2017 kansas traffic crash facts book table of contents€¦ · all persons involved in traffic...

2017 KANSAS TRAFFIC

CRASH FACTS BOOK

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2017 Kansas Traffic Crash Facts

Quick Facts

Traffic Crashes 407 – Fatal 12,399 – Injury 46,019 – Property-Damage-Only 58,829

All Persons Involved in Traffic Crashes 461 – Fatally Injured 17,116 – Non-Fatally Injured 114,498 – Unharmed or Unknown 132,097 – All Occupants and Pedestrians

Persons Fatally Injured in Traffic Crashes 154 – Occupants of Cars 83 – Occupants of Pickup Trucks 78 – Occupants of SUVs 56 – Occupants of Motorcycles, Motor Scooters, and

Mopeds 34 – Pedestrians 28 – Occupants of Vans 23 – Other Occupants and Pedestrians 5 – Pedal cyclists 461 – All Occupants and Pedestrians

% Safety Restraint Use for Occupants in Crashes 92.5% – All Occupants 91.0% – Occupants birth to 3 years old (child seat) 96.5% – Occupants 4-13 years old

Crash, Injury, & Fatality Rates - All Public Roads 1.83 – Overall Crash Rate per Million Vehicle Miles of Travel 0.38 – Injury Crash Rate per Million Vehicle Miles of Travel 0.53 – Injury Rate per Million Vehicle Miles of Travel 1.26 – Fatal Crash Rate per 100 Million Vehicle Miles of Travel 1.43 – Fatality Rate per 100 Million Vehicle Miles of Travel Estimated Vehicle Miles of Travel – 32,210,852,150

Vehicles Involved in Traffic Crashes 49,767 – Cars 15,293 – Pickup Trucks 18,513 – SUV 4,560 – Vans 3,548 – Trucks and Buses 1,648 – Unknown Vehicle Type 1,066 – Motorcycles, Motor Scooters, Mopeds 503 – Other 94,898

% Safety Restraint Use for Deceased Occupants in Crashes 43.5% – All Occupants 33.3% – Occupants birth to 3 years old (child seat) 25.0% – Occupants 4-13 years old

Most Accidents Occur: During daylight hours 63%

In good weather conditions 88%

With dry road surface conditions 87%

Not in work zones 97%

In urban areas N/A

Where the road is straight and level 77%

Top 5 Contributing Circumstances: Failed to give full time and attention 21%

Animal 13%

Failure to yield the right-of-way 11%

Followed to closely 8%

Too fast for conditions 5%

Note: 4 out of 5 are driver-related

Rates at which traffic crashes and fatalities in traffic crashes occurred:

Crashes Involving

No. of

Crashes

One/crash occurred

every/hours.

No. of

Deaths

One death

occurred every

hours.

All Types 58,829 0.15 461 19.00

One Vehicle Only 25,355 0.35 197 44.47

Fixed Objects 8,416 1.04 135 64.89

Deer Collisions 10,225 0.86 8 1,095.00

Speeding 3,854 2.27 73 120.00

Snow and Ice 1,286 6.81 8 1,095.00

Overturned 3,144 2.79 153 57.25

Heavy/Large Trucks 3,103 2.82 92 95.22

Alcohol 1,993 4.40 90 97.33

In Work Zones 1,769 4.95 12 730.00

2-Wheeled Motor Vehicles 1,025 8.55 56 156.43

Pedestrians (All Types) 930 9.42 39 224.62

School Buses 217 40.37 0 -

Railway Trains 32 273.75 6 1,460.00

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Prepared by

Kansas Department of Transportation Bureau of Transportation Safety & Technology

Traffic Safety Section

Contact Options:

Open Records Data Request Link: https://www.ksdot.org/bureaus/offchiefcoun/openrecords.asp

Phone: (785) 296-3618

Mail: Kansas Department of Transportation

Traffic Safety Section Eisenhower State Office Building 700 SW Harrison St, 6th Floor Topeka, KS 66603

In cooperation with the U.S. Department of Transportation Federal Highway Administration

The crash data herein, as of August 31, 2018, reflect the reporting officer’s observations and opinions recorded on the KDOT forms:

850A - Motor Vehicle Crash Report 850B – Occupants & Vehicles 851 – Crash Narrative 852 – Heavy Vehicle & HAZMAT Supplement 854 – Passenger & Pedestrians

Steven Buckley, State Highway Safety Engineer

Theresa Havenstein, State Highway Safety Analyst

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Table of Contents • Statewide Crash Rates 1

• Costs of Traffic Crashes 2

• Safety Belt and Child Restraint Usage 3-7

• Contributing Circumstances 8

• Driver-Related Data: � Contributing Circumstances 9 � Speed-Related Crashes 10-11 � Alcohol-Related Crashes 12-15 � Reckless / Aggressive Driving 16 � Driver Distractions 17-18 � Gender 19 � Age Summaries 20-21

• Crash Types: � Crashes By Type 22 � Fixed Object 23 � Deer 24-25 � Overturn 26 � Pedestrian Summary (All Types) 27 � Pedestrian 28 � Pedal Cyclists 29

• Vehicles In Crashes: � All Vehicles 30 � Single Vehicle Crashes 31 � Large / Heavy Truck Involvement 32 � Motorcycle, Moped, Motor Scooter Involvement 33-34 � School Bus Involvement 35 � Farm Equipment 36 � Police Pursuit 37 � Railroad Crossing / Train Involvement 38

• Roadway Information: � Crashes by Roadway Type (including deer and alcohol) N/A � Crash Lane Class N/A � Rural / Urban Crashes N/A � Crash Locations 42 � Roadway Characteristics 43 � Roadway Surface Conditions 44 � Work Zone Crashes 45

• Environment: � Light Conditions 46 � Weather Conditions 47 � Snow and Ice 48

• Time Trends 49-51

• Holiday Statistics 52-60

• County Statistics (including deer, alcohol, seat belt use, etc) 61-63

• City Statistics (including deer, alcohol, seat belt use, etc.) 64-74

• Definitions 75-79

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s

Statewide Crash Rates: All Crashes, Fatal Crashes, & Injury Crashes

1987 - 2017

Year Crash Rate per million vehicle miles

Fatal Crash Rate per 100 million vehicle miles Injury Crash Rate per million vehicle miles

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Crash Costs

Cost Crash Types Crashes

2,245,716,900$ Involving Driver Infractions 35,995

1,385,872,200$ Involving Low-Light Conditions 21,533

1,253,769,550$ Involving One Vehicle Only (no pedestrians) 25,355

859,542,650$ Involving Overturned Vehicles 3,144

774,543,350$ Involving Distracted Drivers 15,627

636,490,250$ Involving Fixed Objects 8,111

477,440,450$ Involving Alcohol-Impaired Drivers 1,993

463,273,850$ Involving Large / Heavy Trucks 3,103

453,088,000$ Involving Speeding Drivers 3,854

448,128,950$ Involving Drivers of Ages 14 through 19 10,685

360,828,100$ Involving Drug-Impaired Drivers 325

322,722,400$ Involving Motorcycles, Mopeds, and Scooters 1,024

265,340,950$ Involving Rain and/or Wet Pavement Conditions (excluding freezing rain) 6,244

231,217,400$ Involving Pedestrians (all types) 870

217,229,450$ Involving Aggressive, Reckless Driving 1,157

192,742,650$ Involving Crimes: Hit & Run, Police Pursuit, and/or Stolen Vehicle 5,961

115,715,550$ Involving Fatigued Drivers or Drivers Who Fell Asleep 925

98,494,750$ Involving Collisions with Deer 10,225

81,585,700$ Occurring in Work Zones 1,769

54,975,750$ Occurring in Snow and/or Ice Conditions 1,286

42,214,700$ Involving Pedal Cyclists 323

27,560,750$ Involving Collisions with a Railway Train 32

5,827,800$ Involving School Buses 217

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2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 TotalsOccupants in

Crashes 157,425 145,117 133,518 131,820 129,422 125,730 127,582 128,899 132,889 135,040 125,710 1,473,152 Occupants

Using Safety

Belts 137,762 126,626 118,265 118,886 117,924 114,078 116,599 118,241 121,898 123,744 116,238 1,330,261% Using

Safety Belts 87.5% 87.3% 88.6% 90.2% 91.1% 90.7% 91.4% 91.7% 91.7% 91.6% 92.5% 90.3%

Deaths 343 309 304 363 312 317 277 300 272 325 359 3,481

Using Safety

Belts 133 95 112 123 132 121 101 127 120 147 156 1,367

% Using

Safety Belts 38.8% 30.7% 36.8% 33.9% 42.3% 38.2% 36.5% 42.3% 44.1% 45.2% 43.5% 39.3%

Injuries 20,882 19,099 17,811 17,215 16,676 17,023 16,411 16,136 16,562 16,647 15,334 189,796

Using Safety

Belts 16,558 15,095 14,147 14,191 14,059 14,333 14,113 13,984 14,430 14,481 13,496 158,887

% Using

Safety Belts 79.3% 79.0% 79.4% 82.4% 84.3% 84.2% 86.0% 86.7% 87.1% 87.0% 88.0% 83.7%

Unharmed or

Unknown 136,200 125,709 115,403 114,242 112,433 108,390 110,894 112,463 116,055 118,061 110,009 1,279,859

Using Safety

Belts 121,071 111,436 104,006 104,572 103,732 99,624 102,385 104,130 107,348 109,114 102,583 1,170,001% Using

Safety Belts 88.9% 88.6% 90.1% 91.5% 92.3% 91.9% 92.3% 92.6% 92.5% 92.4% 93.2% 91.4%

*Excludes occupants in vehicle body types: motorcycle, moped, farm equipment, all-terrain vehicle, bus, train,

other, and unknown

**Excludes airbag only, helmet, eye protection, and unknown restraint use

Years

All Occupants* in Crashes - Safety Restraint Usage** History

84.0%

86.0%

88.0%

90.0%

92.0%

94.0%

Percent of Occupants Safety Belt Use All Ages

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

Percent of Occupant Safety Belt Use Deaths: All Ages

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2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 TotalsOccupants in

Crashes 4,615 3,991 3,847 3,490 3,545 3,712 3,691 3,618 3,782 3,740 3,416 41,447

Occupants

Using Safety

Belts 4,123 3,717 3,252 3,020 3,061 3,238 3,290 3,259 3,362 3,364 3,109 36,795% Using

Safety Belts 89.3% 93.1% 84.5% 86.5% 86.3% 87.2% 89.1% 90.1% 88.9% 89.9% 91.0% 88.8%

Deaths 6 1 4 3 4 4 4 1 3 1 3 34

Using Safety

Belts 6 1 4 0 2 3 1 1 2 1 1 22

% Using

Safety Belts 100.0% 100.0% 100.0% 0.0% 50.0% 75.0% 25.0% 100.0% 66.7% 100.0% 33.3% 64.7%

Injuries 314 275 288 212 273 290 255 232 251 263 232 2,885

Using Safety

Belts 257 234 219 168 221 221 208 200 208 225 206 2,367

% Using

Safety Belts 81.8% 85.1% 76.0% 79.2% 81.0% 76.2% 81.6% 86.2% 82.9% 85.6% 88.8% 82.0%

Unharmed or

Unknown 4,295 3,715 3,555 3,275 3,268 3,418 3,432 3,385 3,528 3,476 3,181 38,528

Using Safety

Belts 3,860 3,482 3,029 2,852 2,838 3,014 3,081 3,058 3,152 3,138 2,902 34,406% Using

Safety Belts 89.9% 93.7% 85.2% 87.1% 86.8% 88.2% 89.8% 90.3% 89.3% 90.3% 91.2% 89.3%

Years

Occupants* 1-3 Years Old in Crashes - Safety Restraint Usage** History

*Excludes occupants in vehicle body types: motorcycle, moped, farm equipment, all-terrain vehicle, bus, train, other,

and unknown

**Restraint usage: infant, child, or booster seat, with or without airbag deployment.

80.0%

82.0%

84.0%

86.0%

88.0%

90.0%

92.0%

94.0%


0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

120.0%


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2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 TotalsOccupants

in Crashes 10,163 9,385 8,370 7,025 7,670 7,704 7,987 8,260 8,234 8,335 7,859 90,992

Occupants

Using Safety

Belts 9,521 8,741 7,865 6,672 7,334 7,352 7,673 7,928 7,917 7,967 7,581 86,551% Using

Safety Belts 93.7% 93.1% 94.0% 95.0% 95.6% 95.4% 96.1% 96.0% 96.2% 95.6% 96.5% 95.1%

Deaths 11 5 3 4 8 10 5 9 6 11 8 80

Using Safety

Belts 7 0 2 1 5 4 0 5 4 6 2 36

% Using

Safety Belts 63.6% 0.0% 66.7% 25.0% 62.5% 40.0% 0.0% 55.6% 66.7% 54.5% 25.0% 45.0%

Injuries 1,029 1,009 921 714 790 906 872 786 829 891 788 9,535

Using Safety

Belts 857 848 783 620 713 799 796 715 747 804 720 8,402

% Using

Safety Belts 83.3% 84.0% 85.0% 86.8% 90.3% 88.2% 91.3% 91.0% 90.1% 90.2% 91.4% 88.1%

Unharmed or

Unknown 9,123 8,371 7,446 6,307 6,872 6,788 7,110 7,465 7,399 7,433 7,063 81,377

Using Safety

Belts 8,657 7,893 7,080 6,051 6,616 6,549 6,877 7,208 7,166 7,157 6,859 78,113% Using

Safety Belts 94.9% 94.3% 95.1% 95.9% 96.3% 96.5% 96.7% 96.6% 96.9% 96.3% 97.1% 96.0%


Years

Occupants* 4-13 Years Old in Crashes - Safety Restraint Usage** History


other, and unknown

91.0%

92.0%

93.0%

94.0%

95.0%

96.0%

97.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


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in Crashes 101,197 94,798 85,121 81,777 81,113 81,627 82,030 82,281 83,515 86,351 78,414 938,224

Occupants

Using Safety

Belts 88,292 82,402 75,202 73,564 73,664 73,887 74,752 75,372 76,260 78,990 72,258 844,643% Using

Safety Belts 87.2% 86.9% 88.3% 90.0% 90.8% 90.5% 91.1% 91.6% 91.3% 91.5% 92.1% 90.0%

Deaths 54 68 43 63 52 58 48 62 64 70 75 657

Using Safety

Belts 14 15 8 23 20 18 19 20 22 29 26 214

% Using

Safety Belts 25.9% 22.1% 18.6% 36.5% 38.5% 31.0% 39.6% 32.3% 34.4% 41.4% 34.7% 32.6%

Injuries 12,046 11,357 10,372 9,589 9,488 9,977 9,446 9,303 9,538 9,666 8,783 109,565

Using Safety

Belts 9,934 9,316 8,531 8,159 8,253 8,702 8,360 8,312 8,513 8,693 7,949 94,722

% Using

Safety Belts 82.5% 82.0% 82.3% 85.1% 87.0% 87.2% 88.5% 89.3% 89.3% 89.9% 90.5% 86.5%

Unharmed or

Unknown 89,097 83,373 74,706 72,125 71,573 71,592 72,536 72,916 73,913 76,613 69,552 827,996

Using Safety

Belts 78,344 73,071 66,663 65,382 65,391 65,167 66,373 67,040 67,725 70,268 64,282 749,706% Using

Safety Belts 87.9% 87.6% 89.2% 90.7% 91.4% 91.0% 91.5% 91.9% 91.6% 91.7% 92.4% 90.5%


Years


Where the Speed Limit is Less Than or Equal to 45 mph


other, and unknown

84.0%

86.0%

88.0%

90.0%

92.0%

94.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


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in Crashes 52,936 48,030 45,625 45,757 44,822 42,499 44,530 45,204 47,617 46,922 45,776 509,718

Occupants

Using Safety

Belts 46,806 42,408 40,755 41,666 41,179 38,782 40,986 41,618 44,045 43,217 42,604 464,066% Using

