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O-2014-003 Creating Section 21-7 Prohibition of Solicitation
ORDINANCE NO. 2014-003 AN ORDINANCE OF THE CITY COMMISSION OF THE CITY OF DANIA BEACH, FLORIDA, CREATING SECTION 21-7, "PROHIBITION OF RIGHT- OF-WAY VENDORS AND SOLICITORS ON CERTAIN ROADWAYS," OF THE CITY CODE OF ORDINANCES, TO PROHIBIT SOLICITATIONS IN AND UPON PORTIONS OF CERTAIN ROADWAYS WITHIN THE CITY; PROVIDING FOR SEVERABILITY; PROVIDING FOR CONFLICTS; FURTHER, PROVIDING AN EFFECTIVE DATE. WHEREAS, the City Commission has a significant interest in the safety of pedestrians and drivers, as well as the free flow of traffic within the City; and WHEREAS, the City Commission finds that a dangerous condition exists when any person approaches vehicles to solicit employment, conduct any business or seek any charitable contributions or donations from drivers traveling on any street or roadway within the City; and WHEREAS, City staff has analyzed each of the major roads within the City and has determined that certain roads, as specified in this Ordinance, pose the greatest threat to traffic and public safety in connection with activities and use by right-of-way vendors and solicitors; and WHEREAS, the City Commission of the City of Dania Beach deems it to be in the best interest of the citizens and residents of the City to prohibit right-of-way vendors and solicitors on portions of certain streets located in the City; NOW,THEREFORE,BE IT ORDAINED BY THE CITY COMMISSION OF THE CITY OF DANIA BEACH,FLORIDA: Section 1. That the foregoing "WHEREAS" clauses are confirmed as being true and correct and they are made a part of and are incorporated into this Ordinance by this reference. Section 2. That Section 21-7, entitled "Prohibition of right-of-way vendors and solicitors on certain roadways,"of the City Code of Ordinances is created to read as follows: Sec. 21-7. Prohibition of right-of-way vendors and solicitors on certain roadways. (a) Definitions. As used in this section, the following term(s) have the meaning set forth in this Section, except as otherwise indicated by the context: Right-of-way vendor or solicitor. Any person who sells or offers for sale any thing or service of any kind, seeks employment, or who seeks any contribution or donation of any kind, or who personally hands to or seeks to transmit by hand or receive by hand any thing or service of any kind, whether or not payment in exchange is required or requested, to any person who operates or occupies a motor vehicle of any kind, which vehicle is engaged in travel on or within any portion of any of the streets or roadways in the City, whether or not such vehicle is temporarily stopped in the travel lanes of the road. The term shall not apply to any person who merely holds or displays a sign lawfully permitted to be displayed by a person, as long as there is no entry by such person or sign into any portion of the roadway or its median or both. Further, this term shall not apply to official citations or notices provided pursuant to governmental i authority, such as traffic citations. (b) Findings;purpose; intent. The City Commission of the City of Dania Beach desires to adopt an ordinance prohibiting right-of-way vendors and solicitors on certain streets located in the City because such vendors and solicitors pose a danger to themselves and the public at large by interfering with the safe movement of normal vehicular traffic; and (1) According to the Florida Department of Highway Safety and Motor Vehicles 2011 Florida Traffic Crash Statistics Report, 497 pedestrians were killed and 6,194 pedestrians were injured on Florida roadways in 2011 alone; 245 pedestrians were killed on roadways in Broward County during the five (5) year period from 2007-2011; and (2) Based upon statistics collected by the Surface Transportation Policy Project, the Miami-Fort Lauderdale area is one of the most dangerous areas in the United States for pedestrians; and (3) Numerous types of right-of-way vendors and solicitors may seek to operate within the City, including, but not limited to, children, adolescents and adults who seek to collect money for school and community activities; vendors who sell flowers, newspapers and other products; and people who seek contributions or donations, or to distribute written information; and (4) Right-of-way vendors and solicitors approach motorists and passengers in motor vehicles engaged in travel on roads, and are particularly susceptible and vulnerable to serious injury or death due to the speed and number of motorists who operate vehicles on busy roads within the City; and 2 ORDINANCE#2014-003 (5) Roads are primarily designed for vehicular traffic and are not suited to safely accommodate right-of-way vendors and solicitors; and (6) According to a local newspaper article published in 2003,twenty-nine (29) right-of-way vendors/solicitors have been seriously injured and at least fourteen 14 � Y Y J ( ) more have been killed by motor vehicles during a fifteen (15) year period; many of those deaths occurred while the vendor/solicitor was sitting or standing in a median or on the side of the street (including a Sun-Sentinel newspaper vendor who was struck by a car while carrying newspapers on U.S. 1 and Broward Boulevard in Fort Lauderdale on July 30, 2000; a Miami Herald newspaper vendor who was standing on the median at Federal Highway and Stirling Road in the City of Dania Beach on May 23, 2002; and a Miami Herald newspaper vendor who was selling papers on the side of the street at Stirling Road and U.S. 441 in the City of Hollywood on August 7, 2002); and (7) On October 1, 2006, a local newspaper vendor was struck and killed by a hit and run driver while standing on the median on Miramar Parkway and State Road 7 in Miramar, and on November 2, 2007, a Miami Herald newspaper vendor was struck and killed by a hit and run driver while standing on the median in Northwest Miami-Dade County; and (8) The presence of right-of-way vendors and solicitors interferes with the safe movement of normal vehicular traffic; and (9) The road network in the City is substantially burdened by a high volume of traffic, and road design frequently includes complex vehicle turn movements which demand a driver's strict attention;and (10) It is the intention of the City Commission to use the least restrictive means to advance the significant governmental interests of traffic safety and public safety and, consequently, City staff analyzed each of the major roads within the City and determined that the roads listed in subsection (c) below present an increased and significant danger for use by distracted drivers, pedestrians and right-of-way vendors and solicitors, and pose the greatest threat to traffic and public safety in reference to activities and use by right-of-way vendors and solicitors, and therefore the City Commission has determined that such activities and use by right-of-way vendors and solicitors shall be prohibited on the roads listed in subsection(c); and 3 ORDINANCE#2014-003 (11) It is the finding of the City Commission that many other alternative channels of communication(other than right-of-way canvassing and solicitation) exist for persons who seek to exercise their First Amendment freedoms, such as, but by no means limited to, solicitation of funds or distribution of literature through the mail or at alternate locations (such as houses of worship, shopping areas and special events); the sale or distribution of newspapers through home or office delivery, vending machines and retail stores; and the sale of items of all kinds at retail stores, through the internet and from vending machines; and (12) The City Commission desires to preserve and protect the personal safety and quality of life of its residents and of those who use streets within the City, both pedestrians and motorists alike; and (13) The City Commission has reviewed the proposed regulations provided by this section and finds that such regulations accomplish the purposes intended while utilizing the least restrictive method possible; and (14) The City Commission fords that it is in the best interests of the residents of the City to adopt this section. (c) Prohibited roadways. It shall be unlawful for any person to act as a right-of-way vendor or solicitor at or within two hundred (200) feet from the lateral curb or boundary line of any of the following roadway intersections (including the swales and medians abutting such roadways): (i) Griffin Road and Interstate 95; (ii) Stirling Road and Interstate 95; (iii) Stirling Road and Federal Highway(U.S. 1); (iv) S.W. 16th Street and Federal Highway(U.S. 1); (v) Dania Beach Blvd and Federal Highway(U.S. 1); (vi) Old Griffin Road and Federal Highway; (U.S. 1) (vii) Griffin Road and Ravenswood Road(Angler's Avenue); and (viii) Stirling Road and Ravenswood Road(Angler's Avenue). (d) Chapter 316, Florida Statutes. The enforcement of this section shall not, in any way,preclude the enforcement of Section 316.130(5), Florida Statutes, as applicable. 4 ORDINANCE#2014-003 Section 3. That if any section, clause, sentence or phrase of this ordinance is for any reason held invalid or unconstitutional by a court of competent jurisdiction, the holding shall not affect the validity of the remaining portions of this Ordinance. Section 4. That all ordinances or parts of ordinances in conflict with the provisions of this Ordinance are repealed to such extent of the conflict. Section 5. That this Ordinance shall take full effect immediately upon its passage and adoption. PASSED on first reading on April 8, 2014. PASSED AND ADOPTED on second reading on April 22 20 4. P ATTEST: LOUISE STILSON, M �� WALTER B. DUKE, III CITY CLERK MAYOR APPROVED AS FO AND CORRECTNESS: � &S F THOMAS JtRMEY Bkd CITY ATT 5 ORDINANCE#2014-003 i ty dam iH exakt (E'L) Copyr7 htll 2007 TheM jam iH era]d i N oven ber3,20 0 7 Sectbn:B NORTHW EST ]AM PDADE:HL-mndrWrUbvendor,82 Fam Dym em bers w exe devastated by the bw of 82-parold 0 am r G uada,a healthy,vivantnew spaperhaw ker cwsstmg the sbmettn gat h:b stack ofpapers. ERIKA BERAS,ebe=A m lam 3iesatktn�a Every morning fiir fire peel foe years,Oscar t3oada,82,drone firm Southwest in NarfLwest Miami-Dude when from S to 10 a.m,he paddled Miami herald and El Nuevo Harald newspapers to motorisb in a 10-block radius. On Friday,ass than an hoar into his shift,as he was crossing Nortliwast Seventh Street an the way to pack op Lis daily batch of newspapers,a pickup truck slammed ido him. The dam didn't atop and Criiada died m tmtly.The maws sudden dealh left his family Leactbrokm. 01 don't know how someone could do 94"said longtime$imd and fidlow newspaper vendor Jesus Pedro Rosa,72."Haw you could Lit a man andjust keep 13oinjj�" AT THE SCWW The vehicle,which ponce identified,as a newehmodd gray Toyada Ttaxim pickup with timed windows and some possible front-end damage,and its driver were still at large Friday slight. As traffic homicide detectives blocked off the arcs west of Noitirweat 107th Avesme and SSeveafh Street Friday rooming,his family arrived at the corner where he died to get his betonghW. They hoer gathered at the Soud[W t Miami-Dade Loess vvLer+e he lived wi*his partner,Blanca Basque.79.They shared tears and fiWed thraugb photo albimrs. I "I loved him like a fi&er,"said his stepson,Noel Mu[+oz."When owneone is tbat age,if they are sick,you expect this,but he was in great hadth,very alive.This was the last thing we expected." BeTi ve wed dug as a vendor,Guada had been a gardwer.A widower,he came to South Florida from Cuba 15 years ago.His j 38-year-old son and two grmaddHklrm remain on the ialan& � i i I I RISKY JOB 7u haw dng job can be doopm a—said ve xim weaving in and out of the maybem that is Saudi Florida hiffc risk igNry and in Guano's case,death. i The 50 or so sheet vatdors who wank in Nami.Dade and Bmwwd comities earring Miami Herald and El Nuevo herald newspepers are not company employees.They are ant coubvdocs employed by&str to s. The tumovar rate is N*Ram said."The ymmg rip cane do it but they can gat a job dobig eanieth*else so they leave," be said."It's per&ct fior old gays like as,who want to work and get some exercise." Rosa said he got Csuada,his old hometown fiend,into the jab. "It is tenfile dot this happeood,"said Teay Whitney,vice pm W ttt of chzelatiam for The Miami Herald. Ganda earned$230 a week n0ing newspapers.My j*oz said,and seat it hack to his son m Cuba. LOVEFORBASEBALL Twahvv years age,he met Basque,also from f van Cites.They Lit it off almost mnaedwA*and began tom, giving him an addWo W Soar stepaluldrot and a ssmadte&S of step-gtamddQ&,a n. Hewn a quiet maawho myayed telling stories audW been awn fiardic all Lis life,farm'ty members said.A faRmer amateur fist baseaoao.be lived far bra&@I1,tooting for the Marlins. "This is devestWn&"Mu[*oz said"It ishard lasing someone you love.Butte lone them Mathis...these areno words£or tbiel —ludaL Relereaen— Indastry:(>3atterfaia wd(1EM);Calebrities(10E65)) Region:(Cabe(1CU43r USA(1U873k Americas(lAM9Z);Florida(IFL79);North America(I NO39�C aftesn(iCA06); Latin America{1LAl�) Laugaage:EN Other Indexing:(EL NUEVO HERALD)(Basque;Blanca Basque;Gmada;Jam Pedro Rasa;Mn[;Noel Min[;Oww Ouada; Rase;Tony WhdM;Toyota ltimdrs)(Saudi Florida)(Caha)(ftA Florida.)(Cola)(m;aaa;na;MA cu,c> ca;keen) Keywords:(NT/NEC);(SUAocd) Edition:FL Word Count:591 2011 Florida Traffic Crash • 2D10 2011 %Change Traffic crashes 235,461 227,9% -3.17% Drivers involved 338,112 M409 -0.98% Average crashes per day 645 625 -3.17% Mileage Death Rate(per 100 million VMT) 1.25 L25 0.00% Fatal crashes 2,261 2,214 -2.08% Fatalities 2,444 Z400 -1.80% Injury crashes 124,847 117,W -5.56% Injuries 195,104 181AM -6.89% Property damage only crashes 108,353 MW -0.43% Alcohol Related/Suspected crashes 17,748 I7,W -3.84% Alcohol Related/Suspected fatal crashes 746 X5 10.99% Alcohol Related/Suspected fatalities 794 920 15.87% Alcohol Related/Suspected injury crashes 7,825 $ 5.58% Alcohol Related/Suspected injuries 12,168 i16 -2.89% Alcohol Confirmed Crashes Alcohol Suspected Crashes 7AW Drug-related/Suspected crashes 1,236 tm 61.41% Drug-related/Suspected fatalities 106 79.25% Drug-related/Suspected injuries 957 1AS6 62.59% Pedestrian crashes 7,8943 -10.83% Pedestrians killed 499 4W -0.40% Pedestrians injured 7,290 15.03% Bicycle crashes 4,925 5itfl3 1.79% Bicycle riders killed 76 IN 57.89% Bicycle riders injured 4,600 4 0.70% Other non-motorist Crashes l Other non-motorist killed 7 Other non-motorist injured 357 Motorcycle crashes 7,484 BA21 15.19% Motorcyclists killed 350 40 18.00% Motorcycle passengers killed 33 38 15.15% Motorcyclists injured 6,686 7,194 7.60% Motorcycle passengers injured 725 776 7.03% Teen crashes 26,848 29,176 4.95% Teen Drivers Killed 80 91 13.75% Teen Passengers Killed 64 63 -1.56% Teen Drivers injured 10,563 am -16.29% Teen Passengers Injured 7,980 6,%8 -12.68% County Data 2011 Florida Traffic ' Crash Statistics Year • History ALACHUA 4,247 4,415 4,465 4,148 LEON 5,733 5,561 5,046 5,118 BAKER 298 302 278 281 LEVY 442 410 411 402 BAY 2,575 2,549 2,867 2,948 LIBERTY 93 69 75 75 BRADFORD 370 397 311 303 MADISON 288 321 279 302 BREVARD 4,549 4,909 4,750 4,873 MANATEE 4,074 3,777 3,876 3,897 BROWARD 26,981 26,417 25,957 26,233 MARION 3,941 3,559 3,321 3,422 CALHOUN 99 95 103 103 MARTIN 1,361 1,370 1,437 1,465 CHARLOTTE 1,695 1,514 1,485 1,540 MIAMI-DADE 45,218 43,376 42,244 43,260 42ZXMI CITRUS 963 941 981 954 MONROE 1,4091 1,281 1,3071 1,264 CLAY 1,483 1,595 1,574 1,539 NASSAU 666 647 569 596 COLLIER 2,473 2,222 1,953 1,904 OKALOOSA 2,026 1,779 1,924 1,867 COLUMBIA 830 1,035 9261 995 OKEECHOBEE 396 398 337 349 m DE SOTO 343 2M 282 279 Aq ORANGE 18,089 16,712 16,092 17,090 " DIXIE 129 140 150 111 nq OSCEOLA 3,004 2,810 2,795 3,141 DUVAL 15,348 14,771 14,102 13,431 PALM BEACH 14,674 13,831 13,398 13,410wn ESCAMBLA 4,755 4,419 4,637 4,522 PASCO 6,263 6,042 5,780 5,576 FLAGLER 792 695 715 716 PINELLAS 13,228 13,685 13,669 13,450 FRANKLIN 96 82 99 81 POLK 6,957 6,446 51980 5,579 GADSDEN 700 592 557 534 PUTNAM 1,104 978 885 744 GILCHRIST 138 127 122 113 SANTA ROSA 1,419 1,186 1,363 1,318 GLADES 151 128 146 1201 SARASOTA 3,4521 3,201 3,225 1 3,621 GULF 99 100 82 78 SEMINOLE 2,895 2,717 2,574 2,440 HAMILTON 153 216 192 188 ST.JOHNS 1,936 1,635 1,709 1,220 HARDEE 358 297 293 289 3M ST.LUCIE 2,393 2,288 2,336 2,210 HENDRY 352 300 270 230 204 SUMTER 846 729 672 720 701 HERNANDO 1,698 1,493 1,424 1,386 SUWANNEE 418 472 376 429 494 HIGHLANDS 789 673 635 656 Al TAYLOR 332 294 293 206 nq HILLSBOROUGH 22,613 20,162 18,168 17,480 UNION 115 103 101 113 oq HOLMES 155 144 138 156 vqVOLUSIA 6,113 5,709 5,685 5,811 INDIAN RIVER 1,366 1,292 1,1531 990 J8q WAKULLA 260 263 277 242 21 JACKSON 535 542 519 469 51 WALTON 671 602 597 597 JEFFERSON 198 172 171 132 WASHINGTON 198 204 192 168 LAFAYETTE 59 60 36 57 UNKNOWN 20 - 5 10 LAKE 2,571 2,619 2,491 2,540 STATEWIDE 1 256,206 243,342 235,778 7.35,461 22? LEE 6,211 5,198 4,916 1 4,970 A'Alld CrashCounty Data 2011 Florida Traffic • Year AlcoholRelated/Suspected Crashes couxff 2IIl'1' 2 2M � 2W C1Dt if 2W 3N 209 3Bfi 2M ALACHUA 332 328 299 242 277 LEON 417 404 343 305 352 BAKER 46 44 37 50 41 LEVY 58 45 57 47 54 BAY 426 426 391 379 NJ LIBERTY 18 9 13 12 11 BRADFORD 45 61 33 31 28 MADISON 24 41 38 35 32 BREVARD 667 635 554 497 411 MANATEE N 543 445 398 305 292 BROWARD 1,597 1,714 1,513 1,424 1,187 MARION 311 350 270 215 20 CALHOUN 19 24 28 24 201MARTIN 217 201 212 162 CHARLOTTE 183 148 154 134 qqMIAMI-DADE 1,881 1,898 1,797 1,588 CITRUS 177 135 130 ill IM MONROE 208 216 214 192 CLAY 199 231 183 155 121 NASSAU 114 107 81 64 COLLIER 330 1 308 280 258 264 OKALOOSA 343 277 293 263 COLUMBIA 118 137 111 107 94OKEECHOBEE 62 55 61 51 28 DE SOTO 48 42 32 31 31 ORANGE 1,352 1,373 1,304 1,091 DDQE 20 26 20 20 viOSCEOLA 241 258 243 205 Im DUVAL 1,368 1,356 1,166 1,056 tOM PALM BEACH 1,311 1,254 1,715 1,123 ESCAMBIA 701 594 553 470 5m PASCO 555 544 477 417 FLAGLER 94 94 104 79 mi PINELLAS 1,443 1,390 1,223 1,198 FRANKLIN 26 19 24 17 2q POLK 631 672 585 474 GADSDEN 81 100 98 69 54 PUTNAM 139 125 129 109 GILCHRIST 25 34 19 18 SANTA ROSA 194 169 198 170 L% GLADES 18 19 9 15 SARASOTA 472 437 390 382 GULF 24 26 27 13 21 SEMINOLE 449 442 384 290 HAMILTON 20 26 22 20 11 ST.JOHNS 282 235 277 156 217 HARDEE 30 34 33 29 21 ST.LUCIE 265 253 214 183 204 HENDRY 67 41 44 35 SUMTER 60 61 68 52 47 HERNANDO 196 173 132 110 10 SUWANNEE 56 69 56 45 HIGHLANDS 88 81 73 79 TAYLOR 51 45 45 36 42 HILLSBOROUGH 1,925 1,788 1,422 1,363 UNION 20 21 19 15 12 HOLMES 20 22 16 17 18 VOLUSIA 726 755 684 641 513 INDIAN RIVER 183 161 137 112 88 WAKULLA 48 63 63 31 44 JACKSON 62 75 62 38 Sl WALTON 120 97 108 85 99 JEFFERSON 22 23 29 22 WASHINGTON 26 31 28 16 26 LAFAYETTE 7 11 10 7 61 UNKNOWN 1 - 1 1 LAKE 306 296 275 236 194 STATEWIDE 22,823 22,Z591 20,625 17,748 17 LEE 715 685 617 521 570 CrashCounty Data 2011 Florida Traffic • Year • • History 2w � =89 2m 2m comaY am 2m 2 2m 22 7ALACHUA 57 42 30 26 LEON 22 31 29 36 6 12 13 12 LEVY 15 9 13 14 1 35 22 28 18 241 LIBERTY 4 2 2 1 BRADFORD 11 8 7 7 MADISON 20 9 10 21 6 BREVARD 99 81 54 65 MANATEE 58 55 37 4440 BROWARD 253 228 189 179 MARION 66 87 61 73 CALHOUN 4 3 5 3 MARTIN 26 30 33 271 24 CHARLOTTE 30 24 28 21 2q MIAMI-DADE 310 271 260 246 CITRUS 23 23 33 25 MONROE 21 20 23 21 11 CLAY 27 15 16 14 NASSAU 27 21 16 21 14 COLLIER 54 34 39 42 41 OKALOOSA 25 26 21 20 Zq COLUMBIA 28 36 26 25 31 OKEECHOBEE 14 9 14 13 DE SOTO 7 9 9 4 ORANGE 186 170 142 130 in DDCIE 8 3 4 3 OSCEOLA 52 55 50 34 46 DUVAL 166 120 114 110 91 PALM BEACH 206 198 151 123 ESCAMBIA 64 63 38 36 44 PASCO 99 88 79 75 FLAGLER 16 31 16 23 24 PINELLAS 114 114 104 96 FRANKLIN 2 3 3 6 POLK 106 133 94 85 92 GADSDEN 14 25 13 11 PUTNAM 23 20 20 22 1 GILCHRIST 6 11 3 4 SANTA ROSA 25 15 27 21 GLADES 3 13 5 2 SARASOTA 61 42 40 411 37 GULF 6 2 6 2 SEMINOLE 48 42 23 32 48 HAMILTON 4 6 7 8 ST.JOHNS 35 39 26 21 27 HARDEE 7 10 8 14 Il ST.LUCIE 44 33 38 29 22 HENDRY 14 17 16 10 9 SUMTER 26 17 21 23 1 HERNANDO 40 1 37 31 28 29 SUWANNEE 20 11 11 12 1 HIGHLANDS 24 21 16 19 11 TAYLOR 13 6 6 6 1 HILLSBOROUGH 183 182 141 153 151 UNION 4 5 6 6 1 HOLMES 3 6 4 4 7 VOLUSIA 108 109 94 105 ffi INDIAN RIVER 23 26 23 26 WAKULLA 4 10 6 4 JACKSON 18 16 27 10 180WALTON 22 17 18 28 17 JEFFERSON 7 8 6 6 8 WASHINGTON 10 12 6 7 6 LAFAYETTE 1 2 1 2 3 UNKNOWN - - - 3 - LAKE 58 61 43 40 46 STATEWIDE 3,221 2,983 2,563 2,444 LEE 106 77 80 65 CrashCounty Data 2011 Florida Traffic ; • 5 Year Alcohol Related/Suspected Fatality History COUNff nw ; Bpi C1OiIw f 2W 2S 2UMM 2M 2KI ALACHUA 17 15 11 3 LEON 11 14 10 6 10 BAKER 3 1 6 8 LEVY 7 2 3 3 BAY 22 11 17 9 LIBERTY 1 1 1 1 1 BRADFORD 5 3 1 4 MADISON 4 4 5 - BREVARD 49 30 24 27 31 MANATEE 26 25 17 18 1 BROWARD 90 65 58 41 41 MARION 25 37 26 32 19 CALHOUN 1 2 2 3 MARTIN 11 13 13 8 CHARLOTTE 9 12 11 7 MIAMI-DADE 94 85 74 43 CITRUS 9 11 16 3 MONROE 9 7 14 14 CLAY 10 7 11 6 NASSAU 14 10 6 4 COLLIER 15 8 15 6 OKALOOSA 14 14 11 7 1 COLUMBIA 11 18 10 4 OKEECHOBEE 6 6 6 5 DE SOTO 3 5 5 2 ORANGE 76 77 66 62 DIXIE 3 2 3 1 OSCEOLA 26 23 17 10 16 DUVAL 78 46 49 52 41 PALM BEACH 73 79 62 31 47 ESCAMBIA 38 30 18 21 PASCO 40 36 28 26 FLAGLER 7 16 9 10 PINELLAS 40 51 45 42 51 FRANKLIN 1 1 3 2 POLK 43 38 33 27 31 GADSDEN 3 16 10 2 17 PUTNAM 8 10 11 14 11 GILCHRIST 2 5 1 - 3 SANTA ROSA 15 8 9 11 1 GLADES 2 6 1 - SARASOTA 25 19 18 14 13 GULF 4 1 4 - SEMINOLE 21 13 13 14 21 HAMILTON 1 5 6 6 3 ST.JOHNS 14 20 12 7 HARDEE 3 2 4 6 4 ST.LUCIE 14 12 13 3 HENDRY 4 12 5 3 3 SUMTER 7 6 4 3 HERNANDO 10 6 9 7 6 SUWANNEE 4 1 6 5 HIGHLANDS 5 5 3 7 7 TAYLOR 4 3 2 2 HILLSBOROUGIH 87 77 62 5467 UNION - 4 3 1 HOLMES - 2 3 1 - VOLUSIA 31 49 32 32 33 INDIAN RIVER 9 9 6 6 9 WAKULLA - 6 1 1 JACKSON 7 7 9 3 9 WALTON 7 9 8 7 11 JEFFERSON 2 2 2 2 3 WASHINGTON 3 4 - 2 1 LAFAYETTE - 1 3 UNKNOWN - - - - - LAKE 22 20 16 13 21 STATEWIDE 1,244 1,169t 1,004 794 LEE 39 24 25 20 25 County • • 2011 Florida Traffic Crash • Year • •rcycle Fatality History COUNWz!Q 2m 2 2m 2m ttOtw" 2w Ili � am ALACHUA 7 3 5 1 2 LEON 3 3 4 4 BAKER 2 - - 1 LEVY 1 1 - 2 BAY 4 6 6 3 6 LIBERTY 1 - 1 - BRADFORD 4 - - - MADISON 1 - - - BREVARD 18 16 12 12 15 MANATEE 9 9 7 10 BROWARD 52 37 23 21 38 MARIN 10 16 8 11 CALHOUN - 1 - - MARTIN 1 1 3 3 CHARLOTTE 4 6 4 4 8 MIAMI-DADE 52 44 45 30 CITRUS 7 7 2 4 4 MONROE 5 5 8 1 CLAY 1 6 - 2 1 NASSAU 4 1 - 1 COLLIER 3 6 3 4 3 IN OKALOOSA 2 6 2 2 11 COLUMBIA 1 4 3 3 2 OKEECHOBEE 3 - 2 1 DE SOTO - - 1 1 ORANGE 31 28 25 19 DDQE 1 - - - 1 OSCEOLA 9 11 10 3 DUVAL 30 23 18 20 14, PALM BEACH 31 34 18 23 ESCAMBIA 9 10 6 6 3 PASCO 18 15 7 13 FLAGLER 4 9 2 6 4 PINELLAS 26 27 24 24 FRANKLIN - - - 1 POLK 14 17 9 11 GADSDEN 1 1 - - PUTNAM 5 1 1 1 1 GILCHRIST - 1 - 1 SANTA ROSA 4 1 3 2 GLADES 1 - 1 - 1 SARASOTA 11 9 7 5 GULF - - 1 - SEMINOLE 9 4 9 5 HAMILTON - - - - ST.JOHNS 8 9 2 4 11 HARDEE 1 1 1 2 1 ST.LUCIE 4 6 4 2 HENDRY - 1 1 - 1 SUMTER 3 2 2 5 HERNANDO 8 7 1 3 12 SUWANNEE 2 - - - 1 HIGHLANDS 3 7 2 2 3 TAYLOR - 1 3 HILLSBOROUGH 27 31 27 23 34 UNION - 1 2 - 1 HOLMES - - - - 1 VOLUSIA 23 30 22 24 1 INDIAN RIVER 3 3 1 4 4 WAKULLA - 2 2 1 JACKSON 2 - 1 1 WALTON 2 2 1 3 1 JEFFERSON - - - - 1 WASHINGTON 1 2 1 1 - LAFAYETTE - - - - UNKNOWN - - - - LAKE 8 8 9 4 STATEWIDE 517 502 376 350 413 LEE 23 20 14 11 1 County . . . 2011 Florida Traffic Crash Statistics Year . . Injury History - dxwff Uff sus U UN Un CCKHM 2W 2M M 2011 ALACHUA 119 115 128 125 97 LEON 104 138 122 105 111 BAKER 9 8 3 8 5 LEVY 25 15 11 18 1 BAY 93 142 129 127 129 LIBERTY 2 4 5 3 1 BRADFORD 8 15 11 8 5 MADISON 5 8 10 7 BREVARD 246 296 232 209 184 MANATEE 116 133 111 111 BROWARD 646 690 623 525 538 MARION 194 183 132 136 Lis CALHOUN 3 - 4 43. MARTIN 52 66 49 77 48 CHARLOTTE 87 1 72 78 55 76 MIAMI-DADE 904 841 727 626 CITRUS 72 91 70 70 82 MONROE 189 214 205 199 166 CLAY 50 87 81 69 51 NASSAU 37 37 21 20 25 COLLIER 60 86 74 72 q OKALOOSA 83 77 77 63 87 COLUMBIA 24 31 22 1 21 21 OKEECHOBEE 21 23 12 11 l 6 DE SOTO 7 13 6 16 ORANGE 531 538 493 429 DDCIE 4 7 3 4 OSCEOLA 125 125 98 85 DUVAL 384 494 385 336 351 PALM BEACH 408 359 350 315 319 ESCAMBIA 155 127 123 123 IM PASCO 251 271 215 210 217. FLAGLER 61 67 62 54 54 PINELLAS 449 473 444 391 427 FRANKLIN 3 4 3 1 3 POLK 259 236 1 210 178 GADSDEN 7 8 6 10 6 PUTNAM 55 46 34 25 38 GILCHRIST 5 5 2 9 1 SANTA ROSA 59 79 45 55 GLADES 3 3 6 6 5 SARASOTA 130 141 121 120 135 GULF 3 3 2 1 7 SEMINOLE 135 137 126 96 118 HAMILTON 3 2 6 7 3. ST.JOHNS 122 75 97 50 95 HARDEE 12 6 9 13 ST.LUCIE 83 105 76 69 85 HENDRY 13 15 12 6 7 SUMTER 34 29 18 27 30 HERNANDO 99 122 113 94 97 SUWANNEE 11 17 11 13 13 HIGHLANDS 35 21 32 34 32, TAYLOR 9 9 12 3 HILLSBOROUGH 588 584 482 404 565 UNION 1 5 2 2 HOLMES 5 4 6 7 4 VOLUSIA 517 500 482 455 395 INDIAN RIVER 46 46 49 32 41 WAKULLA 7 18 12 9 JACKSON 13 17 15 14 13 WALTON 30 26 23 27 30 JEFFERSON 1 6 4 7 2 WASHINGTON 5 5 5 8 LAFAYETTE 1 1 - 3 1 UNKNOWN 2 - - - I 1 LAKE 143 151 126 108 1281 STATEWIDE 8,186 8,519 7,435 6,686 7,= LEE 223 247 172 161 1 CrashCounty Data 2011 Florida Traffic • Year • - •l Motor Vehicle History couwff MV i 2r! 2M 2R1 C'+OUNff 2W 2M 2W9 2M 29n ALACHUA 317 294 276 222 LEON 300 258 217 205 BAKER 28 29 31 34 13 LEVY 47 23 26 28 BAY 170 127 154 160 LIBERTY 16 7 8 2 BRADFORD 47 37 31 36 16 MADISON 34 48 31 33 23 BREVARD 311 328 341 301 196 MANATEE 302 250 217 232 157 BROWARD 1,905 1,659 1,470 1,463 MARION 360 308 301 253 207 CALHOUN 11 21 4 15 11MARTIN 133 119 134 110 CHARLOTTE 144 95 84 90 MIAMI-DADE 2,899 2,733 2,419 2,389 zws CITRUS 52 49 52 39 31MONROE 102 90 76 62 65 CLAY 99 88 72 % 34NASSAU 75 82 64 73 COLLIER 231 174 119 109 84OKALOOSA 101 83 100 81 66 COLUMBIA 91 105 91 105 IMOKEECHOBEE 58 55 43 47 25 DE SOTO 35 26 28 26 210RANGE 1,333 1,078 959 823 DDQE 10 9 13 6 OSCEOLA 282 217 190 195 110 DUVAL 1,195 1,182 999 976 PALM BEACH 1,236 1,021 870 882 ESCAMBIA 234 203 1 177 158 WIPASCO 379 348 257 258 FLAGLER 70 58 62 64 44PINELLAS 716 639 701 713 FRANKLIN 3 6 6 6 POLK 718 682 537 522 37 GADSDEN 67 54 44 71 PUTNAM 93 60 47 50 46 GILCHRIST 7 5 3 8 SANTA ROSA 93 65 84 61 45. GLADES 35 28 28 20 SARASOTA 286 204 170 186 GULF 5 7 8 3 SEMINOLE 198 152 135 128 HAMILTON 24 32 30 38 ST.JOHNS 180 159 148 126 HARDEE 45 60 31 36 IST.LUCIE 220 205 171 178 150 HENDRY 53 43 40 35 SUMTER 154 124 90 107 so HERNANDO 123 90 91 74 91SUWANNEE 40 49 39 35 33 HIGHLANDS 89 65 66 64 47 TAYLOR 27 24 22 19 1 HILLSBOROUGH 1,504 1,300 1,092 992 WO UNION 13 11 11 13 HOLMES 18 18 13 10 9 VOLUSIA 415 366 312 311 252 INDIAN RIVER 111 115 69 80 49.WAKULLA 15 8 12 12 JACKSON 66 59 47 52 36 WALTON 48 57 39 42 40 JEFFERSON 21 21 19 18 13 WASHINGTON 21 12 19 11 1 LAFAYETTE 9 6 8 4 4UNKNOWN 4 - - - LAKE 255 237 200 185 1 STATEWIDE 1 18,821 16,517 14,551 14,057 LEE 538 350 303 274 CrashCounty Data 2011 Florida Traffic • 5 Year Commercial Motor Vehicle Fatality History MW 2M6 =! =W 2M CONY 2w'2Ms no 2M 2M ALACHUA 10 7 5 5 2 LEON - 4 - 6 BAKER - 3 1 1 4 LEVY 2 - 3 1 2 BAY - - 2 2 L LIBERTY - - - - BRADFORD 2 1 1 - 2 MADISON 4 3 1 1 BREVARD 6 5 4 3 9 MANATEE 7 8 2 2 BROWARD 22 19 15 23 10 MARIN 9 12 8 7 CALHOUN - - - - MARTIN 2 4 1 3 CHARLOTTE 3 1 3 1 2 MIAMI-DADE 39 34 19 17 CITRUS 1 - 4 - 2 MONROE 1 1 4 2 CLAY 4 - 2 3 1 NASSAU 6 4 5 11 COLLIER 8 8 2 12 OKALOOSA - 7 2 2 1 COLUMBIA 2 3 4 4 OKEECHOBEE 3 2 3 2 DE SOTO - 3 2 1 ORANGE 23 16 13 7 22 DDQE - - 3 1 OSCEOLA 9 10 6 6 DUVAL 16 14 9 9 PALM BEACH 27 20 12 11 ESCAMBIA 7 3 3 1 4 PASCO 7 10 8 8 FLAGLER 1 2 1 1 2 PINELLAS 7 9 2 4 FRANKLIN - - - - POLK 26 34 12 13 GADSDEN - 2 3 4 PUTNAM 4 2 1 - 1 GILCHRIST - 1 - 1 SANTA ROSA 4 - 4 1 GLADES 1 9 1 2 SARASOTA 11 2 3 2 GULF - - - - I 1.SEMINOLE 1 3 - 3 HAMILTON 1 1 - 2 ST.JOHNS 1 6 1 5 HARDEE - 1 2 1 2 4 ST.LUCIE 8 2 1 5 HENDRY - 2 1 1 2 SUMTER 6 4 1 6 HERNANDO 5 2 5 1 SUWANNEE 2 - 3 3 1 HIGHLANDS 6 2 8 6 2 TAYLOR 1 - - 2 HILLSBOROUGH 16 16 15 11 10 UNION 2 1 - 2 HOLMES - - - - VOLUSIA 11 7 6 6 INDIAN RIVER 2 3 3 1 I WAKULLA 2 - - 1 JACKSON 2 1 1 - WALTON 3 5 2 5 1 JEFFERSON 1 3 3 1 WASHINGTON 1 - 3 3 1 LAFAYETTE - - - - ISTATEWIDE UNKNOWN - - - - LAKE 9 12 44 365 343 244 237 LEE 11 8 12 2 5 CrashCounty Data 2011 Florida Traffic • Year Bicyclist FatalityHistory COUNW my no 2n 2m COUMY 2w 2m 280 2m 2m ALACHUA 5 4 3 2 LEON - 3 - 1 BAKER - - - - LEVY - BAY 1 - 3 1 2 LIBERTY - - - - BRADFORD - 1 1 - 1 MADISON - - - - BREVARD 7 1 1 4 MANATEE 1 1 1 1 BROWARD 6 12 10 5 13 MARION 4 6 1 1 1 CALHOUN - - - - MARTIN - 6 1 - CHARLOTTE 2 - - 1 2 MIAMI-DADE 12 5 12 7 CITRUS - - 1 1 MONROE 2 1 1 3 CLAY - 1 1 1 NASSAU - - 1 - COLLIER 3 4 1 1 1OKALOOSA 3 1 - - COLUMBIA - - - - OKEECHOBEE - 1 - - DESOTO - 1 - - ORANGE 14 9 6 4 DDQE - - - - 1 OSCEOLA 1 1 - 2 1 DUVAL 10 4 4 7 5 PALM BEACH 10 8 11 4 19 ESCAMBIA 2 2 4 2 PASCO 4 2 4 5 FLAGLER - 1 - 1 PINELLAS 4 10 10 2 FRANKLIN - - - - POLK 3 3 3 2 GADSDEN - - - - PUTNAM - 2 1 - GILCHRIST - 1 - - SANTA ROSA 1 - 1 2 GLADES - - - - SARASOTA 5 3 1 - GULF - - - - SEMINOLE - 2 - 1 HAMILTON - - - - ST.JOHNS 1 2 1 1 HARDEE - - - - ST.LUCIE 1 2 - - HENDRY 1 2 - - SUMTER 1 - - - 1 HERNANDO 1 2 2 - 1 SUWANNEE - - - - HIGHLANDS - - - 1 TAYLOR 1 - - 1 HILLSBOROUGH 6 4 6 11 7 UNION - - - - HOLMES - - - - VOLUSIA 3 3 1 4 INDIAN RIVER - - 1 1 2 WAKULLA - - - - JACKSON - - - - WALTON - JEFFERSON - - - - WASHINGTON - - - - LAFAYETTE - - - - UNKNOWN - - - - LAKE 2 - 1 2 -STATEWIDE 121 118 99 76 LEE 4 6 4 3 5 CrashCounty Data 2011 Florida Traffic ' • Year Bicyclist Injury History ALACHUA 97 102 105 92 LEON 63 68 61 65 55 BAKER 1 3 1 4 LEVY 3 1 2 1 BAY 41 39 40 48 36 LIBERTY - 1 1 2 I BRADFORD 3 1 3 2 2 MADISON - 2 - 1 BREVARD 115 130 112 112 IZ MANATEE 100 99 101 106 I BROWARD 467 515 505 549 MARION 44 51 42 36 46 CALHOUN - - - - MARTIN 46 49 46 47 32 CHARLOTTE 49 27 34 40 51 MIAMI-DADE 403 454 452 530 CITRUS 13 7 9 10 VIMONROE 70 70 86 95 CLAY 20 27 22 34 41NASSAU 10 5 5 16 COLLIER 117 91 72 90 OKALOOSA 42 21 27 34 COLUMBIA 9 8 4 10 11OKEECHOBEE 6 8 3 6 DE SOTO 6 3 3 5 ORANGE 285 280 284 295 351 DIXIE 2 2 1 1 OSCEOLA 35 41 27 54 38 DUVAL 214 211 214 193 PALM BEACH 336 335 335 364 372 ESCAMBIA 77 80 82 68 PASCO ill 125 124 130 in FLAGLER 18 15 6 11 PINELLAS 430 450 449 368 376 FRANKLIN - 1 - - POLK 77 85 91 108 74 GADSDEN 3 3 4 4 3 PUTNAM 4 7 11 5 GILCHRIST - - - - SANTA ROSA 11 9 17 11 GLADES - - - 1 ISARASOTA 87 123 113 116 GULF - - 1 1 1 SEMINOLE 59 62 78 64 HAMILTON 1 - 1 - ST.JOHNS 43 44 57 38 HARDEE 2 2 3 2 ST.LUCIE 46 46 51 54 55 HENDRY 2 2 2 2 4 SUMTER 7 9 4 5 HERNANDO 28 23 14 13 27 SUWANNEE 5 5 1 3 HIGHLANDS 9 7 8 11 5TAYLOR 2 3 2 3. - HILLSBOROUGH 367 321 346 377 353 UNION - 1 - - I HOLMES - - - 1 VOLUSIA 161 138 147 174 144 INDIAN RIVER 27 21 29 25 19 WAKULLA 1 4 3 1 JACKSON 2 3 2 1 3 WALTON 4 10 7 9 JEFFERSON 1 1 1 - WASHINGTON 1 1 1 - I LAFAYETTE - - - - UNKNOWN - I - - - LAKE 28 30 18 30 28STATEWIDE 1 4,303 4,380 4,376 4,600 LEE 92 98 106 125 CountyD• • 2011 Crash • Teen ( 15-19) Drivers and Passengers Killed by County cmmt3' CaNg Alachua 1 Lee 6 Baker - Leon 1 Bay 1 Levy - Bradford - Liberty 1 Brevard 4 Madison - Broward 12 Manatee 4 Calhoun 3 Marion 3 Charlotte 1 Martin 4 Citrus 1 Miami-Dade 14 Clay - Monroe 2 Collier 6 Nassau 1 Columbia 3 Okaloosa 4 DeSoto - Okeechobee - Dixie - Orange 4 Duval 3 Osceola 4 Escambia 3 Palm Beach 9 Flagler 2 Pasco 3 Franklin - Pinellas 3 Gadsden 1 Polk 8 Gilchrist - Putnam 2 Glades 1 Santa Rosa 3 Gulf - Sarasota 5 Hamilton 1 Seminole 3 Hardee 1 St.Johns - Hendry 1 St.Lucie 1 Hernando 2 Sumter - Highlands - Suwannee 2 Hillsborough 4 Taylor - Holmes - Union - Indian River 1 Volusia 3 Jackson 3 Wakulla - Jefferson 1 Walton - Lafayette - Washington 2 Lake 6 Statewide Tote 154 County Data 2011 Florida Traffic Crash Statistics 5 Year Pedestrian Fatality History ALACHUA 6 2 5 4 LEON 3 2 6 10 BAKER 4 LEVY 2 1 3 - BAY 7 61 8 11 7 LIBERTY - - - - BRADFORD - - 1 2 MADISON - - - - BREVARD 10 18 11 13 13 MANATEE 8 7 13 8 BROWARD 65 51 46 53 301MARION 12 10 8 12 CALHOUN - - 1 1 MARTIN 3 3 6 1 CHARLOTTE 5 4 4 1 MIAMI-DADE 76 66 65 76 CITRUS 3 2 2 3 MONROE 4 7 4 4 CLAY 3 - 2 14 NASSAU 5 2 1 2 COLLIER 7 4 5 6 OKALOOSA 3 1 3 7 COLUMBIA 4 4 1 2 OKEECHOBEE - 1 1 2 DE SOTO 1 2 - 1 ORANGE 40 28 32 43 DDQE - 1 - - OSCEOLA 7 10 5 3 DUVAL 32 16 25 22 21 PALM BEACH 33 32 39 21 ESCAMBIA 8 6 8 10 15 PASCO 17 17 13 11 FLAGLER - 4 1 1 PINELLAS 29 25 30 22 FRANKLIN - - - - POLK 10 26 17 13 GADSDEN 4 3 2 1 T PUTNAM 1 2 4 4 GILCHRIST - 1 - - SANTA ROSA 2 6 1 3 GLADES - - - - SARASOTA 3 8 6 7 GULF - - - - I SEMINOLE 7 8 5 11 15 HAMILTON - - - - 1 ST.JOHNS 3 5 8 5 HARDEE 1 1 2 3 ST.LUCIE 2 5 6 3 HENDRY - 1 2 1 SUMTER 1 2 - 3 HERNANDO 2 5 4 2 4 SUWANNEE 2 - - - 1 HIGHLANDS 2 3 2 5 3 TAYLOR 1 - - - HILLSBOROUGH 47 47 32 42 32 UNION 2 - - 1 HOLMES - - - - VOLUSIA 14 15 20 26 11 INDIAN RIVER 2 8 1 2 2 WAKULLA - 1 - - JACKSON 1 2 1 - 1 WALTON 2 - - 1 JEFFERSON 1 - - 1 1 WASHINGTON - - 2 - LAFAYETTE - - - - -UNKNOWN - - - 2 LAKE 8 10 3 9 11 STATEWIDE 530 502 482 499 LEE 19 11 15 13 CrashCounty Data 2011 Florida Traffic • Year PedestrianHistory 2W ?i 2W 2M! 2MI COUNTY 2W 20M 2W 2M! 2M ALACHUA 103 140 115 113 LEON 120 133 142 131 BAKER 9 4 6 2 LEVY 5 14 9 8 II BAY 90 94 71 8459 LIBERTY 1 - 1 1 BRADFORD 8 6 3 7 4 MADISON 3 2 5 7 BREVARD 121 163 205 167 104 MANATEE 135 121 146 147 im BROWARD 918 1,005 950 968 531MARION 99 95 94 88 CALHOUN 1 2 3 22 MARTIN 29 32 30 27 31 CHARLOTTE 41 39 63 55 43 MIAMI-DADE 1,338 1,466 1,390 1,306 CITRUS 28 25 33 26 12 MONROE 36 45 51 39 45 CLAY 54 61 36 44 42.NASSAU 22 12 19 16 II COLLIER 113 101 87 76 640KALOOSA 50 49 44 42 57 COLUMBIA 14 17 10 22 16 OKEECHOBEE 15 17 8 15 DE SOTO 12 7 10 12 ORANGE 506 569 523 509 419 DIXIE 1 - 2 2 OSCEOLA ill 86 112 115 DUVAL 407 335 361 320 347 PALM BEACH 566 583 560 550 ESCAMBIA 108 131 125 121 IM PASCO 146 171 146 148 FLAGLER 32 19 29 20 14 PINELLAS 403 460 480 436 FRANKLIN 1 - 1 6 POLK 178 167 193 178 GADSDEN 8 8 8 7 6 PUTNAM 28 34 26 35 GILCHRIST - 2 2 - SANTA ROSA 25 33 23 25 GLADES 2 3 2 3 I SARASOTA 136 106 110 125 1211 GULF 2 2 2 7 I SEMINOLE ill 112 99 76 HAMILTON 3 4 1 5 3 ST.JOHNS 60 48 47 22 HARDEE 5 2 8 3 51ST.LUCIE 87 78 68 74 HENDRY 16 9 8 7 12 SUMTER 14 11 21 15 HERNANDO 36 44 42 41 55 SUWANNEE - 7 2 11 17 HIGHLANDS 10 16 21 15 24 TAYLOR 5 3 2 5 HILLSBOROUGH 557 618 578 496 499 UNION 1 4 1 1 HOLMES - - 1 2 3 VOLUSIA 230 230 211 194 M. 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Cl O, 00 z fa En1-4 0 9 tl C z O O 0 0 .a w A P, 000A 2011 FloridaTraffic ' Crash • Alcohol Related Crash Rates by Locality Cony � CrT��s Ra�ed� S spex�edJR+e�a�ed czashm Crashes Alachua Alachua 121 11 9.09 Alachua Archer 30 2 6.67 Alachua Gainesville 2,546 203 7.97 Alachua Hawthorne 33 3 9.09 Alachua High Springs 64 4 6.25 Alachua La Crosse 6 2 33.33 Alachua Micanopy 27 1 3.70 Alachua Newberry 38 2 5.26 Alachua Unincorporated 801 40 4.99 Alachua University of Florida 49 5 10.20 Alachua Unknown 68 8 11.76 Alachua Waldo 15 2 13.33 Baker Glen St.Mary 8 1 12.50 Baker Macclenny 31 4 12.90 Baker Unincorporated 205 36 17.56 Bay Bayview 1 - 0.00 Bay Calloway 65 10 15.38 Bay Cedar Grove 3 - 0.00 Bay Lynn Haven 122 10 8.20 Bay Mexico Beach 7 - 0.00 Bay Panama City 1,345 134 9.96 Bay Panama City Beach 304 39 12.83 Bay Parker 28 2 7.14 Bay Springfield 96 12 12.50 Bay Tyndall AFB 2 - 0.00 Bay Unincorporated 1,068 179 16.76 Bay Unknown 2 - 0.00 Bradford Booker 1 - 0.00 Bradford Hampton 4 - 0.00 Bradford Lawtey 4 - 0.00 Bradford Starke 52 4 7.69 Bradford Unincorporated 141 24 17.02 Brevard Cape Canaveral 61 14 22.95 Brevard Cocoa 290 20 6.90 i Florida2011 Crash Statistics Alcohol Related Crash Rates by Locality Brevard Cocoa Beach 197 23 11.68 Brevard Indialantic 17 3 17.65 Brevard Indian Harbour Beach 28 5 17.86 Brevard Malabar 15 3 20.00 Brevard Melbourne 634 86 13.56 Brevard Melbourne AA 2 - 0.00 Brevard Melbourne Beach 11 1 9.09 Brevard Melbourne Village 1 - 0.00 Brevard Merritt Island 254 19 7.48 Brevard Mims 32 3 9.38 Brevard Palm Bay 106 15 14.15 Brevard Patrick AFB 1 1 100.00 Brevard Rockledge 113 13 11.50 Brevard Satellite Beach 59 12 20.34 Brevard South Patrick Shores 5 - 0.00 Brevard Titusville 483 34 7.04 Brevard Unincorporated 1,911 152 7.95 Brevard West Melbourne 128 10 7.81 Broward Coconut Creek 831 51 6.14 Broward Cooper City 277 12 4.33 Broward Coral Springs 1,300 47 3.62 Broward Dania Beach 434 17 3.92 Broward Davie 2,578 129 5.00 Broward Deerfield Beach 1,024 56 5.47 Broward Fort Lauderdale 2,845 182 6.40 Broward Hacienda 1 - 0.00 Broward Hallandale 622 28 4.50 Broward Hillsboro Beach 3 - 0.00 Broward Hollywood 2,624 102 3.89 Broward Lake Forest 1 - 0.00 Broward Lauderdale by the Sea 47 3 6.38 Broward Lauderdale Lakes 346 13 3.76 Broward Lauderhill 426 12 2.82 Broward Lighthouse Point 143 10 6.99 Broward Margate 96 7 7.29 Broward Melrose Park 1 - 0.00 Broward Miramar 587 45 7.67 2011 FloridaTraffic ' Crash • Alcohol Related Crash Rates by Locality Broward North Lauderdale 263 9 3.42 Broward Oakland Park 889 63 7.09 Broward Parkland 48 5 10.42 Broward Pembroke Park 134 7 5.22 Broward Pembroke Pines 1,380 57 4.13 Broward Plantation 1,168 35 3.00 Broward Pompano Beach 1,659 100 6.03 Broward Pompano Beach Highlands 1 1 100.00 Broward Seminole Indian Reservation 128 13 10.16 Broward Sunrise 762 50 6.56 Broward Tamarac 710 45 6.34 Broward Unincorporated 1,307 72 5.51 Broward West Park 116 3 2.59 Broward Weston 289 10 3.46 Broward Wilton Manors 148 24 16.22 Calhoun Altha 1 1 100.00 Calhoun Blountstown 14 1 7.14 Calhoun Unincorporated 107 18 16.82 Calhoun Unknown 1 - 0.00 Charlotte Englewood 111 9 8.11 Charlotte Port Charlotte 496 29 5.85 Charlotte Punta Gorda 229 21 9.17 Charlotte Unincorporated 477 37 7.76 Charlotte Unknown 1 - 0.00 Citrus Crystal River 81 10 12.35 Citrus Homosassa Springs 12 2 16.67 Citrus Inverness 105 8 7.62 Citrus Unincorporated 800 90 11.25 Clay Green Cove Springs 57 6 10.53 Clay Keystone Heights 17 1 5.88 Clay Middleburg 27 3 11.11 Clay Orange Park 114 10 8.77 Clay Penny Farms 4 1 25.00 Clay Unincorporated 1,175 104 8.85 Collier East Naples 217 34 15.67 Collier Everglades 2 - 0.00 Collier jImmolakee 1061 121 11.32 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Collier Marco Island 81 15 18.52 Collier Naples 240 17 7.08 Collier North Naples 238 50 21.01 Collier Unincorporated 907 141 15.55 Columbia Fort White 4 - 0.00 Columbia Lake City 370 22 5.95 Columbia Unincorporated 726 76 10.47 DeSoto Arcadia 83 9 10.84 DeSoto Unincorporated 182 28 15.38 Dixie Cross City 3 - 0.00 Dixie Horseshoe Beach 2 - 0.00 Dixie Unincorporated 123 17 13.82 Duval Atlantic Beach 125 31 24.80 Duval Baldwin 9 1 11.11 Duval Bayard 3 - 0.00 Duval Dinsmore 4 - 0.00 Duval Jacksonville 11,747 954 8.12 Duval Jacksonville Beach 466 59 12.66 Duval Jacksonville Duval County Sch4 21 1 4.76 Duval Jacksonville NAS 5 - 0.00 Duval Mandarin 1 - 0.00 Duval Neptune Beach 41 11 26.83 Duval Unincorporated 78 1 1.28 Duval University of North Florida 31 5 16.13 Escambia Brent 14 1 7.14 Escambia Cantonment 36 8 22.22 Escambia Century 5 - 0.00 Escambia Myrtle Grove 22 1 4.55 Escambia Pensacola 1,064 157 14.76 Escambia Saufley Field NAS 1 - 0.00 Escambia Unincorporated 3,681 355 9.64 Escambia University of West Florida 6 1 16.67 Escambia Warrington 43 7 16.28 Escambia West Pensacola 26 1 3.85 Flagler Bunnell 69 7 10.14 Flagler Flagler Beach 29 3 10.34 Flagler IMarineland 1 - 0.00 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Flagler Palm Coast 395 54 13.67 Flagler Unincorporated 125 24 19.20 Franklin Apalachicola 3 - 0.00 Franklin Carrabelle 9 3 33.33 Franklin Eastpoint 21 3 14.29 Franklin Unincorporated 59 14 23.73 Gadsden Chattahoochee 12 2 16.67 Gadsden Greensboro 4 - 0.00 Gadsden Gretna 4 2 50.00 Gadsden Havana 7 - 0.00 Gadsden Midway 44 2 4.55 Gadsden Quincy 24 1 4.17 Gadsden Unincorporated 336 45 13.39 Gilchrist Bell 2 - 0.00 Gilchrist Fanning Springs 1 1 100.00 Gilchrist Trenton 10 1 10.00 Gilchrist Unincorporated 113 10 8.85 Glades Moore Haven 13 - 0.00 Glades Unincorporated 90 9 10.00 Gulf Port Saint Joe 18 4 22.22 Gulf Unincorporated 62 15 24.19 Gulf Wewahitchka 4 2 50.00 Hamilton Jasper 16 2 12.50 Hamilton Jennings 3 - 0.00 Hamilton Unincorporated 178 13 7.30 Hamilton White Springs 3 - 0.00 Hardee Bowling Green 21 5 23.81 Hardee Unincorporated 165 11 6.67 Hardee Wauchula 97 10 10.31 Hardee Zolfo Springs 25 1 4.00 Hendry Clewiston 62 4 6.45 Hendry La Belle 41 4 9.76 Hendry Unincorporated 159 26 16.35 Hernando Brooksville 142 10 7.04 Hernando Unincorporated 1,297 131 10.10 Hernando Unknown 397 29 7.30 Hernando lWeekiwachee 3 1 - 0.00 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Highlands Avon Park 77 7 9.09 Highlands Lake Placid 57 6 10.53 Highlands Sebring 143 8 5.59 Highlands Unincorporated 405 44 10.86 Hillsborough Brandon 157 9 5.73 Hillsborough Clair-Mel 4 - 0.00 Hillsborough Lake Magdalene 1 - 0.00 Hillsborough Palm River/Clair Mel 3 - 0.00 Hillsborough Plant City 280 16 5.71 Hillsborough Ruskin 22 - 0.00 Hillsborough Tampa 5,260 481 9.14 Hillsborough Tampa International Airport 60 7 11.67 Hillsborough Temple Terrace 227 15 6.61 Hillsborough Unincorporated 11,926 910 7.63 Hillsborough University of South Florida 62 1 1.61 Hillsborough University of Tampa 2 - 0.00 Holmes Bonifay 4 - 0.00 Holmes Eto 3 - 0.00 Holmes Ponce De Leon 3 - 0.00 Holmes Unincorporated 164 18 10.98 Holmes Westville 2 - 0.00 Indian River Fellsmere 4 - 0.00 Indian River Indian River Shores 8 2 25.00 Indian River Sebastian 78 11 14.10 Indian River Unincorporated 566 54 9.54 Indian River Vero Beach 144 23 15.97 Jackson Alford 1 - 0.00 Jackson Cottondale 1 - 0.00 Jackson Graceville 5 - 0.00 Jackson Grand Ridge 4 - 0.00 Jackson Malone 1 - 0.00 Jackson Marianna 58 4 6.90 Jackson Sneads 3 1 33.33 Jackson Unincorporated 442 46 10.41 Jefferson Monticello 6 2 33.33 Jefferson Unincorporated 173 18 10.40 Lafayette Mayo 3 - 0.00 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Lafayette Unincorporated 33 6 18.18 Lake Astula 9 - 0.00 Lake Clermont 378 25 6.61 Lake Eustis 214 13 6.07 Lake Fruitland Park 60 6 10.00 Lake Groveland 128 12 9.38 Lake Howey-in-the-Hills 8 - 0.00 Lake Lady Lake 162 12 7.41 Lake Leesburg 356 32 8.99 Lake Mascotte 16 1 6.25 Lake Minneola 26 1 3.85 Lake Montverde 9 1 11.11 Lake Mount Dora 187 13 6.95 Lake Tavares 121 12 9.92 Lake Umatilla 52 6 11.54 Lake Unincorporated 705 64 9.08 Lee Bonita Springs 159 36 22.64 Lee Cape Coral 1,006 116 11.53 Lee Fort Myers 1,237 162 13.10 Lee Fort Myers Beach 50 20 40.00 Lee Fort Myers SW 1 - 0.00 Lee Fort Myers Village/Pin Mn 2 - 0.00 Lee Lee County Airport Police 6 1 16.67 Lee Lehigh Acres 181 20 11.05 Lee North Fort Myers 28 3 10.71 Lee Sanibel 5 - 0.00 Lee Tice 3 - 0.00 Lee Unincorporated 1,736 218 12.56 Leon Florida A&M University 45 - 0.00 Leon Florida State University 33 5 15.15 Leon Tallahassee 3,839 248 6.46 Leon Unincorporated 991 105 10.60 Leon Unknown 3 - 0.00 Levy Bronson 14 4 28.57 Levy Cedar Key 2 2 100.00 Levy Chiefland 69 2 2.90 Levy Fanning Springs 6 - 0.00 2011 FloridaTraffic ' Crash • Alcohol Related Crash Rates by Locality Levy Inglis 9 1 11.11 Levy Otter Creek 1 - 0.00 Levy Unincorporated 317 42 13.25 Levy Williston 27 5 18.52 Levy Yankeetown 2 - 0.00 Liberty Bristol 11 1 9.09 Liberty Unincorporated 64 10 15.63 Madison Greenville 4 1 25.00 Madison Lee 4 1 25.00 Madison Madison 35 3 8.57 Madison Unincorporated 239 28 11.72 Manatee Anna Maria 5 1 20.00 Manatee Bayshore Gardens 4 - 0.00 Manatee Bradenton Z475 144 5.82 Manatee Bradenton Beach 7 3 42.86 Manatee Holmes Beach 34 1 2.94 Manatee Longboat Key 7 - 0.00 Manatee Palmetto 471 28 5.94 Manatee Parrish 33 2 6.06 Manatee Unincorporated 721 82 11.37 Manatee West Bradenton 302 26 8.61 Marion Belleview 118 8 6.78 Marion Dunnellon 9 - 0.00 Marion Ocala 1,124 72 6.41 Marion Reddick 1 - 0.00 Marion Silver Springs Shore 1 - 0.00 Marion Unincorporated Z535 189 7.46 Marion West End 1 - 0.00 Martin Hobe Sound 64 13 20.31 Martin Indiantown 38 16 42.11 Martin Jensen Beach 130 22 16.92 Martin Jupiter Island 2 - 0.00 Martin Palm City 96 9 9.38 Martin Port Salerno 17 8 47.06 Martin Sewalls Point 33 2 6.06 Martin Stuart 325 47 14.46 Martin Unincorporated 494 47 9.51 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Martin Unknown 3 2 66.67 Miami-Dade Aventura 691 22 3.18 Miami-Dade Bal Harbour 54 3 5.56 Miami-Dade Bay Harbor Islands 31 4 12.90 Miami-Dade Biscayne Gardens 2 - 0.00 Miami-Dade Biscayne Park 13 2 15.38 Miami-Dade Bunche Park 1 - 0.00 Miami-Dade Carol City 5 - 0.00 Miami-Dade Coconut Grove 319 20 6.27 Miami-Dade Coral Gables 1,295 57 4.40 Miami-Dade Cutler Ridge 46 - 0.00 Miami-Dade Dade County School PD 81 1 1.23 Miami-Dade Doral 1,116 35 3.14 Miami-Dade El Portal 8 - 0.00 Miami-Dade Florida City 46 4 8.70 Miami-Dade Florida International Universi 34 - 0.00 Miami-Dade Golden Glades 7 1 14.29 Miami-Dade Goulds 15 - 0.00 Miami-Dade Hialeah 3,830 147 3.84 Miami-Dade Hialeah Gardens 346 12 3.47 Miami-Dade Homestead 527 69 13.09 Miami-Dade Indian Creek Village 1 - 0.00 Miami-Dade Kendall 471 13 2.76 Miami-Dade Key Biscayne 68 1 1.47 Miami-Dade Leisure City 1 - 0.00 Miami-Dade Medley 127 3 2.36 Miami-Dade Miami 8,052 294 3.65 Miami-Dade Miami Beach 2,247 197 8.77 Miami-Dade Miami Gardens 1,889 63 3.34 Miami-Dade Miami Lakes 437 14 3.20 Miami-Dade Miami Shores 16 2 12.50 Miami-Dade Miami Springs 45 3 6.67 Miami-Dade Miami TP 1,046 18 1.72 Miami-Dade Miccosukee Indian Reservation 26 3 11.54 Miami-Dade Naranja 14 - 0.00 Miami-Dade North Bay 1 - 0.00 Miami-Dade North Bay Village 48 5 10.42 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Miami-Dade North Miami 1,293 54 4.18 Miami-Dade North Miami Beach 694 38 5.48 Miami-Dade Ojus 1 - 0.00 Miami-Dade Opa Locka 55 1 1.82 Miami-Dade Palmetto Bay 254 15 5.91 Miami-Dade Perrine 7 - 0.00 Miami-Dade Pine Crest Village 348 6 1.72 Miami-Dade Pinewood 5 1 20.00 Miami-Dade Richmond Heights 36 1 2.78 Miami-Dade South Miami 256 17 6.64 Miami-Dade South Miami Heights 5 - 0.00 Miami-Dade Sunny Isles 209 12 5.74 Miami-Dade Surfside 63 - 0.00 Miami-Dade Sweetwater 505 17 3.37 Miami-Dade Uleta 2 - 0.00 Miami-Dade Unincorporated 15,253 633 4.15 Miami-Dade Unincorporated County 6 - 0.00 Miami-Dade University of Miami 8 1 12.50 Miami-Dade Unknown 5 1 20.00 Miami-Dade Virginia Gardens 18 - 0.00 Miami-Dade West Miami 174 7 4.02 Miami-Dade Westwood Lakes 3 - 0.00 Monroe Boca Chica 1 - 0.00 Monroe Islamorada 129 15 11.63 Monroe Key Colony Beach 2 - 0.00 Monroe Key Largo 141 8 5.67 Monroe Key West 483 84 17.39 Monroe Layton 4 - 0.00 Monroe Marathon 143 12 8.39 Monroe Plantation 7 3 42.86 Monroe Tavernier 29 3 10.34 Monroe Unincorporated 322 44 13.66 Nassau Callahan 27 5 18.52 Nassau Fernandina Beach 17 4 23.53 Nassau Hilliard 21 3 14.29 Nassau Unincorporated 341 31 9.09 Nassau Yulee 15 2 13.33 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Okaloosa Cinco Bayou 4 1 25.00 Okaloosa Crestview 289 14 4.84 Okaloosa Destin 199 45 22.61 Okaloosa Fort Walton Beach 205 31 15.12 Okaloosa Laurel Hill 2 1 50.00 Okaloosa Mary Esther 26 4 15.38 Okaloosa Niceville 81 4 4.94 Okaloosa Ocean City 1 - 0.00 Okaloosa Okaloosa County Airport 1 - 0.00 Okaloosa Shalimar 15 2 13.33 Okaloosa Unincorporated 1,249 145 11.61 Okaloosa Valparaiso 10 2 20.00 Okeechobee