June 2018 Revised 8/3/2018 2017 Reporting Criteria Please pay particular attention to the wording when interpreting the three levels of data gathered for this report. Crash The Crash Level analyzes data related to crash events and returns one result per crash. Examples: Time, weather, and location. Units The Units Level analyzes the experience of the units in the crash and returns one result per vehicle, driver, pedestrian, bicyclist, or train. Examples: Vehicle type, driver condition, and unit events. People The People Level analyzes the experience of the people involved in the crash and returns one result per occupant/person/party. Examples: Age, injury severity, and seat belt or helmet use. KABCO Injury Indicator: K = Killed A = Suspected Serious Injury B = Suspected Minor Injury C = Possible Injury O = No Injury Property Damage Only (PDO) Washtenaw County 2017 Traffic Crash Data & 2013-2017 5-Year Trends Sources: The crashes in this report occurred on public roadways in Michigan and resulted in injuries, fatalities, or property damage (with $1,000 as a reporting threshold). The information was gathered from Michigan Traffic Crash Report Forms (UD-10) submitted by local police departments, sheriff's offices, and the Michigan State Police. Other related information was obtained from the departments of Transportation, State, and Community Health.
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Washtenaw County 1 by most severe injury (mapped/actual) K - (37/37) A - Suspected Serious (147/147) Washtenaw County In 2017: There were 20,569 drivers involved in 11,331 motor vehicle crashes in Washtenaw County. Of those crashes, 37 were classified as fatal, resulting in 39 fatalities. An additional 2,614 persons were injured. Washtenaw County experienced the highest number of motor vehicle crashes (1,243) in December, the highest number of fatal crashes (7) and the highest number of persons killed (8) in July. Michigan driver statistics indicate 6.7 percent of licensed drivers in Washtenaw County were age 16-20, and 11.4 percent of drivers in crashes were also in that age group. 2017 - and Injuries by Month Month 2017 - Vehicles in Vehicle Type Injury Property Damage Only (PDO) ities Persons Injuries January 1,032 3 173 856 3 225 February 785 1 114 670 1 148 March 990 2 178 810 2 240 April 757 2 141 614 2 196 May 876 4 168 704 4 221 June 873 3 179 691 3 237 July 786 7 150 629 8 205 August 794 4 164 626 4 211 September 879 2 173 704 2 223 October 1,132 4 198 930 4 249 November 1,184 3 173 1,008 3 236 December 1,243 2 167 1,074 3 223 11,331 37 1,978 9,316 39 2,614 2017 - Driver Statistics Age Group 2017 Population Motor Vehicles Number of Vehicles % of Number % of Injury Number PDO Number Passenger car, SUV, van 17,786 86.5 44 78.6 3,193 14,549 Motor home 29 0.1 0 0.0 12 17 Pickup truck 1,574 7.7 2 3.6 267 1,305 Small truck under 10,000 lbs. GVWR 111 0.5 0 0.0 16 95 Motorcycle 93 0.5 4 7.1 67 22 Moped / goped 12 0.1 0 0.0 8 4 Go-cart / golf cart 0 0.0 0 0.0 0 0 Snowmobile 0 0.0 0 0.0 0 0 Off-Road Vehicle - ORV / All- Terrain Vehicle - ATV Washtenaw County Licensed in Per 10k Population Driver Rates Per 10k Licensed 0-15 60,504 1,810 36 6.0 198.9 16-20 40,346 17,213 2,345 581.2 1,362.3 21-24 37,425 20,068 2,347 627.1 1,169.5 25-64 180,205 174,117 12,555 696.7 721.1 65 + 49,147 44,835 1,835 373.4 409.3 Unknown 0 0 1,451 - - - - 367,627 258,043 20,569 559.5 797.1 7 0.0 1 1.8 3 3 Other 56 0.3 1 1.8 7 48 Truck/bus over 10,000 lbs. 661 3.2 4 7.1 92 565 Unknown 240 1.2 0 0.0 15 225 20,569 100.0 56 100.0 3,680 16,833
