1.21 1.21 1.21 0 72 14 33
Oxnard-Ventura, CA Small 1.02 1.03 1.05 1.05 1.06 1.06 1.08 1.08 1.09 1.09 1.10 1.11 1.11 1.12 1.13 1.13 1.14 1.15 1.16 1.15 1.13 1.13 1.13 1.13 1.13 1.13 1.14 1 32 12 54
Pensacola, FL-AL Small 1.04 1.06 1.08 1.08 1.09 1.10 1.11 1.11 1.13 1.14 1.14 1.15 1.15 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.18 1.17 1.17 1.17 1.17 1.17 1.17 0 72 13 45
Philadelphia, PA-NJ-DE-MD Very large 1.10 1.12 1.15 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.20 1.20 1.21 1.22 1.23 1.24 1.25 1.25 1.25 1.25 1.24 1.24 1.24 1.24 1.24 1.24 1.24 0 72 14 33
Phoenix, AZ Very large 1.18 1.20 1.21 1.21 1.21 1.22 1.22 1.22 1.23 1.23 1.24 1.25 1.25 1.26 1.27 1.27 1.28 1.28 1.29 1.30 1.29 1.26 1.26 1.26 1.26 1.26 1.27 1 32 9 85
Pittsburgh, PA Large 1.05 1.08 1.13 1.13 1.14 1.14 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.17 1.17 1.17 1.17 1.18 1.18 1.18 1.18 1.17 1.18 1.18 1.18 1.19 1.19 2 13 14 33
Portland, OR-WA Large 1.13 1.16 1.19 1.20 1.21 1.22 1.23 1.25 1.26 1.27 1.28 1.29 1.30 1.31 1.31 1.31 1.32 1.32 1.32 1.31 1.31 1.31 1.32 1.34 1.35 1.35 1.35 4 3 22 6
Poughkeepsie-Newburgh, NY Small 1.04 1.05 1.07 1.07 1.07 1.07 1.07 1.07 1.08 1.08 1.08 1.09 1.09 1.09 1.10 1.10 1.11 1.11 1.12 1.12 1.12 1.11 1.12 1.12 1.12 1.12 1.12 1 32 8 93
Providence, RI-MA Large 1.03 1.04 1.08 1.09 1.10 1.11 1.11 1.12 1.13 1.13 1.15 1.16 1.16 1.17 1.18 1.18 1.18 1.19 1.19 1.19 1.19 1.19 1.19 1.19 1.19 1.20 1.20 1 32 17 17
Provo, UT Medium 1.04 1.05 1.07 1.08 1.08 1.07 1.08 1.08 1.08 1.09 1.09 1.10 1.10 1.11 1.11 1.11 1.12 1.12 1.12 1.12 1.12 1.11 1.11 1.11 1.11 1.12 1.12 1 32 8 93
Raleigh-Durham, NC Medium 1.03 1.06 1.10 1.10 1.10 1.10 1.11 1.12 1.12 1.13 1.13 1.13 1.14 1.15 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.16 1.17 1 32 14 33
Richmond, VA Large 1.03 1.04 1.06 1.07 1.07 1.07 1.08 1.09 1.09 1.08 1.09 1.09 1.09 1.09 1.09 1.10 1.11 1.11 1.12 1.12 1.13 1.12 1.12 1.12 1.12 1.13 1.13 1 70 10 79
Riverside-San Bernardino, CA Large 1.10 1.13 1.17 1.18 1.18 1.19 1.20 1.21 1.21 1.22 1.23 1.24 1.26 1.26 1.27 1.29 1.30 1.32 1.33 1.32 1.32 1.30 1.31 1.31 1.31 1.32 1.33 3 7 23 4
Rochester, NY Medium 1.05 1.07 1.10 1.10 1.11 1.10 1.11 1.12 1.13 1.13 1.13 1.13 1.13 1.14 1.14 1.15 1.16 1.17 1.17 1.18 1.16 1.16 1.16 1.16 1.16 1.16 1.16 0 72 11 66
Sacramento, CA Large 1.08 1.10 1.14 1.14 1.15 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.20 1.21 1.21 1.22 1.23 1.23 1.24 1.24 1.23 1.22 1.22 1.22 1.23 1.23 1.23 1 32 15 27
Salem, OR Small 1.03 1.04 1.10 1.10 1.11 1.11 1.12 1.12 1.12 1.12 1.13 1.14 1.15 1.16 1.17 1.18 1.18 1.19 1.19 1.19 1.19 1.17 1.17 1.16 1.16 1.16 1.16 -1 96 13 45
Salt Lake City, UT Large 1.05 1.06 1.07 1.08 1.08 1.08 1.09 1.10 1.11 1.11 1.12 1.12 1.14 1.15 1.16 1.17 1.17 1.17 1.17 1.18 1.17 1.17 1.17 1.17 1.18 1.18 1.18 1 32 13 45
