Table 1-60:  Annual Person-Hours of Highway Traffic Delay Per CapitaR,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,Percent change,,,,
,,,,,,,,,,,,,,,Short-term,,,Long-term,
Population ,,,,,,,,,,,,,,, 1995-1999R,,,1982-1999R,
group,Urban area,R1982,1985,R1990,1991,R1992,1993,1994,R1995,R1996,R1997,1998,1999,,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,
,,,,,,,,,,,,,,,,,,,continued,
Table 1-60 continued,,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,Percent change,,,,,
,,,,,,,,,,,,,,,Short-term,,,Long-term,,
Population ,,,,,,,,,,,,,,,1995-1999R,,,1982-1999R,,
group,Urban area,R1982,1985,R1990,1991,R1992,1993,1994,R1995,R1996,R1997,1998,1999,,Percenta,Ranka,,Percenta,Ranka,
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
,,,,,,,,,,,,,,,,,,,continued
Table 1-60 continued,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,Percent change,,,,
,,,,,,,,,,,,,,,Short-term,,,Long-term,
Population ,,,,,,,,,,,,,,,1995-1999R,,,1982-1999R,
group,Urban area,R1982,1985,R1990,1991,R1992,1993,1994,R1995,R1996,R1997,1998,1999,,Percenta,Ranka,,Percenta,Ranka
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 Average b,11,16,26,26,27,28,29,30,32,34,35,36,,20,,,227,
,Very Large Area Average b,15,21,33,33,33,33,34,35,38,39,40,41,,17,,,173,
,Large Area Average b,8,12,21,21,23,25,26,28,29,31,32,34,,21,,,325,
,Medium Area Average b,5,8,14,15,16,17,19,21,22,24,24,26,,24,,,420,
,Small Area Average b,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.",,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,,,