2 5-Year Trend - by Month Month January 1,066 0 1,624 0 1,222 3 983 2 1,032 3 February 965 0 1,031 3 963 1 950 2 785 1 March 696 4 914 1 734 1 982 0 990 2 April 718 3 610 4 704 1 914 2 757 2 May 807 4 775 5 779 2 880 3 876 4 June 821 1 839 4 864 1 917 2 873 3 July 763 4 742 3 786 6 904 2 786 7 August 763 2 750 1 788 1 880 4 794 4 September 867 2 891 3 918 2 966 2 879 2 October 1,078 3 1,044 2 1,062 4 1,008 2 1,132 4 November 1,054 4 1,173 1 1,131 2 1,157 2 1,184 3 December 1,066 4 849 2 888 2 1,161 0 1,243 2 10,664 31 11,242 29 10,839 26 11,702 23 11,331 37 Note: Indicates that the highest number of total crashes reported in the 5-year period occurred in the same month 5-Year Trend - by Day of Week Day Monday 1,703 4 1,560 1 1,615 2 1,693 5 1,715 6 Tuesday 1,623 3 1,661 2 1,726 1 1,838 4 1,768 6 Wednesday 1,573 5 1,935 6 1,752 7 1,943 3 1,773 10 Thursday 1,674 6 1,870 6 1,591 6 1,974 2 1,828 3 Friday 1,767 6 1,832 5 1,772 5 1,976 3 1,931 6 Saturday 1,330 5 1,308 4 1,394 4 1,303 4 1,287 2 Sunday 994 2 1,076 5 989 1 975 2 1,029 4 10,664 31 11,242 29 10,839 26 11,702 23 11,331 37 Note: Indicates that the highest number of total crashes reported in the 5-year period occurred on the same day of the week
3 2017 - by Day of Week Day Number All Injury % of Number % of PDO A B C Number Monday 1,715 15.1 6 16.2 18 88 179 1,424 Tuesday 1,768 15.6 6 16.2 16 112 190 1,444 Wednesday 1,773 15.6 10 27.0 22 96 171 1,474 Thursday 1,828 16.1 3 8.1 22 106 191 1,506 Friday 1,931 17.0 6 16.2 29 132 179 1,585 Saturday 1,287 11.4 2 5.4 21 90 122 1,052 Sunday 1,029 9.1 4 10.8 19 81 94 831 11,331 100.0 37 100.0 147 705 1,126 9,316
4 5-Year Trend - by Weekday and Weekend Portion of Week Weekday 8,340 24 8,858 20 8,456 21 9,424 17 9,015 31 Weekend 2,324 7 2,384 9 2,383 5 2,278 6 2,316 6 10,664 31 11,242 29 10,839 26 11,702 23 11,331 37 Weekday Weekend 2013 8,340 2,324 10,664 2014 8,858 2,384 11,242 2015 8,456 2,383 10,839 2016 9,424 2,278 11,702 2017 9,015 2,316 11,331 Average 8,819 2,337 11,156
5 5-Year Trend - by Time of Day Time of Day Midnight - 2:59 AM 480 5 467 5 404 5 437 1 439 1 3:00 AM - 5:59 AM 336 4 357 1 340 0 282 2 355 2 6:00 AM - 8:59 AM 1,563 3 1,641 5 1,577 3 1,819 2 1,707 4 9:00 AM - 11:59 AM 1,446 3 1,618 3 1,423 1 1,488 3 1,440 1 Noon - 2:59 PM 1,752 8 1,890 1 1,718 5 1,915 3 1,843 7 3:00 PM - 5:59 PM 2,578 5 2,794 6 2,944 5 3,151 2 3,057 6 6:00 PM - 8:59 PM 1,678 2 1,702 5 1,588 3 1,755 6 1,676 8 9:00 PM - 11:59 PM 830 1 768 3 840 4 851 4 809 8 Unknown 1 0 5 0 5 0 4 0 5 0 10,664 31 11,242 29 10,839 26 11,702 23 11,331 37 Note: Indicates that the highest number of total crashes reported in the 5-year period occurred