Okeechobee 88 4 4.55 Okeechobee Unincorporated 223 24 10.76 Orange Apopka 319 54 16.93 Orange Bay Lake 12 1 8.33 Orange Belle Isle 28 1 3.57 Orange Conway 1 - 0.00 Orange Eatonville 5 1 20.00 Orange Edgewood 28 1 3.57 Orange Fairview Shores 3 - 0.00 Orange Lake Buena Vista 45 3 6.67 Orange Lockhart 1 1 100.00 Orange Maitland 272 23 8.46 Orange Mount Dora 2 - 0.00 Orange Oakland 46 1 2.17 Orange Ocoee 191 19 9.95 Orange Orlando 6,492 290 4.47 Orange Orlando TP 2 - 0.00 Orange Orlando Transit Authority 185 4 2.16 Orange Pine Hills 2 - 0.00 Orange Sky Lake 2 - 0.00 Orange Unincorporated 10,734 492 4.58 Orange University of Central Florida 50 2 4.00 Orange Unknown 664 50 7.53 Osceola Kissimmee 139 5 3.60 Osceola St.Cloud 103 1 21 20.39 2011 Florida Traff Crash • Alcohol Related Crash Rates by Locality Osceola Unincorporated 2,708 128 4.73 Osceola Unknown 2 - 0.00 Palm Beach Atlantis 33 2 6.06 Palm Beach Belle Glade 128 12 9.38 Palm Beach Belvedere Homes 1 1 100.00 Palm Beach Boca Raton 1,059 76 7.18 Palm Beach Boynton Beach 622 59 9.49 Palm Beach Briny Breezes 3 1 33.33 Palm Beach Cloud Lake 1 - 0.00 Palm Beach Delray Beach 787 66 8.39 Palm Beach Florida Atlantic University 22 1 4.55 Palm Beach Greenacres City 240 24 10.00 Palm Beach Gulf Stream 2 - 0.00 Palm Beach Haverhill 5 - 0.00 Palm Beach Hypoluxo 17 3 17.65 Palm Beach Juno Beach 38 4 10.53 Palm Beach Jupiter 329 35 10.64 Palm Beach Lake Clark Shores 28 2 7.14 Palm Beach Lake Park 91 8 8.79 Palm Beach Lake Worth 491 69 14.05 Palm Beach Lantana 145 7 4.83 Palm Beach Loxahatchee Groves 22 4 18.18 Palm Beach Manalapan 10 2 20.00 Palm Beach Mangonia Park 37 2 5.41 Palm Beach North Palm Beach 5 1 20.00 Palm Beach Ocean Ridge 9 1 11.11 Palm Beach Pahokee 24 5 20.83 Palm Beach Palm Beach 61 9 14.75 Palm Beach Palm Beach Gardens 484 68 14.05 Palm Beach Palm Beach School Board 4 - 0.00 Palm Beach Palm Beach Shores 7 1 14.29 Palm Beach Palm Springs 156 25 16.03 Palm Beach Riviera Beach 378 24 6.35 Palm Beach Royal Palm Beach 271 23 8.49 Palm Beach South Bay 17 1 5.88 Palm Beach South Palm Beach 4 - 0.00 Palm Beach Tequesta Village 5 2 40.00 2011 FloridaTraffic ' Crash • Alcohol Related Crash Rates by Locality Palm Beach Unincorporated 4,631 390 8.42 Palm Beach Wellington 269 25 9.29 Palm Beach West Gate 4 - 0.00 Palm Beach West Palm Beach 1,102 84 7.62 Pasco Beacon Square 4 1 25.00 Pasco Dade City 106 5 4.72 Pasco Land O Lakes 32 2 6.25 Pasco New Port Richey 299 22 7.36 Pasco Port Richey 88 7 7.95 Pasco Saint Leo 3 - 0.00 Pasco San Antonio 10 1 10.00 Pasco Unincorporated 4,801 364 7.58 Pasco Zephyrhills 263 7 2.66 Pinellas Belleair 19 2 10.53 Pinellas Belleair Beach 13 - 0.00 Pinellas Belleair Bluffs 24 6 25.00 Pinellas Clearwater 1,023 142 13.88 Pinellas Dunedin 343 47 13.70 Pinellas Gulfport 82 14 17.07 Pinellas Indian Rocks Beach 48 6 12.50 Pinellas Indian Shores 14 4 28.57 Pinellas Kenneth City 44 2 4.55 Pinellas Largo 677 98 14.48 Pinellas Lealman 1 - 0.00 Pinellas Madeira Beach 90 21 23.33 Pinellas North Redington Beach 10 4 40.00 Pinellas Oldsmar 219 19 8.68 Pinellas Pinellas Park 717 87 12.13 Pinellas Redington Beach 5 - 0.00 Pinellas Redington Shores 3 2 66.67 Pinellas Safety Harbor 124 12 9.68 Pinellas Seminole 317 28 8.83 Pinellas Seminole Park 5 1 20.00 Pinellas South Pasedena 58 7 12.07 Pinellas St.Pete/Clearwater Airport 1 - 0.00 Pinellas St.Petersburg 2,940 311 10.58 Pinellas St.Petersburg Beach 125 35 28.00 2011 FloridaTraffic ' Crash • Alcohol Related Crash Rates by Locality Pinellas Tarpon Springs 294 32 10.88 Pinellas Treasure Island 81 16 19.75 Pinellas Unincorporated 3,594 243 6.76 Pinellas Unknown 1 - 0.00 Polk Auburndale 135 9 6.67 Polk Bartow 211 6 2.84 Polk Davenport 24 1 4.17 Polk Dundee 55 - 0.00 Polk Eagle Lake 18 2 11.11 Polk Fort Meade 13 - 0.00 Polk Frostproof 11 4 36.36 Polk Haines City 227 7 3.08 Polk Lake Alfred 3 2 66.67 Polk Lake Hamilton 21 3 14.29 Polk Lake Holloway 1 1 100.00 Polk Lake Wales 141 10 7.09 Polk Lakeland 811 105 12.95 Polk Mulberry 31 1 3.23 Polk Polk City 9 - 0.00 Polk Unincorporated 2,968 244 8.22 Polk Winter Haven 453 31 6.84 Putnam Crescent City 7 3 42.86 Putnam Interlachen 17 1 5.88 Putnam Palatka 190 10 5.26 Putnam Unincorporated 519 74 14.26 Putnam Unknown 2 - 0.00 Putnam Welaka 2 - 0.00 Santa Rosa Gulf Breeze 35 6 17.14 Santa Rosa Milton 96 5 5.21 Santa Rosa Unincorporated 1,368 140 10.23 Sarasota Englewood 12 2 16.67 Sarasota Longboat Key 17 2 11.76 Sarasota Nokomis/Laurel 22 4 18.18 Sarasota North Port 320 15 4.69 Sarasota Port Charlotte 1 1 100.00 Sarasota Sarasota 1,167 102 8.74 Sarasota Sarasota South 2 - 0.00 2011 FloridaTraffic ; Crash • Alcohol Related Crash Rates by Locality Sarasota Sarasota Southeast 1 - 0.00 Sarasota Sarasota-Manatee Airport 2 - 0.00 Sarasota Siesta Key 1 - 0.00 Sarasota Unincorporated 2,064 185 8.96 Sarasota Venice 81 7 8.64 Sarasota Venice South 10 - 0.00 Seminole Altamonte Springs 560 40 7.14 Seminole Casselberry 262 35 13.36 Seminole Lake Mary 187 23 12.30 Seminole Longwood 345 16 4.64 Seminole Oviedo 322 25 7.76 Seminole Sanford 667 56 8.40 Seminole Unincorporated 742 77 10.38 Seminole Unknown 12 - 0.00 Seminole Winter Springs 93 10 10.75 St.Johns Hastings 19 5 26.32 St.Johns Ponte Vedra 79 16 20.25 St.Johns St.Augustine 444 66 14.86 St.Johns St.Augustine Beach 57 10 17.54 St.Johns Unincorporated 1,142 123 10.77 St.Lucie Fort Pierce 695 44 6.33 St.Lucie Fort Pierce NW 1 - 0.00 St. Lucie Port St.Lucie 836 99 11.84 St.Lucie St.Lucie Village 5 - 0.00 St.Lucie Unincorporated 625 68 10.88 St.Lucie Unknown 1 - 0.00 Sumter Bushnell 7 - 0.00 Sumter Center Hill 1 - 0.00 Sumter Unincorporated 658 40 6.08 Sumter Webster 5 2 40.00 Sumter Wildwood 45 7 15.56 Suwannee Branford 11 1 9.09 Suwannee Live Oak 65 8 12.31 Suwannee Unincorporated 364 45 12.36 Suwannee Unknown 1 - 0.00 Taylor Perry 34 4 11.76 Taylor ISteinhatchee 6 1 5 1 83.33 2011 Florida Traffic Crash • Alcohol Related Crash Rates by Locality Taylor Unincorporated 150 33 22.00 Taylor Unknown 1 - 0.00 Union Lake Butler 13 2 15.38 Union Raiford 1 - 0.00 Union Unincorporated 89 9 10.11 Union Worthing Springs 3 1 33.33 Unknown Unknown 7 2 28.57 Volusia Ormond Beach 502 65 12.95 Volusia Ormond By The Sea 13 3 23.08 Volusia Pierson 36 4 11.11 Volusia Ponce Inlet 17 2 11.76 Volusia Port Orange 396 43 10.86 Volusia Seville 10 3 30.00 Volusia South Daytona 102 16 15.69 Volusia South Peninsula 1 - 0.00 Volusia Unincorporated 536 67 12.50 Volusia Unknown 3,629 318 8.76 Wakulla Crawfordville 80 16 20.00 Wakulla Unincorporated 131 28 21.37 Walton Defuniak Springs 95 6 6.32 Walton Freeport 14 1 7.14 Walton Paxton 2 - 0.00 Walton Santa Rosa Beach 26 4 15.38 Walton Unincorporated 562 89 15.84 Washington Caryville 35 1 2.86 Washington Ebro 6 1 16.67 Washington Unincorporated 198 23 11.62 Washington Vernon 3 1 33.33 Totab 227,M I7,M 7.61 2011 Florida Traffic Crash CrashRates •r Florida Resident Drivers by Age Group Raft Pff I�oe�eeel Dtiv+ers Duvets is ASJOAMIkMaw Davis in 10 F l M i kwwd s rs Ddve Crimes AM Under 15 - 159 - 15-19 705,353 27,813 3%M 197 21,19 20-24 1,240,277 47,304 38L40 360 2.90 25-29 1,317,078 37,545 285.06 321 2.44 30-34 1,258,926 31,099 247.03 261 2.07 35-39 1,190,242 28,417 238.75 254 2.13 40-44 1,323,835 29,404 222.11 242 1.83 45-49 1,382,692 29,741 215 M 277 2.00 50-54 1,417,485 26,296 18551 254 1.79 55-59 1,289,833 21,155 164.01 210 1.63 60-64 1,153,848 16,436 142.45 160 L39 65-69 1,023,157 11,032 107.82 103 1.01 70-74 775,515 7,770 100.19 97 125 75-79 558,880 5,713 10222 79 1.41 80-84 407,380 4,063 99.73 53 1.30 85-89 234,481 2,314 96.69 44 1.88 90+ 99,224 845 85.16 20 2.02 Unknown - 1 1,090 1 Axwoul 3MLM n3ml 2,9M L91 CrashRates for • •• Resident Drinking Drivers by Age Group AW� 13oease Darees D cmd � � Ua�it JO)O 01�ornsed Csael�es Crae�ites Ddwam Ddyam Under 15 - 7 - 15-19 705,353 647 9.17 38 0.54 20-24 1,240,277 2,446 49M 93 0.75 25-29 1,317,078 2,177 1653 88 0.67 30-34 1,258,926 1,611 12M 61 0.48 35-39 1,190,242 1,301 10.93 48 0.40 40-44 1,323,835 1,330 10.05 59 0.45 45-49 1,382,692 1,459 1055 59 0.43 50-54 1,417,485 1,227 8.66 56 0.40 55-59 1,289,833 879 6.81 32 0.25 60-64 1,153,848 517 4.48 29 0.25 65-69 1,023,157 263 2.57 16 0.16 70-74 775,515 140 1.81 7 0.09 75-79 558,880 68 122 4 0.07 80-84 407,380 39 0.96 2 0.05 85-89 234,481 7 0.30 2 0.09 90+ 99,224 5 0.50 1 0.10 Unknown - 46 - 15,378,206 14,1691 921 595 0.39 2011 Florida Traffic Crash Crash Rates for Florida Resident Drivers (Select Ages) CmsbRMepw Pole per Driver AV Lkmwd D dvm Drivers inA0 L> h Fvtat 10,000 I Aowsedd Driver Dry 15 63,134 269 42.61 - - 16 115,069 3,204 278.44 19 1.65 17 146,699 5,498 374.78 36 2.45 18 178,218 8,836 49 M 67 3.M 19 202,233 10,006 4MM 76 3.76 20 220,504 10,232 464in 65 2.95 21 238,802 10,093 A" 78 327 22 259,960 9,608 369.60 90 3.46 23 259,708 8,903 342-81 76 293 24 261,303 8,468 3MM 52 199 25 264,159 8,132 307.84 81 3.07 26 263,930 7,806 29596 65 2.46 27 264,727 7,337 277.15 65 2.46 28 1 263,648 7,341 27&44 51 1.93 29 1 260,6141 6,929 265.® 60 230 :# 1D2,662 ffi1 2-M Crash Rates for Florida Resident Drivers (Select Ages) Driver Abe L cmdm L7livessin Alf LL dal �� Drivers esmob" Drivers 70 184,908 1,763 95.34 15 0.81 71 160,898 1,660 19317 27 1.68 72 150,735 1,495 9918 17 1.13 73 141,173 1,506 1KNO 23 1.63 74 137,801 1,346 97M 17 123 75 127,309 1,280 10054 14 1.10 76 119,384 1,249 low 15 1.26 77 112,202 1,113 99.20 20 1.78 78 104,621 1,061 101.41 14 1.34 79 95,364 1,010 10591 16 1.68 80 93,886 962 1CM46 7 0.75 81 86,361 908 105.14 14 1-i2 82 83,938 770 91.73 16 1.91 83 73,505 773 105.16 9 122 84 69,690 650 9327 7 1.00 85 61,469 624 10151 13 2.11 86 53,981 535 99.11 9 1.67 87 45,820 460 10039 6 131 88 40,629 384 9451 8 1.97 89 32,582 311 95.45 8 2 46 90+ 99,224 845 85.16 20 2.02 2A7!y480 20,705 99.76 295 1.42 2011 Florida Traffic Crash Crash Rates for Florida Resident Drinking Drivers (Select Ages) Crmh RA*pa Dd"w Abe Ekmoed E dwm Des is AMDav�as b FatalJQWI D:ivam Craelses Ddwm 15 63,134 2 0.32 - - 16 115,069 30 2.61 3 026 17 146,699 76 5.18 5 0.34 18 178,218 217 12.18 12 0.67 19 202,233 322 15.92 17 0.34 20 220,504 400 18.14 15 0.68 21 238,802 555 23.24 21 0.85 22 259,960 529 20 35 22 US 23 259,708 474 28.25 19 0.73 24 261,303 488 ism 15 057 25 264,159 442 16n 20 076 26 263,930 448 1697 20 026 27 264,727 443 16.73 18 0.68 28 263,648 426 1" 10 0.38 29 i 260,6141 4181 16..044 19 0.73 5xvil IfB 211E 0.66 C rash Rates for Florida Resident Drinking Drivers (Select Ages) JS�e l ie XkMi.icxwhM" Natal Q 3�cnm�d Comes Driers G> es D dvm 70 184,908 37 2:0a 1 0.05 71 160,898 31 Lm 3 0.19 72 150,735 33 2" 1 0.07 73 141,173 19 1.35 2 0.14 74 137,801 20 1.45 - - 75 127,309 15 1.18 1 Om 76 119,384 15 1.26 - - 77 112,202 21 1.877 1 0.09 78 104,621 11 1.05 2 0.19 79 95,364 6 0.63 - - 80 93,886 5 053 - - 81 86,361 16 im 2 0.23 82 83,938 5 0.60 - - 83 73,505 10 1.36 - - 84 69,690 3 0.43 - - 85 61,469 1 0.16 - - 86 53,981 3 0.56 2 0.37 87 45,820 3 0.65 - - 88 40,629 - - - - 89 32,582 - - - 90+ 99,224 5 0.50 1 0.10 Z075,480 259 125 16 0.08 O�p3�pp� ti 09 4 cO M t � � � N W) M tiD O� t1� C� to O y tY tr. tr. o0 ei L� N N tL�� • O i1 sue-.+ CT aC) OC oC aC) ti0 trI N III • l� O tiD a0 00 e-1 a� 00 00 r� O M O d{ a,� O s-+ • 00 O d� 00 00 O Oti tiD O O m CN M 00 9 Bt ON IC O M " M tiD Oti �-- NON tiD 00 M d+ 00 Ile M r e O O e tl ti0 d{ cf N I-z GDP rf it s-4 4 • , o a o 0 0 0 0 0 o a o 0 0 0 B ti � ! V sir e 1 0N �G 00. � + t? aD V! N � tC O >a " O t\ i\ � aC ti0 e?� co en LY N O O O• a s-t V-F s-r N N m O tiD M N tiD ti0 N N tic M M O N tiD • � o a a a a a a o 0 0 0 8-0 o a / �° T 3 r+ O t!s C ttS tit? M 00 Sc to m eM tiD m N pp > - 00 1�3' laq O N to M tr 'IR rr N r- N ll� Ci O rz Q w m w 00 t,% 20 d+ M N s-r e-i O O N ti 1 � �y Lo i d� 0 O cf 00 L� tiD wN w a\ N to N d, N CT N e- M O Iz OD N n N 00 110 dz N tl e yf N m di M M M M N N e + r + N a4 d a Oti ei+ 3, 3, O, N" Oti a\ N cM M cM L tiD L� 00 + J OJ i i i McnOi mi Lo Oi 0i 00N c z � N 00 00i sy Q �i �+ A SAFER (I IR I Mill HIGHWAY SAFETY AND MOTOR VEHICLES T�aft Crash Facts -Annual Report , Create Date: 10/7/2013 Page 1 i Create Date: 10/7/2013 Awntaflon Please Read Please note while reviewing the 2012 Crash Facts Annual Report, effective 7/1/2012 Florida Statute 316.066 was amended by the Florida Legislature to require all law enforcement agencies to report additional crashes to the Department of Highway Safety and Motor Vehicles which the agencies were not previously required to submit. This statutory change has resulted in more crash reports being received at the state level for inclusion in this publication. These changes include the following additional requirements: 0 Any complaint of pain or discomfort experience by any persons involved 0 All commercial motor vehicle crashes without regard to any other statutory requirement 0 A vehicle was rendered inoperable to a degree that required a wrecker to remove it from the scene of the crash While the 2012 crash data may appear to reflect an increase in crashes, the statutory change resulted in more crash reports being received for inclusion in this publication. These changes have resulted in an increase in the number of reported crashes, vehicles involved and persons involved and should not be taken as an indicator of a significant increase in crashes statewide compared to previous years. The information contained herein represents data from crash reports (HSMV 90010S) as filed by law enforcement agencies in the state of Florida. This information is provided to the public through a partnership with the Florida Department of Highway Safety and Motor Vehicles and Appriss, Inc., Division of Public Information Management. Please refer all inquiries to Fires@appriss.com or call 866-495-4206. The Summary page immediately following is a snapshot of the crashes contained in the database as of closeout on 8/1/2013. All of the reports thereafter included crashes that have been received since that date prior to publishing on the Create Date listed on each table. Page 2 I Create Date: 10/7/2013 Florida Turf c Qwh%fisfics S m mm y Summary Category 2010 2011 2012 Percent 3 Year Change Average Traffic crashes I 235,4611 227,998 281,340 23.40%I 248,266 Drivers involved I 338,1121 334,809 468,470 39.92%I 380,463 Average crashes per day I 6451 625 770 23.40%I 680 Mileage Death Rate(per 100 I 1.25 1.25 1.27 1.57%I 1.25 million VMT) Fatal crashes I 2,2611 2,214 2,255 1.85%I 2,243 Fatalities I 2,444 2,400 2,430 1.25%� 2,424 Injury crashes I 124,847 117,903 130,902 11.03%I 124,550 Injuries I 195,1041 181,654 198,0321 9.02%1 191,596 Property damage only crashes I 108,353 107,883 149,0441 38.15%I 121,760 Alcohol Related/Suspected I 17,748 17,067 17,258 1.12%I 17,357 crashes Alcohol Related/Suspected fatal I 7461 828 805 End 793 crashes Alcohol Related/Suspected I 7941 920 877 -4.67%I 80-511 fatalities Alcohol Related/Suspected injury I 7,82518,262 7,910 -4.26%I 7,999 crashes Alcohol Related/Suspected I 12,1681 11,816 12,066 2.12%I 12,016 injuries Alcohol Confirmed Crashes I N/A 10,008 9,867 -1.41%I 6,625 Alcohol Suspected Crashes I N/A 7,059 7,3911 4.70%I 4,816 Drug-related/Suspected crashes I 1,236 1,995 1,7981 -9 f8 1,676 Drug-related/Suspected fatalities I 106 190 2001 5.26%1 165 Drug-related/Suspected injuries I 957 1,556 1,435 -7.78%I 1,316 Pedestrian crashes 7,290 7,039 8,258 17.32%I 7,167 Pedestrians killed I 4991 497 473 -4.83%I 490 Pedestrians injured I 7,89416,194 7,413 19.68%I 7,167 Bicycle crashes I 4,925 5,013 6,425 28.17%1 5,454 Bicycle riders killed I 761 120 116 2.33%I J-n-AII Page 3 Create Date: 10/7/2013 Bicycle riders injured I 4,60unull 4,6321 6,0581 30.79%I 5,096 Other non-motorist Crashes 1 N/A 1,886 2,484 31.71%1 1,456 Other non-motorist killed I N/A 7 171 142.86%I 8 Other non-motorist injured I N/A 357 4461 24.93%I 267 Motorcycle crashes I 7,484 8,621 9,384 8.85%1 8,496 Motorcyclists killed I 3501 413 425 2.91%1 396 Motorcycle passengers killed I 33 38 32 -15.79%I 34 Motorcyclists injured I 6,686 7,194 7,809 8.55%I 7,229 Motorcycle passengers injured I 725 776 8391 8.12%I 780 Teen crashes I 26,848 28,176 34,341 21.88%1 29,788 Teen Drivers Killed I 801 91 77 -15.38%1 82 Teen Passengers Killed I 41 63 48 -23.81%I 58 Teen Drivers injured I 10,5631 8,842 8,967 1.41%I 9,457 Teen Passengers Injured I 7,980 6,968 7,0491 1.16%I 7,332 VMT=Vehicle Miles Traveled Page 4 Create Date: 10/7/2013 Florida Daffic Cxash Fwts T abk of Conbe s 1 . Summary and Notes Florida Traffic Crash Summary 3 Source of Data 7 Traffic Crash Data Definitions 8 Florida Motoring Environment 10 2. Person Involved Statistics Drivers and Passengers Safety Equipment 11 Motorcyclist Safety Equipment 12 Non-Motorist Safety Equipment 13 Injury Levels by Vehicle Type 16 Drivers by Age Group 18 Drinking Drivers by Age Group 19 Drivers Age 15-29 20 Drinking Drivers Age 15-29 21 Drivers Age 70 and Above 22 Drinking Drivers Age 70 and Above 23 Age and Sex of Persons Involved in Crashes 24 Age and Sex of Motorcyclists in Crashes 27 Drinking Bicyclists and Pedestrians by Injury Level 29 Drinking Bicyclists and Pedestrians by Age Group 31 Initial Driver Actions (Previously`Driver Contributing Cause') 33 3. Environment—Road and Vehicle Statistics Crashes by Hour and Day 34 Weather Conditions at Time of Crash 36 Road Surface Conditions 36 Lighting Conditions 37 Road Contributing Circumstances 37 Road Type 38 Page 5 Create Date: 10/7/2013 3. Environment—Road and Vehicle Statistics Vehicle Harmful Events 39 Crashes by Vehicle Type 41 4. Traffic Crash History by County Traffic Crash History Total 42 Traffic Fatality History 45 Traffic Injury History 48 Property Damage Only History 51 Alcohol Suspected/Related Crash History 54 Alcohol Suspected/Related Fatalities 57 Alcohol Suspected/Related Injuries 60 Motorcycle Crash History 63 Motorcycle Fatality History 66 Motorcycle Injury History 69 Commercial Motor Vehicle Crash History 72 Commercial Motor Vehicle Fatality History 75 Commercial Motor Vehicle Injury History 78 Pedestrian Crash History 81 Pedestrian Fatality History 84 Pedestrian Injury History 86 Bicycle Crash History 89 Bicycle Fatality History 92 Bicycle Injury History 94 Crashes by Locality 97 Page 6 Create Date: 10/7/2013 i ce of Ro ida Traffic Crash Data The information contained in this Traffic Crash Statistics booklet is extracted from law enforcement agency reports(HSMV 90010S) of traffic crashes in which a motor vehicle is involved and which meets the following criteria: Motor vehicle crashes resulting in death or personal injury;or Motor vehicle crashes in which one or more of the following conditions occur: o Leaving the scene involving damage to an attended vehicle or property (Section 316.061 (1),F.S.),or o Driving while under the influence of alcoholic beverages,chemical substances,or controlled substances or with an unlawful blood alcohol level Section 316.193 F.S. or o A vehicle was rendered inoperable to a degree that required a wrecker to remove it from the scene of the crash(Effective 7/1/2012);or o Involved a commercial motor vehicle (Effective 7/1/2012). § Please note that while the effective date of the changes above are in July,the figures in this document utilize the above logic for the entire year beginning January 1,2012 in order to provide a more accurate view towards the future. An investigating officer may report any other traffic crashes on the long-form crash report. However,only those crashes that meet the criteria above are included in this report. The information contained in this report was produced by Appriss,Inc.,Division of Public Information Management in partnership with the Florida Department of Highway Safety and Motor Vehicles and was pulled from the FIRES database. For further information or custom inquiries please contact us at Fires@appriss.com or call 866-495-4206,M-F,Sam-5pm EST. Page 7 Create Date: 10/7/2013 Traffic! Crash Data Defi ; ons Alcohol-related traffic crash A crash involving a driver and/or pedestrian for whom alcohol use was reported(does not presume intoxication). All-Terrain Vehicle (ATV) A small open motorized vehicle with three or four wheels,designed for off-road use with a seat that is straddled and handlebars for steering. Bicycle A vehicle propelled solely by human power or a motorized bicycle propelled by a combination of human power and an electric helper motor rated at 200 watts or less (this term does not include a vehicle with a seat height less than 26 inches from the ground when the seat is adjusted to its highest position,or a scooter or similar device). Bicyclist The driver of or passenger on a bicycle. A bicyclist is considered a non-motorist. Commercial motor vehicle (CMV) Means any motor vehicle or motor vehicle combination used on the streets or highways which: 0 Has a gross,declared,or actual weight rating of 10,001 pounds or more;or 0 Is designed to transport more than 15 persons,including the driver;or 0 Is transporting hazardous materials and is required to be placarded. Driver Unless otherwise indicated,the operator of a motor vehicle. Driver data typically excludes uninjured persons presumed to have been operating hit-and-run,phantom,or properly parked vehicles. Drinking Driver Indicates investigating officer's judgment on whether a driver was suspected of alcohol use without regard to results of any road-side sobriety or other test for intoxication. Fatal traffic crash A traffic crash that results in one or more fatalities within thirty days of occurrence. Harmful events Identifies the first harmful events for each vehicle in a traffic crash. Injury Hurt,damage,or loss sustained by a person as a result of a traffic crash. Definitions for the various injury levels are as follows: 0 Injury crash-A non-fatal traffic crash that results in one or more injuries. 0 Incapacitating injury-Any visible signs of injury from a crash and person(s)had to be carried from the scene. 0 Non-incapacitating injury-Any visible injuries such as bruises,abrasions,limping,etc. 0 Possible injury-No visible signs of injury but complaint of pain or momentary unconsciousness. 0 Total injury-The sum of possible,non-incapacitating,and incapacitating injuries. Long form Refers to a crash report prepared by a law enforcement officer meeting these criteria: 0 Motor vehicle crashes resulting in death or personal injury;or Q Motor vehicle crashes in which one or more of the following conditions occur: o Leaving the scene involving damage to an attended vehicle or property (Section 316.061 (1),F.S.),or o Driving while under the influence of alcoholic beverages,chemical substances,or controlled substances or with an unlawful blood alcohol level (Section 316.193,F.S.);or o A vehicle was rendered inoperable to a degree that required a wrecker to remove it from the scene of the crash(Effective 7/1/2012);or Page 8 Create Date: 10/7/2013 o Involved a commercial motor vehicle (Effective 7/1/2012). Please note that while the effective date of the changes above are in July,the figures in this document utilize the above logic for the entire year beginning January 1,2012 in order to provide a more accurate view towards the future. Low Speed Vehicle A low speed vehicle is any 4-wheel electric vehicle that has a top speed greater than 20 miles per hour but not greater than 25 miles per hour. A low speed vehicle can be operated on streets under certain conditions,must be licensed for use on the highway,and its operator must have a valid driver license. A golf cart is not considered a low speed vehicle. Moped A motor-powered cycle with a pedal-activated motor and a maximum of two brake horsepower. Motor vehicle Any motorized vehicle not operating on rails. Motorcycle A motor vehicle,with a seat or saddle for the driver's use,traveling with no more than three wheels in contact with the ground,excluding a tractor or a moped. Motorcyclist The driver of a motorcycle. A passenger on a motorcycle is considered a vehicle passenger except where noted. Short form Refers to a crash report in which the threshold of the long form does not apply. Therefore,a long form report is not prepared. In crashes where apparent damage is less than$500,the law enforcement officer shall provide each party involved in the crash a driver exchange form prescribed by the state,to be completed by each party of the parties. Traffic crash A crash involving at least one motor vehicle on a roadway that is open to the public. Traffic fatality The death of a person as a direct result of a traffic crash within thirty days of the crash occurrence. Property Damage Only Loss of all or part of an individual's vehicle and/or property damage only crash resulting from a traffic crash not involving injury to a person. Page 9 Create Date: 10/7/2013 Florida MoWring Env ramumt Crash Licensed Registered Vehicle Crashes Non-Fatal Deaths Mileage Year Drivers Vehicles Miles Injuries Death Rate 1991 12,170,821 11,184,146 113,484 195,312 195,1221 2,523 2.2211 1992 11,550,126 11,205,298 114,000 196,174 205,4321 2,480 2.181 1993 1 11,767,409 11,159,9381 119,768 199,039 212,4971 2,719 2.271 1994 11,992,578 11,393,9821 120,929 206,183 223,4581 2,722 2.251 1995 12,019,156 11,557,811 127,800 228,589 233,9001 2,847 2.23 1996 1 12,343,598 12,003,9301 129,637 241,377 243,3201 2,806 2.161 1997 12,691,835 12,170,375 133,276 240,639 240,0011 2,811 2.111 1998 13,012,132 11,277,808 136,680 245,440 241,8631 2,889 2.111 1999 1 13,398,895 11,611,9931 140,868 243,409 232,2251 2,920 2.071 2000 1 14,041,846 11,948,4851 149,857 246,541 231,5881 2,999 2.001 2001 1 14,346,373 13,448,202 171,029 256,169 234,6001 3,013 1.761 2002 1 14,604,720 12,989,2781 178,6801 250,470 229,6111 3,143 1.761 2003 1 14,847,416 14,080,8861 185,642 243,294 221,6391 3,179 1.711 2004 15,007,005 14,512,264 196,722 252,902 227,1921 3,257 1.66 2005 1 15,272,680 15,062,9931 200,974 268,605 233,9301 3,533 1.761 2006 1 15,491,878 15,612,1611 203,783 256,200 214,9141 3,365 1.651 2007 1 15,579,603 14,858,3321 205,421 256,206 212,1491 3,221 1.571 2008 1 15,556,658 15,966,2871 198,494 243,342 199,6571 2,983 1.501 2009 15,553,387 14,983,437 196,402 235,778 197,2141 2,563 1.301 2010 15,507,284 14,845,603 195,755 235,461 195,1041 2,444 1.25] 2011 15,374,230 14,795,836 191,854 227,998 181,7011 2,403 1.251 2012 1 15,378,206 14,727,7551 190,850 281,321 198,0291 2,430 1.271 Vehicle Miles column is expressed in Millions Mileage Death Rate is determined Per 100 Million Vehicle Miles of Travel Annually Registered Vehicles beginning in Year 1998,does not include count of trailers with tags Registered Vehicles beginning in year 2010 utilized a more accurate accounting method Page 10 Create Date: 10/7/2013 ei Safety Resbmints and h*ny lzvds of fivers and Passengers Restraint Type Not Injured Possible Non-Incapacitating Serious(Incapacitating) Fatalities Injuries Injuries Injuries Driver Lap Belt Only Used I 31 3 311 121 None Used-Motor 1,722 64 1,1101 827 337 Vehicle Occupant Not Applicable 2,416 43 341 1491 13 (non-motorist) Other,Explain in 1,161 26 11 431 15 Narrative Restraint Used-Type 30 5 22� 11I 21 Unknown Shoulder and Lap Belt 152,639 38,134 19,6401 5,8421 339 Used Shoulder Belt Only Used I 1,395 33 141 501 41 159,948 39,919 21,366 6,934 711 Passenger Booster Seat I 63 17 51 201 11 Child Restraint System 5,686 1,193 311 821 4141 -Forward Facing Child Restraint System 1,267 29 51 181 01 -Rear Facing Child Restraint Type 188 2 1 31 _1 Unknown Lap Belt Only Used I 2,481 31 1511 481 None Used-Motor 3,402 811 8911 5501 125 Vehicle Occupant Not Applicable 8,036 521 221 811 81 (non-motorist) —� Other,Explain in 775 9 581 211 Narrative Restraint Used-Type 385 41 181 91 31 Unknown Shoulder and Lap Belt 56,438 15,229 7,223I 2,1261 121 Used Shoulder Belt Only Used I 621 161 72� 261 l l 79,918 18,884 9,070 2,984 272 Grand Total: 239,866 58,803 30,436 9,918 983 Page 11 Create Date: 10/7/2013 Hehnet Type and h*ny Levels of Motorcychsts Helmet Type Not Injured Possible Non-incapacitating Serious(Incapacitating) Fatalities Injuries Injuries Injuries Driver DOT-Compliant 447 98 2,0411 1,0631 200 Motorcycle Helmet No Helmet I 4941 68 1,5371 1,0431 209 Other Helmet I 1 3 731 451 10 Unknown I 8 1551 781 6161 1,024 1,783 3,806 2,229 426 Passenger DOT-Compliant 101 11 911 81 Motorcycle Helmet —� No Helmet I 9 8 1-4I 1091 221 Other Helmet I �1I 51 21 01 Unknown I 3 2 61 211 21 186 219 398 223 32 Grand Total: 1,210 2,002 4,204 2,452 457 Page 12 Create Date: 10/7/2013 Safety &pfipment and h*ny Levels of Non Motorists Safety Equipment Type Not Injured Possible Non-Incapacitating Serious (Incapacitating) Fatalities Injuries Injuries Injuries Bicyclist Helmet I 27 241 3911 1041 14 Lighting I �51 4 911 301 12 None 1 288 1,897 2,4021 7341 91 Not Applicable I 11 1 91 41 01 Other,Explain in 311 it 211 01 01 01 Narrative Protective Pads Used 01 13 81 71 11 (elbows,knees,shins, etc.) Reflective Clothing 25 301 121 1 (jacket,backpack,etc.) Unknown 1 30 65 67I 191 31 356 2,302 3,019 910 121 Occupant of a Non-Motor Vehicle Transportation Device Helmet I 21 11 21 01 Lighting 1 01� 01 01 01 None 1 556 50 581 271 71 Not Applicable 1 61 5 91 21 Other,Explain in �61 11 11 01 Narrative Protective Pads Used 01 11 01 01 (elbows,knees,shins, -� etc.) Unknown 1 6 21 01 0101 76 69 72 32 8 Occupant of Motor Vehicle Not in Transport (parked, etc.) Helmet I 2I 1 01 01 01 Lighting I 01 01 01 None 1 333 2 281 101 11 Not Applicable I 114 4 11 11 0101 Page 13 Create Date: 10/7/2013 Occupant of Motor Vehicle Not in Transport (parked, etc.) Other,Explain in 28I 01 01 01 Narrative -� Reflective Clothing 61 1 11 01 01 (jacket,backpack,etc.) J Unknown 1 146 11 01 01 632 37 31 11 1 Other Cyclist Helmet 1 OI _ 31 01 01 None 1 10 1 311 111 21 Not Applicable 1 01 1 01 01 01 Protective Pads Used 0101 01 11 01 (elbows,knees,shins, etc.) Reflective Clothing OI 21 01 01 (jacket,backpack,etc.) Unknown 1 11 11 01 01 11 23 37 12 2 Other Pedestrian (wheelchair, person in a building, skater, pedestrian conveyance, etc.) Helmet I 11 5 21 01 J Lighting 1 2I� 0 21 11 01 None 1 176 13 1371 741 91 Not Applicable 1 66 2 241 61 2121 Other,Explain in 15 11 01 01 Narrative Protective Pads Used 11 1 01 01 01 (elbows,knees,shins, etc.) Reflective Clothing 4I 51 21 01 (jacket,backpack,etc.) Unknown 1 19 5 41 01 284 177 175 83 12 Pedestrian Helmet 1 41 101 31 21 Lighting 1 1111 51 01 2IJ None 1 568 2,104 2,7261 1,4951 415 Page 14 Create Date: 10/7/2013 Pedestrian Not Applicable 1 81 171 2421 1241 36 Other,Explain in 13 13 101 101 1 1 Narrative —� Protective Pads Used 01 31 01 01 (elbows,knees,shins, —� etc.) Reflective Clothing 81 33 ml 161 51 (jacket,backpack,etc.) —� Unknown 1 41 6 721 401 716 2,408 3,102 1,688 470 Unknown Type of Non-Motorist Helmet 1 4I 31 OI 01 Lighting 1 2� 11 01 01 None I --�2341 16 161 81 1 Not Applicable 1 11 21 01 _1 Other,Explain in 52 1 11 01 _ 1 Narrative Reflective Clothing 3I 1 01 01 01 (jacket,backpack,etc.) J Unknown 1 1,064 91 401 161 _ 1 1,476 115 63 24 7 Grand Total: 3,551 5,131 6,499 2,760 621 Page 15 Create Date: 10/7/2013 h*pry Levels by Vehicle Type Vehicle Type Not Injured Possible Injuries Non-Incapacitating Serious (Incapacitating) Fatalities Injuries Injuries Driver All Terrain Vehicle(ATV) I 17 801 1421 1091 14 Bus I 5,331 1-4 481 16l Cargo Van(10000 lbs or 2,230 2711 1271 -41 _ 9 less) Farm Labor Vehicle I 71 61 31 0 Low Speed Vehicle I 23 691 231 5 Medium/Heavy Trucks 15,4881 434 2891 1031 20 (more than 10000 lbs) Moped I 15 311 6011 2251 8 Motor Coach I 11 41 Motor Home I 211 241 ill Motorcycle I 1,024 1,7831 3,8061 2,2291 425 Not Specified I 3,034 2 781 211 2 Other Light Trucks(10000 3,333 351 1681 561 6 lbs or less) Other,Explain in 1,619 2771 2631 831 12 Narrative Passenger Car I 185,442 48,2961 23,8551 6,4751 559 Passenger Van I 17,410 3,9771 1,8311 5171 42 Pickup I 39,164 7,2611 3,8421 1,2381 150 Sport Utility Vehicle(SUV)I 46,0301 11,0791 5,4331 1,5901 158 Unknown I 14,800 731 981 31 2 335, 667 75,331 40,671 12,763 1,416 Page 16 Create Date: 10/7/2013 Passenger All Terrain Vehicle(ATV) I 31 601 35 Bus I 24,5831 1,1671 4191 711 4 Cargo Van(10000 lbs or 43 341 _ 0 less) Farm Labor Vehicle I 11 1I 0 Low Speed Vehicle I 26 311 11 Medium/Heavy Trucks 2,299 101 551 11 3 (more than 10001 lbs) Moped I 45 311 451 211 3 Motor Coach I 1851 2q 121 Motor Home I 15 !1 91 - 4I Motorcycle I 18 211 3981 221 32 Not Specified I 925 9d 301 Other Light Trucks(10000 95 149 731 24 lbs or less) Other,Explain in 72 71 651 24I Narrative Passenger Car I 74,729 21,186I 9,299I 2,4801 203 Passenger Van I 13,197 3,034 1,1581 3531 31 Pickup I 12,6331 2,836I 1,4671 512I 4 Sport Utility Vehicle(SUV)I 24,530 5,809I 2,6251 7641 79 Unknown I 1,960 131 721 131 _ 0 157,721 35,034 15,863 4,569 398 Grand Total: 493,588 110,365 56,524 17,332 1,814 Page 17 Create Date: 10/7/2013 Florida Resident fivers in Crashes by Age Group Age Drivers in All Percent Drivers in Fatal Percent Drivers Percent Group Crashes All Crashes Fatal Killed Killed 15-19 133,2081 7.96% 2011 6.39% 751 5.63% 20-24 158,0671 13.92% 4301 13.66%1 1891 14.200/ 25-29 47,6151 11.41% 3881 12.33% 174 13.07o/ 21 30-34 39,6291 9.50% 2761 8.77% 921 6.910//0 35-39 35,5361 8.52% 2101 6.67%1 731 5.48o/ 40-44 37,4361 8.97%1 2401 7.62% 931 6.99% 45-49 37,2671 8.93% 2681 8.51% 981 7.36% 50-54 34,2521 8.21% 2811 8.93%1 121 9.620/ 55-59 27,8101 6.67% 2381 7.56% lod 7.890/ 60-64 21,2451 5.09% 1781 5.65% 801 6.010/ 65-69 15,4751 3.71% 1001 3.18%1 421 3.160/10 70-74 10,5661 2.53% 1131 3.59% 531 3.980/ 75-79 7,4431 1.78% 871 2.76% 401 3.010/10 80-84 5,3551 1.28% 601 1.91%1 341 2.550/ 85-89 2,9351 0.70%1 441 1.40% 301 2.250/01 90+ 2,9011 0.70% 301 0.95% 221 1.65% Under 15 14011 0.10% 41 0.13% 31 0.230/1 Unknown 21 0.00%1 01 0.00%1 01 0.000/ 417,143 100.00 3,148 100.00 1,331 100.00 Page 18 Create Date: 10/7/2013 Florida Resident Drinking Drivers in Crashes by Age Group Age Drivers in All Percent Drivers in Fatal Percent Drivers Percent Group Crashes All Crashes Fatal Killed Killed 15-19 6821 4.44% 251 3.92% 161 3.760/ 20-24 2,7241 17.74%1 1331 20.85% 741 17.370//0 11 25-29 2,4631 16.04% 1241 19.44% 851 19.950 30-34 1,8571 12.09% 661 10.34%1 421 9.86% 35-39 11,3551 8.82% 411 6.43% 281 6.57% 40-44 1,4381 9.37% 561 8.78% 39 9.150/ 45-49 1,4401 9.38% 581 9.09% 421 9.86°/ 50-54 1,2871 8.38% 631 9.87%1 471 11.03°/ 55-59 8781 5.72% 301 4.70% 23 5.400/ 60-64 5701 3.71% 191 2.98% 15 _ 3.52°/ 91 65-69 3151 2.05% 7I 1.10% 51 1.170// JI 70-74 1631 1.06% 81 1.25%1 51 1.170/10 75-79 741 0.48% q 0.78%1 51 1.1707/0 80-84 301 0.20% 21 0.31%1 0.00% 85-89 101 0.07% 11 0.16%1 01 0.00-/011 90+ 631 0.41% 01 0.00%1 01 0.00% Under 15 61 0.04%1 01 0.00%1 01 0.00% 15,355 100.00 638 100.00 426 100.00 Page 19 Create Date: 10/7/2013 Florida Resident Drivers in Q-ashes - Select Ages 15-29 Person Drivers in All Percent Drivers in Fatal Percent Drivers Percent Age Crashes All Crashes Fatal Killed Killed 15 4311 0.31% 1 0.49% 1 0.23% 161 3,9741 2.86% 18 1.77% 51 1.14% 171 6,8181 4.91%1 26 2.55% 81 1.83% 181 10,4621 7.53% 61 5.89%1 261 5.94 191 11,523I 8.30% 9A 9.03% 351 7.990/ 201 11,8371 8.,52%1 M 8.15% 36 8.220/ 211 12,2621 8.83%1 91 8.83% 421 9.59 221 11,966I 8.62% 1011 9.91% 46 10.50% 231 11,3751 8.19% 8.24% 371 8.450/ 241 10,6271 7.65%1 1 7.07% 281 6.39 251 10,274I 7.40% 71 7.56% 371 8.450/1 2.1 261 9,9531 7.17% 1 7.36% 301 6.850/ fj 271 9,4531 6.81% 8q 8.34% 391 8.900/ 281 9,0841 6.54% 81 8.34% 411 9.36% 291 8,851 6.37% 66 6.48% 271 6.1601 138,890 100.00 1,019 100.00 438 100.00 Page 20 Create Date: 10/7/2013 Florida Resident Drinking Drivers in Crashes - Select Ages 15-29 Person Drivers in All Percent Drivers in Fatal Percent Drivers Percent Age Crashes All Crashes Fatal Killed Killed 11 9I 0.15% 0.00% 01 0.00 16 31 0.63% 11 0.35%1 11 0.57% _1 11 1.91% 1 0.71% 1 0.57% 11 11 2151 3.66%1 1 3.19% 61 3.430/1 19 301 5.26% 11 4.61% 81 4.57 20 371 6.32% 11 6.74% 121 6.86% 211 5951 10.14% 2q 7.09% 131 7.43 24 624 10.60%1 A 12.06% 151 8.57 _ 2 5481 9.34%1 A 12.06% 19 10.86% ll 2� 5881 10.02% 2q 9.22%1 151 8.57 5 5281 9.00% 28 9.93% 211 12.00 26 5361 9.13%1 211 7.45% 121 6.86% 21 5161 8.79% 26 9.22% 191 10.86% 2 46A 7.87% 2q 9.22% 191 10.86 29 4211 7.17%1 A 8.16% 141 8.00 5,869 100.00 282 100.00 175 100.00 Page 21 Create Date: 10/7/2013 Florida Resident Drivers in gashes - Select Agies 70+ Person Drivers in All Percent Drivers in Fatal Percent Drivers Percent Age Crashes All Crashes Fatal Killed Killed 70 2,4531 8.96% 2A 6.75% 51 2.840//0 71 Z2361 8.17% 21 7.67% 121 6.82% 72 2,0931 7.65%1 4 6.75%1 131 7.39% 73 1,9401 7.09% 24 8.59% 131 7.39 74 1,8" 6.74% 16 4.91%1 101 5.68% 75 1,6941 6.19%1 14 3.68%1 61 3.41% 76 1,5851 5.79%1 A 6.13%1 71 3.98 0/ 77 1,493I 5.45% 211 6.44% 71 3.98 78 11,4191 5.18% 211 6.44% 101 5.68 79 11,2521 4.57%1 11 3.99% 101 5.68% 80 1,1951 4.37% 11 3.68% 41 2.27% 81 1,1781 4.30% 1A 3.68% 81 4.550//O 82 1 1,1271 4.12% 13 3.99% 61 3.41% ll 83 ?A 3.44%1 1 2.76% 7 3.98-/011 84 911 3.34%1 1A 4.29% 91 5.11% 85 85 791 2.90% 11 5.83% 131 7.3901 86 651 2.40% 2.15% 41 2.27 87 601 2.22% 1 2.76% 7 3.98% 88 1 4811 1.76% 1.84%1 41 2.27-/011 89 3 1.44% 1 0.92%1 2 1.14-/011 90+ 1,0761 3.93% ?A 6.75% 191 10.80 27,375 100.00 326 100.00 176 100.00 Page 22 Create Date: 10/7/2013 Florida Resident D inldng Dfivm in Crashes - Select Ages 70+ Person Drivers in All Percent Drivers in Fatal Percent Drivers Percent Age Crashes All Crashes Fatal Killed Killed 70 341 12.14%1 11 6.25% 1 10.00% 71 401 14.29% 11 6.25% 11 10.00 72 1411 14.64% 11 6.25% 11 10.00% 73 1 271 9.64% 41 25.00% 11 10.00-/011 74 211 7.50%1 11 6.25% 11 10.00% 75 191 6.79% 01 0.00% 0 0.00 76 191 6.79% d 0.00% 0 0.00% 77 151 5.36%1 01 0.00% 01 0.00% 78 101 3.57% 1 12.50% 2 20.00I' 79 111 3.93% 31 18.75% 3 30.00% 80 61 2.14%1 0.00% 0 0.00% 81 101 3.57% 1 12.50% 0 0.00% 82 51 1.79%1 01 0.00% 01 0.00% 83 71 2.50%1 01 0.00% 01 0.00% 21 0.71%1 0.00%1 01 0.00% 85 11 0.36% 01 0.00% 0 0.00% 86 11 0.36% 01 0.00% 0 0.00 87 141 1.43%1 11 6.25% 01 0.00 88 31 1.07%1 01 0.00% 01 0.00% 89 11 0.36% 01 0.00% 0 0.00% 90+ 31 1.07% 01 0.00% 01 0.00 280 100.00 16 100.00 10 100.00 Page 23 Create Date: 10/7/2013 Age and Sex of Persons Involved in C. whes Age Group Male I F Male Female Female Total Injuries 11 Fatalities Injuries Fatalities Persons Driver 5-9 I 20 0 01 7 10-14 971 1 2 3 15 I 74 1 J 0 44 16 421 5051 1 4,045 17 I 778 951 2 6,962 18 I 1,388 _ 20 1,443 6 10,819 19 I 1,579 1,747 12 12,053 20 I 1,774 3 1,852 6 12,522 21-24 I 7,0521 1 7,615 37 4222 25-34 12,7811 22 13,569 49 92,177 35-44 I 10,4531 13 10,678 38 77,251 45-54 I 10,8431 18 10,750 48 75,995 55-64 I 8,023115 7,427 46 52,768 65-74 I 4,5461 81 4,025 26 28,446 75-84 I 2,192 49 2,008 31 1328 85-89 I 527 2J0 43 11 3,093 90+ I 782 1J5 393 6 32,400 63,330 1,078 63,510 321 472,210 NonMotorist 0-4 I 17 0 1� 51 5-9 I 118 1 5J 19 10-14 I 325 8'J 2 46 15 95 27J 0 141 16 87 1 2 �J 13 17 I 137 J J 0 191 18 I 113 3 2 18 19 I 104 0 41 19 20 I 113 1 4 J 1 21 21-24 419 15 0 79 25-34 I 736 15 3 2 1,482 Page 24 Create Date: 10/7/2013 NonMotorist 35-44 I 605 19 154 3 1,258 45-M I 976 5 229 3 1,690 55-64 I 646 27 1431 1 1,116 65-74 I 267 5 49 3 45 75-84 I 87 _�4 1 15 85-89 I 26 -� 0 3 90+ 4 3 2� 43 4,935 105 1,376 19 9,189 Passenger 0-4 I 1,8051 1,676 _ 6 18,640 5-9 I 1,7141 2,070 4 20,669 10-14 I 1,8391 2,394 5 24,165 15 I 392 _�2 6261 2 5,925 16 503 _�6 7511 3 6,389 17 I 563 1 831 5 6,576 18 I 561 881 5 6,477 19 I 549 8111 5 5,871 20 I 604 83 5,390 21-24 I 2,054130 2,665 10 17,945 25-34 I 2,8791 3,981 21 25,630 35-44 I 1,7271 3,019 24 17,154 45-54 I 1,6621 16 3,415 26 16,559 55-64 I 1,0681 2,742 26 11,882 65-74 I 635 15 2,020 8,263 75-84 404 1,205 24 4,6351 85-89 I 107 30 9 1,228 90+ ( 620 4 8 11,388 19,686 169 31,184 207 214,786 Pedestrian 0-4 I 130 78 1 25 5-9 I 143 91 2 26 10-14 I 233 4 15 6 43 15 I 80 1 55 1 15 16 I 83 5 17 Page 25 Create Date: 10/7/2013 Pedestrian 17 I 83 �4i( _ 3 17 18 I 91 _ 74 0 1 19 I 97 611 3 184 20 I 7 5 6G 0 1 21-24 I 360 19 21 11 7 25-34 584 45 42 15 1,237 35-44 I 512 3 331 19 1,062 45-54 I 689 22 20 1,371 55-64 I 480 5 35 21 1,042 65-74 I 267 29 2611 11 621 75-84 I 156 1611 19 40 85-89 53 311 5 10 90+ I 78 6 59 0 371 4,196 322 2,959 138 8,883 Grand Total: 92,147 1,674 99,029 685 706,068 Page 26 Create Date: 10/7/2013 Age and Sex of MoWrcychsts in Gashes Age Group F Male Male I Female Female Total Injuries Fatalities Injuries Fatalities Persons Driver 5-9 I 3 JO 0 10-14 I 18 J 1 0 23 15 I - 6 - l 16 I 17 J�'I� 0 2 17 �./ J _J � 0 6 18 I 121 5 1 15 19 I 192 _�7 20 0 25 20 I 236 1 16 2 30 21-24 I 1,0291 55 68 1 1,283 25-34 I 1,431 9? 