Michigan State Police (MSP) Post 21 - Metro North

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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.

Units The Units Level analyzes the experience of the units in the crash and returns one result per vehicle, driver, pedestrian, bicyclist, or train.

1 June 2018 Revised 8/3/ 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) Michigan State Police (MSP) Post 21 - Metro North 2017 Traffic Crash Data & Year Trends Post 21 is comprised of Macomb and Oakland counties. Trend tables for this report are based on those counties. 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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3 MSP Post 21 - Metro North There were 67,168 crashes in Post 21 during [Page 1] A total of 111 fatalities resulted from 109 fatal crashes in 2017 in Post 21. [Page 1] There were 17,918 injuries and 13,329 injury crashes. [Page 1] There were 53,730 property damage only crashes (no fatalities or injuries). [Page 1] December had the highest number of crashes (7,253). [Pages 1-2] September had the highest number of fatal crashes (13) and fatalities (13). [Pages 1-2] May had the highest number of injury crashes (1,301) and injuries (1,765). [Page 1] December had the highest number of property damage only crashes (6,103). [Page 1] Of all vehicles involved in fatal crashes, 17 (8.7%) were motorcycles. [Page 1] Tuesday was the day of the week with the highest number of crashes (11,123) and Thursday had the highest number of fatal crashes (22). [Pages 2-3] The 3:00 PM - 5:59 PM time period had the highest number of crashes (18,678). This holds true for every year between 2013 and The 9:00 PM - 11:59 PM time period had the highest number of fatal crashes (23). [Pages 5-6] During the period from 2013 to 2017, the highest number of deer crashes occurred in 2015 (2,503). The 6:00 PM - 8:59 PM time period consistently had the highest number of deer-involved crashes during the five-year period. There were 1 fatal crashes involving deer in [Pages 7-8] Oakland County (62.2%) had the highest number of crashes in Post 21 in 2017, followed by Macomb County (37.8%), and (0.0%). [Page 8] Oakland County (62.2%) had the highest number of fatalities in Post 21 in 2017, followed by Macomb County (37.8%), and (0.0%). [Page 8] The highest number of drivers in crashes (132,529) occurred during 2016 and the highest number of drivers coded drinking in crashes (1,816) occurred during 2014 within the five year period between 2013 and [Page 9] A total of 1,791 crashes involved alcohol in [Page 10] Alcohol-involved fatal crashes were the highest in 2016 during the five-year period from 2013 to 2017 at 39. [Page 10] A total of 554 crashes, 26 fatal crashes, and 57 suspected serious injury crashes involved drugs in [Page 11] There were 116,992 drivers wearing seatbelts and 436 drivers not wearing seatbelts in crashes in Of the 436 drivers not wearing seat belts, 16 (3.7%) were killed and 212 (48.6%) were injured. [Pages 14-16] The most common hazardous action coded for drivers in 2017 in all crashes was unable to stop in assured clear distance (25,474), while the most common hazardous action coded for drivers in fatal crashes was unknown (21). [Page 17]

4 1 In 2017: Post 21 Experience There were 130,774 drivers involved in 67,168 motor vehicle crashes in MSP Post 21. Of those crashes, 109 were classified as fatal, resulting in 111 fatalities. An additional 17,918 persons were injured. Post 21 experienced the highest number of motor vehicle crashes (7,253) in December, the highest number of fatal crashes (13) and the highest number of persons killed (13) in September. Michigan driver statistics indicate 6.5 percent of licensed drivers in Post 21 were age 16-20, and 10.7 percent of drivers in crashes were also in that age group and Injuries by Month Month Injury Property Damage Only (PDO) ities Persons Injuries January 5, , ,343 February 4, , ,180 March 5, ,093 4, ,439 April 4, , ,207 May 6, ,301 4, ,765 June 5, ,176 4, ,629 July 5, ,147 3, ,532 August 5, ,177 4, ,566 September 5, ,152 4, ,569 October 6, ,255 5, ,694 November 5, ,098 4, ,466 December 7, ,142 6, ,528 67, ,329 53, , Driver Statistics Age Group 2017 Population Post 21 Licensed in Per 10k Population Driver Rates Per 10k Licensed ,044 12, , ,873 14,005 1, , , ,433 12,031 1, , ,147,407 1,117,778 81, , ,574 12, Unknown , ,122,211 1,650, , Vehicles in Vehicle Type Motor Vehicles Number of Vehicles % of Number % of Injury Number PDO Number Passenger car, SUV, van 113, ,639 89,325 Motor home Pickup truck 11, ,119 9,224 Small truck under 10,000 lbs. GVWR Motorcycle Moped / goped Go-cart / golf cart Snowmobile Off-Road Vehicle - ORV / All- Terrain Vehicle - ATV Other Truck/bus over 10,000 lbs. 2, ,264 Unknown 1, , , , ,576