in the same time period Midnight 3:00 AM - - 2:59 AM 5:59 AM 6:00 AM - 8:59 AM 9:00 AM - 11:59 AM Noon - 2:59 PM 3:00 PM - 5:59 PM 6:00 PM - 8:59 PM 9:00 PM - 11:59 PM Unknown 2013 480 336 1,563 1,446 1,752 2,578 1,678 830 1 10,664 2014 467 357 1,641 1,618 1,890 2,794 1,702 768 5 11,242 2015 404 340 1,577 1,423 1,718 2,944 1,588 840 5 10,839 2016 437 282 1,819 1,488 1,915 3,151 1,755 851 4 11,702 2017 439 355 1,707 1,440 1,843 3,057 1,676 809 5 11,331 Average 445 334 1,661 1,483 1,824 2,905 1,680 820 4 11,156 Midnight 3:00 AM - - 2:59 AM 5:59 AM 6:00 AM - 8:59 AM 9:00 AM - 11:59 AM Noon - 2:59 PM 3:00 PM - 5:59 PM 6:00 PM - 8:59 PM 9:00 PM - 11:59 PM Unknown 2013 5 4 3 3 8 5 2 1 0 31 2014 5 1 5 3 1 6 5 3 0 29 2015 5 0 3 1 5 5 3 4 0 26 2016 1 2 2 3 3 2 6 4 0 23 2017 1 2 4 1 7 6 8 8 0 37 Average 3 2 3 2 5 5 5 4 0 29
6 2017 - Time and Severity Time of Day Number All Injury % of Number % of PDO A B C Number Midnight - 2:59 AM 439 3.9 1 2.7 12 44 37 345 3:00 AM - 5:59 AM 355 3.1 2 5.4 16 26 28 283 6:00 AM - 8:59 AM 1,707 15.1 4 10.8 20 85 150 1,448 9:00 AM - 11:59 AM 1,440 12.7 1 2.7 13 75 136 1,215 Noon - 2:59 PM 1,843 16.3 7 18.9 15 95 205 1,521 3:00 PM - 5:59 PM 3,057 27.0 6 16.2 27 198 338 2,488 6:00 PM - 8:59 PM 1,676 14.8 8 21.6 25 116 147 1,380 9:00 PM - 11:59 PM 809 7.1 8 21.6 19 66 85 631 Unknown 5 0.0 0 0.0 0 0 0 5 11,331 100.0 37 100.0 147 705 1,126 9,316
7 5-Year Trend - Deer-Involved by Time of Day Time of Day Midnight - 2:59 AM 86 0 73 0 86 0 69 0 69 0 3:00 AM - 5:59 AM 103 0 75 0 102 0 68 0 108 1 6:00 AM - 8:59 AM 247 0 204 0 222 0 233 0 244 0 9:00 AM - 11:59 AM 65 0 50 0 51 0 69 0 37 0 Noon - 2:59 PM 42 0 51 0 44 0 34 0 34 0 3:00 PM - 5:59 PM 70 0 82 0 95 0 87 0 81 0 6:00 PM - 8:59 PM 264 0 236 0 271 0 250 0 240 0 9:00 PM - 11:59 PM 181 0 181 0 191 0 151 0 149 0 Unknown 0 0 0 0 0 0 0 0 0 0 1,058 0 952 0 1,062 0 961 0 962 1 Note: Indicates that the highest number of total crashes reported in the 5-year period occurred in the same time period Midnight - 2:59 AM 3:00 AM - 5:59 AM 6:00 AM - 8:59 AM 9:00 AM - 11:59 AM Noon - 2:59 PM 3:00 PM - 5:59 PM 6:00 PM - 8:59 PM 9:00 PM - 11:59 PM Unknown 2013 86 103 247 65 42 70 264 181 0 1,058 2014 73 75 204 50 51 82 236 181 0 952 2015 86 102 222 51 44 95 271 191 0 1,062 2016 69 68 233 69 34 87 250 151 0 961 2017 69 108 244 37 34 81 240 149 0 962 Average 77 91 230 54 41 83 252 171 0 999
8 2017 - Reported Motor Vehicle by Municipality Municipality Injury Property Damage US Route State Route Local Street Interstate Alcohol- Involved Drug- Involved Deer- Involved Persons ities Injuries Ann Arbor 3,471 4 518 2,949 803 206 73 2,388 78 10 56 4 672 Ann Arbor Twp. 727 0 117 610 4 520 36 166 10 5 61 0 156 Augusta Twp. 112 2 41 69 0 0 0 112 12 5 14 2 62 Barton Hills 2 0 1 1 0 0 0 2 0 0 0 0 1 Bridgewater Twp. 59 0 9 50 0 15 0 44 1 2 27 0 10 Chelsea 150 1 22 127 16 0 92 42 6 2 16 1 28 Dexter 78 0 13 65 0 0 0 78 2 1 5 0 17 Dexter Twp. 125 2 25 98 0 0 0 125 5 1 50 2 31 Freedom Twp. 36 2 6 28 0 0 0 36 1 1 14 2 10 Lima Twp. 192 3 31 158 92 0 0 100 8 3 54 3 46 Lodi Twp. 154 0 35 119 0 0 0 154 6 0 39 0 44 Lyndon Twp. 73 0 9 64 