{"response":{"docs":[{"id":"dlg_ggpd_1391017351-2025-05","title":"Motorcycles (Georgia Governor's Office of Highway Safety), 2023","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":null,"dc_date":["2025-05"],"dcterms_description":["2019 has appendix available as separate document: Motorcycles drivers Georgia traffic safety facts.","2019 (harvested on February 8, 2022 from gahighwaysafety.org); title from PDF caption (Georgia Government Publications database, viewed June 30, 2023).","2019 Appendix (harvested on February 8, 2022 from gahighwaysafety.org); (Georgia Government Publications database, viewed June 30, 2023)."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, GA : Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals.","Motorcycling accidents","Georgia","Georgia Government Documents--Serial"],"dcterms_title":["Motorcycles (Georgia Governor's Office of Highway Safety), 2023"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_1391017351-2025-05"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_1391017351-2025-05"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Georgia Traffic Safety Facts \n2023 Data \n \nMay 2025 \nIn this fact sheet, information is presented as follows. \n Motorcyclist Fatalities and Serious Injuries - Motorcyclist Fatalities - Motorcyclist Serious Injuries - Helmet Use \n Crash Characteristics - Urban vs. Rural - Environmental Characteristics \n Contributing Circumstances - Speeding - Alcohol Involvement \n Motorcycle Licensure \u0026 Vehicle Registration \n Demographics \nThis fact sheet contains information from the Fatality Analysis Reporting System (FARS), Georgia Department of Transportation (GDOT) crash data modified by Crash Outcomes Data Evaluation System (CODES) at the Department of Public Health (DPH), Georgia Department of Driver Services (DDS), Georgia Department of Revenue (DOR), Georgia Emergency Medical Services Information System (GEMSIS), Hospital Discharge Data, Emergency Room Data, and the Georgia Trauma Registry. \nGovernor's Office of Highway Safety \n7 M.L.K. Jr Dr SE Suite #643 Atlanta, GA 30334 (404) 656-6996 www.gahighwaysafety.org \n \nMotorcycles \nAs defined in this fact sheet, motorcyclist is a general term that refers to either the rider (motorcycle operator) or a passenger. A motorcycle includes two- or three-wheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. \n2023 Key Findings \n There were 196 motorcyclist fatalities that resulting from motor vehicle traffic crashes on Georgia roadways. \n Motorcycles consistently represent less than 1% of all registered vehicles and are involved in 1% of all motor vehicle crashes in Georgia. Motorcycle operators accounted for 6% of all licensed drivers but 12% of all driver fatalities. \n More than half (53%) of motorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash. \n Among persons fatally or seriously injured in a multi-vehicle motorcycle crash, 97% were riding on a motorcycle and 3% were occupants of other vehicles or non-motorists. \n Georgia motorcyclists who did not wear a helmet were 3.28 times more likely to suffer a fatal injury compared to those who did wear a helmet. Helmet use (82%) among motorcyclists involved in a Georgia crash resulted in an estimated 106 lives saved. \n Generally, there are higher motorcycle crash rates in the Atlanta Region and counties along the state border. \n The top contributing factor among motorcyclists involved in single-vehicle crashes was loss of control--39% of operators lost control of their motorcycle just before the crash. \n Total charges for motorcycle traffic-related hospitalizations and emergency room visits in Georgia amounted to $321.8 million in 2023. \n Motorcyclists in the 25-to-34 year age group have the highest proportions of police-reported suspected serious injuries, EMS transports, emergency room visits, and hospitalizations compared to motorcyclists in other age groups. \n \nPage 1 \n \n Motorcyclist Fatalities and Serious Injuries \n \nMotorcyclist Fatalities \nIn 2023, there were 1,615 fatalities that resulted from motor vehicle traffic crashes on Georgia roadways. Motorcyclist fatalities represented 12% of all traffic fatalities (196 out of 1,615) (Figure 1). \nBetween 2022 and 2023, motorcycle registrations increased by 1% (from 214,760 to 217,285), while motorcyclist fatalities decreased by 11% (from 221 to 196). As a result, the motorcycle fatality rate decreased by 12%, from 102.9 to 90.2 motorcycle fatalities per 100,000 motorcycle registrations. \nTable 1 shows the total traffic fatalities, Georgia motorcycle registrations, and motorcyclist fatalities from 2014 to 2023. \nMotorcyclist Injuries \nThe following section describes public safety and medical responses to serious injuries experienced by motorcyclists involved in motor vehicle traffic crashes (Table 2). Injured motorcyclists can be counted multiple times for each response (e.g., an injured person may be counted as a hospital and/or trauma center patient). \n \nFigure 1. Rate and Percent of Motorcyclist Fatalities, 2014-2023 \n \nRate per 100,000 Registrations \n \n14% \n \nPercent of All Traffic Fatalities \n \n12% 12% \n10% \n8% \n6% 68.7 \n \n11% 76.1 \n \n11% 86.2 \n \n9% 68.2 \n \n10% 75.6 \n \n11% 83.6 \n \n12% 92.8 \n \n11% 92.1 \n \n12% 102.9 \n \n120.0 \n12% \n100.0 \n90.2 80.0 \n6 0. 0 \n \n4 0. 0 4% \n \n2% \n \n2 0. 0 \n \n0% \n \n0.0 \n \n2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 \n \nSource: FARS 20142023; FY2014-FY2019 DOR Annual Reports; DOR 2019-2023 \n \nTable 1. Rate and Percent of Motorcyclist Traffic Fatalities, 2014-2023 \n \nYear \n \nTotal Traffic Fatalities \n \nGeorgia Registered Motorcycles \n \nMotorcyclist Fatalities \n \nNumber Percent \nof All Traffic Fatalities \n \nRate \nper 100,000 Registrations \n \n2014 \n \n1,164 \n \n199,445 \n \n137 \n \n12% \n \n68.7 \n \n2015 \n \n1,432 \n \n199,796 \n \n152 \n \n11% \n \n76.1 \n \n2016 \n \n1,556 \n \n199,504 \n \n172 \n \n11% \n \n86.2 \n \n2017 \n \n1,540 \n \n203,783 \n \n139 \n \n9% \n \n68.2 \n \n2018 \n \n1,505 \n \n203,639 \n \n154 \n \n10% \n \n75.6 \n \n2019 \n \n1,492 \n \n203,343 \n \n170 \n \n11% \n \n83.6 \n \n2020 \n \n1,568 \n \n206,834 \n \n192 \n \n12% \n \n92.8 \n \n2021 \n \n1,809 \n \n212,788 \n \n196 \n \n11% \n \n92.1 \n \n2022 \n \n1,796 \n \n214,760 \n \n221 \n \n12% \n \n102.9 \n \n2023 \n \n1,615 \n \n217,285 \n \n196 \n \n12% \n \nNote: Motorcycle registrations include commercial and non-commercial motorcycles. \n \nSource: FARS 20142023; FY2014-FY2019 DOR Annual Reports; DOR 2019-2023 \n \n90.2 \n \nTable 2. Description of Traffic Injury Surveillance Data Sources \nTraffic Injury Surveillance Data Sources \nSuspected Serious Crash Injuries are reported by law enforcement responding to a motor vehicle crash scene. \n \nEmergency Medical Services include all ground and air transports to an emergency facility for patients who are injured and require medical care in the state of Georgia. \nTrauma Center patients are identified as those with serious injuries that meet specific criteria. The State of Georgia follows the identification and treatment guidelines established by the American College of Surgeons along with the Centers for Disease Control and Prevention (CDC) Field Triage Criteria. \nEmergency Room and Hospitalizations include Georgia resident discharges from Georgia non-federal acute care hospitals. Emergency room (ER) visits include individuals who were discharged directly from the ER. Hospitalizations include individuals who may have visited the emergency room. \n \nPage 2 \n \n Table 3 shows the number and percent change in motorcycle traffic-related serious injuries for each injury surveillance source. Between 2022 and 2023: \n Motorcyclist serious injuries reported by law enforcement decreased by 4%. \n The number of motorcyclists transported to a hospital facility by the Emergency Medical Services (EMS) decreased by 26%. \n The number of motorcyclists receiving patient care at a trauma center decreased by 23%. \n Motor vehicle traffic-related emergency room-only visits involving motorcyclists increased by 18%, and hospitalizations increased by 8%. \n \nTable 3. Motorcyclists Traffic-Related Injuries by Injury Surveillance Source, 2021-2023 \n \nInjury Surveillance Source \n \n2021 \n \n2022 \n \n2023 \n \n2022-2023 % Change \n \nPolice Crash Reports* \nEmergency Medical Services** \n \n848 3,152 \n \n933 2,862 \n \n892 2,132 \n \n- 4% - 26% \n \nTrauma \n \n1,632 \n \n1,573 \n \n1,217 \n \n- 23% \n \nEmergency Department*** \n \n4,186 \n \n3,382 \n \n4,000 \n \n+ 18% \n \nHospital*** \n \n2,440 \n \n1,157 \n \n1,253 \n \n+ 8% \n \n* Only suspected serious injuries reported by law enforcement on the crash report. ** EMS arrivals to motor vehicle traffic crashes with reported serious injuries and fatalities may or may not have resulted in transport to a medical facility. *** All persons involved in a Georgia crash who received care in a Georgia Emergency Department or Hospital, regardless of their state residency. Source: CODES 2021-2023, DPH Hospital Inpatient Discharge and Emergency Room Visit Data 20212023, GEMSIS 2021-2023, Georgia Trauma Registry 2021-2023 \n \nYoung motorcyclists in the 21-to-24 year age group have the highest proportions and rates (per 100,000 population) of police-reported suspected serious injuries, EMS transports, Trauma Center visits, and Emergency Room only visits compared to motorcyclists in other age groups. Motorcyclists in the 25-to-34 year age group have the highest rate of hospitalizations. \n \nTable 4. Motorcyclist Traffic-Related Serious Injuries, Percent of Total Serious Injuries, and Rate per 100,000 Population by Age Group and by Injury Surveillance Source, 2023 \n \nPolice-Reported \nAge Suspected Serious Group Crash Injuries \n \nEmergency Medical Services \n \nTrauma Center \n \nEmergency Room \n \nHospitalizations \n \nCount Percent Rate Count Percent Rate Count Percent Rate Count Percent Rate Count Percent Rate \n \n\u003c15 \n \n8 \n \n1% \n \n0.4 \n \n15-24 \n \n174 \n \n20% \n \n11.4 \n \n15-20 \n \n67 \n \n8% \n \n7.2 \n \n21-24 \n \n107 \n \n12% \n \n18.2 \n \n25-34 \n \n226 \n \n25% \n \n14.8 \n \n35-44 \n \n163 \n \n18% \n \n11.1 \n \n45-54 \n \n169 \n \n19% \n \n12.0 \n \n55-64 \n \n97 11% \n \n7.2 \n \n65+ \n \n55 \n \n6% \n \n3.2 \n \n39 \n \n2% 1.9 \n \n15 1% 0.7 256 6% 12.41 \n \n5 0% 0.24 \n \n433 20% 28.3 231 19% 15.1 924 23% 60.74 190 15% 12.49 \n \n183 \n \n9% 19.6 \n \n98 \n \n8% 10.5 \n \n449 11% 48.14 \n \n85 \n \n7% 9.11 \n \n250 \n \n12% 42.5 \n \n133 11% 22.6 \n \n475 12% 80.72 \n \n105 \n \n8% 17.84 \n \n534 25% 35.0 294 24% 19.3 961 24% 63.03 298 24% 19.55 \n \n362 17% 24.5 213 18% 14.4 708 18% 48.00 217 17% 14.71 \n \n340 16% 24.2 210 17% 15.0 577 14% 41.10 231 18% 16.45 \n \n281 13% 20.9 156 13% 11.6 386 10% 28.69 187 15% 13.90 \n \n140 \n \n7% 8.3 \n \n97 8% 5.7 188 5% 11.08 125 10% 7.37 \n \nTotal 892* 100% \n \n8.1 2,129 100% 19.3 1,217* 100% 11.0 4,000 100% 36.3 1,253 100% 11.36 \n \n* Includes serious injuries with unknown age Source: CODES 2023, DPH-OHIP Hospital Inpatient Discharge and Emergency Room Visit Only Data 2023, GEMSIS 2023, OASIS 2023 (population) \n \nPage 3 \n \n Suspected Serious Crash Injuries \nAccording to 2023 police crash reports, 4,463 motorcyclists (4,188 operators and 267 passengers) were involved in motor vehicle traffic crashes, with 892 reported suspected serious injuries among motorcyclists. In 2023, motorcyclists with police-reported suspected serious injuries decreased by 4% from 933 in 2022. \nOut of the 4,124 crashes that involved motorcyclists, 64% were multi-vehicle crashes (involving other vehicles that were not a motorcycle vehicle body type), 2% were crashes involving two or more motorcycles, and 34% were single-vehicle crashes (involving only one motorcycle). Sixty-one percent of motorcyclist serious injuries (547 of 892) and 72% of all motorcyclist fatalities (141 out of 196) occurred in multiple-vehicle crashes. \n \nFigure 2 shows the percentage of fatalities or serious injuries among all persons involved in multi-vehicle crashes with at least one motorcyclist in 2023. Among all the serious injuries involving motorcyclists: \n 97% were motorcyclists (represented by blue in Figure 4). - 91% were motorcycle operators - 6% were motorcycle passengers \n 3% were occupants of other vehicles or non-motorists (represented by brown and yellow in Figure 4). - 2% were occupants of vehicles that were not a motorcycle vehicle body type. - 1% were non-motorists (i.e., pedestrians or bicyclists). \n \nFigure 2. Percent of Persons Fatally or Seriously Injured in Multi-Vehicle Crashes Involving Motorcyclists by Person Type, 2023 \n \nMotorcycle occupant Not a motorcycle occupant \n \nMotorcycle Passenger \n6% (39) \n \nOccupants of Other Vehicles \n2% (17) \nNon-Motorists 1% (6) \n \nMotorcycle Operator 91% (649) \n563 Serious Injuries, including 547 motorcyclists 148 Fatal Injuries, including 141 motorcyclists \nSource: CODES 2023, FARS 2023 \n \nIn 2023, 12% (111 out of 892) of all motorcycle vehicles involved in serious injury crashes were multioccupant motorcycles --those with at least two occupants (operators and passengers) riding at the time of the crash. Motorcycle passengers are likely to sustain similar injuries as operators when involved in a traffic crash. Nearly four-fifths of all passengers on motorcycles involved in traffic or serious injury crashes were female--most were in the 25-to-34 age group. Of the 81 passengers involved in fatal and serious injury crashes, 72 were female. \n \nSee the Demographics section on page 14 for operator information. \n \nPage 4 \n \n Emergency Medical Services \nIn 2023, the Emergency Medical Services (EMS) transported 2,132 motorcyclists involved in motor vehicle traffic crashes to hospital facilities--a 26% decrease from 2,862 transports in 2022. Five percent of all motor vehicle traffic-related EMS transports involved motorcyclists. \nIn 2023, 85% (1,821 out of 2,132) of the motorcyclists transported by EMS were male. The EMS transport rate per 100,000 population was 110.0 for male motorcyclists and 16.1 for female motorcyclists. \nTrauma \nAccording to the 2023 Georgia Trauma Registry data, motorcycle-related injuries accounted for 9.8% of all patients treated for traffic-related injuries in Georgia Trauma Centers. In other words, 1,217 motorcyclists were identified among the 12,442 traffic-related trauma injury patients, which includes motor vehicle occupants, motorcyclists, and non-motorists. \nTrauma registry reports that 44% of motorcycle operators (458 out of 1,028) were tested for alcohol. Of the motorcycle operators tested, 19% (88 out of 458) had a BAC greater than 0.08 g/dL, and 9% (40 out of 458) had a BAC between 0.01 and 0.08 g/dL. In 2023, less than one-third of motorcycle operators were tested for drug use. Of those tested, 40% of the motorcycle operators were confirmed positive for drug use. \n \nEmergency Room Visits \u0026 Hospitalizations \nIn 2023, there were 5,253 motor vehicle traffic-related emergency room visits and hospitalizations1 involving motorcyclists--a 16% increase from to 4,539 in 2022. Motorcyclists in the 25-to-34 year age group had the highest rate of both emergency room visits and hospitalizations compared to other age groups  63.03 emergency room visits and 19.55 hospitalizations per 100,000 population. The total charges for motorcycle traffic-related hospitalizations and emergency room visits in Georgia amounted to $321.8 million in 2023. \n \nIn 2023, the total motorcycle traffic-related hospitalization and emergency room charges \nin Georgia was \n$321.8 M \n \nHelmet Use Since 1969, Georgia's universal helmet law2 has never been repealed or changed. Three of the five bordering states (Tennessee, Alabama, and North Carolina) have also not repealed or changed their helmet law. Most other states have certain specifications for helmet use or no helmet law. The stability of Georgia's universal helmet law may contribute to the high helmet usage rate--estimated to be 97.8% across the state in 2021.3 This resulted in over 100 lives saved each year. \n1 Some hospitalizations may include emergency room visit information if the individuals were admitted into the same facility. Emergency room visits only include individuals who were discharged directly from the ER. Hospitalizations and emergency room visits include Georgia residents only, while fatalities can be a person out-of-state. 2 O.C.G.A. 40-6-315 3 Bason, James. J. 2021. \"Statewide Use of Occupants Restraints: An Observational Study of Safety Restraint Use in Georgia, 2021\". Traffic Safety Research and Evaluation Group, College of Public Health, University of Georgia: Athens, Georgia \nPage 5 \n \n Helmet use among motorcyclists involved in Georgia crashes resulted in an estimated 106 lives saved in 20234. If all Georgia motorcyclists involved in crashes had worn helmets, an additional seven lives could have been saved. Although not all crashes are survivable, helmet use is an effective means of preventing fatalities. According to the National Center for Statistics and Analysis, helmets are estimated to be 37% effective in preventing fatalities for motorcycle operators and 41% for motorcycle passengers.5 \"In other words, for every 100 motorcyclists [operators] killed in crashes while not wearing helmets, 37 of them could have been saved had all 100 worn helmets.\" NHTSA estimates that Georgia saved $116 million in economic costs because of helmet use in 2017.6 \n \nHelmet use among motorcyclists involved in Georgia crashes resulted \nin an estimated \n106 lives saved \nin 2023. \nAlthough not all crashes are survivable, helmet use \nis an effective means of preventing fatalities. \n \nIn 2023, nearly 9 out of 10 fatally injured motorcyclists in Georgia (91%) were reported wearing a helmetcompared to 62% nationwide including states without helmet laws. Helmets have been proven effective in protecting motorcyclists by preventing or lessening head and traumatic brain injuries. However, motorcyclists are vulnerable road users and are susceptible to all types of body injuries, including head, spinal cord, arms and legs, and internal injuries. Wearing a helmet significantly reduces the risk of a fatal injury in a crash. In 2023, Georgia motorcyclists who did not wear a helmet were 3.28 times more likely to suffer a fatal injury compared to those who did wear a helmet. \n \nTable 5. Motorcyclists Involved in Crashes, Serious Injuries, and Fatalities by Helmet Use, 2023 \n \nMotorcyclists \nMotorcyclists involved in crashes Motorcyclists with serious injuries Fatally injured motorcyclists \n \nTotal 4,463 \n \nHelmeted \n \n# \n \n% \n \n3,346 75% \n \nUn-helmeted \n \n# \n \n% \n \n731 16% \n \nUnknown # % 386 9% \n \nPercent Based on \n \nKnown Helmet Use \n \nHelmeted \n \nUnhelmeted \n \n82% \n \n18% \n \n892 717 80% 126 14% 49 5% \n \n85% \n \n15% \n \n196 178 91% \n \n17 \n \n9% \n \n1 1% \n \n91% \n \n9% \n \nIn 2023, Georgia motorcyclists who did not wear a helmet were 3.28 times more likely to suffer a fatal injury compared to those who did wear a helmet. \n \nSource: CODES 2023, FARS 2023 \n \nCrash Characteristics \nAccording to the police crash reports, 4,124 motor vehicle traffic crashes involved at least one motorcycle in 2023--a 0.5% increase compared to 4,103 motorcycle crashes that occurred in 2022. During this period, the number of crashes where a motorcyclist was seriously or fatally injured decreased by 5% and 11%, respectively. Table 6 shows the number of motorcyclist traffic crashes, serious injury crashes, and fatal crashes between 2019 and 2023. \n \nTable 6. Motorcycle (MC) Traffic Crashes, Serious Injury Crashes, and Fatal Crashes, 2019-2023 \n \nYear \n \nMC Fatal Crashes \n \nMC Serious \n \nMC \n \nInjury Crashes Crashes \n \n2019 \n \n168 \n \n686 \n \n3,948 \n \n2020 \n \n185 \n \n808 \n \n3,786 \n \n2021 \n \n194 \n \n824 \n \n4,085 \n \n2022 \n \n219 \n \n910 \n \n4,103 \n \n2023 \n \n194 \n \n868 \n \n4,124 \n \nSource: CODES 2019- 2023, FARS 2019-2023 \n \n4 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. 5 National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. 