UCR April 2015-June 2015 (FY 2015, Q3)
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A Snapshot of Year-to-Year Congestion Trends in the U.S. for April 2015 through June 2015.
Congested Hours
-30 minutes
Average duration of daily congestion
Travel Time Index
+1 points
Peak period vs. off-peak travel times
Planning Time Index
-3 points
Unreliability (variability) of travel
Performance measures have been updated using the most recently available (2013) national volumes.
City (MSA) | Congested Hours * | Travel Time Index * | Planning Time Index * | % Complete Data | |||
---|---|---|---|---|---|---|---|
2015 | Change from 2014 | 2015 | Change from 2014 | 2015 | Change from 2014 | ||
Atlanta, GA | 4:07 | +0:05 | 1.30 | +1 | 2.37 | +11 | 94% |
Austin, TX | 5:14 | -0:02 | 1.41 | +1 | 2.90 | -1 | 95% |
Baltimore, MD | 5:43 | -0:46 | 1.26 | -1 | 2.41 | -10 | 94% |
Birmingham, AL | 0:37 | -0:09 | 1.03 | -3 | 1.35 | -31 | 95% |
Boston, MA | 6:10 | -0:15 | 1.42 | +1 | 2.94 | -2 | 89% |
Buffalo, NY | 5:30 | -0:20 | 1.15 | 0 | 1.92 | -1 | 79% |
Charlotte, NC | 3:25 | -0:25 | 1.21 | 0 | 2.21 | +6 | 98% |
Chicago, IL | 7:31 | -0:59 | 1.42 | -1 | 2.56 | 0 | 95% |
Cincinnati, OH | 3:39 | -0:16 | 1.19 | +2 | 1.98 | +3 | 95% |
Cleveland, OH | 2:41 | -0:41 | 1.14 | -2 | 1.94 | -5 | 93% |
Columbus, OH | 2:37 | -0:41 | 1.14 | 0 | 1.88 | +2 | 93% |
Dallas-Fort Worth, TX | 6:05 | -0:23 | 1.34 | -1 | 2.90 | -7 | 95% |
Denver, CO | 7:21 | -0:37 | 1.37 | -3 | 2.90 | -10 | 87% |
Detroit, MI | 3:52 | -1:07 | 1.21 | -18 | 2.43 | -51 | 89% |
Hartford, CT | 2:49 | -0:35 | 1.15 | 0 | 1.97 | +5 | 93% |
Houston, TX | 5:57 | -0:10 | 1.40 | -2 | 3.08 | -6 | 95% |
Indianapolis, IN | 2:29 | -0:35 | 1.11 | -2 | 1.56 | -9 | 92% |
Jacksonville, FL | 3:31 | -0:30 | 1.15 | 0 | 2.05 | +6 | 93% |
Kansas City, MO | 3:18 | -0:01 | 1.13 | 0 | 1.91 | +2 | 91% |
Las Vegas, NV | 3:31 | -0:28 | 1.17 | +3 | 1.97 | +4 | 93% |
Los Angeles, CA | 8:33 | -0:42 | 1.59 | +3 | 3.43 | -12 | 95% |
Louisville, KY | 2:57 | -0:39 | 1.16 | +2 | 2.11 | +25 | 94% |
Memphis, TN | 3:50 | -1:34 | 1.19 | +2 | 1.95 | +2 | 93% |
Miami, FL | 5:03 | -0:15 | 1.30 | +3 | 2.62 | -3 | 93% |
Milwaukee, WI | 3:29 | -0:32 | 1.21 | -2 | 2.06 | -1 | 91% |
Minn.-St. Paul, MN | 5:51 | +0:04 | 1.34 | +3 | 2.64 | +19 | 85% |
Nashville, TN | 3:05 | -1:04 | 1.19 | -1 | 1.97 | -3 | 91% |
New Orleans, LA | 4:26 | -0:07 | 1.18 | -1 | 2.48 | -1 | 91% |
New York, NY | 9:11 | -0:26 | 1.37 | 0 | 2.73 | +1 | 86% |
Oklahoma City, OK | 2:34 | -0:04 | 1.13 | +1 | 1.84 | +9 | 96% |
Orlando, FL | 3:29 | -0:10 | 1.16 | +1 | 1.93 | -9 | 96% |
Philadelphia, PA | 4:57 | -1:02 | 1.23 | -3 | 2.22 | -12 | 91% |
Phoenix, AZ | 3:16 | -0:01 | 1.22 | 0 | 2.25 | +3 | 90% |
Pittsburgh, PA | 4:28 | -0:33 | 1.16 | -2 | 2.10 | -13 | 90% |
Portland, OR | 7:32 | -0:23 | 1.50 | +3 | 3.20 | +11 | 86% |
Providence, RI | 4:53 | -0:19 | 1.17 | 0 | 2.00 | +1 | 85% |
Raleigh, NC | 2:09 | -1:16 | 1.12 | -1 | 1.83 | -1 | 93% |
Richmond, VA | 2:04 | -0:39 | 1.07 | -1 | 1.53 | 0 | 89% |
Riverside-San Bern., CA | 5:12 | -1:29 | 1.24 | +1 | 1.99 | +1 | 99% |
Rochester, NY | 2:39 | -0:47 | 1.08 | -2 | 1.64 | -2 | 80% |
Sacramento, CA | 4:03 | -0:23 | 1.24 | +6 | 2.22 | +5 | 97% |
Salt Lake City, UT | 3:02 | -0:07 | 1.15 | +2 | 1.91 | -1 | 95% |
San Antonio, TX | 3:26 | -0:38 | 1.18 | -1 | 2.15 | -2 | 97% |
San Diego, CA | 4:02 | -0:34 | 1.24 | 0 | 2.47 | +3 | 92% |
San Francisco, CA | 7:03 | -0:35 | 1.49 | +2 | 3.21 | -9 | 94% |
San Jose, CA | 5:18 | -0:26 | 1.42 | +3 | 3.21 | -1 | 93% |
San Juan, PR | 3:12 | +0:19 | 1.46 | +2 | 2.57 | +2 | 39% |
Seattle, WA | 7:27 | -0:19 | 1.41 | +1 | 2.79 | -1 | 85% |
St. Louis, MO | 3:28 | -0:31 | 1.16 | 0 | 2.15 | +4 | 95% |
Tampa, FL | 2:47 | -0:29 | 1.22 | +2 | 2.30 | -5 | 94% |
Virginia Beach, VA | 5:58 | -0:26 | 1.24 | -1 | 2.62 | +4 | 88% |
Washington, DC | 7:42 | -0:48 | 1.49 | -1 | 3.16 | -9 | 92% |
Notes:
Blue bolded values (with – sign) indicate improving conditions; red italics (with + sign) indicate worsening conditions.
Comparison of 2015 to 2014 is for the same three-month period (April - June).
% Complete Data compares the reported congestion data for that MSA to what should have been available for the designated roads and time periods.
*Performance measures have been updated using the most recently available (2013) national volumes.
For More Information
Please contact Rich Taylor at rich.taylor@dot.gov.