121 5 1,857 35-44 I 1,0891 4 12 5 1,436 45-54 I 1,3481 17 2 1,817 55-64 I 1,042 68 5 1,320 65-74 I 414 21 24 1 50 75-84 I 63 85-89 I J 0 90+ ,�I �,0,�I �(�J 7,070 395 652 22 9,153 Passenger 0-4 I3 0 11 0 5-9 I 0 2 10-14 I J 0 ill 0 4 15 I _ 1 _ 6 0 1 16 I 1 �, 0 1 17 8 18 5 � d 2 31 19 I J �}1 0 2 20 30 20 0 2 21-24 I 14 0 65l 0 10 25-34 I _ 9 99 4 1 Page 27 Create Date: 10/7/2013 Passenger 35-44 I 6 161 45-54 I 14 0 17 9 241 55-64 I 3 0 100 _ 5 14 65-74 I 1 25 3 3 75-84 I0 0 1 1 84 0 657 30 1,036 Grand Total: 7,154 395 1,309 52 10,189 Page 28 Create Date: 10/7/2013 Pedesl� and Bicyclists Drinking in dashes Injury Severity Number Number Percent Persons Drinking Drinking Bicyclist Fatal(within 30 days) 1131 351 30.97%1 Incapacitating 1 8801 521 5.91%1 Non-Incapacitating 1 2,9141 1071 3.67%1 Non-Traffic Fatality 1 11 01 0.00%1 None 1 3431 171 4.96%1 Not Specified 1 71 11 14.29%1 Possible 1 2,1981 451 2.05%1 6,456 257 3.98 Other Cyclist Fatal(within 30 days) 1 21 01 0.00%1 Incapacitating 1 121 11 8.33%1 Non-Incapacitating 1 371 01 0.00%1 None 1 101 01 0.00%1 Possible 1 221 01 0.00%1 83 1 1.20 Other Pedestrian (wheelchair, person in a building, skater, pedestrian conveyance, etc.) Fatal(within 30 days) 1 121 21 16.67%1 Incapacitating 1 791 31 3.80%1 Non-Incapacitating 1 1701 61 3.53%1 None 1 2651 21 0.75%1 Not Specified 1 91 01 0.00%1 Possible 1 1641 21 1.22%1 699 15 2.15 Pedestrian Fatal(within 30 days) 1 4631 1561 33.69%1 Incapacitating 1 1,6511 2111 12.78%1 Non-Incapacitating 1 3,0111 2581 8.57%1 Non-Traffic Fatality 1 191 81 42.11%1 Page 29 Create Date: 10/7/2013 None I 6851 461 6.72%I Not Specified I 181 11 5.56%I Possible 2,3391 1211 8,186 801 9.78 Grand Total: 15,424 1,074 6.96 Page 30 Create Date: 10/7/2013 Pedestrians and Bkyd sts Drinking in Crashes by Age Group Age Group Number Number Percent Persons Drinking E.Drinking Bicyclist 0-4 1 211 01 0.00%1 5-9 1 1671 01 0.00%1 10-14 1 4211 01 0.00%1 15-19 1 7321 61 0.82%1 20-24 1 7401 171 2.30%1 25-34 1 9781 301 3.07%1 35-44 1 7601 381 5.00%1 45-54 1 1,2211 971 7.94%1 55-64 1 7661 521 6.79%1 65-74 1 2961 51 1.69%1 75-84 1 961 11 1.04%1 85-89 1 201 01 0.00%1 90+ 1 2371 ill 4.64%1 Unknown 1 11 01 0.00%1 6,456 257 3.98 Other Cyclist 0-4 1 31 01 0.00%1 5-9 1 61 01 0.00%1 10-14 1 121 01 0.00%1 15-19 1 101 01 0.00%1 20-24 1 91 01 0.00%1 25-34 1 101 01 0.00%1 35-44 ( 111 11 9.09%1 45-54 1 91 01 0.00%1 55-64 1 51 01 0.00%1 65-74 1 51 01 0.00%1 85-89 1 11 01 0.00%1 90+ 1 21 01 0.00%1 83 1 1.20 Page 31 Create Date: 10/7/2013 Other Pedestrian (wheelchair, person in a building, skater, pedestrian conveyance, etc.) 0-4 I 171 01 0. A 5-9 I 151 01 0.00%1 10-14 I 261 01 0.00%I 15-19 I 501 01 0.00%j 20-24 I 591 31 5.08%1 25-34 I 881 21 2.27%I 35-44 I 80I 11 1.25%I 45-54 I 991 31 3.03%1 55-64 I 102I 31 2.94%1 65-74 661 21 3.03%1 75-84 I 401 01 0.00%1 85-89 I 91 01 0.00%1 90+ I 48I 11 2.08%I 699 15 2.15 Pedestrian 0-4 I 2331 01 0.00%I 5-9 I 2451 1I 0.41%1 10-14 I 407I 11 0.25%I 15-19 8111 191 2.34%1 20-24 I 8131 961 11.81%I 25-34 I 1,149I 1671 14.53%I 35-44 I 982I 1421 14.46%1 45-54 I 1,272I 2141 16.82%I 55-64 I 940I 1111 11.81%I 65-74 I 555 191 3.42%1 75-84 3601 41 1.11%1 85-89 I 941 21 2.13%1 90+ I 3231 251 7.74%I Unknown I 21 01 0.00%1 8,186 801 9.78 Grand Total: 15,424 1,074 6.96 Page 32 Create Date: 10/7/2013 Initial diver Actions Initial Driver Action Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage Ran off Roadway I 125 5.23% 2,106 1.58% 2,212 1.57% Unknown 276 11.55% 14,987 11.21% 27,4071 19.49% Operated MV in Erratic,Reckless I _55 2.47% 851 0.64% 904 0.64% or Aggressive Manner Operated MV in Careless or I 651 27.25% 50,088 37.46% 44,201 31.43% Negligent Manner Wrong Side of Wrong Way I 53 2.22% 541 0.40% 3631 0.26% Improper Turn I 36 1.51% 2,755 2.06% 3,0141 2.14% Followed too Closely I 1 0.50% 7,008 5.24% 5,1371 3.65% Disregarded Other Road I 1 0.04% 82 0.06% 0.06% Markings Improper Passing I J 0.50% 737 0.55% 1,181 0.84% Disregarded Other Traffic Sign I 0.38% 182 0.14% 15 0.11% Ran Red Light I 51 2.13% 4,803 3.59% 2,4631 1.75% Swerved or Avoided:Due to 10 0.42% 1,046 0.78% 1,002 0.71% Wind,Slippery Surface,MV, Object,Non.Motorist in Roadway,etc. Improper Backing I 30 1.26% 2,268 1.70% 7,4841 5.32% Exceeded Posted Speed 11 4.69% 526 0.39% 261 0.19% Other Contributing Action I 289 12.10% 13,911 10.40% 23,3281 16.59% Failed to Yield Right of Way I 40 16.91% 22,974 17.18% 12,7591 9.07% Drove too Fast for Conditions I 86 3.60% 3,069 2.30% 2,7511 1.96% Ran Stop Sign I 42 1.76% 2,201 1.65% 1,4241 1.01% Over Correcting/Over Steering I 19 0.80% 705 0.53% 6611 0.47% Failed to Keep in Proper Lane 11 4.69% 2,874 2.15% 3,8231 2.72% 2,389 133,714 140,620 Page 33 Create Date: 10/7/2013 +whes by Honr and Day Top number for each hour/day is the total crash count. Bottom number is the fatal crash count. Total Total 281,549 s -= 2,24.6 Midnight • __ _ = 30,086 4,842 8 2 5,196 11 3 4,238 8 4 •�- 3,614 7 5 3,931 6 6,357 91 7 _--- 5 8 12,635 6 9 - 10,892 56 10 11,297 11 12,779 59 Page 34 Create Date: 10/7/2013 Noon 14,681 71 13 14,697 6 14 16,627 83 15 17,955 93 16 - - 18,185 111 17 19,326 8 18 16,393 12 19 12,133 20 10,432 131 21 9,539 14 22 7,930 JAQI 23 6,470 10 Please note that some agencies experienced issues with electronic submissions of crash reports such that crashes were incorrectly stated to have occurred at midnight,therefore the crashes during the midnight hour shown here are exaggerated. Page 35 Create Date: 10/7/2013 Weather Conditions at Time of gash Weather Condition Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage Unknown I 0.09% 128 0.10% 1,7831 1.20% Blowing Sand,Soil,Dirt I 0.00% 0.00% 61 0.00% Clear I 1,662 74.00% 93,9551 72.20% 105,6521 70.82% Cloudy I 18.79% 22,873 17.58% 22,281 14.94% Fog,Smog,Smoke I 1.25% 662 0.51% 6791 0.46% Other,Eplain in Narrative I 0.36% 478 0.37% 3,856 2.58% Rain I 124 5.52% 11,997 9.22% 14,881 9.98% Severe Crosswinds I 0.00% 0.02% 291 0.02% Sleet/Hail/Freezing Rain I 0.00% 10 0.01% 81 0.01% 2,246 130,128 149,175 Road Surf am Cm&fions at Time of Crash Road Surface Condition Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage Unknown I 0.09%1 137 0.11% 1,815 1.22 Dry I 1,993 88.74% 109,6711 84.28% 119,564 80.15% Ice/Frost I 0.00% 10 0.01% 81 0.01% Mud,Dirt,Gravel I 0.40% 297 0.23% 52SI 0.35% OR I 0.04% 0.02% 161 0.01% Other,Explain in Narrative I 0.18% 101 0.08% 7711 0.15% Sand I 0.04% 100 0.08% 1041 0.07% Unknown I 0.18% 486 0.37% 3,899 2.61% Water(standing/moving) 0.13% 105 0.08% 1651 0.11% Wet I 229 10.20% 19,198 14.75%1 22,8551 15.32% 2,246 130,128 149,175 Page 36 Create Date: 10/7/2013 Conditions at Time of gash Lighting Condition Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage NOT SPECIFIED I 0.09% 128 0.10%1 1,7511 1.17% Dark-Lighted I 634 28.23% 24,9851 19.20% 33,1031 22.19% Dark-Not Lighted I 577 25.69% 9,089 6.98% 10,7091 7.18% Dark-Unknown Lighting I 0.40% 172 0.13% 4631 0.31 Dawn I_ 1.91% 2,009 1.54% 2,3521 1.58% Daylight I 904 40.25% 89,034 68.42% 91,8291 61.56% Dusk I 3.03% 4,188 3.22% 4,2941 2.88% Other,Explain in Narrative I 0.22% 71 0.05% 2021 0.14% Unknown I 0.18% 452 0.35% 4,4721 3.00% 2,246 130,128 149,175 R atTme of Crash Road Contributing Fatal Percent Injury Percent Vehicle or Percent Circumstance Fatal Injury Property Property Damage Damage Debris I 0.17%1 321 Non-Highway Work I 0.00% 24 0.02% 34 0.02% None I 2,170 94.47% 125,999 93.66%1 138,867 91.01 Obstruction in Roadway I 0.22%1 405 Other,Explain in Narrative I 16� 0.70% 1,194 0.89% 1,316 Road Surface Condition(wet,icy,I 45� 1.96% 4,066 3.02% 4,349 2.85 snow,slush,etc.) Rut,Holes,Bumps I 0.26% 200 0.15% 149 0.10 Shoulders (none,low,soft,high) I 0.17% 87 0.06% 92 0.06% Traffic Control Device I 1I 0.04% 182 0.14% 119 0.08 Inoperative,Missing or Obscured Unknown I 5,782 3.79 Work Zone(construction/ 1 0.78/° 989 0.74/° 1,116 0.73/° maintenance/utility) Worn,Travel Polished Surface I 0.00% 73 0.05% 26 2,297 134,527 152,576 Page 37 Create Date: 10/7/2013 Traffic Crashes by Road Type Road Type Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage NOT SPECIFIED I 11 0.04% 144 0.11%, 1,410 0.95% County I 47'7� 21.24%1 18.72%1 22,352 14.98% Forest Road I 0.09% 53 0.04%1 4 0.03% Interstate I 263 1191% 11,230 8.63% 14,952 10.02% Local I 446I 19.86%1 27.62%1 41,817 28.03% Other,Explain in Narrative I 0.31% 936 0.72% 3,476 2.33 Parking Lot I 0.40% 3,975 3.05% 17,575 11.78% Private Roadway I 17� 0.76% 976 0.75% 2,246 1.51% State I 648I 28.85% 37,764 29.02% 32,371 21.70% Turnpike/Toll I 33�33 1.47% 1,819 1.40% 2,956 1.98% U.S. I 343 15.27% 12,927 9.93% 9,971 6.68% 2,246 130,128 149,175 Page 38 Create Date: 10/7/2013 Vehicle Initial Hwmi#ul Event Vehicle Initial Harmful Fatal Percent Injury Percent Vehicle or Percent Event Fatal Injury Property Property (Collision With) Damage Damage Unknown I 0.09% 182 0.14% 1,8851 1.26% Animal I 0.31% 412 0.32% 1,1091 0.74% Bridge Overhead Structure I 0.04% 21 0.02% 761 0.05% Bridge Pier or Support I 0.31% 39 0.03% 421 0.03% Bridge Rail I `� 0.18% 144 0.11% 1611 0.11% Cable Barrier I 0.04% 55 0.04% 1751 0.12% Cargo/Equipment Loss or Shift I 0.00% 55 0.04% 2491 0.17% Concrete Traffic Barrier I 31 1.38% 1,569 1.21% 2,4001 1.61% Cross Centerline I 0.00% 0.00% 11 0.00% Cross Median I_J 0.04% 0.00% 31 0.00% Culvert I 0.58% 238 0.18% 2671 0.18% Curb I 75 3.34% 1,430 1.10% 2,0201 1.35% Ditch I 1.34% 827 0.64% 1,0601 0.71% Downhill Runaway I 0.00% 0.00% 01 0.00 Embankment I 0.45% 175 0.13% 1821 0.12% Equipment Failure(blown tire, I 0.00% 0.00% 21 0.00% brake failure,etc.) Fell/Jumped From Motor Vehicle I 0.53% 676 0.52% 391 0.03% Fence I 1 0.76% 673 0.52% 2,0821 1.40% Fire/Explosion I 0.09% 14 0.01% 1551 0.10% Guardrail End I 0.27% 159 0.12% 2421 0.16% Guardrail Face I 51 2.27% 1,564 1.20% 2,5261 1.69% Immersion I 0.04% 58 0.04% 1271 0.09% ImpactAttenuator/Crash I 0.22% 204 0.16% 2691 0.18% Cushion Jackknife I 0.00% 88 0.07% 1661 0.11% Mailbox I 0.40% 353 0.27% 1,2791 0.86% Motor Vehicle in Transport I 890 39.63% 94,405 72.55% 96,6091 64.76 Other Fixed Object(wall, I 1.07% 1,357 1.04% 3,2871 2.20% building,tunnel,etc.) Other Non-Collision I 3� 1.69%1 1.36%1 1,5581 1.04% Page 39 Create Date: 10/7/2013 Other Non-Fixed Object Collision 0.80% 686 0.53% 1,7021 1.14% with Non-Fixed ObjectNon-Collision Fixed Object Other Post,Pole,or Support I 0.71% 498 0.38% 1,2341 0.83 Other Traffic Barrier I 0.22% 139 0.11% 3481 0.23% Overturn/Rollover I 159 7.08% 4,242 3.26% 2,2501 1.51% Parked Motor Vehicle I 0.76% 1,859 1.43% 17,4601 11.70% Pedalcycle I 103 4.59% 4,330 3.33% 9261 0.15% Pedestrian I 428 19.06% 6,343 4.87% 26,51 0.18 Railway Vehicle(train,engine) I 0.18% 35 0.03% 44 0.03% Ran into Water/Canal I 0.36% 1` 0.11% 3331 0.22% Ran Off Roadway,Left I 0.00% 0.00% 41 0.00% Ran Off Roadway,Right I 0.00% 0.01% 91 0.01% Struck By Falling,Shifting Cargo 0.00% 70 0.05% 4601 0.31% or Anything Set in Motion by Motor Vehicle Thrown or Falling Object I 0.00% 43 0.03% 1241 0.08 Traffic Sign Support I 0.85% 457 0.35% 1,2121 0.81% Traffic Signal Support I 0.09% 70 0.05% 1371 0.09% Tree(standing) I 171 7.61% 3,066 2.36% 2,8911 1.94% Utility Pole/Light Support I 2.63% 1,600 1.23% 2,3441 1.57% Work Zone/Maintenance I 0.00% 66 0.05% 1611 0.11% Equipment 2,246 130,128 149,175 Page 40 Create Date: 10/7/2013 Crashes by Vehicle Type Vehicle Type Fatal Percent Injury Percent Vehicle or Percent Fatal Injury Property Property Damage Damage Unknown I 708 16.82% 17,401 6.65% 17,532 6.23% All Terrain Vehicle(ATV) I 0.43% 412 0.16% 1221 0.04 Bus 1 0.40% 1,235 0.47% 4,546 1.62% Cargo Van(10000 lbs or less) I 0.45% 1,295 0.50% 1,637 0.58% Farm Labor Vehicle I 0.02% 41 0.02% 611 0.02% Low Speed Vehicle I 0.19% 239 0.09% 1831 0.07% Medium/Heavy Trucks(more I 174 4.13% 3,563 1.36% 14,0381 4.99 than 10000 lbs) Moped I 0.24% 1,191 0.46% 1561 0.06% Motor Coach I 0.00% 0.02% 931 0.03% Motor Home I 0.14% 125 0.05% 1741 0.06% Motorcycle I 483 11.48% 8,195 3.13% 1,002 0.36% Other Light Trucks(10000 lbs or I 2 0.69% 1,782 0.68% 2,5401 0.90% less) Other,Explain in Narrative I 0.69% 1,158 0.44% 1,627 0.58% Passenger Car I 1,527 36 28% 144,140 55.12% 144,734 51.46% Passenger Van I 169 4.02% 13,617 5.21% 12,236 4.35% Pickup I 461 10.95% 27,871 10.66% 29,102 10.35% Sport Utility Vehicle(SUV) I 523 12.43% 36,4691 13.95% 32,876 11.69% Unknown I 0.64% 2,742 1.05% 18,574 6.60% 4,209 261,520 281,233 Page 41 Create Date: 10/7/2013 Total Crash History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 4,2621 3,M 4,6061 21.24% 4,222.33 Baker I 313i 244I 2951 20.90%1 284.001 Bay I 3,251 3,4t41 3,281 7.79%1 3,192.33 Bradford I 320 78 -61.39%1 202.67 Brevard I 5,472I 4,348� 5,718 31.51% 5,179.33I Broward 23,197 31,1511 34.29%1 27,446.67 Calhoun I 14(►I 1731 1421 15.45%1 135.001 Charlotte I 1 1,314 1,443 9.82%1 1,455.33 Citrus 1,0031 1,2831 27.92% 1,086.67 Clay I 106 1 1,9091 37.04%1 1,662.00 Collier I 1 1,795I 2,7031 50.58%1 2,162.33I Columbia I 1,0$71 1,1001 1,1091 0.82%1 1,098.67 Desoto I 30 265I 3301 24.53%1 301.300311 Dixie I 128 128, 1401 9.38%1 132.001 Duval I 14,466� 12,5311 18,556 48.08%1 15,184.33 Escambia I 5,3111 YMA 5,4051 0.37%1 5,367.00 Flagler I 734 619 8361 35.06%1 729.67 Franklin I 99I 103 11.96%1 98.00 Gadsden I 630+ 5631 30.32% 541.67I Gilchrist I 13A 126I 1411 11.90%I 132.33I Glades I 131 101 1521 47.57%1 128.6711 Gulf I 4 4 1211 44.05%I 101.001 Hamilton I 237 201 2031 1.50%1 213.33011 Hardee I 33J 30 305 -1.29% 315.30311 Hendry I 242) 2841 8.40%1 262.067/11 Hernando I 1,4341 1,841 1,995 8.37%1 1,756.67 Highlands I 7281 691 896 30.80%1 769.67 Hillsborough I 18,176 18,008I 20,1801 12.06% 18,788.00 Holmes I 2211 171 2141 21.59% 203.67 Page 42 Create Date: 10/7/2013 Indian River I l,tt2 1,1921 49.00%1 1,006.67 Jackson 511 6211 20.58% 595.33 Jefferson I 10 171 2341 30.73%1 199.00 Lafayette I 61 31 381 2.70%1 47.33 Lake I 2,695 Z4311 3,012 23.90%1 2,712.67I Lee I 5 4,411 6,084 37.74%I 5,251.67I Leon I 5,2601 4, 5,5331 12.30%1 5,240.00 Levy 439 -1.79% 453.67 11 Liberty I 911 75 69 -8.00% 78.33311 Madison I 391 3231 14.54%1 332.00 Manatee I 4XM 4,06f 4,4801 10.34%1 4,271.67 Marion I 3,$54 3,790� 4,4221 16.68%1 4,022.00 Martin I 1,541 1,20 1,6171 34.53% 1,456.00 Miami-Dade I 46,10q 4Z,2'191 50,8181 20.20% 46,399.00 Monroe I 1,3601 1,2.0 1,671 32.30%1 1,431.33 Nassau I 61 421 6331 50.36%1 563.00 Okaloosa I 2,195I 2,121 2,5121 18.43%1 2,276.00 Okeechobee I 3631 3111 3871 24.44%1 353.67I Orange I 19,4M 1" 21,460 12.43%1 20,009.33 Osceola I 3,52b 2,952! 3,325 12.64%1 3,267.67 Palm Beach I 13, 11,542I 16,7261 44.91% 14,083.33 Pasco I 5, 5,610I 6,0011 6.97%1 5,846.67 Pinellas I 13,6831 10,878 13,6011 25.03%1 12,720.67 Polk I 5,9681 5,131 6,624 29.05%1 5,908.33I Putnam I 76M 8671 17.16%I 790.067111 Santa Rosa I 1 1 1,666 11.14%I 1,563.33 Sarasota I 4,1031 3, 4,425 19.53%I 4,076.67 Seminole I Z761 3,190I 4,302 34.86%I 3,418.00 St.Johns I 1,308I 1,745 2,3901 36.96%1 1,814.331 St.Lucie I 2,309I 2,1631 2,5631 18.49%1 2,345.00 Sumter I 78A 7161 579 -19.13%1 692.33 11 Suwannee I 4% 4411 4861 10.20%1 472.67/11 Taylor I 24 1911 2321 21.47%1 227.30311 Union I 125 106 104 -1.89%1 67 Page 43 Create Date: 10/7/2013 Unknown 0 -100.00% 2.33 Volusia I 6256 5,248I 6,5411 24.64%1 6,015.001 Wakulla I 253, 21A 2681 26.42%1 244.33 Walton I 64A 9091 29.86%1 750.33 11 Washington I 24A 243I 2531 4.12%1 246.331 253,325 228,471 281,549 18.85 254,448 Page 44 Create Date: 10/7/2013 Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 261 271 361 33.33%1 29.671 Baker 1 121 121 8 -33.33%1 10.67 Bay 1 181 241 331 37.50%1 25.001 Bradford 1 7' 91 4 -55.56% 6.67 11 Brevard 1 641 721 52 -27.78% 62.671 Broward 1 1791 1(0 1821 13.75%1 173.671 Calhoun 1 4 -20.00% 4.00 Charlotte 1 211 261 18 -30.77% 21.067/11 Citrus 1 251 171 191 11.76%1 20.33 11 Clay 141 151 14 -6.67% 14.33 Collier 1 431 401 33 -17.50%1 38.67 Columbia 1 251 311 9 -70.97% 21.671 Desoto I 7 -12.50%1 6.33 Dixie I 101 100.00%1 6.001 Duval 1 1101 91 1191 32.22%1 106.33 11 Escambia 451 40 -11.11%1 40.33 Flagler 1 241 4 15 -31.82% 20.331 Franklin 1 21 41 100.00%1 4.001 Gadsden 1 111 A 161 77.78% 12.001 Gilchrist 1 41 4I 2 -50.00%1 3.331 Glades 1 21 51 4 -20.00%1 3.671 Gulf 1 21 31 411 33.33%1 3.001 Hamilton 1 81 81 11 37.50%1 9.001 Hardee 1 141 111 7 -36.36% 10.671 Hendry 1 101 91 6 -33.33% 8.33 Hernando 1 281 291 24 -17.24% 27.00 Highlands 1 191 111 171 54.55%1 15.67 Hillsborough 1 1531 1511 1781 17.88%1 160.067/11 Holmes 1 41 'I 3 -57.14% 4.6711 Page 45 Create Date: 10/7/2013 Indian River 1 261 9 -55.00%1 18.331 Jackson 1 101 181 11 -38.89% 13.00 Jefferson 1 6I 81 6 -25.00% 6.6711 Lafayette 1 2i 31 1 -66.67%1 2.00 Lake 1 401 451 35 -22.22% 40.00 Lee 1 61 751 64 -14.67%1 68.001 Leon 1 361 371 421 13.51%1 38.33 Levy 1 141 141 101 -28.57% 12.671 Liberty 1 11 31 1 -66.67% 1.671 Madison 1 21 91 50.00%1 5.671 Manatee 1 441 4Q1 491 22.50%1 44.33 If Marion 1 731 621 651 4.84%1 66.67 Martin 1 271 20 291 3.57%1 28.001 Miami-Dade 1 2461 2481 233 -6.05% 242.33 11 Monroe 1 211 191 17 -10.53%1 19.00 Nassau 1 211 121 11 -8.33%1 14.671 Okaloosa 1 201 221 251 13.64%1 22.33 Okeechobee 1 131 51 8 60.00% 8.67 Orange 1 1321 13a1 1501 15.38%1 137.33 11 Osceola 1 341 461 28 -39.13%1 36.00 Palm Beach 1 1231 1131 1311 15.93%1 122.331 Pasco 1 751 641 741 15.63%1 71.00 Pinellas 1 961 1121 99 -11.61% 102.331 Polk 1 $ 931 88 -5.38%1 88.067/11 Putnam 1 2� 171 221 29.41%1 20.331 Santa Rosa 1 211 4 19 -13.64%1 20.671 Sarasota 1 411 371 471 27.03%1 41.671 Seminole 1 321 481 23 -52.08%1 34.331 St.Johns 1 211 271 311 14.81% 26.331 St.Lucie 1 291 221 271 22.73%1 26.00 Sumter 1 231 161 191 18.75%1 19.33 Suwannee 1 121 191 13 -31.58% 14.671 Taylor 1 61 11 121 1,100.00%1 6.331 Union 1 61 11 31 200.00% 3.33 Page 46 Create Date: 10/7/2013 Unknown 01 0.00%1 0.00 Volusia I 106 86I 971 12.79%1 96.33 Wakulla I 4I 81 100.00% 5.33 Walton I 2$I 17I 15 -11.76%1 20.001 Washington ill 83.33% 8.001 2,445 2,403 2,421 0.74 2,423 Page 47 Create Date: 10/7/2013 TI1July H1StO2'37 by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 3,1201 Z976I 3,3911 13.94% 3,162.33I Baker 2781 0.36%1 283.67111 Bay I 2,298I Z420I 2,264 -6.45%1 2,327.33 Bradford I 2851 214 91 -57.48%1 196.67 Brevard I 4,1291 3,4611 4,107 18.67%1 3,899.O01 Broward I 20,6351 17,9571 21,348 18.88%1 19,980.00 Calhoun I 1031 1051 124 18.10%1 110.67I Charlotte I 1 1,1221 1,237.33 Citrus I $ 1 9941 5.86%1 929.33 11 Clay I 1,41 1,2471 1,354 8.58%1 1,349.67I Collier I 1,6821 1,6681 1,9841 18.94%1 1,778.00� Columbia I 80 901 9071 0.55%1 890.67 Desoto I 1wj 2851 52.41%1 244.67 Dixie I 851 861 1011 17.44%1 90.67 Duval I 9,8331 12,179 32.28%1 10,406.33'1 Escambia I 4 1 3,9251 4,2861 9.20%1 4,092.O01 Flagler I 7091 6691 765 14.35%1 714.3311 Franklin I 80 64 681 9.68%1 72.67I Gadsden I 5741 3731 4821 29.22%1 476.3311 Gilchrist I 94 81 911 3.41%I 90 n Glades I 14 72 1141 58.33%1 96.671 Gulf I 91 901 65 -27.78%I 82.33I Hamilton I 1581 1731 132 -23.70%I 154.331 Hardee I 236I 271 188 -32.13%1 233.67 Hendry I 2341 2391 233 -2.51%1 235.3311 Hernando I 1,5911 1,900I 1,850 -2.63%1 1,780.33 Highlands I 5711 5251 6241 18.86% 573.030311 Hillsborough I 17,1811 16,2831 16,145 -0.85% 16,536.33 Holmes I 1581 151 148 -2.63% 152.67 Page 48 Create Date: 10/7/2013 Indian River 1 9581 7281 881 21.02%1 855.67 Jackson 1 4461 4041 474 17.33% 441.331 Jefferson 1 1301 1291 35.79%1 118.00 Lafayette 1 581 301 22 -26.67% 36.671 Lake 1 2,4411 2,{?961 2,3421 11.74%1 2,293.001 Lee 1 4,%41 4,1351 4,9511 19.73%1 4,550.001 Leon 1 3,57f11 3,1441 3,1851 1.30%1 3,299.67 Levy 1 36A 347 312 -10.09% 340.331 Liberty 1 661 591 681 15.25%1 64.33 Madison 1 2971 2041 184 -9.80%1 228.331 Manatee 1 3,1 3,216 3,366 4.66%1 3,251.33 Marion 1 3,4421 3,0231 3,3101 9.49%1 3,258.331 Martin 1 1=31 9 61 1,0511 8.80%1 1,080.001 Miami-Dade 1 29,2691 28, 581 29,551 3.12%1 29,159.331 Monroe 1 1,1tf61 1,004I 1,308 30.28% 1,139.33 11 Nassau 1 4711 5091 12.11%1 478.001 Okaloosa 1 1,5011 1,561 1,8141 18.87%1 1,613.671 Okeechobee 1 3M1 2621 2791 6.49%1 281.331 Orange 1 15,0121 13,8241 14,4401 4.46%1 14,425.33 Osceola 1 2,9401 2,M1 2,930 22.70%1 2,752.671 Palm Beach 1 12,4321 10,5271 12,156 15.47%1 11,705.001 Pasco 1 6,3001 5,6741 5,888 3.77%1 5,954.001 Pinellas 1 9,5501 8,8261 9,1461 3.63%1 9,174.00 Polk 1 5,0221 4,4741 4,8231 7.80%1 4,773.001 Putnam 1 834 7101 7151 0.70%1 752.331 Santa Rosa 1 1,5191 1,b391 1,761 7.44%1 1,639.671 Sarasota 1 3,0331 2,69s1 3,0761 14.14%1 2,934.671 Seminole 1 2,2461 Z3531 2,820 19.85%1 2,473.001 St.Johns 1 1,3851 1,8501 2,112 14.16%1 1,782.331 St. Lucie 1 1,8931 2,0071 2,0251 0.90%1 1,975.001 Sumter 1 79A 6791 443 -34.76% 638.00 Suwannee 1 3841 3451 3711 7.54%1 366.67 Taylor 1 1551 1791 1881 5.03%1 174.001 Union 1 1241 971 85 -12.37% 102.001 Page 49 Create Date: 10/7/2013 Unknown I 01 41 0 -100.00%1 1.33 Volusia I 5,0051 4,4601 4,702 5.43%1 4,722.331 Wakulla I 2151 1551 201 29.68% 190.33 Walton I 5371 5821 593 1.89%1 570.67I Washington I 1771 2091 2221 6.22%1 202.67I 196,037 181,734 198,153 8.29 191,975 Page 50 Create Date: 10/7/2013 Property Damage Only History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 211071 1,7721 2,3741 33.97%1 2,084.33 Baker 1 1451 751 139 85.33% 119.671 Bay 1 1,7731 1,5531 1,7651 13.65%1 1,697.00 Bradford 1 1421 701 16 -77.14%1 76.00 Brevard 1 Z67A 2,0251 2,890 42.72%1 2,529,671 Broward 1 14,1811 111:9n 16,6651 46.43%1 14,075.671 Calhoun 1 691 531 561 5.66% 59.331 Charlotte 1 7111 46.30%1 634.00 Citrus 1 3871 3781 5771 52.65%1 447.33 Clay 1 7601 5411 981 81.33%1 760.67 Collier 1 g641 1,306 96.10%1 945.331 Columbia 1 5121 5231 5511 5.35%1 528.67 DeSoto 1 1431 141 1521 8.57%1 145.00 Dixie 1 611 671 681 1.49% 65.331 Duval 1 7,8391 6,2401 10,3921 66.M% 8,157.00 Escambia 1 201 2,M 2,786 -3.30%1 2,849.67/11 Flagler 27A 17A 3351 92.53%1 260.67 Franklin 1 44 441 581 31.82% 48.001 Gadsden 1 31A 2021 2681 32.67%1 260.001 Gilchrist 1 601 741 811 9.46%1 71.671 Glades 1 641 471 851 80.85% 65.331 Gulf 1 381 281 671 139.29%1 44.331 Hamilton 1 1351 961 1241 29.17%1 118.331 Hardee 1 1711 1471 1731 17.69%1 163.67 Hendry 1 991 1131 1261 11.50%1 112.67/11 Hernando 1 4521 6201 8391 35.32%1 637.001 Highlands 1 3611 3281 448 36.59%1 379.001 Hillsborough 1 7,3281 7,38s1 9,074 22.80%1 7,930.331 Holmes 1 1201 1201 46.34%1 107.33 Page 51 Create Date: 10/7/2013 Indian River 1 4371 3091 6101 97.41%1 452.001 Jackson 1 354 3471 33.46%1 319.671 Jefferson 1 991 ig 1421 35.24%1 115.33 11 Lafayette 1 341 161 181 12.50%1 22.671 Lake 1 1,1741 1,0221 1,4721 44.03%1 1,222.671 Lee 1 2,2571 1,6161 2,7621 70.92%1 2,211.671 Leon 12 3,1961 20.29%1 2,877.33 11 Levy 1 2351 224 219 -1.35% 225.33 Liberty 1 521 311 26 -16.13% 36.331 Madison 1 2081 1411 2021 43.26%1 183.6711 Manatee 1 2,1901 1,%01 2,2711 15.87%1 2,140.331 Marion 1 1,7321 1,&% 2,320 24.87%1 1,970.001 Martin 1 7301 5041 8521 69.05%1 695.331 Miami-Dade 1 27,27(31 23,6111 31,525 33.52%1 27,468.671 Monroe 1 5681 5131 7051 37.43%1 595.33 Nassau 1 2871 1371 3191 132.85% 247.671 Okaloosa 1 1,1511 110181 1,253 23.08%1 1,140.671 Okeechobee 1 14A 1351 2021 49.63%1 161.331 Orange 1 9,6431 9,8 11,7231 18.82%1 10,410.67 Osceola 1 1,6781 1,4181 1,5141 6.77%1 1,536.67 Palm Beach 1 6,W11 4,5501 8,606 89.14%1 6,385.671 Pasco 1 2,2901 2,2821 2,536 11.13%1 2,369.331 Pinellas 1 7,0811 4,5481 7,092i46.29% 6,340.331 Polk 1 2,6451 Z1611 3,361 55.53%1 2,722.33 Putnam 1 2771 2851 3931 37.89%1 318.331 Santa Rosa 1 6191 5561 6961 25.18%1 623.671 Sarasota 1 2,0801 1,7761 2,2471 26.52%1 2,034.331 Seminole 1 1,2951 1,5381 2,345 52.47%1 1,726.001 St.Johns 1 4921 6111 1,173 91.98%1 758.671 St.Lucie 1 9941 8261 1,232 49.15%1 1,017.33 Sumter 1 3041 2781 274 -1.44% 285.33 Suwannee 1 23J 2001 248 24.00% 226.67 Taylor 1 154 0 1041 26.83%1 112.671 Union 1 481 401 44 10.00%1 44.00 Page 52 Create Date: 10/7/2013 Unknown I 0 -100.00% 1.33 Volusia I 2, 2,1 3,1781 49.34%1 2,670.67 Wakulla 10g 1301 30.00%1 116.00 Walton I 2M 3211 4931 53.58%1 360.67I Washington I 136� 1111 1181 6.31%1 121.67I 125,458 108,291 149,175 27.41 127,641 Page 53 Create Date: 10/7/2013 Alcohol Suspected-Related History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 2411 2771 256 -7.58%1 258.001 Baker 1 541 411 38 -7.32% 44.33 Bay 1 3" 3771 3771 0.00% 380.671 Bradford 1 301 281 12 -57.14%1 2333311 Brevard 1 5071 4111 472 14.84%1 463.33 11 Broward 1 1,4261 1,1891 1,2781 7.49%1 1,297.67 Calhoun 1 261 201 17 -15.00%1 21.001 Charlotte 1 1311 951 1131 18.95%1 113.001 Citrus 1 1141 1" 101 -7.34% 108.00 Clay 1 1511 1411 16.53%1 137.67/11 Collier 1 2591 2651 294 10-94%1 272.671 Columbia 1 1141 961 1061 10.42%1 105.331 DeSoto 1 311 371 371 0.00% 35.00 Dixie 1 201 171 231 35.29%1 20.00 Duval 1 1,0561 1,0471 1,127 7.64%1 1,076.67 Escambia 1 5031 5321 473 -11.09% 502.671 Flagler 1 0 871 1021 17.24%1 89.67 Franklin 1 211 201 211 5.00%1 20.067/11 Gadsden 1 731 501 501 0.00%1 57.671 Gilchrist 1 211 111 ill0.00%1 14.331 Glades 1 141 'I 8 -11.11%1 10.33 Gulf 1 131 201 13 -35.00%1 15A Hamilton 1 231 141 221 57.14%1 19.671 Hardee 1 371 271 13 -51.85% 25.67 Hendry 1 351 331 351 6.06%1 34.33 11 Hernando 1 1091 1691 143 -15.38%1 140.33,3311 Highlands 1 84) 641 841 31.25% 77.33 Hillsborough 1 1,3631 1,4241 1,4781 3.79%1 1,421.67 Holmes 1 181 181 13 -27.78% 16.33 Page 54 Create Date: 10/7/2013 Indian River 1 1111 881 113 28.41% 104.001 Jackson 1 441 511 38 -25.49% 44.301311 Jefferson I 241 M221 10.00%1 22.00 Lafayette I 61 1 -83.33% 4.331 Lake 1 2411 191 248 28.50%1 227.331 Lee 1 521 5701 6201 8.77%1 570.001 Leon 1 304) 3521 3531 0.28%1 336.331 Levy 1 551 4 26 -51.85 Liberty 1 131 111 121 9.09%1 12.00 Madison 1 361 321 27 -15.63%1 31.67 Manatee I M11 2841 3041 7.04%1 299.67 Marion 1 23A 24 232 -12.45%1 243.001 Martin 1 1* 1641 199121.34%1 173.671 Miami-Dade I 16291 1,523 -13.95% 1,640.67 Monroe 1 19� 1b61 1881 13.25%1 183.33 Nassau 1 64 441 731 65.91%1 59.671 Okaloosa 1 2721 2531 263 3.95%1 262.471 Okeechobee 1 511 281 361 28.57%1 38.33 Orange I 1,1861 9371 882 -5.87%1 1,001.67 Osceola 1 2161 1521 149 -1.97% 172.33 Palm Beach 1 1,1181 1,0231 1,102 7.72%1 1,081.00 Pasco 1 4311 4E61 4281 5.42%1 421.671 Pinellas 1 1,1831 1,1141 1,113 -0.09%1 1,136.671 Polk 1 4811 4191 400 -4.53%1 433.33 Putnam 1 1131 851 70 -17.65%1 89.331 Santa Rosa 1 1781 1511 123 -18.54%1 150.671 Sarasota 1 381 3151 3421 8.57%1 348.001 Seminole 1 3" 2781 252 -9.35%1 279.001 St.Johns 1 1611 2171 2501 15.21%1 209.3311 St. Lucie 1 1821 2041 200 -1.96% 195.33 Sumter 1 591 471 44 -6.38% 50.00 Suwannee 1 461 531 49 -7.55%1 49.331 Taylor 1 351 431 32 -25.58% 36.671 Union 1 151 121 10 -16.67% 12.033011 Page 55 Create Date: 10/7/2013 Unknown I 0 -100.00%1 0.671 Volusia I 664 511 5181 0.97% 564.33 Wakulla I 32 501 13.64%1 42.00 Walton 91 97 -2.02% 95.331 Washington 311 19.23%1 25.001 18,107 17,099 17,278 1.04 17,495 Page 56 Create Date: 10/7/2013 Alcohol Suspected-Related Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 3+ 9I 7 -22.22% 6.33 If Baker 1 7I 3 -40.00%1 5.00 Bay 1 91 131 201 53.85%1 14.00 Bradford 1 31 41 1 -75.00% 2.67 Brevard 1 271 29 19 -34.48% 25.00 Broward 461 37 -19.57% 41.001 Calhoun 1 31 2+ 41 100.00%1 3.00 Charlotte 1 51 51 0.00%1 5.33 Citrus 1 41 5I 61 20.00%1 5.00 Clay I 71 101 42.86%1 7.33 Collier 1 61 131 91 -30.77% 9.331 Columbia 1 41 i11 4 -63.64% 6.33 11 DeSoto 1 31 31 0.00%1 2.67 Dixie 1 11 21 61 200.00%1 3.00 Duval 1 501 411 631 53.66%1 51.33 11 Escambia 1 211 M _ 14 -30.00%1 18.33 Flagler 1 A g -11.11% 8.33 11 Franklin 1 2I 1 -50.00% 1.671 Gadsden 1 A 91 80.00%1 5.67 Gilchrist 1 01 11 0 -100.00%1 0.331 Glades 1 11 1 0.00% 0.671 Gulf 1 01 11 31 200.00%1 1.331 Hamilton 1 61 31 31 0.00%1 4.001 Hardee 1 61 YI 4 0.00%1 4.6711 Hendry 1 A 31 41 33.33%1 3.00 Hernando 1 61 61 61 0.00%1 6.00 Highlands 1 71 61 61 0.00%1 6.331 Hillsborough 1 491 631 60 -4.76%1 57.33 11 Holmes 1 11 01 21 0.00%1 1.001 Page 57 Create Date: 10/7/2013 Indian River 2 -75.00% 5.33 Jackson 1 3 2 -66.67% 3.67 Jefferson 1 2' 31 2.6711 Lafayette 1 Q� 11 0 -100.00% 0.33 Lake 1 151 1 13 -31.58% 15.671 Lee 1 211 # 21 -4.55%1 21.331 Leon 1 7I 1( 161 60.00%1 11.00 Levy 1 41 51 4 -20.00% 4.331 Liberty 1 11 11 0 -100.00% 0.67 Madison 1 01 41 2 _50.00%1 2.00 Manatee 1 11 151 201 33.33%1 18.00 Marion 1 171 191 11.76%1 21.331 Martin 1 81 1A 121 0.00%1 10.671 Miami-Dade 1 401 41 41 -16.33% 43.33 Monroe 41 33.33%1 6.67 Nassau 4 -33.33%1 4.67 Okaloosa 7 -22.22%1 7.67 Okeechobee 1 31 2 -33.33%1 3.331 Orange 1 61 481 501 4.17%1 52.67/11 Osceola 1 101 1( 6 -62.50% 10.67 Palm Beach 1 281 441 44 0.00%1 38.671 Pasco 1 2-1 171 201 17.65%1 21.33 Pinellas 1 41 471 481 2.13%1 45.00 Polk 1 271 301 20 -33.33% 25.67 Putnam 1 131 101 11 10.00%1 11.331 Santa Rosa 1 111 1t 7 -30.00%1 9.33 Sarasota 1 141 101 19 90.00%1 14.331 Seminole 1 11 181 8 -55.56%1 12.671 St.Johns 1 7I 121 11 -8.33%1 10.001 St. Lucie 1 41 1 101 25.00%1 7.33 Sumter 1 51 61 4 -33.33% 5.00 Suwannee 1 51 s1 61 20.00%1 5.33 Taylor 1 21 11 61 500.00%1 3.00 Union 1 11 01 01 0.00% 0.33 Page 58 Create Date: 10/7/2013 Unknown 01 0.00%1 0.001 Volusia I 32 21 331 13.79%1 31.33 Wakulla I 11 41 33.33%1 2.67 Walton I 71 11I 5 -54.55% 7.67 Washington 51 400.00%1 3.001 773 838 807 -3.84 806 Page 59 Create Date: 10/7/2013 Alcohol Suspected-Related Injury History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 1071 1131 1151 1.77% 111.67 Baker 1 331 26 -7.14%1 29.001 Bay 1 1571 1-4 151 -1.31%1 153.06/711 Bradford 1 191 171 ill -35.29% 15.67 Brevard 1 2Dq 1711 1981 15.79%1 191.33 Broward 1 6571 5331 5951 11.63%1 595.001 Calhoun 1 161 10 7 .-30.00%1 11.00 Charlotte 1 62.1 41 541 12.50% 54.67/11 Citrus 1 511 461 481 4.35%1 48.33311 Clay 1 60 6A 661 6.45%1 65.331 Collier 1 1221 1361 134 -1.47% 130.671 Columbia 1 651 451 651 44.44%1 58.3311 DeSoto 1 10 10 17 -5.56%I 17.67 Dixie 1 111 91 141 55.56%1 11.331 Duval 1 4091 4151 4781 15.18%1 434.00 Escambia 1 2-621 2551 230 -9.80%1 249.00 Flagler 1 0 571 54 -5.26% 52.33 11 Franklin 1 101 91 11 22.22%1 10.00 Gadsden 1 461 27 40.00%I 34.33 Gilchrist 1 111 61 4 -33.33%1 7.001 Glades 1 $1 31 51 66.67%1 5.331 Gulf 1 91 151 7 -53.33%1 10.-1 Hamilton 1 151 71 121 71.43% 11.331 Hardee 1 151 10 5 -68.75%1 12.00 Hendry 1 241 211 21 0.00%1 22.00 Hernando 1 451 951 72 -24.21%1 70.671 Highlands 1 361 291 371 27.59%1 34.00 Hillsborough 1 6391 6481 6651 2.62%1 650.067/11 Holmes 1 91 121 8 -33.33%1 9.67 Page 60 Create Date: 10/7/2013 Indian River 1 491 411 491 19.51%1 46.331 Jackson i 241 261 18 -30.77% 22.67 Jefferson 1 151 11 ill 10.00%1 12.00 Lafayette 1 A 3+ 1 -66.67% 2.001 Lake 1 124 90 1211 23.47%1 113.671 Lee 1 2391 Z571 2891 12.45%1 261.671 Leon l 1381 1411 1561 10.64%1 145.00 Levy 1 271 311 13 -58.06%1 23.67 Liberty 1 61 1 81 14.29%1 7.00 Madison l 2A 11 7 -63.16%1 16.671 Manatee 1 141 1511 141 -6.62% 1463311 Marion 1 1271 1271 124 -2.36%1 126.001 Martin l 631 M 841 20.00%1 72.331 Miami-Dade 1 "4 6891 665 -3.48%1 665.00 Monroe 1 1M fm 991 43.48%1 89.33,11 Nassau 1 231 231 291 26.09%1 25.001 Okaloosa 1 1061 loll 1161 14.85%1 107.671 Okeechobee 1 231 13 161 23.08%1 17.33 Orange 1 490 366 -6.87%I 418.33 Osceola 1 q 661 711 7.58%1 78.00 Palm Beach 1 5011 4891 5101 4.29%1 500.001 Pasco 1 2081 2301 2661 15.65%1 234.671 Pinellas 1 5051 4741 475 0.21%1 484.67 11 Polk 1 1" 2031 186 -8.37% 194.00 Putnam 1 601 461 30 -34.78%1 45.331 Santa Rosa 1 1021 851 67 -21.18% 84.671 Sarasota 1 1741 1281 146 14.06%1 149.331 Seminole l 1311 10A 89 -12.75%1 10733,311 St.Johns 1 841 1171 1281 9.40%1 109.671 St. Lucie 1 741 941 87 -7.45% 85.00 Sumter 1 361 231 21 -8.70% 26.67 11 Suwannee 1 261 341 26 -23.53% 28.671 Taylor 1 121 331 17 -48.48% 20.671 Union 1 81 71 6 -14.29%1 7.00 Page 61 Create Date: 10/7/2013 Unknown 0 -100.00% 0.33 Volusia I 31 2M 253 5.86% 267.33 Wakulla I 15 25 -7.41% 22.33 Walton 501 8.70% 48.00 Washington 191 35.71%1 13.671 8,139 7,734 7,922 2.37 7,932 Page 62 Create Date: 10/7/2013 Motorcycle Crash History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 1451 118 1381 16.95%1 133.671 Baker 1 W 3 -50.00%1 5.671 Bay 1 1511 1671 155 -7.19% 157.067/11 Bradford 1 M (� 61 0.00%1 6.6711 Brevard 1 2521 2251 3031 34.67%1 260.00 Broward 1 6211 6431 7191 11.82% 661.001 Calhoun 1 41 31 41 33.33% 3.671 Charlotte 1 61 841 67 -20.24% 73.33 Citrus 1 851 901 1041 15.56% 93.00 Clay 1 0 611 861 40.98%1 75.671 Collier 1 831 791 78 -1.27% 80.00 Columbia 1 331 341 28 -17.65%1 31.67 DeSoto 1 151 ill 131 18.18%1 13.00 Dixie I 1 31 0.00%1 4.00 Duval 1 411 4241 532 25.47%1 455.3,3011 Escambia 1 im 2041 189 -7.35%1 180.33 11 Flagler l 62l 601 671 11.67%1 63.00 Franklin 1 3l 41 33.33%1 3.331 Gadsden 1 101 'I 161 128.57%1 11.00 Gilchrist 11 11 71 600.00%1 6.001 Glades 1 51 61 71 16.67%1 6.001 Gulf 1 11 3 -57.14%1 3.671 Hamilton 1 71 41 1 -75.00%1 4.001 Hardee 1 161 ill 9 -18.18% 12.00 Hendry 1 71 81 151 87.50%1 10.00 Hernando 1 961 1161 116 0.00%1 109.331 Highlands 1 381 361 471 30.56%1 40.33,11 Hillsborough 1 4701 651 7211 10.58%1 614.33 Holmes 1 61 61 101 66.67%1 7.33 Page 63 Create Date: 10/7/2013 Indian River 1 A 471 45 -4.26%1 44.00 Jackson 1 A 1 13 -18.75% 13.671 Jefferson 1 71 51 51 0.00%1 5.67 Lafayette I 11 21 100.00% 2.00 Lake I 110 140 1601 8.11%1 141.331 Lee I 1881 2291 2681 17.03% 228.33 Leon 1 1191 1361 112 -17.65% 122.33 11 Levy I 211 191 201 5.26%1 20.001 Liberty 1 31 11 1 0.00% 1.67 Madison 1 81 61 5 -16.67% 6.331 Manatee 1 1301 1591 130 -18.24%1 139.067/11 Marion 1 1561 1711 141 -17.54%1 156.001 Martin 1 841 571 56 -1.75% 65.671 Miami-Dade 1 77 934 9871 5.90%1 897.67/11 Monroe 1 2241 1871 2611 39.57% 224.00 Nassau 1 241 281 321 14.29%1 28.001 Okaloosa 1 101 108 2.86%1 97.671 Okeechobee 1 121 71 10 42.86%1 9.67 Orange 1 6211 581 -6.44%1 562.33 Osceola I 1031 110 1221 5.17%1 113.671 Palm Beach I 3761 3691 411 11.38%1 385.331 Pasco 1 2461 267) 264 -1.12%1 259.00 Pinellas 1 4M 5131 5791 12.87%1 524.00 Polk 1 2091 2171 2651 22.12%1 230.33 11 Putnam 1 271 411 50121.95%1 39.331 Santa Rosa I 611 811 70 -13.58%1 70.671 Sarasota 1 1491 1571 1901 21.02%1 122 J Seminole I 1081 1491 1611 8.05%1 139.331 St.Johns 1 581 971 1301 34.02%1 95.00 St.Lucie 1 811 11 1091 3.81% 98.33 Sumter 1 321 321 27 -15.63% 30.33 11 Suwannee I 151 141 10 -28.57%1 13.001 Taylor 1 31 61 6 0.00%1 5.00 Union 1 31 51 01 -100.00%1 2.67 Page 64 Create Date: 10/7/2013 Unknown I 11 0 -100.00% 0.33 Volusia I 51 5511 18.7,5%1 508.33 Wakulla I 11 161 220.00% 11.00 Walton I 32 31 32 -3.03%1 32.33 Washington 44.44 13 /a 10.33 7,849 8,631 9,394 8.12 8,625 Page 65 Create Date: 10/7/2013 Motorcycle Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 31 50.00%1 2.001 Baker 1 11 01 01 0.00%1 0.331 Bay 1 3I M 4 -50.00%1 5.00 Bradford 0 _ 0.00%1 0.00 Brevard 1 131 1� 13 -13.33% 13.67 Broward 1 241 411 411 0.00%1 35.331 Charlotte 1 91 3 -66.67% 5.331 Citrus 1 51 4I 71 75.00%1 03,3111 Clay 1 21 11 21 100.00%1 1.67 Collier 1 61 31 7 133.33% 5.331 Columbia 1 31 y 0 -100.00% 1.67 Desoto 11 0 -100.00% 0.33 Dixie 1 01 11 11 0.00% 0.67 Duval 1 221 A 171 21.43%1 17.67 Escambia 1 71 31 71 133.33%1 5.671 Flagler 91 125.00%1 6.33 Franklin 1 11 01 01 0.00%1 0.33 Gadsden 1 01 01 11 0.00% 0.331 Gilchrist 1 11 01 0 0.00% 0.33 Glades 1 0! 11 31 200.00%1 1.331 Hamilton 1 11 11 0 -100.00%1 0.671 Hardee 1 21 11 1 0.00%1 1.331 Hendry 1 01 11 2 100.00%1 1.001 Hernando 1 31 121 S -33.33% 7.67 Highlands 1 21 31 0 -100.00%1 1.67 Hillsborough 1 241 371 391 5.41%1 33.033011 Holmes 1 01 11 11 0.00%1 67 Indian River 1 41 41 1 -75.00% 3.00 Jackson 1 11 1 0.00% 0.67 Page 66 Create Date: 10/7/2013 Jefferson 0 -100.00% 0.33 Lafayette 1 0.00% 0.33 Lake I 4, 9 12.50%1 7.00 Lee I 131 16 171 6.25% 15.33 Leon ( 41 31 51 66.67%1 4.001 Levy I 41 1 -75.00%1 2.67I Manatee I 101 71 71 0.00%1 8.001 Marion I 111 91 141 55.56%1 11.33 Martin 1 4I 5 25.00%I 4.001 Miami-Dade 1 311 381 32 -15.79% 33.67 Monroe I 11 61 0.00%1 2.331 Nassau 1 11 21 21 0.00%1 67I Okaloosa 1 21 61 200.00%1 3.33I Okeechobee I 11 01 1 0.00% 0.67I Orange I 191 34I 371 8.82%1 30.00 Osceola N 17 -22.22%1 6.33 11 Palm Beach I 241 191 17 -10.53% 20.001 Pasco I 161 191 91 -52.63% 14.67I Pinellas 1 251 26 22 -15.38%1 24.33 11 Polk 1 111 4 12 -45.45%1 15.00 Putnam I 11 11 71 600.00%1 3.00 Santa Rosa I 3j 1 -66.67% 2.33I Sarasota I 51 71 101 42.86% 7.33I Seminole 1 5I 131 3 -76.92% 7.33 St.Johns 8 0.00%I 4.001 St. Lucie I 31 5 -28.57%I 5.001 Sumter I 7I OI 31 0.00%1 3.331 Suwannee I 11 2I 21 0.00%I 1.67I Taylor 1 OI OI 2 0.00% 0.67I Union I OI 11 0 -100.00%1 0.33 Volusia 1 21 251 24 -4.00%1 26.00 Wakulla I 11 OI 31 0.00%1 1.331 Walton I 31 11 51 400.00%1 3.001 Washington I 11 01 31 0.00% 1.33 Page 67 Create Date: 10/7/2013 382 452 457 1.09 430 Figures include both motorcycle drivers and passengers Page 68 Create Date: 10/7/2013 Motorcycle Injury History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 133� 101 1211 11.01%1 121.00 Baker I 1 1 4 -20.00%1 6.33I Bay I 141 146� 1491 2.05% 147.33I Bradford I 10+ 8 60.00%1 7.6711 Brevard I 2M 2831 37.38%1 240.67 Broward I 571I 59 6301 5.35%1 599.67I Calhoun 31 0.00%1 3.33 Charlotte I 66I 8 61 -25.61% 69.67 Citrus I ""I 9� 1081 11.34%1 95.00 Clay I A 50 841 50.00%1 713331' Collier I 81 M 72 -4.00%1 75.067/11 Columbia I 23 31 27 -18.18%1 27.67 DeSoto I 11 111 18 63.64%1 16.00 Dixie I 1 3� 2 -33.33%1 3.33 Duval I 356 387I 4961 28.17%1 413.001 Escambia I 136� 191 174 -8.42% 166.671 Flagler 671 66 -1.49% 66 m Franklin 41 33.33%1 2.67I Gadsden 171 183.33%1 11.00 Gilchrist I '1 11 71 600.00%I 5.671 Glades I 7I 1 61 20.00%1 6.00 Gulf I lI 1 3 -57.14%I 3.67I Hamilton I 1 31 2 -33.33%1 4.001 Hardee I 17 12 10 -16.67% 13.00 Hendry I 101 151 50.00%1 33 Hernando I 105I 110I 1191 8.18%1 111.33I Highlands I 381 37 541 45.95%1 43.00 Hillsborough I 44A 6051 671 10.91%1 572.67/11 Holmes I 1 4 121 200.00% 7.6711 Page 69 Create Date: 10/7/2013 Indian River 1 331 411 38 -7.32%1 37.33 Jackson 1 17 141 141 0.00%1 15.001 Jefferson 1 51 66.67%1 5.00 Lafayette 1 31 11 11 0.00%1 1.67 Lake 1 1231 1471 1651 12.24%1 145.001 Lee 1 1851 2181 2551 16.97%1 219.33 11 Leon 1 1111 1191 88 -26.05% 106.00 Levy 1 211 A 201 5.26%1 20.00 Liberty 1 11 11 0.00%1 2.00 Madison 1 71 71 4 -42.86%1 6.00 Manatee 1 1211 1531 126 -17.65% 133.33 Marion 1 1511 1481 120 -18.92% 139.671 Martin 1 94 571 46 -19.30% 63.331 Miami-Dade 60 WA 831 2.97%1 775.67 Monroe 1 2251 1891 2661 40.74%1 226.67 Nassau 1 N 271 311 14.81%1 27.671 Okaloosa 1 74 961 961 0.00%1 88.001 Okeechobee 1 131 71 91 28.57% 9.671 Orange 1 4641 5441 496 -8.82% 501.30311 Osceola 1 941 1041 1211 16.35%1 106.33 11 Palm Beach 1 3501 341 3721 7.83%1 355.067/11 Pasco 1 2331 2461 2491 1.22% 242.671 Pinellas 1 4321 4591 5251 14.38%1 472.00 Polk 1 1901 1991 2581 29.65%1 215.067/11 Putnam 1 291 431 48 11.63%1 40.001 Santa Rosa 1 611 731 72 -1.37%1 68.671 Sarasota 1 1351 1461 1721 17.81%1 151.001 Seminole 1 1071 1261 1421 12.70%1 125.001 St.Johns 1 561 1071 119 11.21%1 94.00 St. Lucie 1 801 971 101 4.12%1 92.67 Sumter 1 M 311 27 -12.90% 29.33 Suwannee 1 141 141 7 -50.00%1 11.671 Taylor 1 31 2 -66.67%1 3.671 Union 1 21 41 01 -100.00% 2.00 Page 70 Create Date: 10/7/2013 Unknown -100.00% 0.331 Volusia I 524 5451 19.52%1 507.67 11 Wakulla I 11I 1151 200.00%1 10.33 Walton I 33 31 -8.82% 32.6711 Washington I 1 141 55.56%1 11.001 7,412 7,979 8,658 7.84 8,016 Figures include both motorcycle drivers and passengers Page 71 Create Date: 10/7/2013 Commercial Motor Vehicle Crash History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 275I 181 3721 98.93%1 278.00 Baker 11 671 415.38%1 42.671 Bay I 13A 121 2501 96.85%1 169.067/11 Bradford I M 11 14 -17.65%1 20.33,11 Brevard I 315 2 5221 153.40%1 347.67I Broward I 1,511 1,2M 3,572 184.85%1 2,112.00 Calhoun I ill 12� 151 25.00%1 12.67 Charlotte I 101 71 1541 94.94%1 112.067/11 Citrus I 411 31 901 157.14%1 55.33 Clay I 11l 54 1251 123.21% 98.067/11 Collier I 94 92 2-281 147.83%1 138.00 Columbia I 104 1m 147 36.11%1 119.67 Desoto I 21 24 49 104.17%1 32.00 Dixie 1 111 120.00%1 7.33 11 Duval I 1,424 914I 2,0311 122.21%1 1,456.33 Escambia I 155i 141 2791 92.41%1 193.00 Flagler I 51 46� 851 84.78%1 62.67 Franklin I 5 150.00%1 4.00 Gadsden I M 381 821 115-79%1 69.33 Gilchrist I 1 1 4 -20.00%1 5.001 Glades I 24 -A 461 130.00%1 29.3311 Gulf I 3I 51 81 60.00%I 5.33I Hamilton I 44 2$I 611 117.86%1 44.331 Hardee I 44 42 681 61.90%1 51.3311 Hendry I 3A 34I 531 55.88%1 39.067111 Hernando I 1011 1361 34.65%1 105.67 Highlands A 911 89,58%1 70.3311 Hillsborough I 1,0781 871 1,5961 83.45%1 1,181.33 11 Holmes I 11 9j 171 88.89%1 13.67 Page 72 Create Date: 10/7/2013 Indian River 1421 167.92%1 90.33 Jackson I T7I 1051 138.64%1 75.33 Jefferson I M 151 361 140.00%1 24.67 Lafayette 71 40.00%1 6.00 Lake I 21A 10 3411 84,32%1 246.3311 Lee I 251I 191 5451 186.84%1 328.67I Leon 1811 4491 148.07%1 308.67I Levy 0 291 45.00% 24.67/11 Liberty 61 5 -16.67% 6.00 Madison I 511 21 661 186.96%1 46.671 Manatee I 231 im 3921 130.59%1 265.067/11 Marion I 221] 214 355 65.89%1 263.333311 Martin I 136� 103� 2171 110.68%1 152.00I Miami-Dade 6,5821 200.69%1 3,820.00 Monroe I 7i1) 61 1411 110.45%1 92.67 Nassau I 94 61 891 32.84%1 82.67I Okaloosa I ill 61 1601 131.88% 1H2. Okeechobee I 46� 25� 621 148.00%1 44.33 Orange 831 1,7021 104.32% 1,183.67 Osceola ill 2861 144-44%1 208.33I Palm Beach I 7781 f m 1,757 160.68%1 1,069.67 Pasco I 271 204I 4061 99.02%1 294.33 11 Pinellas I 491 1,031 103.75%1 678.33 Polk I 531 3911 8451 116.11%1 590.33I Putnam I 50 4A 751 53.06%I 58.00I Santa Rosa I 51 45 1061 135.56%1 70.00 Sarasota I 2311 171 3941 127.75%1 266.00 Seminole I 144 121 3891 201.55%I 220.00I St.Johns I in 117I 3611 208.55%1 205.00I St. Lucie I 192I 134I 3531 163.43%1 2263311 Sumter I im 92 1181 28.26%1 113.33 11 Suwannee I 411 31 711 91.89% 49.67 Taylor I 21 22 17 -22.73% 20.67 Union I 11 101 1010.00%1 11.67 Page 73 Create Date: 10/7/2013 Unknown 01 0.00%1 0.00 Volusia I 311 261 5931 125.48%1 391.67 Wakulla I 1 71 0.00%1 6.33 if Walton I 51 41 108 140.00%I 68.33 Washington I 9I A 201 42.86%1 14.33I 15,288 12,010 28,550 57.93 18,616 Please note that changes to FS 316.066 in 2012 required all crashes involving a commercial motor vehicle to be reported to HSMV. This change caused a corresponding increase in the number of commercial motor vehicle crashes for the 2012 crash year. Page 74 Create Date: 10/7/2013 Commercial Motor Vehicle Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 271 800.00%1 12.00 Baker 0 -100.00%1 1.671 Bay I ZI 1 41 0.00%1 2.00 Bradford I OI 1 -50.00% 1.00 Brevard I 11 1A 6 -50.00%1 6.33 Broward 11 7 -30.00%1 i0. Calhoun 1 01 0.00%1 0.001 Charlotte I 2I 31 50.00% 2.33 11 Citrus I 1I 2I 0 -100.00%1 1.00 Clay I 1� 1� 0 -100.00% 0.67I Collier I 41 100.00%1 2.67 Columbia I A 0 -100.00%1 1.67 Desoto 0 -100.00%1 1.00 Dixie 1 0.00% 0.67 Duval 161 77.78%1 11.00 Escambia I 11 1 4 -20.00% 3.33 Flagler A p -100.00% 1.00 Franklin 1 01 0.00%1 0.001 Gadsden I 2 0.00% 2.00 Gilchrist 01 0.00%1 0.001 Glades I 01 0 -100.00%1 1.00 Gulf I 01 21 0 -100.00%1 0.67I Hamilton I a 2, 21 0.00%1 1.33I Hardee I ZI 1 31 40.00% 3.33 Hendry I 11 2I 1 -50.00%1 1.33 Hernando I 1� OI 0 0.00% 0.33 Highlands I 21 0.00%1 3.00 Hillsborough I 12I 11 231 91.67%1 15.67 Holmes 0 0.00%1 0.00 Page 75 Create Date: 10/7/2013 Indian River 11 0.00%1 0.67 Jackson 0 -100.00% 2.001 Jefferson I 11 1 -50.00% 1.33 Lafayette I 0I 3I 0 -100.00%1 1.00 Lake 1 -80.00% 2.33I Lee I 11 5I _ 1 40.00% 4.33 11 Leon I 3I 31 0.00%1 3.331 Levy 0 -100.00%1 1.00 Liberty 01 0.00%1 0.00 Madison I l) 0+ 31 0.00%1 1.33 Manatee I 31 51 66.67%1 3.33 11 Marion I 91 4 -55.56%1 6.33I Martin 71 250.00%1 4.33 Miami-Dade ill 161 45.45%1 14.33 11 Monroe 1 -66.67%1 1.67 Nassau I 5, 3 -40.00%1 4.001 Okaloosa I 3I 11 21 100.00%1 2.001 Okeechobee d 21 0.00%1 1.00 Orange 141 16.67%1 10.67 Osceola 71 75.00%1 6.001 Palm Beach 11 -8.33%I 10.33 Pasco I 41 0.00%1 5.67I Pinellas 61 20.00% 4.67I Polk I 171 112.50%1 12.33 Putnam 21 100.00%1 1.001 Santa Rosa I 1) 21 0.00%I 1.67 Sarasota I 21 ( 11 0.00%I 1.00 Seminole 1 -66.67%I 2.001 St.Johns 6I 0 -100.00%1 3.001 St.Lucie I 21 2I 51 150.00%1 3.00 Sumter I 3I 21 0.00%j 1.67 Suwannee 1 0.00% 1.33I Taylor 1 0.00% 0.67I Union I 01 2 0.00% 1.33 Page 76 Create Date: 10/7/2013 Unknown 0 0.00%1 0.00 Volusia I 5 9 -25.00% 8.67 11 Wakulla 01 0.00% 0.00 Walton 21 100.00%1 3.33 Washington 21 100.00% 1.33I 192 222 251 11.55 222 Please note that changes to FS 316.066 in 2012 required all crashes involving a commercial motor vehicle to be reported to HSMV. This change caused a corresponding increase in the number of commercial motor vehicle crashes for the 2012 crash year. Page 77 Create Date: 10/7/2013 Commercial Motor Vehicle Injury History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 141 1131 226 100.00% 161.33I Baker I 23I 1 171 88.89%1 16.33I Bay I 581 1481 781 47.30% 94.67 Bradford I 131 18 14 -22.22%1 15.00 Brevard I 1 1m 137 -24-73%1 163.001 Broward I 695 1,0991 1,029 -6.37%1 941.001 Calhoun I 10 7 -30.00% 7.33 Charlotte I 291 6 40 -35.48% 43.67 Citrus 27 -18.18% 24.33311 Clay 721 31 461 24.32%1 Lti Collier I 6t?1 75 761 1.33% 70.33 Columbia I 771 771 441 42.86% 66.001 Desoto 1 261 62.50%1 19.33 Dixie I 1 3 0.00% 2.00 Duval 588 -10.77%1 569.00 Escambia I 10 1-4 125 -16.67%1 139.33I Hagler I 1A 43 681 58.14%1 41.6711 Franklin I A 211 100.00%1 2.00 Gadsden I 1001 201 391 95.00%1 53.00 Gilchrist I 31 61 1 -83.33%I 3.331 Glades I 301 161 491 206.25%I 31.67 Gulf I 51 21 11 -50.00%1 2.6711 Hamilton I 101 211 17 -19.05%1 16.001 Hardee I 20 311 331 6.45%1 28.00 Hendry I 19 33' 31 -6.06%1 27.6711 Hernando I 41 104 49 -52.88% 64.671 Highlands I 541 331 26 -21.21%1 37.67 Hillsborough I 6991 8151 721 -11.53% 745.00 Holmes I 41 61 131 116.67% 7.6711 Page 78 Create Date: 10/7/2013 Indian River 41 43 -8.51%I 41.67 Jackson I Z1 2 591 126.92%1 3733311 Jefferson I im 11 131 30.00%1 11.00 Lafayette I 31 5 -16.67% 4.67 Lake I 1241 106 -54.89% 155.00 Lee I 124 182I 2241 23.08%1 176.6711 Leon I 10q 94 -34.72% 114.331 Levy 13 -13.33%1 12.67 Liberty 2 -33.33% 2.33 Madison I 23 11 221 69.23% 19.33 Manatee I 131 2061 52.59%1 142.67 Marion I li� 1411 150 6.38%1 135.33I Martin I 611 73 60 -17.81% 64.671 Miami-Dade I 904� 1,468 1,595 8.65%1 1,322.331 Monroe I 19 6A 42 -34.38% 41.67 Nassau I 39 64 721 12.50%1 58.331 Okaloosa I 45I 41 631 46.51%1 33I Okeechobee I 11 151 1.51 0.00%j 15.67I Orange I 441 6931 672 -3.03%1 604.00 Osceola I 155 83I 113 36.14%1 117.00 Palm Beach I 40 6161 6251 1.46%1 560.33I Pasco I 1811 259I 258 -0.39%1 232.67I Pinellas I nil 442 381 -13.80%1 344.67 Polk I 2" -mg 324 8.00%1 290.067/11 Putnam I ii8 44 30 -28.57%I 63.33I Santa Rosa I 29 41 531 17.78%1 42.331 Sarasota I 91 1361 111 -18.38% 114.00I Seminole I 66 81 1021 17.24%1 85.00I St.Johns I 72 71 1351 70.89%1 95333011 St.Lucie I 61 1111 1621 45.95%1 111.67 Sumter I 711 641 58 -9.38% 64.33 Suwannee I 15 181 16 -11.11% 16.33 Taylor I 41 18 9 -50.00%1 10.33I Union I 13I 4I 5 25.00%1 7.33I Page 79 Create Date: 10/7/2013 Unknown I pl ( 01 0.00%1 0.00 Volusia I 1551 191 222 12.69%1 191.33 Wakulla 41 0.00%1 3.33 11 Walton I 251 391 30.00% 31.33011 Washington I 41 251 177.78% 12.67I 7,147 9,740 9,661 -0.82 8,849 Please note that changes to FS 316.066 in 2012 required all crashes involving a commercial motor vehicle to be reported to HSMV. This change caused a corresponding increase in the number of commercial motor vehicle crashes for the 2012 crash year. Page 80 Create Date: 10/7/2013 Pedestrian Crash History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 1141 811 1141 40.74%1 103.001 Baker 1 31 8I 7 -12.50%1 6.001 Bay 1 871 771 971 25.97%1 87.00 Bradford I 71 pl 3 -50.00% 5.33 Brevard I 10 1261 2011 59.52%1 171.067/11 Broward 1 1,0121 6481 1,035 59.72%1 898.331 Calhoun 1 31 2I 3 50.00%1 2.67 11 Charlotte I 56 611 8.93% 57.67 Citrus I 291 251 501 100.00% 34.067/11 Clay 1 4b1 501 611 22.00%1 52.3311 Collier 1 0 72 851 18.06%1 80.33I Columbia 1 241 211 241 14.29%1 23.00 Desoto I 121 151 10 -33.33% 12.33 11 Dixie 1 11 81 700.00%1 3.67 Duval 1 3451 3741 4251 13.64% 38L331 Escambia 1 1421 14� 1491 4.20%1 144.671 Flagler 1 4 241 301 25.00%1 25.33 11 Franklin 1 51 11 71 600.00%1 4.33 11 Gadsden 1 71 71 0.00% 7.67 Gilchrist I 01 01 1 0.00%1 0.331 Glades 1 31 21 31 50.00%1 2.671 Gulf I A 2 0.00%1 3.001 Hamilton 1 41 41 3 -25.00%1 3.671 Hardee 1 41 91 125.00%1 6.33 11 Hendry 1 91 131 141 7.69% 12.00 Hernando I 421 601 681 13.33%1 56.67 11 Highlands 1 211 26 22 -15.38% 23.00 Hillsborough I 52N 51A 5911 15.43%1 542.001 Holmes 1 `i 31 1 -66.67% 2.00 Page 81 Create Date: 10/7/2013 Indian River 1 351 271 37 37.04%1 33.00 Jackson 1 131 7I 9 28.57% 9.67 Jefferson 1 11 71 250.00% 3.33 Lafayette 1 31 21 1 -50.00% 2.001 Lake 1 801 811 79 -2.47%1 80.001 Lee 1 194 1671 205 22.75%1 188.001 Leon 1 1431 1451 153 5.52%1 147.001 Levy 1 91 101 8 -20.00%1 9.00 Liberty 1 11 01 2 0.00%1 1.001 Madison 1 71 71 5 -28.57% 6.33 Manatee 1 153" 1111 1581 42.34%1 140.671 Marion 1 1001 1061 1081 1.89%1 104.671 Martin 1 321 371 501 35.14%1 39.67 Miami-Dade 1 1,4541 1,3571 1,418 4.50%1 1,409.67 Monroe 1 421 !M 761 58.33%1 55.33 11 Nassau 1 211 A 171 21.43%1 17.33 Okaloosa 1 54) 691 58 -15.94% 60.331 Okeechobee 1 181 121 121 0.00%1 14.00 Orange 1 5771 511 5701 10.25%1 554.67/11 Osceola 1 1171 831 76 -8.43%1 92.00 Palm Beach 1 5751 4991 5751 15.23%1 549.671 Pasco 1 1581 1551 1651 6.45%1 159.331 Pinellas 1 4" 3751 4731 26.13%1 437.001 Polk 1 1831 1331 1921 44.36%1 169.3311 Putnam 1 401 291 25 -13.79%1 31.331 Santa Rosa 1 291 291 22 -24.14%1 26.671 Sarasota 1 1361 1291 1401 8.53%1 135.001 Seminole 1 891 1171 1181 0.85%1 108.001 St.Johns 1 M 521 39 -25.00%1 39.671 St. Lucie 1 841 711 911 28.17%1 82.00 Sumter 1 171 171 9 -47.06% 14.33 Suwannee 1 101 71 181 157.14% 11.671 Taylor 1 51 11 21 100.00% 2.67 Union 1 2) 01 2 0.00%1 1.331 Page 82 Create Date: 10/7/2013 Volusia I 2211 223 -1.33% 223.33 Wakulla I 41 2I 71 250.00% 4.33 Walton I 111 11 171 41.67% 13.33 Washington I 4 0.00%1 3.33 7,914 7,023 8,262 15.00 7,733 Page 83 Create Date: 10/7/2013 Pedestrian Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 21 0.00%1 2.00 Baker 1 01 1 -75.00% 1.671 Bay 1 11 7I 8 14.29%1 5.331 Bradford 2 0.00%1 1.33 Brevard 1 131 131 8 -38.46% 11.33 Broward 1 54 291 581 100.00%1 46.331 Calhoun 1 11 01 01 0.00% 0.331 Charlotte 1 11 51 2 -60.00% 2.67 Citrus 1 11 51 400.00%1 3.00 Clay 1 11 41 2 -50.00%1 2.331 Collier 1 3 -50.00% 5.00 Columbia 1I 2 _-50.00%1 2.671 Desoto 1 11 31 1 -66.67% 1.67 Dixie 1 01 01 4 0.00%1 1.33 Duval 1 211 21 301 50.00%1 23.67 Escambia 1 11 151 11 -26.67%1 12.00 Flagler 1 11 61 2 -66.67%1 3.00 Franklin 1 ( 1 0 _ 0.00%1 0.00 Gadsden 1 11 11 11 0.00%1 1.00 Gulf 1 a 11 0 -100.00%1 0.331 Hamilton 1 01 11 1 0.00% 0.671 Hardee 1 31 01 1 1 0.00%1 1.331 Hendry 1 11 01 21 0.00%1 1.001 Hernando 1 21 41 1 1 -75.00%1 2.33 11 Highlands 1 51 31 51 66.67% 4.33 Hillsborough 1 411 34 331 3.13% 35.33 Indian River 1 21 21 1 -50.00% 1.67 Jackson 1 01 11 11 0.00%1 0.67 Jefferson 1 11 11 11 0.00%1 1.00 Page 84 I� Create Date: 10/7/2013 Lafayette 01 0.00%1 0.00 Lake 1 91 21) 5 -54.55% 8.33 11 Lee I 131 116.67%1 10.67 Leon 1 101 41 51 25.00% 6.33 11 Levy 1 01 11 0.00%1 0.331 Madison 1 11 0 -100.00% 0.331 Manatee 1 81 81 121 50.00% 9.33 Marion I 101 25.00%1 10.001 Martin 1 11 51 11 -80.00%1 2.33 Miami-Dade 1 761 731 52 -28.77%1 67.001 Monroe 1 41 51 51 0.00%1 4.6711 Nassau 1 21 y 1 -50.00% 1.671 Okaloosa 1 71 71 4 -42.86%1 6.00 Okeechobee 1 21 1 -50.00% 1.67 Orange 1 451 2� 381 35.71%1 37.00 Osceola 1 141 2 -85.71%1 6.33 11 Palm Beach 1 211 191 22 15.79%1 20.671 Pasco 1 111 151 12 -20.00%1 12.671 Pinellas 1 2-4 331 27 -18.18% 27.33 Polk 1 131 131 181 38.46%1 14.67 Putnam 1 41 { 2 -66.67%1 4.00 Santa Rosa 1 �I 41 41 0.00%1 3.671 Sarasota 1 71 81 6 -25.00%1 7.001 Seminole 1 111 141 5 -64.29%1 10.00 St.Johns 1 81 1 -87.50%1 4.671 St. Lucie 1 31 51 81 60.00%1 5.331 Sumter 1 31 11 01 -100.00% 1.331 Suwannee 1 pl 11 21 100.00%1 1.001 Taylor 1 01 01 11 0.00% 0.331 Union 1 11 01 0 0.00% 0.33 Volusia 1 2� 181 16 -11.11%1 20.00 Walton 1 11 41 0 -100.00% 1.671 Washington 1 01 11 0.00%1 0.331 496 488 463 -5.40 482 Page 85 Create Date: 10/7/2013 Pedestrian Injury History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua I 1071 751 1021 36.00%1 94.67 Baker 1 21 51 0.00%1 4.001 Bay 1 811 571 761 33.33%1 71.331 Bradford I 71 4' 1 -75.00%1 4.00 Brevard 1 1641 991 1641 65.66% 142.33 Broward 1 9171 5I13I 8891 76.74%1 769.671 Calhoun I 21 21 31 50.00%1 2.331 Charlotte I 431 45 4.65%1 46.001 Citrus 1 251 IA 421 250.00%1 26.33311 Clay 1 44 421 521 23.81%1 45.33I Collier 1 731 611 671 9.84%1 67.001 Columbia 1 221 161 191 18.75%1 19.00 DeSoto I 1114 8 -33.33%1 10.33 Dixie 1 11 41 300.00%1 2.33 Duval 1 3071 3281 3651 11.28%1 333.331 Escambia 1 1181 1241 135 8.87%1 125.67111 Flagler 1 141 261 85.71%1 20.001 Franklin I 51 3 0.00%1 2.67 11 Gadsden i 5 -16.67% 6.001 Gilchrist I 01 a1 1 _ 0.00%1 0.331 Glades I 31 11 31 200.00% 2.33I Gulf 1 5I 11 21 100.00%1 2.67I Hamilton I 4I 21 1 -50.00%1 2.331 Hardee 1 3I 41 81 100.00%1 5.00 Hendry I 71 121 12 0.00% 10.33 Hernando I 391 491 61 24.49%1 LEI Highlands I 15 4 16 -30.43%1 18.00 Hillsborough I 411 4631 5391 16.41%1 490.33 Holmes 1 21 31 1 -66.67%1 2.00 Page 86 Create Date: 10/7/2013 Indian River 1 311 221 271 22.73%1 26.67 Jackson 1 131 6I 71 16.67%1 8.671 Jefferson 1 01 11 61 500.00%1 2.33 Lafayette 21 0 -100.00% 1.67 Lake 0 57 -5.00% 61.331 Lee 1 1 1511 1741 15.23%1 163.331 Leon 1 125 121 121 -1.63%1 123.00 Levy 1 N 10 7 -30.00%1 8.33 Liberty 1 11 U, 21 0.00%1 1.001 Madison 1 7I 51 31 40.00% 5.00 Manatee 1 1391 971 1261 29.90%1 120.067/11 Marion 1 0 0 9111.11%1 88.067/11 Martin 1 2-1 311 371 19.35% 31.671 Miami-Dade 1 1,25A 1,1701 1,257 7.44%1 1,226.33 Monroe 1 31 411 611 48.78% 46.33 Nassau 1 16 ill 131 18.18% 13.331 Okaloosa 47 -18.97%1 48.671 Okeechobee 1 13 81 7 -12.50%1 9.331 Orange 1 494' 4541 4861 7.05%1 478.00 Osceola 1 101 671 71 5.97%1 82.331 Palm Beach 1 524 4451 4941 11.01%1 487.001 Pasco 1 14A 1331 1421 6.77%1 139.00 Pinellas 1 411 29 4141 40.82%1 374.33 Polk 1 161 101 1491 44.66%1 140.001 Putnam I 341 161 22 37.50%1 24.001 Santa Rosa 1 251 241 17 -29.17%1 22.001 Sarasota 1 14 1111 1201 8.11%1 117.671 Seminole 1 741 951 94 -1.05%1 87.671 St.Johns 1 21 A 33 -17.50% 32.001 St.Lucie 1 711 61 761 22.58%1 69.671 Sumter 1 141 161 9 -43.75% 13.00 Suwannee 1 101 61 141 133.33%1 10.001 Taylor 1 11 1 0.00%1 2.331 Union 1 11 01 2 0.00%1 1.00 Page 87 Create Date: 10/7/2013 Volusia 1 1851 1881 1791 4.79% 184.00 Wakulla 1 41 11 6 500.00%1 3.67 Walton 1 101 61 131 116.67%1 9.67 Washington 1 2.1 31 2 -33.33% 2.33 11 6,969 5,913 7,042 16.03 6,641 Page 88 Create Date: 10/7/2013 Bicycle Crash History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1191 1361 14.29%1 117.00 Baker 1 41 21 21 0.00% 2.671 Bay 1 521 451 481 6.67%1 48.33 11 Bradford 1 4 3I 0 -100.00%1 1.67 Brevard 1 1191 1341 1641 22.39%1 139.00 Broward 1 5691 4541 8221 81.06% 615.001 Calhoun 1 I ( 11 0.00%1 0.331 Charlotte 1 44 541 39 -27.78% 45.00 Citrus 1 111 131 231 76.92% 15.67 Clay 1 391 491 541 10.20%1 47.331 Collier 1 931 1001 1271 27.00%1 106.671 Columbia 1 1t11 121 12 0.00%1 11.33 Desoto 1 51 51 3 -40.00%1 4.33 11 Dixie 1 11 31 11 -66.67% 1.671 Duval 1 2121 2351 310 31.91% 252.3311 Escambia 1 701 891 1181 32.58%1 92.3311 Flagler 1 131 171 271 58.82%1 19.001 Franklin 1 01 01 11 0.00%1 0.33 Gadsden I 31 0 -100.00%1 2.33 11 Gilchrist 01 01 0 0.00%1 0.001 Glades 1 11 11 0 -100.00%1 0.67 Gulf 1 11 11 1 1 0.00%1 1.001 Hardee 1 y 01 2 0.00%1 1.331 Hendry 1 21 3 -25.00%1 3.00 Hernando 1 131 301 351 16.67%1 26.00 Highlands 1 111 61 7 16.67%1 8.001 Hillsborough 1 3MI 3711 4971 33.96%1 418.671 Holmes 1 11 01 11 0.00% 0.67 Indian River 1 27121 291 45.00% 25.33 11 Page 89 Create Date: 10/7/2013 Jackson 2 -33.33% 2.00 Lake I 34 30I 511 70.00%1 38.33 Lee I 131 12M 1521 17.83%1 137.67/11 Leon 51 681 19.30%1 65.00 Levy I 11 41 0.00%1 3.00 Liberty 11 0 -100.00%1 1.00 Madison 0 0.00% 0. 