UCR July 2015-September 2015 (FY 2015, Q4)
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A Snapshot of Year-to-Year Congestion Trends in the U.S. for July 2015 through September 2015.
Congested Hours
-23 minutes
Average duration of daily congestion
Travel Time Index
0 points
Peak period vs. off-peak travel times
Planning Time Index
-9 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 | 3:51 | +0:02 | 1.28 | +1 | 2.35 | 0 | 95% |
Austin, TX | 4:50 | -0:27 | 1.37 | 0 | 2.68 | -36 | 96% |
Baltimore, MD | 5:13 | -0:26 | 1.21 | -1 | 2.23 | -15 | 94% |
Birmingham, AL | 0:35 | 0:00 | 1.04 | -1 | 1.35 | -36 | 95% |
Boston, MA | 6:12 | -0:12 | 1.35 | -2 | 2.85 | -8 | 91% |
Buffalo, NY | 6:02 | +0:50 | 1.16 | +1 | 2.01 | -3 | 82% |
Charlotte, NC | 3:10 | -0:22 | 1.18 | 0 | 2.09 | -5 | 98% |
Chicago, IL | 7:23 | -0:42 | 1.36 | -4 | 2.41 | -15 | 95% |
Cincinnati, OH | 3:03 | -0:32 | 1.18 | +1 | 2.04 | +8 | 97% |
Cleveland, OH | 2:30 | -0:19 | 1.13 | -1 | 1.94 | -10 | 94% |
Columbus, OH | 2:39 | -0:27 | 1.14 | -1 | 1.99 | -4 | 94% |
Dallas-Fort Worth, TX | 5:18 | -0:48 | 1.30 | -1 | 2.78 | -14 | 96% |
Denver, CO | 6:57 | -1:11 | 1.35 | -5 | 2.83 | -31 | 89% |
Detroit, MI | 3:31 | -1:01 | 1.18 | -17 | 2.38 | -71 | 92% |
Hartford, CT | 2:36 | -0:04 | 1.13 | +1 | 1.85 | -4 | 93% |
Houston, TX | 5:37 | -0:13 | 1.37 | -1 | 2.94 | -14 | 96% |
Indianapolis, IN | 3:12 | +0:35 | 1.12 | 0 | 1.66 | +3 | 94% |
Jacksonville, FL | 3:33 | -0:22 | 1.15 | +1 | 2.07 | 0 | 94% |
Kansas City, MO | 3:15 | +0:08 | 1.12 | -2 | 1.92 | -4 | 92% |
Las Vegas, NV | 3:07 | -0:45 | 1.15 | +1 | 1.89 | -18 | 93% |
Los Angeles, CA | 8:42 | -0:21 | 1.60 | +1 | 3.47 | -10 | 95% |
Louisville, KY | 3:02 | -0:37 | 1.15 | -1 | 2.10 | +3 | 94% |
Memphis, TN | 3:45 | -0:25 | 1.18 | +2 | 1.96 | 0 | 94% |
Miami, FL | 5:01 | -0:26 | 1.28 | +1 | 2.61 | -15 | 93% |
Milwaukee, WI | 3:26 | -0:23 | 1.19 | -6 | 2.12 | -12 | 92% |
Minn.-St. Paul, MN | 5:39 | +0:14 | 1.30 | +2 | 2.55 | +8 | 86% |
Nashville, TN | 2:57 | -0:34 | 1.18 | -1 | 1.99 | -1 | 92% |
New Orleans, LA | 4:09 | -0:01 | 1.18 | +1 | 2.44 | -8 | 92% |
New York, NY | 8:36 | -0:34 | 1.30 | -1 | 2.62 | -2 | 87% |
Oklahoma City, OK | 2:05 | -0:17 | 1.10 | -2 | 1.74 | +2 | 96% |
Orlando, FL | 3:42 | -0:03 | 1.15 | 0 | 2.04 | -14 | 96% |
Philadelphia, PA | 4:29 | -0:41 | 1.17 | -5 | 2.06 | -19 | 92% |
Phoenix, AZ | 3:06 | -0:24 | 1.21 | -4 | 2.32 | -13 | 92% |
Pittsburgh, PA | 4:20 | -0:18 | 1.14 | -2 | 2.10 | -14 | 91% |
Portland, OR | 7:48 | -0:07 | 1.47 | -3 | 3.15 | -14 | 88% |
Providence, RI | 4:37 | -0:21 | 1.15 | -1 | 2.08 | +13 | 87% |
Raleigh, NC | 1:55 | -1:30 | 1.11 | -1 | 1.80 | -8 | 97% |
Richmond, VA | 2:01 | -0:24 | 1.06 | -1 | 1.53 | -7 | 91% |
Riverside-San Bern., CA | 4:54 | -0:47 | 1.23 | +1 | 2.04 | +5 | 99% |
Rochester, NY | 2:33 | -0:27 | 1.09 | 0 | 1.64 | -4 | 81% |
Sacramento, CA | 4:00 | -0:16 | 1.23 | +2 | 2.16 | -9 | 97% |
Salt Lake City, UT | 3:11 | +0:06 | 1.15 | +2 | 1.88 | -11 | 96% |
San Antonio, TX | 3:11 | -0:43 | 1.18 | -1 | 2.06 | -10 | 97% |
San Diego, CA | 4:03 | -0:33 | 1.26 | 0 | 2.53 | -6 | 92% |
San Francisco, CA | 7:12 | -0:08 | 1.48 | +2 | 3.26 | -3 | 94% |
San Jose, CA | 5:20 | -0:17 | 1.45 | +6 | 3.24 | -4 | 94% |
San Juan, PR | 2:59 | -0:14 | 1.44 | -6 | 2.57 | -11 | 41% |
Seattle, WA | 7:26 | -0:46 | 1.39 | -2 | 2.80 | -13 | 86% |
St. Louis, MO | 3:12 | -0:16 | 1.14 | -1 | 2.14 | -2 | 96% |
Tampa, FL | 2:43 | -0:29 | 1.18 | -1 | 2.14 | -28 | 94% |
Virginia Beach, VA | 5:31 | -0:55 | 1.20 | -4 | 2.43 | -25 | 90% |
Washington, DC | 6:48 | -0:56 | 1.37 | -3 | 2.84 | -21 | 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 (July - September).
% 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.