ST. LAWRENCE COUNTY TRAFFIC SAFETY DATA. Prepared by Institute for Traffic Safety Management and Research

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1 ST. LAWRENCE COUNTY TRAFFIC SAFETY DATA Prepared by Institute for Traffic Safety Management and Research 80 Wolf Road, Suite 607, Albany, NY Phone FAX February 2009

2 COUNTY TRAFFIC SAFETY DATA This document provides various accident and ticket data for the county. Ticket data are presented for the years Four summary reports provide detailed accident data for the three years The four accident reports provide data for 1) all accidents, 2) alcohol-related accidents, 3) speed-related accidents, and 4) motorcycle accidents. Caution is advised in interpreting the data in cases where the numbers are very small. For assistance in using the data in this document or to request additional information, please contact Institute for Traffic Safety Management and Research 80 Wolf Road, Suite 607 Albany, New York Telephone: Contact Person: Sandra Fuller OR Governor s Traffic Safety Committee Department of Motor Vehicles Empire State Plaza Albany, New York Telephone: Contact Your GTSC Representative RENEE BARCHITTA RICH DEVLIN JENNIFER HOGAN PAUL OVERBAUGH CRAIG WHITTEN Rbarc@dmv.state.ny.us Rdevl@dmv.state.ny.us Jhoga1@dmv.state.ny.us Poverbaugh@dmv.state.ny.us Cwhit@dmv.state.ny.us Clinton Cattaraugus Albany Cayuga Allegany Dutchess Chautauqua Columbia Cortland Broome Essex Erie Fulton Delaware Chemung Franklin Genesee Greene Herkimer Chenango Hamilton Niagara Montgomery Jefferson Livingston Orange Orleans Nassau Lewis Monroe Putnam Wyoming New York City Madison Ontario Rockland Rensselaer Oneida Otsego St. Lawrence Saratoga Onondaga Schuyler Sullivan Schenectady Oswego Steuben Ulster Suffolk Seneca Tioga Warren Washington Schoharie Tompkins Westchester Wayne Yates

3 TABLE OF CONTENTS COUNTY DATA Section Accident Data: General Accident Summary Report... 1 Alcohol-Related Accident Summary Report...2 Speed-Related Accident Summary Report...3 Motorcycle Accident Summary Report...4 Ticket Data: Tickets Issued and Conviction Rates for Selected Violations... 5 DWI/AI Probation Data...5 Tickets Issued by TSLED Agencies by Agency Type... 5 TSLED Tickets Issued for Selected Violations by Enforcement Agency... 5

4 SECTION 1 General Accident Summary Report

5 Motor Vehicle Accidents TABLE 1 Accident Summary s Category s County % of County % of County % of Accidents 1, , , , , , Fatal Accidents 11 1, , , Non-Fatal Personal Injury Accidents , , , Reportable Property Damage Accidents , , , , , Manner of Collision Single Vehicle Accidents , ,266 83, , , Multiple Vehicle Accidents , , , Special Accident Series Pedestrian/Motor Vehicle Accidents 33 15, , , Bicycle/Motor Vehicle Accidents 12 5, , , Motorcycle Accidents 35 4, , , Fatalities Persons Killed (1) 11 1, , , Drivers Killed Passengers Killed Pedestrians Killed Bicyclists Killed Other Non-Fatal Injuries Persons Injured (1) , , , Drivers Injured , , , Passengers Injured , , , Pedestrians Injured 33 15, , , Bicyclists Injured 11 5, , , Other It is important to note that not all of the data for are strictly comparable. Changes in data collection and reporting that began during 2006 with respect to property damage (PDO) accidents have resulted in more PDOs being captured each year on the statewide Accident Information Sysytem (AIS) maintained by the Department of Motor Vehicles, and thus an increase in the total number of accidents each year. Data related to fatal and personal injury accidents and to persons killed or injured are comparable as these data have not been affected by the DMV changes with respect to PDOs. (1) Includes pedestrians, bicyclists and all other non-vehicle involved persons as well as vehicle occupants regardless of seating position. General Notes * Some of the tables are based upon information received from police and motorist reports of motor vehicle accidents. Others are based only on the police reports; these are indicated by a (P). * The Property Damage Accident reporting level is $1,000 or more. * The term "vehicle" always excludes bicycles. * The term "driver" always excludes bicyclists. * Percentages may not total due to rounding. All Accidents Page 1 of 7

