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Printable Version

Table 1-60: Annual Person-Hours of Highway Traffic Delay Per CapitaR

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Population group Urban area R1982 1985 R1990 1991 R1992 1993 1994 R1995 R1996 R1997 1998 1999 Percent change: Short-term1995-1999R Percent change: Long-term 1982-1999R
Percenta Ranka Percenta Ranka
Med Albany-Schenectady-Troy, NY 1 2 6 6 6 6 6 6 7 7 8 10 67 9 900 8
Med Albuquerque, NM 4 7 12 12 14 17 23 25 28 32 32 33 32 31 725 13
Lrg Atlanta, GA 11 20 25 22 25 32 43 43 49 55 53 53 23 40 382 31
Med Austin, TX 9 16 20 21 22 26 28 33 35 45 44 45 36 27 400 27
Sml Bakersfield, CA 1 1 4 4 5 4 4 5 5 6 6 6 20 43 500 20
Lrg Baltimore, MD 8 13 27 26 25 25 27 30 29 30 30 31 3 60 288 44
Sml Beaumont, TX 4 6 5 6 7 6 6 7 7 9 7 9 29 34 125 63
Vlg Boston, MA 12 20 28 28 30 33 34 37 38 39 41 42 14 49 250 46
Sml Boulder, CO 1 2 2 3 3 4 4 4 4 5 6 5 25 39 400 27
Sml Brownsville, TX 1 1 2 2 2 2 2 2 2 2 3 3 50 18 200 53
Lrg Buffalo-Niagara Falls, NY 2 3 4 4 4 4 4 4 4 5 6 8 100 2 300 43
Med Charlotte, NC 6 14 22 26 23 21 20 22 27 33 32 32 45 21 433 26
Vlg Chicago, IL-Northwestern, IN 11 17 23 25 25 27 26 28 30 31 34 34 21 42 209 52
Lrg Cincinnati, OH-KY 4 7 15 15 18 20 23 24 26 29 30 32 33 28 700 14
Lrg Cleveland, OH 1 2 6 7 8 10 12 15 17 18 18 20 33 28 1,900 1
Sml Colorado Springs, CO 1 3 3 4 6 7 9 11 12 14 17 20 82 4 1,900 1
Lrg Columbus, OH 3 4 15 15 17 17 20 21 24 28 28 29 38 26 867 10
Sml Corpus Christi, TX 3 3 4 5 6 5 5 5 5 5 6 7 40 25 133 61
Lrg Dallas, TX 8 17 23 25 26 29 30 32 32 38 40 46 44 23 475 23
Lrg Denver, CO 13 16 20 21 25 29 29 34 36 38 42 45 32 30 246 47
Vlg Detroit, MI 12 14 32 33 37 39 37 37 40 41 40 41 11 53 242 48
Med El Paso, TX-NM 2 3 5 7 9 10 11 9 8 9 11 14 56 14 600 16
Sml Eugene-Springfield, OR 1 2 2 2 3 5 3 4 5 6 7 10 150 1 900 8
Lrg Fort Worth, TX 5 10 14 13 14 16 18 19 20 23 27 33 74 6 560 17
Med Fresno, CA 4 5 15 13 12 9 8 10 12 14 15 18 80 5 350 36
Lrg Fort Lauderdale                                
-Hollywood-Pompano Beach, Fl 7 7 12 15 20 22 20 20 22 25 25 29 45 22 314 42
Med Hartford-Middletown, CT 6 13 17 16 17 12 12 13 14 16 17 19 46 20 217 51
Med Honolulu, HI 8 9 17 17 19 19 19 19 19 19 19 19 0 62 138 60
Vlg Houston, TX 27 38 32 28 27 32 32 31 36 42 49 50 61 13 85 66
Lrg Indianapolis, IN 3 4 9 11 15 25 33 44 44 46 38 37 -16 68 1,133 5
Med Jacksonville, FL 5 7 20 21 25 26 27 33 30 29 28 30  -9 66 500 20
Lrg Kansas City, MO-KS 2 3 7 6 8 12 13 14 16 19 19 24 71 7 1,100 6
Sml Laredo, TX 1 1 1 2 2 2 3 3 4 4 5 5 67 9 400 27
Lrg Las Vegas, NV 5 9 22 22 17 17 19 20 21 20 20 21 5 59 320 40
Vlg Los Angeles, CA 31 36 59 57 57 54 52 55 56 55 55 56 2 61 81 67
Med Louisville, KY-IN 8 8 9 12 17 23 27 25 28 32 35 37 48 19 363 33
Med Memphis, TN-AR-MS 2 3 10 11 13 14 18 22 23 25 24 22 0 62 1,000 7
Lrg Miami-Hialeah, FL 17 20 38 37 40 41 42 39 38 41 42 42 8 56 147 59
Lrg Milwaukee, WI 4 7 11 12 14 17 17 18 19 20 20 22 22 41 450 24
Lrg Minneapolis-St. Paul, MN 3 7 15 15 18 21 25 27 27 33 35 38 41 24 1,167 4
Med Nashville, TN 13 13 18 16 15 18 24 27 28 34 34 42 56 14 223 50
Lrg New Orleans, LA 10 15 15 17 16 15 17 18 17 17 18 18 0 62 80 68
Vlg New York, NY-Northeastern, NJ 8 10 22 21 21 22 25 27 30 33 33 34 26 38 325 38
Lrg Norfolk, VA 9 17 20 17 15 15 17 19 23 25 24 24 26 37 167 56
Lrg Oklahoma City, OK 4 4 6 7 8 8 7 10 12 14 14 17 70 8 325 38
Med Omaha, NE-IA 3 5 10 11 12 12 15 16 18 17 18 19 19 45 533 18
Lrg Orlando, FL 10 18 24 29 33 35 33 33 37 40 42 42 27 36 320 40
Vlg Philadelphia, PA-NJ 8 11 16 18 18 18 20 20 22 24 26 26 30 32 225 49
Lrg Phoenix, AZ 12 13 23 24 24 25 25 24 29 29 30 31 29 33 158 57
Lrg Pittsburgh, PA 6 7 11 11 11 11 11 12 12 12 14 14 17 46 133 61
Lrg Portland-Vancouver, OR-WA 4 7 17 18 22 29 28 30 34 32 32 34 13 50 750 12
Med Providence-Pawtucket, RI-MA 3 7 17 15 14 16 17 18 21 21 26 28 56 14 833 11
Med Rochester, NY 1 2 4 5 5 5 6 7 8 8 7 8 14 48 700 14
Lrg Sacramento, CA 9 13 31 31 27 29 31 30 36 33 32 34 13 50 278 45
Sml Salem, OR 1 1 6 6 7 9 9 9 11 13 14 14 56 14 1,300 3
Med Salt Lake City, UT 3 4 8 11 13 15 18 20 21 20 18 18 -10 67 500 20
Lrg San Antonio, TX 5 9 8 8 10 8 9 13 15 16 18 24 85 3 380 32
Lrg San Bernardino-Riverside, CA 6 14 31 32 32 34 34 35 37 35 38 38 9 55 533 18
Lrg San Diego, CA 8 14 33 30 32 31 30 31 31 31 34 37 19 44 363 33
Vlg San Francisco-Oakland, CA 20 29 42 39 39 39 37 39 40 38 41 42 8 56 110 65
Lrg San Jose, CA 19 28 41 41 39 37 37 39 39 37 39 42 8 56 121 64
Lrg Seattle-Everett, WA 19 29 48 50 55 49 48 46 47 51 53 53 15 47 179 54
Sml Spokane, WA 2 3 4 6 5 8 9 6 7 9 9 10 67 9 400 27
Lrg St. Louis, MO-IL 10 16 18 17 20 35 38 39 40 42 43 44 13 52 340 37
Med Tacoma, WA 5 8 17 19 19 20 21 21 22 25 26 27 29 34 440 25
Med Tampa, FL 13 15 26 31 33 33 38 38 36 35 35 35  -8 65 169 55
Med Tucson, AZ 5 5 11 10 11 14 14 14 16 22 25 23 64 12 360 35
Vlg Washington, DC-MD-VA 18 27 40 39 41 40 41 42 45 44 45 46 10 54 156 58
                                 