0 0 28 45 2 0 35 0 13 Manchester 31 1 3 27 0 0 11 20 0 1 3 2 3 Manchester Twp. 60 1 8 51 0 1 20 39 1 2 35 1 9 Milan 55 0 7 48 0 3 0 52 2 1 1 0 7 Northfield Twp. 386 3 57 326 0 229 0 157 20 4 42 3 68 Pittsfield Twp. 1,406 2 238 1,166 178 467 164 597 34 7 65 3 294 Salem Twp. 216 2 49 165 0 0 55 160 13 1 40 2 71 Saline 195 0 31 164 0 135 0 60 4 3 7 0 51 Saline Twp. 51 0 13 38 0 16 0 34 5 2 23 0 17 Scio Twp. 550 0 100 450 154 0 18 378 12 6 112 0 130 Sharon Twp. 48 1 13 34 0 0 17 31 5 2 18 1 13 Superior Twp. 431 0 81 350 0 0 189 242 9 4 73 0 111 Sylvan Twp. 208 1 36 171 125 0 36 47 7 1 49 1 45 Webster Twp. 125 1 29 95 0 0 0 125 5 4 52 1 40 York Twp. 236 2 39 195 0 100 0 136 11 5 35 2 56 Ypsilanti 904 1 159 744 88 189 242 385 20 10 7 1 206 Ypsilanti Twp. 1,250 8 288 954 172 138 102 838 62 31 29 8 403 Unknown Community 0 0 0 0 0 0 0 0 0 0 0 0 0 11,331 37 1,978 9,316 1,632 2,019 1,083 6,593 341 114 962 39 2,614
9 5-Year Trend - in Coded Drinking by Driver Age Driver Age in Coded Drinking in Coded Drinking in Coded Drinking in Coded Drinking in Coded Drinking 0-15 33 0 23 0 23 0 30 0 36 0 16-20 2,226 18 2,159 31 2,215 28 2,405 19 2,345 19 21-24 2,376 83 2,400 75 2,325 78 2,548 67 2,347 66 25-64 11,486 206 12,326 208 11,967 209 13,049 228 12,555 223 65 + 1,379 16 1,660 6 1,660 11 1,808 6 1,835 19 Unknown 1,322 2 1,568 1 1,379 0 1,486 1 1,451 0 18,822 325 20,136 321 19,569 326 21,326 321 20,569 327 0-15 16-20 21-24 25-64 65 + Unknown 2013 33 2,226 2,376 11,486 1,379 1,322 18,822 2014 23 2,159 2,400 12,326 1,660 1,568 20,136 2015 23 2,215 2,325 11,967 1,660 1,379 19,569 2016 30 2,405 2,548 13,049 1,808 1,486 21,326 2017 36 2,345 2,347 12,555 1,835 1,451 20,569 Average 29 2,270 2,399 12,277 1,668 1,441 20,084 0-15 16-20 21-24 25-64 65 + Unknown 2013 0 18 83 206 16 2 325 2014 0 31 75 208 6 1 321 2015 0 28 78 209 11 0 326 2016 0 19 67 228 6 1 321 2017 0 19 66 223 19 0 327 Average 0 23 74 215 12 1 324
10 2017 - Bodily Alcohol Concentration (BAC) Results Among All Vehicle in Alcohol-Involved by Age Age Group in Alcohol- Involved Tested in all Coded Drinking, Tested Coded Drinking BAC Result Range for Coded Drinking BAC = 0.00 BAC 0.01 g/dl to 0.07 g/dl BAC 0.08 g/dl to 0.16 g/dl BAC 0.17 g/dl and Above BAC Not Reported 0-15 0 0 0 0 0 0 0 0 0 16-20 28 28 18 19 0 4 5 1 9 21-24 86 62 54 66 3 5 18 7 33 25-64 324 218 188 223 3 17 37 44 122 65 + 26 21 17 19 0 1 6 6 6 Unknown 41 0 0 0 0 0 0 0 0 505 329 277 327 6 27 66 58 170 Notes: BAC measured in grams (g) per deciliter (dl). BAC may not be reported if drivers are not tested or if the results are not available immediately (as in the case of a blood test). A driver may be coded by the officer as drinking even though no test is administered. Alcohol-Involved In 2017, there were 505 drivers in alcohol-involved crashes; 327 (64.8%) of those drivers were coded as had-been-drinking by the officer on the crash form. 124 (37.9%) of the 327 drivers had a blood alcohol concentration (BAC) of 0.08 g/dl (grams per deciliter) or greater, and 58 (46.8%) of the 124 drivers had a BAC at or above 0.17 g/dl. 277 (84.7%) of the 327 drivers were coded as hadbeen-drinking and were tested for alcohol consumption. 