6 Motor Vehicle Accidents TABLE 1.1 Crash and Fatality & Injury Rates Crash Rates Crash Rate per 10,000 Population Crash Rate per 10,000 Licensed Drivers Fatality & Injury Rates Fatality & Injury Rate per 10,000 Population Fatality & Injury Rate per 10,000 Licensed Drivers Mean Severity of Injury (MSI) TABLE 2 Day of Week/Time of Day: 2007 Accidents Mid-6am 6am-Noon Time of Day Noon-6pm 6pm-Mid Unknown 2, Sunday Monday Tuesday Wednesday Thursday Friday Saturday Note: 2007 data are similar to earlier years. TABLE 3(P) Police Investigating Agency # % # % # % , , State Police , County Police New York City (NYPD) Municipal Police (non-nyc) Unknown All Accidents Page 2 of 7

7 Motor Vehicle Accidents TABLE 4 Jurisdictional Road System # % # % # % 1, , , State Routes , County Routes Town Routes Municipal Routes Parkways Thruway Other Interstates Unknown TABLE 5 Driver Gender and Age # % # % # % Drivers 1, , , Male , , Female , , Unknown Under Age Ages Ages Ages Ages Ages Ages Ages 70 and Over Unknown Age All Accidents Page 3 of 7

8 Motor Vehicle Accidents TABLE 6(P) Select Accident Contributing Factors # % # % # % Accidents 750 1,433 2,124 Alcohol Involvement* Backing Unsafely Driver Inattention/Distraction Driver Inexperience Failure to Keep Right Failure to Yield R.O.W Following Too Closely Passing/Lane Violations Traffic Control Disregarded Turning Improperly Unsafe Speed* * These numbers represent the total number of accidents in which police checked "alcohol involvement" or "unsafe speed" as apparent contributing factors on police accident report form. They do not represent the total number of alcohol-related or speed-related accidents that occurred in the county. For data on the total number of alcohol-related accidents in the county, see the separate report titled, "Summary of Alcohol-Related Accidents." For data on the total number of speed-related accidents in the county, see the separate report titled, "Summary of Speed-Related Accidents." Note: Many accidents have multiple factors reported. TABLE 7 Persons Killed or Injured by Age Group: Age Group # % # of Ped/Bike # % # of Ped/Bike Under Age Ages Ages Ages Ages Ages Ages Ages Ages Ages Ages 70 and Over Unknown Age TABLE 8(P) Reported Safety Equipment Use # Killed or # Killed or # Killed or Injured % Injured % Injured % Motor Vehicle Occupants No Restraint Used Restraint Used Unknown Motorcyclists No Helmet Used Helmet Used Unknown Bicyclists No Helmet Used Helmet Used Unknown All Accidents Page 4 of 7

9 FIGURE Licensed Drivers and Drivers Involved in Fatal and Personal Injury Accidents by Age Group 30% 25% Licensed Drivers (n=76,817) Drivers in F&PI Accidents (n=871) 27% 20% 19% 19% 15% 14% 15% 16% 15% 14% 12% 12% 10% 5% 6% 5% 7% 8% 10% 2% 0% < Age Group Note: In interpreting these data, any age group with a greater percentage of drivers involved in fatal and personal accidents than licensed drivers indicates that the drivers in that age group are overrepresented in fatal and personal accidents. 12 drivers in fatal and personal injury accidents were excluded due to unknown age. All Accidents Page 5 of 7

10 Motor Vehicle Accidents TABLE 9 Fatal & Personal Injury Crashes, Crash Rate per Roadway Mile, and Mean Severity of Injury (MSI) by County Jurisdiction Pop./ F&PI Crashes/ F&PI Crashes/ F&PI Crashes/ Jurisdiction Pop. % Miles % Mile Crashes Mile MSI Crashes Mile MSI Crashes Mile MSI Towns Brasher 2, Canton 4, Clare na na 0 na na Clifton Colton 1, DeKalb 1, De Peyster Edwards Fine 1, Fowler 2, Gouverneur 3, Hammond Hermon < < Hopkinton Lawrence 1, Lisbon 4, Louisville 2, Macomb < Madrid 1, Massena 2, Morristown 1, Norfolk 4, Oswegatchie 3, Parishville 2, Piercefield < Pierrepont 2, Pitcairn Potsdam 4, All Accidents Page 6 of 7