6 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. \nPage 6 \n \n Urban vs. Rural7 \nIn 2023, there were 1,898.0 motorcycle crashes for every 100,000 motorcycle registrations statewide (Table 7). Motorcycle crashes are more frequent in urban areas than in rural areas. \n The Atlanta Region accounted for 39% (1,622 out of 4,124) of all motorcycle crashes and 33% of all motorcycle registrations. \n Other urban counties accounted for 38% (1,564 out of 4,124) of all motorcycle crashes and 38% of all motorcycle registrations. \n \nTable 7. Motorcycle Crashes, Motorcycle Registrations, and Motorcycle Crash Rate by Region Type, 2023 \n \nRegion \n \nMotorcycle Crashes \n \nNumber Percent \n \nAtlanta Region8 \n(11 counties) \n \n1,622 \n \n39% \n \nOther Urban \n(30 counties) \n \n1,564 38% \n \nRegistered Motorcycles \n \nNumber \n \nPercent \n \nMotorcycle Crash Rate \nper 100,000 Registrations \n \n71,312 \n \n33% \n \n2,274.5 \n \n81,850 \n \n38% \n \n1,910.8 \n \nRural Counties \n(118 counties) \n \n938 23% 64,123 \n \n30% \n \n1,462.8 \n \nStatewide \n \n4,124 100% 217,285 100% \n \n1,898.0 \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. Source: CODES 2023, DOR 2023 \n \nTable 8 below shows the percentage of motorcycle crashes by region and roadway classification in 2023. Most motorcycle crashes statewide occurred on minor arterial roadways (29%) and principal arterial roadways (25%). \n The Atlanta Region experienced more motorcycle crashes on minor arterial roadways (34%) compared to any other roadway classifications in the region. \n Other urban counties experienced more motorcycle crashes on principal arterial roadways (29%) and minor arterial roadways (28%). \n Rural counties experienced more motorcycle crashes on collector roads (roads that connect local roads and streets)--31%. \n \nTable 8. Motor Vehicle Traffic Crashes Involving Non-Motorists by Region and Roadway Classification, 2023 \n \nRoadway Classification \n \nAtlanta Region \n \nOther Urban Counties \n \nRural Counties \n \nStatewide \n \nInterstate \n \n10% \n \n5% \n \n4% \n \n7% \n \nPrincipal Arterial \n \n24% \n \n28% \n \n23% \n \n25% \n \nMinor Arterial \n \n34% \n \n29% \n \n19% \n \n29% \n \nCollectors \n \n11% \n \n15% \n \n31% \n \n17% \n \nLocal \n \n19% \n \n21% \n \n21% \n \n20% \n \nOther \n \n2% \n \n2% \n \n2% \n \n2% \n \nAll Roadways \n \n1,622 \n \n1,564 \n \n938 \n \n4,124 \n \n(100%) \n \n(100%) \n \n(100%) \n \n(100%) \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. Totals include MC crashes with unknown roadway \n \nclassification \n \nSource: Numetric 2023 \n \n7 Rural counties are counties that have a residential population less than 50,000 persons. This is different than roadway classifications where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. 8 The Atlanta Region includes the eleven counties that are defined by the Atlanta Regional Commission (ARC): Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Henry, and Rockdale counties. In July 2021, Forsyth County officially joined ARC, becoming the 11th county member. \nPage 7 \n \n Figure 3 shows the motorcycle crash rate for counties with five or more motorcycle crashes in 2023. The statewide rate of motorcycle crashes for every 100,000 motorcycle registrations was 1,898.0. \nThe majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in the Atlanta Region and rural counties along the North Carolina, South Carolina, Tennessee, and Alabama borders. Thirteen percent of all motorcycle operators involved in Georgia traffic crashes had a license from another state  5% were licensed from a bordering state (Alabama, Florida, North Carolina, South Carolina, or Tennessee). \n \nFigure 3. Motorcycle (MC) Crashes per 100,000 MC Registrations for Counties with 5+ MC Crashes, 2023 \nMotorcycle Crashes per 100,000 Motorcycle Registrations \n420  1,000 1,001  1,700 1,701  2,000 2,001 - 3,400 3,401 + \nStatewide crash rate is 1,898.0 motorcycle crashes per 100,000 motorcycle registrations \nNote: displaying counties with more than five (5) motorcycle crashes. Source: CODES 2023, DOR 2023 \n \nMore motorcycle serious injury and fatal crashes occurred within the four counties of the Atlanta Region--Fulton, DeKalb, Cobb, and Gwinnett counties. However, Bibb County had the highest motorcycle serious injury and fatal crash rate per 100,000 motorcycle registrations in 2023. Rural counties had the highest proportion of motor vehicle crashes that involved motorcycles, particularly Towns, Lumpkin, and Union counties. \n \nTable 9. Top Counties with 10+ MC Crashes and the Highest Motorcyclists Serious Injury and Fatal Crashes and Motorcycle Crash Rate, 2023 \n \nRank \n \nMotorcyclist Serious Injury and Fatal Crashes \n \nCount \n \nPercent of County Motorcycle Crashes resulting in \nfatal or serious injuries \n \nRate per 100,000 MC \nRegistration \n \nCounty \n \nNumber County* \n \nPercent County \n \nRate \n \nAll Motorcycle Crashes \n \nPercent of ALL County Motor \nVehicle Crashes \n \nRate per 100,000 MC \nRegistrations \n \nCounty* Percent County \n \nRate \n \n1 Fulton \n \n82 Stephens 67% Bibb \n \n1,540.1 Towns \n \n8% Clarke \n \n4,428.3 \n \n2 Dekalb \n \n64 Murray \n \n64% Towns \n \n1,342.3 Lumpkin 7% Fulton \n \n4,054.1 \n \n3 Cobb \n \n59 Grady \n \n60% Stephens 1,105.0 Union \n \n6% Bibb \n \n3,876.8 \n \n4 Gwinnett \n \n49 McIntosh 60% Crisp \n \n1,071.4 White \n \n5% Chatham 3,443.4 \n \n5 Chatham 42 Jasper \n \n57% \n \n*Counties with less than five (5) motorcycle crashes were excluded. Source: CODES 2023; DOR 2023 ; FARS 2023 \n \nDekalb \n \n975.8 Talbot \n \n5% Dekalb \n \n3,415.2 \n \nSee the \"Additional Information\" to access the Appendix for this document. The Appendix includes the following information by county: Motorcycle Crashes  \nMotorcycle Registrations  Motorcycle Licensed Operators  Suspected Serious Injuries and Fatalities  Suspected and Confirmed Motorcycle Operator Alcohol Involvement. \n \nPage 8 \n \n Environmental Characteristics \n \nTable 10 summarizes the environmental characteristics of where and when motorcycle fatal crashes and traffic crashes occurred in 2023. \n 88% of motorcycle fatal crashes and 42% of motorcycle traffic crashes occurred in non-intersection areas of the roadway. \n 58% of motorcycle fatal crashes and 68% of motorcycle traffic crashes occurred in daylight. \n Most motorcycle traffic crashes occurred in the weekday daytime hours (38%), compared to more fatal crashes occurring on the weekend during the nighttime hours (28%). \n 82% of motorcycle fatal crashes and 81% of motorcycle traffic crashes occurred in clear weather conditions. \n 31% of motorcycle fatal crashes and 29% of motorcycle traffic crashes occurred in the summer months. \n 6% of motorcycle fatal crashes and 6% of motorcycle traffic crashes occurred on wet surface conditions (not shown in Table 10). \n \nTable 10. Motor Vehicle Crashes Involving Motorcyclists by \n \nEnvironmental Characteristics, 2023 \n \nEnvironmental Characteristics \n \nMotorcycle Fatal Crashes \nNumber Percent \n \nMotorcycle Traffic Crashes \nNumber Percent \n \nLocation * Intersection (or related) \nNon-Intersection \n \n23 \n \n12% \n \n1,738 \n \n39% \n \n174 \n \n88% \n \n1,857 \n \n42% \n \nOther \n \n-- \n \n-- \n \n868 \n \n19% \n \nLight Conditions Dark \n \n76 \n \n39% \n \n1,248 \n \n28% \n \nDaylight \n \n115 \n \n58% \n \n3,049 \n \n68% \n \nDawn \n \n1 \n \n\u003c1% \n \n53 \n \n1% \n \nDusk \n \n5 \n \n3% \n \n96 \n \n2% \n \nDay of Week / Time of Day * \n \nWeekday Nighttime Daytime \n \n104 \n \n53% \n \n2,548 \n \n57% \n \n50 \n \n25% \n \n872 \n \n20% \n \n54 \n \n27% \n \n1,676 \n \n38% \n \nWeekend Nighttime Daytime \n \n93 \n \n47% \n \n1915 \n \n43% \n \n55 \n \n28% \n \n925 \n \n21% \n \n38 \n \n19% \n \n990 \n \n22% \n \nWeather Conditions \n \nClear \n \n162 \n \n82% \n \n3,627 \n \n81% \n \nCloudy \n \n30 \n \n15% \n \n681 \n \n15% \n \nRain \n \n4 \n \n2% \n \n139 \n \n3% \n \nOther Season \n \n1 \n \n\u003c1% \n \n16 \n \n0% \n \nWinter (Jan-Feb, Dec) \n \n29 \n \n15% \n \n629 \n \n14% \n \nSpring (Mar-May) \n \n49 \n \n25% \n \n1,205 \n \n27% \n \nSummer (Jun-Aug) \n \n63 \n \n32% \n \n1,311 \n \n29% \n \nFall (Sep-Nov) \n \n56 \n \n28% \n \n1,318 \n \n30% \n \nWeekday  6:00 a.m. Monday to 5:59 p.m. Friday | Weekend  6:00 p.m. Friday to 5:59 a.m. Monday Daytime  6:00 a.m. to 5:59 p.m. Nighttime  6:00 p.m. to 5:59 a.m. \n \n*See data considerations for definitions of intersection and non-intersection locations. Other locations include: on shoulder, off-roadway, entrance/exit ramps, and locations categorized as other on the crash report. Source: CODES 2023, FARS 2023 \n \nIn 2023, more motorcyclist fatal crashes occurred in the months of September and July. Figure 4 shows the percentage of motorcyclist fatal crashes by season, month, and time of day. \n \nFigure 4. Motorcyclist Fatal Crashes by Season, Month, and Time of Day, 2023 \nDaytime (6:00 a.m. 5:59 p.m) 15% Nighttime (6:00 p.m.  5:59 a.m) \n \n55% (105) \n \n45% (92) \n \nAll Seasons \n \n10% \n \n5% \n \n6% \n \n5% \n0% 2% \n \n3% 2% \n \n5% 3% \n \n2% 2% \n \n6% 4% \n \n7% 2% \n \n7% \n \n5% 3% \n \n6% \n \n4% 4% \n \n3% 3% \n \n2% 4% \n \nJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec \n \nWinter \n \nSpring \n \nSummer \n \nFall \n \nWinter \n \nNote: Nighttime and daytime groupings are based on the time of day in hours. The time groupings do not consider the change in lighting conditions associated with the seasons (i.e., extended or longer daylight hours in the summer). Source: FARS 2023 \n \nPage 9 \n \n Contributing Circumstances \nIn 2023, 66% of all motorcycle crashes involved two or more vehicles (multi-vehicle crashes), and 34% were single-vehicle motorcycle crashes. The most harmful event was the overturn of motorcycle (non-collision related) for single-vehicle crashes. \nIn multi-vehicle crashes involving motorcyclists, law enforcement officers reported similar proportions of suspected at-fault determinations between motorcycle operators and drivers of other vehicles. Among these crashes, motorcycle operators were suspected to be at fault in 45% of incidents, while the other driver was suspected at fault in 55% of cases. \nAmong single-vehicle crashes, the leading contributing factor was motorcycle operators losing control-- reported in 39% of incidents before colliding with an object that was not another vehicle. For motorcycle operators involved in multi-vehicle crashes, the top contributing factors were following too closely (25%) and risky/aggressive driving (23%). The top factors for other drivers involved in multi-vehicle crashes with motorcyclists were failure to yield (39%) and risky/aggressive driving (14%). \n \nTable 11. Top Contributing Factors with Crashes Involving Motorcyclists by Number of Vehicles Involved and Person Type, 2023 \n \nRank \n1 \n \nSingle Vehicle Crashes \n \nMotorcyclists \n \nDescription \n \n% of all operators \n \nOperator lost control \n \n39% \n \nTwo-Vehicle Crashes \n \nMotorcyclists \n \nOther Drivers \n \nDescription \n \n% of all operators \n \nDescription \n \nFollowing too close \n \n25% Failed to yield \n \n% of all drivers \n39% \n \n2 Speeding \n \n23% Risky/aggressive driving 23% Risky/aggressive driving 14% \n \n3 Risky/aggressive driving \n \n12% Speeding \n \n11% Following too close \n \n11% \n \n4 Reaction to Object or Animal \nSource: CODES 2023 \n \n10% Failed to Yield \n \n9% Improper Turn \n \n6% \n \nPassenger vehicles9 were more frequently involved in crashes with motorcyclists compared to other vehicle types. The most common manner of collision in multi-vehicle crashes involving motorcycles was angle and rear-end crashes. Table 12 below shows the top \"manner of collision\" for multi-vehicle traffic crashes, injury crashes, and fatal crashes that involve a motorcyclist. \n \nTable 12. Top Manner of Collision for Multi-Vehicle Crashes Involving Motorcyclists by Crash Type, 2023 \n \nRank \n \nFatal Crashes \n \nManner of Collision \n \n% of crashes \n \nSerious Injury Crashes \n \nManner of Collision \n \n% of crashes \n \nTraffic Crashes \n \nManner of Collision \n \n% of crashes \n \n1 Angle \n \n60% Angle \n \n58% Angle \n \n43% \n \n2 Rear end (Front-to-rear) \n \n17% \n \nRear end (Front-to-rear) \n \n17% \n \nRear end (Front-to-rear) \n \n29% \n \n3 Head on (Front-to-front) \n \n16% \n \nHead on (Front-to-front) \n \n9% \n \nSideswipe same direction \n \n13% \n \n4 Not a collision with a motor vehicle \nSource: CODES 2023; FARS 2023 \n \n4% \n \nSideswipe same direction \n \n8% \n \nNot a collision with a motor vehicle \n \n6% \n \n9 Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \n \nPage 10 \n \n SPEEDING MOTORCYCLISTS \n \nDrivers are considered to be speeding if they were charged with a speeding-related offense or if a police officer indicated that racing, driving too fast for conditions, exceeding the posted speed limit, or evading police was a contributing factor in the crash. \n \nTable 13. Number of Motorcycle Operators and Drivers Involved in Crashes by Vehicle Category, Speeding Status, and Crash Type, 2023 \n \nVehicle Type Motorcycles \n \nFatal Crashes \n \n# \n \n% \n \n203 100% \n \nSerious Injury Crashes \n \n# \n \n% \n \n886 100% \n \nAll Traffic Crashes \n \n# \n \n% \n \n4,188 100% \n \nSpeeding \n \n57 28% \n \n137 15% \n \n488 12% \n \nNot-Speeding 146 72% \n \n749 85% 3,700 88% \n \nOther Vehicles 2,058 100% 11,254 100% 691,134 100% \n \nSpeeding \n \n249 12% \n \n768 \n \n7% 15,414 2% \n \nNot-Speeding 1,809 88% 10,486 93% 675,720 98% \n \nTOTAL \n \n2,261 \n \n12,140 \n \n695,322 \n \nNote: The table above counts the number of vehicles (or operators/drivers) involved in crashes. More than one motorcycle can be involved in a crash Source: CODES 2023, FARS 2023 \n \nA greater proportion of motorcycle operators involved in fatal, serious injury, or motor vehicle crashes were speeding compared to other vehicle categories (Figure 5). In 2023: \n 28% of all motorcycle operators involved in fatal crashes were speeding  compared to 13% for passenger car drivers and 3% for large-truck drivers. \n 15% of all motorcycle operators involved in serious injury crashes were speeding. \n 12% of all motorcycle operators involved in motor vehicle traffic crashes were speeding. \n \nFigure 5. Percent of Drivers or Motorcycle Operators Speeding by Vehicle Category and Crash Type, 2023 \n \n30% 28% \n \n25% \n \n20% \n \n15% \n \n13% \n \n10% \n \n5% \n \n3% \n \nMotorcycle Passenger Vehicles Large Trucks \n \n15% 11% \n6% \n \n12% 4% 2% \n \n0% \nFatal Crashes \n \nSerious Injury All Traffic Crashes Crashes \n \nPassenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles. Source: FARS 2023, CODES 2023 \n \nMoreover, compared to other age groups, motorcycle operators 25-to-34 years represented a greater proportion of motorcycle operators involved in speed-related crashes, speed-related serious injury crashes, and speed-related fatal crashes compared to other age groups. \n \nPage 11 \n \n ALCOHOL INVOLVEMENT AMONG MOTORCYCLISTS \nAlcohol involvement is defined as whether alcohol was consumed by the motorcycle operator before the crash; the presence of alcohol may or may not be a contributing factor in the crash. Under Georgia law, it is a rebuttable presumed criminal offense to operate a motor vehicle at or above a 0.08 grams per deciliter (g/dL) blood alcohol concentration (BAC) tested via blood, breath, or urine. However, impairment occurs when the driver's ability to safely operate a motor vehicle is compromised--this can be above or below the Georgia legal limit of .08 g/dL. Georgia law states drivers cannot operate a moving vehicle while under the influence of alcohol to the extent that it is less safe to drive.10 Under this law, drivers can be cited and convicted of impaired driving even with a BAC below 0.08 g/dL. \n \nAcross the 4,188 Georgia motorcycle operators involved in crashes in 2023, 5.4% were either confirmed or suspected of alcohol impairment-- 85 motorcycle operators were confirmed of alcohol impairment, and an additional 141 motorcycle operators were suspected of alcohol impairment. Of those motorcycle operators suspected of alcohol impairment, many did not have a BAC value reported in the police crash report; however, they were administered an alcohol test. In the same year, 1.6% of other drivers that were not motorcyclists were either confirmed or suspected of alcohol impairment-- 6,713 drivers were confirmed of alcohol impairment, and an additional 4,917 drivers were suspected of alcohol impairment. \n \nThe number of motorcycle operators involved in a fatal crash with a positive BAC (0.01+ g/dL) decreased by 51%, from 47 in 2021 to 23 in 2023. These motorcycle operators may or may not have been fatally injured in the crash. Table 14 shows motorcycle operators involved in a fatal crash by BAC from 2019-2023. In 2023:  26% of motorcycle operators had a BAC of 0.00 or no alcohol.  2% of motorcycle operators had a BAC between 0.01 and 0.07.  9% of motorcycle operators had a BAC of 0.08 or above.  63% of motorcycle operators had an unknown or unreported BAC. \n \nTable 14. Motorcycle Operators Involved in a Fatal Crash by BAC, 2019-2023 \n \nYear \n \nMotorcycle Operators \n \nBAC .00 g/dL Number Percent \n \nBAC .01-.07 g/dL BAC .08+ g/dL Number Percent Number Percent \n \nUnknown / Unreported \nNumber Percent \n \n2019 \n \n174 \n \n61 \n \n35% \n \n4 \n \n2% \n \n22 \n \n13% \n \n87 \n \n50% \n \n2020 \n \n196 \n \n48 \n \n24% \n \n11 \n \n6% \n \n25 \n \n13% \n \n112 \n \n57% \n \n2021 \n \n200 \n \n43 \n \n22% \n \n11 \n \n6% \n \n36 \n \n18% \n \n110 \n \n55% \n \n2022 \n \n225 \n \n71 \n \n32% \n \n10 \n \n4% \n \n32 \n \n14% \n \n112 \n \n50% \n \n2023 \n \n203 \n \n52 \n \n26% \n \n5 \n \n2% \n \n18 \n \n9% \n \n128 \n \n63% \n \nNote: Motorcycle operators may or may not have been fatally injured in the crash. BAC .00 g/dL means no alcohol present. BAC .01- .07 g/dL means some alcohol is present, and the driver is below the Georgia legal limit. BAC .08+ g/dL means alcohol is present, and the driver is above the Georgia legal limit. Source: FARS 2019-2023 \n \nFor additional information, see the Appendix for the percentage of motorcycle operators involved in motor vehicle crashes confirmed or suspected of alcohol impairment by county for 2023. \n \n10 O.C.G.A.  40-6-391(a)(1) \n \nPage 12 \n \n Motorcycle Licensure \u0026 Vehicle Registration \nMotorcycle operators with a Class M license or a Class M Instructional Permit (MP) have a valid license to operate a motorcycle or motor-driven cycle in Georgia legally. Across the decade, drivers with a Class M license only, Class MP license only, or a Class M status assigned to another license type consistently represented about 6% of all licensed drivers. Between 2022 and 2023:  Licenses with Class M designations (Class M \nonly or Class M with other license classes) increased by 2%.  Licenses with Class MP designations increased by less than 1%. \nAccording to the Department of Driver Services (DDS), 9,525 individuals completed the Georgia Motorcycle Safety Program in 2022. The program teaches crash-avoidance skills to motorcycle riders of various experience levels. Despite the statewide reach of the Motorcycle Safety Program, 53% of motorcycle operators involved in a traffic crash in 2023 were either unlicensed or did not have a valid designation on their driver's license--a net 1-point decrease compared to 2022. \nMotorcycles consistently represent two percent of all registered vehicles in Georgia. Among the motorcycle body classifications identified by NHTSA vPIC, motorcyclist fatalities were more frequent on sports motorcycles (38%), followed by touring motorcycles (19%), custom motorcycles (12%), and scooter motorcycles (7%). \n \nTable 15. 