Regional data

The Pedestrian Danger Index (PDI) shows the relative likelihood in a given area of a person on foot being hit by a vehicle and killed. The PDI is based on the share of local commuters who walk to work–the best available measure of how many people are likely to be out walking each day — and the most recent five years of data on pedestrian fatalities. The most dangerous places for walking have the highest PDI — meaning more pedestrian deaths per capita, despite fewer people walking.

All metro areas over 1 million, ranked by Pedestrian Danger Index

Metropolitan Area Total traffic fatalities (2003–2012) Total pedestrian fatalities Percentage of traffic deaths that were pedestrians Annual pedestrian deaths per 100,000 (2008–2012) Percentage of people commuting by foot (2008–2012) Pedestrian Danger Index (2008–2012) Percentage of pedestrian fatalities by posted speed limit (2003–2012) Percentage of pedestrian fatalities on arterials
Under 20 mph Under 30 mph 40 mph and over
Orlando-Kissimmee, FL 3,093 583 18.8% 2.75 1.1% 244.28 1.4% 7% 84% 68.5%
Tampa-St. Petersburg-Clearwater, FL 3,998 874 21.9% 2.97 1.6% 190.13 0.9% 3% 77% 61.0%
Jacksonville, FL 2,060 359 17.4% 2.48 1.4% 182.71 0.8% 3% 73% 62.6%
Miami-Fort Lauderdale-Pompano Beach, FL 6,690 1,539 23.0% 2.58 1.8% 145.33 1.7% 5% 64% 57.6%
Memphis, TN-MS-AR 2,007 239 11.9% 1.72 1.3% 131.26 0.9% 2% 77% 54.8%
Birmingham-Hoover, AL* 1,950 148 7.6% 1.33 1.1% 125.60 0.7% 7% 62% 30.8%
Houston-Sugar Land-Baytown, TX 6,201 1,034 16.7% 1.70 1.4% 119.64 0.5% 1% 64% 23.7%
Atlanta-Sandy Springs-Marietta, GA 5,976 839 14.0% 1.59 1.3% 119.35 0.0% 5% 75% 59.5%
Phoenix-Mesa-Scottsdale, AZ 4,936 840 17.0% 1.86 1.6% 118.64 0.3% 7% 72% 70.9%
Charlotte-Gastonia-Concord, NC-SC 1,751 254 14.5% 1.65 1.5% 111.74 1.6% 6% 67% 29.1%
Detroit-Warren-Livonia, MI 3,387 713 21.1% 1.55 1.4% 111.63 1.0% 12% 51% 70.1%
Dallas-Fort Worth-Arlington, TX 5,838 900 15.4% 1.31 1.2% 107.54 0.7% 1% 73% 19.8%
Las Vegas-Paradise, NV 2,045 413 20.2% 1.85 1.8% 102.67 0.2% 6% 60% 67.3%
Riverside-San Bernardino-Ontario, CA 5,901 889 15.1% 1.81 1.8% 102.17 0.2% 7% 80% 54.2%
Nashville-Davidson--Murfreesboro--Franklin, TN 2,270 210 9.3% 1.25 1.2% 100.79 0.5% 0% 72% 60.0%
Raleigh-Cary, NC* 1,190 165 13.9% 1.37 1.4% 100.35 1.3% 4% 81% 34.5%
Louisville/Jefferson County, KY-IN 1,606 200 12.5% 1.60 1.6% 98.48 1.5% 10% 50% 51.0%
San Antonio, TX 2,297 373 16.2% 1.86 1.9% 96.87 0.0% 0% 73% 23.1%
Richmond, VA 1,579 167 10.6% 1.32 1.4% 94.98 0.6% 10% 74% 64.0%
Oklahoma City, OK 1,571 177 11.3% 1.43 1.6% 87.16 0.0% 5% 83% 34.7%
Kansas City, MO-KS 2,185 228 10.4% 1.13 1.3% 85.74 1.8% 9% 58% 27.3%