Safety Belts 88.4% 88.3% 89.3% 91.1% 91.9% 91.3% 92.0% 92.1% 92.5% 92.1% 93.1% 91.0%

Deaths 283 237 257 295 255 257 228 237 207 252 281 2,789

Using Safety

Belts 119 76 103 100 111 102 82 107 97 118 129 1,144

% Using

Safety Belts 42.0% 32.1% 40.1% 33.9% 43.5% 39.7% 36.0% 45.1% 46.9% 46.8% 45.9% 41.0%

Injuries 8,452 7,483 7,116 7,169 6,766 6,879 6,865 6,722 6,867 6,821 6,412 77,552

Using Safety

Belts 6,351 5,609 5,379 5,687 5,445 5,489 5,672 5,581 5,777 5,645 5,426 62,061

% Using

Safety Belts 75.1% 75.0% 75.6% 79.3% 80.5% 79.8% 82.6% 83.0% 84.1% 82.8% 84.6% 80.0%

Unharmed or

Unknown 44,201 40,310 38,252 38,293 37,800 35,363 37,437 38,245 40,543 39,844 39,079 429,367

Using Safety

Belts 40,336 36,723 35,273 35,879 35,622 33,191 35,232 35,930 38,171 37,452 37,047 400,856% Using

Safety Belts 91.3% 91.1% 92.2% 93.7% 94.2% 93.9% 94.1% 93.9% 94.1% 94.0% 94.8% 93.4%

Years


Where the Speed Limit is Greater Than 45 mph


other, and unknown


85.0%86.0%87.0%88.0%89.0%90.0%91.0%92.0%93.0%94.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017


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Contributing Circumstance (top 40) Frequency** % Total

1 DRIVER INATTENTION - GENERAL 13,908 20.8%

2 ENVIRONMENT ANIMAL - - WILD OR DOMESTIC 8,707 13.0%

3 DRIVER RIGHT OF WAY VIOLATION 7,208 10.8%

4 DRIVER FOLLOWED TOO CLOSELY 5,648 8.4%

5 DRIVER TOO FAST FOR CONDITIONS 3,476 5.2%

6 DRIVER UNKNOWN 2,906 4.3%

7 DRIVER IMPROPER LANE CHANGE 2,125 3.2%

8 DRIVER UNDER INFLUENCE OF ALCOHOL 1,918 2.9%

9 DRIVER DISREGRDED SIGNS-SIGNALS-MARKINGS 1,906 2.9%

10 DRIVER IMPROPER BACKING 1,429 2.1%

11 DRIVER AVOIDANCE OR EVASIVE ACTION 1,416 2.1%

12 DRIVER OTHER DISTRACTION IN OR ON VEHICLE 1,378 2.1%

13 DRIVER IMPROPER TURN 1,330 2.0%

14 DRIVER RAN RED LIGHT 1,314 2.0%

15 DRIVER OVERSTEERING- OVERCORRECTION 1,172 1.8%

16 DRIVER CARELESS OR RECKLESS DRIVING 1,024 1.5%

17 ROAD CONDITION WET 942 1.4%

18 ENVIRONMENT RAIN, MIST, OR DRIZZLE 930 1.4%

19 DRIVER FELL ASLEEP OR FATIGUED 925 1.4%

20 DRIVER OTHER 627 0.9%

21 DRIVER MOBILE PHONE 622 0.9%

22 DRIVER ILL OR MEDICAL CONDITION 552 0.8%

23 DRIVER EXCEEDED SPEED LIMIT 492 0.7%

24 ROAD CONDITION OTHER 428 0.6%

25 ROAD CONDITION DEBRIS OR OBSTRUCTION 354 0.5%

26 VEHICLE TIRES 352 0.5%

27 ROAD CONDITION ICY OR SLUSHY 351 0.5%

28 DRIVER IMPROPER PASSING 343 0.5%

29 DRIVER WRONG SIDE OR WAY 337 0.5%

30 ROAD CONDITION UNKNOWN 327 0.5%

31 DRIVER DISTRACTION NOT IN OR ON VEHICLE 325 0.5%

32 DRIVER UNDER INFLUENCE OF ILLEGAL DRUGS 287 0.4%

33 ENVIRONMENT VISION OBSTR--SUN OR LIGHT GLARE 283 0.4%

34 VEHICLE BRAKES 249 0.4%

35 ROAD CONDITION SNOW PACKED OR ACCUMULATION 241 0.4%

36 DRIVER EMOTIONAL CONDITION 235 0.4%

37 DRIVER AGGRESSIVE DRIVING 209 0.3%

38 DRIVER OTHER ELECTRONIC DEVICE 200 0.3%

39 DRIVER DID NOT COMPLY WITH DL RESTRICTIONS 200 0.3%

40 DRIVER UNDER INFLUENCE OF MEDICATION 182 0.3%

*More than one Contributing Circumstance may be recorded per crash

Contributing Circumstances

Category

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Frequency

Coded* % of Total1 INATTENTION - GENERAL 13,908 26.1%

2 RIGHT OF WAY VIOLATION 7,208 13.5%

3 FOLLOWED TOO CLOSELY 5,648 10.6%

4 TOO FAST FOR CONDITIONS 3,476 6.5%

5 UNKNOWN 2,906 5.5%

6 IMPROPER LANE CHANGE 2,125 4.0%

7 UNDER INFLUENCE OF ALCOHOL 1,918 3.6%

8 DISREGRDED SIGNS-SIGNALS-MARKINGS 1,906 3.6%

9 IMPROPER BACKING 1,429 2.7%

10 AVOIDANCE OR EVASIVE ACTION 1,416 2.7%

11 OTHER DISTRACTION IN OR ON VEHICLE 1,378 2.6%

12 IMPROPER TURN 1,330 2.5%

13 RAN RED LIGHT 1,314 2.5%

14 OVERSTEERING- OVERCORRECTION 1,172 2.2%

15 CARELESS OR RECKLESS DRIVING 1024 1.9%

16 FELL ASLEEP OR FATIGUED 925 1.7%

17 OTHER 627 1.2%

18 MOBILE PHONE 622 1.2%

19 ILL OR MEDICAL CONDITION 552 1.0%

20 EXCEEDED SPEED LIMIT 492 0.9%

21 IMPROPER PASSING 343 0.6%

22 WRONG SIDE OR WAY 337 0.6%

23 DISTRACTION NOT IN OR ON VEHICLE 325 0.6%

24 UNDER INFLUENCE OF ILLEGAL DRUGS 287 0.5%

25 EMOTIONAL CONDITION 235 0.4%

26 AGGRESSIVE DRIVING 209 0.4%

27 OTHER ELECTRONIC DEVICE 200 0.4%

53,312 100.0%

203

* More than one Contributing Circumstance may be recorded per crash

Driver Contributing Circumstances

Driver Contributing Circumstances

Total

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Age All Crashes Fatal Crashes

Injury

Crashes Total Fatal Injury

1 - 13 4 4 3 4 0 3

14 18 18 6 18 0 6

15 - 19 908 908 306 906 9 306

20 - 24 791 791 251 784 17 246

25 - 29 509 509 157 507 10 155

30 - 34 374 374 134 373 3 134

35 - 39 262 262 81 260 7 79

40 - 44 196 196 63 195 1 62

45 - 49 183 183 57 182 4 56

50 - 54 166 166 58 165 4 57

55 - 59 124 124 45 122 1 43

60 - 64 100 100 43 100 3 43

65 - 69 59 59 18 59 0 18

70 - 74 34 34 14 34 1 14

75 - 79 26 26 9 26 2 9

80 - 84 12 12 1 12 2 1

85 - 89 8 0 3 8 0 3

90 - 94 0 0 0 0 0 0

95 + 0 0 0 0 0 0

Unknown 133 1 16 132 1 15

Total 3,907 65 1,265 3,854* 65* 1,234*

Speeding Drivers and Their Crashes by Age Group

Crashes per Age GroupSpeeding DRIVERS Involved in+

* The crash totals do not reflect the sum of the columns above as multiple counting occurs when drivers of

different age groups are involved in the same crash.

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All Crashes Fatal Crashes

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Year Total Fatal Injury PDO Deaths Injuries

2007 9,495 92 2,757 6,646 102 3,988

2008 7,925 86 2,350 5,489 96 3,332

2009 6,109 82 1,888 4,139 93 2,710

2010 6,046 81 1,791 4,174 86 2,641

2011 6,061 81 1,814 4,166 88 2,547

2012 4,644 87 1,597 2,960 95 2,400

2013 5,776 73 1,695 4,008 76 2,464

2014 5,973 80 1,680 4,213 92 2,437

2015 5,551 89 1,544 3,918 100 2,285

2016 4,522 66 1,365 3,090 72 1,959

2017 3,854 65 1,234 2,555 73 1,802

Total 65,956 882 19,715 45,358 973 28,565

PeopleCrashes

SPEED-RELATED CRASHES

-

10

20

30

40

50

60

70

80

90

100

-

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

9,000

10,000

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

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Speed-Related Crashes

Total Fatal

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Type Total Alcohol-Related % of All

All 58,829 1,993 3.4%

Fatal 407 81 19.9%

Injury 12,399 729 5.9%

PDO 46,019 1,183 2.6%

All 132,097 3,495 2.6%

Deaths 461 90 19.5%

Injuries 17,116 1,023 6.0%

Unharmed 114,498 2,381 2.1%

Alcohol-Related Crashes

People

Crashes

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Total 4.7% 5.1% 5.1% 4.7% 4.3% 4.6% 4.1% 4.0% 3.8% 3.6% 3.4%

Fatal 28.8% 34.5% 32.8% 31.1% 29.7% 23.4% 28.7% 28.4% 22.0% 23.6% 19.9%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

% o

f F

ata

l C

rash

es

% o

f A

ll C

rash

es

Alcohol-Related Crash History2007-2017

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2017 Kansas Traffic Crashes Facts

Alcohol-Impaired

Driver Ages Total Fatal Injury PDO Deaths Injured

Unknown 7 0 2 5 0 2

1-14 0 0 0 0 0 0

15-20 209 6 82 121 7 119

1-20 209 6 82 121 7 119

21-24 368 14 149 205 16 200

25-29 355 11 132 212 11 177

30-34 233 9 87 137 12 119

35-39 195 7 67 121 7 108

40-44 158 11 58 89 13 79

45-49 123 5 38 80 5 54

50-54 117 5 34 78 5 51

55-59 93 9 32 52 9 43

60-64 69 2 26 41 2 44

65-69 31 3 12 16 3 20

70-74 30 1 10 19 1 14

75+ 11 1 2 8 2 3

Note: More than one driver per age group can be involved in the same crash.

Alcohol-Related CrashesBy Driver Age

Crashes People

1-14 15-20 21-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75+

All 0 209 368 355 233 195 158 123 117 93 69 31 30 11

Fatal 0 6 14 11 9 7 11 5 5 9 2 3 1 1

0

2

4

6

8

10

12

14

16

0

50

100

150

200

250

300

350

400

in F

ata

l C

rash

es

in A

ll C

rash

es

Alcohol-Impaired Drivers by Age Group

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2007 3,297 109 1,380 1,808 119 1,949

2008 3,370 119 1,389 1,862 130 2,004

2009 3,122 114 1,339 1,669 125 1,920

2010 2,852 119 1,172 1,561 140 1,679

2011 2,632 104 1,116 1,412 114 1,582

2012 2,748 91 1,221 1,436 103 1,713

2013 2,470 93 1,017 1,360 95 1,367

2014 2,439 97 1,001 1,341 109 1,426

2015 2,374 72 950 1,352 77 1,337

2016 2,251 83 863 1,305 92 1,177

2017 1,993 81 729 1,183 90 1,023

Total 29,548 1,082 12,177 16,289 1,194 17,177

Alcohol-Related Crashes2007-2017 Summary

Crashes People

-

20

40

60

80

100

120

140

-

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

l C

rash

es

All C

rash

es

2007-2017 Alcohol-Related Crash Summary

Total Fatal

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2007 2,674 102 1,139 1,433 112 1,644

2008 2,738 109 1,151 1,478 119 1,698

2009 2,556 105 1,115 1,336 116 1,623

2010 2,258 104 939 1,215 125 1,396

2011 2,096 88 916 1,092 98 1,293

2012 2,200 85 995 1,120 97 1,434

2013 1,974 91 855 1,028 93 1,179

2014 1,927 91 808 1,028 103 1,188

2015 1,955 87 813 1,055 96 1,211

2016 1,773 80 702 991 91 990

2017 1,533 73 581 879 82 845

Total 23,684 1,015 10,014 12,655 1,132 14,501


2007 919 22 418 479 23 674

2008 934 34 424 476 43 703

2009 887 30 404 453 33 669

2010 893 33 373 487 41 602

2011 747 29 285 433 32 463

2012 806 21 359 426 27 586

2013 721 22 271 428 23 434

2014 779 22 331 426 27 532

2015 727 41 302 384 47 516

2016 687 22 251 414 27 396

2017 624 20 230 374 22 358

Total 8,724 296 3,648 4,780 345 5,933

Crashes People

Alcohol-Related CrashesInvolving Alcohol-Impaired Male Drivers

Crashes People

Involving Alcohol-Impaired Female Drivers

Note: There are instances where a female and a male driver were involved in the same crash causing

multiple counting in the data above. In addition, drivers whose gender was unknown are excluded.

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Year Total Fatal Injury PDO Deaths Injured

2012 1,390 33 531 826 40 829

2013 1,227 33 431 763 34 631

2014 1,168 26 430 712 27 705

2015 1,246 35 449 762 38 696

2016 1,205 21 403 780 24 597

2017 1,017 32 368 617 38 563

Total 7,253 180 2,612 4,460 201 4,021


2012 244 9 75 160 11 128

2013 231 3 67 161 3 98

2014 206 3 70 133 3 110

2015 231 7 70 154 8 116

2016 225 5 65 155 5 99

2017 201 1 56 144 1 83

Total 1,338 28 403 907 31 634

Reckless or Aggressive Driving

PeopleCrashes

Reckless/Careless Driving

Aggressive/Antagonistic Driving

Crashes People

0

10

20

30

40

50

60

0

50

100

150

200

250

300

350

400

Ag

gre

ssiv

e D

riv

ers

Reckle

ss D

riv

ers

Reckless & Aggressive Drivers by Age

Reckless Drivers Aggressive Drivers

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2012 524 6 183 335 6 262

2013 482 6 149 327 7 210

2014 537 5 181 351 6 242

2015 618 2 182 434 2 252

2016 639 7 191 441 7 271

2017 622 6 198 418 6 269

Total 3,422 32 1,084 2,306 34 1,506


2012 237 - 84 153 - 115

2013 242 1 84 157 2 116

2014 186 - 62 124 - 90

2015 205 2 59 144 2 85

2016 220 - 64 156 - 77

2017 200 - 57 143 - 73

Total 1,290 3 410 877 4 556


2012 1,418 11 443 964 15 701

2013 1,309 6 414 889 6 609

2014 1,430 11 454 965 12 660

2015 1,573 2 453 1,118 2 683

2016 1,518 8 426 1,084 8 638

2017 1,378 5 369 1,004 5 563

Total 8,626 43 2,559 6,024 48 3,854

** Examples: Applying Makeup, Reading Newspaper, Children, Food, etc.

Crashes

Crashes

Driver Distractions

People

Distraction- Other Electronic Devices*

Distraction- Cell Phone

Crashes People

People

* Examples: DVD player, Stereo, GPS Unit, etc.