2022-2023 Percent Change in \n \nMotorcycle Licensure, License Status for \n \nMotorcyclists Involved in Crashes, and \n \nMotorcycle Registration \n \nMeasure \n \n2022-2023 \nPercent Change \n \nAll Georgia Licensed Drivers / Operators \n \nTotal Class M / MP \n \n2% \n \nClass M \n \n2% \n \nClass MP \n \n\u003c1% \n \nOther License Class \n \n2% \n \nMotorcycle Operator Involved in Crashes \n \nTotal Class M / MP \n \n2% \n \nClass M \n \n2% \n \nClass MP \n \n2% \n \nOther license Class not valid to operate a motorcycle \n \n- 6% \n \nNo license present or licensure status unknown \n \n20% \n \nRegistered Motorcycles \n \nAll Engine Sizes \n \n1% \n \nSource: DDS 2022-2023, CODES 2022-2023, DOR 2022-2023 \n \nDespite the statewide reach of the Motorcycle Safety Program, \n53% \nof motorcycle operators involved in a traffic crash in 2023 were either unlicensed or did \nnot have a valid designation on their driver's licenses. \n \nPage 13 \n \n Demographics \nAge \nWhile older persons within the 65+ age group have the highest proportion of properly licensed motorcyclists and motorcycle registrants, motorcyclists in the 25-to-34 age group have the highest involvement in crashes and receive a greater proportion of motorcycle-related convictions. Compared to drivers in other age groups, motorcycle operators in the 25-to-34 year age group represented 10% of all riders with a valid Class M or MP license; however, they also represented: \n 26% of motorcycle operators who sustained fatal and serious injuries;  24% of motorcycle operators involved in a traffic crash;  26% of motorcycle operators with invalid or no license credentials involved in a crash (not shown \nin Table 16); and  29% of motorcycle operators with convictions reported to the Georgia Department of Driver \nServices. \n \nTable 16. Age Distribution of Motorcyclist Fatalities, Motorcycle Crashes, Licensed Motorcyclists with a Class M or MP License, Motorcycle Convictions, and Motorcycle Registrations, 2023 \n \nAge Group \n \nMotorcyclist Fatalities and Serious Injuries \nOperator Passenger \n \nMotorcycle Operator Involved in Crashes \n \nMotorcycle Operator \nConvictions \n \nChildren \n(less than 15) \n \n1% \n \n3% \n \n1% \n \n-- \n \n15-24 \n \n19% \n \n21% \n \n21% \n \n33% \n \n15-20 \n \n7% \n \n9% \n \n10% \n \n18% \n \n21-24 \n \n12% \n \n12% \n \n12% \n \n15% \n \n25-34 \n \n26% \n \n16% \n \n24% \n \n29% \n \n35-44 \n \n19% \n \n19% \n \n17% \n \n18% \n \n45-54 \n \n18% \n \n24% \n \n15% \n \n11% \n \n55-64 \n \n11% \n \n12% \n \n11% \n \n7% \n \n65+ \n \n7% \n \n6% \n \n6% \n \n3% \n \nUnknown \n \n-- \n \n-- \n \n4% \n \n-- \n \nTOTAL \n \n1,020 \n \n68 \n \n4,188 \n \n100% \n \n100% \n \n100% \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. \n \n408 \n100% \n \nSource: FARS 2023, CODES 2023, DDS 2023, DOR 2023 \n \nLicensed Motorcyclists \nClass M / MP \n-- \n2% \n1% 2% \n10% 14% 19% 25% 29% \n-475,114 \n100% \n \nMotorcycle Registrants \n-- \n3% \n\u003c1% 2% \n10% 15% 20% 27% 25% \n-217,285 \n100% \n \nThe proportion of motorcycle operators involved in traffic crashes who are unlicensed or did not have a valid Class M/MP designation on their license decreases as the age group increases. Among motorcycle operators in the 25to-34 age group, only 44% had a valid Class M/MP license, 50% did not have the Class M/MP designation, and 6% were reported as unknown. \n \nFigure 6. Licensing Status of Motorcycle Operators Involved in Traffic Crashes by Age Group, 2023 \n \nValid License (Class M / MP) Improper or Unlicensed Unknown \n \n100% 80% 60% \n \n59% \n \n48% \n \n50% \n \n48% \n \n42% \n \n38% \n \n28% \n \n40% \n20% 34% 42% 0% 6% \nLess 15-24 than 15 \nSource: CODES 2023 \n \n44% 48% 54% \n25-34 35-44 45-54 Age Group \n \n57% 55-64 \n \n68% 65+ \n \nPage 14 \n \n Sex \u0026 Race/Ethnicity \nIn 2023, 89% (3,728 out of 4,188) of the motorcycle operators involved in crashes were male, 6% (267 out of 4,118) were female, and 5% were unknown or unreported (193 out of 4,118). More than threequarters (77%, 206 out of 267) of the motorcycle passengers involved in crashes were female. \nWhite, Non-Hispanic motorcyclists represent the largest proportion of motorcycle operator fatalities (63%), hospital visits (64%), and emergency room visits (65%) compared to other racial/ethnic groups. \n The highest motorcyclist fatality rate per 100,000 population was among White males, 71.5. The motorcycle operator fatality rate per population was 2.1 for White, non-Hispanic and 1.9 for Black, non-Hispanic. \n The total hospital and emergency room rates per 100,000 population among White and Black were 52.3 and 39.3, respectively. \n \nAllTerrain Vehicles \nAllTerrain Vehicle (ATV) traffic-related crashes are defined as off-road recreational vehicles involved in a crash on public roadways. Between 2019 and 2023, ATV riders (operators and passengers) represented 0.4% of all traffic fatalities--yearly fatality counts ranged from a low of 7 in 2023 to a high of 25 in 2020. \nDuring the 5-year period (2019-2023), among the ATV rider fatalities (in no particular order and not mutually exclusive): \n 19% were in the 15-to-24 age group,  27% were in the 25-to-44 age group  71% were male,  76% were un-helmeted,  57% were involved in single-vehicle crashes, and  70% were in rural counties. \n \nTable 17. ATV-Related Fatalities, Serious Injuries, and Involvement in Motor Vehicle Traffic Crashes, 2019-2023 \n \nYear \n \nFatalities \n \nNumber \n \nPercent of All Fatalities \n \nSerious Injuries \n \nNumber \n \nPercent of All Serious Injuries \n \nATV Riders in Traffic Crashes \n \nNumber \n \nPercent of All Persons \n \n2019 \n \n17 \n \n1.1% \n \n68 \n \n0.9% \n \n998 \n \n0.1% \n \n2020 \n \n25 \n \n1.5% \n \n114 \n \n1.5% \n \n803 \n \n0.2% \n \n2021 \n \n11 \n \n0.6% \n \n101 \n \n1.1% \n \n1,106 \n \n0.2% \n \n2022 \n \n12 \n \n0.7% \n \n123 \n \n1.4% \n \n1,544 \n \n0.3% \n \n2023 \n \n7 \n \n0.4% \n \n113 \n \n1.4% \n \n1,014 \n \n0.1% \n \nSource: FARS 20192023; CODES 2019-2023 \n \nPage 15 \n \n Data Definitions and Considerations: This fact sheet defines motorcyclists as either the rider (motorcycle operator) or passenger. A motorcycle includes two- or threewheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. A \"large truck\" is any medium or heavy truck, excluding buses and motor homes, and can include commercial and non-commercial vehicles. Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). Motorcycle registration data for 2020 was obtained from the Department of Revenue (DOR) by special request on the calendar year in lieu of the state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. A traffic crash is defined as an incident that involved one or more motor vehicles where at least one vehicle was in transport, and the crash originated on a public trafficway, such as a road or highway. Crashes that occurred on private property, including parking lots and driveways, are excluded. Fatal crashes are defined as crashes that involve a motor vehicle traveling on a trafficway customarily open to the public and that resulted in the death of a motorist or a non-motorist within 30 days of the crash. Suspected Serious Injuries are reported by law enforcement responding to a motor vehicle crash scene. Suspected serious injury is used when a severe injury prevents continuation of normal activities that may include:  Severe laceration resulting in exposure of underlying tissues/muscle/organs or resulting in significant loss of blood  Broken or distorted extremity (arm or leg)  Crush injuries  Suspected skull, chest, or abdominal injury other than bruises or minor lacerations  Significant burns (second and third degree burns over 10% or more of the body) Unconsciousness when taken from the crash scene  Paralysis The National Center for Health Statistics (NCHS), the Federal agency responsible for the use of the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) in the United States, has developed a clinical modification (CM) of the classification for morbidity (EMS, trauma, hospital, and ER data) purposes. ICD-10 Codes used were V20-V28 (.3 - .9), V29 (.4 - .9). For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of missing blood alcohol test results in the FARS data system. A multiple imputation methodology is employed to generate specific values of BAC for persons involved in fatal crashes. Many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. Contributing circumstances capture the precrash elements or improper actions of persons (motorcycle operators, pedestrians, bicyclists, and other motorists) that may have caused the crash. Contributing factors in fatal and nonfatal crashes are often underreported in the datasets. There is at least one record per person involved in a fatal crash (FARS Data) and some missing records for persons involved in motor vehicle traffic crashes (Crash Data). Rural counties are counties that have a population of less than 50,000 according to the United States decennial census of 2010 or any future such census (OCGA Section 31-6-2). This is different than roadway classifications, where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \"At Intersection\" is used when a person is on a roadway either (1) in the intersection, (2) in the area between a crosswalk and the perimeter of the intersection, or (3) in a crosswalk (marked or unmarked) adjacent to an intersection. \"Not at Intersection\" is when the person is more than 50 feet out from the perimeter of an intersection and the crash is not identified as related to the movement of vehicles through an intersection. \nPage 16 \n \n Additional Information: Other general information on motorcycle safety and traffic safety facts may be accessed at: \n Appendix: Motorcycles Georgia Traffic Safety Facts  https://www.gahighwaysafety.org/highway-safety/shsp/ \nOther traffic safety facts are available online at the Georgia Governor's Office of Highway Safety and Crash Outcomes Data Evaluation Systems (CODES): Risky Driving, Traffic Safety During the COVID-19 Public Health Emergency, Distracted Drivers, Occupant Protection, Non-Motorist (Pedestrians and Bicyclists), Motorcycle Safety, Young Adult Drivers, and Older Drivers. \n \nThe suggested APA format citation for this document is: \nGeorgia Crash Outcomes Data Evaluation System. (2025, May). Motorcycles: 2023 data. (Georgia Traffic Safety Facts). Atlanta, GA: Governor's Office of Highway Safety. \n \nReferences: \nNational Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results Traffic Safety Fact Research Note. (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812936 \nNational Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811433 \nNational Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812867 \n \nPage 17 \n \n Appendix \nMotorcycles Drivers Georgia Traffic Safety Facts (2023) \nThis document is the Appendix for the 2023 Motorcycles Georgia Traffic Safety Facts. Visit https://www.gahighwaysafety.org/highway-safety/shsp/ to access the full report. \n \nData Considerations: \n Alcohol-Related Crashes: For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of \nmissing blood alcohol test results in FARS data system. For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \n Motorcycle Registration: Motorcycle registration data for 2023 was obtained from the Department of Revenue (DOR) by special request \non the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \n Suspected Serious Injuries: Suspected Serious Injuries are reported by law enforcement responding to a motor vehicle crash scene. \nSuspected serious injury is used when a severe injury prevents continuation of normal activities that may include:  Severe laceration resulting in exposure of underlying tissues/muscle/organs or resulting in significant loss of blood  Broken or distorted extremity (arm or leg)  Crush injuries  Suspected skull, chest, or abdominal injury other than bruises or minor lacerations  Significant burns (second and third degree burns over 10% or more of the body) Unconsciousness when taken from the crash scene  Paralysis \n \nMotorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2023 \n \nCounty Name \nSTATEWIDE Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,124 \n\u003c5 \u003c5 \u003c5 \n8 7 12 61 6 5 73 \u003c5 5 6 21 31 6 22 \n \n% AlcoholRelated 6% \n13% 8% 8% 17% 7% 33% 14% 6% 5% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,455 \n \n892 (20%) \n \n\u003c5 \n \n0% \n \n\u003c5 \n \n50% \n \n\u003c5 \n \n75% \n \n- \n \n- \n \n9 \n \n33% \n \n8 \n \n13% \n \n12 \n \n50% \n \n67 \n \n16% \n \n6 \n \n33% \n \n6 \n \n17% \n \n81 \n \n35% \n \n\u003c5 \n \n50% \n \n6 \n \n17% \n \n6 \n \n17% \n \n24 \n \n29% \n \n32 \n \n16% \n \n7 \n \n14% \n \n25 \n \n36% \n \nClass M / MP Licensed Drivers 475,114 \n721 224 445 107 1,597 1,631 5,205 8,100 624 983 4,476 699 1,012 654 3,238 3,210 1,008 1,930 \n \nMotorcycle Registrations \n217,285 448 116 205 41 773 835 \n2,858 3,707 \n270 560 1,883 338 488 330 1,508 1,565 570 1,006 \n \nPage 18 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2023 (con't) \n \nCounty Name \nSTATEWIDE Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur Dekalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth Franklin Fulton \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,124 \u003c5 27 \u003c5 52 32 \u003c5 171 \u003c5 6 85 55 \u003c5 84 \u003c5 252 7 14 60 5 58 \u003c5 8 5 29 10 224 \u003c5 \u003c5 22 78 \u003c5 26 8 \u003c5 \u003c5 29 24 68 74 17 423 \n \n% AlcoholRelated 6% 22% 8% 13% 50% 8% 33% 13% 5% 4% 5% 7% 2% 5% 3% 30% 2% 50% 5% 4% 8% 17% 4% 16% 4% 18% 3% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,455 \n \n892 (20%) \n \n\u003c5 \n \n0% \n \n30 \n \n33% \n \n\u003c5 \n \n0% \n \n59 \n \n36% \n \n33 \n \n9% \n \n5 \n \n40% \n \n178 \n \n23% \n \n\u003c5 \n \n0% \n \n7 \n \n29% \n \n89 \n \n27% \n \n58 \n \n22% \n \n\u003c5 \n \n0% \n \n89 \n \n22% \n \n\u003c5 \n \n100% \n \n266 \n \n23% \n \n7 \n \n14% \n \n15 \n \n20% \n \n62 \n \n16% \n \n5 \n \n20% \n \n59 \n \n24% \n \n\u003c5 \n \n50% \n \n10 \n \n30% \n \n5 \n \n20% \n \n33 \n \n21% \n \n10 \n \n30% \n \n233 \n \n28% \n \n5 \n \n60% \n \n\u003c5 \n \n0% \n \n22 \n \n32% \n \n85 \n \n26% \n \n5 \n \n40% \n \n- \n \n- \n \n29 \n \n28% \n \n8 \n \n13% \n \n5 \n \n40% \n \n\u003c5 \n \n0% \n \n35 \n \n14% \n \n25 \n \n8% \n \n74 \n \n31% \n \n75 \n \n24% \n \n17 \n \n24% \n \n443 \n \n18% \n \nClass M / MP Licensed Drivers \n475,114 147 \n4,190 507 \n7,674 3,995 \n467 11,252 \n478 1,554 16,929 3,016 \n129 6,568 \n195 28,971 \n1,341 1,631 8,517 \n785 10,274 \n947 824 1,103 2,659 958 17,078 811 405 2,344 6,705 407 152 5,253 1,221 872 438 2,695 7,246 5,730 12,248 1,741 26,757 \n \nMotorcycle Registrations \n217,285 82 \n1,886 286 \n3,626 1,834 \n208 4,966 \n200 707 7,954 1,242 \n48 3,039 \n96 12,103 \n675 732 3,519 331 4,521 470 280 467 1,418 416 6,559 330 207 964 3,079 181 \n71 2,691 \n550 502 263 1,700 2,959 2,474 5,628 763 10,434 \n \nPage 19 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2023 (con't) \n \nCounty Name \nSTATEWIDE Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie McIntosh Meriwether Miller Mitchell Monroe Montgomery \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,124 15 37 40 5 7 261 20 95 11 9 20 6 80 34 \u003c5 51 7 \u003c5 \u003c5 \u003c5 \u003c5 7 9 \u003c5 12 6 39 \u003c5 6 51 46 \u003c5 20 \u003c5 7 5 7 \u003c5 20 \u003c5 \n \n% AlcoholRelated 6% 20% 3% 10% 14% 3% 6% 25% 1% 9% 50% 4% 43% 11% 25% 8% 4% 2% 33% 15% 33% 20% 25% 25% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,455 \n \n892 (20%) \n \n20 \n \n25% \n \n- \n \n- \n \n41 \n \n7% \n \n48 \n \n40% \n \n5 \n \n60% \n \n8 \n \n25% \n \n278 \n \n17% \n \n24 \n \n38% \n \n104 \n \n28% \n \n- \n \n- \n \n12 \n \n17% \n \n10 \n \n50% \n \n25 \n \n12% \n \n6 \n \n50% \n \n86 \n \n21% \n \n38 \n \n45% \n \n\u003c5 \n \n0% \n \n57 \n \n16% \n \n8 \n \n50% \n \n\u003c5 \n \n100% \n \n\u003c5 \n \n0% \n \n\u003c5 \n \n0% \n \n\u003c5 \n \n0% \n \n7 \n \n14% \n \n10 \n \n30% \n \n\u003c5 \n \n0% \n \n12 \n \n33% \n \n6 \n \n17% \n \n41 \n \n27% \n \n\u003c5 \n \n50% \n \n7 \n \n29% \n \n54 \n \n22% \n \n50 \n \n28% \n \n\u003c5 \n \n33% \n \n20 \n \n35% \n \n\u003c5 \n \n67% \n \n7 \n \n14% \n \n5 \n \n60% \n \n10 \n \n10% \n \n- \n \n- \n \n\u003c5 \n \n0% \n \n23 \n \n35% \n \n5 \n \n40% \n \nClass M / MP Licensed Drivers \n475,114 3,153 131 4,580 4,013 1,014 969 \n27,585 3,277 \n11,407 317 \n2,395 3,067 1,743 \n977 11,929 \n9,108 431 \n5,435 1,240 \n508 541 252 296 1,757 1,569 487 2,108 1,916 3,612 517 1,229 5,295 2,873 403 1,991 474 1,030 841 1,597 211 658 2,184 353 \n \nMotorcycle Registrations \n217,285 1,695 81 1,736 1,928 537 402 \n12,689 1,530 5,467 179 1,185 1,277 920 476 5,175 3,678 248 2,847 714 242 282 118 168 809 718 233 1,006 888 1,852 233 659 2,415 1,717 202 893 176 632 429 823 112 315 1,038 179 \n \nPage 20 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2023 (con't) \n \nCounty Name \nSTATEWIDE Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs Towns Treutlen Troup Turner Twiggs Union Upson Walker \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,124 6 11 75 47 11 \u003c5 57 17 25 \u003c5 10 30 \u003c5 9 16 \u003c5 90 37 \u003c5 \u003c5 \u003c5 36 15 \u003c5 9 5 \u003c5 \u003c5 \u003c5 \u003c5 20 15 9 24 32 \u003c5 42 21 32 \n \n% AlcoholRelated 6% 17% 18% 4% 9% 33% 2% 18% 4% 10% 3% 4% 50% 50% 8% 20% 33% 10% 7% 8% 6% 50% 2% 10% 16% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,455 \n \n892 (20%) \n \n6 \n \n33% \n \n13 \n \n62% \n \n83 \n \n23% \n \n48 \n \n42% \n \n13 \n \n8% \n \n\u003c5 \n \n25% \n \n63 \n \n29% \n \n17 \n \n29% \n \n28 \n \n29% \n \n\u003c5 \n \n0% \n \n11 \n \n9% \n \n33 \n \n42% \n \n\u003c5 \n \n0% \n \n10 \n \n20% \n \n- \n \n- \n \n19 \n \n32% \n \n\u003c5 \n \n0% \n \n96 \n \n21% \n \n39 \n \n23% \n \n\u003c5 \n \n50% \n \n\u003c5 \n \n75% \n \n\u003c5 \n \n0% \n \n38 \n \n24% \n \n18 \n \n56% \n \n\u003c5 \n \n0% \n \n11 \n \n9% \n \n6 \n \n17% \n \n\u003c5 \n \n100% \n \n\u003c5 \n \n33% \n \n\u003c5 \n \n100% \n \n\u003c5 \n \n0% \n \n- \n \n- \n \n23 \n \n9% \n \n17 \n \n41% \n \n10 \n \n10% \n \n31 \n \n35% \n \n- \n \n- \n \n39 \n \n26% \n \n\u003c5 \n \n100% \n \n- \n \n- \n \n48 \n \n21% \n \n22 \n \n32% \n \n35 \n \n31% \n \nClass M / MP Licensed Drivers \n475,114 1,383 2,558 7,640 5,864 2,001 1,025 \n10,507 1,477 3,183 1,020 1,898 2,861 433 1,407 200 1,429 215 5,521 3,924 281 633 439 4,012 2,164 129 1,000 396 91 880 422 369 360 1,794 1,643 1,079 1,400 259 3,786 360 500 3,325 1,919 4,348 \n \nMotorcycle Registrations \n217,285 761 \n1,399 2,709 2,868 \n807 461 4,727 672 1,899 473 961 1,477 202 622 \n57 842 \n75 2,842 1,694 \n130 356 180 1,733 905 \n84 394 159 \n45 410 208 159 166 821 721 545 745 156 1,512 146 228 1,917 807 2,249 \n \nPage 21 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2023 (con't) \n \nCounty Name \nSTATEWIDE Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,124 48 15 \u003c5 \u003c5 9 38 52 \u003c5 \u003c5 6 \n \n% AlcoholRelated 6% 10% 7% 25% 11% 10% 50% 25% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,455 \n \n892 (20%) \n \n53 \n \n15% \n \n17 \n \n24% \n \n\u003c5 \n \n67% \n \n\u003c5 \n \n25% \n \n10 \n \n20% \n \n- \n \n- \n \n- \n \n- \n \n46 \n \n17% \n \n59 \n \n25% \n \n- \n \n- \n \n\u003c5 \n \n0% \n \n\u003c5 \n \n25% \n \n6 \n \n0% \n \nClass M / MP Licensed Drivers \n475,114 6,363 1,582 209 710 1,502 108 172 2,540 4,882 311 533 464 1,052 \n \nMotorcycle Registrations \n217,285 3,057 664 103 334 750 46 62 1,440 2,494 119 232 242 553 \n \nPage 22 \n \n "},{"id":"dlg_ggpd_1391017351-2024-05","title":"Motorcycles (Georgia Governor's Office of Highway Safety), 2022","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":null,"dc_date":["2024-05"],"dcterms_description":["2019 has appendix available as separate document: Motorcycles drivers Georgia traffic safety facts.","2019 (harvested on February 8, 2022 from gahighwaysafety.org); title from PDF caption (Georgia Government Publications database, viewed June 30, 2023).","2019 Appendix (harvested on February 8, 2022 from gahighwaysafety.org); (Georgia Government Publications database, viewed June 30, 2023)."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, GA : Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals.","Motorcycling accidents","Georgia","Georgia Government Documents--Serial"],"dcterms_title":["Motorcycles (Georgia Governor's Office of Highway Safety), 2022"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_1391017351-2024-05"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_1391017351-2024-05"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Georgia Traffic Safety Facts \n2022 Data \n \nMay 2024 \nIn this fact sheet, information is presented as follows. \n Motorcyclist Fatalities and Serious Injuries - Motorcyclist Fatalities - Motorcyclist Serious Injuries - Helmet Use \n Crash Characteristics - Urban vs. Rural - Environmental Characteristics \n Contributing Circumstances - Speeding - Alcohol Involvement \n Motorcycle Licensure \u0026 Vehicle Registration \n Demographics \nThis fact sheet contains information from the Fatality Analysis Reporting System (FARS), Georgia Department of Transportation (GDOT) crash data modified by Crash Outcomes Data Evaluation System (CODES) at the Department of Public Health (DPH), Georgia Department of Driver Services (DDS), Georgia Department of Revenue (DOR), Georgia Emergency Medical Services Information System (GEMSIS), Hospital Discharge Data, Emergency Room Data, and the Georgia Trauma Registry. \nGovernor's Office of Highway Safety \n7 M.L.K. Jr Dr SE Suite #643 Atlanta, GA 30334 (404) 656-6996 www.gahighwaysafety.org \n \nMotorcycles \nAs defined in this fact sheet, a motorcyclist is a general term to refer to either the rider (motorcycle operator) or passenger. A motorcycle includes two- or three-wheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. \n2022 Key Findings \n There were 221 motorcyclist fatalities that occurred in motor vehicle traffic crashes on Georgia roadways  the largest number of motorcyclist fatalities recorded for the state. \n Motorcycles consistently represent 0.7% of all registered vehicles and are involved in 1% of all motor vehicle crashes in Georgia. Motorcycle operators also represent 6% of all licensed drivers, but 18% of all driver fatalities. \n More than half (54%) of motorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash. \n Among persons fatally or seriously injured in a multi-vehicle motorcycle crash, 96% were riding on a motorcycle, and 4% were occupants of other vehicles or non-motorists. \n Helmet use (88%) among motorcyclists involved in a Georgia crash resulted in an estimated 117 lives saved. \n The majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in the Atlanta Region and rural counties along the North Carolina, South Carolina, and Alabama borders. \n Motorcycle operators losing control is the top contributing factor among motorcyclists involved in single-vehicle crashes--49% of operators lost control of their motorcycle moments before the crash. \n The total motorcycle traffic-related hospitalization and emergency room charges in Georgia was $269.9 million. \n Motorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of police-reported suspected serious injuries, EMS transports, emergency room visits, and hospitalizations compared to motorcyclists in other age groups. \n \nPage 1 \n \n Motorcyclist Fatalities and Serious Injuries \n \nMotorcyclist Fatalities \nIn 2022, there were 1,797 fatalities that occurred in motor vehicle traffic crashes on Georgia roadways. The 221 motorcyclist fatalities that occurred in 2022 represented 12% of all traffic fatalities (Figure 1) and is the highest number of motorcyclist fatalities experienced in the past decade. \nBetween 2021 and 2022, motorcycle registrations increased by 3% (from 212,788 to 214,760), and motorcyclist fatalities increased by 13% (from 196 to 221). As a result, the rate of motorcycle fatalities increased by 12%, from 92.1 to 102.9 motorcycle fatalities per 100,000 motorcycle registrations. \nTable 1 presents the total traffic fatalities, Georgia motorcycle registrations, and motorcyclist fatalities from 2013 to 2022. \nMotorcyclist Injuries \nThe following section describes public safety and medical responses to serious injuries experienced by motorcyclists involved in motor vehicle traffic crashes (Table 2). Injured motorcyclists can be counted multiple times for each response (e.g., an injured person may be counted as a hospital and/or trauma center patient). \n \nFigure 1. Rate and Percent of Motorcyclist Fatalities, 2013-2022 \n \nRate per 100,000 Registrations \n \n14% \n \nPercent of All Traffic Fatalities \n \n12% \n10% 10% \n8% \n6% \n58.2 \n4% \n \n12% 68.7 \n \n11% 76.1 \n \n11% 86.2 \n \n9% 68.2 \n \n10% 75.6 \n \n11% 83.6 \n \n12% 92.8 \n \n11% 92.1 \n \n120.0 \n12% \n100.0 \n102.9 \n8 0. 