UCR January 2015-March 2015 (FY 2015, Q2)
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A Snapshot of Year-to-Year Congestion Trends in the U.S. for January 2015 through March 2015.
Congested Hours
-33 minutes
Average duration of daily congestion
Travel Time Index
+3 points
Peak period vs. off-peak travel times
Planning Time Index
+13 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 | 3:53 | -0:56 | 1.28 | -2 | 2.37 | -40 | 93% |
Austin, TX | 5:09 | -0:03 | 1.40 | +2 | 3.00 | -3 | 94% |
Baltimore, MD | 6:17 | -0:18 | 1.23 | 0 | 2.35 | +7 | 93% |
Birmingham, AL | 0:32 | -0:12 | 1.03 | 0 | 1.34 | -16 | 95% |
Boston, MA | 7:14 | +0:17 | 1.37 | +5 | 2.92 | +27 | 88% |
Buffalo, NY | 7:34 | -0:32 | 1.20 | -1 | 2.09 | +6 | 76% |
Charlotte, NC | 3:35 | -0:52 | 1.19 | -1 | 2.16 | +6 | 97% |
Chicago, IL | 7:41 | -2:31 | 1.36 | -8 | 2.56 | -22 | 94% |
Cincinnati, OH | 3:46 | -0:35 | 1.16 | -1 | 2.03 | +7 | 95% |
Cleveland, OH | 3:53 | -1:32 | 1.16 | -2 | 2.04 | +3 | 91% |
Columbus, OH | 3:09 | -0:12 | 1.14 | +1 | 2.01 | +22 | 93% |
Dallas-Fort Worth, TX | 7:26 | +1:00 | 1.35 | +2 | 3.08 | +32 | 94% |
Denver, CO | 8:09 | +0:01 | 1.41 | +3 | 3.08 | +6 | 85% |
Detroit, MI | 5:21 | -2:43 | 1.23 | -7 | 2.62 | -9 | 88% |
Hartford, CT | 4:14 | -0:42 | 1.16 | -1 | 2.00 | 0 | 91% |
Houston, TX | 6:02 | -0:12 | 1.45 | +5 | 3.13 | -2 | 94% |
Indianapolis, IN | 2:43 | -3:17 | 1.11 | -6 | 1.56 | -42 | 91% |
Jacksonville, FL | 3:45 | -0:13 | 1.17 | +3 | 2.13 | +27 | 92% |
Kansas City, MO | 3:07 | -0:41 | 1.13 | 0 | 1.88 | +9 | 89% |
Las Vegas, NV | 3:42 | -0:16 | 1.20 | +4 | 2.06 | +15 | 92% |
Los Angeles, CA | 8:46 | -0:13 | 1.66 | +10 | 3.63 | +22 | 94% |
Louisville, KY | 4:20 | +0:30 | 1.16 | +3 | 2.11 | +26 | 93% |
Memphis, TN | 5:30 | -0:52 | 1.17 | +1 | 1.89 | +4 | 92% |
Miami, FL | 5:26 | -0:16 | 1.34 | +2 | 2.78 | +15 | 93% |
Milwaukee, WI | 4:03 | -1:17 | 1.24 | -4 | 2.27 | -3 | 90% |
Minn.-St. Paul, MN | 5:36 | -1:45 | 1.24 | -7 | 2.34 | -9 | 82% |
Nashville, TN | 3:58 | -0:05 | 1.21 | +3 | 2.19 | +28 | 90% |
New Orleans, LA | 4:14 | -0:39 | 1.21 | -2 | 2.66 | +33 | 90% |
New York, NY | 10:02 | -0:16 | 1.36 | +2 | 2.72 | +14 | 84% |
Oklahoma City, OK | 3:06 | +0:10 | 1.13 | +1 | 1.85 | +10 | 95% |
Orlando, FL | 3:44 | -0:03 | 1.19 | +2 | 2.08 | +11 | 96% |
Philadelphia, PA | 5:20 | -1:18 | 1.21 | -3 | 2.18 | -3 | 90% |
Phoenix, AZ | 3:58 | +0:18 | 1.32 | +4 | 2.61 | +27 | 89% |
Pittsburgh, PA | 5:05 | -0:08 | 1.17 | -1 | 2.13 | +11 | 89% |
Portland, OR | 6:49 | -2:07 | 1.43 | 0 | 3.02 | +5 | 85% |
Providence, RI | 6:49 | +0:21 | 1.21 | +1 | 2.17 | +16 | 82% |
Raleigh, NC | 2:48 | -0:13 | 1.12 | +1 | 1.85 | +1 | 92% |
Richmond, VA | 2:47 | -0:27 | 1.08 | -1 | 1.59 | +9 | 87% |
Riverside-San Bern., CA | 5:33 | -0:43 | 1.26 | +4 | 2.05 | +14 | 99% |
Rochester, NY | 5:33 | -0:19 | 1.17 | +1 | 2.02 | +23 | 77% |
Sacramento, CA | 4:06 | -0:25 | 1.23 | +3 | 2.25 | +21 | 96% |
Salt Lake City, UT | 2:41 | -0:03 | 1.13 | +3 | 1.87 | +19 | 94% |
San Antonio, TX | 3:40 | -0:33 | 1.20 | 0 | 2.27 | -3 | 96% |
San Diego, CA | 4:13 | -0:03 | 1.28 | +4 | 2.59 | +26 | 91% |
San Francisco, CA | 7:07 | -0:19 | 1.50 | +6 | 3.31 | +31 | 93% |
San Jose, CA | 5:31 | +0:05 | 1.43 | +7 | 3.29 | +38 | 92% |
San Juan, PR | 3:35 | +0:17 | 1.56 | +4 | 2.89 | +4 | 36% |
Seattle, WA | 7:15 | -0:33 | 1.37 | 0 | 2.70 | +13 | 83% |
St. Louis, MO | 3:20 | -1:41 | 1.14 | -4 | 2.05 | -7 | 95% |
Tampa, FL | 3:07 | -0:24 | 1.24 | -1 | 2.40 | +7 | 93% |
Virginia Beach, VA | 6:36 | -0:16 | 1.23 | +1 | 2.69 | +29 | 85% |
Washington, DC | 7:37 | -0:43 | 1.38 | -1 | 2.96 | +21 | 90% |
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 (January - March).
% 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.