Other Distraction In or On Vehicle **

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14 -

19

20 -

24

25 -

29

30 -

34

35 -

39

40 -

44

45 -

49

50 -

54

55 -

59

60 -

64

65 -

69

70 -

74

75 -

79

80 -

84

85 -

89

90 -

9495+

Other Distraction 356 292 257 204 199 140 159 148 143 105 98 61 30 25 12 5 0

Cell Phone 187 158 123 103 84 72 50 64 41 47 21 19 13 3 2 1 0

Electronic Device 596 56 38 26 29 25 18 24 17 20 10 3 4 2 0 0 1

0

50

100

150

200

250

300

350

Nu

mb

er

of

Dri

vers

Age Group

Distracted Drivers by Age Group

Other Distraction Cell Phone Electronic Device

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Gender Crashes

Fatal

Crashes Total Fatal Injury PDO Deaths Injuries

Female 40,687 153 32,503 140 7,410 24,953 169 10,640

Male 50,588 464 40,123 343 8,809 30,967 388 12,338

Unknown 3,150 7 3,126 7 281 2,838 7 330

Total 94,425 624 58,829* 407* 12,399* 46,019* 461* 17,116*

* The totals reflect crashes and people for Kansas in 2017 and not the sum of the cells above, as multiple

counting occurs when drivers of different gender are involved in the same crash.

DRIVER SUMMARY

Crashes People

By Gender

Drivers Involved in

40,687

50,588

3,150

-

10,000

20,000

30,000

40,000

50,000

60,000

Female Male Unknown

Dri

ve

rs

Drivers Involved in Crashes by Gender

153

464

7 -

50

100

150

200

250

300

350

400

450

500

550

Female Male Unknown

Dri

vers

Drivers Involved in Fatal Crashes by Gender

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Driver

Age All Crashes Fatal Crashes

Injury

Crashes Total Fatal Injury

1 - 13 18 0 7 17 0 6

14 153 1 40 152 1 40

15 - 19 11,361 41 2,708 10,547 39 2,550

20 - 24 12,256 62 2,829 11,493 59 2,666

25 - 29 9,985 66 2,298 9,491 66 2,172

30 - 34 8,449 51 1,968 8,088 49 1,860

35 - 39 7,558 51 1,795 7,267 51 1,714

40 - 44 6,497 54 1,583 6,263 50 1,518

45 - 49 6,124 45 1,412 5,960 44 1,358

50 - 54 6,183 57 1,424 6,011 54 1,375

55 - 59 6,178 53 1,373 5,986 52 1,314

60 - 64 5,367 43 1,264 5,248 43 1,231

65 - 69 3,785 25 839 3,701 25 816

70 - 74 2,757 20 635 2,697 20 622

75 - 79 1,693 19 397 1,672 19 395

80 - 84 1,109 14 282 1,101 14 281

85 - 89 620 12 144 619 12 143

90 - 94 189 3 44 189 3 44

95 + 50 1 8 48 1 7

Unknown 4,093 6 465 4,054 6 459

Total 94,425 624 21,515 58,829* 407* 12,399*

* The totals reflect all crashes in Kansas for 2017, not the sum of the cells above, as multiple counting

occurs when drivers of different age groups are involved in the same crash.

Driver Age Summary

Crashes Per Age GroupDRIVERS Involved In2

By Age Group

0

10

20

30

40

50

60

70

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

All C

rash

es

Fata

l C

rash

es

Drivers Involved in CrashesBy Age Group


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Driver

Age Total

% of

All* Fatal Injury PDO Deaths Injuries

Impaired

Drivers Crashes

% of

Total

14 152 0.26% 1 40 111 1 68 0 0 0.0%

15 660 1.12% 5 164 491 6 249 2 2 0.3%

16 1,945 3.31% 8 461 1,476 8 697 11 11 0.6%

17 2,637 4.48% 5 621 2,011 7 918 24 24 0.9%

18 2,996 5.09% 11 741 2,244 14 1,021 45 45 1.5%

19 2,860 4.86% 11 672 2,177 15 954 65 65 2.3%

20 2,603 4.42% 12 613 1,978 14 848 63 63 2.4%

21 2,553 4.34% 14 618 1,921 16 885 121 121 4.7%

22 2,408 4.09% 9 543 1,856 10 765 76 76 3.2%

23 2,325 3.95% 15 509 1,801 16 733 86 86 3.7%

24 2,186 3.72% 12 508 1,666 14 731 85 85 3.9%

25 2,110 3.59% 13 455 1,642 14 635 79 79 3.7%

26 2,056 3.49% 7 495 1,554 7 771 88 88 4.3%

27 2,037 3.46% 15 490 1,531 16 700 74 74 3.6%

28 1,915 3.26% 17 432 1,466 18 634 56 56 2.9%

29 1,772 3.01% 14 406 1,352 22 600 58 58 3.3%

30 1,723 2.93% 10 382 1,331 11 553 48 48 2.8%

* % of All - Divides all crashes per age by all crashes for Kansas in 2017.

Driver Age Summary

Alcohol-RelatedAll Crashes Per Driver Age People

Ages 14-30

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Age

Percentage of Alcohol-Related Crashes to All Crashes by Driver Age

% of Total

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Collision with� Crashes % of All Deaths Injuries

Other Motor Vehicle* 32,116 54.6% 209 11,431

Animal 9,977 17.0% 7 418

Fixed Object 8,416 14.3% 135 2,722

Parked Motor Vehicle 3,740 6.4% 1 261

Overturned 1,586 2.7% 52 1,103

Other Non_Collision 1,321 2.2% 9 383

Other Object 823 1.4% 3 104

Pedestrian 389 0.7% 33 353

Pedalcycle 321 0.5% 5 308

Unknown 110 0.2% 1 20

Railway Train 30 0.1% 6 13

Total 58,829 100 461 17,116

First Harmful Event

Note: In 2017, 74.6% of crash fatalities involved a collision with another vehicle (45.3%) or fixed object

(29.3%).

CRASHES BY TYPE

38

77

617

976

991

3,646

11,966

13,805

Unknown

Other

Side Opposing

Backed Into

Head On

Side Overtaking

Angle

Rear End

*Type of Collision with Other Motor Vehicle

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1,154

1,114

816 812

741

537532 527

331 319

279

245 236

203

131 12198

80

47 4726 14 6

0

200

400

600

800

1000

1200

1400

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Utilit

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Cro

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Ove

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po

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Un

kn

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Nu

mb

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Cra

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es

Fixed Object Type

Type of Collision with Fixed Object

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2007 10,383 10 440 9,933 10 538

2008 10,247 9 449 9,789 9 545

2009 10,539 6 441 10,092 7 529

2010 10,232 5 463 9,764 5 555

2011 10,160 2 436 9,722 2 527

2012 9,740 4 475 9,261 4 556

2013 9,179 9 429 8,741 9 528

2014 9,630 2 448 9,180 2 535

2015 10,099 7 461 9,631 8 532

2016 10,281 7 501 9,773 7 599

2017 10,225 6 484 9,735 8 577

Total 110,715 67 5,027 105,621 71 6,021

In 2017, 17.4% of all crashes in Kansas involved striking deer.

PeopleCrashes

Deer Crashes

-

2

4

6

8

10

12

380

400

420

440

460

480

500

520

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

Fata

l C

rash

es

Inju

ry

Cra

sh

es

Injury & Fatal Deer Crashes

Injury Fatal

-

2,000

4,000

6,000

8,000

10,000

12,000

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

Cra

sh

es

Total & PDO Deer Crashes

Total PDO

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136

276

438

1428 269

902

63 149

48 125 1 8 42 9221

681

4

166

251 59 89 106

188 206

697

143

463

106

250

118

268

165

343 193

425

92 187 76 296 170

442 184

457

131

223

126

345

72 166

201

1316

118

597 64 13

5105

231

168

406

95 229

51 162

94 248 32

144

86 90 205

76 213

117

30658 30

2 313

2942

19 68

234

1400

340

1142

1

192

56363 1378

44 7877 11

920

759

77 15

134

218

29 72

83 212

385

1121

6

275

1274

23 65

102

143

132

535

100

190

151

259

167

503

193

507

93 136

115

210

141

1174

108

230

122

654

67 106

84 142

58 8598 14

384 17

0

94 236

53 105

64 9622 83

64 118

9 420 424 534 18

3 14

24 8610 37

0 209 33 19 11836 85

18 52

16 43 34 200 10 75 9 65

54 650

34 344

28 1077 33 20 63 11 20

25 7022 90

30 70 111

76938 7182 17

1 46 10352 88 19 52

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2007 4,843 186 2,847 1,810 202 4,028

2008 4,173 155 2,550 1,468 165 3,613

2009 4,024 168 2,405 1,451 187 3,523

2010 3,794 155 2,259 1,380 176 3,223

2011 3,888 144 2,308 1,436 157 3,260

2012 3,974 171 2,511 1,292 193 3,522

2013 4,000 136 2,289 1,575 139 3,231

2014 3,949 135 2,314 1,500 162 3,186

2015 3,817 152 2,219 1,446 171 3,126

2016 3,895 164 2,299 1,432 182 3,149

2017 3,144 144 1,800 1,199 153 2,409

Total 43,501 1,710 25,801 15,989 1,887 36,270

In 2017, 5.34% of all crashes and 35.4% of all fatal crashes involve vehicles overturning.

Vehicle Overturn Crashes

PeopleCrashes

-

20

40

60

80

100

120

140

160

180

200

-

1,000

2,000

3,000

4,000

5,000

6,000

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

l C

rash

es

To

tal C

rash

es

Overturn Crashes

Total Fatal

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Year Total Deaths Injuries Unharmed/Unknown

2007 499 20 472 7

2008 432 19 399 14

2009 437 21 382 34

2010 448 17 398 33

2011 461 13 433 15

2012 555 28 493 34

2013 465 27 397 41

2014 469 24 415 30

2015 439 24 377 37

2016 509 40 443 24

2017 444 34 374 29

Total 5,158 267 4,583 298


2007 285 2 279 4

2008 291 6 269 16

2009 309 6 282 21

2010 301 1 279 21

2011 332 2 314 16

2012 370 6 337 27

2013 365 6 333 26

2014 330 7 301 22

2015 346 3 321 22

2016 373 5 345 23

2017 333 5 298 30

Total 3,635 49 3,358 228


2007 40 - 38 2

2008 36 - 36 -

2009 96 1 35 60

2010 164 1 45 118

2011 231 - 56 175

2012 197 4 44 149

2013 231 - 36 195

2014 259 - 49 210

2015 216 1 43 172

2016 198 3 41 154

2017 153 - 47 106

Total 1,821 10 470 1,341

* Animal rider or occupants in an animal-drawn carriage, legally parked vehicle, machine, etc.

Pedestrians Involved in CrashesPedestrians

Pedal Cyclists

Other*

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10

20

32

48

43

33

31

18

29

1718

21

19

15

8

2

43

0 0

3

0

10

20

30

40

50

60

1

-

4

5

-

9

10

- 1

4

15

- 1

9

20

- 2

4

25

- 2

9

30

- 3

4

35

- 3

9

40

- 4

4

45

- 4

9

50

- 5

4

55

- 5

9

60

- 6

4

65

- 6

9

70

- 7

4

75

- 7

9

80

- 8

4

85

- 8

9

90

- 9

4

95

+

Un

kn

ow

n

Nu

mb

er

of

Inju

rie

s a

nd

*F

ata

litie

s

Age Group

Pedestrians Involved in Crashes by Age and Injury Severity

(6*)

(3*)

(1*)

(3*)

(1*)

(1*)

(1*)

(2*)

(2*)

(2*)

(6*)

(1*)

(1*)

(1*)

(3*)

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2

25

48

40

29

22

1315 15

17

25

19

13

9

21 1

0 0 02

0

10

20

30

40

50

60

70

80

1

-

4

5

-

9

10

- 1

4

15

- 1

9

20

- 2

4

25

- 2

9

30

- 3

4

35

- 3

9

40

- 4

4

45

- 4

9

50

- 5

4

55

- 5

9

60

- 6

4

65

- 6

9

70

- 7

4

75

- 7

9

80

- 8

4

85

- 8

9

90

- 9

4

95

+

Un

kn

ow

n

Nu

mb

er

of

Inju

rie

s a

nd

*F

ata

litie

s

Age Group

Pedal Cyclists Involved in Crashes by Age and Injury Severity

(1*)

(1*)

(1*)

(1*)

(1*)

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Body Type No. of Vehicles % of All

Car 49,767 52.44%

Sport Utility Vehicle 18,513 19.51%

Pickup Truck 15,293 16.12%

Van 4,560 4.81%

Tractor-Trailer(s) 1,773 1.87%

Unknown 1,648 1.74%

Motorcycle 986 1.04%

Single Truck More Than 4 Tires 862 0.91%

Truck & Trailer(s) 614 0.65%

Other 199 0.21%

School Bus 195 0.21%

Farm Equipment 120 0.13%

All-Terrain Vehicle 83 0.09%

Moped/Scooter 80 0.08%

Transit Bus 69 0.07%

Camper or Recreational Vehicle 68 0.07%

Other Bus 34 0.04%

Train 33 0.03%

Cross Country Bus 1 0.00%

Total 94,898 100%

Body Type No. of Vehicles % of All

Automobile 202 31.91%

Sport Utility Vehicle 124 19.59%

Pickup Truck 121 19.12%

Motorcycle 62 9.79%


Van 21 3.32%

Single Truck More Than 4 Tires 15 2.37%


All-Terrain Vehicle 6 0.95%

Train 6 0.95%

Unknown 3 0.47%

Farm Equipment 3 0.47%

Camper or Recreational Vehicle 3 0.47%

Moped/Scooter 1 0.16%

Other 0 0.00%

Other Bus 0 0.00%

School Bus 0 0.00%

Transit Bus 0 0.00%

Cross Country Bus 0 0.00%

Total 633 100%

Vehicle Body Types

In Fatal Crashes

In All Crashes

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2007 32,133 176 5,829 26,128 185 7,367

2008 30,213 185 5,406 24,622 194 6,788

2009 28,406 185 5,034 23,187 200 6,431

2010 27,884 183 4,872 22,829 193 6,151

2011 27,496 165 4,715 22,616 175 5,836

2012 26,446 183 4,944 21,319 197 6,191

2013 27,027 169 4,740 22,118 177 5,907

2014 26,966 159 4,455 22,352 171 5,480

2015 27,185 175 4,306 22,704 191 5,322

2016 26,633 169 4,259 22,204 178 5,190

2017 25,355 182 3,960 21,212 197 4,755

Total 305,744 1,931 52,520 251,291 2,058 65,418

*Crashes that involve just one vehicle in transport and no pedestrians.

In 2017, 39.9% of all single-vehicle crashes involved a collision with a deer.

PeopleCrashes

Single-Vehicle* Crashes

145

150

155

160

165

170

175

180

185

190

-

5,000

10,000

15,000

20,000

25,000

30,000

35,000

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

l C

rashes

Tota

l C

rashes

Single-Vehicle Crashes

Total Fatal

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2007 3,872 72 864 2,936 80 1,250

2008 3,714 52 846 2,816 63 1,152

2009 2,877 50 597 2,230 59 860

2010 3,051 67 655 2,329 85 940

2011 3,422 54 722 2,646 64 1,019

2012 2,956 49 639 2,268 58 907

2013 3,230 64 675 2,491 70 942

2014 3,323 44 684 2,595 49 935

2015 3,221 62 629 2,530 69 874

2016 3,225 61 690 2,473 74 938

2017 3,103 75 621 2,407 92 819

Total 35,994 650 7,622 27,721 763 10,636

PeopleCrashes

In 2017, heavy / large trucks were involved in 5.3% of all crashes and 18.4% of fatal crashes.

