UCR January 2019-March 2019 (FY 2019, Q2)
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A Snapshot of Year-to-Year Congestion Trends in the U.S. for January 2019 through March 2019.
Congested Hours
-38 minutes
Average duration of daily congestion
Travel Time Index
-2 points
Peak period vs. off-peak travel times
Planning Time Index
-7 points
Unreliability (variability) of travel
| City (MSA) | Congested Hours | Travel Time Index | Planning Time Index | % Complete Data | |||
|---|---|---|---|---|---|---|---|
| 2019 | Change from 2018 | 2019 | Change from 2018 | 2019 | Change from 2018 | ||
| Atlanta, GA | 4:07 | -0:43 | 1.32 | -6 | 2.09 | -16 | 96% |
| Austin, TX | 3:50 | -0:53 | 1.36 | -5 | 2.14 | -23 | 89% |
| Baltimore, MD | 5:07 | -1:24 | 1.27 | +3 | 1.96 | +2 | 94% |
| Birmingham, AL | 2:07 | -0:02 | 1.12 | +1 | 1.59 | -1 | 97% |
| Boston, MA | 3:33 | -2:09 | 1.26 | 0 | 1.91 | -7 | 94% |
| Buffalo, NY | 4:43 | -0:28 | 1.14 | -1 | 1.71 | +1 | 87% |
| Charlotte, NC | 2:45 | -0:13 | 1.21 | +1 | 1.81 | -2 | 99% |
| Chicago, IL | 4:20 | -0:42 | 1.29 | -4 | 2.02 | -16 | 97% |
| Cincinnati, OH | 2:38 | -0:11 | 1.15 | -1 | 1.69 | -6 | 98% |
| Cleveland, OH | 1:33 | -1:22 | 1.08 | -4 | 1.46 | -14 | 96% |
| Columbus, OH | 2:09 | -1:00 | 1.12 | -4 | 1.60 | -19 | 94% |
| Dallas-Fort Worth, TX | 3:44 | -0:50 | 1.28 | -2 | 2.09 | -6 | 94% |
| Denver, CO | 6:14 | +0:29 | 1.33 | -1 | 2.30 | +4 | 95% |
| Detroit, MI | 3:00 | -2:41 | 1.14 | -8 | 1.74 | -30 | 95% |
| Hartford, CT | 2:15 | -1:03 | 1.10 | -3 | 1.53 | -14 | 94% |
| Houston, TX | 4:21 | -1:40 | 1.31 | -7 | 2.11 | -30 | 90% |
| Indianapolis, IN | 2:02 | -0:11 | 1.10 | -3 | 1.52 | -4 | 94% |
| Jacksonville, FL | 2:51 | -0:15 | 1.17 | 0 | 1.75 | +1 | 96% |
| Kansas City, MO | 2:33 | -0:03 | 1.11 | 0 | 1.55 | +3 | 84% |
| Las Vegas, NV | 3:20 | -0:26 | 1.20 | -5 | 1.72 | -18 | 98% |
| Los Angeles, CA | 7:59 | -0:56 | 1.67 | -2 | 2.78 | -2 | 97% |
| Louisville, KY | 1:48 | -0:33 | 1.09 | -2 | 1.48 | -8 | 93% |
| Memphis, TN | 2:34 | -1:29 | 1.12 | -5 | 1.55 | -11 | 97% |
| Miami, FL | 5:19 | -1:04 | 1.39 | -2 | 2.25 | -8 | 97% |
| Milwaukee, WI | 3:21 | +0:21 | 1.17 | -2 | 1.75 | +2 | 96% |
| Minn.-St. Paul, MN | 5:56 | -0:03 | 1.27 | +5 | 2.17 | +26 | 94% |
| Nashville, TN | 2:51 | 0:00 | 1.21 | -1 | 1.89 | -4 | 95% |
| New Orleans, LA | 3:43 | -0:11 | 1.23 | +1 | 1.92 | 0 | 95% |
| New York, NY | 5:18 | -1:46 | 1.28 | -4 | 1.97 | -21 | 92% |
| Oklahoma City, OK | 2:19 | -0:09 | 1.11 | +1 | 1.55 | +1 | 95% |
| Orlando, FL | 3:52 | -0:15 | 1.24 | +1 | 1.88 | +4 | 95% |
| Philadelphia, PA | 3:52 | -1:30 | 1.21 | -3 | 1.79 | -11 | 95% |
| Phoenix, AZ | 2:59 | -0:05 | 1.30 | -1 | 1.89 | -3 | 98% |
| Pittsburgh, PA | 3:07 | -0:42 | 1.13 | -2 | 1.60 | 0 | 93% |
| Portland, OR | 5:38 | -0:25 | 1.36 | -2 | 2.24 | -9 | 97% |
| Providence, RI | 3:15 | -2:02 | 1.12 | -2 | 1.58 | -9 | 93% |
| Raleigh, NC | 1:56 | -0:18 | 1.15 | 0 | 1.71 | -7 | 97% |
| Richmond, VA | 1:39 | -0:23 | 1.07 | -1 | 1.35 | -9 | 96% |
| Riverside-San Bern., CA | 4:38 | +0:11 | 1.29 | +2 | 1.92 | +9 | 99% |
| Rochester, NY | 3:27 | -0:19 | 1.09 | -1 | 1.51 | -2 | 91% |
| Sacramento, CA | 4:04 | -0:33 | 1.26 | -1 | 1.98 | -5 | 97% |
| Salt Lake City, UT | 2:42 | +0:02 | 1.12 | -3 | 1.80 | +1 | 98% |
| San Antonio, TX | 3:17 | -0:10 | 1.24 | +1 | 1.89 | -3 | 98% |
| San Diego, CA | 3:45 | -0:29 | 1.33 | -2 | 2.17 | -6 | 97% |
| San Francisco, CA | 6:07 | -0:39 | 1.46 | 0 | 2.43 | -3 | 98% |
| San Jose, CA | 5:06 | -0:13 | 1.46 | +3 | 2.39 | +4 | 98% |
| San Juan, PR | 4:49 | +0:16 | 1.50 | 0 | 1.95 | -16 | 35% |
| Seattle, WA | 6:27 | -0:28 | 1.38 | -9 | 2.25 | -26 | 92% |
| St. Louis, MO | 0:37 | -1:24 | 1.03 | -6 | 1.21 | -23 | 96% |
| Tampa, FL | 3:18 | -0:04 | 1.29 | +2 | 1.94 | +3 | 97% |
| Virginia Beach, VA | 3:34 | -2:03 | 1.16 | -5 | 1.76 | -28 | 95% |
| Washington, DC | 6:23 | -0:16 | 1.37 | +3 | 2.23 | +3 | 91% |
Notes:
Blue bolded values (with – sign) indicate improving conditions; red italics (with + sign) indicate worsening conditions.
Comparison of 2019 to 2018 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.
For More Information
Please contact Rich Taylor at rich.taylor@dot.gov.
