Operations Performance Measurement Program
photos of traffic merging on a multi-level freeway interchange, traffic near a construction zone, variable message sign, train at a crossing, traffic on a river bridge, and a rural highway
21st Century Operations Using 21st Century Technologies

UCR April 2020-June 2020 (FY 2020, Q3)

Urban Congestion Reports

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A Snapshot of Year-to-Year Congestion Trends in the U.S. for April 2020 through June 2020.

Congested Hours

Congested Hours comparison: 1:27 in 2020 and 3:42 in 2019. 2020 is a blue downward arrow indicating the general trend is for improving conditions.

-135 minutes
Average duration of daily congestion

Travel Time Index

Travel Time Index comparison: 1.05 in 2020 and 1.32 in 2019. 2020 is a blue downward arrow indicating the general trend is for improving conditions.

-28 points
Peak period vs. off-peak travel times

Planning Time Index

Planning Time Index comparison: 1.31 in 2020 and 2.03 in 2019. 2020 is a blue downward arrow indicating the general trend is for improving conditions.

-72 points
Unreliability (variability) of travel

2017 performance measures use NPMRDS v2 data with 2015 volumes.

U.S. map graphic showing each of the 52 metropolitan statistical areas identified with a dot of differing size and color relative to their improving or worsening conditions.
Graphic showing the summary of nationwide trends.
Graphic showing the summary of nationwide trends. 50 of the 52 cities (96%) showed improvements in all three measures; 0 of the 52 cities (0%) showed worsening conditions in all three measures; and 2 of the 52 cities (4%) had no change or mixed results among the three measures.
City (MSA) Congested Hours Travel Time Index Planning Time Index % Complete Data
2020 Change from 2019 2020 Change from 2019 2020 Change from 2019
Atlanta, GA 1:14 -3:10 1.04 -28 1.31 -78 96%
Austin, TX 1:30 -2:38 1.06 -33 1.38 -80 89%
Baltimore, MD 1:50 -3:44 1.04 -28 1.26 -85 91%
Birmingham, AL 0:50 -1:21 1.01 -12 1.17 -42 95%
Boston, MA 0:57 -3:26 1.02 -36 1.19 -91 91%
Buffalo, NY 2:36 -1:23 1.06 -8 1.23 -41 81%
Charlotte, NC 0:50 -2:12 1.03 -19 1.23 -59 97%
Chicago, IL 1:41 -3:31 1.06 -34 1.34 -82 97%
Cincinnati, OH 1:01 -2:10 1.03 -17 1.27 -61 97%
Cleveland, OH 0:35 -1:11 1.02 -8 1.17 -32 95%
Columbus, OH 0:37 -1:45 1.02 -14 1.16 -48 90%
Dallas-Fort Worth, TX 1:38 -2:16 1.06 -23 1.39 -65 92%
Denver, CO 3:18 -2:50 1.08 -27 1.48 -67 94%
Detroit, MI 1:00 -1:51 1.02 -15 1.20 -62 92%
Hartford, CT 0:59 -1:34 1.02 -11 1.18 -40 90%
Houston, TX 2:00 -2:23 1.07 -23 1.41 -70 88%
Indianapolis, IN 0:52 -1:14 1.04 -9 1.25 -32 93%
Jacksonville, FL 1:43 -1:10 1.04 -12 1.27 -42 95%
Kansas City, MO 1:16 -1:02 1.03 -11 1.23 -41 90%
Las Vegas, NV 0:51 -2:16 1.02 -13 1.20 -49 96%
Los Angeles, CA 2:21 -5:08 1.10 -55 1.45 -114 96%
Louisville, KY 0:26 -1:21 1.02 -7 1.17 -33 92%
Memphis, TN 0:59 -1:25 1.04 -7 1.25 -31 96%
Miami, FL 1:28 -3:23 1.05 -29 1.39 -79 94%
Milwaukee, WI 1:11 -1:40 1.04 -12 1.19 -51 95%
Minn.-St. Paul, MN 1:26 -2:51 1.04 -23 1.21 -78 92%
Nashville, TN 0:49 -2:18 1.03 -21 1.21 -69 94%
New Orleans, LA 1:37 -2:06 1.04 -16 1.26 -58 93%
New York, NY 1:56 -4:14 1.06 -32 1.35 -86 90%
Oklahoma City, OK 0:59 -1:04 1.03 -9 1.21 -31 93%
Orlando, FL 1:13 -2:33 1.04 -18 1.29 -53 93%
Philadelphia, PA 1:52 -2:25 1.04 -22 1.31 -61 92%
Phoenix, AZ 0:28 -1:55 1.02 -19 1.15 -51 97%
Pittsburgh, PA 2:06 -1:12 1.05 -10 1.26 -36 89%
Portland, OR 1:48 -4:20 1.07 -39 1.34 -103 96%
Providence, RI 2:25 -1:10 1.05 -9 1.29 -34 90%
Raleigh, NC 0:35 -1:29 1.02 -15 1.19 -52 96%
Richmond, VA 0:40 -1:11 1.02 -5 1.15 -26 95%
Riverside-San Bern., CA 2:24 -1:54 1.10 -19 1.40 -47 99%
Rochester, NY 1:18 -1:04 1.03 -6 1.18 -26 89%
Sacramento, CA 1:34 -2:12 1.04 -20 1.29 -58 96%
Salt Lake City, UT 1:01 -1:28 1.02 -13 1.21 -51 98%
San Antonio, TX 1:04 -2:21 1.03 -21 1.26 -65 96%
San Diego, CA 0:42 -2:40 1.02 -29 1.23 -80 94%
San Francisco, CA 1:39 -4:16 1.06 -42 1.37 -101 95%
San Jose, CA 1:06 -3:50 1.04 -42 1.28 -97 96%
San Juan, PR 4:26 +0:02 1.19 -23 1.26 -55 8%
Seattle, WA 2:09 -4:20 1.08 -37 1.37 -95 88%
St. Louis, MO 0:32 0:00 1.02 0 1.12 -10 93%
Tampa, FL 0:52 -2:01 1.03 -21 1.28 -55 95%
Virginia Beach, VA 2:13 -1:57 1.06 -15 1.35 -51 93%
Washington, DC 2:31 -4:32 1.07 -40 1.38 -99 87%

Notes:
Blue bolded values (with – sign) indicate improving conditions; red italics (with + sign) indicate worsening conditions.
Comparison of 2020 to 2019 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.

For More Information

Please contact Rich Taylor at rich.taylor@dot.gov.