Crashes Involving Heavy / Large Trucks

0

10

20

30

40

50

60

70

80

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

4,500

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

l C

rash

es

To

tal C

rash

es

Heavy / Large Truck Summary

Total Fatal

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All

Year Crashes Total % of All Fatal Injury PDO Deaths Injuries

2007 70,662 1,110 1.6% 47 886 177 47 1,033

2008 65,913 1,139 1.7% 44 930 165 45 1,087

2009 61,124 1,044 1.7% 45 787 212 46 930

2010 60,663 961 1.6% 41 741 179 43 851

2011 60,399 1,106 1.8% 45 840 221 45 971

2012 58,482 1,328 2.3% 46 1,014 268 46 1,163

2013 59,386 968 1.6% 36 750 182 36 843

2014 60,046 966 1.6% 43 749 174 46 866

2015 61,516 972 1.6% 41 735 196 42 857

2016 62,463 998 1.6% 50 755 193 52 866

2017 58,829 945 1.6% 55 692 198 55 795

Total 679,483 11,537 1.7% 493 8,879 2,165 503 10,262

Year Total

Helmets

Used

% Using

Helmets Deaths

Helmets

Used

% Using

Helmets Injuries

Helmets

Used

% Using

Helmets

2007 1,257 473 37.6% 46 14 30.4% 987 368 37.3%

2008 1,304 487 37.3% 44 11 25.0% 1,029 386 37.5%

2009 1,204 451 37.5% 45 14 31.1% 889 348 39.1%

2010 1,091 392 35.9% 39 8 20.5% 804 305 37.9%

2011 1,258 535 42.5% 45 12 26.7% 925 409 44.2%

2012 1,487 568 38.2% 45 10 22.2% 1,099 451 41.0%

2013 1,082 406 37.5% 35 15 42.9% 812 320 39.4%

2014 1,095 442 40.4% 46 17 37.0% 835 337 40.4%

2015 1,115 461 41.3% 41 15 36.6% 820 344 42.0%

2016 1,128 467 41.4% 52 21 40.4% 827 353 42.7%

2017 1,062 444 41.8% 55 18 32.7% 758 336 44.3%

Total 13,083 5,126 39.2% 493 155 31.4% 9,785 3,957 40.4%

Crashes Involving Motorcycles

PeopleMotorcycle Crashes

Motorcycle Occupants Motorcycle Deaths Motorcycle Injuries

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All

Year Crashes Total % of All Fatal Injury PDO Deaths Injuries

2007 70,662 61 0.1% 2 49 10 2 52

2008 65,913 74 0.1% 1 62 11 1 68

2009 61,124 82 0.1% 1 74 7 1 77

2010 60,663 115 0.2% 2 99 14 2 112

2011 60,399 93 0.2% - 80 13 - 83

2012 58,482 144 0.2% 2 121 21 2 129

2013 59,386 107 0.2% - 97 10 - 104

2014 60,046 129 0.2% 1 112 16 1 121

2015 61,516 83 0.1% 4 69 10 4 75

2016 62,463 97 0.2% 1 89 7 1 95

2017 58,829 80 0.1% 1 66 13 1 70

Total 679,483 1,065 0.2% 15 918 132 15 986

Year Total

Helmets

Used

% Using

Helmets Deaths

Helmets

Used

% Using

Helmets Injuries

Helmets

Used

% Using

Helmets

2007 64 11 17.2% 2 - 0.0% 52 11 21.2%

2008 80 22 27.5% 1 - 0.0% 64 16 25.0%

2009 85 21 24.7% 1 - 0.0% 76 19 25.0%

2010 119 27 22.7% 2 - 0.0% 97 23 23.7%

2011 97 15 15.5% - - 0.0% 81 15 18.5%

2012 155 37 23.9% 2 1 0.0% 121 31 25.6%

2013 116 24 20.7% - - 50.0% 103 24 23.3%

2014 138 29 21.0% 1 - 0.0% 119 27 22.7%

2015 90 17 18.9% 4 - 0.0% 73 16 21.9%

2016 104 20 19.2% 1 - 0.0% 93 18 19.4%

2017 83 16 19.3% 1 - 0.0% 67 14 20.9%

Total 1,131 239 21.1% 15 1 6.7% 946 214 22.6%

Crashes Involving Moped/Motor Scooters

Moped / Motor Scooters Occupants Moped / Motor Scooters Deaths Moped / Motor Scooters Injuries

Helmet Use in Crashes

PeopleMoped / Motor Scooters Crashes

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Vehicles

Year Total Fatal Injury PDO Deaths Injuries Total Total Deaths Injuries

2007 255 0 57 198 0 111 469 3 0 3

2008 281 1 61 219 1 143 513 5 0 5

2009 237 1 55 181 2 95 429 3 0 3

2010 223 1 48 174 1 101 400 2 1 1

2011 200 1 38 161 1 72 360 3 0 3

2012 228 2 39 187 2 79 408 5 0 0

2013 242 1 36 205 1 104 428 17 0 0

2014 217 0 39 178 0 73 391 2 0 0

2015 240 0 38 202 0 98 428 2 0 0

2016 224 0 36 187 0 71 394 2 0 1

2017 217 0 39 178 0 125 382 2 0 2

Total 2,584 11 519 2,054 13 1,071 4,661 46 1 18

*The school bus crash definition was modified in 2009 and is reflected in all of the data above. See the Definition

pages.

Crashes Involving School Buses*

Note: These data reflect crashes and injury severity where at least one school bus was involved. In addition, all

other vehicles involved along with the associated occupants are included. The pedestrian information reflects any

individual involved in a school bus crash who was either walking or riding a pedalcycle and does not necessarily

reflect that they are school children.

PeopleCrashes Pedestrians

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2007 123 2 29 92 2 38

2008 108 2 27 79 2 41

2009 123 1 28 94 1 47

2010 120 3 22 95 3 33

2011 116 3 23 90 5 31

2012 119 1 32 86 1 46

2013 103 1 29 73 1 37

2014 94 3 27 64 3 41

2015 109 - 37 72 - 45

2016 111 1 19 91 1 29

2017 118 3 28 86 3 41

Total 1,244 20 301 922 22 429

PeopleCrashes

In 2017, 0.74% of all public roadway fatal crashes involved farm equipment.

Farm Equipment Crashes

-

1

1

2

2

3

3

4

90

95

100

105

110

115

120

125

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

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rash

es

To

tal C

rash

es

Farm Equipment Crashes

Total Fatal

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2007 246 9 95 142 9 136

2008 256 4 104 148 6 151

2009 211 4 66 141 5 108

2010 171 1 48 122 1 68

2011 208 6 70 132 6 98

2012 212 4 85 123 6 134

2013 217 2 92 123 2 121

2014 230 7 75 148 7 118

2015 203 2 74 127 2 112

2016 244 6 74 163 6 119

2017 250 6 89 155 7 129

Total 2,448 51 872 1,524 57 1,294

In 2017, police pursuits were involved in 0.4% of all crashes and 1.5% of fatal crashes.

Crashes Involving Police Pursuit

PeopleCrashes

-

1

2

3

4

5

6

7

8

9

10

-

50

100

150

200

250

300

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Fata

l C

rash

es

To

tal C

rash

es

Police Pursuit Summary

Total Fatal

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Railroad Crossings


2007 308 5 67 236 5 96

2008 305 5 80 220 6 109

2009 226 1 56 169 1 76

2010 260 6 67 187 6 87

2011 219 8 46 165 9 69

2012 216 6 61 149 7 95

2013 183 3 34 146 3 41

2014 209 2 37 170 3 45

2015 209 4 50 155 4 67

2016 229 4 44 181 4 59

2017 154 7 38 109 7 54

Total 2,518 51 580 1,887 55 798

Collision w/Train


2007 46 4 11 31 4 14

2008 33 3 12 18 4 14

2009 35 1 11 23 1 16

2010 36 6 12 18 6 15

2011 31 8 7 16 9 10

2012 30 3 13 14 4 17

2013 31 1 6 24 1 7

2014 34 1 7 26 1 7

2015 31 1 9 21 1 13

2016 33 2 12 19 2 18

2017 32 6 12 14 6 15

Total 372 36 112 224 39 146

Crashes at Railroad Crossings

In 2017, 18.8% of all collisions with a railway train resulted in one or more fatalities.

Crashes People

Crashes People

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Non-

Inersection Intersection

Intersection-

Related Roadside

Parking

Lot

Interchange

Area Shoulder

Toll

Plaza Median Unknown

On

Crossover*

Rest

Area Other

All Crashes 28,133 11,439 7,019 3,325 2,724 4,184 607 82 465 49 29 605 168

Fatal Crashes 185 81 15 71 10 19 21 - 4 - - 1 -

Crashes by Location

*Crossover - a paved or unpaved area between roadway lanes allowing vehicles to crossover from one direction of travel to another

-

20

40

60

80

100

120

140

160

180

200

-

5,000

10,000

15,000

20,000

25,000

30,000

All C

rash

es

Fata

l C

rash

es


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Straight

and Level

Straight

on Grade

Curved and

Level

Curved

on Grade

Straight at

Hillcrest

Curved at

Hillcrest Other Unknown

All Crashes 45,293 8,003 2,581 1,800 845 124 34 149

Fatal Crashes 273 71 25 28 6 4 0 0

In 2017, 77.0% of all crashes occurred where the road was straight and level.

Road Characteristics for Crashes

-

50

100

150

200

250

300

-

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

All

Cra

sh

es

Fata

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rash

es


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Dry Wet

Ice or

Snowpacked

Snow or

Slush Unknown

Mud, Dirt,

or Sand Other

Standing

Moving

Debris

(oil, etc.)

All Crashes 51,023 5,964 464 682 338 215 26 105 12

Fatal Crashes 364 30 2 - 1 9 1 - -

In 2017, 86.7% of all crashes occurred when the road surface condition was dry.

Road Surface Conditions for Crashes

-

50

100

150

200

250

300

350

400

-

10,000

20,000

30,000

40,000

50,000

60,000

All

Cra

sh

es

Fata

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rash

es


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2007 1,632 6 382 1,244 7 546

2008 1,694 6 410 1,278 7 610

2009 1,293 1 339 953 1 513

2010 1,556 4 418 1,134 4 593

2011 1,626 6 401 1,219 7 571

2012 1,789 7 430 1,352 8 631

2013 1,133 5 273 855 6 386

2014 1,356 7 301 1,048 7 414

2015 1,728 4 357 1,367 4 493

2016 2,074 5 483 1,586 5 690

2017 1,769 8 358 1,403 12 491

Total 17,650 59 4,152 13,439 68 5,938

In 2017, 29 pedestrians were involved in work zone crashes.

Work Zone Crash Summary

Crashes People

0 500 1,000 1,500 2,000 2,500

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

Crashes

Crashes in Work Zones

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In 2017, 62.6% of all motor vehicle crashes and 58.3% of fatal crashes occurred during daylight hours.

DAYLIGHT

DARK--NO

STREET

LIGHTS

DARK--

STREET

LIGHTS ON

Dawn Dusk UNKNOWN

36,821 9,726 8,039 2,140 1,628 475

-

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

Cra

sh

es

Light Conditions During Crashes

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No Adverse

Conditions

88.3%

Rain, Mist or Dizzle

8.0%

Snow

1.0%

Snow & winds

0.1%

Strong winds

0.6%

Freezing Rain

0.3%

Sleet

0.0%

Fog

0.6%

Unknown

0.5%

Rain and Wind

0.3%

Other

0.0%

Blowing dust, sand,

etc.

0.1%

Rain & fog

0.0%

Sleet and Fog

0.0%Smoke

0.0%

Weather Conditions During Crashes

In 2017, 89.2% of fatal crashes occur under no adverse weather conditions.

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2007 10,351 29 1,842 8,480 33 2,531

2008 7,653 21 1,382 6,250 22 1,852

2009 4,918 18 857 4,043 20 1,205

2010 5,519 20 1,004 4,495 21 1,532

2011 5,803 19 997 4,787 20 1,328

2012 2,132 10 364 1,758 11 512

2013 5,707 14 1,081 4,612 15 1,458

2014 5,820 15 944 4,861 17 1,277

2015 4,208 15 729 3,464 16 1,050

2016 2,534 12 428 2,094 12 578

2017 1,286 5 232 1,049 8 300

Total 55,931 178 9,860 45,893 195 13,623

Crashes People

In 2017, 2.2% of all crashes occurred during snow and/or ice conditions.

Crashes Involving Snow and Ice

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Time

Total

Crashes

% of

Total Deaths

% of

Deaths12:00-12:59 AM 1,149 2.0% 27 5.9%

1:00-1:59 831 1.4% 11 2.4%

2:00-2:59 798 1.4% 8 1.7%

3:00-3:59 582 1.0% 11 2.4%

4:00-4:59 620 1.1% 10 2.2%

5:00-5:59 1,211 2.1% 11 2.4%

6:00-6:59 2,278 3.9% 22 4.8%

7:00-7:59 3,927 6.7% 17 3.7%

8:00-8:59 2,520 4.3% 8 1.7%

9:00-9:59 1,970 3.3% 16 3.5%

10:00-10:59 2,097 3.6% 13 2.8%

11:00-11:59 2,639 4.5% 15 3.3%

12:00-12:59 PM 3,060 5.2% 21 4.6%

1:00-1:59 2,936 5.0% 24 5.2%

2:00-2:59 3,082 5.2% 34 7.4%

3:00-3:59 4,452 7.6% 31 6.7%

4:00-4:59 4,324 7.4% 13 2.8%

5:00-5:59 5,306 9.0% 29 6.3%

6:00-6:59 3,954 6.7% 24 5.2%

7:00-7:59 2,793 4.7% 22 4.8%

8:00-8:59 2,557 4.3% 35 7.6%

9:00-9:59 2,502 4.3% 21 4.6%

10:00-10:59 1,751 3.0% 18 3.9%

11:00-11:59 1,241 2.1% 16 3.5%

Unknown 249 0.4% 4 0.9%

Total 58,829 100% 461 100%

Hourly

TIME TRENDS

-

1,000

2,000

3,000

4,000

5,000

6,000

12

:00

-12

:59

AM

2:0

0-2

:59

4:0

0-4

:59

6:0

0-6

:59

8:0

0-8

:59

10

:00

-10

:59

12

:00

-12

:59

PM

2:0

0-2

:59

4:0

0-4

:59

6:0

0-6

:59

8:0

0-8

:59

10

:00

-10

:59

Cra

she

s

Crashes by Time of Day

0

5

10

15

20

25

30

35

12

:00

-12

:59

AM

3:0

0-3

:59

6:0

0-6

:59

9:0

0-9

:59

12

:00

-12

:59

PM

3:0

0-3

:59

6:0

0-6

:59

9:0

0-9

:59

De

ath

s

Deaths by Time of Day

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Day Crashes

% of

Total Deaths

% of

Total

Sunday 6,115 10.4% 77 16.7%

Monday 8,266 14.1% 51 11.1%

Tuesday 8,650 14.7% 70 15.2%

Wednesday 8,744 14.9% 53 11.5%

Thursday 9,301 15.8% 51 11.1%

Friday 9,950 16.9% 70 15.2%

Saturday 7,747 13.2% 89 19.3%

Unknown 56 0.1% 0 0.0%

Total 58,829 100% 461 100%

Daily

Time Trends

Sunday10.4%

Monday14.1%

Tuesday14.7%

Wednesday14.9%

Thursday15.8%

Friday16.9%

Saturday13.2%

Crashes by Day of Week

Sunday16.7%

Monday11.1%

Tuesday15.2%

Wednesday11.5%

Thursday11.1%

Friday15.2%

Saturday19.3%

Deaths by Day of Week

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Month Crashes

% of

Total Deaths

% of

Total

January 4,455 7.6% 35 7.6%

February 3,814 6.5% 29 6.3%

March 4,533 7.7% 44 9.5%

April 4,662 7.9% 33 7.2%

May 5,417 9.2% 32 6.9%

June 4,950 8.4% 42 9.1%

July 4,566 7.8% 56 12.1%

August 4,793 8.1% 38 8.2%

September 4,916 8.4% 46 10.0%October 5,368 9.1% 35 7.6%

November 6,278 10.7% 35 7.6%

December 5,023 8.5% 36 7.8%

Unknown 54 0.1% 0 0.0%

Total 58,829 100% 461 100%

Monthly

Time Trends

January7.6%

February6.3%

March9.5%

April7.2%

May6.9%

June9.1%

July12.1%

August8.2%

September10.0%

October7.6%

November7.6%

December7.8%

Deaths by MonthJanuary

7.6%February

6.5%

March7.7%

April7.9%

May9.2%

June8.4%

July7.8%

August8.1%

September8.4%

October9.1%

November10.7%

December8.5%

Crashes by Month

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New Year's

2017 Friday-

Monday

Average

Friday-

Monday

for 2017

464 475

103 100

5 4

28 23

11 8

2 0

Year Time Period Hours Total Fatal Injury PDO Deaths Injuries

2013 2012-2013 102 737 2 121 614 2 170

2014 2013-2014 30 54 0 9 45 0 12

2015 2014-2015 102 759 2 147 610 2 222

2016 2015-2016 78 336 2 59 275 2 99

2017 2016-2017 78 464 5 103 356 5 140

2013 2012-2013 102 42 0 12 30 0 17

2014 2013-2014 30 6 0 3 3 0 5

2015 2014-2015 102 40 0 15 25 0 27

2016 2015-2016 78 38 1 12 25 1 34

2017 2016-2017 78 28 2 11 15 2 16

Note: Data includes crashes occurring from 6:00 p.m. the first day (excluding unknown "Time of Crash") to 12:00

midnight the last day.