11 Motor Vehicle Accidents TABLE 9 Fatal & Personal Injury Crashes, Crash Rate per Roadway Mile, and Mean Severity of Injury (MSI) by County Jurisdiction Pop./ F&PI Crashes/ F&PI Crashes/ F&PI Crashes/ Jurisdiction Pop. % Miles % Mile Crashes Mile MSI Crashes Mile MSI Crashes Mile MSI Towns Rossie (con't.) Russell 1, Stockholm 3, Waddington 1, Villages Canton 6, Edwards na na na na Gouverneur 4, Hammond na na Hermon na na Heuvelton Massena 10, Morristown na na 0 na na Norwood 1, Potsdam 9, Rensselaer Falls na na 0 na na 0 na na Richville na na 0 na na Waddington na na City Ogdensburg 11, Other unknown na na na na na 1 na na 1 na na 2 na na St. Lawrence County 111, New York State 19,227, , , , Source: US Census Bureau redistricting data, DOT Highway Mileage report, and the DMV AIS data base. All Accidents Page 7 of 7

12 SECTION 2 Alcohol-Related Accident Summary Report

13 Alcohol-Related Motor Vehicle Accidents TABLE 1(P) Alcohol-Related (A-R) Accidents Category s County % of County % of County % of Accidents 52 5, , , Fatal Accidents Non-Fatal Personal Injury Accidents 44 5, , , Reportable Property Damage Accidents , , Manner of Collision Single Vehicle Accidents 38 3, , , Multiple Vehicle Accidents 14 2, , , Special A-R Accident Series A-R Pedestrian/Motor Vehicle Accidents A-R Bicycle/Motor Vehicle Accidents A-R Motorcycle Accidents Fatalities Persons Killed (1) Drivers Killed Drinking Drivers Non-Drinking Drivers Passengers Killed Pedestrians Killed Bicyclists Killed Other Non-Fatal Injuries Persons Injured (1) 67 7, , , Drivers Injured 42 4, , , Passengers Injured 22 2, , , Pedestrians Injured Bicyclists Injured Other It is important to note that not all of the data for are strictly comparable. Changes in data collection and reporting that began during 2006 with respect to property damage (PDO) accidents have resulted in more PDOs being captured each year on the statewide Accident Information Sysytem (AIS) maintained by the Department of Motor Vehicles, and thus an increase in the total number of accidents each year. Data related to fatal and personal injury accidents and to persons killed or injured are comparable as these data have not been affected by the DMV changes with respect to PDOs. (1) Includes pedestrians, bicyclists and all other non-vehicle involved persons as well as vehicle occupants regardless of seating position. General Notes * All tables are based on information received from police reports. * The Property Damage Accident reporting level is $1,000 or more. * The term "vehicle" always excludes bicycles. * The term "driver" always excludes bicyclists. * Percentages may not total due to rounding. Alcohol-Related Accidents Page 1 of 4

14 Alcohol-Related Motor Vehicle Accidents TABLE 2(P) Day of Week/Time of Day: 2007 Accidents Mid-6am 6am-Noon Time of Day Noon-6pm 6pm-Mid Unknown Sunday Monday Tuesday Wednesday Thursday Friday Saturday Note: 2007 data similar to earlier years TABLE 3(P) Driver Gender and Age # % # % # % Drivers Male Drinking Drivers Non-Drinking Drivers Female Drinking Drivers Non-Drinking Drivers Unknown Drinking Drivers Non-Drinking Drivers Drinking Drivers Under Age Ages Ages Ages Ages Ages Age 60 and Over Unknown Age Non-Drinking Drivers Under Age Ages Ages Ages Ages Ages Age 60 and Over Unknown Age Alcohol-Related Accidents Page 2 of 4