3Q 3 Manatee ill 1281 13.27%1 118.33 11 Marion I 31 511 791 54.90%1 55.067/11 Martin 4 361 5.88%1 39.00 Miami-Dade I 51 60 7511 9.96%1 669.00 Monroe I 104 86 1411 63.95%1 110.33I Nassau I 1� 8� 7 -12.50% 9.tv Okaloosa I 31 33 671 103.03% 45.67 Okeechobee I 7I 3I 81 166.67% 6.00 Orange I 315 4621 23.86%1 383.331 Osceola I 551 41 541 35.00% 49.67 Palm Beach I 386' 3* 477 19.85%1 420.33 11 Pasco I 139I 1zj 1391 9.45% 135.00 Pinellas I 391 4i2� 5831 41.50% 463.33 Polk 121 44.05%1 105.00 Putnam 41 121 200.00%1 7.33 11 Santa Rosa I 1 11 251 66.67%1 18.00 Sarasota I 116I 1611 1731 7.45%1 150.001 Seminole I 6M 1011 104 2.97%I 90.001 St.Johns I 31 0 47 -4.08%I 44.33 St.Lucie I 59 52 -11.86%I 56.331 Sumter I 51 61 81 33.33%I 6.33I Suwannee I 2I 1 1 1 -50.00% 1.67 Taylor i 31 1 1 -66.67%1 2.00 Union I 11 11 0 -100.00% 0.67 Volusia I 1851 160I 1941 21.25%1 179.67/11 Wakulla I 11 21 51 150.00% 2.67 Walton I 91 81 131 62.50%1 10.00 Page 90 Create Date: 10/7/2013 Washington I OI 11 1 0.00% 0.17 4,863 5,011 6,429 22.06 5,434 Page 91 Create Date: 10/7/2013 Bicycle Fatality History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 1 1 -50.00%1 1.001 Bay 1 11 31 50.00%1 2.001 Bradford 1 01 11 0 -100.00% 0.33 Brevard 1 t11 4I 3 -25.00%1 2.33 Broward 1 51 1114 7.69% 10.671 Charlotte 1 11 A 01 -100.00% 1.00 Citrus 1 11 (� 0 0.00% 0.331 Clay 1 01 11 1 0.00% 0.67 Collier 1 11 11 11 0.00%1 1.00 Dixie 1 (11 31 0 -100.00%1 0.331 Duval 1 71 1 81 60.00%1 6.671 Escambia 1 01 A 1 -50.00% 1.00 Flagler 1 111 01 0.00%1 0.33 Hardee 1 U) 01 11 0.00%1 0.33 Hernando 1 t11 11 01 -100.00% 0.331 Highlands 1 11 01 0.00%1 1.001 Hillsborough 1 111 71 131 85.71%1 10.33 Indian River 1 11 21 1 -50.00%1 1.331 Lake 1 21 21 0.00%1 1.331 Lee 1 3I 2 -60.00%1 3.331 Leon 1 11 11 0 -100.00% 0.-1 Levy 1 21 11 0 -100.00%1 0.331 Manatee 1 11 21 21 0.00%1 1.671 Marion 1 11 11 11 0.00%1 1.00 Martin 1 01 A 1 -50.00%1 1.00 Miami-Dade 1 71 61 5 -16.67%1 6.00 Monroe 1 31 31 0 -100.00%1 2.00 Okaloosa 1 01 VI 1 0.00% 0.33 Okeechobee 1 t11 01 2 0.00% 0.671 Page 92 Create Date: 10/7/2013 Orange I 41 1 91 28.57%1 6.67I Osceola I ZI 1) 1 0.00% 1.33 Palm Beach I 41 18 -11.11%1 7.00 Pasco 51 66.67%I 4.331 Pinellas I i 9 -10.00%1 7.001 Polk I 21 4I 3 -25.00% 3.011 Santa Rosa I y 0 1 0.00%1 1.001 Sarasota 1 61 50.00% 3.33 If Seminole 0 -100.00%1 1.67 St.Johns I 0� 2 0.00% 1.33I St. Lucie I 11 3) 1 -66.67% 1.67I Sumter I ( 1� 1 0.00% 0.67I Taylor I 11 11 0 0.00% 0.33I Volusia I �I 6� 1 -83.33% 3.67I Walton I 1 21 100.00%1 1.00 76 120 114 -5.26 103 Page 93 Create Date: 10/7/2013 Bicycle Injury History by County County 2010 2011 2012 Percent 3 Year Name Change Average Alachua 101 1331 22.02%1 111.33I Baker I 41 1 21 0.00%1 2.67I Bay I 46� 35I 431 22.86%1 41.3311 Bradford I 2, 0 -100.00% 1.33 Brevard I 1111 125 1511 20.80%1 129.001 Broward I -90 371 7701 104.24%1 562.30311 Calhoun I 0 Oj 11 0.00% 0.33I Charlotte I -1 511 37 -27.45% 42.33 Citrus I 11 11 231 130.00% 14.33 Clay I34 0 481 14.29%1 41.001 Collier 125 30.21%1 103.001 Columbia I 10 14 11 -8.33% 11.00 DeSoto I 4I 51 3 -40.00%1 4.00 Dixie I 11 ZI 1 -50.00%1 1.331 Duval I 1911 211 287 31.05%1 232.31311 Escambia 811 1131 39.51%1 87.33 Flagler I 11 1� 231 43.75%1 16.067/11 Franklin 1 0.00%1 0.33I Gadsden I 4 0 -100.00%1 2.331 Gilchrist 01 0 0.00%I 0.001 Glades I 11 11 01 -100.00%I 0.67I Gulf 11 11 11 0.00%1 1.001 Hardee I A OI 11 0.00%I 1.001 Hendry I A 3 -25.00% 3.00 Hernando I 11 27I 33 22.22%1 24.33 Highlands I 10 5I '51 0.00%1 6.67I Hillsborough I 3711 3501 470 34.29%1 397.001 Holmes 1 11 0.00% 0.67 Indian River I 24I 11 271 42.11%1 23.33 Page 94 Create Date: 10/7/2013 Jackson 1 11 3+ 2 -33.33% 2.001 Lake 1 M0 481 71.43%1 35.33 Lee 1 1211 1211 1421 17.36%1 128.00 Leon 1 651 551 621 12.73%1 60.671 Levy 1 11 31 41 33.33%1 2.671 Liberty 1 21 11 0 -.100.00%1 1.001 Madison 1 11 01 0.00%1 0.33 Manatee 1 1061 1041 1201 15.38%1 110.001 Marion 1 361 461 681 47.83% 50.001 Martin 1 46� 311 351 12.90%1 37.331 Miami-Dade 1 521 6931 9.13%1 617.67 Monroe 1 9� g� 1341 67.50%1 103.001 Nassau 1 131 81 7 -12.50%1 9.331 Okaloosa 1 341 331 651 96.97%1 44.001 Okeechobee 1 6I 31 61 100.00%1 5.00 Orange 1 2" 3471 4301 23.92%1 355.331 Osceola 1 53 38 521 36.84% 47.671 Palm Beach 1 3571 3691 4311 16.80%1 385.671 Pasco 1 1291 1201 1311 9.17%1 126.067/11 Pinellas 1 36611 5491 47.98%1 428.67 Polk 1 i(eq 761 1161 52.63%1 99.001 Putnam 1 51 12 200.00%1 7.001 Santa Rosa 1 241 60.00%1 16.671 Sarasota 1 1121 1511 1641 8.61%1 142.33311 Seminole 1 621 95 1001 5.26%1 85.671 St.Johns 1 36 461 43 -6.52%1 41.671 St.Lucie 1 541 551 45 -18.18%1 51.331 Sumter 1 5I 51 4 -20.00%1 4.671 Suwannee 1 A 1 -50.00% 1.671 Taylor 1 OI 1 1 -66.67% 1.33 Union 11 0 -100.00% 0.33 Volusia 1 1711 1441 1801 25.00% 165.001 Wakulla 1 11 21 51 150.00%1 2.671 Walton 1 91 71 ill 57.14%1 9.001 Page 95 Create Date: 10/7/2013 Washington 1 11 1 0.00% 0.6'71 4,528 4,597 5,999 23.37 5,041 Page 96 Create Date: 10/7/2013 Crashes by Locality Locality Total Alcohol Percent Crashes Related/Suspected Crashes Alachua Alachua 15 121 7.74 Archer 1 11 5.88 Gainesville I 3,1661 1871 5.91 Hawthorne I 261 21 7.69 High Springs 1� 41 41 8.16 La Crosse I 8 01 0.00 Micanopy I 2A 11 4.17 Newberry I4A 21 4.55 Unincorporated I 97q 471 4.85 University of Florida I 31 5.56 Unknown I 61 71 10.45 Waldo 25 11 4.00 Alachua 4,605 2671 5.80 Baker Glen St.Mary I 1 41 40.00 Macclenny 1 611 41 6.56 Unincorporated I 22 301 13.39 Baker 29 381 12.88 Bay Calloway 13 91 6.67 Cedar Grove 1 11 01 0.00 Lynn Haven I 16 161 9.64 Mexico Beach I 6 21 33.33 Panama City I 1,372 1191 8.67 Panama City Beach I 43 731 16.78 Parker I 11 31 27.27 Springfield 1 11 101 9.09 Tyndall AFB I 11 01 0.00 Unincorporated I 1,0381 1491 14.35 Unknown 6 01 0.00 Bay 3,281 3811 11.61 Bradford Page 97 Create Date: 10/7/2013 Bradford Hampton I 1 01 0.00 Lawtey I4 21 100.00 Starke 11 20.00 Unincorporated 7 91 12.86 Bradford 781 121 15.38 Brevard Canova Beach I _ J2 11 50.00 Cape Canaveral 1111 231 20.72 Cocoa 45 401 8.79 Cocoa Beach I 2111 231 10.90 Eau Gallie I 01 0.00 Indialantic I 51 81 14.04 Indian Harbour Beach I 1 41 8.89 June Park I 11 01 0.00 Kennedy Space Center I 11 01 0.00 Malabar I 11 4.55 Melbourne I 1,0931 1031 9.42 Melbourne Beach 4 41 18.18 Melbourne Village I 11 01 0.00 Merritt Island I 2711 251 9.23 Mims 1 41 31 6.98 Palm Bay I 55 521 9.35 Palm Shores I 11 33.33 Patrick AFB I 11 01 0.00 Rockledge 12d 81 6.35 Satellite Beach I 5 51 8.93 South Patrick Shores I 81 01 0.00 Titusville I 49 321 6.46 Unincorporated I 1,9181 1251 6.52 Unknown I 11 01 0.00 West Melbourne I 21 201 9.26 Brevard 5,7181 4781 8.36 Broward Coconut Creek I 95 431 4.48 Cooper City 1 39 131 3.32 Coral Springs I 1,6481 441 2.67 Dania Beach I 6 361 5.32 Davie I 3,2601 1221 3.74 Page 98 Create Date: 10/7/2013 Broward Deerfield Beach I 1,551 721 4.64 Fort Lauderdale I 3,9711 2141 5.39 Hallandale I 854 251 2.93 Hillsboro Beach AOl 0.00 Hollywood I 3,0881 861 2.78 Lake Forest I OI 0.00 Lauderdale by the Sea 7 61 7.59 Lauderdale Lakes l 54 171 3.13 Lauderhill I 79 321 4.03 Lighthouse Point I 14A 111 7.64 Margate 30 181 5.90 Miramar l 75q 411 5.41 North Lauderdale 451 181 4.00 Oakland Park I 1,2841 591 4.60 Parkland l 8 21 2.44 Pembroke Park I 264 81 3.05 Pembroke Pines I 1,8351 721 3.92 Plantation I 1,415 441 3.11 Pompano Beach I 2,2%1 1291 5.62 Pompano Beach Highlands l 22 81 3.57 Sea Ranch Lakes I 11 OI 0.00 Seminole Indian Reservatiod 19 151 7.69 Sunrise I 9 311 3.43 Tamarac l 98 341 3.44 Unincorporated I 1,3571 441 3.24 West Park I 18 61 3.21 Weston I 43d 51 1.15 Wilton Manors l 204 291 14.36 lBooward 31,1471 1,2841 4.12 Calhoun Altha l 5 21 40.00 Blountstown i 21 9.09 Unincorporated l 11 131 11.30 lCalhoun 14 171 11.97 Charlotte Englewood I 17 191 10.80 Port Charlotte I 561 421 7.41 Punta Gorda l 42 341 7.93 Page 99 Create Date: 10/7/2013 Charlotte Unincorporated 1 26 201 7.43 Unknown 1 11 01 0.00 Charlotte 1,442 1151 7.98 Citrus Crystal River 1 11 71 6.09 Homosassa Springs 1 11 01 0.00 Inverness 1 141 7.61 Unincorporated 1 97 821 8.42 Citrus 1,283 1031 8.03 Clay Doctors Inlet ( 1 01 0.00 Green Cove Springs 1 981 101 10.20 Keystone Heights 1 2 21 6.90 Middleburg 3 41 10.53 Orange Park 1 1 111 6.55 Penny Farms ( 1 01 0.00 Unincorporated 1 1,5741 1171 7.43 Clay 1,909 1441 7.54 Collier East Naples 1 33 381 11.45 Everglades 1 11 16.67 Immolakee 1 13 171 12.23 Marco Island 1 11 111 9.65 Naples 1 34 211 6.07 North Naples 1 32A 391 12.04 Unincorporated 1 1,4421 1691 11.72 1Collier 2,703 2961 10.95 Columbia Fort White 1 01 0.00 Lake City 1 3 261 8.05 Unincorporated 1 78 841 10.73 1Columbia 1,109 1101 9.92 DeSoto Arcadia 1 2 351 11.71 Unincorporated 1 311 31 9.68 Page 100 Create Date: 10/7/2013 I DeSoto 331 381 11.52 Dixie Cross City 1 31 37.50 Horseshoe Beach 11 50.00 Unincorporated 1 13q 191 14.62 1 Dixie 140 231 16.43 Duval Atlantic Beach 1 11 161 13.68 Baldwin 1 11 11 5.26 Dinsmore 1 11 01 0.00 Jacksonville 1 17,6151 1,0401 5.90 Jacksonville Beach 1 541 601 10.93 Jacksonville Duval County S1A 01 0.00 Jacksonville NAS 1 11 01 0.00 Neptune Beach 1 6 181 27.69 Unincorporated I 131 71 5.11 University of North Florida 1 01 0.00 (Duval 18,550 1,1421 6.16 Escambia Brent 1 01 0.00 Cantonment 1 2 11 5.00 Century 1 21 22.22 Myrtle Grove 1 11 14.29 Pensacola 1 1,324 1321 9.97 Unincorporated 1 3,9941 3411 8.M University of West Florida 1 1 01 0.00 Unknown 1 � 01 0.00 Warrington I 1 01 0.00 West Pensacola I 1A 01 0.00 IEscambia 5,4031 4771 8.83 Flagler Beverly Beach I 01 0.00 Bunnell 1 84 191 23.17 Flagler Beach 1 41 61 15.00 Palm Coast 1 56 531 9.40 Unincorporated 1 141 271 18.37 IFlagler 830 1051 12.56 Page 101 Create Date: 10/7/2013 Franklin Apalachicola I OI 0.00 Carrabelle I 31 100.00 Eastpoint I 1 51 31.25 Unincorporated 8 141 17.07 I Franklin 101 221 21.36 Gadsden Chattahoochee I 181 31 16.67 Greensboro I OI 0.00 Gretna I 01 0.00 Havana I 1A 21 14.29 Midway I 21 11 3.45 Quincy I 1 11 10.00 Unincorporated 4811 431 8.94 Gadsden 664 50l 8.90 Gilchrist Bell I OI 0.00 Fanning Springs OI 0.00 Trenton I 2A 21 8.33 Unincorporated I 10 91 8.33 lGilchrist 1411 111 7.80 Glades Moore Haven I 211 OI 0.00 Unincorporated I 1311 81 6.11 IGlades 15 81 5.26 Gulf Port Saint Joe I 21 5.88 Unincorporated I 8 101 12.50 Wewahitchka Ij 11 14.29 IGulf 1211 131 10.74 Hamilton Jasper I 21 8.00 Jennings IA 01 0.00 Unincorporated I 1711 201 11.70 White Springs I 31 OI 0.00 lHamilton 20 221 10.84 Page 102 Create Date: 10/7/2013 Hardee Bowling Green I 4 1 I 2.17 Unincorporated I 11 2.94 Wauchula I 13 81 5.76 Zolfo Springs I 8q 31 3.49 Hardee 301 131 4.26 Hendry Clewiston I 51 5.95 La Belle I 4 41 8.70 Unincorporated I 1 271 17.53 Hendry 28 361 12.68 Hernando Brooksville I 16 11I 6.59 Unincorporated 1,5651 1181 7.54 Unknown I 25 141 5.47 Weekiwachee I 11 14.29 (Hernando 1,995 1441 7.22 Highlands Avon Park I 17 91 5.11 Lake Placid I 2011 231 11.44 Sebring I 3371 301 8.02 Sebring Airport I 11 01 0.00 Unincorporated I 14A 221 15.28 LHighlands 891 841 9.38 Hillsborough Brandon I 8 11 1.15 Palm River/Clair Mel A 01 0.00 Plant City 38 201 5.22 Ruskin IA 11 11.11 Tampa I 6,4571 4881 7.56 Tampa International Airp 781 61 7.69 Temple Terrace I 20A 161 7.84 Unincorporated I 12,8711 9551 7.42 University of South Florida I 8 21 2.33 Hillsborough 20,177 1,4891 7.38 Holmes Bonifay 11 01 0.00 Page 103 Create Date: 10/7/2013 Holmes Eto 1 1 01 0.00 Ponce De Leon 1 01 0.00 Unincorporated 19A 121 6.19 Westville 11 25.00 Holmes 21 131 6.07 Indian River Fellsmere 1 01 0.00 Indian River Shores 1 01 0.00 Sebastian 1 1011 131 12.87 Unincorporated 1 8211 671 8.16 Vero Beach 25 341 13.33 Indian River 1,192 1141 9.56 Jackson Alford 1 01 0.00 Graceville 1 11 11 9.09 Grand Ridge 1 01 0.00 Marianna 1 81 41 4.49 Sneads 1j 01 0.00 Unincorporated 1 514 341 6.64 Unknown 1 11 01 0.00 Jackson 620 391 6.29 Jefferson Monticello 1 11 14.29 Unincorporated 1 221 211 9.25 Jefferson 23 221 9.40 Lafayette Mayo 01 0.00 Unincorporated 1 34 11 3.13 Lafayette 381 11 2.63 Lake Astula 1 11 33.33 Clermont 1 41A 361 8.72 Eustis 1 131 121 8.89 Fruitland Park 1 90 81 8.89 Groveland 1 14 41 2.74 Howey-in-the-Hills 1 1 21 20.00 Page 104 Create Date: 10/7/2013 Lake Lady Lake 1 20 171 8.13 Leesburg 1 45 341 7.41 Mascotte 1 3 11 2.70 Minneola 1 21 51 17.24 Montverde 1A 01 0.00 Mount Dora 1 2811 271 9.61 Tavares 1 15 111 7.10 Umatilla 1 31 11 2.86 Unincorporated 1 1,004 951 9.46 1Lake 3,010 2541 8.44 Lee Bonita Springs 1 241 321 13.06 Cape Coral 1 1,223 1391 11.37 Fort Myers 1 2,3591 1901 8.05 Fort Myers Beach 1 81 291 32.58 Fort Myers SW 1 01 0.00 Fort Myers Village/Pin Mn 1 11 01 0.00 Lee County Airport Police 1 11 11 5.88 Lehigh Acres 1 35 301 8.43 North Fort Myers 1 44 31 7.14 Sanibel 1 11 11 100.00 Tice 1 31 01 0.00 Unincorporated 1 1,7281 1981 11.46 Unknown 1 1 41 23.53 1 Lee 6,084 6271 10.31 Leon Florida A&M University 1 51 11 1.82 Florida State University 1 4 121 25.00 Tallahassee 1 4,3851 2671 6.09 Unincorporated 1 1,0231 761 7.43 Unknown 1 24 01 0.00 I Leon 5,533 3561 6.43 Levy Bronson 1 1 11 8.33 Chiefland 1 61 71 10.45 Fanning Springs 4 01 0.00 Inglis 1 1 31 21.43 Page 105 Create Date: 10/7/2013 Levy Otter Creek l 01 0.00 Unincorporated 1 _ 30 171 5.54 Williston 1 331 01 0.00 Yankeetown l 11 01 0.00 Levy 43 281 6.38 Liberty Bristol l 1 01 0.00 Unincorporated l 551 121 21.82 l U berty 691 121 17.39 Madison Greenville l 5 11 20.00 Lee 11 01 0.00 Madison 5 21 4.00 Unincorporated l 26 241 9.06 Madison 321 271 8.36 Manatee Anna Maria 1 1 21 20.00 Bayshore Gardens l Ol 0.00 Bradenton l 2,722 1461 5.36 Bradenton Beach 1 1 31 21.43 Holmes Beach 1 5 51 10.00 Longboat Key 1 ill 11 9.09 Oneco l 51 01 0.00 Palmetto 1 60d 471 7.73 Parrish 1 51 14.71 Unincorporated l .574 831 14.51 West Bradenton l 44 141 3.13 Manatee 4,479 3061 6.83 Marion Belleview 1 151 ill 7.28 Dunnellon l21 01 0.00 McIntosh l 11 01 0.00 Ocala 1 1,8541 841 4.53 Reddick 1 31 01 0.00 Silver Springs Shore l 01 0.00 Unincorporated l 2,3821 1411 5.92 Page 106 Create Date: 10/7/2013 Marion West End 1 11 01 0.00 Marion 4,422 2361 5.34 Martin Hobe Sound 1 10 131 12.38 Indiantown 1 5 41 7.69 Jensen Beach 23 301 13.04 Jupiter Island 1 21 33.33 Palm City 1 1 141 9.72 Port Salerno 1 2 21 7.69 Sewalls Point 1 42 51 11.90 Stuart 1 45q 661 14.67 Unincorporated 5611 681 12.12 Unknown 1 11 01 0.00 Martin 1,617 2041 12.62 Miami-Dade Aventura 1 80 221 2.75 Bal Harbour 1 3 11 2.63 Bay Harbor Islands 1 401 01 0.00 Biscayne Gardens 1 01 0.00 Biscayne Park 1 01 0.00 Carol City 1 01 0.00 Coconut Grove 1 3411 121 3.52 Coral Gables 1 1,562 411 2.62 Cutler Ridge 1 3q 11 3.33 Dade County School PD 1 15A 21 1.32 Doral 1 1,4281371 2.59 El Portal 1 151 01 0.00 Florida City 1 51 2.24 Florida International Univer;l 611 01 0.00 Golden Beach 1 1 01 0.00 Golden Glades 1 01 0.00 Goulds 1 1A 01 0.00 Hialeah 1 4,3761 1071 2.45 Hialeah Gardens 1 71 1.58 Homestead 1 541 8.39 Homestead AFB 1 11 01 0.00 Indian Creek Village 1 31 01 0.00 Islandia 1 11 01 0.00 Page 107 Create Date: 10/7/2013 Miami-Dade Kendall I 40 71 1.72 Key Biscayne I 631 21 3.17 Leisure City OI 0.00 Medley I 25q 41 1.55 Miami I 12,1101 3371 2.78 Miami Beach I 2,36911531 6.46 Miami Gardens I 2,1471 561 2.61 Miami Lakes I 141 3.15 Miami Shores I 94 41 4.35 Miami Springs I 8 41 4.60 Miami TP I 1,2031 321 2.66 Miccosukee Indian Reservati 31 12.00 Naranja I 14 OI 0.00 North Bay Village I 51 31 5.77 North Miami I 1,4471421 2.90 North Miami Beach I 81q 221 2.70 Olympia Heights I 11 OI 0.00 Opa Locka I 9 41 4.30 Palmetto Bay I 23 ill 4.66 Perrine I OI 0.00 Pine Crest Village I 121 2.68 Richmond Heights I 2 OI 0.00 South Miami I 171 51 2.92 South Miami Heights I 11 11 10.00 Sunny Isles I 28A 181 6.38 Surfside I 81 21 2.30 Sweetwater I 5011 121 2.40 Unincorporated I 16,9291 4821 2.85 Unincorporated County I 911 91 9.89 University of Miami I 2 OI 0.00 Unknown I 251 21 8.00 Virginia Gardens I 351 OI 0.00 West Miami I 1 51 4.00 Westview I 11 OI 0.00 Miami-Dade 50,8131 1,5351 3.02 Monroe Boca Chica I OI 0.00 Islamorada I 1 151 11.19 Key Colony Beach I 81 OI 0.00 Page 108 Create Date: 10/7/2013 Monroe Key Largo I 15 161 10.46 Key West I 78q 971 12.44 Layton I OI 0.00 Marathon I 151 181 11.92 Plantation I 51 OI 0.00 Tavernier I 4 11 2.08 Unincorporated I 381 451 11.63 Mon roe 1,671 1921 11.49 Nassau Callahan I 2 21 7.14 Fernandina Beach 8 141 15.91 Hilliard 1 OI 0.00 Unincorporated I 461 531 11.30 Yulee 3 51 13.89 INassau 63 741 11.69 •kaloosa Cinco Bayou 1 OI 0.00 Crestview I 40 231 5.72 Destin I 30 591 19.16 Eglin I 11 OI 0.00 Fort Walton Beach I 15A 231 14.94 Mary Esther I 4 61 12.50 Niceville I 161 171 10.56 Ocean City I 11 OI 0.00 Shalimar I 4 OI 0.00 Unincorporated I 1,4191 1381 9.73 Unknown I 1 OI 0.00 Valparaiso I 1 11 7.69 10kaloosa 2,511 2671 10.63 Okeechobee Okeechobee I 1011 71 6.93 Unincorporated I 28 291 10.14 (Okeechobee 387 361 9.30 Orange Apopka I 46 421 9.01 Azalea Park I 1 OI 0.00 Page 109 Create Date: 10/7/2013 Orange Bay Lake l ill 01 0.00 Belle Isle 4J6 21 4.35 Conway 11 33.33 Eatonville l 01 0.00 Edgewood l 11 1.85 Lake Buena Vista l 3 61 20.00 Maitland l 371 121 3.17 McCoy AFB l 01 0.00 Mount Dora l 1 Ol 0.00 Oakland l 41 31 6.67 Ocoee 27 191 7.04 Orlando l 7,1361 2921 4.09 Orlando TP l 61 11 16.67 Orlando Transit Authority l 18 01 0.00 Unincorporated l 11,9831 4571 3.81 University of Central Floridzl4A 61 13.64 Unknown l 781 471 5.96 Orange 21,452 8891 4.14 Osceola Kissimmee l 39 161 4.06 St.Cloud I 10 781 78.00 Unincorporated ( 2,8311 921 3.25 Osceola 3,325 1861 5.59 Palm Beach Atlantis 5 21 3.45 Belle Glade l 171 51 2.92 Belvedere Homes l 11 01 0.00 Boca Raton l 1,7201 loll 5.87 Boynton Beach l 6 411 6.07 Briny Breezes lj 11 33.33 Cloud Lake l 11 Ol 0.00 Delray Beach l 1,3461 751 5.57 Florida Atlantic University l 261 Ol 0.00 Greenacres City l 37 451 12.06 Gulf Stream l 11 16.67 Haverhill l Ol 0.00 Hypoluxo l 1 Ol 0.00 Juno Beach l4A 31 6.82 Page 110 Create Date: 10/7/2013 Palm Beach Jupiter I 58 711 12.07 Lake Clark Shores I 4 31 6.98 Lake Park I 14 51 3.57 Lake Worth I 761 771 10.04 Lantana I 10 31 2.91 Loxahatchee Groves I 71 20.59 Manalapan I 1A 11 7.14 Mangonia Park I 61 21 3.08 North Palm Beach I 4 51 10.64 Ocean Ridge I 1 31 23.08 Pahokee I 3 11 3.03 Palm Beach I log 11I 10.19 Palm Beach Gardens I 77 641 8.28 Palm Beach School Board I 1 01 0.00 Palm Beach Shores I 01 0.00 Palm Springs I 19 341 17.26 Riviera Beach I 321 211 6.42 Royal Palm Beach I 36 261 7.16 South Bay I 2 01 0.00 South Palm Beach I 01 0.00 Tequesta Village I 21 11 3.70 Unincorporated I 6,5011 3891 5.98 Unknown I 1 01 0.00 Wellington ( 441 261 5.90 West Gate I 51 01 0.00 West Palm Beach I 1,6361 921 5.62 Palm Beach 16,7261 1,1161 6.67 Pasco Beacon Square I 01 0.00 Dade City I 1111 51 4.50 Land O Lakes I 21 01 0.00 New Port Richey I 361 291 8.06 Port Richey I 101 91 8.41 Saint Leo I 1 1I 10.00 San Antonio I 1 11 5.88 Unincorporated I 5,0761 3741 7.37 Unknown I 11 11 100.00 Zephyrhills I 2911 141 4.81 Pasco 5,997 4341 7.24 Page 111 Create Date: 10/7/2013 Pinellas Belleair 1 1 11 7.14 Belleair Beach 1 1 11 7.14 Belleair Bluffs 1 31 71 21.21 Clearwater 1 2,3091 1631 7.06 Dunedin 1 411 451 10.87 Eckerd College 1 11 01 0.00 Gulfport 8 91 10.23 Indian Rocks Beach 1 41 61 12.24 Indian Shores 1A 11 50.00 Kenneth City 1 4 41 8.51 Largo 1 73 901 12.18 Lealman 1 11 01 0.00 Madeira Beach 1 81 111 12.36 North Redington Beach 1 2 31 15.00 Oldsmar 25 251 9.88 Pinellas Park 1 8 811 9.71 Redington Beach 1 01 0.00 Redington Shores 1 11 01 0.00 Safety Harbor 12 91 6.98 Seminole 1 37q 411 10.85 Seminole Park 1 11 51 29.41 South Pasedena 561 31 5.36 St.Pete/Clearwater Airport 101 0.00 St.Petersburg 1 3,7501 3261 8.69 St.Petersburg Beach 1 171 281 15.64 Tarpon Springs 1 3511 341 9.69 Treasure Island 1 231 23.23 Unincorporated 3,7211 2171 5.83 Pinellas 13,600 1,1331 8.33 Polk Auburndale 23 81 3.36 Bartow 25 71 2.72 Davenport 1 21 31 13.04 Dundee 1 41 11 2.50 Eagle Lake 1 31 01 0.00 Fort Meade 1 351 11 2.86 Frostproof 1 81 01 0.00 Haines City 1 251 111 4.25 Lake Alfred 1 4 31 7.50 Page 112 Create Date: 10/7/2013 Polk Lake Hamilton I 31 12.00 Lake Wales I 18 121 6.42 Lakeland I 1,3571 1061 7.81 Mulberry I 51 51 9.09 Polk City I 11 01 0.00 Unincorporated I 3,494 2221 6.35 Winter Haven I 56 271 4.82 Polk 6,623 4091 6.18 Putnam Crescent City 01 0.00 Interlachen I 3 31 10.00 Palatka I 314 131 4.17 Unincorporated I 49 541 10.84 Unknown I 01 0.00 Welaka 11 50.00 j Putnam 86A 711 8.19 Santa Rosa Eglin AFB 11 01 0.00 Gulf Breeze I 11 01 0.00 Jay I 01 0.00 Milton I 17 41 2.35 Unincorporated I 1,4781 1191 8.05 Whiting Field I 11 01 0.00 Santa Rosa 1,6661 1231 7.38 Sarasota Englewood 01 0.00 Gulf Gate Estates I 51 01 0.00 Kensington Park I 31 11 33.33 Longboat Key I 281 21 7.14 Nokomis/Laurel 51 21 3.92 North Port ( 471 421 8.88 Sarasota I 2,1421 1401 6.54 Sarasota South I 11 01 0.00 Sarasota Southeast I4 01 0.00 Sarasota-Manatee Airport I 11 01 0.00 Siesta Key I 121 28.57 Unincorporated I 1,2841 1421 11.06 Page 113 Create Date: 10/7/2013 Sarasota Venice I 3811 20I 5.25 Venice South I 51 OI 0.00 I Sarasota 4,425 3511 7.93 Seminole Altamonte Springs I 6411 211 3.28 Casselberry I 4 421 9.81 Lake Mary I 2711 181 6.64 Longwood I 34 141 4.06 Oviedo I 361 261 7.05 Sanford I 85 371 4.34 Unincorporated I 1,1541 831 7.19 Unknown I 31 OI 0.00 Winter Springs I 21q 151 7.14 ISeminole 4,302 2561 5.95 St. Johns Florida School for Deaf/Blinl OI 0.00 Hastings I 21 9.09 Marineland I 11 OI 0.00 Ponte Vedra I 1411 191 13.48 St. Augustine I 6 711 11.06 St.Augustine Beach I 74 191 26.39 Unincorporated I 1,5081 1431 9.48 Unknown I 1 OI 0.00 ISt.Johns 2,390 2541 10.63 St. Lucie Fort Pierce I 77 381 4.90 Fort Pierce NW I 11 OI 0.00 Port St.Lucie I 911 851 9.25 St.Lucie Village I 11 11 100.00 Unincorporated I 8611 771 8.94 Unknown I 6 11 16.67 ISt. Lucie 2,563 202I 7.88 Sumter Bushnell I 3 51 14.29 Center Hill I 31 OI 0.00 Coleman I 31 21 66.67 Page 114 Create Date: 10/7/2013 Sumter Unincorporated 1 45 351 7.68 Unknown 1 11 01 0.00 Webster 1 31 01 0.00 Wildwood 11 21 2.60 Sumter 57 "1 7.61 Suwannee Branford 1 01 0.00 Live Oak 1 7 21 2.63 Unincorporated 1 40 481 11.82 Suwannee 48q 501 10.29 Taylor Perry 1 60 1l 1.67 Steinhatchee 1 21 100.00 Unincorporated 161 281 16.57 Unknown 1 1 11 100.00 1Taylor 23 321 13.79 Union Lake Butler 1 2 21 7.69 Raiford 1A 11 25.00 Unincorporated 1 61 71 10.14 Worthing Springs 1 51 01 0.00 1Union 10 101 9.62 Volusia Ormond Beach 1 7 491 6.96 Ormond By The Sea 1 211 61 28.57 Pierson 1 71 15.91 Ponce Inlet 1 1 11 8.33 Port Orange 1 58 441 7.50 Seville 1 1 41 50.00 South Daytona 1 1611 201 12.42 Stetson University 1 1 11 33.33 Unincorporated I 58q 411 7.07 Unknown 1 4,42013511 7.94 1Volusia 6,5401 5241 8.01 Wakulla Crawfordville 1 1 271 17.53 Page 115 Create Date: 10/7/2013 Wakulla Sopchoppy I 1 11 100.00 Unincorporated I 1111 241 21.62 Wakulla I 11 01 0.00 Wakulla 261 521 19.48 Walton Defuniak �SP rin 131 41 2.96 J Freeport I 1 11 6.67 Paxton I 11 01 0.00 Santa Rosa Beach I 311 51 16.13 Unincorporated 721 881 12.10 Walton 901 981 10.78 Washington Caryville I 3 21 5.41 Ebro I 11 50.00 Unincorporated I 201 271 12.92 Vernon I 11 20.00 Washington 25 311 12.25 Grand Total: 281,503 17,530 6.23 The information contained herein represents data from the long-form crash report (HSMV 9001OS) as filed by law enforcement agencies in the state of Florida. This information is provided to the public through a partnership with the Florida Department of Highway Safety and Motor Vehicles and Appriss, Inc., Division of Public Information Management. Please refer all inquiries to Fires@appriss.com or call 866-495-4206. Page 116 0 U.S.Department ** of Transportation NaOond MWwM NHTSA 1M ft wwwnhU&PY Adu*fttrcMw DOT HS 810 968 June 2008 National Pedestrian Crash Report This document is available to the public from the National Technical Information Service, Springfield,Virginia 22161 This publication is distributed by the U.S. Department of Transportation,National Highway Traffic Safety Administration, in the interest of information exchange. The opinions, findings, and conclusions expressed in this publication are those of the authors and not necessarily those of the Department of Transportation or the National Highway Traffic Safety Administration. The United States Government assumes no liability for its contents or use thereof. If trade or manufacturers' names or products are mentioned, it is because they are considered essential to the object of the publication and should not be construed as an endorsement. The United States Government does not endorse products or manufacturers. Technical Report Documentation Page 1. Report No. Government Accession No. 3. Recipient's Catalog No. DOT HS 810 968 r. 4.Title and Subtitle 5. Report Date National Pedestrian Crash Report June 2008 6. Performing Organization Code NVS-424 7.Author(s) 8. Performing Organization Report Dow Chang, Ph.D. and P.E. No. 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) National Center for Statistics and Analysis National Highway Traffic Safety Administration 11. Contract or Grant No. U.S. Department of Transportation 1200 New Jersey Avenue SE. ashington, DC 20590 12. Sponsoring Agency Name and Address 13. Type of Report and Period National Center for Statistics and Analysis Covered National Highway Traffic Safety Administration NHTSA Technical Report U.S. Department of Transportation 14. Sponsoring Agency Code 1200 New Jersey Avenue SE. ashington, DC 20590 15. Supplementary Notes 16.Abstract The purpose of this technical report is to analyze the latest trends in pedestrian fatalities and police-reported motor vehicle crashes involving a pedestrian in the United States since 1997.Key findings in the report are: Pedestrian fatalities declined between 1997 and 2006.However,the probability of a pedestrian fatality in a crash increased while the probability of a pedestrian crash declined. About two-thirds of pedestrian fatalities were in urban areas.Of the nearly 42,500 cities or towns listed according U.S.Geographic Location Codes by the General Services Administration,only 13 percent of them accounted for those pedestrian fatalities in urban areas. Nationwide,nearly two pedestrians died in vehicle crashes per 100,000 population,and a pedestrian crash death occurred every 70 million miles walked. January 1 and October 31 were the two most deadly days of the year,having the highest number of pedestrian lilies. Pedestrians are more likely to be killed in a crash between 3 a.m.and 6 a.m.or during the weekend on Saturday or Sunday. Males have a much higher probability than females to be killed in a crash. The older age group(over 64)has a much greater possibility than other age groups to be killed in a crash. As a pedestrian's blood alcohol concentration(BAC)increases,the probability of a pedestrian getting killed in a crash increases. Pedestrians have a higher possibility to be killed in non-speeding conditions than in speeding conditions based on ;atality per crash. Pedestrians are more likely to be killed in a crash under a sleet condition than under any other weather condition based on fatality per crash. Pedestrians have a higher probability to be killed in a crash under a dark condition than under other light editions. With regard to posted speed limits,the higher the posted speed limit,the higher the probability of a pedestrian lily. 17. Key Words 18. Distribution Statement Pedestrian fatalities,pedestrian crashes,pedestrian This report is free of charge from the NHTSA Web site fatality probability,pedestrian crash probability,crash at www.nhtsa.dot.gov trend,crash location,crash time,pedestrian factors, vehicle driver factors,and other factors. 19.Security Classif. (of this 0. Security Classif. (of this 21. No.of Pages 22. report) Unclassified page) 3 Price Unclassified Form DOT F 1700.7(8-72) Reproduction of completed page authorized TABLE OF CONTENTS LISTOF FIGURES..........................................................................................................3 LISTOF TABLES...........................................................................................................5 EXECUTIVESUMMARY................................................................................................6 Purpose......................................................................................................................6 Findings......................................................................................................................6 INTRODUCTION.............................................................................................................8 Goals...........................................................................................................................8 Methods......................................................................................................................8 Limitations ...............................................................................................................10 LONG-TERM TREND...................................................................................................11 Proportion in Total Crash Death.............................................................................11 Five Ways to See the Future...................................................................................11 CRASHLOCATION......................................................................................................15 CrashPlace..............................................................................................................15 AdministrationRegion ............................................................................................16 DeathDensity...........................................................................................................17 CRASHTIME................................................................................................................20 CalendarUnit...........................................................................................................20 ClockTime ...............................................................................................................21 DeathTime Interval..................................................................................................22 PEDESTRIAN INFORMATION.....................................................................................24 Pedestrian Characteristics .....................................................................................24 PedestrianActions..................................................................................................26 DRIVER INFORMATION ..............................................................................................28 Driver Characteristics .............................................................................................28 DriverActions..........................................................................................................29 OTHER CRASH FACTORS..........................................................................................31 FINDINGS.....................................................................................................................34 Trend.........................................................................................................................34 Location....................................................................................................................34 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 1 Time..........................................................................................................................35 PedestrianFactors ..................................................................................................35 VehicleDriver...........................................................................................................36 OtherFactors...........................................................................................................36 APPENDIXA................................................................................................................37 FARS Data 1997-2005 (Final), 2006 (ARF)..............................................................37 APPENDIXB................................................................................................................56 NASS GES Data 1997-2006.....................................................................................56 ExposureData..........................................................................................................58 APPENDIXC ................................................................................................................60 NHTSA Operation Regions .....................................................................................60 APPENDIXD................................................................................................................61 References ...............................................................................................................61 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 2 LIST OF FIGURES Figure 1-1: Distribution of Total Motor Vehicle Crash Fatalities by Person Type.......................................11 Figure 1-2: Pedestrian Fatalities and Police-Reported Pedestrian Crashes by Year.................................11 Figure 1-3: Percentage of Pedestrian Fatalities by Year............................................................................12 Figure 1-4:Annual Percent Change in Pedestrian Fatalities......................................................................12 Figure 1-5: Pedestrian Killed Probability and Crash Probability by Year....................................................13 Figure 1-6: Pedestrian Fatality Rate per One Billion VMT by Year............................................................13 Figure 1-7: Pedestrians Killed by Crash Type and Year.............................................................................14 Figure 2-1: Distribution of Cities by Group of Pedestrian Killed..................................................................15 Figure 2-2: Distribution of Pedestrian Fatalities by NHTSA Operation Regions.........................................17 Figure 2-3:Average Pedestrian Fatality,Total Fatality, and Pedestrian Crash per Capita........................17 Figure 2-4:Average Pedestrian Fatality Rate per 100,000 Population by State........................................18 Figure 2-5: Miles per Pedestrian Fatality,Vehicle Occupant Fatality, and Pedestrian Crash....................19 Figure 2-6: Pedestrian Fatality Rate and Vehicle Occupant Fatality Rate per Mile Traveled ....................19 Figure 2-7: Pedestrian Crashes and Motor Vehicle Crashes per Mile Traveled ........................................19 Figure 3-1: Distribution of Pedestrian Fatalities by Day of the Week.........................................................20 Figure 3-2: Pedestrian Fatality Probability per Crash by Day of the Week................................................21 Figure 3-3: Distribution of Pedestrian Fatalities by Month..........................................................................21 Figure 3-4: Distribution of Pedestrian Fatalities by Season........................................................................21 Figure 3-5: Distribution of Pedestrian Fatalities by Time of Day.................................................................22 Figure 3-6: Pedestrian Fatality Probability per Crash by Time of Day........................................................22 Figure 3-7:Average Pedestrian Fatalities, Total Crash Fatalities, and Pedestrian Crashes per Day........22 Figure 3-8:Average Minutes per Pedestrian Fatality,Total Fatality, and Pedestrian Crash......................23 Figure 4-1: Distribution of Pedestrian Fatalities by Sex..............................................................................24 Figure 4-2: Probability of a Pedestrian Killed per Crash by Sex.................................................................24 Figure 4-3: Distribution of Pedestrian Fatalities by Race............................................................................24 Figure 4-4: Distribution of Pedestrian Fatalities by Age Group...................................................................25 Figure 4-5: Distribution of Pedestrian Fatality and Population by Age Group............................................25 Figure 4-6: Pedestrian Fatality Probability per Crash by Age Group..........................................................25 Figure 4-7: Distribution of Pedestrian Fatalities by Hispanic Origin............................................................26 Figure 4-8: Distribution of Pedestrian Fatalities by BAC Level...................................................................26 Figure 4-9: Pedestrian Fatality Probability per Crash by Alcohol Involvement...........................................26 Figure 4-10: Distribution of Pedestrian Action in Fatal Crashes.................................................................27 Figure 5-1: Distribution of Vehicle Drivers by Sex in Fatal Pedestrian Crashes.........................................28 Figure 5-2: Distribution of Vehicle Drivers by Age Group in Fatal Pedestrian Crashes.............................28 Figure 5-3: Distribution of Vehicle Drivers by Driver Survival Status..........................................................29 Figure 5-4: Distribution of Vehicle Drivers Involved by BAC Level.............................................................29 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 3 Figure 5-5: Distribution of Vehicle Drivers by Speeding Status..................................................................29 Figure 5-6: Pedestrian Fatality Probability per Crash by Driver Speeding Status......................................30 Figure 5-7: Driver Distribution by Behavior in Fatal Pedestrian Crashes...................................................30 Figure 6-1: Distribution of Pedestrian Fatalities by Atmospheric Condition................................................31 Figure 6-2: Pedestrian Fatality Probability per Crash by Atmospheric Condition.......................................31 Figure 6-3: Distribution of Pedestrian Fatalities by Light Condition............................................................32 Figure 6-4: Pedestrian Fatality Probability per Crash by Light Condition...................................................32 Figure 6-5: Distribution of Pedestrian Fatalities by Posted Speed Limit.....................................................33 Figure 6-6: Pedestrian Fatality Probability per Crash by Posted Speed Limit............................................33 Figure 6-7: Distribution of Pedestrian Fatalities by Hit-and-Run.................................................................33 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 4 LIST OF TABLES Table 1: Matrix of Figures and Tables by Data Sources and Variables--- 9 Table 2: Distribution of Pedestrian Fatalities by Roadway Section and Crosswalk Availability —15 Table 3: Distribution of Pedestrian Fatalities by Roadway Function Class and Land Use —16 Table 4: Top Five Cities With the Highest Pedestrian I Fatalities 16 Table 5: Top Three States With the Highest or Lowest Pedestrian Fatalities 16 Table 6: Deadliest Days for Pedestrians, Ranked by Specific Time Spans 20 Table 7: Distribution of Pedestrian BAC and Driver BAC in Fatal Pedestrian Crashes— 32 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 5 EXECUTIVE SUMMARY Purpose The purpose of this technical report is to analyze the latest trends in pedestrian fatalities and police- reported motor vehicle crashes involving a pedestrian in the United States since 1997. This report also attempts to provide some insight into the following pedestrian crash characteristics: • Location • Time • Pedestrian factors • Vehicle driver • Other crash factors, such as weather, light condition, or posted speed limit Findings Major findings are summarized in two groups as shown below. KEY FINDINGS • Pedestrian fatalities declined between 1997 and 2006. However, the probability of a pedestrian fatality in a crash increased while the probability of a pedestrian crash declined. • About two-thirds of pedestrian fatalities were in urban areas. Of the nearly 42,500 cities or towns listed according the U.S. Geographic Location Codes by the General Services Administration, only 13 percent of them accounted for those pedestrian fatalities in urban areas. • Nationwide, nearly two pedestrians died in vehicle crashes per 100,000 population, and a pedestrian crash death occurred every 70 million miles walked. • January 1 and October 31 were the two most deadly days of the year, having the highest number of pedestrian fatalities. • Pedestrians are more likely to be killed in a crash between 3 a.m. and 6 a.m. or during the weekend on Saturday or Sunday. • Males have a much higher probability than females to be killed in a crash. •. The older age group (over 64) has a much greater possibility than other age groups to be killed in a crash. • As a pedestrian's blood alcohol concentration (BAC) increases, the probability of a pedestrian getting killed in a crash increases. • Pedestrians have a higher possibility to be killed in non-speeding conditions than in speeding conditions based on fatality per crash. • Pedestrians are more likely to be killed in a crash under a sleet condition than under any other weather condition based on fatality per crash. • Pedestrians have a higher probability to be killed in a crash under a dark condition than under other light conditions. • With regards to posted speed limits, the higher the posted speed limit, the higher the probability of a pedestrian fatality. GENERAL FINDINGS • Pedestrian crash deaths constituted 11 percent of total crash fatalities in 2006, down from 13 percent in 1997. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 6 • Pedestrian crash fatalities are decreasing slowly. • The pedestrian fatality rate per vehicle mile traveled has declined as a longer term trend. • Single-vehicle crashes on roadways make up an overwhelming majority of pedestrian deaths. • The significance of non-intersections, urban roadways, and city streets as closely related to pedestrian fatalities mentioned in an early research report' are confirmed by this report. • The number of pedestrians killed in NHTSA operation regions 4 and 9 is greater than any other NHTSA operation regions. • California, Florida, and Texas have more pedestrian deaths than any other States. Based on the pedestrian death percentages as a proportion of total pedestrian fatalities, the cities of New York, Los Angeles, Chicago, Phoenix, and Houston are the top five. • New Mexico has the highest pedestrian death rate per capita, and New Hampshire has the lowest. • The most deadly season for pedestrian fatalities is autumn. • The number of pedestrians killed between 6 p.m. and 9 p.m. is greater than during any other 3-hour time frame. • Friday and Saturday have higher fatality rates than any other day of the week. October, November, and December have higher fatality rates than any other month. These results are the same as in the previous report.2 • On average, 13 pedestrians die in vehicle crashes each day, or one pedestrian every 107 minutes. • The majority of killed pedestrians were male, elderly, White, Non-Hispanic, and had no alcohol involvement, yet they carried out one or more unsafe actions during the crash. • The majority of drivers in fatal pedestrian crashes were male, between the ages of 21 and 25, were not drinking, and were not speeding. • This report also confirmed an earlier published report that almost all drivers survived the fatal pedestrian crashes, and most drivers committed at least one erroneous action. • Bad weather does not necessarily contribute to a pedestrian death, but a bad light condition does. • Nearly 46 percent of pedestrian fatalities are alcohol-involved. • One in five pedestrians killed were killed in hit-and-run motor vehicle crashes. 1 See reference No.1 in Appendix D. 2 See reference No.7 in Appendix D. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 7 INTRODUCTION To protect pedestrians from crashes with motor vehicles and reduce their risk on roadways is one of the main goals of transportation safety. Learning about and studying pedestrian crashes, especially those related to the deaths of pedestrians, is a part of the effort to reach that goal. This document describes pedestrian crash fatalities and injuries in the United States by providing statistics and crash characteristics. The statistics cover pedestrian crash deaths and injuries nationwide from 1997 to 2006. Results of the data analysis are reported. Procedures used to discover the findings are explained. The goals, methods, findings, and limitations of this technical report are introduced in the following subsections. Goals Although the title of this document indicates the focus of the report, many details such as pedestrian characteristics, roadway location, and crash date still need to be addressed. This statistical report follows up the previous report "Pedestrian Roadway Fatalities" published in April 2003. The current report attempts to answer the following questions with details from the most recent available data: • What is the latest trend in pedestrian crash deaths? • Where are the fatal crashes? • When do fatal crashes occur? • Who are the vehicle drivers and pedestrians? • What are other crash factors? Analyzing these factors and conditions will help in developing safety programs and countermeasures for pedestrian safety. Methods In order to reach the goals,five major steps were taken. First, the territory and time span were determined. This study covers Washington, DC; Hawaii; Alaska; and the 48 continental United States. Not included are Puerto Rico, the Virgin Islands, and other U.S. Territories. The analysis covers 10 years,from 1997 to 2006. Second, primary data was determined by analyzing the variables and examining the observations in Fatality Analysis Reporting System (FARS) and General Estimates System (GES) separately and combined. Twenty-six FARS variables have been used to create 29 distributions for pedestrian crash deaths. These joint distributions, also called cross tabs, were all determined by two single variables. They are presented in Appendix A. In addition, 12 GES variables have been used to create 11 distributions for pedestrian crashes. These distributions and their standard deviations are attached in Appendix B. Pedestrian crashes in this report are based on all police-reported crashes in which a pedestrian was killed or injured. The fatal pedestrian crashes are from the FARS, and other pedestrian crashes where injury occurred are from the GES in National Automotive Sampling System. Third, a literature survey was conducted to search secondary data sources and select the exposure data. Forty four documents published after 1990 were reviewed. All references are listed in Appendix D. The secondary data, shown in Tables B-12, B-13, and B-14 or in the article, came from the publications of the following six organizations: • U.S. Census Bureau • Transportation Research Board of the National Academies NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 8 • Federal Highway Administration • Bureau of Transportation Statistics • Insurance Institute for Highway Safety • National Highway Traffic Safety Administration Table 1: Matrix of Figures and Tables by Data Sources and Variables Source Variable Name Factor Group Figure No. Table No. Year Trend 1-1 to 1-7 V Forms 1-7 City 2-1 5 State Where 2-2 to 2-5 4 Location 2 Road Fnc 3 Weekday 3-1 Month When 3-3,3-4 Hour 3-5 Day 6 Sex 4-1,5-1 FARS P CF1,to P CF3 4-10 Race 4-3 Age 4-4,4-5,5-2 Hispanic Who 4-7 BAC 4-8,5-4 7 Drinking 4-9 Harm Ev 5-3 Speeding 5-5 Dr CF1 to Dr CF4 5-7 Weather 6-1 L t Cond Other Factors 6-3 S Limit 6-5 Hit Run 6-7 Year Trend 1-2, 1-6 Weekday When 3-2 Hour I 3-6 Sex 4-2 NASS GES Age Who 4-6 Alcohol 4-9 S eedrel 5-6 Weather 1 6-2 L ht Con Other Factors 6-4 S d Lim 6-6 Fourth, 46 figures and 6 tables were created using the gathered data in Appendix A and Appendix B. The organization of the data sources, variables, figures, and tables for this document are illustrated in Table 1. As the table shows, 7 figures were created to show trends. Seven figures and 4 tables were produced to show where crashes occurred. One table and 8 figures were produced to show when crashes occurred. Seventeen figures show who the pedestrians and drivers were. One table and 7 figures are dedicated to other crash factors. Figures 2-6 and 2-7 were not included in Table 1 because there is no connection between the figures and the listed variables. Finally, the results from the analysis were organized and used to support the findings. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 9 Some differences between this report and the previous pedestrian report are: • This report includes GES data to cover non-fatal pedestrian crashes; • This report consists of additional exposure data, such as the number of walkers and their travel distance, to make the scope of analysis wider; • In addition to pedestrian deaths in single-vehicle crashes, pedestrian deaths in multiple-vehicle crashes are included; and • To identifypatterns, three overlapping time spans area lied in this analysis. The are the P PP 9 P PP Y Y overall 10-year period 1997-2006, the 5-year period of 2002-2006, and the 2-year period of 2005- 2006. After looking at all three time spans, it was determined that the differences between 10, 5, and 2 years are negligible. Therefore, only the analysis results for the 10-year period are shown in this document. Limitations Three major limitations of this report are: • The national estimates produced from GES data may differ from the true values, because they are based on a probability sample of crashes and not a census of all crashes. The size of these differences may vary depending on which sample of crashes was selected and the universe from which they are selected. The standard deviations; shown in Appendix B, of an estimate is a measure of the precision or reliability with which an estimate from this particular GES sample approximates the results of a census. Care should be taken while interpreting trend in this report due to the year-to-year differences resulting from the sampling process. • Multiple factors may affect a pedestrian crash. Generally, a pedestrian crash may have been caused by a variety of conditions meeting at the same time. Using many joint distributions of two single variables, this report explores the possible factors by combining two conditions at a time. Analyzing pedestrian crashes by simultaneously mixing a set of five or more crash conditions may create a better understanding of the actual factors of pedestrian fatalities. • This report does not analyze all variables within the FARS files. Also, the analysis and its results for this report are limited by what the FARS and GES contain through calendar year 2006. Periodically undertaking studies and reporting further findings will assist in understanding any changes in crash factors. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 10 LONG-TERM TREND Trends in pedestrian crash fatalities since 1997 are presented in the following two subsections. Proportion of Total Crash Deaths Pedestrian crash deaths comprise one part of the total deaths from motor vehicle crashes. From 1997 to 2006, there were 49,128 pedestrian fatalities, representing 12 percent all fatalities (424,840) in motor vehicle crashes. The rest of those killed in motor vehicle crashes were vehicle occupants (drivers and passengers), motorcycle riders, bicyclists, and others. Figure 1-1: Distribution of Total Motor Vehicle Crash Fatalities by Person Type Crash Fatalities Pedestrian 12% Non- P/ Pedestian 88% Source: FARS 1997-2005 (Final), 2006 (ARF) Comparing the pedestrian fatalities by gender, female pedestrian fatalities account for 11 percent of the total females killed in motor vehicle crashes. Male pedestrian fatalities make up approximately 12 percent of the total males killed in crashes. Five Ways to See the Future FEWER PEDESTRIAN CRASHES, FEWER PEDESTRIAN CRASH DEATHS The number of deaths in motor vehicle crashes maintained at around 43,000 per year between 1997 and 2006. In some groups, notably among motorcycle riders, deaths have been increasing. Meanwhile, the pedestrian crash fatality rate continues a long-term decline. Since 1997, pedestrian fatalities have declined by 10 percent. This is the largest decrease in motor vehicle deaths among any person category. Figure 1-2: Pedestrian Fatalities and Police-Reported Pedestrian Crashes by Year 92,719 85,010 85,088 84,623 Number 76,337 76,709 76,499 74,828 70,421 Fledestrian Crash Death Pedestrian Crash 67,537 5,321 5,228 4,939 4,763 4,901 4,851 4,774 4,675 4,892 4,784 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 11 A review of FARS data shows that pedestrian crash deaths declined between 1997 and 2006. In 1997, there were an estimated 85,010 police-reported pedestrian crashes, and 5,321 of those incidents resulted in pedestrian deaths. In 2006, these figures declined to 67,573 for total pedestrian crashes and 4,784 for pedestrian crash deaths, a 20-percent decrease for pedestrian crashes (subject to sampling errors) and 10-percent reduction for pedestrian crash deaths. This trend points out that pedestrian crashes are dropping faster than pedestrian crash deaths. Figure 1-2 shows pedestrian crashes on a downward trend since 1999. PERCENTAGE OF PEDESTRIAN DEATHS IS SHRINKING Pedestrians represented the second largest group of motor vehicle crash deaths before 2006, following only vehicle occupant deaths and exceeding motorcycle rider deaths. As seen in the trends, the pedestrian death problem has not worsened. In 2006, motorcycle rider fatalities surpassed pedestrian crash fatalities for the first time since 1975. This change made pedestrian crash deaths drop to the third largest proportion of crash fatalities by person type. The fraction of crash deaths made up by pedestrians decreased each year from 1997 to 2000, yet no significant changes have been seen between 2000 and 2006. Figure 1-3 shows the change of percentages from 1997 to 2006. Figure 1-3: Percentage of Pedestrian Fatalities b Year 9 9 Y 13 13 12 12 11 11 11 11 11 11 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year Source: FARS 1997-2005 (Final), 2006 (ARF) Pedestrian fatalities have decreased 8 of the 10 years between 1997 and 2006. The maximum increase was 4.6 percent in 2005, and the maximum reduction was 5.5 percent in 1999. As the figure below illustrates, the average change of pedestrian deaths from 1997 through 2006 is minus one percent per year. Figure 14: Annual Percent Change in Pedestrian Fatalities Yearly 2.9% 4.6% .. 0—..Average �7 Q@8 9 2gQ0 2pp1 2gQ2 2gQ3 2gQ4 2pQ5 2gQ6 -1.0% -1.7% -1.6% o -2.3% -2.1/o -2.2% -3.6% -5.5% Source: FARS 1997-2005 (Final), 2006 (ARF) NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 12 HIGHER PROBABILITY OF A PEDESTRIAN KILLED IN A PEDESTRIAN CRASH In this subsection, the pedestrian crash probability is calculated by the number of police-reported pedestrian crashes divided by the total number of police-reported motor vehicle crashes. The number of pedestrian crashes is the number of pedestrians, fatal or not fatal, that collide with motor vehicles on roadway. The pedestrian fatality probability is obtained by the number of pedestrian crash fatalities divided by the total number of pedestrian crashes. In other words, the fatality probability is the average number of deaths per crash. Figure 1-5 shows that the pedestrian crash probability has not significantly changed over the past decade, yet the pedestrian fatality probability increased more than one third -from 5.3 percent in 1999 to 7.1 percent in 2006. It has steadily increased since 1999. Figure 1-5: Pedestrian Fatality Probability and Crash Probability by Year , '*--->---* ♦ �� 6.87 %. 5.3 .....� ��.......4' "�� 6.9 7.1 . _� . 8 6.2 6.2 6.3 5.6 �""`$�.� 6.3 % --*---,Fatality Probability ---Gash Probability 1.3 1.2 1.5 1.3 1.3 1.2 1 2 1.2 1.1 1.1 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 The results of a 10-year ratio analysis indicated that the crash probability of a pedestrian is 1 out of 100 motor vehicle crashes, but the fatality probability of a pedestrian is 6 out of 100 pedestrian crashes. PEDESTRIAN FATALITIES PER VEHICLE MILES TRAVELED ARE DECREASING In this subsection, annual pedestrian deaths divided by annual vehicle miles traveled (VMT) as an indicator will be used to present the trends. In other words, the annual pedestrian death per VMT has been calculated for every year from 1997 to 2006. Figure 1-6: Pedestrian Fatality Rate per One Billion VMT by Year 2.08 1.99 -0-P d death per 1 billion VMT 1.84 1.73 1.75 1.70 1.65 1.58 1.64 1.59 -T 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year Source: FARS 1997-2005 (Final, 2006 (ARF) and FHWA Highway Statistics As shown in Figure 1-6, the pedestrian crash fatality rate per one billion VMT has been in a downward trend during the past 10 years. Pedestrian crash deaths per one billion VMT declined from close to 2.1 in 1997 to near 1.6 in 2004. This rate stayed at roughly 1.6 with no significant change from 2004 to 2006. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 13 SINGLE-VEHICLE CRASHES DOMINANT CAUSE OF PEDESTRIAN DEATHS Figure 1-7 below shows the distribution of pedestrian fatalities by crash type and calendar year from 1997 to 2006. The proportion of pedestrian deaths in single-vehicle (SV) crashes did not show any significant change between 1997 and 2006. Pedestrians are often killed in SV crashes. An overwhelming majority of pedestrian deaths—more than 90 percent—are in SV crashes. Figure 1-7: Pedestrians Killed by Crash Type and Year Single Vehicle Crash p Multiple Vehicle Crash 4,876 4,801 4,516 4,340 4,480 4,445 4,310 4,237 4,445 4,327 92% 92% 75 91% 91% 91% 92% 90% 91% 91% 91% co C m a a 445 427 423 423 421 406 464 438 447 457 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Year Source: FARS 1997-2005 (Final), 2006 (ARF) NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 14 CRASH LOCATION In this section, the statistics relating to pedestrian crashes or fatalities on various roadway sections and location are presented. The pedestrian death density is also introduced as another measure of rate. Crash Place PEDESTRIAN LOCATION Over three-fourths (78%) of the pedestrians were killed at non-intersections and less than one-fourth (21.2%)were killed at intersections over the past decade. Table 2 shows that roadways without crosswalks accounted for 42 percent of all pedestrian fatalities. The table also shows that the percentage of pedestrian deaths in crosswalks (near 9%) is less than deaths in roadways (80%). This indicates that using a crosswalk is the safest way to cross a street. Table 2: Distribution of Pedestrian Fatalities by Roadway Section and Crosswalk Availability Pedestrian Location Section Crosswalk Availability Roadway Crosswalk Other Total Available 21.1% 8.8% 0.0% 29.9% Not Available 41.8% 0.0% 6.1% 47.9% Unknown 16.8% 0.0% 5.4% 22.2% Total 79.7% 8.8% 11.5% 100.0% Source: FARS 1997-2005(Final),2006(ARF) URBAN AREA City streets (urban areas) accounted for almost 67 percent of all pedestrian crash deaths. According to U.S. Geographic Locator Codes (GLC) provided by the U.S. General Services Administration (GSA), the United States had about 42,488 cities or towns at the end of 2006. Between 1997 and 2006, 36,830 of the cities had no pedestrian deaths and 5,658 of the cities had pedestrian deaths — meaning 87 percent of the cities did not have pedestrian fatalities in motor vehicle crashes and only 13 percent of cities accounted for all pedestrian deaths in urban areas. Most of the cities that had pedestrian fatalities (90.4%) had 9 or fewer pedestrian deaths. Nearly 9 percent of the cities had 10 to 99 pedestrian deaths. Only 0.8 percent of the cities have 100 or more pedestrian crash deaths. The city percentage distribution by the number of pedestrian fatalities is shown in Figure 2-1. Figure 2-1: Distribution of Cities by Number of Pedestrians Killed 10-99 Killed Over 99 8.8% 0.8% 2-9 Killed lop, 42.8% 47.6% Source: FARS 1997-2005 (Final), 2006(ARF) and US GLC ROADWAY FUNCTION CLASS Urban roads accounted for more than two-thirds (70.9%) of pedestrian crash deaths with nearly one-third of those on other principal arterial roads. Urban principal arterial roads (other than interstates and NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 15 expressways) accounted for over 25 percent of the pedestrians killed in motor vehicle crashes. Table 3 shows the percentage of pedestrian deaths by roadway function class and land use from 1997 to 2006. Table 3: Distribution of Pedestrian Fatalities by Roadway Function Class and Land Use Roadway Land Use Function Class Rural Urban Unknown Total Principal Arterial Interstate 3.7% 6.9% 0.0% 10.6% Principal Arterial Other Expressways or Freeways - 4.4% D.0% 4.4% Principal Arterial Other 5.9% 25.7% 0.0%1 31.6% Minor Arterial 4.8% 15.2% 0.0% 20.0% Collector 7.4% 4.2% 0.0% 11.6% Local Road or Street 6.2% 14.1% 0.0% 20.3% Unknown 0.5% 0.4% 0.6% 1.5% Total 28.5% 70.9% 0.6% 100.0% Source: FARS 1997-2005(Final),2006(ARF) Administration Region CITY Table 4 shows the top five ranked cities based on the past 10 years of pedestrian fatalities. The city ranking is based on the proportion of the number of pedestrian fatalities in the city to the number of pedestrian fatalities nationally. Not surprisingly, the top three most populated cities in the United States had the highest number of pedestrian fatalities. However, it is a surprise that the city of Phoenix is fourth for pedestrian fatalities even though average population is 32 percent less than the city of Houston, in fifth place, and almost the same as the city of Philadelphia, in seventh place, over the past 10 years. Table 4: Top Five Cities With the Highest Pedestrian Fatalities City Name Rank* % Number of Fatalities New York,NY 1 3.5 1,743 Los Angeles,CA 2 2.0 986 Chicago,IL 3 1.4 687 Phoenix,AZ 4 1.1 540 Houston,TX 5 1.0 514 Source:FARS 1997-2005(Final),2006 ARF *Rank based on fatality percentage Table A-7 in Appendix A shows all cities that have 10 pedestrian deaths or more by the city name and calendar year. STATE Table 5: Top Three States With the Highest or Lowest Pedestrian Fatalities State Name Rank* I % Number of Fatalities The hi hest California 1 1 14.4 7,056 Florida 2 10.4 5,125 Texas 3 8.7 4,269 The lowest North Dakota 51 0.1 48 Vermont 50 0.1 60 Wyoming 49 0.1 71 Source:FARS 1997-2005(Final),2006(ARF) Rank based on fatality ercenta e NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington.DC 20590 16 Table 5 shows the pedestrian crash deaths for the top three States and the bottom three States based on the number of pedestrian crash deaths. The State ranking is based on the proportion of the number of pedestrian fatalities in the State to the number of pedestrian fatalities nationally. The top three States are California, Florida, and Texas in pedestrian death ranking. The bottom three states are composed of North Dakota, Vermont, and Wyoming. The pedestrian fatalities for the other States are shown in Table A-6 in Appendix A. NHTSA Operation Region Analyzing the number of pedestrian crash deaths among the 10 NHTSA operation regions, the southeast region (region 4) has the highest number of pedestrian crash deaths. It accounts for about 19 percent of pedestrian crash deaths followed by the western region (region 9). Figure 2-2 shows the percentages of pedestrian fatalities among the 10 NHTSA operation regions. A U.S. map (Figure C-1) and a table (Table C-1) to illustrate the assembly of these 10 regions by State can be found in Appendix C. Figure 2-2: Distribution of Pedestrian Fatalities by NHTSA Operation Regions 18.9 % 17.9 13.5 14.2 12.3 9.6 3.2 3.8 3.5 3.1 New Eastern#2 Mid Atlantic Southeast Great Lakes South Central#7 Rocky Western#9 Pacific England#1 #3 #4 #5 Central#6 Mountain Northwest Region Name/No. #8 — #10 Source: FARS 1997-2005 (Final), 2006(ARF)and NHTSA Death Density AVERAGE DEATHS PER CAPITA In the same 10-year period, the pedestrian crash fatality rate was 1.73 per 100,000 population nationwide. The total crash fatalities per 100,000 population were 14.9 and the pedestrian crash rate per 100,000 population was 27.8. These differences are illustrated in Figure 2-3. As a comparison, there were 2,215 motor vehicle crashes per 100,000 population. Figure 2-3: Average Pedestrian Fatality, Total Fatality, and Pedestrian Crash per Capita 14.9 27.8 1.73 Pedestrian Fatalities per Total Crash Fatalities per Pedestrian Crash per 100K 100K Population 100K Population Population Source: Census Bureau, FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 Figure 2-4 shows the U.S. map and pedestrian fatality rates for each State over the past decade. The highest pedestrian fatality rate among the 50 States and the District of Columbia was for New Mexico (3.23)followed by Florida (3.14), Arizona (2.77), and the District of Columbia (2.71). The lowest pedestrian death rate was for New Hampshire (0.75) and North Dakota (0.75). The State population by year between 1997 and 2006 can be found in Table B-13 in Appendix B. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 17 Figure 24: Average Pedestrian Fatality Rate per 100,000 Population by State S WA NH 1.2 0.8 ME MT ND MN VT 1.0 OR 1.2 0.8 0.9 1.0 MA 1.5 1.2 ID WI NY 0.9 WY S� 1.0 MI 1.8 1.4 1.6 RI 1.0 NE IA ;A J CT 1.2 NV 0.8 0.8 0.8 OH 1.8 CA 2.7 UT IL 11 0.9 V DE 2.1 2.0 1.4 1.5 0 KS MO 1.4 KY 1.4 VA MD 1.9 0.9 1.5 1.4 1. NC DC AZ NM OK AR SC TN 1.5 2.0 2.7 2.8 3.2 1.5 1.5 AL GA 2.5 MS 1.7 19 AK 2.0 1.5 Q TX LA � 2.0 2.4 ° FL HI 3.1 �.• 2.2 D Source: Census Bureau and FARS, 1997-2005 (Final), 2006 (ARF) AVERAGE WALKING MILES PER DEATH According to the 2001 National Household Travel Survey(NHTS) conducted by the U.S. Department of Transportation, people in the United States traveled approximate 4,012 billion miles3 on a daily basis. NHTS defined a daily trip as a person going from one address to another in any day regardless of mode or distance traveled. The survey results show walking trips accounted for 8.6 percent of the total travel. That fraction makes the miles traveled by walking nearly 345 billion in 2001. The data are results from telephone interviews conducted with 60,000 individuals in 26,000 sampled households nationwide. Since NHTS is a sample-based survey, the results from the survey have sampling errors and hence care should be taken while interpreting the data. During 2001 there were 84,623 pedestrian crashes and 4,901 pedestrians killed in those crashes. Therefore, a pedestrian crash occurred every 4 million walking miles and a pedestrian crash death happened every 70 million walking miles. In 2001, motor vehicles in this country traveled 2,797 billion miles.4 There were 36,440 crash fatalities among vehicle occupants, including motor vehicle drivers, motorcycle riders, and passengers in 2001. This means that one occupant crash fatality occurs on the roadway every 77 million vehicle miles traveled (VMT). The comparison is shown in Figure 2-5. The average number of walking miles per pedestrian death is 8 percent lower than the average number of miles traveled per traffic crash death of a vehicle occupant. 3 See reference No.3 in Appendix D. 4 See reference No.9 in Appendix D. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 18 Figure 2-5: Miles per Pedestrian Fatality, Vehicle Occupant Fatality, and Pedestrian Crash 77 Unit: 1 million 70 4 Walking Miles per Travel Miles per Walking Miles per Pedestrian Fatality Occupant Fatality Pedestrian Crash Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 AVERAGE PER MILE TRAVELED In this subsection, the average deaths or crashes per miles traveled in 2001 are used as an indicator. The pedestrian death rate per walking miles traveled (WMT) per year is estimated by the number of annual pedestrian deaths divided by total annual WMT. The pedestrian crashes per WMT per year equal the number of annual police-reported pedestrian crashes divided by annual WMT. Moreover, the motor vehicle occupant fatality rate per vehicle miles traveled (VMT) per year equals the annual vehicle occupant deaths divided by annual VMT. The motor vehicle crash rate per VMT per year equals to annual police-reported motor vehicle crashes, excluding pedestrian crashes, divided by annual VMT. During 2001, the pedestrian death rate was 1.42 per 100 million WMT, with 1.30 motor vehicle occupant fatalities per 100 million VMT, 24.5 police-reported pedestrian crashes per 100 million WMT, and 223 motor vehicle crashes per 100 million VMT. In other words, the pedestrian death rate per WMT is slightly higher compared to motor vehicle occupant deaths per VMT. The motor vehicle crash per VMT is nine times higher than pedestrian crash per WMT. The fatality comparison is shown in Figure 2-6. Figure 2-6: Pedestrian Fatality Rate and Vehicle Occupant Fatality Rate per Mile Traveled 1.42 1.3 Fed Fatalities per 100 Million WMT Occupant Fatalities per 100 Million VMT Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 The comparison of crashes per mile traveled is shown in the figure below. Figure 2-7: Pedestrian Crashes and Motor Vehicle Crashes per Mile Traveled 223 24.5 Ped Crashes per 100 Million WMT Vehicle Crashes per 100 Million VMT Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 19 CRASH TIME The time of the crash is grouped in various ways to help explain pedestrian crash deaths. Calendar Unit DAYS OF YEAR Analyzing pedestrian deaths over the past 10 years across the country, January 1 is the day with the most pedestrian fatalities, followed by October 31. The peak pedestrian deaths on October 31 could be linked to Halloween. This finding is consistent with a reports published by NHTSA in 2005. In that report, the three deadliest days for pedestrians were January 1, October 31, and December 23. Although FARS data between 1986 and 2002 are used, the statistics on a status report published by the Insurance Institute for Highway Safety6 also shows January 1 and October 31 as the two days with most pedestrian crash deaths. The 10-year pedestrian crash deaths for each day of the year can be found in Table A-8 in Appendix A. Table 6: Deadliest Days for Pedestrians, Ranked by Specific Time Spans Year Period Rank* Day of Year Period Total Average per Day Note 1 1-Jan 410 24 1986-2002 2 31-Oct 401 24 Rank by Insurance Institute for Highway Safety 3 23-Dec 373 22 1 1-Jan 539 22 1978-2002 2 23-Dec 498 20 Rank by previous NHTSA analysis in 2005 3 31-Oct 489 20 1 1-Jan 236 24 1997-2006 2 31-Oct 1 212 21 Rank based on this analysis 3 1-Dec 1 205 1 21 Source:FARS 1997-2005(Final)2006(ARF)&Status Report Vol.39 No.6,2004 'Rank based on total deaths DAY OF WEEK Figure 3-1 shows that more than one-third of pedestrian crash deaths occurred on Fridays and Saturdays, with most pedestrian fatalities occurring on Saturdays (18%) compared to any other day of the week. Figure 3-1: Distribution of Pedestrian Fatalities by Day of the Week % 17.8 16.5 13.7 12.5 12.9 13.3 13.4 Sun Mon Tue Wed Thu Fri Sat Source: FARS 1997-2005 (Final), 2006 (ARF) Saturday and Sunday also have a higher probability of pedestrian crash fatality than any other weekday. The pedestrian death probabilities, based on all police-reported crashes and their comparisons, are illustrated on Figure 3-2, below. 5 See reference No.41 in Appendix D 6 See reference No.33 in Appendix D. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 20 Figure 3-2: Pedestrian Fatality Probability per Crash by Day of the Week 0.08 0.06 Sunday Saturday Other weekday Source: FARS 1997-2005 (Final), 2006 (ARF)and GES, 1997-2006 MONTH A review of FARS data shows that pedestrian crash deaths are more likely to occur in October, November, and December. These three months combined accounted for one-third (32%) of the pedestrian crash deaths in any year period. Figure 3-3: Distribution of Pedestrian Fatalities by Month 9.1 10.2 10 10.2 7.5 7.7 7 7 7 7.4 8.2 8.6 Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Source: FARS 1997-2005 (Final), 2006 (ARF) SEASON For this report, December, January, and February are considered the months of winter; March, April, and May are the months of spring; June, July, and August are the months of summer; and September, October, and November are the months of autumn. Nearly one in three pedestrian deaths occurred during autumn. Figure 3-4 shows the distribution pattern of pedestrian deaths by season. Figure 34: Distribution of Pedestrian Fatalities by Season Autumn(Sep Winter(Dec Oct Nov) Jan Feb) 29% 27% Summer(Jun Spring(Mar Jul Aug) Apr May) 22% 22% Source: FARS 1997-2005 (Final), 2006 (ARF) Clock Time TIME OF DAY Analysis of the data shows that 25 percent of pedestrian deaths occurred between 6 p.m. and 9 p.m., which is the time frame with the highest number of pedestrian deaths among any time group. The next highest number of fatalities occurred between 9 p.m. and midnight (21%). In total nearly half (46%) of pedestrian fatalities occurred between 6 p.m. and midnight. The lowest number of pedestrian fatalities (6%) occurred between 9 a.m. and noon. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 21 Figure 3-5: Distribution of Pedestrian Fatalities by Time of Day 24.7 % 20.9 M idnight to3 3 a.m to6am 6amto9am 9amtoNoon Noon to3p.m. 3p.m.to6p.m 6 pm.to9p.m. 9 pm,to a.m. M idnight Source: FARS 1997-2005 (Final), 2006 (ARF) The time period from 3 a.m. to 6 a.m. has lower pedestrian deaths (7.6%), yet that time period has the highest pedestrian probability of getting killed in a police-reported crash (0.2 per crash). Approximately 2 pedestrians die in every 10 pedestrian crashes. Figure 3-6: Pedestrian Fatality Probability per Crash by Time of Day 0.16 0.20 0.05 0.04 0.03 0.03 0.07 M idnight to3 3a.m.to6a.m. 6a.m to9a.m. 9 a m to Noon Noon to3p.m 3p.m.to6p.m. 6p.m.to9p.m. 9pm to a.m. M idnight Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 Death Time Interval AVERAGE DEATHS PER DAY From 1997 to 2006, the average number of people killed in motor vehicle crashes was 116 per day, as shown on Figure 3-7. The rate increases to 118 per day over the 5 years from 2002 to 2006. In the last 2 years, the average total crash fatalities per day stayed at 118. However, average pedestrian fatalities per day have remained the same at 13 for the same 10-year period. Figure 3-7:Average Pedestrian Fatalities, Total Crash Fatalities, and Pedestrian Crashes per Day 116 216 Number 13 Pedestrian Fatalities per Day Total Crash Fatalities per Day Pedestrian Crashes per Day Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 On average 216 police-reported pedestrian crashes occurred per day compared to 17,225 average motor vehicle crashes per day between 1997 and 2006 in the United States. AVERAGE MINUTES PER DEATH On average, a pedestrian was killed every 107 minutes in a motor vehicle traffic crash from 1997 to 2006. However, there is one police-reported pedestrian crash every 7 minutes. The average time between any two fatalities in a motor vehicle crash is 12 minutes and between two motor vehicle crashes is 5 seconds. These two numbers have not changed since 1997. This comparison is displayed in Figure 3-8. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 22 Figure 3-8: Average Minutes per Pedestrian Fatality, Total Fatality, and Pedestrian Crash 107 12 7 Minutes per Pedestrian Minutes per Total Crash Minutes per Pedestrian Fatality Fatality Crash Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 23 PEDESTRIAN INFORMATION Statistics to describe characteristics and actions of deceased pedestrians at the time of the crash are reported in this section. Pedestrian Characteristics SEX From 1997 to 2006, a total of 49,128 pedestrians died in motor vehicle crashes. Among them 33,907 (more than two-thirds) were males, 15,181 were females, and 40 were of unknown sex. Male pedestrian fa talities account for more than double the number of female pedestrian fatalities. Although males account for 49 percent of the population, males make up 69 percent of pedestrian crash deaths over the past decade. Figure 4-1: Distribution of Pedestrian Fatalities by Sex Female Pedestrian, Male 31% Pedestrian, 69% Source: FARS 1997-2005 (Final)2006 (ARF) The probability of a male pedestrian being killed in a police-reported pedestrian crash is 0.07 and a female is 0.05 as shown on Figure 4-2. Male pedestrians have a 40 percent higher probability than female pedestrians to be killed in a police-reported crash. Figure 4-2: Probability of a Pedestrian Killed per Crash by Sex 0.07 F_ 0.05 Male Female Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 RACE Figure 4-3: Distribution of Pedestrian Fatalities by Race 59.7 % 2.1 2.1 0.9 0.1 M White Black American Indian Asian Pacific Islander Other Indian Other Source: FARS 1999-2005 (Final) Among the pedestrians killed between 1999 and 2005, 60 percent were White, 15 percent were Black, 2 percent were Asian, 2 percent were American Indian, nearly 2 percent were members of other races, and 19 percent were of unknown race. As a comparison based on Census Bureau data, the population breakdown in the United States is 80 percent White, nearly 13 percent Black, about 4 percent Asian, and only one percent American Indian. The 2006 data for race are not used in the analysis since a large NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 24 proportion of the race data are unknown in the annual report file. This unknown proportion is reduced to a large extent in the final file with the availability of race data from death certificates. AGE GROUP Pedestrians over age 64 accounted for more than 21 percent of the pedestrians killed, and children under the age of 16 accounted for about 10 percent of the fatalities. The 70+ age group had the highest pedestrian fatalities among all individual age groups (17 percent), and the 40-to-44 and 45-to-49 age groups had the second highest pedestrian fatalities (9 percent). The percentages by age group of pedestrians killed are shown in Figure 4-4. Figure 4-4: Distribution of Pedestrian Fatalities by Age Group % 3 3 4 6 5 6 7 6 9 9 7 6 5 4 0-4 5-9 10-15 16-20 21-24 25-29 30-34 35-39 40 44 45-49 50-54 55-59 60-64 65-69 70+ Age Group Source: FARS 1997-2005 (Final), 2006 (ARF) Comparing the resident population to pedestrian fatalities, people 65 and older account for 13 percent of the U.S. population, yet their pedestrian deaths make up 21 percent of all pedestrian deaths from 1997 through 2006. This contrast between resident population and pedestrian fatalities for some combined age groups is shown in Figure 4-5. Figure 4-5: Distribution of Pedestrian Fatality and Population by Age Group Pop, 21% Ped Killed,23% Ped 1%d,94, Ped Killed,21% Pop, 14% pap,234/° Ped filled,9% 12% o Child(Under 15) Youth(15-24) Young Adult(25-40) Adult(41-64) Senior(Ov er 64) Source: FARS 1997-2005 (Final), 2006 (ARF)and Census Bureau Figure 4-6 hints that pedestrian fatality probability and age have a positive relationship. The pedestrian fatality probability increases with the increase in age group of pedestrians. The older the age group, the more likely a fatality in a police-reported crash. Among all age groups people 65 and older have the highest probability of being in a police-reported crash. Figure 4-6: Pedestrian Fatality Probability per Crash by Age Group 0 09 0.15 0.06 0.04 0.02 Child(Under 15) Youth(15-24) Young Adult(25-40) AduIt(41-64) Senior(Over 64) Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 25 HISPANIC ORIGIN Amon total pedestrians kill n 1 n 2 Hispanics (for n g p t killed between 999 and 005, spa cs ( o any race) accounted for 18 percent of the fatalities when Hispanic origin was known. Non-Hispanics accounted for 82 percent. By comparison, 14 percent of the U.S. population in the same time period was Hispanic, according to U.S. Census Bureau data. The 2006 data for ethnicity are not used in the analysis since a large proportion of the ethnicity data are unknown in the annual report file. This unknown proportion is reduced to a large extent in the final file with the availability of ethnicity data from the death certificates. The data of Hispanic or Latino population can be found in Table B-12 in Appendix B. Figure 4-7: Distribution of Pedestrian Fatalities by Hispanic Origin Non- Hispanic, 82% Hispanic, 18% Source: FARS 1999-2005 (Final) Pedestrian Actions ALCOHOL INVOLVEMENT Figure 4-8 shows the proportion of pedestrian fatality distribution by pedestrian blood alcohol concentration. BAC is used to represent the level of alcohol involvement. More than one-third of the pedestrians killed in crashes had a BAC of .08 grams per deciliter or more with a smaller proportion (4%) with BAC of .01 to 07 g/dL. This data indicates that nearly 4 out of 10 pedestrians killed had some level of alcohol involvement at the time of the crash. Figure 4-8: Distribution of Pedestrian Fatalities by BAC Level No Alcohol, 63% . . . . . . . . . . . . . . . . . . . . . . . . BAC.08+, 33% AC.01-.07, 4% Source: FARS 1997-2005 (Final), 2006 (ARF) The probability of a pedestrian being killed in a police-reported crash has a positive association with pedestrian alcohol involvement. As Figure 4-9 shows, when alcohol is involved the probability of the pedestrian being killed in a police-reported motor vehicle crash involving a pedestrian is four times higher than when no alcohol is involved. Figure 4-9: Pedestrian Fatality Probability per Crash by Alcohol Involvement 0.22 0.05 BAC.01+ No Alcohol Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 26 BEHAVIOR Figure 4-10 shows the percentage distribution by the types of pedestrian behavior or actions in the crash. About 27 percent of the pedestrian deaths were related to improper crossing of the roadway or intersection. Over one-fourth of the deaths were related to walking, playing, working, etc. About 14 percent of the pedestrian deaths were related to failure to yield right-of-way as a condition in the crash. Also, about 12 percent of the deaths were related to darting out or running into the road. Figure 4-10: Distribution of Pedestrian Action in Fatal Crashes 25.4 % 2.6 1.5 2.1 O Improper Walking Fail to Yield Darting or Not Visible Inattentive Fail to Obey Other Unknown Crossing against Right-of-Way Running into Traffic Traffic Road Contro I Source: FARS 1997-2005 (Final), 2006 (ARF) NHTSA's National Center for Statistics and Analysis. 1200 New Jersey Avenue SE.,Washington, DC 20590 27 DRIVER INFORMATION In order to understand the circumstances at the time of the crash, the characteristics and actions of vehicle drivers are equally relevant in pedestrian crashes. Numerous statistics are used to analyze drivers' characteristics and actions at the time of the crash. Driver Characteristics SEX Almost two-thirds of the time, a male driver was involved when a pedestrian was killed in a motor vehicle crash. Male drivers were more than twice as likely to be involved as female drivers. The number of drivers with unknown sex is 10 percent, most of which are associated with hit-and-run crashes in which the driver left the scene of the crash. Figure 5-1: Distribution of Vehicle Drivers by Sex in Fatal Pedestrian Crashes Unknown, Female 10% Male Driver, 65% Driver,25% Source: FARS 1997-2005 (Final), 2006 (ARF) AGE GROUP Among all age groups, 16-to 25-year-old drivers were the most involved. The 21-to-25 age group has the greatest involvement at 12 percent, while the 16-to-20 age group has the second highest involvement at 11 percent. Figure 5-2: Distribution of Vehicle Drivers by Age Group in Fatal Pedestrian Crashes t2.1 11.1 /o o v.2 9.7 92 s.s 7.5 5.9 4.5 13 0.2 3 2.1 �� 01� 4 11-15 16-20 21-25 26-30 31-35 36-40 41-45 46-50 51-55 56-60 61-65 66-70 71-75 76-80 81-85 Over Age Group 85 Source: FARS 1997-2005 (Final), 2006 (ARF) DRIVER SURVIVAL Figure 5-3 shows the percentage distribution of driver survival in crashes in which pedestrians were killed. As seen from the data, only 0.3 percent of the drivers were reported had been killed when involved in a crash in which there was a pedestrian fatality during the last 10 years. In other words, the most serious injuries happen to the pedestrians, not the vehicle drivers. Seven percent of drivers' survival status is unknown perhaps because of the hit-and-run crashes where the driver might have left the scene of the crash. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 28 Figure 5-3: Distribution of Vehicle Drivers by Driver Survival Status Survived,:::•.•.•. 92:7°/0 .:. : ::::::. Unknown, 7.0% Killed, 0.3% Source: FARS 1997-2005 (Final), 2006 (ARF) Driver Actions ALCOHOL INVOLVEMENT Figure 5-4 shows the percentage distribution of drivers involved by their BAC level in fatal pedestrian crashes. Overall, more than 80 percent of the drivers did not have alcohol when involved in a crash. Less than 20 percent of vehicle drivers had alcohol involvement when a pedestrian was killed. The proportion of alcohol involvement for drivers in fatal pedestrian crashes is less half when compared to the alcohol involvement of pedestrians in the crashes. Figure 5-4: Distribution of Vehicle Drivers Involved by BAC Level No Alcohol, (BAC01-.07, BAC .08+, 13% % Source: FARS 1997-2005 (Final), 2006 (ARF) SPEEDING Less than 10 percent of the vehicle drivers involved when pedestrians were killed had speeding as a contributing factor documented in the crash. Figure 5-5 shows the percentage distribution by driver speeding status when pedestrians were killed in crashes over the past 10 years. Figure 5-5: Distribution of Vehicle Drivers by Speeding Status Unknown, Speeding, Not 1% 8% Speeding, 91% Source: FARS 1997-2005 (Final), 2006 (ARF) Figure 5-6 shows that 1 pedestrian died per 100 police-reported crashes when the driver was recorded to be speeding compared to 55 per 100 police-reported crashes when the driver was not speeding. The probability of a pedestrian killed when drivers were not speeding is much higher than when the NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 29 driver was speeding, which is attributable to a large number of fatalities divided by small number of crashes under no speeding condition. Figure 5-6: Pedestrian Fatality Probability per Crash by Driver Speeding Status 0.55 0.01 Speeding Not Speeding Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 DRIVER ACTIONS AT THE TIME OF THE CRASH Figure 5-7 shows the number of drivers involved categorized by police-reported driver-related factors. The data shows that drivers in the crashes did have some form of driver-related factors mentioned in the police accident report. Factors relating to the drivers were: being inattentive (7%), failure to keep in proper lane (5%), failure to yield right-of-way (9%), driving too fast for conditions (10%), operating vehicle in reckless manner (4%), and hit-and-run (20%). This data indicate the risks pedestrians encounter on roadways due to driver behavior. Figure 5-7: Driver Distribution by Behavior in Fatal Pedestrian Crashes i 19.8 99 93 9� �7.3 —I I�l IF— 4.6� 4.1 3.6 0 Q 2.6 3.1 . . , Hit-and-Run Driving over Failed to Yield Drugs Inattentive Fail to keep Other Non- Operating Non-Traffic Others Unknown Vehicle Posted Limit Right-of-Way in Proper Moving Vehicle in Violation Driver Lane Traffic Reckless Charged Violation Manner Source: FARS 1997-2005 (Final), 2006 (ARF) NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 30 OTHER CRASH FACTORS Five additional crash factors are included for more pedestrian crash death information. The statistics are discussed as below. ATMOSPHERIC CONDITION Weather is an important environmental factor in motor vehicle crashes; however 89 percent of pedestrian deaths occurred when there were no adverse weather conditions. Eight percent of pedestrians died in crashes that occurred in the rain. Figure 6-1: Distribution of Pedestrian Fatalities by Atmospheric Condition 88.6 8.1 0 0.2 0.9 1.0 0.5 0.7 No Adverse Rain Sleet Snow Fog Other Unknown Condition Atmospheric Condition Source: FARS 1997-2005 (Final), 2006 (ARF) When the data were further analyzed based on the probability of a pedestrian fatality per police-reported crash, more pedestrian deaths per pedestrian crashes occurred when the atmospheric condition was noted as sleet or fog — 19 pedestrian fatalities per 100 police-reported pedestrian crashes. Snow was the condition with the lowest pedestrian death rate per pedestrian crash. Figure 6-2: Pedestrian Fatality Probability per Pedestrian Crash by Atmospheric Condition 0.19 0.18 0.16 0.06 0.05 0.04 No Adverse Rain Sleet Snow Fog Other Condition Atmospheric Condition Data Source: FARS and GES, 1997-2006 ALCOHOL INVOLVEMENT (Pedestrian or Driver) Alcohol involvement— either for the driver or for the pedestrian —was reported in 46 percent of the traffic crashes that resulted in pedestrian fatalities. Of the pedestrians involved, 33 percent were alcohol- impaired with a BAC of .08 g/dL or greater. The alcohol-impaired rate for the drivers involved was about 13 percent, less than one-half of the rate for the pedestrians. In almost 6 percent of the crashes, both the driver and the pedestrian were alcohol-impaired. These numbers indicate higher alcohol involvement among pedestrians than among drivers during fatal pedestrian crashes. Table 7 shows joint distribution by pedestrian BAC and driver BAC from 1997 to 2006. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 31 Table 7: Distribution of Pedestrian BAC and Driver BAC in Fatal Pedestrian Crashes Alcohol Involvement Driver BAC No Alcohol .01-.07 .08+ Total No Alcohol 54.2% 1.9% 6.5% 62.6% Pedestrian BAC .01-.07 3.5% 0.0% 0.9% 4.4% .08+ 26.0% 1.5% 5.5% 33.0% Total 83.7% 3.4% 12.9% 100.0% Source:FARS 1997-2005 Final 2006 ARF LIGHT CONDITION Roadway lighting is another important environmental factor. More than two-thirds of pedestrian fatalities occurred when the light condition was either dark or dark but lighted. Similarities between the time of day and the light condition can be found when compared with Figure 3-5. About one-third of pedestrian crash deaths occurred during daylight. Figure 6-3: Distribution of Pedestrian Fatalities by Light Condition 30.3 32.3 33 1.7 21 Daylight Dark Dark but Lighted Dawn Dusk Light Condition Source: FARS 1997-2005 (Final), 2006 (ARF) Further data analysis indicates that the worst light condition, dark, has the highest pedestrian fatality rate per police-reported pedestrian crash, and the best light condition, daylight, has the lowest pedestrian fatality rate per police-reported pedestrian crash. Figure 6-4: Pedestrian Fatality Probability per Crash by Light Condition 0.08 0.10 0,03 0.04 Daylight Dark Dark but Lighted Dawn - Dusk Light Condition Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 POSTED SPEED LIMIT The posted speed limit is also an important factor in pedestrian crashes. Figure 6-5 shows the distribution of pedestrian crashes by posted speed limit. The largest proportion (32%) of pedestrian fatalities occurred on roads with posted speed limits of 50 miles per hour or higher compared to all other posted speed limits, followed by roads with posted speed limits of 30 to 39 miles per hour(29%). NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 32 Figure 6-5: Distribution of Pedestrian Fatalities by Posted Speed Limit % 29.1 31.8 24.5 0.3 No Limit Post Under 30 30-39 40-49 Over 49 Posted Speed Limit Source: FARS 1997-2005 (Final), 2006 (ARF) As indicated in Figure 6-6, further analysis reveals that roadways with posted speed limits of 50 miles per hour or higher have the highest rate of pedestrian fatalities per police-reported pedestrian crash, with a probability of 32 pedestrian fatalities per 100 crashes. Figure 6-6: Pedestrian Fatality Probability per Crash by Posted Speed Limit 0.15 0.32 0.02 0.02 0.06 0 O No Limit Post Under 30 30-39 40-49 Over 49 Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 HIT-AND-RUN Figure 6-7 shows the proportion of pedestrian deaths by hit-and-run in the 10-year survey period. A hit- and-run crash is defined as a crash where the driver of a contact vehicle in the crash does not stop to render aid (this includes drivers who flee the scene on foot). While the majority of pedestrian crash deaths occurred in crashes where no hit-and-run was involved, about one in five (18%) of all pedestrian deaths were the result of hit-and-run crashes. Figure 6-7: Distribution of Pedestrian Fatalities by Hit-and-Run No ' f?unl*82°�: : : . . : : : : : : : Hit-and-Run, 18% Source: FARS 1997-2005 (Final), 2006 (ARF) NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 33 FINDINGS Walking, running, or jogging is a primary means of human locomotion. In many circumstances, people need to move their bodies from one place to another on foot. Despite advances in modem transportation, travel by foot is still a common and necessary mode of transport. Pedestrian safety is an essential concern in the planning and control of the transportation system. Analyses, calculations, and comparisons for pedestrian crash fatalities, which were done in previous sections, generated many important findings. These findings could be used in the design of safety systems and countermeasure programs to decrease pedestrian crash fatalities. The findings are provided in this section. Trend • Pedestrian crash fatalities make up a small component of total crash fatalities. Its proportion has declined from 13 percent to 11 percent over 10 years. • Both the number of pedestrian crash fatalities and the total number of pedestrian crashes are dropping, yet the decrease in pedestrian crash fatalities is slower than the decrease in pedestrian crashes. • Although pedestrian fatalities are declining in the long term, the rate of decline is slow; only 1 percent per year on average. • The probability of fatality in pedestrian crashes (number of pedestrian deaths per pedestrian crash) is going up, while the overall pedestrian crash probability (number of pedestrian crashes per motor vehicle crash) is going down. This is one of the more significant findings in this report. Improving vehicle design and other factors in pedestrian crashes may help alleviate this problem. • The number of pedestrian crash fatalities per vehicle miles traveled is decreasing. In other words, the increase in VMT has outpaced the increase in pedestrian fatalities. • Pedestrians are most often killed by a single vehicle. More than 90 percent of pedestrians are killed in single-vehicle crashes, and less than 10 percent of pedestrians are killed in multiple- vehicle crashes. This ratio has not changed over the past decade. Location • Most pedestrians were killed at nonintersections or on urban roadways. A research report published in 19817 had the same finding. The result from the analysis reconfirmed that urban roadways and nonintersection areas are important to pedestrian safety. • More than two-thirds of pedestrian crash fatalities took place in cities. Only 13 percent of the cities in this country accounted for more than two-thirds of total pedestrian deaths between 1997 and 2006. U.S. pedestrian deaths were distributed evenly among cities. In a 10-year period, cities with less than 10 pedestrian deaths made up 91 percent of total cities with pedestrian deaths. Less than 1 percent of U.S. cities had more than 99 pedestrian deaths. • Consolidating the number of pedestrian fatalities into NHTSA operation regions may reveal a pattern of pedestrian fatality distribution from a different point of view. In the United States, NHTSA Regions 4(southeast)and 9(western) had more pedestrian deaths than other regions. • In terms of number of pedestrians killed, the three most deadly States were California, Florida, and Texas; the five deadliest cities in the Nation were New York, Los Angeles, Chicago, Phoenix, and Houston. These rankings are based on pedestrian death percentages. States and cities with the highest number of pedestrian deaths may need to focus messages and outreach efforts on pedestrian safety. 7 See reference No.1 in Appendix D. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 34 • Measuring death density further illustrates the pedestrian safety problem. On average over the past decade, 1.73 pedestrians died in vehicle crashes per 100,000 population nationwide. By comparison, 14.9 people died in all crashes per 100,000 population. • Among the 50 States and the District of Columbia, New Mexico had the highest pedestrian death rate per capita followed by Florida. New Hampshire had the lowest pedestrian death rate per capita. • The average number of miles walked per pedestrian death is a valid indicator in gauging pedestrian safety. In the United States, 1 pedestrian crash fatality occurred for every 70 million miles walked. This number is much greater than 4 million which was the number of miles walked per pedestrian crash, but less than 77 million which was the number of vehicle miles traveled per motor vehicle occupant fatality. Based solely on miles of travel in a crash, pedestrian fatalities occurred more frequently than occupants crash fatalities. • For every 100 million walking miles traveled (WMT), the pedestrian fatality rate was 1.42 and the pedestrian crash rate was 24.5. By comparison, for every 100 million vehicle miles traveled (VMT),the motor vehicle occupant fatality rate was 1.3 and the motor vehicle crash rate was 223. • The pedestrian fatality rate per capita was significantly lower than total crash fatalities per capita, yet the pedestrian fatality rate per WMT was slightly higher than motor vehicle occupant fatality rate per VMT. Time • For pedestrians, the deadliest day of the year is January 1St followed by October 31". The most deadly day of the week is Saturday followed by Friday. The months with the highest number of pedestrian fatalities are October, November, and December. These findings are consistent with previous reports.8 • Saturday and Sunday also have a higher probability of fatality in a crash than any other day of the week. • Autumn is the deadliest season for pedestrians, with two of the highest fatality months being October and November. • The highest percentage of pedestrian fatalities occurs from 6 p.m. to 9 p.m., followed by 9 p.m. to midnight. The percentage of pedestrian fatalities between 3 a.m. and 6 a.m. is low, but the crash fatality probability is the highest during that time period. • The number of deaths during a time period is a base for assessing risk control. Between 1997 and 2006, an average of 13 pedestrians died per day in vehicle crashes. By comparison, there were approximately 216 total pedestrian crashes per day and 116 deaths per day in all motor vehicle crashes. • In the United States, a pedestrian was killed in a vehicle crash every 107 minutes. However, pedestrian crashes and vehicle crash fatalities occurred every 7 minutes and 12 minutes, respectively. Pedestrian Factors • More than two-thirds of pedestrians killed are male, yet males make up less than half of the total population. • Sixty percent of pedestrians killed are White, while 80 percent of the total U.S. population is White. • People 65 and older are over-represented in pedestrian fatalities. They were 21 percent of all pedestrian fatalities yet are only 13 percent of population. 8 See reference No.7,33,and 41 in Appendix D. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 35 • Almost one-fifth of pedestrian fatalities are of Hispanic origin. • More than a third of pedestrians killed had alcohol involvement. • The majority of pedestrians killed performed at least one unsafe action when crashes occurred. Pedestrian actions at the time of the crash indicate the risks pedestrians are taking while crossing roadways. More attention toward pedestrian safety education may be required. • Regarding pedestrian fatality probability in a crash, males are much more likely than females to be killed. As pedestrians, people 65 and older have a much higher fatality probability than children (under age 15), youth (15 to 24), and young adults (25 to 40). Safety education, engineering countermeasures, and law enforcement efforts should be undertaken to reduce the pedestrian safety problem among males and senior citizens. • As expected, the higher the pedestrian BAC, the higher the fatality probability. Vehicle Driver • Analysis of the types of drivers involved in fatal pedestrian crashes shows that male drivers were more likely than female drivers to be involved in pedestrian crashes. Regarding driver age, 21-to 25-year-olds were more likely than other age groups to be involved. • Almost all drivers survived the pedestrian crashes, most vehicle drivers did not have alcohol, and the majority of drivers were not speeding. • Most drivers committed some type of unsafe action on at least one occasion. Driver actions at the time of the crash indicate the risks pedestrians encounter on roadways. This indicates that more attention may need to be paid to law enforcement and driver training. • More pedestrians were killed in crashes where speeding was not a factor than in crashes where it was. This finding means that a pedestrian is still likely to die in a crash even if the driver is obeying the posted speed limit. Other Factors • Most pedestrian crash fatalities occurred when the weather was good, the road light condition was poor, alcohol was not involved, and hit-and-run was not involved. That is, every pedestrian crash fatality was more likely to meet each one of these criteria individually, and we do not wish to give the impression that the majority of all pedestrian crash fatalities occurred under all of those conditions at once. More attention and effort on road lighting and pedestrian visibility may be required. • Based on weather conditions at the time of a crash, the highest probability of pedestrian fatality existed under a sleet condition. • Based on light conditions, pedestrian fatality probability was highest in the dark. • Roadways with posted speed limits over 49 miles per hour had the highest pedestrian fatality rate per pedestrian crash. • Forty-six percent of pedestrian fatalities were involved some alcohol, either by the driver or by the pedestrian. • One in five pedestrians(18%)was killed in hit-and-run motor vehicle crashes. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 36 APPENDIX A FARS Data 1997-2005 (Final), 2006 (ARF) Table A-1: Pedestrian crash deaths by crash type and year Crash Type 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Single-Vehicle 4,876 4,801 4,516 4,340 4,480 4 445 4 310 4,237 4"5 4,327 Mufti le-Vehicle 445 427 423 423 421 406 464 438 447 457 Total 5,321 5,228 4,939 4,763 4,901 4,851 4,774 4,675 4,892 4,784 Note:Data in this table has been used to create all figures in Pedestrian Fatality Trend. Table A-2: Pedestrian crash deaths by estrian location and ear Pedestrian Location 1997 1998 1999 2000 20011 2002 2003 2004 2005 2006 Unknown Location 36 20 23 21 36 31 28 39 33 72 Intersection Crosswalk 360 369 385 386 397 396 424 392 388 404 Intersection Roadway,Crosswalk Available 211 224 176 192 207 256 219 226 296 196 Intersection Roadway,Crosswalk Not Available 160 194 153 152 131 124 116 125 138 139 Intersection Roadway,Crosswalk Unknown 332 291 249 274 234 219 178 141 122 207 Not on Roadway 42 43 38 36 301 40 39 30 26 48 Unknown-Intersection 20 24 13 17 18 27 36 43 24 14 Non-intersection Crosswalk 36 42 36 45 42 35 46 44 63 47 Non-intersection Roadway,Crosswalk Available 514 573 525 565 648 7281 885 1,088 1,373 1,255 Non-intersection Roadway,Crosswalk Not Available 2,252 2,239 2,125 1,935 2,036 1,8561 1,703 1,677 1,636 1,629 Non4ntersection Roadway,Crosswalk Unknown 827 765 722 660 646 673 639 439 312 333 In Parking Lane 5 11 9 10 7 7 12 13 17 3 On Road Shoulder 320 221 285 216 237 233 227 219 252 246 Bike Path 0 2 1 0 0 2 0 0 0 2 Outside Traffic Way 361 44 44 1 51 42 40 50 41 58 58 Other 1 1411 1471 1361 180 171 1691 151 141 131 116 Unknown Non-intersection 29 19 19 23 19 15 21 17 23 15 Note:Data in this table has been used to create Table 2 in Crash Location. Table A-3: Pedestrian crash deaths by roadwa function class and year Roadway Function Class 19971 1998 1999 2000 2001 2002 2003 20041 2005 2006 Rural Land 1,611 1,611 1,520 1,376 1,453 1,418 1,283 1,274 1 1,245 1,220 Urban Land 3,699 3,584 3,399 3,298 3,436 3,421 3,479 3,393 3,618 3,435 Unknown 11 33 20 89 12 12 12 8 29 129 Rural Principal Arterial Interstate 209 180 161 183 195 208 176 171 170 150 Principal Arterial Other 334 359 320 255 2961 2901 256 277 258 266 Rural Minor Arterial 279 240 242 196 240 231 238 284 201 214 Major Collector 311 329 304 279 313 280 270 238 248 247 Minor Collector 84 103 93 82 81 101 78 68 74 64 Rural Local Road or Street 355 3731 362 328 306 299 258 2201 279 264 Rural Unknown 39 27 38 53 23 9 7 16 15 15 Urban Principal Arterial Interstate 362 330 326 327 3421 3351 275 354 397 324 Principal Arterial Other Expressways or Freeways 228 185 199 199 226 190 228 218 233 238 Other Principal Arterial 1,359 1,368 1,237 1,238 1,272 1,192 1,251 1,172 1,254 1,268 Urban Minor Arterial 7741 7851 716 658 710 739 778 7221 804 760 Collector 222 204 178 179 162 179 214 242 239 231 Urban Local Road or Street 739 697 720 658 705 778 712 639 677 606 Urban Unknown 15 15 23 39 191 8 F 21 46 14 8 Unknown Roadway Type 11 33 20 891 121 12 12 8 29 129 Note:Data in this table has been used to create Table 3 in Crash Location. NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 37 Table A-4: Pedestrian crash deaths by urban area and year Urban Area 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Not City 1 797 11733 1 631 1,543 1,633 1,626 1,579 1,538 1,606 1,504 city 3,520 3,491 3,305 3,219 3,264 3,217 3,189 3,128 3,279 3,269 Unknown 4 4 3 1 4 8 6 9 7 11 Note:Data in this table has been used to create Figure 2-1 in Crash Location. Table A-5: Pedestrian crash deaths b NHTSA operation region and year Operation Region 11"71 1998 1999 2000 2001 2002 2003 2004 2005 2006 New England Region#1 181 175 159 165 148 142 173 147 141 128 Eastern Region#2 702 683 715 650 676 667 641 619 634 643 Mid Atlantic Region#3 495 530 462 460 460 475 473 442 458 465 Southeast Reqion#4 1006 970 922 872 897 879 894 896 962 988 Great Lakes Region#5 680 681 643 597 590 606 623 551 548 536 South Central Region#6 770 737 705 672 729 690 622 700 723 646 Central Region#7 220 230 170 190 179 174 174 167 181 164 Rocky Mountain Region#8 174 177 197 186 162 160 173 172 161 157 Western Region#9 926 8751 829 829 901 896 8481 8441 935 915 Pacific Northwest Region#10 1167 1701 1371 1421 1591 1621 1531 1371 149 142 Note:Data in this table has been used to create Figure 2-2 in Crash Location. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 38 Table A-6: Pedestrian crash deaths by State and year State Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Alabama 85 79 86 62 68 61 62 81 73 78 Alaska 10 7 8 10 7 16 9 10 7 9 Arizona 148 155 143 130 160 154 121 130 158 167 Arkansas 49 47 41 38 41 33 41 32 37 31 California 757 697 665 670 711 709 704 684 742 717 Colorado 56 73 63 80 61 69 56 70 48 59 Connecticut 53 45 51 48 33 50 35 27 34 36 Delaware 14 15 12 22 17 16 19 16 11 27 Dist of Columbia 24 15 16 18 11 7 18 9 16 17 Florida 528 531 488 492 489 487 500 493 571 546 Georgia 183 1671 159 137 156 161 1561 153 150 148 Hawaii 21 23 21 29 30 33 23 30 35 31 Idaho 19 7 14 6 12 15 13 17 9 8 Illinois 198 187 175 187 185 191 189 156 165 138 Indiana 72 71 68 54 56 53 62 73 63 73 Iowa 27 25 17 25 19 19 18 24 24 25 Kansas 27 351 33 19 24 23 251 21 24 23 Kentucky 64 61 52 53 53 55 61 48 54 52 Louisiana 138 113 107 100 99 103 93 103 113 96 Maine 19 13 11 15 12 14 13 10 9 10 Maryland 107 105 114 91 101 1 105 114 97 102 94 Massachusetts 79 84 74 82 79 59 86 81 76 61 Michigan 165 171 173 170 162 175 1661 137 137 136 Minnesota 56 551 51 38 43 50 53 37 44 38 Mississippi 54 59 60 64 59 55 40 44 72 56 Missouri 100 102 65 88 83 87 78 81 88 76 Montana 9 13 7 11 91 14 10 7 13 12 Nebraska 17 21 14 20 12 12 12 9 8 9 Nevada 59 46 67 43 45 52 651 60 63 52 New Hampshire 11 Ill 5 7 9 6 19 15 5 6 New Jersey 144 154 154 145 132 177 137 152 153 165 New Mexico 66 58 52 48 72 60 51 56 61 69 New York 389 363 378 335 356 337 334 317 322 312 North Carolina 176 197 155 159 149 176 153 161 164 173 North Dakota 5 4 4 5 3 2 7 5 9 4 Ohio 126 134 122 97 99 87 99 941 95 96 Oklahoma 69 46 60 43 49 54 37 50 50 46 Oregon 57 66 48 50 581 48 46 43 48 47 Pennsylvania 169 166 183 170 188 153 170 150 159 166 Rhode Island 7 11 14 6 10 9 13 7 14 15 South Carolina 103 111 1 113 82 107 98 801 86 98 125 South Dakota 6 7 11 13 15 8 10 9 14 7 Tennessee 107 82 76 99 77 72 96 83 70 91 Texas 443 461 426 417 4501 418 401 447 427 379 Utah 39 43 38 33 33 25 28 25 201 29 Vermont 12 11 4 7 5 4 7 7 3 0 Virginia 89 102 84 92 101 88 86 85 88 82 Washington 72 77 60 65 73 69 75 60 72 66 West Virginia 21 35 29 25 28 28 22 26 23 20 Wisconsin 63 63 54 51 1 451 50 54 54 1 44 55 Wyoming 9 4 14 121 51 4 7 31 7 6 Note:Data in this table has been used to create Table 4 in Crash Location. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 39 Table A-7: Pedestrian crash deaths by c' and year City Name 1997 1 1998 1999 2000 2001 2002 2003 2004 2005 2006 New York,NY 233 177 183 178 186 163 164 148 154 157 Los Angeles,CA 125 85 96 96 116 87 103 83 96 99 Chicago,IL 86 85 63 73 67 73 72 54 66 48 Phoenix,AZ 59 49 51 54 62 59 53 42 52 59 Houston,TX 481 61 47 51 59 54 53 44 52 45 Detroit,MI 38 49 50 45 37 53 41 37 37 28 Dallas,TX 38 46 43 36 44 38 28 57 46 30 Philadelphia,PA 35 27 34 39 32 24 32 39 30 36 San Diego,CA 28 32 38 36 19 37 30 32 18 22 San Antonio,TX 31 32 25 31 23 24 24 26 37 28 San Francisco,CA 29 33 26 30 20 21 27 19 16 19 Jacksonville,FL 20 28 18 20 21 20 13 28 34 23 Miami,FL 22 21 18 27 14 26 18 17 22 27 Denver,CO 22 17 18 35 23 25 17 20 16 14 Memphis,TN 31 20 191 16 18 20 21 19 18 16 Hempstead,NY 14 20 22 18 19 14 17 19 20 10 San Jose,CA 21 17 15 19 15 22 10 16 14 22 Atlanta,GA 23 26 23 15 18 18 20 16 6 6 Albuquerque,NM 181 12 10 16 23 14 15 13 21 18 Washington,DC 24 151 16 18 11 7 18 9 16 17 Tucson,AZ 11 151 15 15 22 16 7 15 19 14 Fort Worth,TX 14 131 11 15 14 21 12 15 19 14 Tampa,FL 14 161 19 20 11 16 11 14 8 13 Austin,TX 14 13 17 12 16 11 7 13 17 15 Baltimore,MD 16 28 19 1 1 0 121 15 141 12 16 Las Vegas,NV 13 6 14 9 16 14 15 13 18 11 El Paso,TX 20 17 15 13 12 9 19 8 12 4 Nashville,TN 121 16 8 14 15 8 14 12 10 18 Louisville,KY 7 11 11 18 8 10 15 13 12 17 Kansas City,MO 12 14 9 9 14 19 12 12 9 9 Fresno,CA 13 14 10 61 9 191 17 61 13 10 St Louis,MO 10 11 11 17 12 9 14 121 11 8 Charlotte,NC 10 13 11 15 9 13 9 9 10 15 Oklahoma City,OK 17 11 6 10 17 11 5 16 13 8 New Orleans,LA 20 8 12 12 11 16 7 15 11 0 Sacramento,CA 15 5 13 5 12 14 14 10 14 9 Oakland,CA 10 12 10 71 13 161 10 8 10 14 Newark,NJ 12 15 15 13 9 10 9 11 6 10 Fort Lauderdale,FL 17 11 16 8 8 6 7 12 9 15 Columbus,OH 13 8 14 8 14 8 13 8 13 9 Portland,OR 9 13 15 10 10 10 15 9 8 8 Milwaukee,WI 13 11 5 10 8 11 7 16 12 14 Honolulu,HI 12 5 5 121 10 131 7 121 15 12 Boston,MA 6 12 8 17 13 11 14 7 7 7 Brookhaven,NY 11 13 6 10 6 8 10 11 12 8 Orlando,FL 8 9 11 6 9 11 10 6 9 13 Tulsa,OK 10 8 13 7 7 7 9 10 11 8 Indianapolis,IN 7 6 11 9 Ili 6 7 11 71 10 Seattle,WA 8 5 7 51 121 81 121 13 71 8 Long Beach,CA 8 9 6 7 101 91 7 10 71 7 Corpus Christi,TX 9 12 7 71 5 61 71 12 81 3 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 40 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Santa Ana,CA 11 5 7 7 2 8 15 5 8 7 Baton Rouge,LA 3 6 6 9 14 11 4 9 7 5 San Bernardino,CA 4 4 9 6 8 11 6 5 12 8 St Petersbu ,FL 11 7 10 6 9 4 6 7 5 7 Birmingham,AL 11 8 6 5 8 7 4 10 4 6 Bakersfield,CA 9 8 2 3 5 2 7 7 8 12 Hialeah,FL 4 11 8 5 5 4 6 8 6 5 Islip,NY 5 5 11 5 3 5 9 10 6 2 Cleveland,OH 8 7 8 5 7 1 5 2 10 8 Anaheim,CA 5 21 5 61 5 71 7 61 8 9 Reno,NV 5 6 8 5 4 6 9 5 5 6 Stockton,CA 5 4 4 6 5 10 5 5 8 6 Minneapolis,MN 10 11 6 2 6 6 4 6 6 1 Oyster Bay,NY 7 5 10 3 2 11 2 4 10 4 Raleigh,NC 5 7 5 4 6 7 4 6 5 8 Salt Lake City,UT 8 71 5 91 5 21 0 41 6 10 Mobile,AL 3 4 3 5 3 7 9 8 3 10 Pittsburgh,PA 6 5 4 5 6 3 9 8 4 5 Aurora,CO 3 7 5 4 6 4 4 7 8 6 Mesa,AZ 5 5 1 3 7 2 3 5 13 9 Greensboro,NC 5 4 4 6 7 4 3 6 8 6 Cincinnati,OH 6 5 4 71 4 1 1 6 8 7 5 Toledo,OH 9 5 8 4 5 2 4 4 51 7 Hollywood,FL 5 10 6 1 5 6 6 4 4 3 Anchorage,AK 5 6 4 4 5 8 4 6 4 3 Clearwater,FL 8 2 7 7 1 7 3 5 5 4 Jackson MS 21 8 3 6 4 6 41 3 13 0 Charleston,SC 4 3 6 41 1 6 2 10 8 5 Riverside,CA 5 6 8 4 3 3 3 5 5 6 Worcester,MA 6 6 2 7 5 6 4 6 2 4 Jersey City,NJ 7 3 5 6 4 6 6 3 4 2 Durham,NC 4 3 5 6 5 4 3 8 3 5 Beaumont,TX 3 7 1 5 2 5 3 2 9 9 Huntsville,AL 7 0 4 41 7 5 3 41 4 7 Montgomery,AL 4 8 3 2 5 3 2 7 7 3 Glendale,AZ 2 5 5 3 5 6 5 2 4 7 Rochester,NY 4 81 7 2 4 51 4 3 4 3 Fayetteville,NC 6 3 3 6 6 4 3 3 7 3 Ontario,CA 3 5 1 3 5 3 6 8 3 5 Lexington,KY 6 7 3 2 3 6 3 31 6 3 Omaha,NE 3 5 4 6 7 2 6 4 3 2 Daytona Beach,FL 3 6 2 6 5 3 3 5 3 5 Ft Myers,FL 4 1 7 6 2 1 1 7 1 5 7 Wichita,KS 7 8 3 1 6 3 1 3 3 6 Winston Salem,NC 4 3 61 6 3 7 3 3 3 3 Arlington,TX 3 5 2 6 6 2 4 21 4 7 Virginia Beach,VA 2 5 5 0 6 3 4 5 7 4 Tacoma,WA 7 3 4 6 4 2 7 0 5 3 Amarillo,TX 3 4 2 5 4 41 3 3 7 5 Huntington Beach,CA 1 3 5 3 7 5 4 2 5 4 Oceanside,CA 1 4 2 2 3 3 2 3 5 7 8 Columbus,GA 1 4 9 1 3 5 2 31 21 51 5 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 41 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 St Paul,MN 7 3 5 5 4 1 3 2 6 3 Buffalo,NY 5 4 5 5 5 3 2 3 5 2 Pomona,CA 2 3 3 8 7 2 2 5 4 2 Augusta,GA 5 3 5 1 5 5 3 2 2 6 Modesto,CA 2 2 4 3 4 31 2 4 8 4 Colorado Springs,CO 5 4 3 6 1 5 3 4 4 1 Columbia,SC 3 8 10 0 1 1 1 4 6 2 Norfolk,VA 3 4 5 4 4 2 5 2 3 4 Tempe,AZ 3 4 1 5 3 3 6 1 5 4 Springfield,MA 2 01 2 61 2 5 8 31 6 1 Elizabeth,NJ 2 1 0 2 6 71 1 10 2 4 Paterson,NJ 4 5 5 0 4 31 3 5 3 3 Garden Grove,CA 5 3 5 3 5 3 3 2 3 2 Rialto CA 2 3 4 2 3 2 6 7 3 2 Santa Monica,CA 2 4 2 4 4 4 10 1 2 1 Savannah,GA 4 41 1 41 7 4 1 21 1 6 Shreveport,LA 4 3 5 2 2 3 6 2 5 2 Babylon,NY 4 3 3 6 5 1 2 4 2 4 Dayton,OH 1 9 4 4 1 2 5 1 4 3 Chattanooga,TN 7 2 2 6 1 3 3 3 5 2 Chula Vista,CA 1 5 6 4 3 3 2 2 4 3 Macon,GA 2 5 2 51 2 2 6 31 1 5 Laredo,TX 2 5 1 2 4 3 6 2 5 3 Richmond,VA 7 3 3 5 3 2 5 3 2 0 Little Rock,AR 2 3 4 6 3 2 3 4 3 2 Knoxville,TN 31 1 4 2 6 2 6 2 0 6 El Cajon,CA 2 3 1 3 6 6 4 1 3 2 Hartford,CT 7 1 4 51 2 51 1 31 2 1 West Palm Beach,FL 2 1 5 3 8 0 3 2 2 5 Woodbridge,NJ 3 0 6 3 2 4 2 4 1 6 Pompano Beach,FL 0 7 3 1 3 4 4 1 3 4 Marietta,GA 41 4 4 1 4 3 3 4 2 1 Lafayette,LA 5 4 0 3 3 2 3 4 2 4 Vista,CA 2 6 3 1 3 41 1 41 3 2 Pinellas Park,FL 4 3 1 4 3 2 3 1 5 3 Gary,IN 4 7 4 2 2 1 2 1 1 5 Providence,RI 3 3 1 0 4 4 3 2 5 4 Brownsville,TX 2 3 3 2 4 5 5 1 1 3 Lubbock TX 4 3 1 01 3 3 4 4 1 6 Compton,CA 2 2 5 4 2 5 3 21 1 2 Escondido,CA 1 2 5 3 4 1 3 3 1 5 Grand Rapids,MI 3 31 3 2 5 2 4 4 1 1 Mesquite,TX 3 1 4 1 4 3 4 3 4 1 Lancaster,CA 2 1 1 4 21 2 2 0 8 5 Pueblo,CO 1 6 31 3 1 6 2 2 1 2 Sarasota,FL 3 4 1 3 4 3 3 21 3 1 Des Moines,IA 7 4 3 2 0 1 2 2 2 4 Flint,MI 9 1 5 1 1 3 3 4 0 0 Springfield,MO 3 2 5 3 1 2 2 4 2 3 Yonkers,NY 2 3 3 4 3 5 3 1 2 1 Irving,TX 3 6 2 3 5 2 1 0 1 4 O den,UT 4 4 1 3 4 6 1 1 11 21 1 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 42 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Oxnard,CA 4 3 0 3 2 6 2 2 0 4 Miami Beach,FL 2 4 3 2 2 3 3 1 3 3 North Las Vegas,NV 1 2 1 1 1 1 6 6 2 2 4 Spokane,WA 2 1 4 2 7 3 1 3 1 2 Glendale,CA 1 3 1 4 3 3 5 1 1 3 Palm Springs,CA 3 3 2 5 2 4 2 1 1 2 Lakewood,CO 2 6 1 0 5 2 3 5 1 0 Largo,FL 3 1 4 4 1 2 2 3 1 4 Kansas City,KS 2 4 2 2 3 1 3 4 4 0 Warren,MI 4 1 2 1 3 51 2 41 0 3 Downey,CA 1 6 0 1 3 3 0 3 2 5 Fontana,CA 1 1 1 2 5 5 0 3 2 4 Orange,CA 1 2 2 5 3 3 3 3 2 0 Santa Barbara,CA 1 4 1 2 4 1 2 2 7 0 Stanton,CA 3 0 2 1 4 4 1 1 41 4 Victorville,CA 2 2 3 1 2 4 2 2 3 3 Waterbury,CT 1 3 6 3 3 2 2 0 2 2 New Port Richey,FL 1 2 1 1 4 3 1 5 1 5 North Miami Beach,FL 3 4 1 6 1 2 1 2 2 2 Atlantic City,NJ 4 2 1 2 3 3 3 2 3 1 Huntington,NY 1 4 4 0 2 0 3 2 2 6 Baldwin Park,CA 0 3 1 4 3 1 4 2 3 2 Hayward,CA 5 1 0 7 1 2 4 2 1 0 Redding,CA 3 1 4 2 1 3 2 4 3 0 Santa Rosa,CA 3 51 2 2 3 2 2 0 3 1 Garland,TX 0 3 5 0 1 2 1 51 1 5 Salinas CA 0 4 0 0 1 1 1 5 41 3 4 Santa Clara,CA 2 2 1 5 1 3 3 1 2 2 Bridgeport,CT 3 1 4 2 2 2 1 1 3 3 Lakeland,FL 1 1 3 4 0 3 2 1 1 6 1 Rockford,IL 3 4 6 1 3 1 0 0 3 1 East Orange,NJ 1 2 2 4 2 0 2 3 5 1 North Bergen,NJ 3 1 4 1 4 31 2 21 2 0 New Hyde Park,NY 2 0 4 0 1 2 6 3 2 2 Wilmington,NC 2 1 2 1 2 4 2 2 4 2 Eugene,OR 3 2 1 3 3 3 2 0 4 1 Abilene,TX 2 2 3 2 2 4 2 2 3 0 Newport News,VA 1 4 2 3 2 3 2 0 4 1 Apple Valley,CA 0 0 1 3 0 1 1 3 71 1 5 Fremont,CA 2 2 1 0 3 4 3 3 3 0 Ventura,CA 3 21 2 3 2 4 1 0 2 2 North Miami,FL 3 1 1 2 3 1 1 2 6 1 Riviera Beach,FL 3 2 0 3 2 2 3 2 1 3 Lowell,MA 4 2 1 2 2 1 2 3 3 1 Henderson,NV 2 3 2 1 1 31 3 21 1 3 Gallup,NM 3 0 4 2 1 3 2 5 1 0 Syracuse,NY 4 1 1 2 21 2 4 1 1 2 2 McAllen,TX 3 1 2 3 1 6 2 0 2 1 Port Arthur,TX 2 1 2 2 3 3 1 4 0 3 Scottsdale,AZ 4 5 1 0 1 1 0 3 3 2 Buena Park,CA 2 2 1 1 21 21 21 2 3 3 Lynwood,CA 2 2 3 1 4 31 01 21 21 0 2 NHTSA's National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington,DC 20590 43 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Madera,CA 1 3 2 2 1 0 2 5 1 3 Pasadena,CA 1 3 1 4 2 1 0 3 3 2 Westminster,CA 1 1 1 1 2 2 2 5 2 3 New Haven,CT 3 3 2 1 0 3 3 1 1 3 Deerfield Beach,FL 2 4 1 1 1 2 4 1 2 2 Sanford,FL 3 5 0 0 3 1 0 3 2 3 Tallahassee,FL 5 1 0 2 0 2 2 2 5 1 Pontiac,MI 3 1 3 3 2 0 2 3 2 1 Edison,NJ 2 3 1 0 2 3 3 1 1 4 Lakewood,NJ 1 2 3 1 3 1 3 1 0 5 Allentown,PA 1 0 4 1 6 2 1 3 2 0 Erie,PA 3 3 4 0 1 1 1 4 2 1 Greenville,SC 6 1 1 1 1 0 0 2 5 3 Conroe,TX 1 3 2 5 0 1 3 0 1 4 Waco,TX 2 2 1 3 1 21 1 11 5 2 Everett,WA 3 3 1 01 2 5 0 0 2 4 Carlsbad,CA 2 2 1 2 2 2 1 2 2 3 Corona,CA 2 3 2 2 2 2 2 0 1 3 El Monte,CA 3 2 4 0 1 2 1 2 0 4 Monterey Park,CA 2 2 2 4 0 3 2 1 0 3 National City,CA 4 1 1 2 3 21 1 0 3 2 Melbourne,FL 0 1 2 11 2 1 5 1 4 2 East St Louis,IL 2 5 2 1 1 0 0 3 1 4 Peoria,IL 1 1 3 3 2 1 1 4 1 2 Southfield,MI 2 0 1 2 0 4 3 1 3 3 Freeport,NY 2 2 2 1 2 4 1 1 2 2 Pasadena,TX 4 2 1 5 1 3 0 3 0 0 Chesapeake,VA 2 3 2 2 3 0 1 2 3 1 Flagstaff,AZ 0 1 1 3 3 0 2 1 5 2 Bellflower,CA 1 2 2 3 2 3 3 0 2 0 Indio,CA 3 2 0 3 3 1 2 21 1 1 Palmdale,CA 3 2 1 1 2 11 2 1 3 2 Santa Maria,CA 1 0 1 1 2 1 1 4 6 1 Sunnyvale,CA 2 2 3 0 2 1 1 0 6 1 Vallejo,CA 1 3 1 0 3 1 2 3 1 3 Visalia,CA 2 2 1 2 2 3 2 2 1 1 Davie,FL 1 4 1 0 3 0 2 11 2 4 Immokalee,FL 1 2 2 2 3 1 2 0 1 4 Ocala,FL 1 3 1 3 2 2 1 3 2 0 Albany,GA 1 3 1 3 1 3 3 1 0 2 Athens,GA 2 4 2 1 1 1 1 1 3 2 Lake Charles,LA 1 2 2 1 3 0 0 4 3 2 Billings,MT 1 0 1 2 2 5 01 3 1 3 Trenton,NJ 1 2 3 2 4 1 2 1 1 1 Burlington,NC 4 4 1 2 3 0 2 1 1 0 Hickory,NC 3 0 5 4 0 0 3 0 1 2 Salem,OR 1 4 2 2 1 3 2 3 0 0 Clarksville,TN 51 0 0 1 2 0 2 4 1 3 Longview,TX 2 3 0 2 1 0 2 4 4 0 Temple,TX 2 1 2 0 1 8 1 1 2 0 Pine Bluff,AR 2 2 3 2 1 2 4 0 1 0 Richmond,CA 3 1 0 2 3 3 2 0 2 1 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 44 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Santa Clarita CA 2 1 1 3 3 3 1 2 1 0 Stamford,CT 2 5 1 2 0 3 0 1 3 0 Altamonte Springs,FL 1 1 3 2 1 1 3 2 3 0 Delray Bead,FL 3 2 3 0 1 2 2 2 2 0 Gainesville,FL 3 1 1 3 3 0 0 2 2 2 Kissimmee,FL 2 1 0 5 1 1 2 1 4 0 Lake Worth,FL 0 2 1 2 1 1 4 2 2 2 Oakland Park,FL 1 0 3 2 1 1 4 2 2 1 Panama City,FL 6 1 1 1 2 1 2 0 0 1 3 Sunrise,FL 4 1 2 1 1 2 21 0 31 0 2 Winter Haven,FL 0 2 1 3 3 1 2 0 1 4 Hammond,IN 3 1 2 2 1 2 3 2 0 1 Union,NJ 1 2 3 1 3 3 0 2 2 0 Smithtown NY 0 1 0 3 4 3 4 1 1 0 Southampton,NY 3 4 1 1 3 1 2 2 0 0 Akron,OH 2 1 0 1 1 3 21 3 01 3 2 Reading,PA 1 0 1 31 2 2 2 2 21 2 Baytown,TX 4 1 1 2 1 1 1 1 1 4 Roanoke,VA 0 1 1 5 4 1 0 3 1 1 Lakewood Center,WA 1 2 0 2 2 4 2 1 1 2 Madison,WI 1 3 0 2 3 1 2 3 0 2 Citrus Heights,CA 1 1 1 0 1 1 3 2 3 1 3 Concord,CA 2 2 2 3 3 0 0 01 2 2 Fullerton,CA 3 2 1 1 3 1 1 2 1 1 Gardena,CA 1 3 2 1 1 1 0 4 2 1 Hesperia,CA 2 1 3 0 0 3 5 2 0 0 Inglewood,CA 1 3 5 0 1 0 0 2 2 2 San Leandro,CA 1 3 2 5 0 1 1 2 1 0 Ft Pierce,FL 1 2 2 1 0 4 0 11 2 3 Pensacola,FL 7 1 3 1 1 0 0 1 1 1 Boise,ID 3 0 1 1 0 3 4 1 2 1 Bossier City,LA 0 1 0 31 4 01 1 4 2 1 Forestville,MD 0 1 2 0 2 4 2 1 2 2 Langley Park,MD 1 4 1 1 2 3 2 1 01 1 Cambridge,MA 2 2 1 3 0 0 3 2 2 1 New Bedford,MA 0 4 1 0 3 1 2 4 1 0 Clinton Township,MI 0 1 0 4 1 1 2 2 2 3 Independence,MO 1 1 2 4 0 1 0 2 3 2 Camden,NJ 3 01 0 2 1 1 0 3 2 4 Old Bridge,NJ 0 3 2 2 1 3 2 1 1 1 Ramapo,NY 1 0 1 1 1 2 4 2 1 3 Salisbury,NC 1 6 2 1 2 1 0 1 2 0 Myrtle Beach,SC 1 1 3 31 1 2 2 0 2 1 North Charleston,SC 4 2 1 3 1 01 0 11 0 4 Bryan,TX 3 01 1 1 3 0 0 41 2 2 Grand Prairie,TX 2 1 0 1 4 2 1 2 2 1 Wichita Falls,TX 2 2 2 1 1 0 0 1 5 2 Federal Way,WA 2 1 2 1 2 1 2 2 3 0 Kent,WA 1 4 0 11 1 3 3 0 2 1 Tuscaloosa,AL 3 2 1 0 1 0 0 4 2 2 Chandler,AZ 51 21 0 0 1 1 0 21 1 3 Hawthorne,CA 61 11 2 0 0 1 1 11 1 2 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 45 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Irvine,CA 4 2 2 1 1 0 2 2 0 1 Merced,CA 1 1 1 2 1 3 2 1 0 3 Palm Desert,CA 2 3 0 2 2 2 1 2 1 0 San Gabriel,CA 1 4 1 1 1 0 2 2 3 0 Torrance,CA 1 2 3 4 0 1 1 1 1 1 Boynton Beach,FL 1 0 3 0 2 2 1 1 2 3 Cicero,IL 2 0 1 1 2 3 2 1 1 2 Fort Wayne,IN 1 31 3 1 1 0 0 2 1 3 Monroe,LA 1 21 1 1 1 1 2 1 3 2 Dearborn,MI 0 2 2 2 1 21 1 01 2 3 Lansing,MI 1 3 1 2 0 1 3 1 2 1 Colonie,NY 0 3 1 1 1 2 3 2 0 2 Asheville,NC 0 3 1 0 3 3 0 0 5 0 Edinburg,TX 2 0 3 4 2 0 0 3 1 0 Odessa,TX 3 4 0 1 1 2 2 0 1 1 South Salt Lake,UT 2 0 0 4 4 1 1 2 01 1 1 Alexandria,VA 2 0 3 2 2 2 1 0 2 1 North Little Rods,AR 1 1 1 2 4 0 2 1 0 2 Cucamonga,CA 2 6 2 1 0 0 0 0 2 1 Gilroy,CA 1 1 1 1 2 1 2 1 0 4 Hemet,CA 0 3 0 1 1 3 2 2 0 2 Rancho Cucamonga,CA 0 0 0 01 3 21 1 11 1 6 West Covina,CA 1 0 0 2 1 3 2 0 4 1 Yucca Valley,CA 1 1 2 1 0 1 4 0 1 3 Boca Raton,FL 0 1 1 1 1 0 2 2 3 3 Homestead,FL 2 0 1 1 2 0 3 0 3 2 Pembroke Pines,FL 2 1 0 1 3 3 2 0 0 2 Skokie,IL 0 0 0 2 5 1 0 3 1 2 Springfield,IL 1 1 2 1 0 4 1 11 3 0 Evansville,IN 3 1 0 0 1 1 3 0 3 2 South Bend,IN 2 2 2 1 2 0 1 1 1 2 Biloxi,MS 1 3 1 0 1 0 0 1 3 4 Gulfport,MS 2 1 1 1 2 1 0 1 4 1 Clifton,NJ 1 0 2 2 1 0 2 3 1 2 Teaneck,NJ 1 1 3 0 0 2 1 31 2 1 Santa Fe,NM 2 1 2 1 1 2 0 1 2 2 Many,NY 2 1 1 0 0 3 2 1 2 2 Cheektowaga,NY 1 0 1 2 2 1 2 4 0 1 Niagara Falls,NY 1 4 1 1 1 21 1 0 1 2 Gastonia,NC 0 2 3 0 2 1 1 3 2 0 Springfield,OR 0 0 1 0 2 4 2 3 0 2 Scranton,PA 0 21 1 3 0 1 3 0 1 3 Suffolk,VA 1 2 1 1 1 2 1 2 2 1 Shoreline,WA 3 1 0 1 1 21 2 1 2 1 Kenosha,WI 2 1 1 01 3 21 0 1 2 2 Bullhead City,AZ 1 2 1 2 1 1 1 1 2 1 Fort Smith,AR 0 1 4 0 1 3 1 1 0 2 Burbank,CA 2 1 1 2 2 2 0 0 2 1 Coachella,CA 1 1 0 2 0 5 2 0 2 0 Encinitas,CA 1 2 2 0 1 1 2 2 1 1 South Gate,CA 4 0 21 1 0 3 0 2 1 0 South San Francisco,CA 1 1 0 1 2 11 21 01 2 3 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 46 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 West Sacramento,CA 0 3 0 1 1 2 2 1 1 2 Whittier,CA 1 1 0 2 0 1 0 7 1 0 Westminster,CO 0 0 3 1 3 1 2 0 0 3 Bradenton,FL 3 1 2 0 2 0 2 1 1 1 Cape Coral,FL 0 1 2 2 1 1 1 0 2 3 Hilo,HI 1 2 2 1 0 0 2 0 3 2 Davenport,IA 0 3 0 1 1 1 1 0 2 4 Alexandria,LA 2 3 0 1 0 3 2 1 0 1 Hyattsville,MD 4 0 2 0 2 0 1 0 3 1 Landover,MD 2 31 0 01 0 4 0 1 1 2 1 Fall River,MA 1 1 3 1 2 21 0 1 1 1 Hattiesburg,MS 0 0 0 0 0 2 1 3 3 4 Columbia,MO 1 1 0 2 2 1 1 2 1 2 North Brunswick NJ 1 1 2 1 1 1 0 3 1 2 Amherst,NY 1 1 2 1 3 1 2 1 0 1 Hamburg,NY 2 21 2 21 3 0 0 1 0 1 Goldsboro,NC 2 2 1 1 0 21 2 1 1 1 Gresham,OR 0 3 0 3 1 1 3 0 1 1 Harrisburg,PA 2 2 1 0 3 2 0 1 2 0 Galveston,TX 3 4 1 0 0 2 1 1 1 0 Victoria,TX 1 1 2 2 1 1 3 0 0 2 Portsmouth,VA 4 21 1 01 1 4 0 1 0 0 Tukwila,WA 0 2 1 1 2 11 2 2 0 2 Vancouver,WA 1 3 4 2 1 1 0 1 0 0 Charleston,WV 2 2 2 4 1 1 1 0 0 0 Yuma,AZ 2 0 1 4 3 2 0 0 0 0 Fayetteville,AR 1 0 0 3 1 2 1 3 1 0 Arcadia,CA 1 2 1 0 1 2 1 2 1 1 Beverly Hills,CA 1 1 2 1 2 1 1 0 0 3 Carson,CA 2 1 1 4 1 1 1 1 0 0 Cathedral City,CA 0 2 1 1 0 1 2 4 0 1 Costa Mesa,CA 2 1 1 1 4 0 1 2 0 0 Daly City,CA 2 3 1 1 0 2 0 2 0 1 Eureka,CA 2 0 1 1 1 2 01 2 11 2 1 Norwalk,CA 1 0 1 1 0 1 2 1 2 3 Rosemead,CA 1 3 1 1 2 1 1 0 1 1 Temecula,CA 0 1 1 2 1 1 1 2 0 3 Turlock,CA 3 3 0 0 2 1 1 1 1 0 Norwalk,CT 2 2 0 1 1 2 0 1 3 0 Dania,FL 3 0 2 2 0 2 1 21 0 0 Hallandale,FL 2 3 0 2 0 2 0 1 2 0 Palm Bay,FL 0 0 2 1 0 1 0 1 1 6 Aiea,HI 1 2 1 1 2 2 0 2 1 0 Aurora,IL 0 41 0 1 1 1 21 2 0 1 1 Elgin,IL 1 1 0 2 1 2 1 0 2 2 Waukegan,IL 0 1 1 2 0 1 1 1 1 4 Kenner,LA 1 3 0 1 1 0 2 01 2 2 Oxon Hill,MD 0 2 0 0 2 0 1 2 3 2 Lynn,MA 4 0 1 0 2 1 0 1 2 1 Revere,MA 01 21 0 2 2 1 0 2 1 2 Taunton,MA 01 11 0 3 2 2 0 0 2 2 St Joseph,MO 21 21 0 1 3 0 1 0 0 3 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 47 City Name 1997 1996 1999 2000 2001 2002 2003 2004 2005 2006 Hackensack,NJ 0 0 2 0 0 4 0 3 2 1 Howell,NJ 3 1 1 2 0 0 2 1 1 1 Paramus,NJ 2 0 1 2 3 1 2 0 1 0 Parsippany,NJ 0 1 3 0 1 1 2 0 1 3 Rahwa ,NJ 0 0 1 2 1 21 1 21 2 1 Sayreville,NJ 0 0 1 1 1 2 0 2 2 3 Farmington,NM 3 1 0 1 1 1 1 2 1 1 Las Cruces,NM 1 0 0 2 1 1 2 0 2 3 Greenville,NC 2 1 0 0 0 0 1 2 4 2 High Point,NC 2 31 2 11 0 0 2 1 1 0 Bethlehem,PA 1 3 1 0 0 1 1 0 21 2 2 Conway,SC 0 3 1 2 1 1 1 1 1 1 Sioux Falls,SD 2 1 0 1 1 1 2 1 2 1 Jackson,TN 0 1 1 2 0 0 2 2 2 2 Killeen,TX 0 1 1 1 0 1 1 2 3 2 Texarkana,TX 1 21 1 01 3 0 3 0 0 2 Renton,WA 2 1 0 2 0 1 4 11 0 1 Bessemer,AL 2 3 0 1 0 0 1 1 2 1 West Memphis,AR 2 1 1 1 1 1 0 2 1 1 Berkeley,CA 1 2 0 1 1 1 0 4 1 0 Cotton,CA 1 1 0 1 2 1 1 0 3 1 Desert Hot Springs,CA 2 2 1 01 2 1 1 0 1 2 0 La Mirada,CA 0 0 0 0 2 0 2 1 1 3 3 Montclair,CA 1 0 1 0 3 1 1 0 2 2 Montebello,CA 0 1 4 1 2 1 0 0 1 1 Mountain View,CA 2 3 0 0 1 3 0 0 2 0 Penis,CA 0 1 0 0 0 2 0 1 4 3 Pico-Rivera,CA 0 0 3 3 2 1 1 0 1 0 Redwood City,CA 1 1 0 1 0 0 0 41 1 3 San Marcos,CA 1 0 1 0 2 1 1 1 3 1 San Mateo,CA 3 0 2 0 0 0 0 2 1 3 Englewood,CO 0 1 1 1 0 3 0 1 3 1 East Hartford,CT 2 1 1 0 2 1 2 0 1 1 Apopka,FL 0 0 1 1 2 2 0 0 3 2 Holly Hill,FL 1 2 0 1 0 2 0 1 1 3 Miramar,FL 2 0 0 0 1 0 2 0 2 4 Doraville,GA 0 3 1 0 2 1 0 1 1 2 Ocean City,MD 21 0 1 3 1 0 2 1 1 0 Brockton MA 0 0 2 01 2 1 1 3 2 1 0 Quincy,MA 2 2 1 0 0 0 1 0 1 4 Farmington Hills,MI 1 1 1 2 1 4 0 0 0 1 Roseville,MI 0 1 3 2 0 1 1 0 1 2 Sa inaw,MI 0 01 4 0 2 2 1 1 0 1 Taylor,MI 1 1 2 2 2 0 2 1 0 0 Rochester,MN 3 1 2 0 0 1 2 1 0 1 Lincoln,NE 2 3 0 1 1 0 1 1 1 1 Irvington,NJ 0 1 2 2 0 2 0 0 3 1 Middletown,NJ 4 0 0 1 2 0 0 1 0 3 Millville,NJ 0 1 1 2 1 1 1 01 3 1 1 1 Vineland,NJ 3 1 1 2 1 0 0 01 1 2 Mount Vernon,NY 1 3 0 0 0 2 0 3 1 1 Newburgh,NY 1 1 3 0 0 1 1 1 1 2 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 48 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Utica,NY 2 1 1 0 0 1 0 2 1 3 Rocky Mount,NC 1 3 0 1 0 2 2 0 0 2 Wilson,NC 2 2 3 2 1 0 0 0 1 0 Canton,OH 3 1 0 1 0 1 1 1 3 0 Beaverton,OR 0 1 1 2 1 1 0 2 1 2 Bensalem,PA 0 0 0 0 0 5 2 3 1 0 Warwick,RI 1 4 3 0 2 0 0 0 0 1 College Station,TX 0 0 6 1 1 0 0 2 1 0 Lewisville,TX 3 2 0 0 0 1 1 0 4 0 Tyler,TX 0 0 1 01 1 1 1 2 21 2 2 Hampton,VA 1 2 2 1 1 1 2 1 0 0 Green Bay,Wl 1 0 2 1 0 2 3 0 1 1 West Allis,WI 0 1 2 0 2 1 2 2 0 1 Holbrook,AZ 4 0 2 1 1 2 0 0 0 0 Texarkana,AR 0 2 0 1 0 0 3 2 1 1 Calexico,CA 1 1 1 31 1 1 1 0 01 1 1 El Centro,CA 0 2 0 0 0 1 1 1 2 3 Huntington Park,CA 2 0 0 0 1 1 2 0 1 3 Laguna Beach,CA 2 1 1 2 1 0 1 1 1 0 Lake Los Angeles,CA 0 0 0 0 0 0 0 10 0 0 Lodi,CA 0 1 2 1 1 0 1 1 1 2 Moreno Valley,CA 0 0 0 11 4 01 0 21 1 2 Newport Beach,CA 1 2 0 2 0 1 1 2 1 0 San Rafael,CA 2 1 1 2 2 1 0 0 1 0 South Lake Tahoe,CA 3 01 0 2 1 1 2 0 1 0 Thousand Oaks,CA 1 0 2 1 2 1 0 2 1 0 Tustin,CA 0 2 1 1 0 0 1 2 1 0 3 Tywentynine Palms,CA 1 0 1 0 2 1 1 2 11 2 0 Upland,CA 1 2 2 0 0 1 0 0 2 2 Watsonville,CA 0 0 1 0 1 2 4 2 0 0 New Britain,CT 0 0 0 3 0 2 1 2 0 2 Haines City,FL 1 1 0 2 0 1 1 2 1 1 Margate,FL 3 1 2 1 0 0 0 0 0 3 Ormond Beach,FL 0 1 0 1 2 2 2 1 0 1 Port Richey,FL 1 0 2 2 0 2 1 1 0 1 Winter Park,FL 3 2 0 0 2 1 0 1 1 0 Wai ahu,HI 1 0 0 2 3 2 0 2 0 0 Des Plaines,IL 2 0 0 2 0 1 1 1 3 0 Evanston IL 1 1 1 1 2 01 3 1 0 0 Mt Prospect,IL 1 2 0 1 1 1 2 1 1 0 Schaumburg,IL 1 1 1 1 1 1 3 0 0 1 Cedar Rapids,IA 1 31 0 1 0 2 0 2 0 1 Topeka,KS 0 0 4 0 2 0 1 1 0 2 Bo-Ming Green,KY 0 2 1 01 1 1 1 2 0 2 Annapolis,MD 1 0 0 1 4 0 01 0 3 1 Medford,MA 0 2 1 2 1 1 0 1 1 1 Somerville,MA 2 2 1 0 2 0 0 1 1 1 Kalamazoo,MI 2 1 1 2 1 0 2 0 1 1 0 Westland,MI 1 3 0 3 1 0 0 0 0 2 Joplin,MO 2 2 1 0 0 1 2 0 1 1 Carson City,NV 3 1 2 1 0 1 2 01 01 0 Bayonne,NJ 1 2 3 01 01 01 11 01 1 2 NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 49 City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Linden NJ 2 1 1 1 1 0 2 1 1 0 Pennsauken,NJ 1 1 2 2 0 0 2 1 1 0 Wayne,NJ 1 1 1 2 1 1 1 0 1 1 East Hampton,NY 0 0 1 0 1 0 3 3 1 1 New City,NY 0 0 4 1 1 21 1 0 1 0 New Rochelle,NY 1 1 2 0 1 1 1 2 0 1 Lumberton,NC 2 1 0 0 2 1 0 0 2 2 Medford,OR 3 0 1 0 0 1 0 2 1 2 Lancaster,PA 0 0 2 3 0 2 1 0 21 0 Harlingen,TX 0 1 3 1 1 2 0 1 1 0 Marshall,TX 2 0 2 0 2 0 1 0 1 2 Pharr,TX 2 2 0 2 1 1 0 1 1 0 Plano,TX 1 0 0 2 3 3 0 0 1 0 San Marcos,TX 0 0 2 1 2 2 1 0 0 2 South Houston,TX 0 0 2 1 0 0 3 2 1 1 Sugar Land,TX 0 1 0 1 2 2 1 1 1 1 Texas City,TX 0 0 1 0 1 31 3 1 0 1 West Valley City,UT 2 2 0 2 1 0 1 1 0 1 Huntington,WV 2 3 2 0 1 2 0 0 0 0 Casper,WY 1 1 2 3 1 1 01 0 1 0 Note:Data in this table has been used to create Table 5 in Crash Location. Table A-8: Pedestrian crash deaths bi,dav of month and month Day of Month Jan Feb Mar Apr May Jun Jul AugOct Nov Dec 1 236 140 148 130 121 142 115 122 144 152 173 205 2 151 137 130 131 111 118 131 157 145 168 171 188 3 159 126 120 118 135 107 140 134 153 156 189 169 4 141 157 129 126 109 108 149 131 140 169 173 193 5 152 149 133 133 133 98 115 129 130 162 160 143 6 154 135 134 119 109 108 103 119 127 139 161 158 7 148 139 128 103 121 105 100 116 146 145 169 150 8 148 128 139 126 115 127 88 134 105 146 148 180 9 146 123 130 111 105 101 122 108 151 159 162 151 10 163 134 117 109 99 112 110 138 136 160 194 178 11 143 137 115 115 111 132 134 117 145 151 124 152 12 153 117 96 113 100 108 98 122 126 172 163 144 13 113 125 122 112 110 130 115 119 140 171 151 175 14 164 149 125 100 117 109 111 135 141 160 156 146 15 119 141 126 126 119 112 112 129 166 157 173 170 16 135 97 124 134 113 100 146 129 140 177 174 168 17 156 124 108 111 105 99 128 127 140 170 166 167 18 134 116 121 115 115 103 122 118 156 135 158 176 19 120 104 130 120 117 131 131 139 133 157 160 184 20 134 129 119 105 115 137 114 144 155 146 190 183 21 132 132 110 107 106 92 113 108 113 167 168 171 22 159 1171 121 1171 106 118 91 1301 164 147 182 169 23 125 131 102 99 118 1111 113 142 152 1501 157 187 24 126 107 132 98 113 1101 133 122 151 171 166 148 25 143 129 113 105 103 136 108 127 133 191 146 119 26 126 147 118 113 103 123 118 137 161 178 159 140 27 134 134 117 110 96 114 119 145 144 139 153 137 28 135 135 122 109 111 130 119 120 129 153 153 131 29 1371 241 101 1 991 113 118 101 1 1391 140 172 180 135 30 151 1 N/A 1 1001 1131 112 112 1271 1401 131 179 142 128 31 147 N/A 1 129 N/A 1 100 1 N/A 1 1161 149 1 N/A 1 212 N/A 1 185 Note:Data in this table has been used to create Table 6 in Crash Time NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 50 Table A-9: Pedestrian crash deaths bv dav of week and year Weekday 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Sunday 715 686 663 659 624 651 622 688 661 749 Monday 644 673 648 610 635 607 569 563 603 597 Tuesday 671 720 636 629 612 627 591 587 617 631 Wednesday 715 673 637 603 639 665 693 614 645 627 Thursday 702 707 660 653 678 646 639 620 654 611 Friday 920 847 829 766 836 787 783 782 814 747 Saturday 952 920 865 842 873 867 874 820 897 822 Unknown 2 2 1 1 4 1 3 1 1 0 Note:Data in this table has been used to create Figures 3-1 and 3-2 in Crash Time. Table A-10: Pedestrian crash deaths by month and year Month 1997 1998 1999 20001 2001 2002 2003 2004 2005 2008 January 480 486 449 444 397 479 453 406 443 450 February 386 426 338 353 361 357 345 367 372 358 March 401 377 394 388 383 357 374 350 366 371 April 359 366 377 338 340 341 352 294 348 314 May 440 350 361 371 341 350 280 357 307 306 June 377 378 350 335 320 369 332 336 318 337 July 396 387 401 318 355 359 369 317 377 363 Auqust 441 417 407 389 422 386 402 363 392 408 September 421 442 379 426 405 406 414 435 471 440 October 5141 536 509 479 517 523 4671 470 501 1 497 November 539 534 4721 4471 527 461 4971 471 501 1 472 December Et 5671 529 5021 4751 533 463 4891 509 4961 468 Note:Data in this table has been used to create Figure 3-3 in Crash Time. Table A-11: Pedestrian crash deaths by season and year Season 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Winter 1,433 1,441 1,289 1,272 1,291 1,299 1,287 1,282 1,311 1,276 Spring 1,200 1,093 1,132 1,097 1,064 1,048 1,006 1,001 1,021 991 Summer 1,214 1,182 1,158 1,042 1,097 1,114 1,103 1,016 1,087 1,108 Fall 1,474 1,512 1,360 1,352 1,449 1,390 1,378 1,376 1,473 1,409 Note:Data in this table has been used to create Figure 3-4 in Crash Time. Table A-12: Pedestrian crash deaths by time of day and year Time of Day 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Midnight to 3 a.m. 562 578 553 544 533 579 565 574 624 618 3 a.m.to 6 a.m. 339 332 357 318 379 373 374 372 438 453 6 a.m.to 9 a.m. 499 432 441 441 430 415 391 394 434 453 9 a.m.to Noon 336 342 323 276 298 288 325 290 290 254 Noon to 3 p.m. 435 415 322 381 375 329 331 312 321 293 3 p.m.to 6 p.m. 717 687 613 578 626 625 620 567 568 478 6 p.m.to 9 p.m. 1,316 1,310 1,241 1,218 1,199 1,188 1,151 1,158 1,182 1,183 9 p.m.to Midnight 1,086 1,101 1,060 975 1,031 1,027 992 983 1,007 1,019 Unknown 31 31 29 32 30 27 25 25 28 33 Note:Data in this table has been used to create Figures 3-5&3-6 in Crash Time. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 51 Table A-13: Pedestrian crash deaths by sex and year Pedestrian Sex 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Male 3,643 3,558 3,466 3,251 3,421 3,298 3,274 3,237 3,450 3,309 Female 1,677 1,670 1,472 1,512 1,479 1,552 1,499 1,435 1,441 1,444 Unknown 1 0 1 0 1 1 1 3 1 31 Note:Data in this table has been used to create Figures 4-1 &4-2 in Pedestrian Information. Table A-14: Pedestrian crash deaths by race and year Race 1997 1998 1999 2000 2001 2002 2003 2004 2005 White N/A N/A 2,870 2,720 3,137 3,124 3,220 2,906 3,073 Black N/A N/A 799 705 768 787 724 724 750 American Indian N/A N/A 106 88 100 102 107 86 110 Asian N/A N/A 100 106 88 100 113 118 134 Pacific Islander N/A N/A 32 40 58 50 42 40 58 Other Indian N/A N/A 0 0 6 4 3 6 7 Other N/A N/A 22 14 18 38 27 46 47 Unknown N/A N/A 1,010 1,090 726 646 538 749 713 Note:Data in this table has been used to create Figure 4-3 in Pedestrian Information. Table A-15: Pedestrian crash deaths by specific age grou p and year Age Group 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 <4 167 171 163 154 122 121 109 108 112 108 5-9 243 202 196 166 149 142 131 121 107 104 10-15 241 209 212 204 216 176 202 168 167 167 16-20 301 301 273 263 294 284 302 269 281 274 21-24 253 255 236 227 275 246 266 278 297 290 25-29 338 294 288 305 271 281 296 298 296 317 30-34 424 382 334 311 293 321 268 301 319 298 35-39 471 487 457 419 446 392 377 353 341 341 40-44 461 451 454 462 466 467 475 428 463 429 45-49 406 426 386 406 433 453 421 450 484 506 50-54 294 303 313 333 367 360 359 405 430 427 55-59 245 278 274 263 258 257 310 271 337 307 60-64 254 244 212 207 207 242 243 233 222 260 65-69 243 211 213 189 180 219 204 188 211 202 70+ 931 965 8851 8071 878 845 777 7631 777 702 Unknown 491 49 431 471 46 45 34 411 481 62 Note:Data in this table has been used to create Figure 44 in Pedestrian Information. Table A-16: Pedestrian crash deaths by age group and year Age Group 1997 1998 19" 2000 2001 2002 2003 2004 2005 2006 Children Under 15 599 540 521 475 446 391 389 366 336 331 Youth 15-24 606 598 559 539 610 578 621 578 628 602 Young Adults 25-40 1,327 1,245 1,178 1,129 1,099 1,071 1,033 1,024 1,032 1,022 Adults 41-64 1,566 1,620 1,540 1,577 1,642 1,702 1,716 1,715 1,860 1,863 Seniors Over 64 1,174 1,176 1,0981 9961 1,0581 1,0641 981 1 951 988 904 Unknown Age 1 49 49 431 471 461 451 341 41 481 62 Note:Data in this table has been used to create Figures 4-5&4-6 in Pedestrian Information. Table A-17: Pedestrian crash deaths b Hispanic on in and year Hispanic Origin 1997 1998 1999 2000 2001 2002 2003 2004 2005 Hispanic N/A N/A 654 564 757 722 798 767 867 Non-Hispanic N/A N/A 2,983 2,926 3,211 3,385 3,374 3,117 3,251 Unknown N/A N/A 1,302 1,273 933 744 602 791 774 Note:Data in this table has been used to create Figure 4-7 in Pedestrian Information. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 52 Table A-18: Pedestrian crash deaths bv Dedestrian BAC and year Pedestrian BAC .1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 No Alcohol 3,471 3,263 3,064 2,980 3,078 3,039 2,990 2,899 3,101 2,916 .01-.07 179 251 197 217 225 201 194 211 200 219 .08+ 1,671 1,715 1,679 1,567 1,599 1,611 1,590 1,565 1,591 1,649 Note:Data in this table has been used to create Figure 4-8 in Pedestrian Information. Table A-19:Vehicle drivers in estrian crash deaths b sex and year Driver Sex 19971 1998 1999 2000 2001 2002 2003 2004 2005 2006 Male 3,417 3,429 3,186 3,101 3,042 3,083 3,052 2,930 3,145 2,993 Female 1,246 1,297 1,226 1,187 1,232 1,171 1,160 1,197 1,124 1,140 Unknown 523 468 453 453 520 493 465 483 552 590 Note:Data in this table has been used to create Figure 5-1 in Driver Information. Table A-20: Frequency in pedest "an crash deaths Pedestrian behavior and ear Pedestrian Behavior 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Improper Crossin 1,543 1,526 1,494 1,412 1,386 1,516 1,369 1,159 1,032 1,061 Walking/Riding Walking/Riding With or Against Traffic 1,556 1,589 1,426 1,210 1,277 1,193 1,188 1,131 1,023 923 Fail to Yield Right-of-Way 789 707 670 676 686 667 673 729 590 676 Dartirm or Running Into Road 709 651 648 612 553 586 575 506 551 605 Not Visible 364 4171 397 460 463 567 537 5221 514 582 Inattentive 170 131 106 122 146 112 119 122 119 122 Fail to Obey Traffic Control 66 67 72 86 93 85 70 78 57 72 Other 243 323 354 321 347 349 406 403 343 448 Unknown 84 83 93 81 921 108 109 130 69 182 None reported 1,304 1,279 1,2431 1,3241 1,4231 1,2741 1,299 1,429 1,970 1,615 Note:Data in this table has been used to create Figure 4-10 in Pedestrian Information. Table A-21:Vehicle drivers in fatal pedestrian crashes by age group and year Driver Age Group 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 6-10 0 0 0 0 0 0 0 0 1 1 11-15 12 11 11 6 8 14 11 3 5 6 16-20 586 619 562 569 555 534 510 488 467 465 21-25 703 630 593 538 527 560 539 563 571 605 26-30 575 588 543 516 506 449 4531 425 449 450 31-35 524 525 504 493 498 477 454 402 427 365 36-40 506 519 472 456 445 415 448 414 408 373 41-45 442 470 422 392 432 428 433 437 424 409 46-50 367 370 315 345 361 365 350 330 427 384 51-55 267 267 282 270 270 278 263 295 335 304 56-60 175 207 209 219 190 222 214 245 215 274 61-65 123 125 145 138 117 151 136 166 175 184 66-70 111 108 89 103 100 99 119 95 114 91 71-75 106 115 108 100 83 92 101 106 93 75 76-80 63 65 59 50 68 74 76 53 70 61 81-85 31 36 38 34 46 41 411 43 431 37 Over85 18 15 15 15 18 12 18 24 19 16 Unknown 577 524 498 497 570 536 5111 521 5781 623 Note:Data in this table has been used to create Figure 5-2 in Driver Information. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 53 Table A-22:Vehicle drivers in fatal pedestrian crashes by survival status and year Driver Survival Status 1997 1998 1999 2000 2001 2002 2003 2004 2005 20" Survived 4,824 4,851 4,523 4,416 4,424 4,392 4,366 4,273 4,431 4,345 Killed 6 15 20 15 13 10 15 16 12 15 Unknown 356 328 322 310 357 345 296 321 378 363 Note:Data in this table has been used to create Figure 5-3 in Driver Information. Table A-23:Vehicle drivers in fatal pedestrian crashes by driver BAC and year Driver BAC 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 No Alcohol 4 047 7,834 7,498 7,052 7,052 3,526 3,526 3 526 3 526 3 526 .01-.07 175 390 329 339 339 169 169 169 169 169 .08+ 529 1 180 973 1 106 1,106 553 553 553 553 553 .01+ 704 1,570 1,302 1444 1444 722 722 722 722 722 Note:Data in this table has been used to create Figure 5-4 in Driver Information. Table A-24: Pedestrian crash deaths bv driver s eedina status and year Driver Speeding Status 19971 1998 19991 2000 2001 2002 2003 2004 2005 2006 Speeding 502 387 423 338 387 402 444 387 404 360 Not Speeding 4,792 4,817 4,495 4,380 4,467 4,405 4,295 4,256 4,416 4,355 Unknown 28 24 21 46 47 44 36 34 72 69 Note:Data in this table has been used to create Figures 5-5&5-6 in Driver Information. Table A-25: Frequency of driver behaviors in fatal pedestrian crashes bv vear Driver Behavior 1997 1998 11999 12000 2001 2002 2003 2004 2005 2006 Hit-and-Run Vehicle Driver 830 791 772 696 756 758 745 742 835 809 Driving over Posted Limit or too Fast for Conditions 497 382 409 333 376 393 435 381 396 354 Inattentive 404 341 362 336 350 296 293 255 281 329 Fail to Yield Right-of-Way 388 356 350 356 323 363 402 385 358 324 Fail to keep in Proper Lane 333 264 308 121 137 100 84 200 232 207 Non-Traffic Violation Charged 234 209 215 157 167 138 115 116 93 83 Other Non-Moving Traffic Violation 223 243 257 224 182 201 179 150 165 160 Operating Vehicle in Erratic,Reckless,or Careless Manner 187 176 150 164 176 145 181 176 136 75 Other Drugs N/A N/A N/A N/A N/A N/A 334 371 359 358 Unknown 101 78 95 1071 1061 94 91 1031 1461 152 Other 844 883 906 1,009 1,060 1,164 1,300 1.033 1 9691 926 Note:Data in this table has been used to create Figure 5-7 in Driver Information. Table A-26: Pedestrian crash deaths bv atmos heric condition and year Atmospheric Condition 19971 1998 19991 2000 2001 2002 2003 2004 2005 2006 No Adverse Condition 4 678 4,583 4,435 4,287 4,366 4,278 4,227 4,113 4,329 4,238 Rain 454 491 373 315 386 406 376 371 390 400 Sleet 24 12 9 12 6 11 10 5 14 5 Snow 52 24 43 50 46 42 46 43 52 20 Fog 54 71 48 36 451 461 531 561 351 43 Other 1 131 21 1 101 27 131 341 331 491 441 13 Unknown 1 461 261 211 36 391 341 291 381 281 65 Note:Data in this table has been used to create Figure 6-1 in Other Crash Information. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 54 Table A-27: Pedestrian crash deaths by light condition and year Light CondMon 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Daylight 1,742 1,717 1,511 1,509 1,550 1,450 1,423 1,349 1,402 1,224 Dark 1,676 1,618 1,591 1,475 1,531 1,590 1,546 1,537 1,655 1,667 Dark but Lighted 1,659 1,678 1,609 1,597 1,595 1,611 1,621 1,603 1,636 1,623 Dawn 92 83 90 74 85 76 70 76 91 99 Dusk 1 121 1161 1211 881 1101 106 98 84 87 111 Unknown 1 31 161 17 201 301 181 161 26 21 60 Note:Data in this table has been used to create Figures 6-2&6-3 in Other Crash Information. Table A-28: Pedestrian crash deaths bposted speed limit and year Pasted Speed Limit 1997 19981 1999 2000 2001 2002 2003 2004 2005 2006 No Posted Speed Limit 13 17 19 11 9 8 12 13 18 10 Under30 mph 519 496 480 466 470 481 478 431 455 421 30-39 mph 1,643 1,563 1,483 1,466 1,445 1,350 1,388 1,338 1,345 1,261 40-49 mph 1,225 1,293 1,192 1,088 1,179 1,186 1,127 1,199 1,297 1,272 Over 49,mph 1,715 1,666 1,562 1,549 1,573 1,5841 1,491 1 1,4761 1,5281 1,498 Unknown 206 193 203 183 1 2251 2421 2781 2181 249 322 Note:Data in this table has been used to create Figure 6-4&6-5 in Other Crash Information. Table A-29: Pedestrian crash deaths by hit-and-run status and year Hit-and-Run 19971 1998 19991 2000 2001 2002 2003 2004 2005 2006 No Hit-and-Run 4,393 4,344 4,074 3,954 4,016 3,969 3,894 3,795 3,912 3,842 Hit Pedestrian 912 879 850 796 866 866 856 865 955 928 Hit Parked Vehicle or Object 6 2 4 5 5 4 11 2 8 2 Other&Unknown 10 3 11 8 14 12 13 13 17 12 Note:Data in this table has been used to create Figure 6-6 in Other Crash Information. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 55 APPENDIX B NASS GES Data 1997-2006 Table B-1: Pedestrian crashes and crash standard deviation bv vear Year. 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Nonfatal Pedestrian Crashes 79,689 71,109 87,780 80,325 79,722 71,858 71,725 70,153 65,529 62,753 Nonfatal Pedestrian Crash Std.Dev 7,403 7,718 7,185 7,469 5,341 5,290 5,449 4,296 3,831 4,428 Pedestrian Crashes 85,010 76,337 92,719 85,088 84,623 76,709 76,499 74,828 70,421 67,537 Note:1.Data in this table has been used to create Figures 1-6,2-3.3-7,and 3-8. 2.Pedestrian Crash=Pedestrian Crash Deaths+Nonfatal Pedestrian Crashes Table B-2: Pedestrian crashes by month, 1997-2006 Month Pedestrian Crash Crash Std.Dev Jan 68,844 4,652 Oct 71,238 4,206 Dec 72,493 4,375 Other 567,194 37,799 Note:Data in this table has been used to create fatality probabilities in Crash Time. Table B-3: Pedestrian crashes bv da of week, 1997-2006 Weekday Pedestrian Crash Crash Std.Dev Sunday 80,038 5,596 Monday 108,431 7,474 Tuesday 114,895 7,776 Wednesday 120,105 9,003 Thursday 121,422 7,889 Friday 138,117 8,959 Saturday 106,747 5,174 Unknown 16 0 Note:Data in this table has been used to create Figure 3-2 in Crash Time. Table B-4: Pedestrian crashes b f time of day,1997-2006 Time of Day Pedestrian Crash Crash Std.Dev Midnight to 3 a.m. 36,394 2,634 3 a.m.to 6 a.m. 18,220 1,675 6 a.m.to 9 a.m. 86,180 5,692 9 a.m.to Noon 78,674 4,586 Noon to 3 p.m. 116,216 7,994 3 p.m.to 6 p.m. 190,770 16,579 6 P.M.to 9 P.M. 169,639 11,291 9 p.m.to Midnight 1 93,386 5,887 Unknown 1 2911 0 Note:Data in this table has been used to create Figure 3-6 in Crash Time. Table B-5: Pedestrian crashes bpedestrian sex, 1997-2006 Pedestrian Sex Pedestrian Crash Crash Std.Dev Male 466,494 27,592 Female 319,108 19,889 Unknown 4,167 1,467 Note:Data in this table has been used to create Figure 4-2 in Pedestrian Information. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 56 Table B-6: Pedestrian crashes by pedestrian age group, 1997-2006 Pedestrian Age Group Pedestrian Crash Crash Std.Dev Children Under 15 193,102 23,475 Youth 15-24 139,907 7,952 Young Adults 25-40 178,308 8,972 Adults 41-64 179,646 9,097 Seniors Over 64 70,1621 5,724 Unknown Age 28,6461 3,827 Note:Data in this table has been used to create Figure 4-6 in Pedestrian Information. Table B-7: Pedestrian crashes by alcohol involvement, 1997-2006 Alcohol Involved Pedestrian Crash Crash Std.Dev Alcohol Involved 84,300 5,198 No Alcohol Involved 654,166 33,695 Other&Unknown 51,307 12,491 Note:Data in this table has been used to create Figure 4-9 in Pedestrian Information. Table B-8: Pedestrian crashes by driverspeeding status 1997-2006 Driver Speeding Status Pedestrian Crash Crash Std.Dev Speeding 581,309 34,503 Not Speeding 80,841 2,621 Unknown 127,654 12,898 Note:Data in this table has been used to create Figure 5-6 in Driver Information Table B-9: Pedestrian crashes by atmospheric condition, 1997-2006 Atmospheric Condition Pedestrian Crash Crash Std.Dev No Adverse Condition 694,648 41,623 Rain 77,328 6,328 Sleet 556 109 Snow 10,656 1,259 Fog 2,777 532 Other 3,804 1,121 Note:Data in this table has been used to create Figure 6-2 in Other Crash Information Table B-10: Pedestrian crashes by light condition,1997-2006 Light Condition Pedestrian Crash Crash Std.Dev Daylight 478,199 32,954 Dark 72,696 4,710 Dark but Lighted 196,669 11,047 Dawn 8,403 929 Dusk 25,617 3,025 Unknown 8,184 1,072 Note:Data in this table has been used to create Figure 6-4 in Other Crash Information Table B-11: Pedestrian crashes posted speed limit, 1997-2006 Post Speed Limit Pedestrian Crash Crash Std.Dev No Posted Speed Limit 5,438 1,257 Under 30 mph 192,250 36,282 30-39 mph 225,890 18,698 40-49 mph 81,879 7,396 Over 49 mph 48,861 4,256 Unknown 235,4491 18,415 Note:Data in this table has been used to create Figure 6-6 in Other Crash Information NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 57 Exposure Data Table B-13: Resident Po ulation by State, 1997-2006 State Name 1 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Alabama 4,320,281 4,351,037 4,369,862 4,452,375 4,466,618 4,477,571 4,495,089 4,517,442 4,548,327 4,599,030 Alaska 608,846 615,205 619,500 627,533 632,241 640,544 647,747 656,834 663,253 670,053 Arizona 4 4,778,332 1 5,300,366 44 4 Arkansas 2,524,007 2,538,202 2,551,373 2,678,610 2,691,665 2,706,198 2,723,645 2,746,823 2,775,708 2,810,872 California 32,217,708 32,682,794 33,145,121 34,008,499 34,550,466 35,024,517 35,466,365 35,841,254 36,154,147 36,457,549 Colorado 3,891,293 3,968,967 4,056,133 4,327,409 4,428,562 4,500,122 4,545,957 4,598,507 4,663,295 4,753,377 Connecticut 3,268,514 3,272,563 3,282,031 3,412,539 3,433,201 3,457,927 3,482,326 3,493,893 3,500,701 3,504,809 Delaware 735,024 744,066 753,538 786,505 795,450 805,591 816,861 828,762 841,741 853,476 Dist of Columbia 528,752 521,426 519,000 571,042 577,357 578,907 577,476 579,720 582,049 581,530 Florida 14,683,35014,908,23015,111,24416,050,16616,354,72816,682,25016,981,80017,366,59317,768,191 18,089,888 Georgia 7,486,094 7,636,522 7,788,240 8,230,550 8,424,033 8,597,927 8,750,259 8,935,151 9,132,553 9,363,941 Hawaii 1,189,322 1,190,472 1,185,497 1,212,113 1,221,419 1,233,249 1,245,606 1,259,299 1,273,278 1,285,498 Idaho 1,210,638 1,230,923 1,251,700 1,299,811 1,321,446 1,344,266 1,367,428 1,394,524 1,429,367 1,466,465 Illinois 12,011,509 12,069,774 12,128,370 12,440,970 12,524,663 12,595,003 12,649,778 12,713,548 12,765,427 12,831,970 Indiana 5,872,370 5,907,617 5,942,901 6,092,375 6,126,395 6,154,697 6,191,7191 6,223,329 6,266,019 6,313,520 Iowa 2,854,396 2,861,025 2,869 413 2,928,703 2,932 151 2,935,295 2,942,070 2,953 679 2,965,524 2,982,085 Kansas 2,616,339 2,638,667 2,654,052 2,692,947 2,702,446 2,714,792 2,727,042 2,738,356 2,748,172 2,764,075 Kentucky 3,907,816 3,934,310 3,960,825 4,049,260 4,067,643 4,088,977 4,114,489 4,140,427 4,172,608 4,206,074 Louisiana 4,351,390 4,362,758 4,372,035 4,469,529 4,463,421 4,470,543 4,480,925 4,495,706 4,507,331 4,287,768 Maine 1,245,215 1,247,554 1,253,040 1,277,483 1,286,419 1,296,817 1,307,151 1,313,921 1,318,220 1,321,574 Maryland 5,092,914 5,130,072 5,171,634 5,311,695 5,379,795 5,441,3491 5,506,684 5,553,249 5,589,599 5,615,727 Massachusetts 6,115,476 6,144,407 6,175,169 6,362,604 6,406,727 6,431,247 6,439,592 6,435,995 6,433,367 6,437,193 Michigan 9,785,450 9,820,231 9,863,775 9,956,689 10,003,243 10,038,165 10,068,311 10,093,398 10,100,833 10,095,643 Minnesota 4,687,726 4,726,411 4,775,508 4,934,275 4,985,851 5,024,570 5,059,023 5,094,304 5,126,739 5,167,101 Mississippi 2,731,826 2,751,335 2,768,619 2,848,634 2,856,108 2,863,091 2,874,171 2,892,668 2,908,496 2,910,540 Missouri 5,407,113 5,437,562 5,468,338 5,606,5321 5,643,232 5,680,259 5,712,3551 5,752,861 5,797,703 5,842,713 Montana 878,706 879,533 882,779 903,531 906,148 910,357 917,193 926,345 934,737 944,632 Nebraska 1,656,042 1,660,772 1,666,028 1,713,426 1,719,315 1,727,040 1,737,017 1,746,980 1,758,163 1,768,331 Nevada 1 1,675,581 1,743,772 1,809,253 2,018,456 2,095,820 2,169,202 2,241,127 2,332,484 2,412,301 2,495,529 New Hampshire 1,173,239 1,185,823 1,201,134 1,240,664 1,258,408 1,273,970 1,285,918 1,297,961 1,306,819 1,314,895 New Jersey 8,054,178 8,095,542 8,143,412 8,434,216 8,506,516 8,577,514 8,632,553 8,675,879 8,703,150 8,724,560 New Mexico 1,722,939 1,733,535 1,739,844 1,821,6561 1,832,783 1,855,353 1,877,5981 1,900,620 1,925,985 1,954,599 New York 18,143,184 18,159,175 18,196,601 19,000,135 19,095,604 19,167,600 19,238,252 19,291,526 19,315,721 19,306,1831 North Carolina 7,428,6721 7,545,828 7,650,789 8,078,909 8,199,541 8,313,494 8,415,710 8,531,040 8,672,459 8,856,505 North Dakota 640,945 637,808 633,666 641,193 636,349 633,649 632,620 635,848 634,605 635,867 Ohio 11,212,498 11,237,752 11 11,364,401 11.392.043 11 414 7 11 4 7 11 1 7 11,470,685 11,478,006 Oklahoma 3,314,259 3,339,478 3,358,044 3,454,508 3,466,687 3,488,447 3,504,347 3,522,827 3,543,442 3,579,212 Oregon 3,243,254 3,282,055 3,316,154 3,431,530 3,474,183 3,523,529 3,561,155 3,589,168 3,638,871 3,700,758 Pennsylvania 12,015,888 12,002,329 11 994,016 12 286,905 12,295,929 12,321,644 12,351,381 12,377,381 12,405,348 12,440,621 Rhode Island 986,9661 987,704 990,819 1,050,836 1,058,510 1,068,568 1,074,783 1,078,930 1,073,579 1,067,610 South Carolina 3,790,066 3,839,578 3,885,736 4,023,565 4,060,728 4,101,122 4,142,356 4,194,694 4,246,933 4,321,249 South Dakota 730,855 730,789 733,133 755,793 758,106 760,291 763,913 770,188 774,883 781,919 Tennessee 5,378,433 5,432,679 5,483,535 5,703,299 5,746,477 5,788,333 5,834,358 5,885,597 5,955,745 6,038,803 Texas 19,355,427 19,712 389 20,044,141 20,951,848 21,357,926 21,762,430 22,134,047 22,517,901 22,928,508 23,507,783 Utah 2,065,397 2.100.562 21 2,243,490 74 2,325,921 2,355,785 2,421,5004 Vermont 588,665 590,579 593,740 609,986 612,882 616,236 618,616 620,795 622,387 623,908 Virginia 6,732,878 6,789,225 6,872,912 7,104,587 7,192,701 7,285,707 7,375,863 7,472,448 7,564,327 7,642,884 Washinaton 15,687,832 5.756.361 5.912,036 5,995,397 6.070.176 6.130,32316,395,798 L inia 1,815,588 1,811,688 1,806,928 1,807,528 1,801,411 1,804,146 11808,660 1,810,906 1,814,083 1,818,47sin 5,200,235 5,222,124 5,250,446 5,374,747 5,404,733 5,438,527 5,466,929 5,498,807 5,527,644 5,556,506 480,031 480,0451 479,602 494,1661 494,0671 498,973 501,490 505,534 508,7981 515,004 Source:Census Bureau released yearly on July 1. Note:Data in this table and Table A-6 have been used to create Figure 2-3. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 58 Table B-12: Hispanic or Latino population and total U.S. popula ion by year Year. 2000 1 2001 2002 1 2003 2004 2005 Total Population at Survey Time 273,643,2731 277,017,622 280,540,3301 282,909,8851 285,691,5011 288,378,137 Hispanic or Latino 1 34,474,4401 36,200,781 37,872,4751 39.194.8371 40.459,1961 41,870,703 Data Source:U.S.Census Bureau Note:Data in this table has been used to create Figure 4-7 in Pedestrian Information Table B-14:Total crash fatalities total crashes,and vehicle miles traveled by year Year. 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Total Crash Fatalities 42,013 41,501 41,717 41,945 42,196 43,005 42,884 42,836 43,510 42,642 Total Motor Vehicle Crashes 6,624,324 6,335,107 6,279,140 6,393,526 6,322,862 6,315 491 6,328,477 6,181,444 6,159,252 5,973,588 Vehicle Miles Traveled Unit:Billions 2,562 2,632 2,691 2,747 2,797 2,856 2,890 2.965 2.989 3,014 Sources:Traffic Safety Facts 2006,DOT HS 810 818,NHTSA,US DOT, Note:Data in this table has been used to create Figures 1-1,1-3,1-4,1-6,2-3,2-4,2-6,and 2-7. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 59 APPENDIX C NHTSA Operation Regions Figure C-1: NHTSA Operation Regions Map Region ;L � 1 4 Region > i97c w: l .s— Fr �i► ` �.��-' f ILA 1L r L!► � Cj� LL �V F2Cgl©n 4t1r1' ��r -+L-. LC —t Region � � g R ion Regionlil" e9 3 fit i _L�i. Region 1 { = 7Al �!► _ tZ �irr�rLl �v IL; i Region 11_'E L_ Pegion 4 Table C-1: States included in NHTSA operation regions Region# Region Name States in the Region 1 New England Region Connecticut,Maine, Massachusetts,New Hampshire, Rhode Island,and Vermont 2 Eastern Region New Jersey,New York,Pennsylvania, Puerto Rico,and Virgin Islands 3 Mid Atlantic Region Delaware,District of Columbia,Kentucky,Maryland, North Carolina,Virginia,and West Virginia 4 Southeast Region Alabama,Florida,Georgia,South Carolina,and Tennessee 5 1 Great Lakes Region Illinois, Indiana.Michigan, Minnesota,Ohio,and Wisconsin 6 South Central Region Louisiana, Mississippi, New Mexico,Oklahoma,Texas,and Bureau of Indian Affairs 7 Central Region Arkansas, Iowa, Kansas,Missouri,and Nebraska 8 Rocky Mountain Region Colorado, Nevada,North Dakota,South Dakota, Utah,and Wyoming 9 Western Region Arizona,California,Hawaii,and Pacific Territories 10 Pacific Northwest Region Alaska,Idaho, Montana,Oregon,and Washington Source:National Highway Traffic Safety Administration NHTSA s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE.,Washington, DC 20590 60 APPENDIX D References 1. A Compendium of NHTSA's Pedestrian and Bicyclist Traffic Safety Research Projects 1969-2007. Technical Report, DOT HS 810 793. July 2007. Washington, DC: National Highway Traffic Safety Administration. 2. National Survey of Pedestrian&Bicyclist.Attitudes and Behaviors(Highlights Report). U.S. Department of Transportation, 2003. 3. Highlights of the 2001 National Household Travel Survey, Bureau of Transportation Statistics, U.S. Department of Transportation, 2003. 4. Motor Vehicle Traffic Crash Fatality Counts and Estimates of People Injured for Distributions for 2006. Technical Report, DOT HS 810 837. September 2007. Washington, DC: National Highway Traffic Safety Administration. 5. Estimates of Motor Vehicle Traffic Crash Fatalities and People Injured 2006 Projections. Technical Report, DOT HS 810 755. May 2007. Washington, DC: National Highway Traffic Safety Administration. 6. Fitzpatrick, K. Improving Pedestrian Safety at Unsignalized Crossings. New Cooperative Research Programs Report.TR News 251 July-August 2007 7. Pedestrian Roadway Fatalities. Technical Report, DOT HS 809 456.April 2003. Washington, DC: National Highway Traffic Safety Administration. 8. FARS Analytical Reference Guide 1975 to 2006, User Manual. DOT HS 810 605. May 2006. Washington, DC: National Highway Traffic Safety Administration. 9. A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System. Traffic Safety Facts 2006, DOT HS 809 484. Washington, DC: National Highway Traffic Safety Administration. 10. A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System. Traffic Safety Facts 2005, DOT HS 810 631. Washington, DC: National Highway Traffic Safety Administration. 11. Tralhc Safety Facts 2004. DOT HS 809 919. Washington, DC: National Highway Traffic Safety Administration. 12. Pedestrian and Bicyclist Intersection Safety Indices:Final Report FHWA HRT 06125. 2006. Washington, DC: Federal Highway Administration. 13. Child Pedestrian Fatality Rates by Striking Vehicle Body Type. Traffic Safety Facts, Research Note, DOT HS 809 640. September 2003. Washington, DC: National Highway Traffic Safety Administration. 14. Pedestrians 2005 Data. Traffic Safety Facts, DOT HS 810 624. 2006.Washington, DC: National Highway Traffic Safety Administration. 15. Pedestrians 2004 Data. Traffic Safety Facts, DOT HS 809 913. 2005. Washington, DC: National Highway Traffic Safety Administration. 16. Pedestrians 2003 Data. Traffic Safety Facts, DOT HS 809 769. 2004. Washington, DC: National Highway Traffic Safety Administration. 17. Pedestrians 2002 Data. Traffic Safety Facts, DOT HS 809 614. 2003. Washington, DC: National Highway Traffic Safety Administration. 18. Pedestrians 2001 Data. Traffic Safety Facts, DOT HS 809 478. 2002.Washington, DC: National Highway Traffic Safety Administration. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 61 19. Volume 10:A Guide for Reducing Collisions Involving Pedestrians, Guidance for Implementation of the AASHTO Strategic Highway Safety Plan. NCHRP Report 500. 2004. Washington, DC: Transportation Research Board of the National Academies. 20. National Survey of Pedestrian&Bicyclist:Attitudes and Behaviors Highlights Report. 2002. National Highway Traffic Safety Administration&Bureau of Transportation Statistics. 21. Ragland, D.R., Markowitz, F., & MacLeod, K.E. An Intensive Pedestrian Safety Engineering Study Using Computerized Crash Analysis. December 2003. Berkley, CA: Institute of Transportation Studies, UC Berkeley Traffic Safety Center. 22. Journey to Work:2000, Census 2000 Brief. March 2004. U.S. Census Bureau, Washington, DC: Economics and Statistics Administration. 23. Accessible Pedestrian Signals:Synthesis and Guide to Best Practice. No. 278. July 2003. Research Results Digest, National Cooperative Highway Research Program. Washington, DC: Transportation Research Board of the National Academies. 24. Blomberg, R., Jordan, G., Killingsworth, R., &Konheim, C. Pedestrian Transportation:A Look Forward, Transportation in the New Millennium. Washington, DC: Transportation Research Board of the National Academies. 25. Isenberg, R.A., Chidester,A.B., &Mavros, S. Update on the Pedestrian Crash Data Study Paper No.: 98-S6-0-05. DOT/Volpe National Transportation Systems Center, 1996, pp 1212-1225. 26. Jaskiewicz, F. Pedestrian Level of Service Based on Trip Quality TRB Circular E-0019. Urban Street Symposium, 1998, pp G-1/1 -G-1/14. 27. PBCAT-Pedestrian and Bicycle Crash Analysis Tool Version 2.0, Tech Brief. FHWA- HRT-06-090. June 2006. Washington, DC: Federal Highway Administration. 28. Espino, E.R., Gonzalez, J.S., &Gan,A. Identifying Pedestrian High-Crash Locations as Part of Florida's Highway Safety Improvement Program:A Systematic Approach. Paper No. 03-4414. Transportation Research Record 1828, pp 83-84. 29. Status Report, Special Issue: Pedestrian Injuries, Insurance Institute for Highway Safety, Vol. 34, No. 3, March 13, 1999. 30. Status Report,Vol.35, No. 5. Insurance Institute for Highway Safety, May 13,2000, pp 2-6. 31. Status Report,Vol.35, No.9. Insurance Institute for Highway Safety,October 21,2000,p 6. 32. Status Report, Vol.37, No. 3. Insurance Institute for Highway Safety, March 16, 2002,p 7. 33. Status Report,Vol.39, No.6. Insurance Institute for Highway Safety, July 3,2004, pp 4-5. 34. Clifton, K.J., &Krizek, K.J. The Utility of the NHTS in Understanding Bicycle and Pedestrian Travel, NHTS-Bicycle and Pedestrian Travel, Nov 1, 2004, pp 1-17. 35. Improving Pedestrian Access to Transit,An Advocacy Handbook.WalkBoston, 1998. 36. Transitioning to Multiple Imputation - A New Method to Impute Missing Blood Alcohol Concentration (BAC) values in FARS Technical Report, DOT HS 807 403. October 2002. Washington, DC: National Highway Traffic Safety Administration. 37. America by the Numbers, Time, Time Inc., October 2006. 38. Pulugurtha, S.S., Krishnakumar, V.K., &Nambisan, S.S. New methods to identify and rank high pedestrian crash zones:An illustration. Accident Analysis and Prevention,Vol. 39, July 2007, pp 800-811. 39. Lassarre, S., Papadimitdou, E., Yannis, G., &Golias, J. Measuring accident risk exposure for pedestrians in different micro-environments.Accident Analysis and Prevention,Vol. 39, November 2007, pp 1226-1238. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 62 40. Minino,A.M., Heron, M.P., Murphy, S.L., &Kochanek, K.D. Deaths:Final Data for2004. National Vital Statistics Reports, Vol.55, No. 19,August 21, 2007. 41. Trend and Pattern Analysis of Highway Crash Fatality by Month and Day. Technical Report, DOT HS 809 855. March 2005. Washington, DC: National Highway Traffic Safety Administration. 42. Vasudevan,V., Pulugurtha, S. S., & Nambisan, S. Methods to Prioritize Pedestrian High- Crash Locations and Statistical Analysis of Their Relationships.Transportation Research Record: Journal of the Transportation Research Board, No. 2002, 2007, pp 39-54. 43. Siddiqui, N.A., Chu,X., &Guttenplan, M. Crossing Locations, Light Conditions, and Pedestrian Injury Severity.Transportation Research Record: Journal of the Transportation Research Board, No. 1982, 2006, pp 141-149. 44. Geyer, J., Raford, N., Pham, T., &Ragland, D. R. Safety in Number, Data from Oakland, California.Transportation Research Record: Journal of the Transportation Research Board, No. 1982, 2006, pp 150-154. NHTSA's National Center for Statistics and Analysis,1200 New Jersey Avenue SE.,Washington,DC 20590 63 DOT HS 810 968 June 2008 1 �r U.S. Department of Transportation National Highway Traffic Safety NHTSA Administration www.nhtn.gov Newspaper Vendor Killed In Hit-run Is Identified Sun-Sentinel October 4, 20061 Staff report Police released the name of a homeless newspaper vendor struck and killed by a hit and run driver last weekend. Michael Covey, 41, was hit by a light-colored Nissan Sentra that sped through the intersection at Miramar Parkway and State Road 7,went over a concrete median and hit the homeless man as he sold The Miami Herald Sunday,police said. Investigators hope that identifying the man will help them find his next of kin, said traffic homicide investigator John Barber said Tuesday. Police are also looking for the driver of the Sentra, which was made between April 2003 and 2006, Barber said. Police identified the make and model of the car from pieces left at the scene, which also indicate that the car had heavy damage to its front end. It also is possible that the car's windshield was damaged and at least one tire was flat, Barber said. Anyone with information is asked to call Miramar Police at 954-6024000. MEAN STREETS 0 MAaw + 200 "" - �•�Il 1 I+sR so 74 t sm How FAR HAVE - - Ot =� e es ri r . a ae1994 - t 2003 Michelle Ernst Surface Transportation Policy Project ,� ' November 2004 + r . 1 IF _ 1p ` Al 2004MIM* • Acknow/edgemen& Mean Streets 2004 was written by Michelle Ernst, with editorial and analytical assistance provided by Linda Bailey, Anne Canby, and Kevin McCarty. The data extraction, research design, and data analysis for this report was conducted by Michelle Ernst and Linda Bailey. The Mean Streets 2004 website was built by Corey Twyman. The authors would like to thank Dan Burden, f u den o Walkable Communities, Inc. (www.walkable.org) for the photographs appearing in the report and on the report cover. STPP wishes to acknowledge support for its work from the Surdna Foundation, the Joyce Foundation, the Ford Foundation, the Rockefeller Foundation, the McKnight Foundation, the Prince Charitable Trusts, the George Gund Foundation, the Fannie Mae Foundation, The Pittsburgh Foundation, the Heinz Foundation, the William Penn Foundation, the Funders Network for Smart Growth and Livable Communities, and the generous contributions from our supporters. This report, as well as state-by-state fact sheets based on this report, is available online at http://www.transact.org. Tab/e o1 cafftents Executive Summary 5 Introduction 11 The Trend in Pedestrian Safety in America's Metro Areas 13 Where Pedestrians Are Dying 16 Streets Designed for Speed, Not People 19 The Role of Race and Ethnicity in 20 Pedestrian Fatalities Child Pedestrians 22 Walking for Health 24 Walkers' Safety Not a Spending Priority 25 Recommendations for State and Federal 30 Action Methodology 33 Resources 35 EX@CVV Ve SNMAFary America's streets are growing meaner for pedestrians The Surface Transportation Policy Project has been reporting on pedestrian fatalities in the United States for ten years now. Our first report, produced with Environmental Working Group and published in 1996, examined pedestrian fatalities for the period 1986 through 1995. Since that first Mean Streets was published, STPP has issued three updates, each looking at a two-year period. This year, STPP is taking the opportunity with the publication of our fifth edition of Mean Streets to reflect on the trends in pedestrian safety over the past decade. A total of 51,989 pedestrians have died over the ten years from 1994 through 2003. In raw numbers, pedestrian fatalities have declined over this period by approximately 12.8 percent. This is good news, except when you consider that the rates of walking have declined even faster. The U.S. Census Bureau's decennial data on commuting provides the most reliable benchmark of walking over time. According to that data set, the percentage of commuters who walked to work declined by 24.9 percent from 1990 to 2000. In fact, walking is by far the most dangerous mode of travel per mile. Although only 8.6 percent of all trips are made on foot, 11.4 percent of all traffic deaths are pedestrians. And while the 2001 fatality rate per 100 million miles Fatality rate per traveled is 0.75 for public transit riders, 1.3 for 100 million miles traveled drivers and their passengers, 7.3 for Public transit 0.75 passengers of commercial airlines', the fatality Passenger cars and trucks 1.3 rate for walkers is an astonishing 20.1 deaths Commercial airlines' 7.3 per 100 million miles walked. Walking 20.1 Yet, across the country, there is some decidedly good news for pedestrian safety. Many metropolitan areas, some prompted by STPP's Mean Streets reports, have taken steps to make their regions more walkable. Upon his election in 1999, Salt Lake City Mayor Rocky Anderson elevated pedestrian safety and walkability to among his adminstration's highest priorities. His safety campaign and other efforts have proven effective, with pedestrian fatalities in the Salt Lake City area declining by more than 44 percent. Unfortunately, not all areas have followed Salt Lake City's lead. Pedestrian safety continues to worsen in many metro areas. This report takes a hard look at the ' This figure is unusually high because it includes airline passengers who died during the September 11, 2001 terrorist attacks. Fatality rates in previous and more recent years range from 0 to 1.2. 5 trends across the country and identifies the metro areas where the streets have grown meaner, as well as those where the streets have become friendlier to walkers. The Pedestrian Danger Index (PDI) shows where it is most dangerous to step out of your door to take a walk. It looks at the rate of pedestrians deaths, relative to the amount that people walk in a given metro area. In order to assess whether pedestrian safety has improved or worsened over the past ten years, STPP calculated a PDI for the period 1994 to 1995 and for the period 2002 to 2003, and looked at the change in those two figures. According to this analysis, pedestrian safety has improved markedly in the following large metropolitan areas: Salt Lake City; Portland; Austin; New Orleans; Los Angeles; Dallas-Ft. Worth; Norfolk-Virginia Beach; San Francisco; Hartford; and Phoenix. In contrast, the large metropolitan areas which have seen their streets grow meaner are: Orlando; Richmond, VA; Memphis; Denver; Grand Rapids, MI; Columbus, OH; Pittsburgh; Buffalo; West Palm Beach; and Tampa-St. Petersburg-Clearwater. (Please note that the Pittsburgh area ranks very low in its PDI.) 1994-1995 2002-2003 PDI Metropolitan Area PDI PDI Chan e Metro areas with the greatest improvements in pedestrian safety Salt Lake City-Ogden, UT MSA 106.2 59.3 -44.2% Portland-Salem, OR-WA CMSA 64.3 43.0 -33.1% Austin-San Marcos, TX MSA 77.0 61.9 -19.6% New Orleans, LA MSA 101.9 82.5 -19.1% Los Angeles-Riverside-Orange County, CA CMSA 101.3 82.5 -18.6% Dallas-Fort Worth, TX CMSA 123.1 103.7 -15.8% Norfolk-Virginia Beach-Newport News, VA-NC MSA 46.6 40.5 -13.3% San Francisco-Oakland-San Jose, CA CMSA 56.7 49.4 -12.9% Hartford, CT NECMA 56.9 49.5 -12.9% Phoenix-Mesa, AZ MSA 133.2 117.2 -12.0% Metro areas with the greatest declines in pedestrian safety Orlando, FL MSA 111.8 243.6 117.9% Richmond-Petersburg, VA MSA 41.4 70.5 70.4% Memphis, TN-AR-MS MSA 111.6 159.1 42.6% Denver-Boulder-Greeley, CO CMSA 46.3 64.9 40.0% Grand Rapids-Muskegon-Holland, MI MSA 55.0 75.8 37.8% Columbus, OH MSA 30.1 40.9 35.9% Pittsburgh, PA MSA 21.6 29.3 35.8% Buffalo-Niagara Falls, NY MSA 41.5 55.8 34.5% West Palm Beach-Boca Raton, FL MSA 163.5 209.9 28.3% Jam pa-St Petersbur -Clearwater FL MSA 169.8 215.3 26.8% America's meanest streets 4,827 people died in the year 2003 while walking down the street in the United States, down slightly from the toll of 4,919 in 2002. An estimated 70,000 pedestrians were injured in traffic crashes during each of those two years. In addition to the ten-year pedestrian safety 6 trend analysis, this report looks at where Americans are dying as pedestrians, what makes the streets dangerous for those on foot, and how the states are responding to those dangers. The PDI shows that the most dangerous places to walk are metropolitan areas marked by newer, low-density developments, where wide, high-speed arterial streets offer few sidewalks or crosswalks. The most dangerous metropolitan area for walking in 2002/2003 was Orlando, followed by Tampa, West Palm Beach, Miami- Ft. Lauderdale, Memphis, Atlanta, Greensboro, NC, Houston, Jacksonville, FL, and Phoenix. Lack of investment Unfortunately, few federal transportation dollars are being spent on pedestrian safety in many of the metro areas most in need of improvement. In a separate analysis, STPP reviewed expenditures of federal transportation funds over the last twelve years (fiscal years 1992 through 2003), and found that in four of the top ten areas - Columbus, Denver, Memphis and West Palm Beach - showing the greatest declines in pedestrian safety, state spending of federal dollars on creating a safe walking environment actually declined over time. During the most recent spending period (under the federal surface transportation law, which covered fiscal years 1998 through 2003), funds expended in six of these metropolitan areas was well below the national average of 82 cents per person each year. In fact, spending in the ten areas listed above was still below the national average, at 73 cents per person for pedestrian facilities or safety programs. Because state Departments of Transportation typically control the vast majority of federal funds (94 cents of every federal transportation dollar), federally-funded roads have tended to be designed and built with little regard to local needs. This often results in wide, high-speed arterials (the type of roads that the state DOTs are most familiar with) running through towns and neighborhoods. Unfortunately, these are the same roads which are the most deadly for pedestrians. STPP's analysis shows that the states are not investing enough of their federal transportation dollars to protect people who walk. While 11.4 percent of all traffic deaths are pedestrians (12.9 percent if bicyclists are included), less than one percent (0.9 percent) of federal transportation construction, operations, and maintenance funds are spent to ensure a safe walking environment. No state spends more than 2.5 percent of their federal transportation funds on sidewalks, crosswalks, traffic calming, speed humps, multi-use paths, or safety programs for pedestrians or cyclists. This is in spite of a more than 40 7 percent increase in federal transportation dollars to the states in the last six years, and regulations that make it easier to use what were once "highway funds" on a wider variety of transportation projects, including transit improvements and pedestrian facilities that support transit and other users. In addition, over the past 12 years the states have lost the opportunity to spend $1.69 billion on bicycle and pedestrian projects available through federal law. The program, Transportation Enhancements, is designed to support bicycle and pedestrian projects, among other investments. Many states have chosen to leave this money on the table rather than do the projects that could make walking and bicycling safer for everyone. Communities with streets built for speed, not people Rather than investing in pedestrian safety, many state departments of transportation often choose to build roads that turn out to be dangerous for people on foot. In looking at the types of roads on which pedestrians are killed, STPP's analysis found that 14.6 percent of pedestrians deaths occur on Interstates, freeways, and expressways, 31.1 percent on other principal arterials, 20.8 percent on minor arterials, 11.9 percent on collectors, and 21.6 percent on local roads. The deadliest roads tend to be high-speed arterials, with few accommodations or protections - such as sidewalks or crosswalks - for pedestrians. Overall, the nation's transportation networks have been largely designed to facilitate high speed automobile traffic, treating our communities and pedestrian safety particularly as an afterthought. Streets designed with wide travel lanes and expansive intersections have been the norm or local zoning and parking requirements that don't account for pedestrians and public transportation riders is too often standard practice. Private sector actors routinely design malls, shopping centers and housing for automobile access, without suitable facilities for pedestrians, bicyclists or transit users. Importantly, communities with a good design and a focus on features that support travel options from the start don't have to be fixed later, reducing the dangers to pedestrians today and into the future. People at higher risk For the first time, the federal fatality statistics include a look at the racial and ethnic background of those killed. While the record is not complete (race data is not available for 27 percent of deaths, and 8 ethnicity data is not available for 28 percent of deaths), it does show that ethnic and racial minorities are over-represented in pedestrian deaths. African-Americans make up 19 percent of pedestrian deaths, even though they represent just 12.7 percent of the total population. Children also face higher risks as pedestrians. Pedestrian injury is the third leading cause of unintentional injury-related death among children ages 5 to 14. This is true even though the evidence shows that fewer children are walking. Only about 14 percent of children's trips to school are made on foot, down from 50 percent in 1969. Forty percent of parents asked about the barriers to children walking to school cited traffic as a major concern. About 70 percent of children's J trips are made in the back seat of a car. The health risk of walking less While walking presents some dangers, not walking may hold more hazards. As children have been walking less, the percentage of children who are obese or overweight has soared. The same is true for adults: the portion of people who walk to work dropped by 25 percent between 1990 and 2002, at the same time that the percentage of the population who are obese jumped 70 percent. The Surgeon General's Call to Action on the obesity epidemic calls for providing safe and accessible sidewalks, walking, and bicycle paths. Physical inactivity is also associated with a heightened risk for many diseases, including heart disease, diabetes and pancreatic and breast cancer. The medical costs of physical inactivity are estimated at about $76 billion per year. Meanwhile, the federal transportation program, which weighs in at about $46 billion per year, spends less than one percent of that - about $240 million annually - on creating safer places to walk and bicycle. Automobile-oriented transportation networks are sometimes so seamless that commuters can go directly from the garages of their homes to the basements in their worksites without so much as a short walk. The same attention needs to be directed to making other trips more seamless, including the pedestrian, bicycle and transit facilities that both encourage walking and make walking safer. This means wider sidewalks (if there are sidewalks at all), improved lighting, safe crossings and attractive transit wait areas can combine to improve the experience of walking. Community designs that emphasize other travel options - walking, biking and transit - are needed to support additional activity and better health. 9 Recommendations for state and federal action Americans strongly support greater investment and commitment to pedestrian safety. More than two-thirds (68 percent) of Americans favor putting more federal dollars toward improving walkability, even within a constrained budget.2 The effort to create a better walking environment would be much more effective if local, state and federal transportation agencies embraced walking as a transportation priority by taking the following actions: Desian-Related • Fix What We Have to correct the many deficiencies that now exist in the nation's transportation infrastructure, by developing pedestrian action plans, adopting "fix-it-first" policies, establishing Safe Routes to School programs, ensuring a "fair share" commitment of transportation funds to pedestrian safety needs and giving more funding to local agencies who own most of the federal-aid and other system roads. • Complete Streets so that transportation projects at every level of government - Federal, State and local - provide appropriate facilities and accommodations to serve pedestrians, bicyclists and transit users. Operations • Tame Motor Vehicle Traffic by ensuring safer motor vehicle operation, removing unsafe drivers from the roads and deploying new technologies to enhance enforcement such as photo speed enforcement and so-called red-light cameras. • Promote Walking by emphasizing the public health, economic development, and transportation benefits of walking, including more focused attention and greater resource commitments to encourage people of all ages to walk more. Z American's Attitudes Toward Walking and Creating Better Walking Communities,April 2003. Conducted by Belden Russonello&Stewart Research and Communications for the Surface Transportation Policy Project. <www.transact.org/report.asp?id=205> 10 /ntrodaction In 2003 4,827 Americans died while crossing the street, walking to school or work, going to a bus stop, or strolling to the grocery, among other daily routines. The National Highway Traffic Safety Administration (NHTSA) estimates that 70,000 more were injured; on average a pedestrian is killed or injured in a traffic crash every 7 minutes. These seemingly safe, everyday acts ended the lives of more than 450 children under the age of 16 in 2003. This report analyzes 4.,827 ten years of data from the Fatality Analysis Reporting System (FARS) pedestrians maintained by NHTSA to determine which metropolitan areas and states have grown more dangerous for walkers, as well as which have were killed in become safer for pedestrians. The report also uses the most recent 2003; 461 of two years of FARS data to learn where pedestrians are dying, and why. Finally, it looks at the investment in pedestrian safety through those killed analysis of state spending patterns of federal highway funds, which are were children recorded in the Fiscal Management Information System (FMIS) maintained by the Federal Highway Administration. under the age During the two-year period 2002 through 2003, raw pedestrian of 16 fatalities declined by 13.5 percent over the two-year period 1994 and 1995, over the ten-year period. Likewise, the pedestrian fatality rate declined from 2.14 deaths per 100,000 persons during the 1994-1995 period, to 1.68 deaths per 100,000 persons in the 2002-2003 period, a drop of more than 21 percent. This is undoubtedly a significant decrease in pedestrian deaths. That being said, the improvement must be taken with a grain of salt, and considered relative to the evidence suggesting that fewer people are walking regularly. U.S. Census Bureau figures on how Americans travel to work shows that the share of work trips made on foot declined by 24.9 percent in the last decade. In 1990, nearly 4.5 million Americans walked to work. Ten years later, in 2000, that figure declined to 3.8 million. In fact, p applying STPP's methodology for the PDI (which examines per capita * 3 z. pedestrian fatalities relative to the = amount of walking) at the national level, America's streets actually got meaner over the last decade, with the national PDI growing from 54.8 during the 1994-1995 period to - 57.5 in the 2002-2003 period. - In what may be a vicious circle, the x - decline in walking can be attributed — - - to the decline in safe, convenient Photo by Dan Burden 11 and inviting places to walk, to underinvestment in safe pedestrian facilities, and to the increasing number of Americans living in places where walking is more dangerous. More and more Americans are living in sprawling suburban and exurban areas where walking is difficult at best. From 1990 to 2000, according to the Census, the number of people living on the edge of metropolitan areas grew by 18 percent. These areas are generally characterized by wide arterial streets with fast-moving traffic, few sidewalks or crosswalks, and stores, shops, and offices accessible only by car. These are also the environments that this report shows are the most deadly for walkers. 12 The Trend in Pedestrian Safety in America's Metro Areas The streets in some metro areas have grown safer for pedestrians over the last decade. Yet, in many of America's sprawling metro areas, the streets are getting meaner for pedestrians. Even as walking declines in these areas, the pedestrian fatality rate per capita has increased or stayed constant. These two factors are combined as STPP's Pedestrian Danger Index (PDI), a measure of the average yearly pedestrian fatalities per capita, adjusted for the number of walkers.3 The PDI gives us a measure of pedestrian fatalities that controls for exposure to walking4, and allows for a comparison of the risk to pedestrians across metro areas, and across time. In order to examine how pedestrian safety has improved or worsened in metro areas over the last decade, STPP has calculated a PDI for each metro area for the period 1994 to 1995 and also for the period 2002 to 2003, and calculated the change in these values for each metro area. A positive value indicates that pedestrian safety has declined, while a negative value indicates an improvement in pedestrian safety. Streets get meaner in sprawling metro areas Altogether, 30 of the nation's 50 largest metropolitan areas saw their streets grow meaner to pedestrians in the last decade. The ten metro areas (over 1 million population) which have seen the greatest declines in pedestrian safety past decade are Orlando POI over the p � Metropolitan Area Change Richmond, VA, Memphis, Denver, Grand Orlando, FL MSA 117.9% Rapids, MI, Columbus, OH, Pittsburgh, Richmond-Petersburg, VA MSA 70.4% Memphis, TN-AR-MS MSA 42.6% Buffalo, West Palm Beach, and Tampa- Denver-Boulder-Greeley, CO CMSA 40.0% St. Petersburg-Clearwater. Table 1 Grand Rapids-Muskegon-Holland, MI MSA 37.8% below lists all of the large metro areas Columbus, OH MSA 35.9% Pittsburgh, PA MSA 35.8% with worsening pedestrian safety. Buffalo-Niagara Falls, NY MSA 34.5% West Palm Beach-Boca Raton, FL MSA 28.3% Tampa-St Petersburg-Clearwater, FL MSA 26.8% 3 The number of walkers acts as a measure of exposure to the risk of being killed as a pedestrian. It is derived from the 2000 Decennial Census Journey-to-Work data on the share of workers walking to work. 4 The Census Journey-to-Work data is limited in that it provides information only on the mode people choose most often to travel to and from work. A better measure of exposure would include all types of trips (including to the store, to school, to the subway, etc.), as well as trips taken by the non-usual mode. Unfortunately a good, nationwide source of that data at the metro area level is not available. 