5-Year Trend - Involving Alcohol Year All HBD % HBD HBD % HBD A Injury HBD A Injury % HBD B Injury HBD B Injury 2013 10,664 332 3.1 31 6 19.4 143 27 18.9 529 41 7.8 2014 11,242 320 2.8 29 8 27.6 126 25 19.8 472 48 10.2 2015 10,839 332 3.1 26 8 30.8 100 20 20.0 487 38 7.8 2016 11,702 329 2.8 23 6 26.1 129 19 14.7 705 70 9.9 2017 11,331 341** 3.0 37** 17** 45.9** 147** 24 16.3 705 70 9.9 Note: * Indicates that the most recent year is the lowest number or percentage reported in the 5-year period in that column ** Indicates that the most recent year is the highest number or percentage reported in the 5-year period in that column % HBD Note: Had-Been-Drinking (HBD)
11 5-Year Trend - Involving Drugs Year All Drug % Drug Drug % Drug A Injury Drug A Injury % Drug B Injury Drug B Injury 2013 10,664 85 0.8 31 5 16.1 143 7 4.9 529 14 2.6 2014 11,242 84 0.7 29 5 17.2 126 10 7.9 472 11 2.3 2015 10,839 121 1.1 26 8 30.8 100 7 7.0 487 23 4.7 2016 11,702 103 0.9 23 5 21.7 129 11 8.5 705 21 3.0 2017 11,331 114 1.0 37** 15** 40.5** 147** 14** 9.5** 705 23 3.3 Note: * Indicates that the most recent year is the lowest number or percentage reported in the 5-year period in that column ** Indicates that the most recent year is the highest number or percentage reported in the 5-year period in that column % Drug
12 5-Year Trend - Involving Alcohol or Drugs Year All HBD or Drug % HBD or Drug HBD or Drug % HBD or Drug A Injury HBD or Drug A Injury % HBD or Drug B Injury HBD or Drug B Injury 2013 10,664 373 3.5 31 8 25.8 143 29 20.3 529 50 9.5 2014 11,242 353 3.1 29 10 34.5 126 29 23.0 472 52 11.0 2015 10,839 396 3.7 26 12 46.2 100 25 25.0 487 48 9.9 2016 11,702 385 3.3 23 10 43.5 129 21 16.3 705 82 11.6 2017 11,331 401** 3.5 37** 22** 59.5** 147** 31** 21.1 705 81 11.5 Note: * Indicates that the most recent year is the lowest number or percentage reported in the 5-year period in that column ** Indicates that the most recent year is the highest number or percentage reported in the 5-year period in that column % HBD or Drug Note: Had-Been-Drinking (HBD)
13 2017 - s Worn Among Vehicle and Passengers by Vehicle Type Vehicle Type Passenger car, SUV, van Occupants ities A - Suspected Serious B - Suspected Minor C - Possible Injury No Injury % % % % % 18,250 16,779 91.9 26 15 57.7 114 88 77.2 649 609 93.8 1,403 1,355 96.6 14,962 14,712 98.3 Motor home 35 34 97.1 0 0 0.0 1 1 100.0 1 1 100.0 10 10 100.0 22 22 100.0 Pickup truck 1,597 1,432 89.7 0 0 0.0 10 6 60.0 52 43 82.7 79 73 92.4 1,345 1,310 97.4 % Small truck under 10,000 lbs. GVWR 113 103 91.2 0 0 0.0 0 0 0.0 1 1 100.0 3 1 33.3 102 101 99.0 Motorcycle 99 73 73.7 4 1 25.0 12 8 66.7 41 32 78.0 19 18 94.7 19 14 73.7 Moped / goped 12 7 58.3 0 0 0.0 2 1 50.0 4 2 50.0 2 2 100.0 4 2 50.0 Go-cart / golf cart 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 Snowmobile 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 Off-Road Vehicle - ORV / All-Terrain Vehicle - ATV 9 1 11.1 1 1 100.0 4 0 0.0 0 0 0.0 1 0 0.0 2 0 0.0 Other 57 32 56.1 0 0 0.0 0 0 0.0 3 1 33.3 0 0 0.0 37 31 