15 Alcohol-Related Motor Vehicle Accidents TABLE 4(P) Select Accident Contributing Factors # % # % # % Accidents Driver Inattention/Distraction Failure to Keep Right Failure to Yield R.O.W Fell Asleep Following Too Closely Passing/Lane Violations Traffic Control Disregarded Unsafe Speed Note: Many accidents have multiple factors reported. TABLE 5(P) Persons Killed or Injured by Age Group: Age Group # % # of Ped/Bike # % # of Ped/Bike Under Age Ages Ages Ages Ages Ages Ages Ages Ages Ages Ages 70 and Over Unknown Age TABLE 6(P) Reported Safety Equipment Use # Killed or # Killed or # Killed or Injured % Injured % Injured % Motor Vehicle Occupants No Restraint Used Restraint Used Unknown Motorcyclists No Helmet Used Helmet Used Unknown Bicyclists No Helmet Used Helmet Used Unknown Alcohol-Related Accidents Page 3 of 4

16 30% 25% 20% FIGURE Licensed Drivers, Impaired Drivers Involved in Alcohol-Related Fatal and Personal Injury Accidents, and Drivers Arrested for Impaired Driving by Age Group Licensed Drivers (n=76,817) Impaired Drivers in A-R F&PI Accidents (n=57) Impaired Driving Arrests (n=635) 23% 22% 28% 21% 19% 19% 19% 27% 15% 16% 12% 12% 16% 15% 16% 10% 7% 7% 8% 8% 5% 2% 4% 2% 0% < Age Group Note: In interpreting these data, any age group with a greater percentage of impaired drivers involved in A-R fatal and personal injury accidents than licensed drivers indicates that the drivers in that age group are overrepresented in A-R fatal and personal injury accidents. Similarly, any age group with a greater percentage of drivers arrested for impaired driving than licensed drivers indicates that drivers in that age group are overrepresented in alcohol-related arrests.. Alcohol-Related Accidents Page 4 of 4

17 SECTION 3 Speed-Related Accident Summary Report

18 Speed-Related Motor Vehicle Accidents TABLE 1(P) Speed-Related (S-R) Accidents Category s County % of County % of County % of Accidents , , , Fatal Accidents Non-Fatal Personal Injury Accidents , , , Reportable Property Damage Accidents 46 1, , , Manner of Collision Single Vehicle Accidents 142 8, , , Multiple Vehicle Accidents 40 7, , , Special S-R Accident Series S-R Pedestrian/Motor Vehicle Accidents S-R Bicycle/Motor Vehicle Accidents S-R Motorcycle Accidents Fatalities Persons Killed (1) Drivers Killed Speeding Drivers Non-Speeding Drivers Passengers Killed Pedestrians Killed Bicyclists Killed Other Non-Fatal Injuries Persons Injured (1) , , , Drivers Injured , , , Passengers Injured 56 6, , , Pedestrians Injured Bicyclists Injured Other It is important to note that not all of the data for are strictly comparable. Changes in data collection and reporting that began during 2006 with respect to property damage (PDO) accidents have resulted in more PDOs being captured each year on the statewide Accident Information Sysytem (AIS) maintained by the Department of Motor Vehicles, and thus an increase in the total number of accidents each year. Data related to fatal and personal injury accidents and to persons killed or injured are comparable as these data have not been affected by the DMV changes with respect to PDOs. (1) Includes pedestrians, bicyclists and all other non-vehicle involved persons as well as vehicle occupants regardless of seating position. General Notes * All tables are based on information received from police reports. * The Property Damage Accident reporting level is $1,000 or more. * The term "vehicle" always excludes bicycles. * The term "driver" always excludes bicyclists. * Percentages may not total due to rounding. Speed-Related Accidents Page 1 of 3

19 Speed-Related Motor Vehicle Accidents TABLE 2(P) Day of Week/Time of Day: 2007 Time of Day Accidents Mid-6am 6am-Noon Noon-6pm 6pm-Mid Unknown Sunday Monday Tuesday Wednesday Thursday Friday Saturday Note: 2007 data similar to earlier years TABLE 3(P) Driver Gender and Age # % # % # % Drivers Male Speeding Drivers Non-Speeding Drivers Female Speeding Drivers Non-Speeding Drivers Unknown Speeding Drivers Non-Speeding Drivers Speeding Drivers Under Age Ages Ages Ages Ages Ages Age 60 and Over Unknown Age Non-Speeding Drivers Under Age Ages Ages Ages Ages Ages Age 60 and Over Unknown Age Speed-Related Accidents Page 2 of 3