2 5-Year Trend - by Month Month 2013 2014 2015 2016 2017 January 5,249 9 7,723 2 6,359 7 5,617 6 5,572 8 February 4,890 8 5,548 7 5,610 6 5,480 8 4,286 8 March 4,398 10 5,122 4 4,753 9 5,301 6 5,659

5 2 5-Year Trend - by Month Month January 5, , , , ,572 8 February 4, , , , ,286 8 March 4, , , , ,659 7 April 4, , , , ,616 5 May 5, , , , ,006 8 June 4, , , , , July 4, , , , , August 4, , , , ,503 8 September 4, , , , , October 5, , , , , November 5, , , , , December 6, , , , , , , , , , 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 8, , , , , Tuesday 9, , , , , Wednesday 9, , , , , Thursday 9, , , , , Friday 9, , , , , Saturday 7, , , , , Sunday 5, , , , , , , , , , 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 10,378 15.5 14 12.8 104 580 1,376 8,304 Tuesday 11,123 16.6 16 14.7 92 607 1,459 8,949 Wednesday 11,030 16.

6 by Day of Week Day Number All Injury % of Number % of PDO A B C Number Monday 10, ,376 8,304 Tuesday 11, ,459 8,949 Wednesday 11, ,377 8,897 Thursday 10, ,412 8,597 Friday 10, ,398 8,754 Saturday 7, ,925 Sunday 5, ,304 67, ,978 8,659 53,730

4 5-Year Trend - by Weekday and Weekend Portion of Week 2013 2014 2015 2016 2017 Weekday 47,849 73 51,987 70 51,469 90 54,729 98 54,179 84 Weekend 12,649 30 12,435 33 13,236 29 13,342 40 12,989 25

7 4 5-Year Trend - by Weekday and Weekend Portion of Week Weekday 47, , , , , Weekend 12, , , , , , , , , , Weekday Weekend ,849 12,649 60, ,987 12,435 64, ,469 13,236 64, ,729 13,342 68, ,179 12,989 67,168 Average 52,043 12,930 64,973

5 5-Year Trend - by Time of Day Time of Day 2013 2014 2015 2016 2017 Midnight - 2:59 AM 1,973 9 1,899 13 2,036 15 2,010 19 1,947 15 3:00 AM - 5:59 AM 1,494 4 1,501 10 1,538 7 1,585 13 1,567 10 6:00

16,342 14 17,286 15 18,170 18 19,042 24 18,678 17 6:00 PM - 8:59 PM 8,895 21 9,226 19 9,609 19 9,855 19 9,514 15 9:00 PM - 11:59 PM 3,980 16 4,125 18 4,101 21 4,382 30 4,180 23 Unknown 24 0 46 0 55 0

8 5 5-Year Trend - by Time of Day Time of Day Midnight - 2:59 AM 1, , , , , :00 AM - 5:59 AM 1, , , , , :00 AM - 8:59 AM 8, , , , , :00 AM - 11:59 AM 8, , , , ,132 9 Noon - 2:59 PM 11, , , , , :00 PM - 5:59 PM 16, , , , , :00 PM - 8:59 PM 8, , , , , :00 PM - 11:59 PM 3, , , , , Unknown , , , , , 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 ,973 1,494 8,568 8,183 11,039 16,342 8,895 3, , ,899 1,501 9,393 8,891 12,055 17,286 9,226 4, , ,036 1,538 8,834 8,462 11,900 18,170 9,609 4, , ,010 1,585 9,790 9,099 12,270 19,042 9,855 4, , ,947 1,567 9,722 9,132 12,408 18,678 9,514 4, ,168 Average 1,973 1,537 9,261 8,753 11,934 17,904 9,420 4, ,973 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 Average