0 \n \n6 0. 0 \n \n4 0. 0 \n \n2% \n \n2 0. 0 \n \n0% \n2013 2014 2015 2016 2017 2018 2019 2020 Source: FARS 20132022; FY2014-FY2019 DOR Annual Reports; DOR 2019-2022 \n \n2021 \n \n0.0 \n2022 \n \nTable 1. Rate and Percent of Motorcyclist Traffic Fatalities, 2013-2022 \n \nYear \n \nTotal \nTraffic Fatalities \n \nGeorgia \nRegistered Motorcycles \n \nMotorcyclist Fatalities \n \nNumber Percent \nof All Traffic Fatalities \n \nRate \nper 100,000 Registrations \n \n2013 \n \n1,180 \n \n199,287 \n \n116 \n \n10% \n \n58.2 \n \n2014 \n \n1,164 \n \n199,445 \n \n137 \n \n12% \n \n68.7 \n \n2015 \n \n1,432 \n \n199,796 \n \n152 \n \n11% \n \n76.1 \n \n2016 \n \n1,556 \n \n199,504 \n \n172 \n \n11% \n \n86.2 \n \n2017 \n \n1,540 \n \n203,783 \n \n139 \n \n9% \n \n68.2 \n \n2018 \n \n1,504 \n \n203,639 \n \n154 \n \n10% \n \n75.6 \n \n2019 \n \n1,491 \n \n203,343 \n \n170 \n \n11% \n \n83.6 \n \n2020 \n \n1,664 \n \n206,834 \n \n192 \n \n12% \n \n92.8 \n \n2021 \n \n1,809 \n \n212,788 \n \n196 \n \n11% \n \n92.1 \n \n2022 \n \n1,797 \n \n214,760 \n \n221 \n \n12% \n \nNote: Motorcycle registrations include commercial and non-commercial motorcycles. Source: FARS 20132022; FY2014-FY2019 DOR Annual Reports; DOR 2019-2022 \n \n102.9 \n \nTable 2. Description of Traffic Injury Surveillance Data Sources \nTraffic Injury Surveillance Data Sources \nSuspected Serious Crash Injuries are reported by law enforcement responding to a motor vehicle crash scene. \n \nEmergency Medical Services include all ground and air transports to an emergency facility for patients who are injured and require medical care in the state of Georgia. \nTrauma Center patients are identified as those with serious injuries that meet specific criteria. The State of Georgia follows the identification and treatment guidelines established by the American College of Surgeons along with the Centers for Disease Control and Prevention (CDC) Field Triage Criteria. \nEmergency Room and Hospitalizations include Georgia resident discharges from Georgia non-federal acute care hospitals. Emergency room (ER) visits include individuals who were discharged directly from the ER. Hospitalizations include individuals who may have visited the emergency room. \n \nPage 2 \n \n Table 3 shows the number and percent change of motorcycle traffic-related serious injuries for each injury surveillance source. Between 2021 and 2022: \n Motorcyclist serious injuries reported by law enforcement increased by 10%. \n The number of motorcyclists transported to a hospital facility by the Emergency Medical Services (EMS) decreased by 9%. \n The number of motorcyclists receiving patient care at a trauma center decreased by 4%. \n Motor vehicle traffic-related emergency room-only visits involving motorcyclists decreased by 19%, and hospitalizations decreased by 53%. \n \nTable 3. Motorcyclists Traffic-Related Serious Injuries by Injury Surveillance Source, 2021-2022 \n \nInjury Surveillance Source \n \n2021 \n \n2022 \n \n2021-2022% Change \n \nPolice Crash Reports \n \n848 \n \n933 \n \n+ 10% \n \nEmergency Medical Services* \n \n3,152 \n \n2,862 \n \n- 9% \n \nTrauma \n \n1,632 \n \n1,573 \n \n- 4% \n \nEmergency Department** \n \n4,186 \n \n3,382 \n \n- 19% \n \nHospital \n \n2,440 \n \n1,157 \n \n- 53% \n \n* EMS arrivals to motor vehicle traffic crashes with reported serious injuries and fatalities may or may not have resulted in transport to a medical facility. ** All persons involved in a Georgia crash receive care in a Georgia Emergency Department or Hospital, regardless of their state residency. Source: CODES 2021-2022, DPH Hospital Inpatient Discharge and Emergency Room Visit Data 20212022, GEMSIS 2021-2022, Georgia Trauma Registry 2021-2022 \n \nMotorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of policereported suspected serious injuries, Trauma visits, Emergency Room only visits, and hospitalizations compared to motorcyclists in other age groups. Young motorcyclists ages 21-to-24 years have the highest rate of EMS transports. \n \nTable 4. Motorcyclists Traffic-Related Serious Injuries, Percent of Total Serious Injuries, and Rate per 100,000 Population by Age Group and by Injury Surveillance Source, 2022 \n \nAge Group \n\u003c15 15-24 \n15-20 \n \nPolice-Reported Suspected Serious \nCrash Injuries \n \nCount Percent Rate \n \n8 \n \n1% \n \n0.4 \n \n146 16% \n \n9.6 \n \n66 \n \n7% \n \n7.2 \n \nEmergency Medical Services \n \nCount 75 531 \n241 \n \nPercent 3% 19% \n8% \n \nRate 3.66 34.75 \n26.24 \n \nTrauma Center \n \nEmergency Room \n \nCount Percent Rate \n \n14 1% 0.7 \n \n238 15% 15.6 \n \n105 \n \n7% 11.4 \n \nCount Percent 142 4% 664 20% \n354 10% \n \nRate 6.93 43.45 \n38.55 \n \n21-24 \n \n80 \n \n9% \n \n13.1 \n \n290 \n \n10% 47.55 \n \n133 \n \n8% 21.8 \n \n310 \n \n9% 50.83 \n \n25-34 242 26% \n \n16.0 \n \n689 \n \n24% 45.59 410 26% 27.1 865 26% 57.24 \n \n35-44 200 21% \n \n13.8 \n \n535 \n \n19% 37.02 289 18% 20.0 654 19% 45.25 \n \n45-54 152 16% \n \n10.9 \n \n431 \n \n15% 30.84 268 17% 19.2 500 15% 35.78 \n \n55-64 117 13% \n \n8.7 \n \n364 13% 27.22 242 15% 18.1 388 11% 29.01 \n \n65+ \n \n61 \n \n7% \n \n3.7 \n \n156 \n \n5% 9.48 112 7% 6.8 169 5% 10.27 \n \nTotal 933* 100% 8.5 2,862* 100% 26.2 1,573 100% 14.4 3,382 \n* Includes serious injuries with unknown age Source: CODES 2022, DPH-OHIP Hospital Inpatient Discharge and Emergency Room Visit Only Data 2022, GEMSIS 2022 \n \n100% \n \n30.99 \n \nHospitalizations \n \nCount Percent \n \n1 \n \n0% \n \n146 13% \n \n49 \n \n4% \n \n97 \n \n8% \n \n280 24% \n \n228 20% \n \n214 18% \n \n204 18% \n \n84 7% \n \n1,157 100% \n \nRate 0.05 9.55 \n5.34 15.91 \n18.53 15.78 15.31 15.25 5.11 \n10.60 \n \nPage 3 \n \n Suspected Serious Crash Injuries \nAccording to 2022 police crash reports, 4,438 motorcyclists (4,201 operators and 237 passengers) were involved in motor vehicle traffic crashes, and there were 933 suspected serious injuries among motorcyclists. In 2022, motorcyclists with police-reported suspected serious injuries increased by 10% from 848 in 2021. \nOut of the 4,103 crashes that involved motorcyclists, 64% were multi-vehicle crashes (involving other vehicles that were not a motorcycle vehicle body type), 34% were single vehicles (involving only one motorcycle), and 2% were crashes involving two or more motorcycles. Sixty-two percent of motorcyclist serious injuries (578 of 933) and 58% of all motorcyclist fatalities occurred in multiple-vehicle crashes (128 of 221). \n \nFigure 2 shows the percent of fatalities or serious injuries among all persons involved in multi-vehicle crashes with at least one motorcyclist in 2022. Among all the serious injuries involving motorcyclists: \n 96% rode on a motorcycle (represented by teal in Figure 4). - 91% were the motorcycle operator - 5% were motorcycle passengers \n 4% were occupants of other vehicles or non-motorists (represented by brown and peach in Figure 4). - 3% were occupants of vehicles that were not a motorcycle vehicle body type. - 1% were non-motorists (i.e., pedestrians or bicyclists). \n \nFigure 2. Percent of Persons Fatally or Seriously Injured in Multi-Vehicle Crashes Involving Motorcyclists by Person Type, 2022 \n \nMotorcycle occupant Not a motorcycle occupant \n \nMotorcyclists Passenger 5% (40) \n \nOccupants of Other Vehicles \n3% (20) \nNon-Motorists 1% (7) \n \nMotorcyclist Operator 91% (666) \n600 Serious Injuries, including 578 motorcyclists 133 Fatal Injuries, including 128 motorcyclists \nSource: CODES 2022, FARS 2022 \n \nIn 2022, 8% (77 out of 936) of all motorcycle vehicles involved in serious injury crashes were multioccupant motorcycles (had at least two occupants--operators and passengers--riding on a motorcycle). Passengers of motorcyclists are likely to obtain the same injuries as motorcycle operators when they are involved in a traffic crash. Nearly three-quarters of all passengers on motorcycles involved in traffic crashes or serious injury crashes were female--most were in the 25-to-34 age group. Most (53 out of 64) motorcycle passengers involved in fatal and serious injury crashes were female. See the Demographics section on page 14 for operator information. \n \nPage 4 \n \n Emergency Medical Services \nIn 2022, the Emergency Medical Services (EMS) transported 2,862 motorcyclists involved in motor vehicle traffic crashes to a hospital facility--a 9% decrease compared to 3,152 in 2021. Two percent of all motor vehicle traffic-related EMS transports involved motorcyclists. \nIn 2022, 82% (2,352 out of 2,862) of the motorcyclists transported by EMS were male. The rate of EMS transports per 100,000 population was 44.12 for male motorcyclists and 7.69 for female motorcyclists. \n \nTrauma \nAccording to the 2022 Georgia Trauma Registry data, motorcycle related incidents accounted for 12.8% of all patients treated for motor vehicle traffic-related incidents (motor vehicle occupants, motorcyclists, pedestrians, and bicyclists) in Georgia Trauma Centers. In 2022, there were a total of 1,573 motorcyclists identified as trauma patients treated within Georgia Trauma Centers. \nTrauma registry reports that 21% of operators of motorcycles who were tested for alcohol were confirmed using alcohol. Of the 115 motorcycle operators confirmed using alcohol, 78% had BAC greater than or equal to 0.08 g/dL. In 2022, 57% of the motorcycle operators that were tested for drugs were confirmed positive for drug use. Of the motorcycle operators testing positive for drugs, 92% (133 out of 145) were confirmed to be using illegal drugs. \n \nEmergency Room Visits \u0026 Hospitalizations \nIn 2022, there were 4,539 motor vehicle traffic-related emergency room visits and hospitalizations1 involving motorcyclists--a 31% decrease compared to 6,626 in 2021. Motorcyclists aged 25-to-34 years had the highest rate of emergency room visits and hospitalizations compared to other age groups  57.24 emergency room visits and 18.53 hospitalizations for every 100,000 population. The total motorcycle traffic-related hospitalization and emergency room charges in Georgia was $269.9 million. \n \nIn 2022, the total motorcycle traffic-related hospitalization and emergency room charges \nin Georgia was \n$269.9 M \n \nHelmet Use Since 1969, Georgia's universal helmet law2 has never been repealed or changed. Three of the five bordering states (Tennessee, Alabama, and North Carolina) have also not repealed or changed their helmet law. Most other states have certain specifications for helmet use or no helmet law. The stability of Georgia's universal helmet law may contribute to the high helmet usage rate--estimated to be 97.8% across the state in 20213. \n1 Some hospitalizations may include emergency room visit information if the individuals were admitted into the same facility. Emergency room visits only include individuals who were discharged directly from the ER. Hospitalizations and emergency room visits include Georgia residents only, while fatalities can be a person out-of-state. 2 O.C.G.A. 40-6-315 3 Bason, James. J. 2021. \"Statewide Use of Occupants Restraints: An Observational Study of Safety Restraint Use in Georgia, 2021\". Traffic Safety Research and Evaluation Group, College of Public Health, University of Georgia: Athens, Georgia \nPage 5 \n \n Helmet use among motorcyclists involved in Georgia crashes resulted in an estimated 117 lives saved4. If all Georgia motorcyclists had worn helmets, an additional seven lives would have been saved. Although not all crashes are survivable, helmet use is still an effective means of preventing fatalities. According to the National Center for Statistics and Analysis, helmets are estimated to be 37% effective in preventing fatalities for motorcycle operators and 41% for motorcycle passengers.5 \"In other words, for every 100 motorcycle [operators] killed in crashes while not wearing helmets, 37 of them could have been saved had all 100 worn helmets.\" NHTSA estimates that Georgia saved $116 million in economic costs because of helmet use in 2017.6 \n \nHelmet use among motorcyclists involved in Georgia crashes resulted \nin an estimated \n117 lives saved. \nAlthough not all crashes are survivable, helmet use \nis an effective means of preventing fatalities. \n \nIn 2022, nearly 9 out of 10 fatally injured motorcyclists in Georgia (88%) were reported wearing a helmetcompared to 51% nationwide. Based on reported known helmet use, 18% of motorcyclists involved in crashes, 16% of motorcyclists with serious injuries, and 12% of motorcyclists fatally injured were un-helmeted in Georgia. \n \nTable 5. Motorcyclists Involved in Crashes, Serious Injuries, and Fatalities by Helmet Use, 2022 \n \nMotorcyclists \nMotorcyclists involved in crashes Motorcyclists with serious injuries Fatally injured motorcyclists \n \nTotal \n \nHelmeted \n \n# \n \n% \n \nUn-helmeted \n \n# \n \n% \n \nUnknown # % \n \nPercent Based on \n \nKnown Helmet Use \n \nHelmeted \n \nUnhelmeted \n \n4,438 3,351 76% 717 16% 370 8% \n \n82% \n \n18% \n \n933 740 79% 144 15% 49 5% \n \n221 191 86% \n \n27 12% \n \n3 1% \n \n84% 88% \n \n16% 12% \n \nMotorcyclists are vulnerable road users and are susceptible to other fatal injuries that cannot be prevented or lessened by helmet-use alone. \n \nSource: CODES 2022, FARS 2022 \n \nCrash Characteristics \nAccording to the police crash reports, there were 4,103 motor vehicle traffic crashes that involved at least one motorcycle in 2022--a 0.4% increase compared to 4,085 motorcycle crashes that occurred in 2021. During this period, the number of crashes where a motorcyclist was seriously or fatally injured increased by 10% and 14%, respectively. Table 6 shows the number of motorcyclist traffic crashes, serious injury crashes, and fatal crashes between 2018 and 2022. \n \nTable 6. Motorcycle (MC) Traffic Crashes, Serious Injury Crashes, and Fatal Crashes, 2018-2022 \n \nYear \n \nMC Fatal Crashes \n \nMC Serious \n \nMC \n \nInjury Crashes Crashes \n \n2018 \n \n151 \n \n573 \n \n3,121 \n \n2019 \n \n168 \n \n686 \n \n3,948 \n \n2020 \n \n190 \n \n808 \n \n3,786 \n \n2021 \n \n195 \n \n824 \n \n4,085 \n \n2022 \n \n222 \n \n910 \n \n4,103 \n \nSource: CODES 2018- 2022, FARS 2018-2022 \n \n4 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. 5 National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. 6 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. \nPage 6 \n \n Urban vs. Rural7 \nIn 2022, there were 1,910.5 motorcycle crashes for every 100,000 motorcycle registrations statewide (Table 7). Motorcycle crashes are more frequent in urban areas than in rural areas.  The Atlanta Region accounted \nfor 39% (1,607 out of 4,103) of all motorcycle crashes and 35% of all motorcycle registrations.  Other urban counties accounted for 39% (1,611 out of 4,103) of all motorcycle crashes and 38% of all motorcycle registrations. \n \nTable 7. Motorcycle Crashes, Motorcycle Registrations, and Motorcycle Crash Rate by Region Type, 2022 \n \nRegion \n \nMotorcycle Crashes \n \nNumber Percent \n \nAtlanta Region8 \n(11 counites) \n \n1,607 \n \n39% \n \nOther Urban \n(30 counties) \n \n1,611 39% \n \nRegistered Motorcycles \n \nNumber \n \nPercent \n \nMotorcycle Crash Rate \nper 100,000 Registrations \n \n74,242 \n \n35% \n \n2,164.5 \n \n81,203 \n \n38% \n \n1,983.9 \n \nRural Counties \n(118 counties) \n \n855 21% 59,315 \n \n28% \n \n1,441.5 \n \nStatewide \n \n4,103 100% 214,760 100% \n \n1,910.5 \n \nSource: CODES 2022, DOR 2022 \n \nTable 8 below shows the percent of motorcycle crashes by region and roadway classification in 2022. Most motorcycle crashes statewide occurred on minor arterial roadways (28%) and principal arterial roadways (26%). \n The Atlanta Region experienced more motorcycle crashes on minor arterial roadways (31%) compared to any other roadways classification in the region. \n Other urban counties experienced more motorcycle crashes on principal arterial roadways (31%) and minor arterial roadways (30%). \n Rural counties experienced more motorcycle crashes on collector roads (roads that connect local roads and streets)--30%. \n \nTable 8. Motor Vehicle Traffic Crashes Involving Non-Motorists by Region and Roadway Classification, 2022 \n \nRoadway Classification \n \nAtlanta Region \n \nOther Urban Counties \n \nRural Counties \n \nStatewide \n \nInterstate \n \n12% \n \n4% \n \n3% \n \n7% \n \nPrincipal Arterial \n \n23% \n \n31% \n \n22% \n \n26% \n \nMinor Arterial \n \n31% \n \n30% \n \n19% \n \n28% \n \nCollectors \n \n10% \n \n14% \n \n30% \n \n16% \n \nLocal \n \n22% \n \n20% \n \n24% \n \n22% \n \nOther \n \n2% \n \n1% \n \n2% \n \n2% \n \nAll Roadways \n \n1,607 \n \n1,611 \n \n885 \n \n4,103 \n \n(100%) \n \n(100%) \n \n(100%) \n \n(100%) \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. Totals include MC crashes with unknown roadway \n \nclassification Source: Numetric 2022 \n \n7 Rural counties are counties that have a residential population less than 50,000 persons. This is different than roadway classifications where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. 8 The Atlanta Region includes the eleven counties that are defined by the Atlanta Regional Commission (ARC): Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Henry, and Rockdale counties. In July 2021, Forsyth County officially joined ARC, becoming the 11th county member. \nPage 7 \n \n Figure 3 shows the motorcycle crash rate for counties with five or more motorcycle crashes in 2022 and their motorcycle crash rate. The statewide rate of motorcycle crashes for every 100,000 motorcycle registrations was 1,910.5. \nThe majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in the Atlanta Region and rural counties along the North Carolina, South Carolina, and Alabama border. Thirteen percent of all motorcycle operators involved in Georgia traffic crashes had a license from another state  five percent were licensed from a bordering state (Alabama, Florida, North Carolina, South Carolina, or Tennessee). \n \nFigure 3. Motorcycle (MC) Crashes per 100,000 MC Registrations for Counties with 5+ MC Crashes, 2022 \nMotorcycle Crashes per 100,000 Motorcycle Registrations \n625  1,300 1,301  1,900 1,901 - 3,500 3,501 + \nStatewide crash rate is 1,910.5 motorcycle crashes per 100,000 motorcycle registrations \nNote: displaying counties with more than five (5) motorcycle crashes. Source: CODES 2022, DOR 2022 \n \nThe most motorcycle serious injury and fatal crashes occurred within the four counties of the Atlanta Region  Fulton, Dekalb, Gwinnett, and Cobb counties. However, Montgomery County has the highest motorcycle serious injury and fatal crash rate per 100,000 motorcycle registrations in 2022. Rural counties had the highest proportion of motor vehicle crashes that involved motorcycles--particularly White, Lumpkin, and Towns counties. \n \nTable 9. Top Counties with 10+ MC Crashes and the Highest Motorcyclists Serious Injury and \n \nFatal Crashes and Motorcycle Crash Rate, 2022 \n \nMotorcyclist Serious Injuries and Fatalities Crashes \n \nAll Motorcycle Crashes \n \nRank \n \nCount County Number \n \nPercent \n \nof County Motorcycle \n \nCrashes resulting in \n \nfatal or serious injuries \n \nCounty* \n \nPercent \n \nRate per 100,000 MC \nRegistration \n \nCounty \n \nRate \n \nPercent of ALL County Motor Vehicle \nCrashes \nCounty* Percent \n \nRate per 100,000 MC \nRegistrations \n \nCounty \n \nRate \n \n1 Fulton \n \n97 Oconee \n \n71% Montgomery 2,259.9 White \n \n5% Chatham 3,922.8 \n \n2 Dekalb \n \n62 Jasper \n \n67% Dooly \n \n1,980.2 Lumpkin \n \n5% Peach \n \n3,791.5 \n \n3 Gwinnett 60 Barrow \n \n63% Decatur \n \n1,225.5 Towns \n \n5% Richmond 3,691.2 \n \n4 Cobb \n \n59 Madison 58% Baldwin \n \n1,214.6 Union \n \n4% Bibb \n \n3,664.9 \n \n5 Chatham 56 Haralson 56% \n*Counties with less than five (5) motorcycle crashes were excluded. Source: CODES 2022; DOR 2022 ; FARS 2022 \n \nBacon \n \n1,129.9 Lamar \n \n3% Fulton \n \n3,636.9 \n \nSee the \"Additional Information\" to access the Appendix for this document. The Appendix includes the following information by county: Motorcycle Crashes  \nMotorcycle Registrations  Motorcycle Licensed Operators  Suspected Serious Injuries and Fatalities  Suspected and Confirmed Motorcycle Operator Alcohol Involvement. \n \nPage 8 \n \n Environmental