20 Speed-Related Motor Vehicle Accidents TABLE 4(P) Select Accident Contributing Factors # % # % # % Accidents Alcohol Involvement Driver Inattention/Distraction Driver Inexperience Failure to Keep Right Failure to Yield R.O.W Following Too Closely Passing/Lane Violations Traffic Control Disregarded Note: Many accidents have multiple factors reported. TABLE 5(P) Persons Killed or Injured by Age Group: Age Group # % # of Ped/Bike # % # of Ped/Bike Under Age Ages Ages Ages Ages Ages Ages Ages Ages Ages Ages 70 and Over Unknown Age TABLE 6(P) Reported Safety Equipment Use # Killed or Injured % # Killed or Injured % # Killed or Injured % Motor Vehicle Occupants No Restraint Used Restraint Used Unknown Motorcyclists No Helmet Used Helmet Used Unknown Bicyclists No Helmet Used Helmet Used Unknown Speed-Related Accidents Page 3 of 3

21 SECTION 4 Motorcycle Accident Summary Report

22 Motorcycle Accidents TABLE 1 Accident Summary s Category s County % of County % of County % of Motorcycle Accidents 35 4, , , Fatal Accidents Non-Fatal Personal Injury Accidents 35 4, , , Reportable Property Damage Accidents Manner of Collision Single Motorcycle Accidents 28 2, , , Multiple Vehicle Accidents 7 2, , , Special Motorcycle Accident Series Motorcycle/Pedestrian Accidents Motorcycle/Bicycle Accidents Fatalities Persons Killed (1) Drivers Killed Motorcycle Operators Non-Motorcycle Drivers Passengers Killed Motorcycle Passengers Passengers in Other Vehicles Pedestrians Killed Bicyclists Killed Other Non-Fatal Injuries Persons Injured (1) 38 5, , , Drivers Injured 35 4, , , Passengers Injured Pedestrians Injured Bicyclists Injured Other It is important to note that not all of the data for are strictly comparable. Changes in data collection and reporting that began during 2006 with respect to property damage (PDO) accidents have resulted in more PDOs being captured each year on the statewide Accident Information Sysytem (AIS) maintained by the Department of Motor Vehicles, and thus an increase in the total number of accidents each year. Data related to fatal and personal injury accidents and to persons killed or injured are comparable as these data have not been affected by the DMV changes with respect to PDOs. (1) Includes pedestrians, bicyclists and all other non-vehicle involved persons as well as vehicle occupants regardless of seating position. General Notes * Some of the tables are based upon information received from police and motorist reports of motor vehicle accidents. Others are based only on the police reports; these are indicated by a (P). * The Property Damage Accident reporting level is $1,000 or more. * The term "vehicle" always excludes bicycles. * The term "driver" always excludes bicyclists. * Percentages may not total due to rounding. Motorcycle Accidents Page 1 of 3

23 Motorcycle Accidents TABLE 2 Day of Week/Time of Day: 2007 Accidents Mid-6am 6am-Noon Time of Day Noon-6pm 6pm-Mid Unknown Sunday Monday Tuesday Wednesday Thursday Friday Saturday Note: 2007 data similar to earlier years TABLE 3 Motorcycle Operator Gender and Age # % # % # % MC Operators Male Female Unknown Under Age Ages Ages Ages Ages Ages Ages 60 and Over Unknown Age TABLE 4(P) Select Accident Contributing Factors # % # % # % MC Accidents Alcohol Involvement Driver Inattention/Distraction Driver Inexperience Failure to Keep Right Failure to Yield R.O.W Following Too Closely Passing/Lane Violations Traffic Control Disregarded Turning Improperly Unsafe Speed Note: Many accidents have multiple factors reported. Caution is advised due to the small numbers. Motorcycle Accidents Page 2 of 3