68 Area Averageb 11 16 26 26 27 28 29 30 32 34 35 36 20   227  
Very Large Area Averageb 15 21 33 33 33 33 34 35 38 39 40 41 17   173  
Large Area Averageb 8 12 21 21 23 25 26 28 29 31 32 34 21   325  
Medium Area Averageb 5 8 14 15 16 17 19 21 22 24 24 26 24   420  
Small Area Averageb 2 2 4 4 5 6 6 6 7 8 9 10 67   400  

KEY: R = revised.

Vlg = very large urban areas – over 3 million population.

Lrg = large urban areas – over 1 million and less than 3 million population.

Med = medium urban areas – over 500,000 and less than 1 million population.

Sml = small urban areas – less than 500,000 population.

a Percent change was calculated using the numbers in this table and were not obtained from the source mentioned below. Rank is based on the calculated percent change with the highest number corresponding to a rank of 1.

b For the years 1982, 1992, and 1999, the averages were obtained from table A-5 from the Texas Transportation Instutute's The 2001 Annual Urban Mobility Report referenced below. For other years, the averages were calculated using data obtained from the web site.

NOTES: The cities shown represent the 50 largest metropolitan areas, as well as others chosen by the states sponsoring the Texas Transportation Institute study on mobility.

The source, for the year 2001, decided to only publish hours of delay per capita, contrary to previous years when the source would publish data for eligible drivers, as well as per capita. To account for this change, the entire table has been updated to reflect the data based on hours of delay per capita.

SOURCE: 1982 - 99: Texas Transportation Institute, The 2001 Annual Urban Mobility Report (College Station, TX: 2001) from Internet site http://mobility.tamu.edu accessed on Sept. 14, 2001.