Characteristics \n \nTable 10 summarizes the environmental characteristics of where and when motorcycle fatal crashes and traffic crashes occurred in 2022. \n 51% of motorcycle fatal crashes and 42% of motorcycle traffic crashes occurred in non-intersection areas of the roadway. \n 52% of motorcycle fatal crashes and 69% of motorcycle traffic crashes occurred in daylight. \n 84% of motorcycle fatal crashes and 83% of motorcycle traffic crashes occurred in clear weather conditions. \n 31% of motorcycle fatal crashes and 29% of motorcycle traffic crashes occurred in the Spring months. \nMost motorcycle traffic crashes occurred in the weekday daytime hours (39%), compared to more fatal crashes occurring on the weekend during the nighttime hours (29%). \n \nTable 10. Motor Vehicle Crashes Involving Motorcyclists \n \nby Environmental Characteristics, 2022 \n \nEnvironmental Characteristics \n \nMotorcycle Fatal Crashes \nNumber Percent \n \nMotorcycle Traffic Crashes \nNumber Percent \n \nLocation * Intersection (or related) \nNon-Intersection \n \n79 \n \n36% \n \n1,690 \n \n38% \n \n113 \n \n51% \n \n1,850 \n \n42% \n \nOther \n \n30 \n \n14% \n \n898 \n \n20% \n \nLight Conditions Dark \n \n98 \n \n44% \n \n1,226 \n \n28% \n \nDaylight \n \n115 \n \n52% \n \n3,073 \n \n69% \n \nDawn \n \n4 \n \n2% \n \n38 \n \n1% \n \nDusk \n \n5 \n \n2% \n \n84 \n \n2% \n \nDay of Week / Time of Day * \n \nWeekday Nighttime Daytime \n \n118 \n \n53% \n \n2,590 \n \n58% \n \n53 \n \n24% \n \n837 \n \n19% \n \n64 \n \n29% \n \n1,753 \n \n39% \n \nWeekend Nighttime Daytime \n \n104 \n \n47% \n \n1,848 \n \n42% \n \n64 \n \n29% \n \n932 \n \n21% \n \n40 \n \n18% \n \n916 \n \n21% \n \nWeather Conditions \n \nClear \n \n187 \n \n84% \n \n3,669 \n \n83% \n \nCloudy \n \n28 \n \n13% \n \n613 \n \n14% \n \nRain \n \n5 \n \n2% \n \n138 \n \n3% \n \nOther Season \n \n2 \n \n1% \n \n18 \n \n\u003c1% \n \nWinter (Jan-Feb, Dec) \n \n32 \n \n14% \n \n586 \n \n13% \n \nSpring (Mar-May) \n \n68 \n \n31% \n \n1,300 \n \n29% \n \nSummer (Jun-Aug) \n \n63 \n \n28% \n \n1,305 \n \n29% \n \nFall (Sep-Nov) \n \n59 \n \n27% \n \n1,247 \n \n28% \n \nWeekday  6:00 a.m. Monday to 5:59 p.m. Friday Weekend  6:00 p.m. Friday to 5:59 a.m. Monday \n \nDaytime  6:00 a.m. to 5:59 p.m. Nighttime  6:00 p.m. to 5:59 a.m. \n*See data considerations for definitions of intersection and non-intersection locations. Other locations include: on shoulder, off-roadway, entrance/exit ramps, and locations categorized as other on the crash report. Source: CODES 2022, FARS 2022 \n \nIn 2022, more motorcyclist fatal crashes occurred in the months of April and October. Figure 4 shows the percentage of motorcyclist fatal crashes by season, month, and time of day. \n \nFigure 4. Motorcyclist Fatal Crashes by Season, Month, and Time of Day, 2022 \nDaytime (6:00 a.m. 5:59 p.m) 15% Nighttime (6:00 p.m.  5:59 a.m) \n \n53% (117) \n \n47% (104) \n \nAll Seasons \n \n10% 5% \n \n3% \n \n5% \n \n9% \n \n5% \n \n5% \n \n6% \n \n6% \n \n4% \n \n7% \n \n2% \n \n3% \n \n0% 2% \n \n4% \n \n4% \n \n5% \n \n4% \n \n5% \n \n3% \n \n4% \n \n4% \n \n6% \n \n5% \n \n3% \n \nJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec \n \nWinter \n \nSpring \n \nSummer \n \nFall \n \nWinter \n \nNote: Nighttime and daytime groupings are based on the time of day in hours. The time groupings do not consider the change in lighting conditions associated with the seasons (i.e., extended or longer daylight hours in the summer). Source: FARS 2022 \n \nPage 9 \n \n Contributing Circumstances \nIn 2022, 81% of all motorcycle crashes involved two or more vehicles (multi-vehicle crashes), and 19% were single-vehicle motorcycle crashes. The most harmful event in motorcycle crashes was collisions with other motor vehicles in transport for multi-vehicle crashes and the overturn of the motorcycle (noncollision related) for single-vehicle crashes. \nPassenger vehicles9 were more frequently involved in crashes with motorcyclists compared to other vehicle types. The most common manner of collision in multi-vehicle crashes involving motorcycles was angle and rear-end crashes. The manner of collision is not vehicle specific and does not identify which vehicle or driver was at fault. Table 11 below shows the highest rank manner of collision for multivehicle traffic crashes, injury crashes, and fatal crashes that involve a motorcyclist. \n \nTable 11. Highest Rank Manner of Collision for Multi-Vehicle Crashes Involving Motorcyclist by Crash Type, 2022 \n \nRank \n \nFatal Crashes \n \nManner of Collision \n \n% of crashes \n \nSerious Injury Crashes \n \nManner of Collision \n \n% of crashes \n \nTraffic Crashes \n \nManner of Collision \n \n% of crashes \n \n1 Angle \n \n54% Angle \n \n58% Angle \n \n43% \n \n2 Rear end (Front-to-rear) \n \n24% \n \nRear end (Front-to-rear) \n \n20% \n \nRear end (Front-to-rear) \n \n30% \n \n3 Head on (Front-to-front) \n4 Not a collision with a motor vehicle \n \n10% 6% \n \nHead on (Front-to-front) \nSideswipe same direction \n \n9% \n \nSideswipe same direction \n \n8% \n \nNot a collision with a motor vehicle \n \n12% 6% \n \nSource: CODES 2022; FARS 2022 \n \nMotorcycle operators losing control is the top contributing factor among motorcyclists involved in singlevehicle crashes. In 2022, 49% of operators lost control of their motorcycles before they collided with another object that was not another vehicle. The top contributing factors among motorcycle operators involved in multi-vehicle crashes were following too closely (30%) and risky/aggressive driving (27%). The top factors for other drivers involved in multi-vehicle crashes with motorcyclists were failure to yield (48%) and following too closely (18%). This does not imply that the motorcycle operators or other drivers caused the crash either by their actions or failure to act. \n \nTable 12. Top Contributing Factors with Crashes Involving Motorcyclists by Number of Vehicles Involved and Person Type, 2022 \n \nRank \n1 \n \nSingle Vehicle Crashes \n \nMotorcyclists \n \nDescription \n \n% of all operators \n \nOperator lost control \n \n49% \n \nTwo-Vehicle Crashes \n \nMotorcyclists Description \n \n% of all operators \n \nOther Drivers Description \n \nFollowing too close \n \n30% Failed to yield \n \n% of all drivers \n48% \n \n2 Speeding \n \n18% Risky/aggressive driving \n \n27% Following too close \n \n18% \n \n3 Under the influence of alcohol and/or drug \n4 Risky/aggressive driving \n \n9% Speeding 8% Operator lost control \n \n15% 12% \n \nRisky/aggressive driving Improper Turn \n \n16% 7% \n \nSource: CODES 2022; FARS 2022 \n \n9 Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \n \nPage 10 \n \n SPEEDING MOTORCYCLISTS \n \nDrivers are considered to be speeding if they were charged with a speeding-related offense or if a police officer indicated that racing, driving too fast for conditions, exceeding the posted speed limit, or evading police was a contributing factor in the crash. In 2022: \n 36% of all motorcyclists involved in fatal crashes were speeding. \n 13% of all motorcyclists involved in serious injury crashes were speeding. \n 11% of all motorcyclists involved in motor vehicle traffic crashes were speeding. \n \nTable 13. Number of Motorcycle Operators and Drivers Involved in Crashes by Vehicle Category, Speeding Status, and Crash Type, 2022 \n \nVehicle Type Motorcycles \n \nFatal Crashes \n \n# \n \n% \n \n225 100% \n \nSerious Injury Crashes \n \n# \n \n% \n \n936 100% \n \nAll Traffic Crashes \n \n# \n \n% \n \n4,201 100% \n \nSpeeding \n \n81 36% \n \n126 13% \n \n447 11% \n \nNot-Speeding 144 64% \n \n810 87% 3,754 89% \n \nOther Vehicles 2,280 100% 11,715 100% 682,498 100% \n \nSpeeding \n \n311 14% \n \n756 \n \n6% 15,623 2% \n \nNot-Speeding 1,969 86% 10,959 94% 666,875 98% \n \nTOTAL \n \n2,505 \n \n12,651 \n \n686,699 \n \nNote: The table above counts the number of vehicles (or operators/drivers) involved in crashes. More than one motorcycle can be involved in a crash Source: CODES 2022, FARS 2022 \n \nA greater proportion of motorcycle operators involved in fatal, serious injury, or motor vehicle crashes were speeding compared to other vehicle categories (Figure 5). In 2022: \n 36% of all motorcycle operators involved in fatal crashes were speeding  compared to 15% for passenger car drivers and 2% for large-truck drivers. \n 13% of all motorcycle operators involved in serious injury crashes were speeding. \n 11% of all motorcycle operators involved in motor vehicle traffic crashes were speeding. \n \nFigure 5. Percent of Drivers or Motorcycle Operators Speeding by Vehicle Category and Crash Type, 2022 \n \n40% 36% \n35% 30% \n \nMotorcycle Passenger Vehicles Large Trucks \n \n25% \n \n20% \n \n15% \n \n15% \n \n13% \n \n11% \n \n10% 5% \n \n2% \n \n7% 4% \n \n2% 1% \n \n0% \nFatal Crashes \n \nSerious Injury All Traffic Crashes Crashes \n \nPassenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles. Source: FARS 2022, CODES 2022 \n \nMoreover, compared to other age groups, motorcycle operators 25-to-34 years represented a greater proportion of motorcycle operators involved in speed-related crashes, speed-related serious injury crashes, and speed-related fatal crashes compared to other age groups. \n \nPage 11 \n \n ALCOHOL INVOLVEMENT AMONG MOTORCYCLISTS \nAlcohol involvement is defined as whether alcohol was consumed by the motorcycle operator before the crash; the presence of alcohol may or may not be a contributing factor in the crash. Under Georgia law it is a rebuttable presumed criminal offense to operate a motor vehicle at or above a 0.08 grams per deciliter (g/dL) blood alcohol concentration (BAC) tested via blood, breath, or urine. However, impairment occurs when the driver's ability to safely operate a motor vehicle is compromised--this can be above or below the Georgia legal limit of .08 g/dL. Georgia law states drivers cannot operate a moving vehicle while under the influence of alcohol to the extent that it is less safe to drive.10 Under this law, drivers can be cited and convicted of impaired driving even with a BAC below 0.08 g/dL. \n \nAcross the 4,201 Georgia motorcycle operators involved in crashes in 2022, 5% were either confirmed or suspected of alcohol impairment-- 92 motorcycle operators were confirmed of alcohol impairment, and an additional 131 motorcycle operators were suspected of alcohol impairment. Of those motorcycle operators suspected of alcohol impairment, many did not have a BAC value reported in the police crash report; however, they were administered an alcohol test. In the same year, 2% of other drivers that were not motorcyclists were either confirmed or suspected of alcohol impairment-- 7,141 drivers were confirmed of alcohol impairment, and an additional 4,943 drivers were suspected of alcohol impairment. \n \nThe number of motorcycle operators involved in a fatal crash with a positive BAC (0.01+ g/dL) increased by 28%, from 32 in 2018 to 41 in 2022. These motorcycle operators may or may not have been fatally injured in the crash. Table 14 shows motorcycle operators involved in a fatal crash by BAC from 2018-2022. In 2022:  31% of motorcycle operators had a BAC of 0.00 or no alcohol.  4% of motorcycle operators had a BAC between 0.01 and 0.07.  14% of motorcycle operators had a BAC of 0.08 or above.  51% of motorcycle operators had an unknown or unreported BAC. \n \nTable 14. Motorcycle Operators Involved in a Fatal Crash by BAC, 2018-2022 \n \nYear \n \nMotorcycle Operators \n \nBAC .00 g/dL Number Percent \n \nBAC .01-.07 g/dL BAC .08+ g/dL Number Percent Number Percent \n \nUnknown / Unreported \nNumber Percent \n \n2018 \n \n158 \n \n54 \n \n34% \n \n10 \n \n6% \n \n22 \n \n14% \n \n72 \n \n46% \n \n2019 \n \n174 \n \n61 \n \n35% \n \n4 \n \n2% \n \n22 \n \n13% \n \n87 \n \n50% \n \n2020 \n \n196 \n \n45 \n \n23% \n \n11 \n \n6% \n \n25 \n \n13% \n \n115 \n \n59% \n \n2021 \n \n200 \n \n43 \n \n22% \n \n11 \n \n6% \n \n36 \n \n17% \n \n110 \n \n56% \n \n2022 \n \n225 \n \n70 \n \n31% \n \n10 \n \n4% \n \n31 \n \n14% \n \n114 \n \n51% \n \nNote: Motorcycle operators may or may not have been fatally injured in the crash. BAC .00 g/dL means no alcohol present. BAC .01- .07 g/dL means some alcohol is present, and the driver is below the Georgia legal limit. BAC .08+ g/dL means alcohol is present, and the driver is above the Georgia legal limit. Source: FARS 2018-2022 \n \nFor additional information, see the Appendix for the percentage of motorcycle operators involved in motor vehicle crashes confirmed or suspected of alcohol impairment by county for 2022. \n \n10 O.C.G.A.  40-6-391(a)(1) \n \nPage 12 \n \n Motorcycle Licensure \u0026 Vehicle Registration \nMotorcycle operators with a Class M license or a Class M Instructional Permit (MP) have a valid license to operate a motorcycle or motor-driven cycle in Georgia legally. Across the decade, drivers with a Class M license only, Class MP license only, or a Class M status assigned to another license type consistently represented about 6% of all licensed drivers. Between 2021 and 2022:  Licenses with Class M designations (Class M \nonly or Class M with other license classes) increased by 3%.  Licenses with Class MP designations increased by 4%. \nAccording to the Department of Driver Services (DDS), 9,525 individuals completed the Georgia Motorcycle Safety Program in 2022. The program teaches crash-avoidance skills to motorcycle riders of various experience levels. Despite the statewide reach of the Motorcycle Safety Program, 54% of motorcycle operators involved in a traffic crash in 2022 were either unlicensed or did not have a valid designation on their driver's license--a net 1-point decrease compared to 2021. \nMotorcycles consistently represent two percent of all registered vehicles in Georgia. Among the motorcycle body classifications identified by NHTSA vPIC, motorcyclist fatalities were more frequent on sports motorcycles (41%), followed by touring motorcycles (16%), custom motorcycles (9%), and cruisers (9%). \n \nTable 15. 2021-2022 Percent Change in \n \nMotorcycle Licensure, License Status for \n \nMotorcyclists Involved in Crashes, and \n \nMotorcycle Registration \n \nMeasure \n \n2021-2022 \nPercent Change \n \nAll Georgia Licensed Drivers / Operators \n \nTotal Class M / MP \n \n3% \n \nClass M \n \n3% \n \nClass MP \n \n4% \n \nOther License Class \n \n5% \n \nMotorcycle Operator Involved in Crashes \n \nTotal Class M / MP \n \n5% \n \nClass M \n \n4% \n \nClass MP \n \n7% \n \nOther license Class not valid to operate a motorcycle \n \n- \n \nNo license present or licensure status unknown \n \n-15% \n \nRegistered Motorcycles \n \nAll Engine Sizes \n \n1% \n \nSource: DDS 2021-2022, CODES 2021-2022, DOR 2021-2022 \n \nDespite the statewide reach of the Motorcycle Safety Program, \n54% \nof motorcycle operators involved in a traffic crash in 2022 were either unlicensed or did \nnot have a valid designation on their driver's licenses. \n \nPage 13 \n \n Demographics \nAge \nWhile older persons within the 55-to-64 age group have the highest proportion of properly licensed motorcyclists and motorcycle registrants, motorcyclists in the 25-to-34 age group have the highest involvement in crashes and receive a greater proportion of motorcycle-related convictions. Compared to drivers in other age groups, motorcycle operators aged 25-to-34 years represent 10% of all riders with a valid Class M or MP license; however, they also represented: \n 27% of motorcycle operators who sustained fatal and serious injuries;  20% of motorcycle operators involved in a traffic crash;  25% of motorcycle operators with invalid or no license credentials involved in a crash (not shown \nin Table 16); and  34% of motorcycle operators with convictions reported to the Georgia Department of Driver \nServices. \n \nTable 16. Motorcycle Operator Fatalities, Motorcycle Crashes, Licensed Motorcyclists with a Class M or MP License, and Motorcycle Registrations, 2022 \n \nAge Group \n \nMotorcyclists Fatalities and Serious Injuries \nOperator Passenger \n \nMotorcycle Operator Involved in Crashes \n \nMotorcycle Operator \nConvictions \n \nChildren \n(less than 15) \n \n1% \n \n3% \n \n1% \n \n-- \n \n15-24 \n \n15% \n \n23% \n \n18% \n \n29% \n \n15-20 \n \n7% \n \n9% \n \n8% \n \n13% \n \n21-24 \n \n8% \n \n14% \n \n10% \n \n15% \n \n25-34 \n \n27% \n \n20% \n \n25% \n \n34% \n \n35-44 \n \n21% \n \n14% \n \n19% \n \n19% \n \n45-54 \n \n17% \n \n16% \n \n16% \n \n10% \n \n55-64 \n \n12% \n \n14% \n \n12% \n \n7% \n \n65+ \n \n6% \n \n8% \n \n6% \n \n2% \n \nUnknown \n \n1% \n \n2% \n \n4% \n \nTOTAL \n \n1,090 \n \n64 \n \n4,201 \n \n100% \n \n100% \n \n100% \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. \n \nSource: FARS 2022, CODES 2022, DDS 2022, DOR 2022 \n \n-- \n391 \n100% \n \nLicensed Motorcyclists \nClass M / MP \n-- \n2% \n1% 2% \n10% 14% 20% 26% 27% \n-467,149 \n100% \n \nMotorcycle Registrants \n-- \n3% \n1% 2% \n11% 15% 23% 28% 19% \u003c 1% 214,760 \n100% \n \nThe proportion of motorcycle operators involved in traffic crashes that are unlicensed or did not have the valid Class M/MP designation on their license decreases as the age group increases. Among motorcycle operators in the 25to-34 age group, only 45% had a valid Class M/MP license, 51% did not have the Class M/MP designation, and 4% were reported as unknown. \n \nFigure 6. Licensing Status of Motorcycle Operators Involved in Traffic Crashes by Age Group, 2022 \n \nValid License (Class M / MP) Improper or Unlicensed Unknown \n \n100% 80% 60% \n \n53% \n \n51% \n \n49% \n \n45% \n \n39% \n \n33% \n \n40% \n20% 31% \n \n40% \n \n45% \n \n47% \n \n50% \n \n55% \n \n65% \n \n0% 4% \n \nLess 15-24 25-34 35-44 45-54 55-64 65+ \n \nthan 15 \n \nAge Group \n \nSource: CODES 2022 \n \nPage 14 \n \n Sex \u0026 Race/Ethnicity \nIn 2022, 90% (3,798 out of 4,201) of the motorcycle operators involved in crashes were male, 5% (227 out of 4,201) were female, and four percent were unknown or unreported (176 out of 4,201). Three quarters (75%, 178 out of 237) of the motorcycle passengers involved in crashes were female. \nWhite, Non-Hispanic motorcyclists represent the largest proportion of motorcycle operator fatalities (65%), hospital visits (64%), and emergency room visits (65%) compared to other racial/ethnic groups. \n The highest rate per 100,000 population was among White males, 79.8. The motorcycle operator fatality rate per population was 2.1 for White, non-Hispanic, and 1.9 for Black, non-Hispanic. \n Despite the higher counts of motorcyclist fatalities among the White racial demographic group, the total hospital and emergency room rates per 100,000 population among White and Black were 45.7 and 36.0, respectively. \n \nAllTerrain Vehicles \nAllTerrain Vehicles (ATVs) traffic-related crashes are defined as off-road recreational vehicles involved in a crash on public roadways. Between 2018 and 2022, ATVs riders (operators and passengers) represented 0.9% of all traffic fatalities--yearly fatality counts ranged from a low of 9 in 2021 to a high of 26 in 2020. \nDuring the 5-year period (2018-2022), among the ATV rider fatalities (in no particular order and not mutually exclusive): \n 25% were in the 25-to-34 age group,  75% were male,  59% were un-helmeted,  57% were involved in single-vehicle crashes, and  72% were in rural counties. \n \nTable 17. ATV-Related Fatalities, Serious Injuries, and Involvement in Motor Vehicle Traffic Crashes, 2018-2022 \n \nYear \n \nFatalities \n \nNumber \n \nPercent of All Fatalities \n \nSerious Injuries \n \nNumber \n \nPercent of All Serious Injuries \n \nATV Riders in Traffic Crashes \n \nNumber \n \nPercent of All Persons \n \n2018 \n \n14 \n \n0.9% \n \n43 \n \n0.7% \n \n381 \n \n0.2% \n \n2019 \n \n17 \n \n1.1% \n \n68 \n \n0.9% \n \n998 \n \n0.1% \n \n2020 \n \n26 \n \n1.5% \n \n114 \n \n1.5% \n \n803 \n \n0.2% \n \n2021 \n \n9 \n \n0.5% \n \n101 \n \n1.1% \n \n1,106 \n \n0.2% \n \n2022 \n \n11 \n \n0.6% \n \n123 \n \n1.4% \n \n1,544 \n \n0.3% \n \nSource: FARS 20182022; CODES 2018-2022 \n \nPage 15 \n \n Data Definitions and Considerations: This fact sheet defines motorcyclists as either the rider (motorcycle operator) or passenger. A motorcycle includes two- or threewheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. A \"large truck\" is any medium or heavy truck, excluding buses and motor homes, and can include commercial and non-commercial vehicles. Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). Motorcycle registration data for 2020 was obtained from the Department of Revenue (DOR) by special request on the calendar year in lieu of the state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. A traffic crash is defined as an incident that involved one or more motor vehicles where at least one vehicle was in transport, and the crash originated on a public trafficway, such as a road or highway. Crashes that occurred on private property, including parking lots and driveways, are excluded. Fatal crashes are defined as crashes that involve a motor vehicle traveling on a trafficway customarily open to the public and that resulted in the death of a motorist or a non-motorist within 30 days of the crash. Serious injuries are those suspected serious injuries reported by law enforcement and used when any injury, other than fatal injury, prevents the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. The National Center for Health Statistics (NCHS), the Federal agency responsible for the use of the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) in the United States, has developed a clinical modification (CM) of the classification for morbidity (EMS, trauma, hospital, and ER data) purposes. ICD-10 Codes used were V20-V28 (.3 - .9), V29 (.4 - .9). For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of missing blood alcohol test results in the FARS data system. A multiple imputation methodology is employed to generate specific values of BAC for persons involved in fatal crashes. Many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. Contributing circumstances capture the precrash elements or improper actions of persons (motorcycle operators, pedestrians, bicyclists, and other motorists) that may have caused the crash. Contributing factors in fatal and nonfatal crashes are often underreported in the datasets. There is at least one record per person involved in a fatal crash (FARS Data) and some missing records for persons involved in motor vehicle traffic crashes (Crash Data). Rural counties are counties that have a population of less than 50,000 according to the United States decennial census of 2010 or any future such census (OCGA Section 31-6-2). This is different than roadway classifications, where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \"At Intersection\" is used when a person is on a roadway either (1) in the intersection, (2) in the area between a crosswalk and the perimeter of the intersection, or (3) in a crosswalk (marked or unmarked) adjacent to an intersection. \"Not at Intersection\" is when the person is more than 50 feet out from the perimeter of an intersection and the crash is not identified as related to the movement of vehicles through an intersection. \nPage 16 \n \n Additional Information: Other general information on motorcycle safety and traffic safety facts may be accessed at: \n Appendix: Motorcycles Georgia Traffic Safety Facts  https://www.gahighwaysafety.org/highway-safety/shsp/ \nOther traffic safety facts are available online at the Georgia Governor's Office of Highway Safety and Crash Outcomes Data Evaluation Systems (CODES): Risky Driving, Traffic Safety During the COVID-19 Public Health Emergency, Distracted Drivers, Occupant Protection, Non-Motorist (Pedestrians and Bicyclists), Motorcycle Safety, Young Adult Drivers, and Older Drivers. \n \nThe suggested APA format citation for this document is: \nGeorgia Crash Outcomes Data Evaluation System. (2024, May). Motorcycles: 2022 data. (Georgia Traffic Safety Facts). Atlanta, GA: Governor's Office of Highway Safety. \n \nReferences: \nNational Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results Traffic Safety Fact Research Note. (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812936 \nNational Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811433 \nNational Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812867 \n \nPage 17 \n \n Appendix \nMotorcycles Drivers Georgia Traffic Safety Facts \n(2022) \nThis document is the Appendix for the 2022 Motorcycles Georgia Traffic Safety Facts. Visit https://www.gahighwaysafety.org/highway-safety/shsp/ to access the full report. \nData Considerations: \n Alcohol-Related Crashes: For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of \nmissing blood alcohol test results in FARS data system. For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \n Motorcycle Registration: Motorcycle registration data for 2021 was obtained from the Department of Revenue (DOR) by special request \non the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \n Suspected Serious Injuries: Suspected serious injuries are reported by law enforcement and used when any injury, other than fatal injury, \nprevent the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \n \nMotorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2022 \n \nCounty Name \nSTATEWIDE Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,103 \u003c5 \u003c5 5 \u003c5 20 8 8 68 \u003c5 7 70 \u003c5 \u003c5 5 13 34 10 18 \n \n% AlcoholRelated 6% 20% 10% 13% 13% 6% 33% 14% 67% 9% 10% 17% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,438 \n \n933 (21%) \n \n\u003c5 \n \n25% \n \n\u003c5 \n \n- \n \n5 \n \n40% \n \n\u003c5 \n \n- \n \n21 \n \n43% \n \n10 \n \n40% \n \n8 \n \n63% \n \n76 \n \n24% \n \n\u003c5 \n \n33% \n \n8 \n \n25% \n \n74 \n \n20% \n \n\u003c5 \n \n50% \n \n\u003c5 \n \n- \n \n6 \n \n- \n \n13 \n \n23% \n \n34 \n \n26% \n \n10 \n \n50% \n \n19 \n \n26% \n \nClass M / MP Licensed Drivers 467,149 \n727 219 427 105 1,561 1,577 5,025 7,863 609 959 4,413 690 950 636 3,161 3,124 982 1,896 \n \nMotorcycle Registrations \n214,760 295 109 177 38 741 835 \n2,814 3,561 \n258 509 1,910 333 425 291 1,512 1,430 542 949 \n \nPage 18 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2022 (con't) \n \nCounty Name \nSTATEWIDE Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur Dekalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth Franklin Fulton \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,103 \u003c5 31 \u003c5 66 21 \u003c5 195 14 96 42 \u003c5 112 \u003c5 249 9 12 59 \u003c5 72 6 9 \u003c5 21 14 241 \u003c5 6 23 60 \u003c5 28 \u003c5 \u003c5 \u003c5 26 32 52 52 7 401 \n \n% AlcoholRelated 6% 19% 11% 9% 14% 8% 5% 4% 2% 11% 17% 2% 25% 4% 17% 11% 19% 7% 2% 25% 17% 4% 7% 11% 15% 3% 6% 12% 14% 2% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,438 \n \n214,760 \n \n\u003c5 \n \n100% \n \n33 \n \n33% \n \n\u003c5 \n \n100% \n \n75 \n \n23% \n \n21 \n \n43% \n \n\u003c5 \n \n50% \n \n213 \n \n28% \n \n- \n \n- \n \n15 \n \n27% \n \n101 \n \n18% \n \n44 \n \n20% \n \n\u003c5 \n \n50% \n \n120 \n \n27% \n \n\u003c5 \n \n100% \n \n264 \n \n24% \n \n10 \n \n40% \n \n12 \n \n33% \n \n62 \n \n11% \n \n\u003c5 \n \n50% \n \n73 \n \n27% \n \n8 \n \n63% \n \n10 \n \n10% \n \n\u003c5 \n \n100% \n \n24 \n \n17% \n \n15 \n \n33% \n \n259 \n \n25% \n \n\u003c5 \n \n50% \n \n7 \n \n57% \n \n27 \n \n33% \n \n62 \n \n21% \n \n\u003c5 \n \n100% \n \n- \n \n- \n \n33 \n \n36% \n \n\u003c5 \n \n25% \n \n\u003c5 \n \n67% \n \n\u003c5 \n \n- \n \n30 \n \n27% \n \n36 \n \n19% \n \n60 \n \n30% \n \n56 \n \n29% \n \n7 \n \n43% \n \n418 \n \n23% \n \nClass M / MP Licensed Drivers \n467,149 146 \n4,087 493 \n7,431 3,897 \n454 11,135 \n462 1,508 16,618 3,030 \n127 6,486 \n193 28,912 \n1,325 1,603 8,379 \n743 10,136 \n936 805 1,082 2,512 942 17,091 806 385 2,334 6,717 394 147 5,123 1,193 825 417 2,617 7,124 5,656 12,148 1,698 26,677 \n \nMotorcycle Registrations \n214,760 66 \n1,814 250 \n3,485 1,872 \n198 4,971 \n200 663 7,708 1,332 \n40 3,269 \n82 12,908 \n628 731 3,607 288 4,447 413 285 442 1,330 408 7,118 327 202 1,010 3,173 169 \n72 2,528 \n537 442 233 1,431 3,062 2,513 5,587 776 11,026 \n \nPage 19 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2022 (con't) \n \nCounty Name \nSTATEWIDE Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie McIntosh Meriwether Miller Mitchell Monroe Montgomery \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,103 25 \u003c5 35 24 8 \u003c5 244 28 115 \u003c5 9 14 15 6 71 61 35 9 \u003c5 \u003c5 \u003c5 13 16 \u003c5 14 5 31 8 46 43 \u003c5 12 \u003c5 8 \u003c5 7 \u003c5 \u003c5 16 6 \n \n% AlcoholRelated 6% 8% 9% 4% 13% 5% 14% 10% 14% 7% 17% 8% 10% 9% 50% 6% 7% 6% 7% 2% 50% 25% 13% 13% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,438 \n \n214,760 \n \n27 \n \n44% \n \n\u003c5 \n \n100% \n \n38 \n \n21% \n \n25 \n \n32% \n \n11 \n \n27% \n \n\u003c5 \n \n100% \n \n263 \n \n23% \n \n33 \n \n30% \n \n120 \n \n23% \n \n\u003c5 \n \n100% \n \n12 \n \n33% \n \n17 \n \n18% \n \n17 \n \n24% \n \n6 \n \n67% \n \n74 \n \n22% \n \n63 \n \n25% \n \n- \n \n- \n \n38 \n \n34% \n \n10 \n \n60% \n \n\u003c5 \n \n50% \n \n\u003c5 \n \n- \n \n- \n \n- \n \n\u003c5 \n \n25% \n \n15 \n \n13% \n \n17 \n \n12% \n \n\u003c5 \n \n- \n \n15 \n \n27% \n \n6 \n \n17% \n \n32 \n \n19% \n \n- \n \n- \n \n9 \n \n33% \n \n51 \n \n14% \n \n47 \n \n15% \n \n\u003c5 \n \n50% \n \n13 \n \n54% \n \n\u003c5 \n \n100% \n \n8 \n \n38% \n \n\u003c5 \n \n25% \n \n9 \n \n22% \n \n\u003c5 \n \n- \n \n\u003c5 \n \n- \n \n19 \n \n26% \n \n7 \n \n57% \n \nClass M / MP Licensed Drivers \n467,149 3,043 128 4,517 3,893 973 951 \n27,447 3,195 \n11,129 308 \n2,338 2,971 1,663 \n938 11,803 \n9,007 421 \n5,225 1,168 \n496 537 237 289 1,704 1,506 481 2,009 1,897 3,488 499 1,147 5,200 2,786 398 1,947 459 1,001 806 1,520 212 658 2,113 347 \n \nMotorcycle Registrations \n214,760 1,496 51 1,800 1,892 482 356 \n13,006 1,479 5,346 168 1,143 1,184 875 438 5,530 3,799 170 2,659 608 224 238 114 144 788 650 241 965 787 1,762 195 593 2,381 1,646 192 850 163 553 349 761 92 295 884 177 \n \nPage 20 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2022 (con't) \n \nCounty Name \nSTATEWIDE Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs Towns Treutlen Troup Turner Twiggs Union Upson Walker \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,103 9 21 83 50 7 5 62 24 21 \u003c5 5 24 \u003c5 5 14 109 49 \u003c5 \u003c5 37 18 \u003c5 8 \u003c5 \u003c5 \u003c5 \u003c5 15 8 7 11 36 \u003c5 \u003c5 29 11 32 \n \n% AlcoholRelated 6% 14% 7% 2% 6% 5% 50% 20% 4% 50% 21% 6% 17% 25% 7% 13% 9% 11% 33% 19% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,438 \n \n214,760 \n \n9 \n \n33% \n \n24 \n \n38% \n \n93 \n \n20% \n \n53 \n \n28% \n \n7 \n \n71% \n \n6 \n \n33% \n \n68 \n \n25% \n \n24 \n \n25% \n \n26 \n \n27% \n \n\u003c5 \n \n100% \n \n5 \n \n40% \n \n29 \n \n21% \n \n\u003c5 \n \n50% \n \n6 \n \n17% \n \n- \n \n- \n \n16 \n \n44% \n \n- \n \n- \n \n114 \n \n26% \n \n56 \n \n18% \n \n\u003c5 \n \n100% \n \n\u003c5 \n \n- \n \n- \n \n- \n \n43 \n \n35% \n \n21 \n \n14% \n \n\u003c5 \n \n100% \n \n9 \n \n- \n \n\u003c5 \n \n67% \n \n- \n \n- \n \n\u003c5 \n \n67% \n \n\u003c5 \n \n100% \n \n- \n \n- \n \n\u003c5 \n \n- \n \n17 \n \n24% \n \n8 \n \n50% \n \n7 \n \n29% \n \n13 \n \n23% \n \n- \n \n- \n \n40 \n \n40% \n \n\u003c5 \n \n67% \n \n\u003c5 \n \n33% \n \n33 \n \n24% \n \n12 \n \n50% \n \n36 \n \n19% \n \nClass M / MP Licensed Drivers \n467,149 1,338 2,464 7,635 5,806 2,005 982 \n10,344 1,453 3,120 989 1,868 2,780 425 1,352 200 1,394 208 5,450 3,951 271 611 435 3,925 2,083 129 1,003 396 90 864 405 370 355 1,783 1,634 1,065 1,353 256 3,715 368 490 3,180 1,858 4,205 \n \nMotorcycle Registrations \n214,760 694 \n1,280 2,914 3,025 \n817 417 4,719 633 1,703 397 878 1,416 211 558 \n50 734 \n81 2,953 1,855 \n113 283 171 1,749 915 \n61 415 156 \n44 408 160 169 157 825 695 499 669 152 1,444 161 214 1,763 756 2,132 \n \nPage 21 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2022 (con't) \n \nCounty Name \nSTATEWIDE Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth \n \nMotorcycle Crashes \n \nMotorcycle Crashes 4,103 38 15 \u003c5 \u003c5 11 \u003c5 39 48 \u003c5 \u003c5 7 \n \n% AlcoholRelated 6% 5% 13% 36% 10% 10% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,438 \n \n214,760 \n \n43 \n \n30% \n \n16 \n \n19% \n \n\u003c5 \n \n100% \n \n5 \n \n20% \n \n13 \n \n31% \n \n- \n \n- \n \n\u003c5 \n \n- \n \n45 \n \n22% \n \n49 \n \n27% \n \n\u003c5 \n \n100% \n \n\u003c5 \n \n67% \n \n- \n \n- \n \n9 \n \n56% \n \nClass M / MP Licensed Drivers \n467,149 6,181 1,547 193 703 1,465 107 172 2,473 4,796 295 536 461 1,039 \n \nMotorcycle Registrations \n214,760 2,979 591 95 287 668 49 70 1,309 2,355 111 215 204 483 \n \nPage 22 \n \n "},{"id":"dlg_ggpd_1391017351-2023-05","title":"Motorcycles (Georgia Governor's Office of Highway Safety), 2021","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":null,"dc_date":["2023-05"],"dcterms_description":["2019 has appendix available as separate document: Motorcycles drivers Georgia traffic safety facts.","2019 (harvested on February 8, 2022 from gahighwaysafety.org); title from PDF caption (Georgia Government Publications database, viewed June 30, 2023).","2019 Appendix (harvested on February 8, 2022 from gahighwaysafety.org); (Georgia Government Publications database, viewed June 30, 2023)."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, GA : Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals.","Motorcycling accidents","Georgia","Georgia Government Documents--Serial"],"dcterms_title":["Motorcycles (Georgia Governor's Office of Highway Safety), 2021"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_1391017351-2023-05"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_1391017351-2023-05"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Georgia Traffic Safety Facts \n2021 Data \n \nMay 2023 \nIn this fact sheet, information is presented as follows. \n Motorcyclist Fatalities and Serious Injuries - Motorcyclist Fatalities - Motorcyclist Serious Injuries - Helmet Use \n Crash Characteristics - Urban vs. Rural - Environmental Characteristics \n Contributing Circumstances - Speeding - Alcohol Involvement \n Motorcycle Licensure \u0026 Vehicle Registration \n Demographics \nThis fact sheet contains information from the Fatality Analysis Reporting System (FARS), Georgia Department of Transportation (GDOT) crash data modified by Crash Outcomes Data Evaluation System (CODES) at the Department of Public Health (DPH), Georgia Department of Driver Services (DDS), Georgia Department of Revenue (DOR), Georgia Emergency Medical Services Information System (GEMSIS), Hospital Discharge Data, Emergency Room Data, and the Georgia Trauma Registry. \nGovernor's Office of Highway Safety \n7 MLK. Jr Dr SE Suite #643 Atlanta, GA 30334 (404) 656-6996 www.gahighwaysafety.org \n \nMotorcycles \nAs defined in this fact sheet, a motorcyclist is a general term to refer to either the rider (motorcycle operator) or passenger. A motorcycle includes two- or three-wheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. \n2021 Key Findings \n There were 194 motorcyclist fatalities that occurred in motor vehicle traffic crashes on Georgia roadways  the largest number of motorcyclist fatalities experienced in the past decade. \n Motorcycles consistently represent 2 percent of all registered vehicles and are involved in 1 percent of all motor vehicle crashes in Georgia. Motorcycle operators also represent 6 percent of all licensed drivers, but 15 percent of all driver fatalities. \n Nearly half (47 percent) of motorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash. \n Among all the traffic-related fatalities and serious injuries involving motorcyclists, 97 percent were riding on a motorcycle, and 3 percent were occupants of other vehicles or non-motorists. \n Helmet use (89 percent) among motorcyclists involved in a Georgia crash resulted in an estimated 103 lives saved. \n The majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in the Atlanta Region and rural counties along the North Carolina, South Carolina, and Alabama borders. \n Motorcycle operators losing control is the top contributing factor among motorcyclists involved in single-vehicle crashes--62 percent of operators lost control of their motorcycle moments before colliding with another object that was not another vehicle. \n The total motorcycle traffic-related hospitalization and emergency room charges in Georgia was $252.0 million. \n Motorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of police-reported suspected serious injuries, EMS transports, emergency room visits, and hospitalizations compared to motorcyclists in other age groups. \n \nPage 1 \n \n Motorcyclist Fatalities and Serious Injuries \n \nMotorcyclist Fatalities \nIn 2021, there were 1,797 fatalities that occurred in motor vehicle traffic crashes on Georgia roadways  the largest number of traffic fatalities since 2006. The 194 motorcyclist fatalities that occurred in 2021 represented 11 percent of all traffic fatalities (Figure 1) and is the highest number of motorcyclist fatalities experienced in the past decade. \nBetween 2020 and 2021, motorcycle registrations increased by 3 percent (from 206,834 to 212,788), and motorcyclist fatalities increased by 1 percent (from 192 to 194). As a result, the rate of motorcycle fatalities decreased by 2 percent, from 92.8 to 91.2 motorcycle fatalities per 100,000 motorcycle registrations. \nTable 1 presents the total traffic fatalities, Georgia motorcycle registrations, and motorcyclist fatalities from 2012 to 2021. \nMotorcyclist Injuries \nThe following section describes public safety and medical responses to serious injuries experienced by motorcyclists involved in motor vehicle traffic crashes (Table 2). Injured motorcyclists can be counted multiple times for each response (e.g., an injured person may be counted as a hospital and/or trauma center patient). The 2021 Georgia Trauma Registry injury data was unavailable at the time of this reporting. \n \nFigure 1. Rate and Percent of Motorcyclist Fatalities, 2012-2021 \n \nRate per 100,000 Registrations \n \n14% \n \nPercent of All Traffic Fatalities \n \n12% \n11% \n10% \n8% \n6% 66.6 \n4% \n \n10% 58.2 \n \n12% 68.7 \n \n11% 76.1 \n \n11% 86.2 \n \n9% 68.2 \n \n10% 75.6 \n \n11% 83.6 \n \n12% 92.8 \n \n120.0 \n11% 100.0 91.2 80.0 \n6 0. 0 \n4 0. 0 \n \n2% \n \n2 0. 0 \n \n0% \n \n0.0 \n \n2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 \n \nSource: FARS 20122021; FY2014-FY2019 DOR Annual Reports; DOR 2019-2021 \n \nTable 1. Rate and Percent of Motorcyclist Traffic Fatalities, 2012-2021 \n \nYear \n \nTotal Traffic Fatalities \n \nGeorgia Registered Motorcycles \n \nMotorcyclist Fatalities \n \nNumber Percent \nof All Traffic Fatalities \n \nRate \nper 100,000 Registrations \n \n2012 \n \n1,192 \n \n201,206 \n \n134 \n \n11% \n \n66.6 \n \n2013 \n \n1,180 \n \n199,287 \n \n116 \n \n10% \n \n58.2 \n \n2014 \n \n1,164 \n \n199,445 \n \n137 \n \n12% \n \n68.7 \n \n2015 \n \n1,432 \n \n199,796 \n \n152 \n \n11% \n \n76.1 \n \n2016 \n \n1,556 \n \n199,504 \n \n172 \n \n11% \n \n86.2 \n \n2017 \n \n1,540 \n \n203,783 \n \n139 \n \n9% \n \n68.2 \n \n2018 \n \n1,504 \n \n203,639 \n \n154 \n \n10% \n \n75.6 \n \n2019 \n \n1,491 \n \n203,343 \n \n170 \n \n11% \n \n83.6 \n \n2020 \n \n1,664 \n \n206,834 \n \n192 \n \n12% \n \n92.8 \n \n2021 \n \n1,797 \n \n212,788 \n \n194 \n \n11% \n \n91.2 \n \nNote: Motorcycle registrations include commercial and non-commercial motorcycles. \n \nSource: FARS 20122021; FY2014-FY2019 DOR Annual Reports; DOR 2019-2021 \n \nTable 2. Description of Traffic Injury Surveillance Data Sources \nTraffic Injury Surveillance Data Sources \nSuspected Serious Crash Injuries are reported by law enforcement responding to a motor vehicle crash scene. \n \nEmergency Medical Services include all ground and air transports to an emergency facility for patients who are injured and require medical care in the state of Georgia. \nTrauma Center patients are identified as those with serious injuries that meet specific criteria. The State of Georgia follows the identification and treatment guidelines established by the American College of Surgeons along with the Centers of Disease Control and Prevention (CDC) Field Triage Criteria. \nEmergency Room and Hospitalizations include Georgia resident discharges from Georgia non-federal acute care hospitals. Emergency room (ER) visits include individuals who were discharged directly from the ER. Hospitalizations include individuals who may have visited the emergency room. \n \nPage 2 \n \n Table 3 shows the number and percent change of motorcycle traffic-related serious injuries for each injury surveillance source. The surveillance sources show an increase in motorcyclists with serious injuries between 2020 and 2021: \n Motorcyclist serious injuries reported by law enforcement increased by 2 percent. \n The number of motorcyclists transported to a hospital facility by the Emergency Medical Services (EMS) increased by 37 percent. \n Motor vehicle traffic-related emergency room-only visits involving motorcyclists increased by 30 percent, and hospitalizations more than doubled (a 121 percent increase). \n \nTable 3. Motorcyclists Traffic-Related Serious Injuries by Injury Surveillance Source, 2020-2021 \n \nInjury Surveillance Source \n \n2020 \n \n2021 \n \n2020-2021 Percent Change \n \nPolice Crash Reports \n \n834 \n \n848 \n \n+ 2% \n \nEmergency Medical Services* \n \n2,300 \n \n3,152 \n \n+ 37% \n \nTrauma \n \n1,374 \n \n++ \n \n++ \n \n++ \n \nEmergency Department** \n \n3,229 \n \n4,186 \n \n+30% \n \nHospital \n \n1,105 \n \n2,440 \n \n+121% \n \n* EMS arrivals to motor vehicle traffic crashes with reported serious injuries and fatalities may or may not have resulted in transport to a medical facility. ** All persons involved in a Georgia crash receive care in a Georgia Emergency Department or Hospital, regardless of their state residency. ++ 2021 Georgia Trauma Registry data and 2021 Emergency Medical Services data Source: CODES 2020-2021, DPH Hospital Inpatient Discharge and Emergency Room Visit Data 20202021, GEMSIS 2020-2021, Georgia Trauma Registry 2020 \n \nMotorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of policereported suspected serious injuries, EMS transports, and hospitalizations compared to motorcyclists in other age groups. Young motorcyclists ages 21-to-24 years have the highest rate of emergency room visits. \n \nTable 4. Motorcyclists Traffic-Related