San Antonio, TX Large 1.10 1.11 1.12 1.13 1.15 1.16 1.17 1.19 1.19 1.20 1.21 1.22 1.22 1.23 1.24 1.23 1.24 1.24 1.24 1.24 1.23 1.22 1.23 1.23 1.24 1.24 1.25 3 7 15 27
San Diego, CA Very large 1.08 1.10 1.14 1.14 1.14 1.15 1.16 1.16 1.17 1.18 1.18 1.20 1.20 1.21 1.22 1.22 1.23 1.23 1.23 1.23 1.23 1.22 1.22 1.22 1.23 1.23 1.24 2 13 16 19
San Francisco-Oakland, CA Very large 1.26 1.30 1.32 1.32 1.33 1.34 1.35 1.36 1.37 1.37 1.37 1.38 1.38 1.38 1.38 1.38 1.39 1.40 1.41 1.41 1.40 1.38 1.38 1.38 1.40 1.40 1.41 3 7 15 27
San Jose, CA Large 1.11 1.15 1.21 1.22 1.22 1.22 1.23 1.23 1.23 1.24 1.25 1.26 1.28 1.30 1.30 1.31 1.31 1.32 1.33 1.34 1.34 1.32 1.34 1.37 1.37 1.37 1.38 6 1 27 1
San Juan, PR Large 1.05 1.08 1.12 1.12 1.13 1.14 1.16 1.17 1.17 1.17 1.17 1.19 1.21 1.23 1.24 1.26 1.28 1.28 1.28 1.27 1.26 1.27 1.28 1.28 1.29 1.30 1.31 4 3 26 2
Sarasota-Bradenton, FL Medium 1.09 1.10 1.11 1.12 1.12 1.13 1.13 1.13 1.14 1.14 1.15 1.16 1.16 1.16 1.15 1.16 1.15 1.16 1.16 1.16 1.16 1.15 1.15 1.16 1.16 1.16 1.16 1 32 7 99
Seattle, WA Very large 1.19 1.22 1.26 1.27 1.28 1.28 1.29 1.29 1.30 1.31 1.32 1.33 1.33 1.34 1.35 1.36 1.37 1.37 1.37 1.37 1.37 1.36 1.36 1.37 1.37 1.38 1.38 2 30 19 12
Spokane, WA Small 1.06 1.07 1.10 1.11 1.12 1.12 1.13 1.13 1.13 1.14 1.15 1.15 1.16 1.16 1.17 1.17 1.17 1.17 1.18 1.18 1.18 1.17 1.17 1.17 1.17 1.17 1.17 0 72 11 66
Springfield, MA-CT Medium 1.05 1.06 1.08 1.09 1.09 1.09 1.10 1.10 1.11 1.11 1.11 1.12 1.12 1.12 1.12 1.12 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.13 1.14 1 32 9 89
St. Louis, MO-IL Large 1.06 1.07 1.09 1.09 1.10 1.11 1.12 1.13 1.13 1.14 1.14 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.16 1.17 1.17 1.16 1.16 1.16 1.16 1.16 1.16 0 72 10 79
Stockton, CA Small 1.04 1.05 1.07 1.08 1.08 1.08 1.08 1.09 1.09 1.09 1.09 1.09 1.10 1.10 1.11 1.11 1.12 1.14 1.14 1.15 1.13 1.13 1.13 1.13 1.13 1.13 1.14 1 32 10 79
Tampa-St. Petersburg, FL Large 1.11 1.12 1.15 1.16 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.19 1.20 1.21 1.21 1.22 1.22 1.23 1.23 1.23 1.21 1.21 1.21 1.21 1.21 1.21 0 72 10 79
Toledo, OH-MI Medium 1.06 1.07 1.10 1.10 1.11 1.11 1.12 1.13 1.13 1.14 1.14 1.14 1.14 1.15 1.15 1.15 1.15 1.15 1.16 1.16 1.17 1.16 1.16 1.17 1.17 1.18 1.18 2 13 12 54
Tucson, AZ Medium 1.08 1.10 1.14 1.14 1.15 1.15 1.15 1.16 1.16 1.17 1.18 1.19 1.20 1.20 1.20 1.20 1.20 1.21 1.22 1.23 1.24 1.21 1.22 1.21 1.21 1.21 1.22 1 32 14 33
Tulsa, OK Medium 1.05 1.06 1.08 1.09 1.10 1.11 1.11 1.11 1.12 1.12 1.13 1.13 1.13 1.13 1.14 1.15 1.15 1.16 1.17 1.17 1.17 1.16 1.16 1.16 1.16 1.17 1.17 1 32 12 54
Virginia Beach, VA Large 1.06 1.08 1.10 1.11 1.11 1.12 1.13 1.14 1.15 1.15 1.16 1.16 1.17 1.17 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.19 1.19 1 32 13 45