5 - Year History

Crash Type

All Crashes

Injury Crashes

Fatal Crashes


Alcohol-Related Injury Crashes

Friday - Monday; 78-Hour Reporting Period

ALCOHOL-RELATED

Alcohol-Related Fatal Crashes

Crashes People

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Super

Bowl 2017

Friday-

Monday

Average

Friday-

Monday

for 2017

374 475

72 100

0 4

24 23

10 8

0 0


2013 Feb. 1st-Feb. 4th 78 455 5 107 343 6 148

2014 Jan. 31st-Feb. 3rd 78 804 3 137 664 3 179

2015 Jan. 30th-Feb. 2nd 78 560 3 97 460 3 134

2016 Feb. 5th-Feb. 8th 78 395 4 74 317 4 110

2017 Feb. 3rd-Feb. 6th 78 374 0 72 302 0 99

2013 Feb. 1st-Feb. 4th 78 40 3 18 19 3 22

2014 Jan. 31st-Feb. 3rd 78 38 1 11 26 1 15

2014 Jan. 30th-Feb. 2nd 78 31 1 13 17 1 13

2015 Feb. 5th-Feb. 8th 78 20 1 5 14 1 6

2016 Feb. 3rd-Feb. 6th 78 24 0 10 14 0 11

5 - Year History

Friday-Monday; 78-Hour Reporting Period

Crash Type

All Crashes

Injury Crashes

Fatal Crashes




Crashes People

ALCOHOL-RELATED



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St. Patrick's

Day 2017

Thursday-

Sunday

Average

Thursday-

Sunday for

2017

463 499

109 405

6 4

30 24

6 8

1 1


2013 Mar. 15th-Mar. 18th 78 351 1 88 262 1 124

2014 Mar. 14th-Mar. 17th 78 398 3 99 296 6 128

2015 Mar. 13th-Mar. 17th 102 509 2 114 393 2 148

2016 Mar. 16th-Mar. 20th 102 550 4 129 417 4 178

2017 Mar. 16th-Mar. 19th 78 463 6 109 348 6 149

2013 Mar. 15th-Mar. 18th 78 29 1 16 12 1 27

2014 Mar. 14th-Mar. 17th 78 25 1 9 15 1 13

2015 Mar. 13th-Mar. 17th 102 18 0 8 10 0 10

2016 Mar. 16th-Mar. 20th 102 32 2 9 21 2 10

2017 Mar. 16th-Mar. 19th 78 30 1 6 23 1 8

Thursday-Sunday; 78-Hour Reporting Period

Crash Type

All Crashes

5-Year History

Injury Crashes

Fatal Crashes




Crashes People

ALCOHOL-RELATED



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Memorial

Day 2017

Friday -

Monday

Average

Friday -

Monday

for 2017

408 475

97 100

4 4

26 23

10 8

1 0


2013 May 24th-27th 78 453 3 109 341 3 179

2014 May 24th-27th 78 424 3 92 329 3 133

2015 May 22nd-25th 78 421 4 90 327 6 135

2016 May 27th-30th 78 402 1 105 296 1 135

2017 May 26th-29th 78 408 4 97 307 4 143

2013 May 24th-27th 78 36 2 18 16 2 29

2014 May 24th-27th 78 40 2 18 20 2 25

2015 May 22nd-25th 78 24 1 7 16 2 9

2016 May 27th-30th 78 38 1 16 21 1 23

2017 May 26th-29th 78 26 1 10 15 1 10



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5 - Year History



PeopleCrashes

Injury Crashes

Fatal Crashes


Crash Type

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4th of July

2017

Friday-

Tuesday

Average

Friday-

Tuesday

for 2017

549 642

113 135

7 5

23 27

10 10

0 1

Year Time Period

Hours Total Fatal Injury PDO Deaths Injuries

2013 July 3rd-7th 102 558 6 122 430 6 183

2014 July 3rd-6th 78 398 3 97 298 3 140

2015 July 3rd-6th 78 426 2 103 321 2 138

2016 July 1st-4th 78 456 5 98 353 6 152

2017 June 30th-July 4th 102 549 7 113 428 7 159

2013 July 3rd-7th 102 37 2 13 22 2 20

2014 July 3rd-6th 78 34 1 17 16 1 23

2015 July 3rd-6th 78 34 0 15 19 0 23

2016 July 1st-4th 78 27 1 12 14 1 17

2017 June 30th-July 4th 102 23 0 10 13 0 11

ALCOHOL-RELATED



Crashes People

5 - Year History


Injury Crashes

Fatal Crashes

Friday - Tuesday; 102-Hour Reporting Period

Crash Type

All Crashes



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Labor Day

2017

Friday -

Monday

Average

Friday -

Monday

for 2017

387 475

88 100

6 4

33 23

9 8

1 0


2013 Aug. 30th-Sept. 2nd 78 395 5 107 283 5 159

2014 Aug. 29th-Sept. 1st 78 380 1 96 283 1 136

2015 Sept. 4th-7th 78 441 10 116 315 10 170

2016 Sept. 2nd-5th 78 417 6 99 312 6 157

2017 Sept. 1st-4th 78 387 6 88 293 6 116

2013 Aug. 30th-Sept. 2nd 78 31 2 15 14 2 24

2014 Aug. 29th-Sept. 1st 78 27 0 6 21 0 9

2015 Sept. 4th-7th 78 35 4 17 14 4 23

2016 Sept. 2nd-5th 78 26 1 10 15 1 15

2017 Sept. 1st-4th 78 33 1 9 23 1 11



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Halloween

2017 Friday-

Tuesday

Average

Friday-

Tuesday for

2017

753 642 Total 9

130 135 Injured 5

2 5 Fatality 1

27 27 Unharmed 3

9 10

0 1


2013 Oct. 30th-Nov. 3rd 102 847 6 160 681 6 220

2014 Oct. 30th-Nov. 2nd 78 664 0 125 539 0 156

2015 Oct. 30th-Nov. 1st 78 680 4 135 541 4 189

2016 Oct. 28th-31st 78 629 4 134 491 4 193

2017 Oct. 27th-31st 102 753 2 130 621 2 165

2013 Oct. 30th-Nov. 3rd 102 42 2 9 31 2 12

2014 Oct. 30th-Nov. 2nd 78 30 0 9 21 0 11

2015 Oct. 30th-Nov. 1st 78 36 1 14 21 1 15

2016 Oct. 28th-31st 78 19 1 9 9 1 11

2017 Oct. 27th-31st 102 27 0 9 18 0 12

Crash TypePedestrian

Involvement

5 - Year History

Friday-Tuesday; 102-Hour Reporting Period

Injury Crashes

All Crashes

Fatal Crashes




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Thanksgiving

2017

Wednesday -

Sunday

Average

Wednesday

-Sunday for

2017

579 674

118 141

7 5

29 29

12 10

3 1


2013 Nov. 27th-Dec. 1st 102 584 6 110 468 6 155

2014 Nov. 26th-Dec. 2nd 102 538 3 98 437 3 142

2015 Nov. 25th-29th 102 1,141 8 230 903 11 371

2016 Nov. 23rd-27th 102 634 6 140 488 6 200

2017 Nov. 22nd-26th 102 579 7 118 453 9 174

2013 Nov. 27th-Dec. 1st 102 50 3 22 25 3 28

2014 Nov. 26th-Dec. 2nd 102 32 1 14 17 1 16

2015 Nov. 25th-29th 102 32 0 10 22 0 14

2016 Nov. 23rd-27th 102 42 0 21 21 0 28

2017 Nov. 22nd-26th 102 29 3 12 14 3 19

Crashes People

ALCOHOL-RELATED



5 - Year History

Wednesday-Sunday; 102-Hour Reporting Period

Crash Type

All Crashes

Injury Crashes

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Christmas

2017 Friday-

Monday

Average

Friday-

Monday for

2017

438 475

69 100

1 4

24 23

9 8

0 0


2013 Dec. 24th-25th 30 138 1 23 114 1 35

2014 Dec. 24th-28th 102 394 3 73 318 3 106

2015 Dec. 24th-27th 78 514 1 98 415 1 127

2016 Dec. 23rd-26th 78 368 4 68 296 4 94

2017 Dec. 22nd-25th 78 438 1 69 368 1 90

2013 Dec. 24th-25th 30 12 0 4 8 0 4

2014 Dec. 24th-28th 102 29 0 7 22 0 10

2015 Dec. 24th-27th 78 35 0 13 22 0 17

2016 Dec. 23rd-26th 78 24 1 7 16 1 7

2017 Dec. 22nd-25th 78 24 0 9 15 0 10

Injury Crashes

Friday - Monday; 78-Hour Reporting Period

Crash Type

All Crashes

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Fatal Crashes




5 - Year History

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Total Fatal Injury PDO Deaths InjuriesRestraint

Use %Peds* Deer

Speed-

Related

Alcohol-

Related

ALLEN 268 4 42 222 6 59 92.1% 1 118 13 12

ANDERSON 250 6 43 200 7 69 93.3% 3 106 34 11

ATCHISON 302 1 55 246 1 66 89.4% 7 58 20 11

BARBER 119 4 12 103 4 19 80.6% - 77 1 2

BARTON 507 6 75 426 7 106 93.3% 6 193 29 11

BOURBON 296 1 58 237 1 72 92.2% 2 76 7 11

BROWN 213 3 34 176 5 48 92.1% 2 76 6 6

BUTLER 1,428 12 283 1,133 12 381 91.8% 11 438 105 45

CHASE 149 2 21 126 2 28 82.6% 0 63 20 4

CHAUTAUQUA 92 - 22 70 - 37 90.1% 1 42 4 4

CHEROKEE 457 2 67 388 3 115 93.9% 7 184 9 10

CHEYENNE 37 - 8 29 - 12 78.9% - 10 1 1

CLARK 52 1 9 42 1 17 94.0% 0 19 0 0

CLAY 166 4 35 127 4 52 89.4% - 72 5 4

CLOUD 236 2 46 188 2 72 78.0% 7 94 17 8

COFFEY 251 2 30 219 2 43 92.8% 1 166 5 1

COMANCHE 15 3 3 9 3 5 76.0% 0 7 1 1

COWLEY 902 7 157 738 7 218 94.1% 17 269 30 24

CRAWFORD 442 6 87 349 6 118 93.7% 5 170 16 13

DECATUR 33 1 3 29 1 4 98.0% 2 7 1 -

DICKINSON 345 3 65 277 6 83 95.9% 5 126 18 8

DONIPHAN 68 2 18 48 2 31 92.8% - 19 8 4

DOUGLAS 2942 10 479 2453 10 638 92.7% 82 313 164 138

EDWARDS 65 5 10 50 5 15 70.3% - 23 3 6

ELK 8 0 2 6 0 2 100.0% 0 1 0 0

ELLIS 654 5 96 553 5 124 94.2% 10 122 35 20

ELLSWORTH 210 2 33 175 2 51 91.1% 4 115 14 3

FINNEY 650 2 119 529 2 178 92.0% 9 54 44 28

FORD 769 7 80 682 12 126 89.4% 11 111 25 39

FRANKLIN 463 7 90 366 7 110 92.5% 9 143 27 20

GEARY 597 4 142 451 4 178 93.1% 4 118 39 21

GOVE 107 3 24 80 4 30 89.8% - 28 11 4

GRAHAM 88 0 11 77 0 12 95.2% 0 52 5 2

GRANT 118 - 23 95 - 35 85.8% 1 19 7 4

GRAY 90 4 19 67 4 33 84.1% 0 22 7 6

GREELEY 18 1 8 9 1 9 75.0% - 4 3 1

Crashes

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COUNTY NAME

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COUNTY NAME

GREENWOOD 125 5 21 99 8 39 84.6% 1 48 6 4

HAMILTON 53 - 10 43 - 10 81.7% - 24 2 -

HARPER 78 5 7 66 5 10 84.7% 1 44 2 1

HARVEY 535 3 112 420 3 145 91.4% 12 132 50 26

HASKELL 65 2 12 51 2 15 73.9% 0 9 5 3

HODGEMAN 71 1 4 66 1 8 87.5% - 38 3 1

JACKSON 248 4 32 212 6 45 89.0% 1 94 21 7

JEFFERSON 306 5 60 241 6 96 92.3% 3 117 22 19

JEWELL 105 1 9 95 1 11 96.6% 0 53 0 1

JOHNSON 11,421 30 2,591 8,800 33 3,446 95.1% 143 340 931 385

KEARNY 85 1 18 66 1 24 95.2% 0 36 8 0

KINGMAN 218 - 26 192 - 31 86.1% - 134 7 3

KIOWA 72 1 17 54 2 25 96.4% 1 29 1 2

LABETTE 425 4 71 350 4 107 89.8% 3 193 9 13

LANE 20 0 5 15 0 9 80.0% 1 11 1 1

LEAVENWORTH 1,400 8 302 1,090 13 424 93.0% 31 234 152 73

LINCOLN 106 0 9 97 0 11 91.9% 0 67 5 2

LINN 187 1 23 163 2 34 81.2% 1 92 10 2

LOGAN 52 2 14 36 2 22 88.2% 1 18 1 2

LYON 814 2 130 682 2 182 93.3% 10 216 45 35

MARION 276 5 46 225 7 67 96.7% 0 136 13 5

MARSHALL 231 1 41 189 1 49 90.9% 2 105 4 6

MCPHERSON 503 3 91 409 3 124 91.3% 11 167 17 14

MEADE 70 3 10 57 5 11 80.9% 1 25 3 3

MIAMI 563 4 103 456 5 136 92.4% 4 192 45 17

MITCHELL 170 2 27 141 2 37 89.5% 1 84 6 8

MONTGOMERY 697 8 92 597 9 126 91.9% 8 206 20 17

MORRIS 135 3 23 109 3 32 94.8% - 64 3 2

MORTON 42 0 11 31 0 12 88.4% 0 9 3 0

NEMAHA 162 1 32 129 1 36 82.8% 2 51 13 6

NEOSHO 343 3 53 287 3 85 93.7% 1 165 3 5

NESS 70 3 9 58 3 15 76.2% - 30 3 4

NORTON 171 2 23 146 2 28 69.3% 1 82 12 4

OSAGE 205 3 47 154 3 74 91.2% 5 90 15 5

OSBORNE 85 0 9 76 0 12 85.5% 0 58 0 3

OTTAWA 142 - 25 117 - 39 88.6% - 84 12 2



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COUNTY NAME

PAWNEE 190 2 21 166 2 30 80.2% 2 100 8 4

PHILLIPS 83 2 14 67 2 19 92.0% - 22 4 1

POTTAWATOMIE 406 9 98 299 9 129 95.8% 2 168 44 19

PRATT 212 1 36 175 1 50 93.1% 1 83 7 3

RAWLINS 43 2 7 34 2 11 63.6% 0 16 3 1

RENO 1,274 9 267 998 9 352 95.0% 27 275 59 45

REPUBLIC 118 0 15 103 0 20 92.1% 0 64 5 1

RICE 259 1 34 224 1 44 94.0% 2 151 7 -

RILEY 1316 3 279 1034 3 367 96.1% 50 201 54 60

ROOKS 143 - 15 128 - 22 93.7% - 98 1 -

RUSH 136 2 16 118 2 18 94.3% 0 93 6 5

RUSSELL 230 2 35 193 2 47 92.3% 5 108 7 5

SALINE 1174 3 336 835 4 458 95.2% 20 141 84 45

SCOTT 75 - 22 53 - 33 47.7% 3 10 6 7

SEDGWICK 11216 56 3116 8044 57 4413 91.5% 245 385 644 378

SEWARD 344 4 40 300 4 51 91.4% 3 34 6 11

SHAWNEE 4486 15 874 3597 15 1180 92.8% 77 321 250 130

SHERIDAN 63 2 6 55 2 10 60.6% - 20 5 3

SHERMAN 86 2 19 65 2 32 82.2% 0 24 7 2

SMITH 96 1 12 83 1 21 91.2% - 64 2 5

STAFFORD 143 0 11 132 0 17 96.4% 0 102 4 4

STANTON 4 2 2 - 2 3 50.0% 1 - - 1

STEVENS 20 2 5 13 2 11 71.1% 1 0 0 1

SUMNER 597 7 127 463 7 181 88.1% 4 207 44 17

THOMAS 200 2 51 147 2 75 87.7% 3 34 28 8

TREGO 103 3 18 82 3 29 82.9% 2 46 21 2

WABAUNSEE 229 4 49 176 4 65 96.2% 2 95 21 7

WALLACE 14 - 2 12 - 3 88.0% - 3 - -

WASHINGTON 223 0 43 180 0 52 91.6% 1 131 5 5

WICHITA 33 2 9 22 2 17 73.7% 1 9 2 1

WILSON 188 3 35 150 5 42 88.1% 2 106 11 7

WOODSON 89 - 13 76 - 17 96.9% 2 59 1 1

WYANDOTTE 1378 28 348 1001 40 524 90.4% 22 63 321 50

TOTAL 58,829 407 12,399 46,019 461 17,116 92.5% 930 10,225 3,854 1,993



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OUTSIDE CITIES 16,795 221 3,188 13,384 250 4,550 92.9% 124 7,826 1,218 566