83.8 Truck/bus over 10,000 lbs. 669 607 90.7 1 1 100.0 5 1 20.0 10 7 70.0 20 18 90.0 597 580 97.2 Unknown 241 0 0.0 0 0 0.0 0 0 0.0 0 0 0.0 1 0 0.0 0 0 0.0 21,082 19,068 90.4 32 18 0.0 148 105 70.9 761 696 91.5 1,538 1,477 96.0 17,090 16,772 98.1 Note: Use includes shoulder belt only used, lap belt only used, both lap and shoulder belts used, child restraint used, restraint failure, and helmet worn. 2017 - s Worn Among Vehicle and Passengers by Age Age Group Occupants ities A - Suspected Serious B - Suspected Minor C - Possible Injury No Injury % % % % % 0-15 172 153 89.0 1 1 100.0 3 3 100.0 25 22 88.0 109 105 96.3 33 22 66.7 16-20 2,419 2,347 97.0 2 2 100.0 23 15 65.2 95 87 91.6 176 169 96.0 2,109 2,074 98.3 21-24 2,393 2,317 96.8 4 1 25.0 21 14 66.7 112 99 88.4 167 154 92.2 2,085 2,049 98.3 25-64 12,773 12,437 97.4 20 12 60.0 83 60 72.3 446 407 91.3 942 913 96.9 11,248 11,045 98.2 65 + 1,873 1,813 96.8 5 2 40.0 18 13 72.2 82 80 97.6 144 136 94.4 1,615 1,582 98.0 Unknown 1,452 1 0.1 0 0 0.0 0 0 0.0 1 1 100.0 0 0 0.0 0 0 0.0 21,082 19,068 90.4 32 18 0.0 148 105 70.9 761 696 91.5 1,538 1,477 96.0 17,090 16,772 98.1 Note: Use includes shoulder belt only used, lap belt only used, both lap and shoulder belts used, child restraint used, restraint failure, and helmet worn. %
14 5-Year Trend - Use Among Use No belts available 19 1 2 19 1 3 16 0 4 19 0 2 11 0 1 Shoulder belt only used 5 0 1 7 0 0 7 0 2 13 0 2 16 0 2 Lap belt only used 13 1 0 14 0 1 16 0 1 15 0 3 9 0 2 Both lap & shoulder belts used 17,089 16 1,633 18,114 7 1,595 17,667 8 1,686 19,127 4 1,853 18,520 14 1,771 No belts used 73 6 38 67 3 36 75 3 35 86 1 33 91 7 41 Child restraint used 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Child restraint not used, unavailable or improper use 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 failure 2 0 1 0 0 0 1 0 0 0 0 0 1 0 1 use unknown 1,348 1 22 1,650 3 29 1,500 2 36 1,712 3 61 1,299 2 45 Helmet worn 95 0 73 81 6 54 92 3 65 75 1 57 77 2 59 Helmet not worn 21 0 16 25 1 19 32 2 22 35 3 23 24 2 15 Helmet use unknown 2 0 2 7 0 5 7 0 5 5 0 3 4 0 2 Uncoded & errors 155 0 0 152 0 0 156 0 0 239 0 0 517 0 0 18,822 25 1,788 20,136 21 1,742 19,569 18 1,856 21,326 12 2,037 20,569 27 1,939 5-Year Trend - Use Among Coded Drinking Use No belts available 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 Shoulder belt only used 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 Lap belt only used 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 Both lap & shoulder belts used 261 3 75 256 1 84 261 1 71 257 1 94 254 3 92 No belts used 19 3 13 17 1 12 13 2 7 12 0 5 20 3 11 Child restraint used 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Child restraint not used, unavailable or improper use 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 failure 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 use unknown 39 0 10 39 2 12 47 1 13 38 1 21 49 1 18 Helmet worn 3 0 3 6 1 4 1 0 1 4 0 3 1 0 1 Helmet not worn 2 0 2 2 0 2 3 1 2 8 1 6 3 0 3 Helmet use unknown 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 Uncoded & errors 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 325 6 104 321 6 114 326 5 94 321 3 130 327 7 125