Serious Injuries, Percent of Total Serious Injuries, and Rate per 100,000 Population by Age Group and by Injury Surveillance Source, 2021 \n \nAge Group \n\u003c15 15-24 \n15-20 21-24 \n25-34 35-44 45-54 55-64 65+ Total \n \nPolice-Reported Suspected Serious \nCrash Injuries \n \nCount Percent \n \nRate \n \n12 \n \n1% \n \n0.6 \n \n126 15% \n \n52 \n \n6% \n \n8.5 5.7 \n \n74 \n \n9% 12.9 \n \n223 26% 14.9 \n \n184 22% 12.9 \n \n132 16% \n \n9.4 \n \n103 12% \n \n7.7 \n \n56 7% \n \n3.5 \n \n848* 100% 7.9 \n \nEmergency Medical Services \n \nCount 76 516 255 261 757 629 580 377 217 \n3,152 \n \nPercent 2% 16% 8% 8% 24% 20% 18% 12% 7% \n100% \n \nRate 3.7 34.8 28.1 45.5 50.7 44.0 41.5 28.1 13.7 \n29.2 \n \nEmergency Room \n \nCount 129 675 315 360 914 712 537 364 180 \n4,186 \n \nPercent 3% 16% 8% 9% 22% 17% 13% 9% 4% \n100% \n \nRate 6.2 45.5 34.7 62.7 61.2 49.8 38.4 27.1 11.4 \n38.8 \n \nHospitalizations \n \nCount 2 \n142 60 82 \n272 231 220 183 99 \n2,440 \n \nPercent 0% 6% 2% 3% 11% 9% 9% 8% 4% \n100% \n \nRate 0.1 9.6 6.6 14.3 18.2 16.2 15.7 13.6 6.2 \n22.6 \n \n++ 2021 Georgia Trauma Registry data was unavailable at the time of reporting. * Includes 20 suspected serious injuries with unknown age Source: CODES 2021, DPH-OHIP Hospital Inpatient Discharge and Emergency Room Visit Only Data 2021, GEMSIS 2021 \n \nPage 3 \n \n Suspected Serious Crash Injuries \n \nAccording to 2021 police crash reports, 4,440 motorcyclists (4,174 operators and 266 passengers) were involved in motor vehicle traffic crashes, and there were 848 suspected serious injuries among motorcyclists. In 2021, motorcyclists with police-reported suspected serious injuries increased by 2 percent from 834 in 2020. \n \nOut of the 4,085 crashes that involved motorcyclists, 60 percent were multi-vehicle crashes (involving other vehicles that were not a motorcycle vehicle body type), 36 percent were single vehicles (involving only one motorcycle), and 4 percent were crashes involving two or more motorcycles. Sixty-six percent of motorcyclist serious injuries and 62 percent of all motorcyclist fatalities occurred in multiple-vehicle crashes. \n \nFigure 2 shows the percent of fatalities or serious injuries among all persons involved in crashes with at least one motorcyclist in 2021. Among all the serious injuries involving motorcyclists: \n 97 percent rode on a motorcycle (represented by gray in Figure 4). - 91 percent were the motorcycle operator - 6 percent were motorcycle passengers \n 3 percent were occupants of other vehicles or nonmotorists (represented by brown in Figure 4). - 2 percent were occupants of vehicles that were not a motorcycle vehicle body type. - 1 percent were non-motorists (i.e., pedestrians or bicyclists). \n \nFigure 2. Percent of Persons Fatally or Seriously Injured in Crashes Involving Motorcyclists by Person Type, 2021 \nMotorcycle occupant Not a motorcycle occupant \nMotorcyclists Passenger 6% (68) \nOccupants of Other Vehicles, 2% (22) \nNon-Motorists, 1% (7) \nMotorcycle Operator 91% (974) \n \nIn 2021, 10 percent (84 out of 854) of all motorcycle vehicles involved in serious injury crashes were multioccupant motorcycles (had at least two occupants-- operators and passengers--riding on a motorcycle). Passengers of motorcyclists are likely to obtain the same injuries as motorcycle operators when they are involved in a traffic crash. Nearly three-quarters of all passengers on motorcycles involved in traffic crashes or serious injury crashes were female--most were in the 25-to-34 age group. Most (88 out of 96) motorcycle passengers involved in fatal and serious injury crashes were female. See the Demographics section on page 14 for operator information. \n \n848 Serious Injuries 194 Fatal Injuries \nSource: CODES 2021, FARS 2021 \n \nPage 4 \n \n Emergency Medical Services \nIn 2021, the Emergency Medical Services (EMS) transported 3,152 motorcyclists involved in motor vehicle traffic crashes to a hospital facility--a 37 percent increase compared to 2,300 in 2020. Three percent of all motor vehicle traffic-related EMS transports involved motorcyclists. \nIn 2021, 81 percent (2,550 out of 3,152) of the motorcyclists transported by EMS were male. The rate of EMS transports per 100,000 population was 48.4 for male motorcyclists and 10.1 for female motorcyclists. \n \nEmergency Room Visits \u0026 Hospitalizations \nIn 2021, there were 6,626 motor vehicle traffic-related emergency room visits and hospitalizations1 involving motorcyclists--a 53 percent increase compared to 4,334 in 2020. Motorcyclists aged 25-to-34 years had the highest rate of emergency room visits and hospitalizations compared to other age groups  61.2 emergency room visits and 18.2 hospitalizations for every 100,000 population. The total motorcycle traffic-related hospitalization and emergency room charges in Georgia was $252.0 million. \n \nIn 2021, the total motorcycle traffic-related hospitalization and emergency room charges \nin Georgia was \n$252.0 M \n \nHelmet Use \nSince 1969, Georgia's universal helmet law2 has never been repealed or changed. Three of the five bordering states (Tennessee, Alabama, and North Carolina) have also not repealed or changed their helmet law. Most other states have certain specifications for helmet use or no helmet law. The stability of Georgia's universal helmet law may contribute to the high helmet usage rate--estimated to be 97.8 percent across the state in 20213. \nIn 2021, nearly 9 out of 10 fatally injured motorcyclists in Georgia (89 percent) were reported wearing a helmetcompared to 38 percent nationwide. Based on reported known helmet use, 22 percent of motorcyclists involved in crashes, 11 percent of motorcyclists with serious injuries, and 10 percent of motorcyclists fatally injured were un-helmeted in Georgia. \n \n1 Some hospitalizations may include emergency room visit information if the individuals were admitted into the same facility. Emergency room visits only include individuals who were discharged directly from the ER. Hospitalizations and emergency room visits include Georgia residents only, while fatalities can be a person out-of-state. 2 O.C.G.A. 40-6-315 3 Bason, James. J. 2021. \"Statewide Use of Occupants Restraints: An Observational Study of Safety Restraint Use in Georgia, 2021\". Traffic Safety Research and Evaluation Group, College of Public Health, University of Georgia: Athens, Georgia \nPage 5 \n \n Table 5. Motorcyclists Involved in Crashes, Serious Injuries, and Fatalities by Helmet Use, 2021 \n \nMotorcyclists \nMotorcyclists involved in crashes Motorcyclists with serious injuries Fatally injured motorcyclists \n \nTotal \n4,440 848 194 \n \nHelmeted Un-helmeted \n \n# \n \n% \n \n# \n \n% \n \n3,336 75% 951 21% \n \n654 77% 83 10% \n \n169 87% 19 10% \n \nUnknown \n \n# \n \n% \n \n153 3% \n \n111 13% \n \n6 3% \n \nPercent Based on Known Helmet Use \nHelmeted Un-helmeted \n \n78% \n \n22% \n \n89% \n \n11% \n \n90% \n \n10% \n \nSource: CODES 2021, FARS 2021 \n \nHelmet use among motorcyclists involved in Georgia crashes resulted in an estimated 103 lives saved4. If all Georgia motorcyclists had worn helmets, an additional seven lives would have been saved. Although not all crashes are survivable, helmet use is still an effective means of preventing fatalities. According to the National Center for Statistics and Analysis, helmets are estimated to be 37 percent effective in preventing fatalities for motorcycle operators and 41 percent for motorcycle passengers.5 \"In other words, for every 100 motorcycle [operators] killed in crashes while not wearing helmets, 37 of them could have been saved had all 100 worn helmets.\" NHTSA estimates that Georgia saved $116 million in economic costs because of helmet use in 2017.6 \n \nHelmet use among motorcyclists involved in Georgia crashes \nresulted in an estimated 103 lives saved. \nAlthough not all crashes are survivable, helmet use is an effective means of preventing \nfatalities. \n \nCrash Characteristics \nAccording to the police crash reports, there were 4,085 motor vehicle traffic crashes that involved at least one motorcycle in 2021--a 8 percent increase compared to 3,786 motorcycle crashes that occurred in 2020. During this period, the number of crashes where a motorcyclist was seriously or fatally injured increased by 2 percent and 4 percent, respectively. Table 6 shows the number of motorcyclist traffic crashes, serious injury crashes, and fatal crashes between 2017 and 2021. \n \nTable 6. Motorcycle (MC) Traffic Crashes, Serious Injury Crashes, and Fatal Crashes, 2017-2021 \n \nYear \n \nMC Fatal Crashes \n \nMC Serious \n \nMC \n \nInjury Crashes Crashes \n \n2017 \n \n138 \n \n955 \n \n4,158 \n \n2018 \n \n151 \n \n573 \n \n3,121 \n \n2019 \n \n168 \n \n686 \n \n3,948 \n \n2020 \n \n185 \n \n808 \n \n3,786 \n \n2021 \n \n193 \n \n824 \n \n4,085 \n \nSource: CODES 2017- 2021, FARS 2017-2021 \n \n4 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. 5 National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. 6 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. \nPage 6 \n \n Urban vs. Rural7 \nIn 2021, there were 1,919.8 motorcycle crashes for every 100,000 motorcycle registrations statewide (Table 7). Motorcycle crashes are more frequent in urban areas than in rural areas. \n The Atlanta Region accounted \nfor 38 percent (1,549 out of 4,085) of all motorcycle crashes and 33 percent of all motorcycle registrations. \n Other urban counties accounted \nfor 40 percent (1,633 out of 4,085) of all motorcycle crashes and 40 percent of all motorcycle registrations. \n \nTable 7. Motorcycle Crashes, Motorcycle Registrations, and Motorcycle Crash Rate by Region Type, 2021 \n \nRegion \n \nMotorcycle Crashes \nNumber Percent \n \nRegistered Motorcycles \n \nNumber \n \nPercent \n \nMotorcycle Crash Rate \nper 100,000 Registrations \n \nAtlanta Region8 \n(10 counites) \n \n1,549 \n \n38% \n \n69,330 \n \n33% \n \n2,234.2 \n \nOther Urban \n(31 counties) \n \n1,633 40% 85,874 \n \n40% \n \n1,901.6 \n \nRural Counties \n(118 counties) \n \n903 \n \n22% \n \n57,584 \n \n27% \n \n1,568.1 \n \nStatewide \n \n4,085 100% 212,788 100% \n \n1,919.8 \n \nSource: CODES 202, DOR 2021 \n \nTable 8 below shows the percent of motorcycle crashes by region and roadway classification in 2021. Most motorcycle crashes statewide occurred on minor arterial roadways (28 percent) and principal arterial roadways (25 percent). \n The Atlanta Region experienced more motorcycle crashes on minor arterial roadways (12 \npercent) compared to any other roadways classification in the region. \n Other urban counties experienced more motorcycle crashes on minor arterial roadways \n(12 percent) and principal arterial roadways (11 percent). \n Rural counties experienced more motorcycle crashes on principal arterial roadways (11 \npercent) and collector roads (roads that connect local roads and streets)--6 percent. \n \nTable 8. Motor Vehicle Traffic Crashes Involving Non-Motorists by Region and Roadway Classification, 2021 \n \nRoadway Classification \n \nAtlanta Region \n \nOther Urban Counties \n \nRural Counties \n \nStatewide \n \nInterstate \n \n5% \n \n1% \n \n1% \n \n7% \n \nPrincipal Arterial \n \n9% \n \n11% \n \n6% \n \n25% \n \nMinor Arterial \n \n12% \n \n12% \n \n4% \n \n28% \n \nCollectors \n \n4% \n \n6% \n \n6% \n \n16% \n \nLocal \n \n7% \n \n9% \n \n5% \n \n22% \n \nOther \n \n1% \n \n1% \n \n1% \n \n3% \n \nAll Roadways \n \n38% \n \n40% \n \n22% \n \n100% \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. Totals include MC crashes with \n \nunknown roadway classification Source: Numetric 2021 \n \n7 Rural counties are counties that have a residential population less than 50,000 persons. This is different than roadway classifications where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. 8 The Atlanta Region includes the ten counties that are defined by the Atlanta Regional Commission (ARC): Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Fulton, Gwinnett, Henry, and Rockdale counties. \nPage 7 \n \n Figure 3 shows the motorcycle crash rate for counties with ten or more motorcycle crashes in 2021 and their deviation from the statewide percent of motorcycle crash rate (1,919.8 motorcycle crashes for every 100,000 motorcycle registrations). \nThe majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in Atlanta Region and rural counties along the North Carolina, South Carolina, and Alabama border. Nine percent of all motorcycle operators involved in Georgia traffic crashes had a license from another state  five percent were licensed from a bordering state (Alabama, Florida, North Carolina, South Carolina, or Tennessee). \n \nFigure 3. Motorcycle (MC) Crashes per 100,000 MC Registrations for Counties with 10+ MC Crashes, 2021 \nMotorcycle Crashes per 100,000 Motorcycle Registrations \n625  1,300 1,301  1,900 1,901 - 3,500 3,501 + \nStatewide crash rate is 1,919.8 motorcycle crashes per 100,000 motorcycle registrations \nSource: CODES 2021 \n \nThe most motorcycle serious injury and fatal crashes occurred within the four counties of the Atlanta Region  Fulton, Cobb, Dekalb, and Gwinnett counties. However, Bibb County has the highest motorcycle serious injury and fatal crash rate per 100,000 motorcycle registrations in 2021. Rural counties had the highest rate of motorcycle crash rate for every 1,000 motor vehicle crashes that occur in the county--particularly in Lumpkin County. \n \nTable 9. Top Counties with 10+ MC Crashes and the Highest Motorcyclists Serious Injury and \n \nFatal Crashes and Motorcycle Crash Rate, 2021 \n \nMotorcyclist Serious Injuries and Fatalities Crashes \n \nAll Motorcycle Crashes \n \nRank \n \nCount \n \nPercent of County MC \nCrashes \n \nRate per 100,000 MC \nRegistration \n \nPercent of County Motor \nVehicle Crashes \n \nRate per 100,000 MC \nRegistrations \n \nCounty Number County* Percent County Rate \n \nCounty* \n \nPercent County \n \nRate \n \n1 Fulton \n \n96 Pike \n \n67% Bibb \n \n1,488.7 Lumpkin \n \n7% Bibb \n \n4,928.1 \n \n2 Cobb \n \n50 Worth \n \n60% Tift \n \n1,295.0 Towns \n \n6% Lumpkin \n \n4,599.2 \n \n3 Chatham \n \n46 Lamar \n \n50% Worth \n \n1,214.6 Fannin \n \n5% Fulton \n \n4,039.7 \n \n4 Dekalb \n \n46 Polk \n \n50% Clayton 1,202.0 Union \n \n4% Chatham \n \n3,979.0 \n \n5 Gwinnett \n \n32 Tift \n \n50% Upson \n \n*Counties with less than five (5) motorcycle crashes were excluded. Source: CODES 2021; DOR 2021 ; FARS 2021 \n \n1,176.5 White \n \n4% Richmond 3,563.2 \n \nSee the \"Additional Information\" to access the Appendix for this document. The Appendix includes the following information by county: Motorcycle Crashes  \nMotorcycle Registrations  Motorcycle Licensed Operators  Suspected Serious Injuries and Fatalities  Suspected and Confirmed Motorcycle Operator Alcohol Involvement. \n \nPage 8 \n \n Environmental Characteristics \n \nTable 10 summarizes the environmental characteristics of where and when motorcycle fatal crashes and traffic crashes occurred in 2021. In 2021, the environmental characteristics between motorcyclist fatal crashes and motorcycle traffic crashes that may or may not have injured persons were nearly the same. \n 64 percent of motorcycle fatal crashes and 42 percent of motorcycle traffic crashes occurred in non-intersection areas of the roadway. \n 56 percent of motorcycle fatal crashes and 71 percent of motorcycle traffic crashes occurred in daylight. \n 84 percent of motorcycle fatal crashes and 81 percent of motorcycle traffic crashes occurred in clear weather conditions. \n 32 percent of motorcycle fatal crashes and 30 percent of motorcycle traffic crashes occurred in the Spring months. \nMost motorcycle fatal crashes occurred during the weekend nighttime hours (31 percent), yet most motorcycle traffic crashes occurred in the weekday daytime hours (39 percent). \n \nTable 10. Motor Vehicle Crashes Involving Motorcyclists \n \nby Environmental Characteristics, 2021 \n \nEnvironmental Characteristics \n \nMotorcycle \n \nMotorcycle \n \nFatal Crashes Traffic Crashes \n \nNumber Percent Number Percent \n \nLocation * Intersection (or related) \n \n69 \n \n36% \n \n1,581 \n \n39% \n \nNon-Intersection \n \n123 \n \n64% \n \n1,711 \n \n42% \n \nOther \n \n1 \n \n1% \n \n793 \n \n19% \n \nLight Conditions Dark \n \n75 \n \n39% \n \n1,055 \n \n26% \n \nDaylight \n \n109 \n \n56% \n \n2,889 \n \n71% \n \nDawn \n \n-- \n \n-- \n \n25 \n \n1% \n \nDusk \n \n9 \n \n5% \n \n99 \n \n2% \n \nDay of Week / Time of Day * \n \nWeekday \n \n94 \n \nNighttime \n \n47 \n \n49% 24% \n \n2,311 721 \n \n57% 18% \n \nDaytime Weekend \nNighttime Daytime \n \n47 \n \n24% \n \n1,590 \n \n39% \n \n99 \n \n51% \n \n1,774 \n \n43% \n \n59 \n \n31% \n \n912 \n \n22% \n \n40 \n \n21% \n \n862 \n \n21% \n \nWeather Conditions \n \nClear \n \n163 \n \n84% \n \n3,329 \n \n81% \n \nCloudy \n \n25 \n \n13% \n \n605 \n \n15% \n \nRain \n \n3 \n \n2% \n \n131 \n \n3% \n \nOther \n \n2 \n \n1% \n \n20 \n \n\u003c1% \n \nSeason \n \nWinter (Jan-Feb, Dec) \n \n16 \n \n8% \n \n580 \n \n14% \n \nSpring (Mar-May) \n \n62 \n \n32% \n \n1,232 \n \n30% \n \nSummer (Jun-Aug) \n \n60 \n \n31% \n \n1,170 \n \n29% \n \nFall (Sep-Nov) \n \n55 \n \n28% \n \n1,103 \n \n27% \n \nWeekday  6:00 a.m. Monday to 5:59 p.m. Friday \n \nWeekend  6:00 p.m. Friday to 5:59 a.m. Monday \n \nDaytime  6:00 a.m. to 5:59 p.m. Nighttime  6:00 p.m. to 5:59 a.m. \n \n*See data considerations for definitions of intersection and non-intersection \n \nlocations. Other locations include: on shoulder, off-roadway, entrance/exit ramps, \n \nand locations categorized as other on the crash report. \n \nSource: CODES 2021, FARS 2021 \n \nIn 2021, more motorcyclist fatal crashes occurred in the months of March, June, July, and October. Figure 4 shows the percentage of motorcyclist fatal crashes by season, month, and time of day. \n \nFigure 4. Motorcyclist Fatal Crashes by Season, Month, and Time of Day, 2021 \nDaytime (6:00 a.m. 5:59 p.m) 15% Nighttime (6:00 p.m.  5:59 a.m) \n \n45% 55% (87) (106) \nAll Seasons \n \n10% \n \n5% \n \n6% \n \n7% \n \n5% \n \n6% \n \n5% \n \n7% \n \n5% \n \n7% \n \n4% \n \n3% \n0% \n \n2% \n \n6% \n \n4% \n \n5% \n \n5% \n \n6% \n \n2% \n \n5% \n \n4% \n \n4% \n \n2% \n \nJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec \n \nWinter \n \nSpring \n \nSummer \n \nFall \n \nWinter \n \nNote: Nighttime and daytime groupings are based on the time of day in hours. The time groupings do not consider the change in lighting conditions associated with the seasons (i.e., extended or longer daylight hours in the summer). Source: FARS 2021 \n \nPage 9 \n \n Contributing Circumstances \nIn 2021, 63 percent of all motorcycle crashes involved two or more vehicles (multi-vehicle crashes), and 37 percent were single-vehicle motorcycle crashes. The most harmful event in motorcycle crashes was collisions with other motor vehicles in transport for multi-vehicle crashes and the overturn of the motorcycle (non-collision related) for single-vehicle crashes. \nPassenger vehicles9 were more frequently involved in crashes with motorcyclists compared to other vehicle types. The most common manner of collision in multi-vehicle crashes involving motorcycles was angle and rear-end crashes. The manner of collision is not vehicle specific and does not identify which vehicle or driver was at fault. Table 11 below shows the highest rank manner of collision for multivehicle traffic crashes, injury crashes, and fatal crashes that involve a motorcyclist. \n \nTable 11. Highest Rank Manner of Collision for Multi-Vehicle Crashes Involving Motorcyclist by Crash Type, 2021 \n \nRank \n \nFatal Crashes \n \nManner of Collision \n \n% of crashes \n \nSerious Injury Crashes \n \nManner of Collision \n \n% of crashes \n \nTraffic Crashes \n \nManner of Collision \n \n% of crashes \n \n1 Angle \n \n58% Angle \n \n56% Angle \n \n43% \n \n2 Rear end (Front-to-rear) \n \n20% \n \nRear end (Front-to-rear) \n \n19% \n \nRear end (Front-to-rear) \n \n30% \n \n3 Head on (Front-to-front) \n4 Not a collision with a motor vehicle \n \n9% \n \nHead on (Front-to-front) \n \n8% \n \nSideswipe same direction \n \n9% \n \nSideswipe same direction \n \n7% \n \nNot a collision with a motor vehicle \n \n11% 7% \n \nSource: CODES 2021; FARS 2021 \n \nMotorcycle operators losing control is the top contributing factor among motorcyclists involved in singlevehicle crashes. In 2021, 62 percent of operators lost control of their motorcycles before they collided with another object that was not another vehicle. The top contributing factors among motorcycle operators involved in multi-vehicle crashes were following too closely (34 percent) and risky/aggressive driving (25 percent). The top factors for other drivers involved in multi-vehicle crashes with motorcyclists were failure to yield (49 percent) and following too closely (18 percent). This does not imply that the motorcycle operators or other drivers caused the crash either by their actions or failure to act. \n \nTable 12. Top Contributing Factors with Crashes Involving Motorcyclists by Number of Vehicles Involved and Person Type, 2021 \n \nRank \n1 \n \nSingle Vehicle Crashes \n \nMotorcyclists \n \nDescription \n \n% of all operators \n \nOperator lost control \n \n62% \n \nTwo-Vehicle Crashes \n \nMotorcyclists