ABILENE 97 1 21 75 4 28 96.1% 5 4 3 1

ADMIRE 2 - - 2 - - 100.0% - 2 - -

AGENDA 1 - - 1 - - 100.0% - - - -

AGRA 1 - - 1 - - 100.0% - - - -

ALBERT 3 - 1 2 - 1 80.0% - 2 - -

ALDEN 1 - - 1 - - 100.0% - - - -

ALEXANDER 7 - 1 6 - 1 100.0% - 5 - -

ALLEN 3 - 1 2 - 1 100.0% - 1 - -

ALMA 15 - 3 12 - 3 100.0% 1 5 3 -

ALMENA 2 - - 2 - - 66.7% - - - -

ALTA VISTA 1 - 1 - - 1 100.0% - 1 - -

ALTAMONT 7 - 2 5 - 3 66.7% - - - -

ALTON 2 - 1 1 - 1 0.0% - - - 1

ALTOONA 11 - 2 9 - 2 90.5% - 8 - 1

AMERICUS 5 - - 5 - - 75.0% - 2 1 -

ANDALE 5 - 3 2 - 4 80.0% - 2 - -

ANDOVER 177 - 34 143 - 47 90.7% - 5 6 2

ANTHONY 16 - 3 13 - 3 72.0% 1 3 2 1

ARCADIA 3 - - 3 - - 100.0% - 1 - -

ARGONIA 1 - - 1 - - 100.0% - - - -

ARKANSAS CITY 207 1 51 155 1 65 92.9% 8 15 6 10

ARLINGTON 5 - - 5 - - 100.0% - - - -

ARMA 8 - 1 7 - 1 100.0% - 2 1 -

ASHLAND 22 - 4 18 - 8 97.0% - 8 - -

ASSARIA 6 - - 6 - - 100.0% - 3 - -

ATCHISON 177 - 28 149 - 32 86.9% 7 10 10 5

ATHOL 1 - - 1 - - 100.0% - - - 1

ATLANTA 1 - - 1 - - 100.0% - 1 - -

ATTICA 1 - 1 - - 1 100.0% - 1 - -

ATWOOD 12 - 1 11 - 1 68.2% - 4 - -

AUBURN 2 - - 2 - - 100.0% - - - -

AUGUSTA 125 - 26 99 - 34 85.2% - 3 5 1

AXTELL 1 - 1 - - 1 100.0% 1 - - -

BALDWIN CITY 22 - 2 20 - 2 95.0% - 2 1 1

BARNARD 3 - - 3 - - 66.7% - 3 - -

BARNES 1 - - 1 - - 100.0% - - - -

BASEHOR 65 - 8 57 - 12 96.7% 1 8 1 3

BAXTER SPRINGS 41 - 6 35 - 10 95.0% - 5 1 2

BAZINE 3 - - 3 - - 100.0% - 2 - -

BEATTIE 1 - 1 - - 1 100.0% - - - -

BEL AIRE 60 - 20 40 - 24 89.4% 1 3 1 2

BELLE PLAINE 8 - - 8 - - 92.9% - 2 2 -

BELLEVILLE 15 - 1 14 - 1 97.4% - - - -

BELOIT 75 1 12 62 1 14 83.3% 1 25 3 6

BELPRE 3 - 1 2 - 1 100.0% - 2 - 1

BENEDICT 1 - - 1 - - 100.0% - 1 - -

BENNINGTON 16 - 2 14 - 2 93.1% - 9 3 -

Crashes

City SummariesPeople Crashes

CITY NAME

*Pedestrians: pedestrians, pedalcyclists, rider of animal; occupant of a legally parked vehicle, an animal-drawn