Washington, DC-VA-MD Very large 1.15 1.19 1.22 1.23 1.25 1.25 1.27 1.27 1.27 1.28 1.28 1.28 1.29 1.30 1.31 1.32 1.33 1.34 1.34 1.35 1.36 1.35 1.35 1.35 1.34 1.34 1.34 -1 96 19 10
Wichita, KS Medium 1.06 1.08 1.11 1.12 1.12 1.12 1.13 1.13 1.13 1.14 1.13 1.14 1.14 1.14 1.15 1.15 1.16 1.16 1.18 1.18 1.18 1.15 1.16 1.16 1.17 1.17 1.17 2 13 11 66
Winston-Salem, NC Small 1.03 1.05 1.05 1.05 1.05 1.05 1.06 1.06 1.07 1.08 1.09 1.09 1.10 1.10 1.10 1.10 1.11 1.12 1.12 1.12 1.12 1.11 1.11 1.11 1.11 1.11 1.11 0 72 8 93
Worcester, MA Small 1.03 1.04 1.07 1.07 1.07 1.08 1.08 1.09 1.09 1.10 1.10 1.10 1.11 1.11 1.11 1.12 1.12 1.12 1.13 1.13 1.13 1.12 1.12 1.12 1.12 1.12 1.12 0 72 9 85
471 Urban area averageb 471 Areas 1.09 1.11 1.13 1.14 1.14 1.15 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.19 1.20 1.20 1.21 1.21 1.21 1.21 1.21 1.20 1.20 1.21 1.21 1.21 1.22 2 NA 13 NA
101 Urban area averageb 101 Areas 1.12 1.14 1.17 1.18 1.18 1.19 1.20 1.20 1.21 1.22 1.22 1.23 1.23 1.24 1.24 1.25 1.25 1.26 1.26 1.26 1.26 1.25 1.25 1.25 1.26 1.26 1.26 1 NA 14 NA
Very large area averageb Very large 1.17 1.20 1.22 1.23 1.24 1.24 1.25 1.26 1.26 1.27 1.28 1.28 1.29 1.29 1.30 1.30 1.31 1.32 1.32 1.32 1.32 1.30 1.30 1.31 1.31 1.32 1.32 2 NA 15 NA
Large area averageb Large 1.07 1.09 1.13 1.13 1.14 1.15 1.16 1.17 1.17 1.18 1.18 1.19 1.20 1.21 1.21 1.22 1.22 1.23 1.23 1.23 1.23 1.22 1.22 1.22 1.23 1.23 1.23 1 NA 16 NA
Medium area averageb Medium 1.06 1.07 1.10 1.11 1.11 1.12 1.13 1.13 1.14 1.14 1.15 1.15 1.16 1.16 1.16 1.17 1.17 1.17 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.18 1.18 0 NA 12 NA
Small area averageb Small 1.03 1.04 1.06 1.07 1.07 1.07 1.08 1.08 1.09 1.09 1.09 1.10 1.11 1.11 1.12 1.12 1.13 1.13 1.14 1.14 1.14 1.13 1.13 1.13 1.13 1.13 1.14 1 NA 11 NA

KEY: NA = not applicable; R = revised.

Very large urban areas – 3 million and over population.

Large urban areas – 1 million to less than 3 million population.

Medium urban areas – 500,000 to less than 1 million population.

Small urban areas – less than 500,000 population.

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1.

b Averages weighted by Vehicle Miles Traveled.

NOTES

The Travel Time Index is the ratio of travel time in the peak period to the travel time at free-flow conditions. A value of 1.35 indicates a 20 minute free-flow trip takes 27 minutes in the peak. Free-flow speeds (60 mph on freeways and 35 mph on principal arterials) are used as comparison threshold.

Methodology and data sources have been changed in 2015 and were applied retroactively to past years; these figures are not comparable to those in past editions of NTS. Population group is based on 2014 population.

SOURCE

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: 2015), available at http://mobility.tamu.edu as of Nov. 19, 2015.