15 5-Year Trend - Seatbelt Not Among by Age Age Group 0-15 1 0 1 2 0 1 1 0 1 0 0 0 2 0 0 16-20 12 1 5 8 0 4 13 0 4 10 0 4 14 0 9 21-24 18 2 7 12 1 6 14 2 7 18 0 7 19 2 10 25-64 53 1 25 55 2 26 54 1 24 70 1 20 60 3 21 65 + 8 3 2 8 1 2 7 0 3 5 0 4 7 2 2 Unknown 0 0 0 1 0 0 2 0 0 2 0 0 0 0 0 92 7 40 86 4 39 91 3 39 105 1 35 102 7 42 Note: Seatbelt Not includes no belts available or no belts used. 0-15 16-20 21-24 25-64 65 + Unknown 2013 1 12 18 53 8 0 92 2014 2 8 12 55 8 1 86 2015 1 13 14 54 7 2 91 2016 0 10 18 70 5 2 105 2017 2 14 19 60 7 0 102 Average 1 11 16 58 7 1 95
16 5-Year Trend - Seatbelt Among by Age Age Group 0-15 27 0 2 19 0 3 20 0 2 28 0 4 24 0 2 16-20 2,187 1 211 2,120 1 187 2,148 2 182 2,340 0 220 2,271 2 197 21-24 2,319 0 226 2,326 1 181 2,269 1 206 2,463 1 234 2,272 1 224 25-64 11,226 13 1,049 12,031 4 1,064 11,618 3 1,133 12,567 2 1,213 12,203 10 1,159 65 + 1,349 3 147 1,633 1 160 1,630 2 166 1,756 1 187 1,776 1 194 Unknown 1 0 0 6 0 1 6 0 0 1 0 0 0 0 0 17,109 17 1,635 18,135 7 1,596 17,691 8 1,689 19,155 4 1,858 18,546 14 1,776 Note: Seatbelt includes shoulder belt only used, lap belt only used, both lap and shoulder belts used, and restraint failure. 0-15 16-20 21-24 25-64 65 + Unknown 2013 27 2,187 2,319 11,226 1,349 1 17,109 2014 19 2,120 2,326 12,031 1,633 6 18,135 2015 20 2,148 2,269 11,618 1,630 6 17,691 2016 28 2,340 2,463 12,567 1,756 1 19,155 2017 24 2,271 2,272 12,203 1,776 0 18,546 Average 24 2,213 2,330 11,929 1,629 3 18,127
17 5-Year Trend - in by Hazardous Action Hazardous Action in in in in in in in in in in None 8,861 15 9,344 14 9,422 21 10,124 9 9,797 25 Speed too fast 1,363 6 1,602 8 1,126 11 1,016 4 1,147 5 Speed too slow 6 0 4 0 4 0 3 0 3 0 Failed to yield 1,596 3 1,802 4 1,714 1 2,078 1 1,965 5 Disregard traffic control 217 0 216 0 268 2 290 0 277 1 Drove wrong way 16 0 14 0 4 0 8 0 8 0 Drove left of center 100 4 88 0 97 4 81 1 91 4 Improper passing 108 1 121 0 116 0 106 0 107 1 Improper lane use 426 0 431 0 400 0 477 1 489 1 Improper turn 192 0 178 0 198 0 230 0 185 0 Improper/no signal 33 1 32 0 55 0 41 0 52 0 Improper backing 272 0 320 0 291 0 229 0 240 0 Unable to stop in assured clear distance 3,255 0 3,333 3 3,431 2 3,924 0 3,686 3 Other 588 4 612 5 503 2 520 1 543 4 Unknown 840 4 932 2 862 1 1,093 4 1,032 2 Reckless driving 80 4 64 2 60 1 73 1 70 3 Careless/negligent driving 335 3 411 6 499 1 516 6 383 2 Uncoded & errors 534 3 632 0 519 0 517 0 494 0 18,822 48 20,136 44 19,569 46 21,326 28 20,569 56
18 The picture above represents all 2017 alcohol-involved fatal crashes in Washtenaw County. In 2017, there were 341 alcohol-involved crashes in Washtenaw County: 17 K - 24 A - Suspected Serious Injury 70 B - Suspected Minor Injury 57 C - Possible Injury 173 O - Property Damage Only/No Injury
Office of Highway Safety Planning Physical Address: 7150 Harris Drive Dimondale, Michigan 48821 Mailing Address: P.O. Box 30634 Lansing, Michigan 48909 Phone: (517) 284-3112 Fax: (517) 284-3151 Find us on the web: MichiganTrafficCrashFacts.org