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CITY NAME

BENTLEY 2 - 1 1 - 1 100.0% - - - -

BENTON 8 - 1 7 - 2 85.7% - 1 1 -

BERN 1 - - 1 - - 0.0% - - - -

BEVERLY 4 - 1 3 - 2 57.1% - 2 - -

BIRD CITY 12 - 4 8 - 4 68.8% - 2 - -

BISON 4 - - 4 - - 100.0% - 4 - -

BLUE MOUND 6 - 2 4 - 3 88.9% - 3 - -

BLUE RAPIDS 3 - - 3 - - 100.0% - - - -

BOGUE 9 - 1 8 - 1 90.9% - 7 - -

BONNER SPRINGS 109 1 27 81 2 46 94.1% 2 8 19 1

BREWSTER 11 - 4 7 - 5 100.0% - 3 1 -

BRONSON 3 - 1 2 - 1 100.0% - 1 - -

BROOKVILLE 7 - 3 4 - 10 95.7% - 2 1 1

BROWNELL 7 - - 7 - - 100.0% - 4 - 1

BUCKLIN 10 1 1 8 1 5 90.5% - 8 - -

BUCYRUS 2 - 1 1 - 1 100.0% - - 1 -

BUFFALO 10 - 4 6 - 5 57.6% - 9 - 2

BUNKER HILL 2 - 1 1 - 2 100.0% - - 1 1

BURDEN 4 - 1 3 - 1 100.0% - 1 - -

BURLINGAME 1 - - 1 - - 100.0% - 1 - -

BURLINGTON 16 - 1 15 - 1 78.8% - 11 - -

BURNS 1 - - 1 - - 100.0% - 1 - -

BURR OAK 7 - - 7 - - 100.0% - 3 - -

BUSHTON 1 - - 1 - - 100.0% - 1 - -

BYERS 2 - - 2 - - 100.0% - - - -

CALDWELL 2 - 1 1 - 1 100.0% - 1 - -

CANEY 21 - 3 18 - 3 75.7% 1 7 1 1

CANTON 2 - - 2 - - 66.7% - - - -

CARBONDALE 4 - 2 2 - 3 100.0% - 2 - -

CASSODAY 1 - - 1 - - 100.0% - - - -

CAWKER CITY 12 - 2 10 - 6 95.0% - 5 - -

CEDAR 1 - - 1 - - 100.0% - 1 - -

CEDAR POINT 4 - 1 3 - 1 77.8% - 1 - -

CEDAR VALE 9 - 2 7 - 2 90.0% - 5 1 1

CENTRALIA 4 - - 4 - - 66.7% - - 1 -

CHANUTE 79 - 14 65 - 23 92.8% - 9 - 1

CHAPMAN 4 - 1 3 - 2 100.0% - 2 - -

CHASE 4 - - 4 - - 60.0% - - - -

CHAUTAUQUA 1 - - 1 - - 100.0% - - - -

CHENEY 7 - 2 5 - 2 85.7% - 6 - 1

CHEROKEE 4 - - 4 - - 92.9% - - - -

CHERRYVALE 22 - 4 18 - 5 81.4% - 4 - -

CIMARRON 27 1 7 19 1 8 82.0% - 4 2 2

CIRCLEVILLE 2 - - 2 - - 100.0% - 1 - -

CLAFLIN 2 - - 2 - - 75.0% - - - -

CLAY CENTER 71 - 14 57 - 18 88.2% - 23 1 3

CLAYTON 1 - 1 - - 1 0.0% - - 1 1

CLEARWATER 12 - - 12 - - 82.4% - 6 1 4



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CITY NAME

CLIFTON 2 - 1 1 - 1 100.0% - - - -

CLIMAX 1 - - 1 - - 100.0% - 1 - -

CLYDE 4 - 1 3 - 1 100.0% - 3 - -

COFFEYVILLE 157 1 33 123 1 44 90.4% 4 23 2 7

COLBY 88 1 16 71 1 22 84.5% - 11 9 3

COLDWATER 8 - 1 7 - 2 100.0% - 5 - -

COLLYER 6 - - 6 - - 91.7% - 2 - -

COLONY 8 - 4 4 - 4 84.6% - 2 2 2

COLUMBUS 28 - 6 22 - 7 86.5% 3 6 - -

COLWICH 13 - 7 6 - 9 95.7% - 4 - 1

CONCORDIA 92 - 14 78 - 20 66.7% 7 6 3 4

CONWAY SPRINGS 2 - - 2 - - 100.0% - - - -

COOLIDGE 5 - - 5 - - 100.0% - 4 1 -

COPELAND 2 - - 2 - - 50.0% - 1 - -

COTTONWOOD 23 - 2 21 - 3 82.0% - 10 1 -

COUNCIL GROVE 15 - 1 14 - 1 92.6% - 1 - -

COURTLAND 2 - - 2 - - 50.0% - 1 - -

COYVILLE 1 - - 1 - - 100.0% - - - -

CUBA 1 - - 1 - - 100.0% - 1 - -

CULLISON 1 - 1 - - 2 100.0% - - - -

CULVER 4 - 2 2 - 2 60.0% - 2 1 1

CUNNINGHAM 4 - - 4 - - 80.0% - 2 - -

DAMAR 2 - - 2 - - 100.0% - 2 - -

DE SOTO 83 - 25 58 - 29 96.0% 1 25 17 3

DEARING 6 - 2 4 - 3 80.0% - 3 - -

DEERFIELD 3 - 1 2 - 2 100.0% - 2 - -

DELIA 3 - - 3 - - 50.0% - 2 - -

DELPHOS 4 - - 4 - - 100.0% - 3 - -

DENISON 2 - 1 1 - 1 100.0% - - 1 -

DENTON 1 1 - - 1 1 - - 1 1

DERBY 291 3 89 199 3 125 95.3% 10 8 3 10

DEXTER 3 - 1 2 - 1 100.0% - 2 - -

DIGHTON 4 - 2 2 - 3 66.7% - 1 - 1

DODGE CITY 604 2 58 544 2 75 88.8% 10 23 23 33

DORRANCE 1 - 1 - - 1 - - - -

DOUGLASS 8 - 3 5 - 3 84.6% 1 1 - -

DOWNS 3 - 1 2 - 1 100.0% - 1 - -

DRESDEN 1 - - 1 - - 100.0% - - - -

DURHAM 1 - - 1 - - 100.0% - 1 - -

DWIGHT 1 - - 1 - - 100.0% - - - -

EARLTON 1 - - 1 - - 100.0% - 1 - -

EASTBOROUGH 8 - 1 7 - 1 100.0% - - - 1

EASTON 4 - 1 3 - 1 100.0% - - 2 1

EDGERTON 29 - 6 23 - 6 90.5% 1 3 3 3

EDNA 2 - 1 1 - 1 100.0% - - - -

EDWARDSVILLE 110 2 26 82 4 38 89.2% 1 13 23 6

EFFINGHAM 4 - 1 3 - 1 100.0% - 1 - -

EL DORADO 229 - 39 190 - 47 88.6% 4 11 5 11



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CITY NAME

ELK CITY 8 - 1 7 - 2 100.0% - 4 - -

ELKHART 19 - 1 18 - 1 87.9% - 1 - -

ELLINWOOD 21 1 2 18 1 3 92.6% 2 1 1 -

ELLIS 14 - 3 11 - 6 83.9% - 2 1 1

ELLSWORTH 61 - 7 54 - 8 88.2% - 33 5 1

ELMDALE 14 - 2 12 - 2 57.1% - 8 - -

ELSMORE 2 - 1 1 - 2 100.0% - 2 - -

ELWOOD 4 1 2 1 1 6 50.0% - - - -

EMPORIA 437 - 69 368 - 98 93.6% 9 23 15 21

ENGLEWOOD 5 1 2 2 1 2 75.0% - - - -

ENSIGN 5 - 1 4 - 1 100.0% - 2 - -

ENTERPRISE 2 - - 2 - - 100.0% - 2 - -

ERIE 8 - 1 7 - 2 90.9% - 7 - -

ESBON 1 - - 1 - - 100.0% - 1 - -

ESKRIDGE 1 - - 1 - - 100.0% - - - -

EUDORA 11 1 2 8 1 3 100.0% - - - 1

EUREKA 27 - 3 24 - 3 79.2% - 9 1 -

EVEREST 1 - - 1 - - 100.0% - 1 - -

FAIRVIEW 4 - 1 3 - 1 100.0% - - - -

FAIRWAY 57 - 11 46 - 17 93.1% 1 1 - -

FALL RIVER 2 1 - 1 2 2 40.0% - 1 - -

FLORENCE 6 - 1 5 - 1 100.0% - - - -

FORD 4 - - 4 - - 100.0% - 4 - -

FORMOSO 1 - 1 - - 1 100.0% - - - -

FORT SCOTT 190 - 31 159 - 38 93.5% 2 30 5 5

FOWLER 4 - - 4 - - 80.0% - 2 - -

FRANKFORT 7 - - 7 - - 75.0% - 1 - 1

FREDONIA 14 - 4 10 - 4 83.3% - 8 - 1

FRONTENAC 27 - 8 19 - 10 89.1% - 8 - 3

GALENA 24 1 6 17 2 13 91.8% 2 3 - -

GALESBURG 1 - 1 - - 2 0.0% - - - -

GARDEN CITY 409 1 74 334 1 106 92.6% 7 4 24 22

GARDEN PLAIN 16 - 5 11 - 13 85.3% - 3 - -

GARDNER 248 1 60 187 1 81 94.8% 5 19 18 13

GARNETT 43 1 6 36 1 7 92.9% 1 4 6 -

GAS CITY 6 - - 6 - - 100.0% - 2 - -

GEM 3 - - 3 - - 100.0% - 2 - -

GENESEO 1 - - 1 - - 100.0% - 1 - -

GIRARD 24 - 3 21 - 4 95.7% - 3 1 -

GLADE 1 - - 1 - - 100.0% - 1 - -

GLASCO 4 - 1 3 - 1 40.0% - 2 - -

GLEN ELDER 18 - 1 17 - 1 100.0% - 13 - -

GODDARD 72 - 12 60 - 13 98.0% 2 6 4 2

GOESSEL 1 - 1 - - 1 100.0% - - - -

GOFF 1 - 1 - - 1 100.0% 1 - - -

GOODLAND 44 1 9 34 1 18 80.4% - 7 6 2

GORHAM 2 - - 2 - - 100.0% - - - -

GOVE 4 - 1 3 - 1 80.0% - - - -



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CITY NAME

GRAINFIELD 16 1 4 11 1 4 83.3% - 2 2 1

GRANDVIEW PLAZA 35 - 9 26 - 9 88.3% - 1 9 1

GREAT BEND 149 1 28 120 1 39 94.7% 3 4 5 4

GREELEY 2 1 1 - 1 2 33.3% - - - 1

GREEN 2 - - 2 - - 100.0% - 1 - -

GREENLEAF 3 - 1 2 - 1 50.0% - - - 1

GREENSBURG 26 - 4 22 - 8 98.3% - 8 - 2

GRIDLEY 7 - 1 6 - 2 80.0% - 2 - -

GRINNELL 10 - 3 7 - 3 77.8% - 2 - -

GYPSUM 2 - 1 1 - 1 80.0% - - - -

HALSTEAD 5 1 - 4 1 - 100.0% - - - -

HAMILTON 5 - 1 4 - 1 100.0% - 3 - -

HANOVER 3 - 1 2 - 2 100.0% - - - -

HANSTON 7 - - 7 - - 100.0% - 6 - -

HARDTNER 2 - - 2 - - 100.0% - 1 - -

HARPER 4 - - 4 - - 100.0% - 3 - -

HARRIS 1 - - 1 - - 100.0% - 1 - -

HARTFORD 7 - 2 5 - 3 66.7% - 2 2 1

HARVEYVILLE 1 - - 1 - - 100.0% - - 1 -

HAVANA 5 - 1 4 - 2 85.7% - 2 1 -

HAVEN 5 - 1 4 - 1 100.0% 1 1 - -

HAVENSVILLE 1 1 - - 1 - - - - -

HAVILAND 14 1 4 9 2 4 100.0% - 10 - -

HAYS 395 2 46 347 2 54 94.6% 9 6 17 10

HAYSVILLE 56 1 11 44 1 13 95.0% 2 6 3 5

HAZELTON 6 1 1 4 1 1 100.0% - 3 - -

HERINGTON 15 1 3 11 1 4 83.3% - 1 1 2

HESSTON 28 - 4 24 - 8 96.4% - 4 2 -

HIAWATHA 26 - 2 24 - 4 96.2% - 1 2 1

HIGHLAND 2 - 2 - - 3 66.7% - - - -

HILL CITY 35 - 3 32 - 3 96.9% - 19 2 1

HILLSBORO 13 - 1 12 - 3 100.0% - - - -

HOISINGTON 25 - 6 19 - 7 89.6% 1 - - -

HOLCOMB 8 - 1 7 - 3 100.0% - - - -

HOLTON 54 - 8 46 - 10 93.0% - 13 3 2

HOLYROOD 2 - - 2 - - 100.0% - 1 - -

HOPE 1 - - 1 - - 100.0% - - - -

HORTON 15 1 3 11 1 5 93.3% - 1 - -

HOWARD 1 - 1 - - 1 100.0% - - - -

HOXIE 39 - - 39 - - 45.5% - 14 3 2

HOYT 12 - 1 11 - 1 81.3% - 5 2 -

HUDSON 1 - - 1 - - 100.0% - - - -

HUGOTON 14 1 5 8 1 11 61.5% 1 - - 1

HUMBOLDT 14 - 3 11 - 3 89.7% - 5 1 -

HUNTER 5 - 3 2 - 6 77.8% - 2 1 -

HURON 1 - - 1 - - 100.0% - - - -

HUTCHINSON 749 2 163 584 2 210 95.4% 23 17 21 22

INDEPENDENCE 149 - 17 132 - 22 90.2% 1 19 - 3



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INGALLS 10 - 3 7 - 8 86.4% - 3 1 -

INMAN 1 - 1 - - 1 100.0% - - - -

IOLA 91 - 16 75 - 28 94.9% 1 12 2 5

ISABEL 3 - - 3 - - 100.0% - 3 - -

IUKA 1 - - 1 - - 100.0% - 1 - -

JETMORE 35 1 2 32 1 5 87.2% - 16 2 -

JEWELL 6 - 1 5 - 1 100.0% - 2 - -

JOHNSON 5 2 - 3 2 1 77.8% - - - 1

JUNCTION CITY 401 2 96 303 2 119 93.3% 3 51 16 13

KANOPOLIS 1 - 1 - - 2 100.0% - - - -

KANSAS CITY 1,143 25 293 824 34 440 89.9% 19 40 280 42

KECHI 11 - 3 8 - 5 100.0% - 6 2 -

KENSINGTON 6 - - 6 - - 100.0% - 2 - -

KINCAID 3 - - 3 - - 100.0% - 1 - -

KINGMAN 43 - 2 41 - 2 54.6% - 7 2 1

KINSLEY 21 2 2 17 2 5 57.1% - 1 1 2

KIOWA 4 - 1 3 - 2 100.0% - - 1 -

KIRWIN 2 - - 2 - - 66.7% - 2 - -

KISMET 17 1 2 14 1 3 88.0% - 3 - 1

LA CROSSE 30 - 1 29 - 1 95.7% - 15 3 -

LA CYGNE 20 - 3 17 - 3 66.7% - 6 2 1

LA HARPE 4 - - 4 - - 100.0% - 4 - -

LABETTE 1 - - 1 - - 100.0% - - - -

LAKE QUIVIRA 3 - 1 2 - 2 100.0% - - - 1

LAKIN 12 1 3 8 1 7 81.8% - 1 2 -

LANCASTER 3 - - 3 - - 100.0% - - - -

LANE 1 - 1 - - 2 - - - -

LANSING 173 - 31 142 - 42 96.4% 2 16 10 5

LARNED 54 - 7 46 - 12 77.6% 1 - 1 4

LAWRENCE 2,189 3 360 1,826 3 476 91.8% 77 38 99 95

LE ROY 5 - 1 4 - 2 57.1% - 2 - -

LEAVENWORTH 527 2 126 399 2 172 91.6% 22 14 48 22

LEAWOOD 596 - 188 408 - 275 85.8% 10 4 39 19

LEBANON 8 - - 8 - - 90.9% - 5 - -

LEBO 12 - 1 11 - 1 86.7% 1 8 - -

LECOMPTON 7 - 2 5 - 3 100.0% - 2 - 1

LENEXA 1,430 7 302 1,121 10 402 95.0% 18 44 167 43

LEON 3 - - 3 - - 50.0% - - 1 -

LEONARDVILLE 18 - 4 14 - 4 95.8% - 7 1 2

LEOTI 3 - 1 2 - 2 33.3% - - - -

LEWIS 1 - 1 - - 1 100.0% - - - -

LIBERAL 280 - 33 247 - 39 91.9% 3 11 4 7

LIBERTY 6 - - 6 - - 100.0% - 2 1 -

LIEBENTHAL 9 - 2 7 - 2 100.0% - 6 - -

LINCOLN 25 - 2 23 - 3 97.1% - 12 1 -

LINCOLNVILLE 1 - - 1 - - 100.0% - 1 - -

LINDSBORG 27 - 5 22 - 10 54.9% - - 1 -

LINN 4 - 1 3 - 2 100.0% - - - -



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LINN VALLEY 3 - - 3 - - 100.0% - 2 - -

LINWOOD 4 - 2 2 - 3 42.9% 1 1 1 1

LITTLE RIVER 2 - - 2 - - 66.7% - 1 - -

LOGAN 5 - 2 3 - 2 83.3% - 1 - -

LONE ELM 1 - - 1 - - 100.0% - 1 - -

LONG ISLAND 3 - 1 2 - 1 66.7% - 1 - -

LONGFORD 1 - - 1 - - 100.0% - 1 - -

LORRAINE 1 - - 1 - - 100.0% - - - -

LOST SPRINGS 1 - - 1 - - 100.0% - - 1 -

LOUISBURG 69 - 9 60 - 12 94.7% - 12 3 2

LOUISVILLE 2 - - 2 - - 100.0% - 2 - -

LUCAS 5 - 1 4 - 2 77.8% - - - -

LURAY 4 - 1 3 - 1 100.0% - 2 - -

LYNDON 3 - 1 2 - 1 100.0% 1 1 - -

LYONS 27 - 5 22 - 6 74.4% 1 6 - -

MADISON 6 - 2 4 - 2 87.5% - 1 - -

MAIZE 68 - 14 54 - 17 96.8% 1 5 5 5

MANHATTAN 975 4 213 758 4 280 96.2% 44 20 32 39

MANKATO 12 - - 12 - - 100.0% - 5 - -

MAPLE HILL 4 - 1 3 - 1 83.3% - 1 - -

MAPLETON 2 - 1 1 - 1 100.0% - 1 - -

MARION 22 - 2 20 - 2 91.8% - 1 1 -

MARQUETTE 3 - 1 2 - 1 60.0% - - - -

MARYSVILLE 63 - 9 54 - 11 91.7% 1 10 - 2

MATFIELD GREEN 7 - - 7 - - 77.8% - 6 - 1

MAYETTA 7 - 2 5 - 2 100.0% - 2 - -

MAYFIELD 1 - - 1 - - 100.0% - 1 - -

MC CRACKEN 6 - 1 5 - 1 83.3% - 5 1 1

MC CUNE 1 - - 1 - - 0.0% - - - -

MC FARLAND 1 - - 1 - - 100.0% - - - -

MC LOUTH 8 - 1 7 - 1 100.0% - - - 1

MC PHERSON 148 1 32 115 1 38 92.9% 7 5 1 6

MEADE 18 1 3 14 1 4 82.9% - 7 - -

MEDICINE LODGE 45 1 3 41 1 4 55.6% - 32 - -

MELVERN 1 - 1 - - 1 100.0% - - - 1

MENLO 2 - 1 1 - 3 75.0% - - 1 2

MERIDEN 6 1 - 5 1 1 100.0% - 2 - -

MERRIAM 815 - 223 592 - 290 95.2% 4 3 53 15

MILDRED 2 - - 2 - - 100.0% - 2 - -

MILFORD 14 - 2 12 - 3 100.0% - 9 1 1

MINNEAPOLIS 21 - 6 15 - 7 75.0% - 6 - 1

MINNEOLA 9 - - 9 - - 92.3% - 2 - -

MISSION 256 1 57 198 1 71 96.4% 2 1 25 5

MISSION HILLS 24 - 5 19 - 5 100.0% - - 1 -

MISSION WOODS 7 - 1 6 - 1 95.2% - - - -

MONTEZUMA 10 1 1 8 1 4 84.2% - 1 - -

MORAN 9 - 2 7 - 2 57.1% - 3 1 2

MORGANVILLE 1 - - 1 - - 100.0% - 1 - -



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MORLAND 7 - 1 6 - 1 100.0% - 2 - -

MORROWVILLE 1 - - 1 - - 100.0% - - - -

MOUND CITY 16 1 2 13 2 6 62.1% - 7 1 -

MOUND VALLEY 2 - - 2 - - 100.0% - 1 - -

MOUNT HOPE 14 1 7 6 1 7 93.3% - 3 1 1

MULBERRY 1 - - 1 - - 100.0% - 1 - -

MULLINVILLE 8 - 3 5 - 4 90.9% - 1 - -

MULVANE 64 2 18 44 2 28 94.8% 3 4 2 4

MUNDEN 1 - - 1 - - 100.0% - 1 - -

MUSCOTAH 1 - - 1 - - 100.0% - 1 - -

NASHVILLE 1 - - 1 - - 100.0% - 1 - -

NATOMA 3 - - 3 - - 50.0% - - - -

NEODESHA 13 - 2 11 - 2 100.0% - 6 - -

NEOSHO RAPIDS 1 - - 1 - - 100.0% - - - -

NESS CITY 26 - 5 21 - 7 68.3% - 7 1 1

NETAWAKA 4 - 3 1 - 5 100.0% - 1 - -

NEW ALBANY 3 - - 3 - - 100.0% - 2 - -

NEW CAMBRIA 2 - 1 1 - 1 100.0% - - - -

NEW STRAWN 2 - - 2 - - 100.0% - - - -

NEWTON 214 - 39 175 - 47 88.1% 9 5 16 15

NICKERSON 7 - 2 5 - 3 100.0% - - - 2

NIOTAZE 6 - 1 5 - 1 90.0% - 1 1 -

NORTH NEWTON 7 - 1 6 - 2 100.0% - 1 - -

NORTON 53 - 2 51 - 3 62.5% - 1 5 -

NORTONVILLE 2 - 1 1 - 1 100.0% - 1 - -

OAK HILL 1 - - 1 - - 100.0% - 1 - -

OAKLEY 21 1 5 15 1 8 83.3% 1 2 2 1

OBERLIN 20 - 2 18 - 2 100.0% 1 - - -

OFFERLE 1 - 1 - - 1 0.0% - - - -

OGDEN 23 - 2 21 - 3 92.7% 1 3 2 2

OLATHE 2,212 4 436 1,772 4 585 96.2% 31 54 161 72

OLPE 7 - - 7 - - 90.0% - 1 - -

OLSBURG 1 1 - - 1 - - - - -

ONEIDA 1 - - 1 - - - - - -

OSAGE CITY 15 - 4 11 - 5 75.0% - - - -

OSAWATOMIE 40 - 5 35 - 8 88.9% - 10 4 1

OSBORNE 25 - 2 23 - 2 100.0% - 21 - -

OSKALOOSA 16 - 2 14 - 2 100.0% - 3 1 2

OSWEGO 3 - 1 2 - 1 50.0% - 1 - -

OTIS 10 - 4 6 - 4 84.6% - 4 - 1

OTTAWA 144 1 25 118 1 28 93.1% 3 12 3 6

OVERBROOK 3 - - 3 - - 83.3% - - - 1

OVERLAND PARK 4,035 8 938 3,089 8 1,227 95.8% 44 54 296 139

OZAWKIE 8 1 1 6 1 5 100.0% 1 3 - 1

PALCO 6 - 1 5 - 1 77.8% - 2 1 -

PAOLA 74 - 12 62 - 17 94.1% - 14 7 1

PARADISE 1 - - 1 - - 100.0% - 1 - -

PARK 2 - - 2 - - 100.0% - 1 1 -



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PARK CITY 124 - 13 111 - 16 90.4% - 17 5 2

PARKER 13 - 1 12 - 1 75.0% - 7 - -

PARKERFIELD 1 - - 1 - - 100.0% - 1 - -

PARSONS 121 1 21 99 1 27 82.3% 2 4 2 6

PARTRIDGE 2 - - 2 - - 100.0% 1 - - -

PAWNEE ROCK 1 - - 1 - - - - - -

PAXICO 10 - 1 9 - 1 100.0% - 2 3 -

PEABODY 4 - 1 3 - 2 100.0% - - - 1

PERRY 14 - 4 10 - 4 92.9% - 4 2 -

PERU 2 - - 2 - - 100.0% - 2 - -

PHILLIPSBURG 34 - 5 29 - 6 96.3% - 7 1 -

PITTSBURG 27 - 5 22 - 10 90.9% - 4 - -

PLAINS 4 - 1 3 - 1 60.0% - - - -

PLAINVILLE 29 - 3 26 - 4 91.5% - 8 - -

PLEASANTON 20 - 3 17 - 4 72.4% - 8 1 -

POMONA 7 - 1 6 - 1 84.6% - 2 - -

PORTIS 1 - - 1 - - - - - -

POTWIN 1 - - 1 - - - - - -

POWHATTAN 1 - 1 - - 1 100.0% - - - -

PRAIRIE VIEW 4 - - 4 - - 60.0% - 2 - -

PRAIRIE VILLAGE 299 - 47 252 - 57 97.1% 4 2 8 19

PRATT 95 - 17 78 - 27 92.6% 1 9 3 2

PRESCOTT 5 - - 5 - - 50.0% - 3 - -

PRESTON 3 - - 3 - - 100.0% - 1 - -

PRETTY PRAIRIE 4 - - 4 - - 100.0% 1 2 - -

PRINCETON 2 - - 2 - - 100.0% - 2 - -

PROTECTION 2 - 1 1 - 1 75.0% - - - -

QUINTER 25 1 3 21 2 4 93.0% - 9 2 1

RANDALL 1 - - 1 - - 100.0% - 1 - -

RANDOLPH 11 - 1 10 - 1 92.9% 1 7 - -

RANSOM 6 - 1 5 - 2 100.0% - 3 - 1

RANTOUL 1 - - 1 - - 100.0% - 1 - -

READING 3 - 1 2 - 1 100.0% - 2 1 -

REDFIELD 4 - 1 3 - 1 100.0% - 2 - -

REXFORD 4 - 2 2 - 3 100.0% - - - -

RICHFIELD 7 - 3 4 - 4 90.9% - 1 1 -

RICHMOND 2 1 - 1 1 - 50.0% - - - -

RILEY 27 - 2 25 - 3 100.0% - 15 - 2

ROBINSON 1 - 1 - - 1 1 - - -

ROELAND PARK 67 - 13 54 - 14 90.3% 1 - 2 2

ROLLA 7 - 2 5 - 2 100.0% - 3 - -

ROSE HILL 16 - 6 10 - 6 100.0% 1 - - -

ROSSVILLE 5 - 3 2 - 3 71.4% - 1 - -

ROZEL 2 - - 2 - - 100.0% - - - -

RUSH CENTER 10 - - 10 - - 100.0% - 9 - -

RUSSELL 54 - 8 46 - 8 93.7% 1 7 1 3

SABETHA 9 - 2 7 - 2 81.8% - 3 1 -

SALINA 869 2 258 609 3 348 95.1% 16 20 58 33



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SATANTA 16 - 4 12 - 5 77.8% - 1 2 -