9 Time and Severity Time of Day Number All Injury % of Number % of PDO A B C Number Midnight - 2:59 AM 1, ,478 3:00 AM - 5:59 AM 1, ,251 6:00 AM - 8:59 AM 9, ,194 7,962 9:00 AM - 11:59 AM 9, ,166 7,277 Noon - 2:59 PM 12, ,676 9,832 3:00 PM - 5:59 PM 18, ,495 15,017 6:00 PM - 8:59 PM 9, ,236 7,595 9:00 PM - 11:59 PM 4, ,301 Unknown , ,978 8,659 53,730

7 5-Year Trend - Deer-Involved by Time of Day Time of Day 2013 2014 2015 2016 2017 Midnight - 2:59 AM 197 0 206 0 224 0 221 0 212 1 3:00 AM - 5:59 AM 254 0 257 0 304 0 283 0 267 0 6:00 AM - 8:59 AM

10 7 5-Year Trend - Deer-Involved by Time of Day Time of Day Midnight - 2:59 AM :00 AM - 5:59 AM :00 AM - 8:59 AM :00 AM - 11:59 AM Noon - 2:59 PM :00 PM - 5:59 PM :00 PM - 8:59 PM :00 PM - 11:59 PM Unknown , , , , ,370 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 , , , , ,370 Average ,400

11 Reported Motor Vehicle by County County Injury Property Damage US Route State Route Local Street Interstate Alcohol- Involved Drug- Involved Deer- Involved ities Persons Macomb 25, ,454 19,890 3, ,818 15, ,348 Oakland 41, ,875 33,840 7,428 2,484 7,018 24,795 1, , ,570 67, ,329 53,730 10,488 2,484 13,836 40,284 1, , ,918 Injuries

12 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 , , , , , , , , , , ,412 1,258 77,997 1,287 77,861 1,358 82,509 1,307 81,594 1, , , , , , Unknown 8, , , , , ,515 1, ,109 1, ,668 1, ,529 1, ,774 1, Other/ Unknown ,564 11,078 72,412 10,355 8, , ,267 11,768 77,997 11,026 9, , ,037 12,016 77,861 11,650 9, , ,477 12,620 82,509 12,627 10, , ,005 12,031 81,594 12,910 10, ,774 Average ,870 11,903 78,475 11,714 9, , Other/ Unknown , , , , , , , , , ,757 Average , ,794

13 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 ,040 1,319 1,154 1, Unknown ,980 1,784 1,539 1, 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. 5-Year Trend - Involving Alcohol Year All HBD % HBD HBD % HBD A Injury HBD A Injury % HBD B Injury HBD B Injury ,498 1, , ,422 1, , ,705 1, , ,071 1, , ,168 1,791* ** ,978** * 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 Alcohol-Involved In 2017, there were 2,980 drivers in alcohol-involved crashes; 1,757 (59.0%) of those drivers were coded as had-beendrinking by the officer on the crash form. 916 (52.1%) of the 1,757 drivers had a blood alcohol concentration (BAC) of 0.08 g/dl (grams per deciliter) or greater, and 487 (53.2%) of the 916 drivers had a BAC at or above 0.17 g/dl. 1,539 (87.6%) of the 1,757 drivers were coded as hadbeen-drinking and were tested for alcohol consumption. % HBD Note: Had-Been-Drinking (HBD)

14 11 5-Year Trend - Involving Drugs Year All Drug % Drug Drug % Drug A Injury Drug A Injury % Drug B Injury Drug B Injury , , , , , , , , , ** ** 8.2 3,978** 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

15 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 ,498 2, , ,422 2, , ,705 2, , ,071 2, , ,168 2, ** ** 20.7** 3,978** * 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)