New Orleans-Metairie-Kenner, LA 1,480 272 18.4% 2.09 2.5% 84.90 5.8% 13% 54% 55.9%
Sacramento--Arden-Arcade--Roseville, CA 2,051 390 19.0% 1.66 2.0% 81.27 0.0% 10% 71% 64.5%
Austin-Round Rock, TX 1,793 251 14.0% 1.44 1.8% 78.58 0.0% 1% 78% 24.9%
Indianapolis-Carmel, IN 1,684 199 11.8% 1.16 1.6% 72.98 3.4% 6% 61% 8.0%
St. Louis, MO-IL 3,299 364 11.0% 1.22 1.7% 69.69 2.5% 10% 52% 43.6%
Los Angeles-Long Beach-Santa Ana, CA 8,616 2,435 28.3% 1.79 2.7% 66.91 0.5% 14% 42% 70.6%
Baltimore-Towson, MD 2,394 482 20.1% 1.78 2.7% 66.42 0.4% 12% 48% 64.6%
San Diego-Carlsbad-San Marcos, CA 2,592 576 22.2% 1.79 2.7% 66.02 0.4% 10% 63% 50.7%
San Jose-Sunnyvale-Santa Clara, CA 1,008 260 25.8% 1.35 2.1% 65.58 0.8% 14% 49% 64.6%
Denver-Aurora-Broomfield, CO 1,845 349 18.9% 1.24 2.1% 58.13 0.8% 8% 43% 69.9%
Columbus, OH 1,656 187 11.3% 1.20 2.1% 56.29 1.6% 9% 56% 47.6%
Salt Lake City, UT 842 132 15.7% 1.26 2.3% 55.28 1.6% 12% 57% 28.8%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 4,984 959 19.2% 1.64 3.7% 44.27 0.7% 20% 55% 66.4%
Washington-Arlington-Alexandria, DC-VA-MD-WV 4,204 843 20.1% 1.41 3.2% 44.06 0.2% 19% 51% 56.1%
Virginia Beach-Norfolk-Newport News, VA-NC 1,334 186 13.9% 1.13 2.6% 43.60 1.6% 12% 65% 68.5%
Buffalo-Niagara Falls, NY 774 147 19.0% 1.29 3.0% 43.06 0.0% 0% 47% 40.8%
Hartford-West Hartford-East Hartford, CT 940 121 12.9% 1.11 2.7% 41.58 0.9% 32% 32% 50.0%
Providence-New Bedford-Fall River, RI-MA 1,273 198 15.6% 1.26 3.2% 39.94 0.5% 28% 33% 49.7%
Cincinnati-Middletown, OH-KY-IN 1,962 187 9.5% 0.84 2.1% 39.54 0.5% 20% 47% 36.4%
Milwaukee-Waukesha-West Allis, WI 1,037 183 17.6% 1.07 2.8% 38.79 1.7% 22% 14% 73.1%
Cleveland-Elyria-Mentor, OH 1,309 142 10.8% 0.73 2.1% 34.37 0.0% 33% 33% 36.2%
Rochester, NY 874 121 13.8% 1.20 3.5% 33.97 0.0% 1% 51% 41.3%
Chicago-Naperville-Joliet, IL-IN-WI 6,370 1,165 18.3% 1.03 3.1% 32.94 1.9% 6% 35% 54.1%
Portland-Vancouver-Beaverton, OR-WA 1,366 250 18.3% 1.12 3.5% 32.19 1.8% 14% 50% 65.2%
Minneapolis-St. Paul-Bloomington, MN-WI 2,016 249 12.4% 0.72 2.2% 32.15 2.0% 4% 53% 59.0%
San Francisco-Oakland-Fremont, CA 2,360 633 26.8% 1.36 4.3% 31.44 0.6% 37% 30% 56.3%
New York-Northern New Jersey-Long Island, NY-NJ-PA 10,414 3,384 32.5% 1.76 6.2% 28.43 0.7% 17% 38% 61.1%
Seattle-Tacoma-Bellevue, WA 1,968 375 19.1% 0.96 3.6% 26.81 0.3% 13% 39% 51.5%
Pittsburgh, PA 2,302 234 10.2% 0.90 3.6% 25.10 2.2% 39% 32% 50.6%
Boston-Cambridge-Quincy, MA-NH 2,399 476 19.8% 0.99 5.3% 18.65 2.2% 7% 29% 29.1%

Metros marked with an asterisk have a margin of error of over 10 percent for the Journey-To-Work data.