SAVONBURG 1 - 1 - - 1 100.0% - - - -

SCAMMON 1 - - 1 - - 100.0% - - 1 -

SCANDIA 2 - - 2 - - 100.0% - 1 - -

SCOTT CITY 67 - 15 52 - 26 45.0% 3 8 5 6

SEDAN 17 - 8 9 - 12 100.0% 1 8 - 1

SEDGWICK 12 - 2 10 - 5 100.0% - 4 - -

SELDEN 7 - - 7 - - 84.6% - 3 - -

SENECA 42 - 3 39 - 3 71.0% - - 1 1

SEVERANCE 1 - - 1 - - 100.0% - - - -

SEVERY 7 1 2 4 2 6 56.3% - 2 1 1

SHARON 5 - - 5 - - 100.0% - 3 - -

SHARON SPRINGS 3 - - 3 - - 57.1% - - - -

SHAWNEE 812 5 152 655 5 217 95.3% 16 29 79 32

SILVER LAKE 6 - 1 5 - 1 100.0% - - - -

SIMPSON 3 - - 3 - - 100.0% - 2 - -

SMITH CENTER 9 - 3 6 - 6 81.8% - 7 - 2

SOLDIER 1 - 1 - - 1 100.0% - - - -

SOLOMON 5 - - 5 - - 100.0% - 3 - -

SOUTH HAVEN 7 - 1 6 - 1 100.0% - 4 3 -

SOUTH 26 - 7 19 - 8 96.4% - 1 2 -

SPEARVILLE 9 - 2 7 - 4 100.0% - 3 - -

SPIVEY 1 - - 1 - - 100.0% - 1 - -

SPRING HILL 85 - 18 67 - 21 88.3% - 17 10 4

ST. FRANCIS 22 - 2 20 - 3 81.8% - 7 - 1

ST. GEORGE 2 - - 2 - - 100.0% - - - -

ST. JOHN 3 - - 3 - - 100.0% - 1 1 -

ST. MARYS 20 - 4 16 - 7 95.2% - - 2 -

ST. PAUL 3 - 1 2 - 1 100.0% - 1 - -

STAFFORD 7 - - 7 - - 100.0% - - - -

STARK 2 - - 2 - - 100.0% - 1 - -

STERLING 18 - 1 17 - 1 96.2% - 7 1 -

STOCKTON 27 - 3 24 - 3 97.3% - 19 - -

STRONG CITY 24 - 1 23 - 1 82.1% - 16 - -

SUBLETTE 26 2 6 18 2 8 78.8% - 2 2 2

SUN CITY 5 - - 5 - - 100.0% - 5 - -

SYLVAN GROVE 12 - 3 9 - 3 75.0% - 8 - -

SYRACUSE 26 - 6 20 - 6 71.1% - 6 1 -

TAMPA 1 - - 1 - - 100.0% - 1 - -

TESCOTT 8 - 1 7 - 2 100.0% - 3 1 -

TIMKEN 11 - - 11 - - 100.0% - 9 1 -

TIPTON 4 - 1 3 - 1 66.7% - 2 - -

TONGANOXIE 75 - 12 63 - 17 92.0% 2 6 5 3

TOPEKA 4,039 13 793 3,233 13 1,069 92.7% 74 189 204 117

TORONTO 2 - - 2 - - 100.0% - 2 - -

TOWANDA 6 - 1 5 - 1 100.0% - 3 - -

TRIBUNE 14 - 7 7 - 8 73.7% - 3 2 1

TROY 6 - 3 3 - 4 100.0% - 1 1 1



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TURON 3 - 1 2 - 1 100.0% - 1 - -

TYRO 6 - 1 5 - 1 94.4% - 1 - -

UDALL 4 - - 4 - - 100.0% - - 1 1

ULYSSES 106 - 20 86 - 29 85.6% 1 16 6 4

UNIONTOWN 9 - 3 6 - 4 72.7% - 4 - -

VALLEY CENTER 64 - 15 49 - 20 91.8% 1 9 4 2

VALLEY FALLS 3 - 1 2 - 1 100.0% - 1 1 -

VICTORIA 8 - - 8 - - 100.0% - - - 1

VIOLA 9 - 1 8 - 1 100.0% - 4 - -

VIRGIL 2 - 1 1 - 1 75.0% - - - -

WAKEENEY 25 1 3 21 1 7 69.8% - 10 4 2

WAKEFIELD 4 1 - 3 1 - 75.0% - 1 - 1

WALDRON 1 - - 1 - - 100.0% - 1 - -

WALNUT 1 - 1 - - 2 - - - -

WALTON 1 - - 1 - - 50.0% - - - -

WAMEGO 10 - 4 6 - 5 88.5% - 2 - -

WASHINGTON 15 - 2 13 - 2 86.4% - 1 - -

WATERVILLE 1 - - 1 - - 100.0% - 1 - -

WATHENA 12 - 2 10 - 3 100.0% - 1 3 -

WAVERLY 14 - 1 13 - 2 85.0% - 8 - -

WEBBER 2 - - 2 - - 50.0% - 1 - -

WELLINGTON 97 1 19 77 1 24 80.5% 1 8 2 6

WELLSVILLE 7 - - 7 - - 87.5% - 2 - -

WESTMORELAND 6 - - 6 - - 87.5% - - 1 1

WESTPHALIA 2 - - 2 - - 100.0% - 1 1 -

WESTWOOD 20 - 1 19 - 5 80.4% - - - 1

WESTWOOD HILLS 4 - - 4 - - 100.0% - - - -

WETMORE 2 - - 2 - - 100.0% - - 1 -

WHITE CITY 3 2 - 1 2 1 66.7% - 2 - -

WHITE CLOUD 2 - - 2 - - 100.0% - 1 - -

WHITING 1 - - 1 - - 100.0% - - - -

WICHITA 9,184 37 2,591 6,556 37 3,650 91.1% 211 82 527 282

WILLIAMSBURG 8 - - 8 - - 100.0% - 4 - -

WILSEY 1 - - 1 - - 100.0% - - - -

WILSON 8 - 2 6 - 3 80.0% 1 4 - 1

WINCHESTER 2 - 1 1 - 1 50.0% - 1 - -

WINFIELD 279 1 28 250 1 35 95.0% 7 32 7 2

WOODBINE 2 - 1 1 - 1 100.0% - - - -

WOODSTON 4 - 1 3 - 3 87.5% - 3 - -

YATES CENTER 27 - 4 23 - 6 96.6% 1 13 - -

ZENDA 2 - - 2 - - 100.0% - 2 - -

ZURICH 3 - - 3 - - 100.0% - 3 - -

TOTALS 58,829 407 12,399 46,019 461 17,116 92.5% 930 10,225 3,854 1,993



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Definitions SPECIAL NOTE:

Prior to 2005, the minimum criteria for reporting motor vehicle crashes for statistical purposes in Kansas were a non-injury crash occurring on or from a public roadway with over $500 of property damage. January 1st, 2005, the limit was raised to $1,000. This affects all 2005 Total and Property Damage Only (PDO) columns in this document.

Crash: An event involving at least one motor vehicle in-transport and on a public

roadway that results in death, injury, or property damage over $1,000. Aggressive/Antagonistic Driving:

Aggression: an offensive action,an unprovoked attack. Antagonism: actively expressed opposition or hostility. Examples: tailgating (intentional), improper passing, shining bright lights, etc. The reporting officer can record this contributing circumstance code as it applies to the driver’s actions. Such actions are with the intent to display a driver’s irritation towards others or about circumstances. Intimidation, fear, and threats are evidence of this action.

Note: This is not the same as road-rage. Road-rage is causing intentional harm to another and therefore, the harmful event would not be considered a crash.

Alcohol-Related Crash:

Motor vehicle crashes where the reporting officer indicates “alcohol contributed” to the cause and / or a Blood Alcohol Content (BAC) is recorded. This only applies as it relates to the driver. For example, this would not include crashes where a “sober” driver strikes an alcohol-impaired pedestrian with their vehicle.

Crash Costs

By using the methodology provided in a Technical Advisory from the Federal Highway Administration, “Motor Vehicle Crash Costs” (1994), it is possible to assign a comprehensive cost (in dollars) to each traffic crash based on the injury severities of the persons involved. In crashes involving one or more injured persons, each person possibly injured augments the cost assigned to the crash by $31,850; each person with a non-disabling injury augments the cost by $60,300; each person with a disabling injury augments the cost by $301,350; and each person fatally injured augments the cost by $4,352,300. If all persons involved in a crash were unharmed (i.e. the crash was property damage only crash), then a cost of $3,350 is assigned to the crash. (continued on next page)

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Definitions (cont’d)

For example, the cost assigned to a crash involving two persons with non-disabling injuries and one person with disabling injury is $421,950 (2 times 60,300, plus 301,350). The per-person cost figures are adjusted annually according to the Consumer Price Index for the month of January of the year following the crash. The Technical Advisory may be viewed on the Internet at http://www.fhwa.dot.gov/legsregs/directives/techadvs/t75702.htm .

Contributing Circumstances:

The factors which the investigating officer determines contributed to the cause of the crash.

Crossover:

A paved or unpaved area between roadway lanes which allows vehicles to cross over from one direction of travel to another.

Fatality:

A person (excluding a baby in the womb) who dies as the result of a motor vehicle traffic crash. (By state statute, the death must occur within 30 days of the crash date to be counted as a fatality)

Fatal Crash: A motor vehicle traffic crash which causes the death of one or more persons. First Harmful Event: The first event (often in a series of events) involving a motor vehicle which causes

death, injury, or property damage. Holiday Periods:

The holiday periods used in this book are those established by the National Safety Council. Data include crashes occurring from 6:00 p.m. the first day (excluding unknown "Time of Crash") to 12:00 midnight the last day.

Injury: Includes vehicle occupants or pedestrians receiving a severe wound, other visible

injury, or complaint of pain (possible injury) as the result of a motor vehicle traffic crash. Deaths are excluded in injury statistics.

Injury Crash:

A motor vehicle traffic crash which causes disabling, non-incapacitating, or possible injury to vehicle occupants or pedestrians and does not include fatalities.

Large/Heavy Truck:

Trucks using more than four tires with a gross vehicle rate (GVW) of 10,001 lbs. or more and intended for commercial use. Body types include: single trucks over four tires, truck and trailer(s), or tractor-trailer(s).

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Motor Vehicle:

Any mechanically or electrically powered motorized mode of transport excluding vehicles designed specifically for rails, water, air, or personal conveyance vehicles.

Other Non-collision: An event during a crash sequence which does not involve a collision with another

vehicle or object. Examples:

� collapse of a bridge � passenger inhalation of gas � fire or explosion within a vehicle.

Overturn Crash: Prior to 2003:

Included are crashes where the reporting officer recorded a vehicle overturn as the “first harmful event.” Excluded are many crashes where the vehicle overturns after the “first harmful event.” Example: A vehicle strikes an embankment (1st event) and then overturns.

2003 through 2008: Included are crashes where the reporting officer recorded a vehicle overturn as the “first harmful event” and / or a vehicle was marked overturn under vehicle damage on KDOT form 850.

2009 and beyond: Included are crashes where the reporting officer recorded a vehicle overturn as the “first harmful event” and/or “most harmful event” / or a vehicle was marked overturn in the vehicle sequence of events.

PDO (Property Damage Only) Crash: A motor vehicle traffic crash in which damage to public or private property is greater than $1,000 and does not incur any injuries.

Pedalcycle: A non-motorized vehicle propelled by pedaling (bicycle, tricycle, etc.) Pedestrian: A person who is not an occupant of a motor vehicle that is in-transport. (includes pedalcyclists, riders of animals, occupants of animal-drawn vehicles, injured occupants of a vehicle not in transport (legally parked), and machine operators or passengers of a machine when such machine is being used for its intended purpose). Police Pursuit Crashes:

Involve a pursued vehicle by at least one law enforcement vehicle. These crashes do not include intentional “legal intervention” measures to stop or redirect a vehicle such as: spike strips, collisions, road blocks, etc.

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Personal Conveyances:

A personal conveyance is a device, other than a transport device, used by a pedestrian for personal mobility assistance or recreation. These devices can be motorized or human powered, but not propelled by pedaling.

Examples: � Rideable toys ▪ Motorized rideable toys � Roller skates or incline skates ▪ Motorized skateboard � Skateboards ▪ Motorized toy car � Roller blades ▪ Sidewalk scooters � Baby Carriage ▪ Devices for personal mobility assistance � Scooters ▪ Segway-style devices � Toy Wagons ▪ Motorized/non-motorized wheelchairs

▪ Handicapped scooters

Reckless / Careless Driving: Reckless: marked by a lack of caution; rash; irresponsible; wild; negligent. Careless: not taking care; unconcerned or indifferent of the consequences. Examples: Excessive speed or racing, “pulling stunts” with a vehicle, disregarding traffic control devices (intentional), etc. The reporting officer can record this contributing circumstance code as it applies to the driver’s actions. Such actions reflect a driver’s apathy towards the law and/or others. Note: This is not the same as aggressive / antagonistic driving

Rural (or Rural Area): Locations with less than 5,000 inhabitants, except those classified as rural by the U.S. Census Bureau. School Bus Crash: A crash coded with at least one of the following: Vehicle Body Type = 14 School Bus Vehicle Use = 03 School Bus Single-Vehicle Crashes:

A crash involving only one motor vehicle and no pedestrians. Snow & Ice Crashes:

A crash coded with at least one of the following conditions: On Road Surface Condition = Snow, Slush, or Ice Weather = Sleet, Snow, Freezing Rain, Sleet & fog, Snow & Wind On/At Road Contributing Circumstance = Icy or Slushy; Snowpacked Environment Contributing Circumstance = Sleet, Hail, or Freezing Rain; Falling Snow

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Speed-Related: A crash in which the reporting officer recorded either “too fast for conditions” or “exceeded posted speed limit” as a contributing circumstance for a driver involved. Type of Crash: The category that best describes the first harmful event.

Urban (or Urban Area): All places of 5,000 or more inhabitants, and the towns, townships, and other areas classified as urban by the U.S. Census Bureau. Vehicle Miles of Travel (VMT): The estimated total number of miles driven during the year by all vehicles within the state. Work Zone Crash: A crash occurring within a construction zone or a road maintenance zone.

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2017 kansas traffic crash facts book table of contents€¦ · all persons involved in traffic...

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