24 Motorcycle Accidents TABLE 5 Motorcyclists Killed or Injured by Age Group # % # % # % Age Group Under Age Ages Ages Ages Ages Ages Ages Ages Ages Ages Ages 70 and Over Unknown Age TABLE 6(P) Reported Safety Equipment Use for Motorcyclists Killed or Injured # % # % # % Motorcyclists No Helmet Used Helmet Used Unknown TABLE 7 Motorcycle Registrations / License Endorsements MC Registrations MC Licenses # % of # % of , , , , , , , , , , Motorcycle Accidents Page 3 of 3

25 SECTION 5 Ticket Data

26 ST. LAWRENCE COUNTY Tickets Issued and Conviction Rates for Select Violations TOTAL TICKETS ISSUED 26,478 28,212 30,484 SPEED (V&T 1180) 7,796 8,267 9,495 % of total tickets 29.4% 29.3% 31.1% % convicted on same charge (of adjudicated cases) 36.2% 39.5% 39.9% SAFETY RESTRAINTS (V&T 1229c) 2,771 2,646 2,377 % of total tickets 10.5% 9.4% 7.8% % convicted on same charge (of adjudicated cases) 75.1% 90.4% 88.5% IMPAIRED DRIVING (V&T 1192) 950 1,096 1,158 % of total tickets 3.6% 3.9% 3.8% Persons Arrested for Impaired Driving (N=556) (N=589) (N=635) Case adjudicated 87.1% 90.2% 86.6% Case pending 12.9% 9.8% 13.4% Adjudicated Cases* (N=484) (N=531) (N=550) Convicted on original 1192 charge 34.3% 31.5% 32.2% Convicted on other 1192 charge 60.1% 60.5% 59.4% Convicted on non-1192 charge 0.6% 0.9% 1.3% Dismissed/Acquitted/Convicted on charge associated with different event 5.0% 7.2% 7.1% * Since some drivers are charged with more than one alcohol offense during a single traffic stop, conviction rates are based on drivers who have had at least one offense adjudicated. Source: DMV TSLED ticket system. ST. LAWRENCE COUNTY Probation Data for V&T 1192 and 511 Convictions Number of Persons Sentenced to Probation Number of Persons on Probation Source: Division of Probation and Correctional Alternatives. Enforcement/Adjudication Page 1 of 3

27 Tickets Issued by TSLED Agencies By Agency Type All Tickets Seat Belt Tickets 80% 70% 71% 74% 100% 89% 89% 91% 60% 80% 40% 20% 0% 21% 22% 21% 10% 7% 5% State Police Local Sheriff/County 60% 40% 20% 0% 11% 10% 8% 1% 1% <1% State Police Local Sheriff/County Speed Tickets Persons Ticketed for Impaired Driving 100% 80% 60% 74% 78% 80% 60% 40% 47% 46% 46% 38% 38% 37% 40% 20% 0% 15% 14% 15% 11% 9% 6% State Police Local Sheriff/County 20% 0% 15% 16% State Police Local Sheriff/County 16% Enforcement/Adjudication Page 2 of 3

28 ST. LAWRENCE COUNTY TSLED Tickets Issued for Selected Violations by Enforcement Agency % of % of % of % of % of % of Enforcement Agency # Shf/Local Co. # Shf/Local Co. # Shf/Local Co. St. Lawrence Sheriff alcohol NCIC speed seatbelt Ogdensburg P.D. alcohol NCIC speed seatbelt Village of Massena P.D. alcohol NCIC speed seatbelt Canton Village P.D. alcohol NCIC speed seatbelt Gouverneur P.D. alcohol NCIC speed seatbelt Norwood Village P.D. alcohol NCIC speed seatbelt <0.1 Potsdam P.D. alcohol NCIC speed seatbelt Norfolk Town P.D. alcohol NCIC speed seatbelt Park Police/1000 Island Reg. alcohol NCIC speed seatbelt s by Agency Type Sheriff and Local alcohol speed 1, , , seatbelt State Police alcohol speed 5, , , seatbelt 2, , , Other alcohol incl. SUNY speed seatbelt County s alcohol 950 1,096 1,158 speed 7,796 8,267 9,495 seatbelt 2,771 2,646 2,377 Source: DMV Enforcement / Adjudication Page 3 of 3

29 Institute for Traffic Safety Management and Research 80 Wolf Road, Suite 607 Albany NY Phone: FAX:

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