16 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 % % % % % 116, , ,994 3, ,181 10, ,124 91, Motor home Pickup truck 11,542 10, ,534 9, % Small truck under 10,000 lbs. GVWR Motorcycle Moped / goped Go-cart / golf cart Snowmobile Off-Road Vehicle - ORV / All-Terrain Vehicle - ATV Other Truck/bus over 10,000 lbs. 2,831 2, ,527 2, Unknown 1, , , ,508 4, ,123 11, , , 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 s Worn Among Vehicle and Passengers by Age Age Group Occupants ities A - Suspected Serious B - Suspected Minor C - Possible Injury No Injury % % % % % ,126 1, ,471 14, ,201 1, ,577 12, ,302 11, ,096 1, ,583 10, ,005 80, ,761 2, ,542 7, ,820 70, ,339 13, ,459 1, ,157 10, Unknown 10, , , ,508 4, ,123 11, , , 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. %

17 14 5-Year Trend - Use Among Use No belts available Shoulder belt only used Lap belt only used Both lap & shoulder belts used 104, , , , , , , , , ,894 No belts used Child restraint used Child restraint not used, unavailable or improper use failure use unknown 9, , , , , Helmet worn Helmet not worn Helmet use unknown Uncoded & errors 1, , , , , , , , , , , , , , ,799 5-Year Trend - Use Among Coded Drinking Use No belts available Shoulder belt only used Lap belt only used Both lap & shoulder belts used 1, , , , , No belts used Child restraint used Child restraint not used, unavailable or improper use failure use unknown Helmet worn Helmet not worn Helmet use unknown Uncoded & errors , , , , ,

18 15 5-Year Trend - Seatbelt Not Among by Age Age Group Unknown Note: Seatbelt Not includes no belts available or no belts used Other/ Unknown Average

19 16 5-Year Trend - Seatbelt Among by Age Age Group , ,259 12, ,200 13, ,308 14, ,320 13, , , ,157 11, ,222 11, ,213 12, ,335 11, , , ,920 76, ,423 75, ,524 80, ,940 79, , , ,370 10, ,349 11, ,550 12, ,645 12, ,655 Unknown , , , , , , , , , ,931 Note: Seatbelt includes shoulder belt only used, lap belt only used, both lap and shoulder belts used, and restraint failure Other/ Unknown ,277 10,687 70,516 10, , ,968 11,388 76,078 10, , ,655 11,571 75,539 11, , ,080 12,171 80,045 12, , ,615 11,568 79,028 12, ,992 Average ,519 11,477 76,241 11, ,914

20 17 5-Year Trend - in by Hazardous Action Hazardous Action in in in in in in in in in in None 55, , , , , Speed too fast 3, , , , , Speed too slow Failed to yield 11, , , , , Disregard traffic control 1, , , , ,076 5 Drove wrong way Drove left of center Improper passing Improper lane use 2, , , , ,698 0 Improper turn , , ,156 1 Improper/no signal Improper backing 1, , , , ,638 0 Unable to stop in assured clear distance 22, , , , ,474 8 Other 4, , , , , Unknown 5, , , , , Reckless driving Careless/negligent driving 2, , , , ,422 7 Uncoded & errors 2, , , , , , , , , ,

21 18 The picture above represents all 2017 alcohol-involved fatal crashes in Post 21. In 2017, there were 1,791 alcohol-involved crashes in Post 21: 38 K A - Suspected Serious Injury 253 B - Suspected Minor Injury 307 C - Possible Injury 1,086 O - Property Damage Only/No Injury

Office of Highway Safety Planning Physical Address: 7150 Harris Drive Dimondale, Michigan 48821 Mailing Address: P.O. Box

22 Office of Highway Safety Planning Physical Address: 7150 Harris Drive Dimondale, Michigan Mailing Address: P.O. Box Lansing, Michigan Phone: (517) Fax: (517) Find us on the web: MichiganTrafficCrashFacts.org

Michigan State Police (MSP) Post 21 - Metro North

Michigan State Police (MSP) Post 21 - Metro North October 2017 2016 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