13 Table 1. Large Metro Areas with Worsening Pedestrian Safety 1994-1995 2002-2003 Metropolitan Area PDI PDI Change Orlando, FL MSA 111.8 243.6 117.9% Richmond-Petersburg, VA MSA 41.4 70.5 70.4% Memphis, TN-AR-MS MSA 111.6 159.1 42.6% Denver-Boulder-Greeley, CO CMSA 46.3 64.9 40.0% Grand Rapids-Muskegon-Holland, MI MSA 55.0 75.8 37.8% Columbus, OH MSA 30.1 40.9 35.9% Pittsburgh, PA MSA 21.6 29.3 35.8% Buffalo-Niagara Falls, NY MSA 41.5 55.8 34.5% West Palm Beach-Boca Raton, FL MSA 163.5 209.9 28.3% Tampa-St Petersburg-Clearwater, FL MSA 169.8 215.3 26.8% Detroit-Ann Arbor-Flint, MI CMSA 90.9 111.3 22.4% San Antonio, TX MSA 67.3 82.1 22.0% Jacksonville, FL MSA 99.6 120.7 21.2% Minneapolis-St Paul, MN-WI MSA 32.6 39.4 20.9% Rochester, NY MSA 29.6 34.8 17.7% Houston-Galveston-Brazoria, TX CMSA 105.5 121.9 15.5% Oklahoma City, OK MSA 75.3 85.4 13.5% Milwaukee-Racine, WI CMSA 32.3 36.1 11.6% Philadelphia-Wilmington-Atlantic City, PA- NJ-DE-MD CMSA 43.3 48.3 11.4% I Kansas City, MO-KS MSA 90.8 100.3 10.4% San Diego, CA MSA 62.9 68.7 9.2% Charlotte-Gastonia-Rock Hill, NC-SC MSA 95.3 103.9 9.0% Raleigh-Durham-Chapel Hill, NC MSA 73.8 80.2 8.7% St Louis, MO-IL MSA 89.9 95.0 5.7% New Haven-Bridgeport-Stamford- ° Waterbury-Danbury, CT NECMA 47.2 49.8 5.7/o Sacramento-Yolo, CA CMSA 93.2 95.9 2.9% Greensboro--Winston-Salem--High Point, 2 6% NC MSA 119.3 122.5 Louisville, KY-IN MSA 76.9 78.1 1.5% Washington-Baltimore, DC-MD-VA-WV 0 7% CMSA 58.8 59.2 Seattle-Tacoma-Bremerton, WA CMSA 42.8 43.0 0.6% 14 Streets get safer in metro areas committed to pedestrian safety Though nationwide pedestrian safety has declined over the past decade, there are a number of bright spots across the country, metro areas where pedestrian fatalities have declined relative to the rate of walking. Table 2 below lists the large metro areas in which pedestrian safety has improved in the last ten years. Table 2. Large Metro Areas with Improving Pedestrian Safety 1994-1995 2002-2003 : Metropolitan Area PDI PDI Change Salt Lake City-Ogden, UT MSA 106.2 59.3 -44.2% Portland-Salem, OR-WA CMSA 64.3 43.0 -33.1% Austin-San Marcos, TX MSA 77.0 61.9 -19.6% New Orleans, LA MSA 101.9 82.5 -19.1% Los Angeles-Riverside-Orange County, CA 101.3 82.5 -18.6% CMSA Dallas-Fort Worth, TX CMSA 123.1 103.7 -15.8% Norfolk-Virginia Beach-Newport News, 46.6 40.5 -13.3% VA-NC MSA San Francisco-Oakland-San Jose, CA 56.7 49.4 -12.9% CMSA Hartford, CT NECMA 56.9 49.5 -12.9% Phoenix-Mesa, AZ MSA 133.2 117.2 -12.0% New York-Northern New Jersey-Long 37.9 33.4 -11.8% Island, NY-NJ-CT-PA CMSA Indianapolis, IN MSA 80.9 71.5 -11.6% Miami-Fort Lauderdale, FL CMSA 184.7 166.3 -9.9% Cleveland-Akron, OH CMSA 33.2 30.2 -9.0% Las Vegas, NV-AZ MSA 124.7 115.0 -7.8% Atlanta, GA MSA 156.6 144.4 -7.8% Nashville,TN MSA 100.0 93.0 -7.0% Boston-Worcester-Lawrence-Lowell- 26.4 25.4 -3.8% Brockton, MA-NH NECMA Cincinnati-Hamilton, OH-KY-IN CMSA 35.3 34.6 -1.90/0 Chicago-Gary-Kenosha, IL-IN-WI CMSA 53.3 53.3 -0 10/0 15 Where Pedestrians Are Dying In addition to looking at the trend in pedestrian safety over time, STPP also examined how metro areas compare to each other in the most recent time period, 2002 through 2003. Once again, we used the PDI to evaluate the risk of pedestrian death relative to the amount of walking in each metro area. According to the Pedestrian Danger Index, the top ten most dangerous large metro areas for walking in 2002-2003 were: Orlando; Tampa-St. Petersburg-Clearwater; West Palm Beach-Boca Raton; Miami-Ft. Pedestrian Lauderdale; Memphis; Atlanta, Danger Greensboro-Winston Salem-High Metro Area Index Point, NC; Houston-Galveston- 1 Orlando, FL 243.6 Brazoria; Jacksonville; and Phoenix- 2 Tampa-St Petersburg-Clearwater, FL 215.3 Mesa. Orlando's pedestrian death 3 West Palm Beach-Boca Raton, FL 209.9 rate of 3.15 deaths per 100,000 4 Miami-Fort Lauderdale, FL 166.3 persons is remarkable given that its 5 Memphis, TN-AR-MS 159.1 6 Atlanta, GA 144.4 walk-to-work rate, 1.3 percent, is Greensboro--Winston-Salem--High well below the national average. 7 1225 Point, NC . This combination of a high death 8 Houston-Galveston-Brazoria, TX 121.9 rate, and low rate of walking, gives 9 Jacksonville, FL 120.7 Orlando the top PDI ranking among 10 Phoenix-Mesa, AZ 117.2 large metro areas. The most dangerous metro areas, all located in the South or West, tend to be marked by lower density development patterns, which include wide, high-speed arterials that are particularly hazardous for walking. Most experienced rapid population growth in the latter half of the 20th Century when development was designed to facilitate fast- moving automobile traffic and new growth tended to follow new highways away from the central city. In fact, a report from Smart Growth America found that 50 percent fewer commuters walk to work in sprawling areas like the ones listed above.s And the PDI indicates that when they do walk to work, they face a higher level of risk. Table 3 below lists the nation's 50 largest metro areas, ranked according to their PDI. 5 According to that report, about 2 percent of commuters walk to work in sprawling metro areas, compared to 3.1 percent in less sprawling metro areas. Reid Ewing, Rolf Pendall, and Don Chen. Measuring Sprawl and Its Impact. October 2002. <www.smartgrowthamerica.org/sprawlindex/sprawlindex.html> 16 Table 3. The Most Dangerous Large Metro Areas for Pedestrians (over 1 million residents) Average Annual Percent of Pedestrian Deaths Workers per 100,000 Walking to Pedestrian Capita Work Danger Metro Area 2002-2003 2000 Index 1 Orlando, FL MSA 3.15 1.3% 243.6 2 Tampa-St Petersburg-Clearwater, FL MSA 3.69 1.7% 215.3 3 West Palm Beach-Boca Raton, FL MSA 2.86 1.4% 209.9 4 Miami-Fort Lauderdale, FL CMSA 2.94 1.8% 166.3 5 Memphis,TN-AR-MS MSA 2.07 1.3% 159.1 6 Atlanta, GA MSA 1.83 1.3% 144.4 7 Greensboro--Winston-Salem--High Point, NC MSA 1.90 1.6% 122.5 8 Houston-Galveston-Brazoria, TX CMSA 1.97 1.6% 121.9 9 Jacksonville, FL MSA 2.02 1.7% 120.7 10 Phoenix-Mesa, AZ MSA 2.44 2.1% 117.2 11 Las Vegas, NV-AZ MSA 2.74 2.4% 115.0 12 Detroit-Ann Arbor-Flint, MI CMSA 2.03 1.8% 111.3 13 Charlotte-Gastonia-Rock Hill, NC-SC MSA 1.26 1.2% 103.9 14 Dallas-Fort Worth, TX CMSA 1.53 1.5% 103.7 15 Kansas City, MO-KS MSA 1.36 1.4% 100.3 16 Sacramento-Yolo, CA CMSA 2.08 2.2% 95.9 17 St Louis, MO-IL MSA 1.54 1.6% 95.0 18 Nashville, TN MSA 1.40 1.5% 93.0 19 Oklahoma City, OK MSA 1.44 1.7% 85.4 20 Los Angeles-Riverside-Orange County, CA CMSA 2.11 2.6% 82.5 21 New Orleans, LA MSA 2.24 2.7% 82.5 22 San Antonio, TX MSA 1.94 2.4% 82.1 23 Raleigh-Durham-Chapel Hill, NC MSA 1.84 2.3% 80.2 24 Louisville, KY-IN MSA 1.34 1.7% 78.1 25 Grand Rapids-Muskegon-Holland, MI MSA 1.56 2.1% 75.8 26 Indianapolis, IN MSA 1.20 1.7% 71.5 27 Richmond-Petersburg, VA MSA 1.31 1.9% 70.5 28 San Diego, CA MSA 2.33 3.4% 68.7 29 Denver-Boulder-Greeley, CO CMSA 1.54 2.4% 64.9 30 Austin-San Marcos, TX MSA 1.29 2.1% 61.9 31 Salt Lake City-Ogden, UT MSA 1.09 1.8% 59.3 32 Washington-Baltimore, DC-MD-VA-WV CMSA 1.76 3.0% 59.2 33 Buffalo-Niagara Falls, NY MSA 1.51 2.7% 55.8 34 Chicago-Gary-Kenosha, IL-IN-WI CMSA 1.67 3.1% 53.3 35 New Haven-Bridgeport-Stamford-Waterbury-Danbury, 1.35 2.7% 49.8 CT NECMA 36 Hartford, CT NECMA 1.24 2.5% 49.5 37 San Francisco-Oakland-San Jose, CA CMSA 1.61 3.3% 49.4 38 Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD 1.87 3.9% 48.3 CMSA 39 Portland-Salem, OR-WA CMSA 1.28 3.0% 43.0 40 Seattle-Tacoma-Bremerton, WA CMSA 1.36 3.2% 43.0 41 Columbus, OH MSA 0.97 2.4% 40.9 42 Norfolk-Virginia Beach-Newport News, VA-NC MSA 1.08 2.7% 40.5 43 Minneapolis-St Paul, MN-WI MSA 0.96 2.4% 39.4 44 Milwaukee-Racine, WI CMSA 1.00 2.8% 36.1 45 Rochester, NY MSA 1.23 3.5% 34.8 46 Cincinnati-Hamilton, OH-KY-IN CMSA 0.80 2.3% 34.6 47 New York-Northern New Jersey-Long Island, NY-NJ- 1.94 5.8% 33.4 CT-PA CMSA 48 Cleveland-Akron, OH CMSA 0.65 2.1% 30.2 49 Pittsburgh, PA MSA 1.05 3.6% 29.3 50 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH 1.02 4.0% 25.4 NECMA 17 Florida's Older Pedestrians Five of the six most dangerous metro areas for walking are in Florida, known as a haven for retirees. Is there a connection? An analysis of the pedestrian fatality statistics by STPP reveals that the portion of elderly people dying as pedestrians in Florida is not out of line with the national average. Seventeen percent of pedestrian deaths in Florida in the years studied were elderly people (70 years and older), the same as the national average of 17.0 percent. Almost half of the states had rates higher than Florida's. In fact, over one-quarter of all pedestrian deaths in North Dakota, Hawaii, Vermont, Maine, West Virginia, and Massachusetts were elderly. The PDI was developed by STPP to allow a fair comparison of metro areas according to their risk to pedestrians, relative to how much an ordinary person walks in that metro area. However, in some communities, even those which are not rated as the most 'dangerous" according to the PDI, pedestrian deaths represent an unusually high portion of all traffic deaths. The New York metropolitan area, with an average of 386 pedestrian deaths annually, has the highest absolute number of pedestrian deaths of any metropolitan area in the U.S. However, with nearly 20 million people now residing within its boundaries, the pedestrian fatality rate Percent of per 100,000 Number Number Traffic persons averages of Ped of Ped Deaths that 1.9. And with the Fatalities Fatalities Were Metro Area 2002 2003 Pedestrians highest portion of 1 New York-Northern New Jersey- 395 377 28.3% commuters walk- Long Island, NY-NJ-CT-PA ing to work of any 2 Miami-Fort Lauderdale, FL 119 119 22.8% large metropolitan 3 San Diego, CA 74 62 22.5% San Francisco-Oakland-San Jose area, the relative 4 CA 118 110 21.7% risk to pedestrians 5 Los Angeles-Riverside-Orange 355 369 21.3% In the New York County, CA metro area is the 6 Tampa-St Petersburg-Clearwater, 97 88 21.1% FL fourth lowest In 7 Detroit-Ann Arbor-Flint, MI 119 105 20.2% the country. 8 Buffalo-Niagara Falls, NY 17 18 19.9% 9 Chicago-Gary-Kenosha, IL-IN-WI 155 157 19.1% Even so 10 Seattle-Tacoma-Bremerton, WA 45 55 18.5% ' pedestrians make up a high percentage of all traffic deaths in New York - 28 percent, more than twice the national average. In communities with such a high portion of pedestrian deaths, pedestrian safety merits proportional public safety attention. The table above lists the metro areas with the highest percentage of pedestrian deaths. 18 Streets Designed for Speed, Not People Perhaps the best way to understand why these metropolitan areas are so hazardous is to take a closer look at the types of streets where most pedestrians are killed. Wide roads, speeding traffic, and a lack of crosswalks or sidewalks can make walking a deadly activity. A 2002 report from the Federal Highway Administration (FHWA) states that while 95 percent of pedestrians are likely to survive being struck by a vehicle traveling at 20 miles per hour, only 15 percent are likely to live through a collision with a vehicle traveling at 40 mph.6 STPP's analysis of the FARS database revealed that most pedestrians were killed on arterial roads. Just 14.6 percent of pedestrians were killed on Interstates, freeways, or expressways. 33.5 percent were killed on collectors and local roads and streets. But nearly 52 percent of the 9,648 pedestrians killed (for whom location data was recorded) in 2002 and 2003 died on principal or minor arterials. In addition, a broad look at all pedestrian deaths shows the potential influence of poor pedestrian facilities. Of the 9,565 pedestrians who were killed in 2002 and 2003, for which location of death is known, more than 40 percent were killed where no crosswalk was available. Another 18 percent were killed where crosswalk availability was not known. Less than ten percent of pedestrian deaths occurred inside a crosswalk. These data point to at least one common problem of dangerous streets - there simply are not Figure 1. Location of Pedestrian enough pedestrian facilities. Fatalities (2002-2003) A recent FHWA study supports this finding: Not in "There is no question that conditions for Cross walk bicycling and walking need to be improved 220ro in every community in the United States; it Crosswalk is no longer acceptable that 6,000 bicyclists not and pedestrians are killed in traffic every Available year...and that two desirable and efficient modes of travel have been made difficult In Crosswalk and uncomfortable. ,7 Later in this report, 10% Recommendations for State and Federal Action offers suggestions for improving Not on pedestrian facilities. Roadway 10% Crosswalk Availability Unknown 18% 6 Federal Highway Administration (2002). Pedestrian Facilities Users Guide: Providing Safety and Mobility. 7 Federal Highway Administration (1999). Accommodating Bicycle and Pedestrian Travel:A Recommended Approach. <http://www.fhwa.dot.gov/environment/bikeped/Design.htm> 19 The Role of Race and Ethnicity in Pedestrian Fatalities While it would seem that traffic crashes are indiscriminate killers, the pedestrian fatality statistics show that ethnic and racial minorities tend African- to be disproportionately represented in the numbers. While the data on race and ethnicity for pedestrian deaths is still incomplete (records Americans for 27 percent of pedestrian fatalities did not record race data, and 28 comprise only percent of entries did not record ethnicity data), the available data 12.7 percent of does offer important findings. the population, Nationwide, whites comprise 81 percent of the population. However, only 75 percent of pedestrian deaths for which race is known are but 19 whites. In contrast, African-Americans make up nearly one in five (19 percent of percent) pedestrian deaths, though they represent less than 13 percent of the total U.S. population. Likewise, Latino pedestrians pedestrian comprise 16 percent of deaths, but only 13.5 percent of the total U.S. deaths. population. While the FARS data on pedestrian race and ethnicity is too incomplete to permit an assessment at the metro area level, other studies have found that at the regional level, ethnic and racial minorities suffer even greater disparities in pedestrian deaths. The Centers for Disease Control reported recently that Latinos in Atlanta were six times more likely to be hit and killed while walking than whites.8 A survey Figure 2. Pedestrian Fatality Rates by Race and conducted by the Washington Post Ethnicity found that Latinos in suburban Washington, DC were three times more likely to be hit and killed.9 White 1.14 Another survey conducted by the Los Angeles Times in Orange County, California showed that Hispanic 1.4 while Latinos make up 28 percent - of the county's population, they accounted for 40 percent of all African pedestrian injuries and 43 percent American of all pedestrian deaths.10 A recent New York Times article 0.0 0.5 1.0 1.5 2.0 found that while Hispanics Pedestrian Fatality Rate per 100,000 Capita comprise only 10 to 15 percent of Long Island's total population, 8 Centers for Disease Control and Prevention, "Pedestrian Fatalities -- Cobb, DeKalb, Fulton, and Gwinnett Counties, Georgia, 1994-1998,"Morbidity and Mortality Weekly Report. Atlanta, Georgia, July 23, 1999. <http://www.cdc.gov/mmwr/preview/mmwrhtml/mm4828al.htm> 9 Sylvia Moreno and Alan Sipress. "Fatalities Higher for Latino Pedestrians; Area's Hispanic Immigrants Apt to Walk but Unaccustomed to Urban Traffic," Washington Post. August 27, 1999. 10 Richard Marosi. "Pedestrian Deaths Reveal O.C.'s Car Culture Clash,"Los Angeles Times Orange County Edition. November 28, 1999. 20 they account for 43 percent of Nassau County's pedestrian deaths, and 21 percent of Suffolk County's pedestrian fatalities." Several studies show the risk of injury to be significantly higher among African-American children than other children,12 and in Census tracts with higher percentages of non-white residents.13 In New Mexico, Native American children had a death rate 2.5 times that of other ethnic and racial groups.14 It is speculated that the link between pedestrian deaths and ethnicity is due to the fact that Latinos, and African-Americans are less likely to own a car and more likely to walk, bike and/or take public transportation, resulting in greater exposure to the dangers of the street. Indeed, an analysis of the 2001 National Household Travel Survey confirms that racial and ethnic minorities are much more likely than whites to walk to destinations. While whites made only 8.6 percent of trips on foot in 2001, African-Americans made 12.6 percent of trips on foot, and Latinos walked for 11.8 percent of trips. 11 Patrick Healy. "Peril Afoot in the Land of Four Wheels,"New York Times. February 29, 2004. 12 W.D. Kim, P.A. Palmisano. "Racial Differences in Childhood Hospitalized Pedestrian Injuries," Pediatric Emergency Care. 1992; 8 (4): pg. 221-224. 13 M. Braddock, G. Lapidus, D. Gregorio, M. Kapp, L. Banco. "Population, Income, and Ecological Correlates of Child Pedestrian Injury,"Pediatrics. Dec. 1991; 88 (6): pg. 1242-1247. F.P. Rivara, M. Barber. "Demographic Analysis of Childhood Pedestrian Injuries,"Pediatrics. Sept. 1985; 76 (3): pg. 375-381. 14 L.M. Olson, D.P. Sklar, L. Cobb, F. Sapien, R. Zumwalt. "Analysis of Childhood Pedestrian Deaths in New Mexico,"American Emergency Medicine. 1993; 22: pg. 512-516. 21 Child pedestrians A safe walking environment is particularly important for children, who depend more heavily on walking for mobility than adults. Almost ten percent of all pedestrian deaths are children. And despite recent declines, pedestrian injury remains the third leading cause of unintentional injury-related death among children ages 5 to 14.15 Annual health care costs for treating child pedestrian Injuries (including fatal injuries) amounts to $7.2 billion.16 While currently available data does not allow us to compute a pedestrian danger index for children, we know that parents are concerned that the walking environment is too dangerous for kids. A recent national survey by the Centers for Disease Control found that 40 percent of parents cited traffic as a major barrier to allowing children to walk to school.17 The National Safe Kids Campaign surveyed 9,000 "walkability" audits conducted across the country and found that nearly 60 percent of parents and children encountered at least one serious hazard along their routes to school. Common hazards included the lack of a sidewalk or crosswalk, wide roads, complicated traffic conditions, improper parking and speeding drivers.18 In addition, many new schools are being built at the edge of communities, too far for children to walk." While the rate of child pedestrian deaths has been declining over the last decade, analysts believe this is in large part due to a decrease in exposure because children are walking much less. A 2002 survey of walking conducted by Belden Russonello & Stewart for STPP found that while seven in ten (71 percent) of respondents walked or rode a bicycle to school as a child, only 17 percent reported that their own children ever walk to school.20 This has occurred at the same time that the percent of children who are obese or overweight has soared. Since 1980, the portion of 6 to 19-year-olds who are overweight has more than tripled, with 15 percent of children in this age group now 15 National SAFE KIDS Campaign. Report to the Nation on Child Pedestrian Safety. October 2002. 16 National SAFE KIDS Campaign. Pedestrian Injury Fact Sheet. 2004. <http://www.safekids.org/tier3_cd.cfm?content_item_id=1150&folder_id=540> " Centers for Disease Control and Prevention, "Barriers to Children Walking and Biking to School - United States, 1999,"MMWR Weekly 51(32);701-7045, August 16, 2002. <www.cdc.gov/mmvvr/preview/mmwrhtml/mm5l32al.htm> 18 ibid. 19 National Trust for Historic Preservation. Why Johnny Can't Walk to School. 2001. <http://www.nationaltrust.org> 20 American's Attitudes Toward Walking and Creating Better Walking Communities, April 2003. Conducted by Belden Russonello&Stewart Research and Communications for the Surface Transportation Policy Project. <www.transact.org/report.asp?id=205> 22 considered overweight, while children in all age groups are gaining weigh t.21 Routine physical activity, such as walking to school, is one of the potential solutions to the obesity epidemic among children. Parents and schools are now organizing Walk to School Days to encourage more walking and to identify and fix hazards along the walk to school. 21 Cynthia L. Ogden; Katherine M. Flegal; Margaret D. Carroll; Clifford L. Johnson. "Prevalence and Trends in Overweight Among U.S. Children and Adolescents, 1999-2000,"Journal of the American Medical Association, October 9, 2002. 23 Walking for mea/th While walking presents some dangers, not walking may be more hazardous for the health of children and adults. The portion of people who walk to work dropped by 25 percent between 1990 and 2000, at the same time that the portion of the population who are obese or overweight has jumped more than 70 percent. Walking is the most prevalent form of basic physical activity, and public health officials blame physical inactivity for an estimated 250,000 deaths annually. Moderate physical activity has been linked to a wide range of benefits, including lowering the risk for heart disease, stroke, colon and breast cancer, diabetes, and high blood pressure. Studies have also shown its benefits in warding off high cholesterol and depression. Clearly, increasing pedestrian safety and encouraging walking would deliver significant health benefits. Public health officials have recognized the decline in walking and other physical activity as a contributor to the obesity epidemic that is now affecting 22.1 percent of U.S. adults. The Surgeon General's Call to Action on the obesity epidemic issued in 2001 calls for providing safe and accessible sidewalks, walking, and bicycle paths. Diseases associated with a sedentary lifestyle cost $76 billion a year.22 With health care costs soaring, more and more governments and health care agencies are focusing on prevention as a way to improve Americans' health status. A growing movement for "active living" is bringing together transportation, Figure 3. Trend in Adult Obesity and Walking land use, and health officials to Rates (1990 to 2000) determine how to engineer a built 80% environment that encourages __— walking. This movement promotes active living as a way of c 60°i° life that integrates physical activity o into daily routines. The 40°r° recommended activity level for o Americans is 30 minutes of 20% moderate physical activity at least five days a week, a goal that can 0°r° easily be met through walking to UObesity Walki school, to work, or for errands. -20% -24.9% -40% 22 M. Pratt, C.A. Macera, G. Wang. "Higher Direct Medical Costs Associated with Physical Inactivity," The Physician and Sports Medicine 2000 vol 28, no. 10 pg. 63-70. 24 Wa/kers'Safety Not a Spending Priority Although one-third of Americans do not drive, nearly everyone walks. Unfortunately, most state departments of transportation have not Nationwide, recognized the importance of walking, and have failed to take less than 1 advantage of increased federal funding that is available to address pedestrian safety. STPP analyzed state spending of federal funds for percent of the periods of fiscal years 1992 through 1997 and fiscal years 1998 through 2003, comparing state commitments of federal funds to federal pedestrian safety. Spending of federal funds per se cannot be directly transportation associated with the safety of the walking environment, because many funds were communities have been investing in sidewalks and other facilities for decades, or have dedicated more local funds (and state funds) to this spent on purpose. But it does indicate the level of commitment transportation pedestrians agencies have made to creating safer pedestrian environments. from 1998 to Pedestrian spending within metro areas 2003 Within metropolitan areas, where most walking takes place, spending of federal funds on these vital transportation needs comes to just pennies per person (see Table 4). A few metro areas are showing increased spending on pedestrian and bicycle facilities. The Orlando metro area which has scored poorly on the Pedestrian Danger Index for several years has the second highest commitment of federal funds of the 50 largest metro areas, with $1.56 per capita annually for these facilities. The Tampa metro area led all large metro areas at $1.66 per capita. Even so, the ten most dangerous areas were still below the annual national average of Average Yearly $0.82 per capita spending Spending of Federal on pedestrian and bicycle Funds on Bicycle/ facilities, at $0.73 per Pedestrian Projects PDI per Capita person (see table, right). Rank Metro Area FY1998-FY2003 1 Orlando, FL $1.56 2 Tampa-St Petersburg-Clearwater, FL $1.66 3 West Palm Beach-Boca Raton, FL $0.64 4 Miami-Fort Lauderdale, FL $0.20 5 Memphis, TN-AR-MS $0.33 6 Atlanta, GA $1.23 Greensboro--Winston-Salem--High $0.24 Point, NC 8 Houston-Galveston-Brazoria, TX $0.44 9 Jacksonville, FL $0.83 10 Phoenix-Mesa, AZ $0.34 National Average $0.82 25 Table 4. Spending on Walking and Bicycling in Large Metro Areas Portion of All Average Yearly Traffic Spending of Federal Deaths that Funds on were Bicycle/Pedestrian Pedestrians Projects per Capita Spending Metro Area 2002-2003 FY1998-FY2003 Rank New York-Northern New Jersey-Long Island, NY-NJ- o CT-PA CMSA 28.3/o $0.31 40 Miami-Fort Lauderdale, FL CMSA 22.8% $0.20 47 San Diego, CA MSA 22.5% $0.33 39 San Francisco-Oakland-San Jose, CA CMSA 21.7% $0.80 19 Los Angeles-Riverside-Orange County, CA CMSA 21.3% $0.21 46 Tampa-St Petersburg-Clearwater, FL MSA 21.1% $1.66 1 Detroit-Ann Arbor-Flint, MI CMSA 20.2% $0.58 29 Buffalo-Niagara Falls, NY MSA 19.9% $0.74 23 Chicago-Gary-Kenosha, IL-IN-WI CMSA 19.1% $0.49 30 Seattle-Tacoma-Bremerton, WA CMSA 18.50/0 $0.98 11 Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD 17.3% $0.36 36 CMSA Orlando, FL MSA 17.0% $1.56 2 West Palm Beach-Boca Raton, FL MSA 17.0% $0.64 26 Washington-Baltimore, DC-MD-VA-WV CMSA 17.0% $0.49 31 New Haven-Bridgeport-Stamford-Waterbury- o Danbury, CT NECMA 17.0/o $0.63 27 Salt Lake City-Ogden, UT MSA 16.9% $0.74 21 Sacramento-Yolo, CA CMSA 16.9% $0.88 15 New Orleans, LA MSA 16.7% $1.30 5 San Antonio, TX MSA 16.1% $0.08 50 Phoenix-Mesa, AZ MSA 15.80/0 $0.34 37 Las Vegas, NV-AZ MSA 15.7% $0.20 48 Portland-Salem, OR-WA CMSA 15.0% $0.94 14 Boston-Worcester-Lawrence-Lowell-Brockton, MA- 14.9% NH NECMA $0.61 28 Memphis, TN-AR-MS MSA 14.8% $0.33 38 Houston-Galveston-Brazoria, TX CMSA 14.8% $0.44 33 Denver-Boulder-Greeley, CO CMSA 14.3% $0.42 34 Atlanta, GA MSA 14.2% $1.23 7 Hartford, CT NECMA 14.0% $0.95 13 Milwaukee-Racine, WI CMSA 13.6% $1.07 8 Dallas-Fort Worth,TX CMSA 13.3% $0.27 41 Norfolk-Virginia Beach-Newport News, VA-NC MSA 12.80/c $0.26 42 Jacksonville, FL MSA 12.8% $0.83 17 Raleigh-Durham-Chapel Hill, NC MSA 12.6% $0.77 20 Greensboro--Winston-Salem--High Point, NC MSA 12.3% $0.24 44 Louisville, KY-IN MSA 11.7% $0.81 18 Indianapolis, IN MSA 11.6% $0.64 25 Rochester, NY MSA 11.5% $0.66 24 Grand Rapids-Muskegon-Holland, MI MSA 11.3% $1.27 6 Richmond-Petersburg, VA MSA 11.2% $0.74 22 St Louis, MO-IL MSA 10.90/0 $1.56 3 Kansas City, MO-KS MSA 10.80/0 $1.03 9 Pittsburgh, PA MSA 10.7% $0.37 35 Minneapolis-St Paul, MN-WI MSA 10.7% $1.30 4 Oklahoma City, OK MSA 10.3% $0.96 12 Charlotte-Gastonia-Rock Hill, NC-SC MSA 10.2% $0.24 43 Columbus, OH MSA 9.7% $0.08 49 Cleveland-Akron, OH CMSA 8.6% $1.00 10 Austin-San Marcos, TX MSA 8.5% $0.83 16 Nashville,TN MSA 8.4% $0.48 32 Cincinnati-Hamilton, OH-KY-IN 7.5% $0.22 45 State spending on pedestrians Nationally, less than one percent (0.9 percent) of federal transportation funds has been spent on pedestrians under the current federal spending law, known as TEA-21, even though pedestrians comprise more than 11 percent of all traffic deaths and trips made on foot account for almost nine percent of all trips. This 0.9 percent of spending, about $240 million per year, includes both safety funding and funding for pedestrian (and bicycling) facilities such as crosswalks, sidewalks, traffic calming projects, pedestrian signals, paths, and speed humps.23 Table 5 shows how each state has performed in using its federal funds on these projects. Nationwide, the average annual amount of federal funds spent on pedestrian (and bicycling) facilities is just 82 cents per person, while the average annual spent per person on other roads and bridge projects is about $90. The 1998 TEA-21 law also represented a significant overall increase in federal transportation dollars flowing to the states; on average, states received more than 40 percent more dollars than the prior transportation funding law provided. Further, states are not taking advantage of the federal funds specifically available for improving bicycling and walking facilities. The 1991 Intermodal Surface Transportation Efficiency Act (ISTEA) and its successor, TEA-21, provided a historic opportunity for states and metro areas to make it safer and more pleasant to walk. The principle feature of both federal transportation funding bills was and is their flexibility. Unlike previous laws, ISTEA and TEA-21 gave states the ability to 'flex" (or transfer) highway funds to transit, and to use funds for pedestrian or bicycling programs. ISTEA in 1991 created a new program, the Transportation Enhancements program, which reserves ten percent of a state's Surface Transportation Program (STP) funds (overall, less than two cents of every federal dollar) for projects such as bike paths, trails, and sidewalks, and other activities.24 These changes helped double spending of federal funds on sidewalks, crosswalks, bike paths and trails from just $691 million under ISTEA to $1.4 billion under TEA-21. 23 It is important to note that not all funding for pedestrian facilities or safety programs comes from the federal government. Local and state governments also provide significant funding for transportation projects, including those for pedestrians. Unfortunately, this data is not readily available. 24 See the National Transportation Enhancements Clearinghouse for more information about the twelve activities that qualify for Transportation Enhancements funds, <http://www.enhancements.org/12teas.htm> 27 Table 5. Pedestrian Fatalities and Spending on Walking and Bicycling by State Average Annual Portion of All Percent of All Federal Average Annual Pedestrian Traffic Deaths Transportation Funds Pedestrian Deaths per that were Spent on Bicycle/ Deaths 100,000 Capita Pedestrians Pedestrian Projects State 2002-2003 2002-2003 2002-2003 FY1998-FY2003 Alabama 63 1.40 6.2% 0.8% Alaska 13 1.94 13.6% 2.5% Arizona 141 2.55 12.5% 0.6% Arkansas 37 1.36 5.8% 1.3% California 719 2.04 17.3% 0.9% Colorado 67 1.47 9.7% 0.9% Connecticut 42 1.21 13.6% 1.0% Delaware 18 2.15 13.2% 2.0% Florida 503 2.98 16.0% 1.6% Georgia 162 1.88 10.3% 1.2% Hawaii 29 2.28 22.4% 0.90/0 Idaho 14 1.03 5.0% 0.9% Illinois 193 1.53 13.4% 1.0% Indiana 58 0.93 7.1% 1.1% Iowa 19 0.63 4.4% 1.0% Kansas 25 0.90 5.0% 1.2% Kentucky 59 1.43 6.3% 1.0% Louisiana 96 2.14 10.7% 1.0% Maine 14 1.04 6.4% 0.80/0 Maryland 110 2.01 16.8% 0.6% Massachusetts 73 1.13 15.7% 1.3% Michigan 173 1.71 13.5% 0.9% Minnesota 52 1.02 7.8% 1.8% Mississippi 48 1.65 5.4% 0.5% Missouri 84 1.48 6.9% 1.4% Montana 12 1.31 4.5% 1.0% Nebraska 12 0.69 4.0% 1.6% Nevada 61 2.76 16.3% 0.8% New Hampshire 13 1.01 10.2% 1.6% New Jersey 162 1.88 21.3% 0.4% New Mexico 56 3.01 12.60/c 0.8% New York 341 1.78 22.5% 0.7% North Carolina 164 1.96 10.6% 0.6% North Dakota 5 0.71 4.5% 0.8% Ohio 95 0.83 7.0% 0.8% Oklahoma 46 1.30 6.5% 0.9% Oregon 49 1.38 10.3% 1.1% Pennsylvania 165 1.33 10.3% 0.4% Rhode Island 12 1.07 12.20/c 1.5% South Carolina 89 2.16 8.8% 0.2% South Dakota 9 1.18 4.7% 0.2% Tennessee 85 1.45 7.1% 1.1% Texas 408 1.86 10.90/0 0.4% Utah 27 1.13 8.3% 1.1% Vermont 6 0.89 7.5% 2.4% Virginia 87 1.19 9.4% 0.5% Washington 74 1.20 11.7% 1.6% West Virginia 25 1.38 6.0% 0.1% Wisconsin 53 0.97 6.4% 1.1% Wyoming 6 1.10 3.2% 0.9% U.S. Total (excl. DC) 4,861 1.68 11.40/c 0.9% 28 Table 6. Transportation Unfortunately, most states have not fully utilized Enhancements Obligation Rates byState (FY 1998 - FY 2003) these funds, obligating (i.e. actually spending) only 74 percent of the nearly $6.6 billion made Transportation Enhancements available through the Transportation Program Obligation Enhancements TE program under ISTEA and Rates 003) 8- ( ) P 9 State FY2003 TEA-21. This leaves $1.69 billion which could be Alabama 75.6% dedicated to improving pedestrian and bicyclist Alaska 99.3% Arizona 60.3% safety unspent. Some states have made greater Arkansas 93.2% efforts to spend these available funds, but most California 74.9% Colorado 77.9% have failed to take full advantage of TE program Connecticut 84.0% resources. Table 6, at right, shows state Delaware 76.5% obligation rates of Transportation Enhancements Florida 81.9% Georgia 84.3% funds for the TEA-21 period, fiscal years 1998- Hawaii 84.1% 2003 25 Idaho 66.9% Illinois 65.5% Indiana 78.9% Iowa 75.3% Kansas 83.0% Kentucky 87.79/o Louisiana 49.4% Maine 65.8% Maryland 79.1% Massachusetts 37.0% Michigan 70.6% Minnesota 98.5% Mississippi 78.1% Missouri 72.611/o Montana 78.7% Nebraska 71.9% Nevada 70.4% New Hampshire 85.2% New Jersey 78.8% New Mexico 79.7% New York 87.5% North Carolina 83.8% North Dakota 83.2% Ohio 69.6% Oklahoma 90.2% Oregon 60.2% Pennsylvania 59.3% Rhode Island 81.7% South Carolina 76.6% South Dakota 58.7% Tennessee 70.4% Texas 54.2% Utah 71.4% Vermont 85.2% Virginia 80.6% Washington 83.3% West Virginia 87.4% Wisconsin 52.3% Wyoming 99.8% Nationwide 74.4% 75 National Transportation Enhancements Clearinghouse, "Transportation Enhancements: A Summary of Nationwide Spending as of FY 2003." May 2004. <http://www.enhancements.org/misc/tedatafy03.pdf> 29 ReC*AFAFeHdatio/)S for State a nd FedeFai Action The American public wants to walk ... and needs to walk more often. To make this possible, we need better places to walk. The good news is we are willing to pay to make it happen. There is overwhelming support for policies to make the walking environment more safe and accessible for people of all ages, especially our children. More than two-thirds (68 percent) of Americans favor spending more public funds to improve walkability, even within a constrained budget.26 Public health officials are calling for better "pedestrian environments" to encourage walking and help fight obesity. And, transit providers support good pedestrian facilities given that about 85 percent of all transit users get to and from transit services by foot. Over the last few years, a growing number of communities have taken steps to improve pedestrian safety and walkability. Local governments are hosting Walkable Community Workshops and concerned citizens have performed thousands of "walkability audits" to identify existing gaps and hazards. New, Safe Routes to Schools programs are focusing attention on improving safety on the walk to school and directing resources to make walking and bicycling good, safe choices for children. Many communities have "calmed" neighborhood streets with designs that slow traffic and give a greater margin of safety to those on foot. You can find more information about some of these efforts in Resources, beginning on page 35 of this report. However, the effort to create walkable communities can only if local, state and national transportation agencies more fully embrace walking as a "their business" and as a transportation priority. Additionally, our enforcement and planning agencies, and schools have important contributions to make to the overall effort. The following recommendations identify both design-related and operational actions to make walking a safe and accessible travel option. Design-Related 1. Fix What We Have. Our existing system of streets and highways has many deficiencies in terms of "walkability." There is a lot of work to do to simply "fix" what we have in place. o Develop pedestrian action plans to target significant resources for traffic calming, sidewalk and intersection improvements, 26 American's Attitudes Toward Walking and Creating Better Walking Communities,April 2003. Conducted by Belden Russonello&Stewart Research and Communications for the Surface Transportation Policy Project. <www.transact.org/report.asp?id=205> 30 with attention to transit users and corridors. Enhanced data collection, road safety audits, and asset management systems that include sidewalk inventories can help state and local officials set priorities for upgrading the nation's transportation infrastructure. o Adopt "fix-it-first" policies that emphasize investing available dollars on improving and maintaining existing transportation infrastructure before building new facilities. o Establish a Safe Routes to School program in the federal surface transportation program. Such an initiative is necessary to address the needs of the most vulnerable segment of the population: our children. This focus on the health and safety needs of children going to and from school is the logical first step in a broad commitment to providing safe routes to transit, parks and libraries, senior centers and other public services. o Ensure a "fair share" commitment of transportation funds to pedestrian and bicycle safety needs. The U.S. Senate has passed transportation legislation to direct states to allocate their federal transportation safety funds to pedestrian and bicycle safety needs proportional to the percentage of all traffic fatalities represented by pedestrians and bicyclists. o Give more funding to those who own the roads, increasing local control by directing federal funds to the local governments (through their regional agencies or MPOs) that own the infrastructure where most walking takes place. In the nation's urbanized areas, local governments - cities and counties - on average own more than 60 percent of the Federal Aid System (as measured in center-line miles) and most of the other roads. 2. Complete Streets. All new transportation investment should improve the pedestrian environment. Establish as a performance standard that every transportation project at every level of government - Federal, State and local - which pedestrians and/or bicycles use or cross, shall provide appropriate accommodations to serve these users. This means designing and providing facilities to ensure safe, easy access and crossing for pedestrians, bicyclists and transit users. Achieving this outcome will require reform of existing governmental policies and practices including design standards and land use; re-training planning officials, traffic engineers, and other transportation leaders; and the development of additional tools to monitor and evaluate performance and function. 31 Ouerations 3. Tame Motor Vehicle Traffic. More than 42,000 people die in traffic-related crashes in the U.S. every year: this must stop. Motor vehicle operation must be re-established as a privilege and unsafe drivers removed from the roads. Motor vehicle operation - especially speeding - must be strictly controlled. To begin, we must employ promising new technologies to enhance enforcement such as the deployment of photo speed enforcement and so-called red-light cameras. These measures are effective, low-cost strategies that can help reduce speed, tame traffic, and enhance safety for pedestrians and all road users. 4. Promote Walking. Most communities and regions still do not actively promote walking. However, a growing number of projects are now underway that emphasize the public health, economic development, and transportation benefits of walking. More focused attention - and resources - should be applied to encourage people of all ages to walk more. 32 Metbode%gr Pedestrian Fatalities The National Highway Traffic Safety Administration collects data on every traffic fatality (pedestrian or otherwise) occurring on U.S. roadways. To determine how many pedestrians were killed in a given year and county, STPP queried NHTSA's Fatality Analysis Reporting System (FARS) for pedestrians who suffered fatal injuries during the years 1994, 1995, 2002, and 2003. We then aggregated the county- level data to the state, Metropolitan Statistical Area (MSA), Consolidated Metropolitan Statistical Area (CMSA), or New England County Metropolitan Area (NECMA) for some 330 metro areas.27 Dividing this figure by the appropriate population estimate from the U.S. Census Bureau, and multiplied by 100,000 gave us a yearly fatality rate per 100,000 persons. FARS also collects data on the age of the pedestrian killed, allowing STPP to calculate the number of children or elderly pedestrians killed by automobiles. New to the FARS database is information about the race and ethnicity of the person killed. This allowed STPP to analyze the significance of race and ethnicity in pedestrian fatalities. STPP created the "Pedestrian Danger Index" to allow for a truer comparison of metro areas that takes into account the exposure that pedestrians face in a given metro area. For example, while approximately the same number of pedestrians per capita is killed in the New York metropolitan and the Greensboro, NC metropolitan areas, the share of work trips made on foot is almost 4 times higher in New York than in Greensboro. We calculated the Pedestrian Danger Index by dividing the average yearly fatality rate for a metro area by the percentage of commuters walking to work in that metro area, using "journey to work" data from the decennial Census. Safety Spending STPP calculated spending figures from the Federal Highway Administration's Fiscal Management Information System (FMIS) - a massive database containing details on every surface transportation project receiving federal funds. For the purposes of this report, we queried the database for projects with an improvement type related Z'The U.S. Census Bureau recently created a new geographic area category replacing the Metropolitan and Consolidated Metropolitan Statistical Areas (MSA and CMSA), as well as the New England County Metropolitan Areas(NECMA) which had been in use until 2000. But because all previous editions of Mean Streets had been based on MSAs and CMSAs, we chose to continue using these geographic areas. For more information on these areas, see www.census.gov/population/www/estimates/aboutmetro.htmi 33 specifically to bicycle and pedestrian programs and facilities (the FMIS database lumps together bicycle and pedestrian projects). The county-level data was then aggregated to the metro area or state- level. Dividing this figure by the appropriate population estimate from the U.S. Census Bureau gives us the amount spent on pedestrian projects per capita. The percentage of federal funds spent on pedestrian projects was determined by dividing the amount derived above for each state by the total federal funds spent in that state (including funds spent on transit). At the national level, STPP compared this number to the percent of trips taken by foot, from the 2001 National Household Travel Survey. Transportation Enhancements obligation rates were taken from the National Transportation Enhancements Clearinghouse report, "Transportation Enhancements: A Summary of Nationwide Spending as of FY 2003." 34 IPesoarces Places to Start Pedestrian and Bicycle Information Center http://www.waIkinginfo.org and http://www.pedbikeinfo.org National Center for Bicycling and Walking http://www.bikewalk.org America WALKs http://www.americawalks.org Active Living Network http://www.activeliving.org/ Federal Government Federal Highway Administration Bicycle and Pedestrian Program http://www.fhwa.dot.gov/environment/bikeped Federal Highway Administration Pedestrian and Bicycle Safety Research http://www.tfhrc.gov/safety/pedbike/pedbike.htm Federal Highway Administration's Design Guidance for Accommodating Bicycle and Pedestrian Travel http://www.fhwa.dot.gov/environment/bikeped/Design.htm Federal Highway Administration's Traffic Calming Page http://www.fhwa.dot.gov/environment/tcaIm National Highway Traffic Safety Administration's Pedestrian Safety Programs http://www.nhtsa.dot.gov/people/injury/pedbimot/ped Access Board http://www.access-board.gov Advocacy Groups Smart Growth America http://www.smartgrowthamerica.org WalkBoston (Boston, MA) http://www.walkboston.org Pedestrians Educating Drivers on Safety (PEDS) (Atlanta, GA) http://www.peds.org Transportation Alternatives (New York, NY) http://www.transalt.org Right of Way http://www.rightofway.org Tri-State Transportation Campaign (New York-New Jersey-Connecticut) http://www.tstc.org National SAFE KIDS Campaign http://www.safekids.org Congress for the New Urbanism http://www.cnu.org Project for Public Spaces http://www.pps.org Walkable Communities, Inc. http://www.walkable.org 35 Professional Organizations American Planning Association http://www.planning.org American Public Transportation Association http://www.apta.com Association of Bicycle and Pedestrian Professionals http://www.apbp.org Human Powered Transportation Committee of the American Society for Civil Engineers http://www.ascehpt.homestead.com Institute for Transportation Engineers http://www.ite.org American Association of State Highway and Transportation Officials http://www.aashto.org Transportation Research Board http://www.trb.org Events Walk to School Day (USA) http://www.walktoschool-usa.org International Walk to School Day http://www.iwalktoschool.org Walk21 International Conference on Walking in the 21st Century http://www.americawalks.org/walk2l Pro Bike/Pro Walk Conference http://www.bikefed.org/Conference/conference.htm Resources for Communities Active Living by Design http://www.activelivingbydesign.org Fehr and Peers Associates, Inc. Traffic Calming website http://www.trafficcalming.org Institute of Transportation Engineers' Traffic Calming Library http://www.ite.org/traffic The 2002 Summary of Safe Routes to School Programs http://www.transact.org/report.asp?id=49 Victoria Transport Policy Institute Online Transportation Demand Encyclopedia http://www.vtPi.org/tdm Surface Transportation Policy Project http://www.transact.org http://www.tea3.org 36 i4 Surface Transportation Policy Project 1100 17th Street, NW Tenth Floor Washington, DC 20036 phone: (202) 466-2636 fax: (202) 466-2247 stpp@transact.org www.transact.org