Description \n \n% of all operators \n \nOther Drivers Description \n \nFollowing too close \n \n34% Failed to yield \n \n% of all drivers \n49% \n \n2 Speeding \n \n23% Risky/aggressive driving \n \n25% Following too close \n \n18% \n \n3 Risky/aggressive driving \n \n10% Speeding \n \n14% Risky/aggressive driving \n \n14% \n \n4 Under the influence of alcohol and/or drug \n \n7% Failed to yield \n \n10% Changed lanes improperly \n \n9% \n \nSource: CODES 2021; FARS 2021 \n \n9 Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \n \nPage 10 \n \n SPEEDING MOTORCYCLISTS \n \nDrivers are considered to be speeding if they were charged with a speeding-related offense or if a police officer indicated that racing, driving too fast for conditions, exceeding the posted speed limit, or evading police was a contributing factor in the crash. In 2021: \n 28 percent of all motorcyclists involved in fatal crashes were speeding. \n 12 percent of all motorcyclists involved in serious injury crashes were speeding. \n 11 percent of all motorcyclists involved in motor vehicle traffic crashes were speeding. \n \nTable 13. Number of Motorcycle Operators and Drivers Involved in Speeding-Related Crashes by Vehicle Category and Crash Type, 2021 \n \nVehicle Type Motorcycles \n \nFatal Crashes \n \n# \n \n% \n \n198 100% \n \nSerious Injury Crashes \n \n# \n \n% \n \n854 100% \n \nAll Traffic Crashes \n \n# \n \n% \n \n4,174 100% \n \nSpeeding \n \n55 28% \n \n102 12% \n \n441 11% \n \nNot-Speeding 143 72% \n \n752 88% 3,733 89% \n \nOther Vehicles 2,419 100% 11,686 100% 682,498 100% \n \nSpeeding \n \n835 35% \n \n916 \n \n8% 17,000 2% \n \nNot-Speeding 1,584 65% 10,770 92% 665,498 98% \n \nTOTAL \n \n2,617 \n \n12,540 \n \n686,672 \n \nSource: CODES 2021, FARS 2021 \n \nA greater proportion of motorcycle operators involved in fatal, serious injury, or motor vehicle crashes were speeding compared to other vehicle categories (Figure 5). In 2021: \n 23 percent of all motorcycle operators \ninvolved in fatal crashes were speeding  compared to 15 percent for passenger car drivers and 3 percent for large-truck drivers. \n 12 percent of all motorcycle operators \ninvolved in serious injury crashes were speeding. \n 11 percent of all motorcycle operators \ninvolved in motor vehicle traffic crashes were speeding. \n \nFigure 5. Percent of Drivers or Motorcycle Operators Speeding by Vehicle Category and Crash Type, 2021 \n \n25% 23% \n \n20% \n15% \n15% \n \n10% \n \n5% \n \n3% \n \n12% 9% 4% \n \nMotorcycle Passenger Vehicles Large Trucks \n11% \n3% 2% \n \n0% \n \nFatal Crashes Serious Injury Crashes \n \nAll Traffic Crashes \n \nPassenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles. Source: FARS 2021, CODES 2021 \n \nMoreover, compared to other age groups, motorcycle operators 25-to-34 years represented a greater proportion of motorcycle operators involved in speed-related crashes, speed-related serious injury crashes, and speed-related fatal crashes compared to other age groups. \n \nPage 11 \n \n ALCOHOL INVOLVEMENT AMONG MOTORCYCLISTS \nAlcohol involvement is defined as whether alcohol was consumed by the motorcycle operator before the crash; the presence of alcohol may or may not be a contributing factor in the crash. Under Georgia law it is a rebuttable presumed criminal offense to operate a motor vehicle at or above a 0.08 grams per deciliter (g/dL) blood alcohol concentration (BAC) tested via blood, breath, or urine. However, impairment occurs when the driver's ability to safely operate a motor vehicle is compromised--this can be above or below the Georgia legal limit of .08 g/dL. Georgia law states drivers cannot operate a moving vehicle while under the influence of alcohol to the extent that it is less safe to drive.10 Under this law, drivers can be cited and convicted of impaired driving even with a BAC below 0.08 g/dL. \nAcross the 4,174 Georgia motorcycle operators involved in crashes in 2021, less than 5 percent were either confirmed or suspected of alcohol impairment-- 102 motorcycle operators were confirmed of alcohol impairment, and an additional 121 motorcycle operators were suspected of alcohol impairment. Of those motorcycle operators suspected of alcohol impairment, many did not have a BAC value reported in the police crash report; however, they were administered an alcohol test. \nThe number of motorcycle operators involved in a fatal crash with a positive BAC (0.01+ g/dL) nearly doubled, from 23 in 2019 to 45 in 2021. These motorcycle operators may or may not have been fatally injured in the crash. Table 14 shows motorcycle operators involved in a fatal crash by BAC from 2017-2021. In 2021: \n 22 percent of motorcycle operators had a BAC of 0.00 or no alcohol.  6 percent of motorcycle operators had a BAC between 0.01 and 0.07.  17 percent of motorcycle operators had a BAC of 0.08 or above.  56 percent of motorcycle operators had an unknown or unreported BAC. \n \nTable 14. Motorcycle Operators Involved in a Fatal Crash by BAC, 2017-2021 \n \nYear \n \nMotorcycle Operators \n \nBAC .00 g/dL Number Percent \n \nBAC .01-.07 g/dL BAC .08+ g/dL Number Percent Number Percent \n \nUnknown / Unreported \nNumber Percent \n \n2017 \n \n142 \n \n43 \n \n30% \n \n4 \n \n3% \n \n19 \n \n13% \n \n76 \n \n54% \n \n2018 \n \n158 \n \n54 \n \n34% \n \n10 \n \n6% \n \n22 \n \n14% \n \n72 \n \n46% \n \n2019 \n \n174 \n \n61 \n \n35% \n \n4 \n \n2% \n \n22 \n \n13% \n \n87 \n \n50% \n \n2020 \n \n196 \n \n45 \n \n23% \n \n11 \n \n6% \n \n25 \n \n13% \n \n115 \n \n59% \n \n2021 \n \n198 \n \n43 \n \n22% \n \n11 \n \n6% \n \n34 \n \n17% \n \n110 \n \n56% \n \nNote: Motorcycle operators may or may not have been fatally injured in the crash. BAC .00 g/dL means no alcohol present. BAC .01- .07 g/dL means some alcohol is present, and the driver is below the Georgia legal limit. BAC .08+ g/dL means alcohol is present, and the driver is above the Georgia legal limit. Source: FARS 2017-2021 \n \nFor additional information, see the Appendix for the percentage of motorcycle operators involved in motor vehicle crashes confirmed or suspected of alcohol impairment by county for 2021. \n \n10 O.C.G.A.  40-6-391(a)(1) \n \nPage 12 \n \n Motorcycle Licensure \u0026 Vehicle Registration \nMotorcycle operators with a Class M license or a Class M Instructional Permit (MP) have a valid license to operate a motorcycle or motor-driven cycle in Georgia legally. Across the decade, drivers with a Class M license only, Class MP license only, or a Class M status assigned to another license type consistently represented about 6 percent of all licensed drivers. Between 2020 and 2021:  Licenses with Class M designations (Class M \nonly or Class M with other license classes) decreased by 3 percent.  Licenses with Class MP designations decreased by 9 percent. \nAccording to the Department of Driver Services (DDS), approximately 8,640 individuals completed the Georgia Motorcycle Safety Program in FY2021. The program teaches crash-avoidance skills to motorcycle riders of various experience levels. Despite the statewide reach of the Motorcycle Safety Program, 47 percent of motorcycle operators involved in a traffic crash in 2021 were either unlicensed or did not have a valid designation on their driver's license--a net 1-point increase compared to 2020. \nMotorcycles consistently represent two percent of all registered vehicles in Georgia. According to the Department of Revenue 2021 vehicle registration, the most common motorcycles registered in Georgia were manufactured by Harley-Davidson Motor Company (39 percent of all registered motorcycles), Suzuki Motor of America (9 percent), and Yamaha Motor Company (9 percent). Among the motorcycle body classifications identified by NHTSA vPIC, motorcyclist fatalities were more frequent on sports motorcycles (38 percent), followed by touring motorcycles (19 percent), custom motorcycles (16 percent), and cruisers (12 percent). \n \nTable 15., 2020-2021 Percent Change in \n \nMotorcycle Licensure, License Status for \n \nMotorcyclists Involved in Crashes, and \n \nMotorcycle Registration \n \nMeasure \n \n2019-2020 \nPercent Change \n \nAll Georgia Licensed Drivers / Operators \n \nTotal Class M / MP \n \n-3% \n \nClass M \n \n-3% \n \nClass MP \n \n-9% \n \nOther License Class \n \n-4% \n \nMotorcycle Operator Involved in Crashes \n \nTotal Class M / MP \n \n\u003c 1% \n \nClass M \n \n-1% \n \nClass MP \n \n12% \n \nOther license Class not valid to operate a motorcycle \n \n17% \n \nNo license present or licensure status unknown \n \n2% \n \nRegistered Motorcycles \n \nAll Engine Sizes \n \n3% \n \nSource: DDS 2021, CODES 2021, DOR 2021 \n \nDespite the statewide reach of the Motorcycle Safety Program, \n47 percent \nof motorcycle operators involved in a traffic crash in 2021 were either unlicensed or did \nnot have a valid designation on their driver's licenses. \n \nPage 13 \n \n Demographics \nAge \nWhile older persons within the 55-to-64 age group have the highest proportion of properly licensed motorcyclists and motorcycle registrants, motorcyclists in the 25-to-34 age group have the highest involvement in crashes and receive a greater proportion of motorcycle-related convictions. Compared to drivers in other age groups, motorcycle operators aged 25-to-34 years represent 10 percent of all riders with a valid Class M or MP license; however, they also represented: \n 26 percent of motorcycle operators who sustained fatal and serious injuries;  25 percent of motorcycle operators involved in a traffic crash;  25 percent of motorcycle operators with invalid or no license credentials involved in a crash; and  30 percent of motorcycle operators with convictions reported to the Georgia Department of \nDriver Services. \n \nTable 16. Motorcycle Operator Fatalities, Motorcycle Crashes, Licensed Motorcyclists with a Class M or MP License, and Motorcycle Registrations, 2021 \n \nAge Group \nChildren \n(less than 15) \n15-24 15-20 21-24 \n25-34 35-44 45-54 55-64 65+ Unknown TOTAL \n \nMotorcyclists Fatalities and Serious Injuries \nOperator Passenger \n \n1% \n16% 7% 9% 26% 21% 16% 13% 6% 1% 974 \n100% \n \n3% \n9% 3% 6% 21% 25% 18% 6% 10% 9% 68 \n100% \n \nMotorcycle Operator Involved in Crashes \n1% \n18% 8% 10% 25% 18% 17% 12% 6% 4% 4,174 \n100% \n \nMotorcycle Operator \nConvictions \n1% \n33% 14% 19% 30% 18% 11% 6% 1% \n-359 \n100% \n \nLicensed Motorcyclists \nClass M / MP \n-- \n2% 1% 2% 10% 14% 21% 27% 25% -452,445 \n100% \n \nMotorcycle Registrants \n-- \n3% 1% 2% 11% 15% 24% 28% 17% 1% 212,788 \n100% \n \nSource: FARS 2021, CODES 2021, DDS 2021, DOR 2021 \n \nThe proportion of motorcycle operators involved in traffic crashes that are unlicensed or did not have the valid Class M/MP designation on their license decreases as the age group increases. Among motorcycle operators in the 25to-34 age group, only 43 percent had a valid Class M/MP license, 52 percent did not have the Class M/MP designation, and 5 percent were reported as unknown. \n \nFigure 6. Licensing Status of Motorcycle Operators Involved in Traffic Crashes by Age Group, 2021 \n \nValid License (Class M / MP) Improper or Unlicensed Unknown \n \n100% \n \n80% \n60% 76% \n \n50% \n \n52% \n \n53% \n \n44% \n \n43% \n \n31% \n \n40% \n \n20% 18% 0% 6% \n \n41% \n \nLess 15-24 \n \nthan 15 \n \n43% 41% 51% \n25-34 35-44 45-54 Age Group \n \n53% 55-64 \n \n65% 65+ \n \nSource: CODES 2021 \n \nPage 14 \n \n Sex \u0026 Race/Ethnicity \nIn 2021, 90 percent (3,747 out of 4,174) of the motorcycle operators involved in crashes were male, 6 percent (247 out of 4,174) were female, and four percent were unknown or unreported (180 out of 4,174). Eighty-two percent (219 out of 266) of the motorcycle passengers involved in crashes were female. \nWhite, Non-Hispanic motorcyclists represent the largest proportion of motorcycle operator fatalities (58 percent), hospital visits (62 percent), and emergency room visits (62 percent) compared to other racial/ethnic groups. Despite the higher counts of motorcyclist fatalities among the White racial demographic group, the total hospital and emergency room rates per 100,000 population among White and Black are nearly the same--44.9 for White and 42.2 for Black. The motorcycle operator fatality rate per population is also similar--2.0 for White, non-Hispanic, and 1.9 for Black, non-Hispanic. \n \nAllTerrain Vehicles \nAllTerrain Vehicles (ATVs) traffic-related crashes are defined as off-road recreational vehicles involved in a crash on public roadways. Between 2017 and 2021, ATVs riders (operators and passengers) represented 1 percent of all traffic fatalities--yearly fatality counts ranged from a low of 14 in 2016 and 2017 to a high of 26 in 2020. \nDuring the 5-year period (2017-2021), among the ATV rider fatalities were (in no particular order and mutually exclusive): \n 30 percent were in the 25-to-34 age group,  74 percent were male,  78 percent were un-helmeted,  65 percent were involved in single-vehicle crashes, and  72 percent were in rural counties. \n \nTable 17. ATV-Related Fatalities, Serious Injuries, and Involvement in Motor Vehicle Traffic Crashes, 2017-2021 \n \nYear 2017 \n \nFatalities \n \nNumber \n \nPercent of All Fatalities \n \n14 \n \n1% \n \nSerious Injuries \n \nNumber \n \nPercent of All Serious Injuries \n \n99 \n \n2% \n \nATV Riders in Traffic Crashes \n \nNumber 711 \n \nPercent of All Persons \u003c1% \n \n2018 \n \n14 \n \n1% \n \n43 \n \n1% \n \n381 \n \n\u003c1% \n \n2019 \n \n17 \n \n1% \n \n68 \n \n1% \n \n998 \n \n\u003c1% \n \n2020 \n \n26 \n \n2% \n \n114 \n \n1% \n \n803 \n \n\u003c1% \n \n2021 \n \n9 \n \n1% \n \n101 \n \n1% \n \n1,106 \n \n\u003c1% \n \nSource: FARS 20172021; CODES 2017-2021 \n \nPage 15 \n \n Data Definitions and Considerations: This fact sheet defines motorcyclists as either the rider (motorcycle operator) or passenger. A motorcycle includes two- or threewheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. A \"large truck\" is any medium or heavy truck, excluding buses and motor homes, and can include commercial and non-commercial vehicles. Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). Motorcycle registration data for 2020 was obtained from the Department of Revenue (DOR) by special request on the calendar year in lieu of the state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. A traffic crash is defined as an incident that involved one or more motor vehicles where at least one vehicle was in transport, and the crash originated on a public trafficway, such as a road or highway. Crashes that occurred on private property, including parking lots and driveways, are excluded. Fatal crashes are defined as crashes that involve a motor vehicle traveling on a trafficway customarily open to the public and that resulted in the death of a motorist or a non-motorist within 30 days of the crash. Serious injuries are those suspected serious injuries reported by law enforcement and used when any injury, other than fatal injury, prevents the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. The National Center for Health Statistics (NCHS), the Federal agency responsible for the use of the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) in the United States, has developed a clinical modification (CM) of the classification for morbidity (EMS, trauma, hospital, and ER data) purposes. ICD-10 Codes used were V20-V28 (.3 - .9), V29 (.4 - .9). For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of missing blood alcohol test results in the FARS data system. A multiple imputation methodology is employed to generate specific values of BAC for persons involved in fatal crashes. Many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. Contributing circumstances capture the precrash elements or improper actions of persons (motorcycle operators, pedestrians, bicyclists, and other motorists) that may have caused the crash. Contributing factors in fatal and nonfatal crashes are often underreported in the datasets. There is at least one record per person involved in a fatal crash (FARS Data) and some missing records for persons involved in motor vehicle traffic crashes (Crash Data). Rural counties are counties that have a population of less than 50,000 according to the United States decennial census of 2010 or any future such census (OCGA Section 31-6-2). This is different than roadway classifications, where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \"At Intersection\" is used when a person is on a roadway either (1) in the intersection, (2) in the area between a crosswalk and the perimeter of the intersection, or (3) in a crosswalk (marked or unmarked) adjacent to an intersection. \"Not at Intersection\" is when the person is more than 50 feet out from the perimeter of an intersection and the crash is not identified as related to the movement of vehicles through an intersection. \nPage 16 \n \n Additional Information: Other general information on motorcycle safety and traffic safety facts may be accessed at: \n Appendix: Motorcycles Georgia Traffic Safety Facts  https://www.gahighwaysafety.org/highway-safety/shsp/ \nOther traffic safety facts are available online at the Georgia Governor's Office of Highway Safety and Crash Outcomes Data Evaluation Systems (CODES): Risky Driving, Traffic Safety During the COVID-19 Public Health Emergency, Distracted Drivers, Occupant Protection, Non-Motorist (Pedestrians and Bicyclists), Motorcycle Safety, Young Adult Drivers, and Older Drivers. \n \nThe suggested APA format citation for this document is: \nGeorgia Crash Outcomes Data Evaluation System. (2023, May). Motorcycles: 2021 data. (Georgia Traffic Safety Facts). Atlanta, GA: Governor's Office of Highway Safety. \n \nReferences: \nNational Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results Traffic Safety Fact Research Note. (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812936 \nNational Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811433 \nNational Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812867 \n \nPage 17 \n \n Appendix \nMotorcycles Drivers Georgia Traffic Safety Facts \n(2021) \nThis document is the Appendix for the 2021 Motorcycles Georgia Traffic Safety Facts. Visit https://www.gahighwaysafety.org/highway-safety/shsp/ to access the full report. \nData Considerations: \n Alcohol-Related Crashes: For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of \nmissing blood alcohol test results in FARS data system. For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \n Motorcycle Registration: Motorcycle registration data for 2021 was obtained from the Department of Revenue (DOR) by special request \non the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \n Suspected Serious Injuries: Suspected serious injuries are reported by law enforcement and used when any injury, other than fatal injury, \nprevent the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \n \nMotorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2021 \n \nCounty Name \nSTATEWIDE Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts \n \nMotorcycle Crashes \n \nAll \n4,085 9 3 2 - \n10 8 5 \n66 6 5 \n96 8 5 4 \n15 27 17 12 \n \n% AlcoholRelated 6% 5% 17% 7% 13% 20% 7% 11% 18% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,440 \n \n848 (19%) \n \n10 \n \n20% \n \n3 \n \n- \n \n2 \n \n50% \n \n- \n \n- \n \n13 \n \n8% \n \n8 \n \n25% \n \n6 \n \n83% \n \n71 \n \n23% \n \n7 \n \n14% \n \n7 \n \n29% \n \n107 \n \n27% \n \n8 \n \n- \n \n6 \n \n- \n \n5 \n \n20% \n \n17 \n \n18% \n \n32 \n \n19% \n \n19 \n \n32% \n \n15 \n \n33% \n \nClass M / MP Licensed Drivers 452,445 \n702 219 412 106 1,503 1,509 4,847 7,568 583 920 4,304 675 904 610 2,991 3,011 958 1,833 \n \nMotorcycle Registrations \n212,788 287 121 189 39 746 786 \n2,795 3,531 \n280 500 1,948 333 386 276 1,436 1,355 534 900 \n \nPage 18 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2021 (con't) \n \nCounty Name \nSTATEWIDE Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur Dekalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth Franklin Fulton \n \nMotorcycle Crashes \n \nAll \n4,085 - \n11 4 \n44 18 \n4 197 \n8 97 41 121 1 248 10 12 46 7 66 3 10 8 23 8 239 5 4 28 68 1 23 5 3 4 33 30 61 63 19 452 \n \n% AlcoholRelated 6% 27% 7% 8% 9% 5% 2% 8% 30% 8% 11% 14% 8% 10% 13% 9% 25% 3% 7% 100% 22% 40% 67% 9% 3% 3% 6% 26% 2% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,440 \n \n848 (19%) \n \n- \n \n- \n \n11 \n \n45% \n \n5 \n \n40% \n \n50 \n \n32% \n \n20 \n \n30% \n \n5 \n \n40% \n \n221 \n \n24% \n \n- \n \n- \n \n12 \n \n25% \n \n106 \n \n13% \n \n42 \n \n19% \n \n- \n \n- \n \n129 \n \n32% \n \n1 \n \n- \n \n260 \n \n25% \n \n10 \n \n40% \n \n12 \n \n17% \n \n51 \n \n10% \n \n7 \n \n29% \n \n70 \n \n19% \n \n3 \n \n- \n \n10 \n \n30% \n \n8 \n \n- \n \n25 \n \n20% \n \n10 \n \n10% \n \n248 \n \n25% \n \n5 \n \n40% \n \n4 \n \n50% \n \n30 \n \n40% \n \n71 \n \n18% \n \n1 \n \n100% \n \n- \n \n- \n \n24 \n \n33% \n \n5 \n \n60% \n \n3 \n \n33% \n \n4 \n \n50% \n \n40 \n \n18% \n \n32 \n \n13% \n \n70 \n \n20% \n \n66 \n \n20% \n \n23 \n \n13% \n \n473 \n \n23% \n \nClass M / MP Licensed Drivers \n452,445 143 \n3,890 467 \n7,110 3,766 \n408 10,534 \n449 1,444 16,037 2,920 \n118 6,427 \n190 28,557 \n1,283 1,547 8,128 \n708 9,930 \n914 785 1,067 2,356 892 16,870 788 358 2,308 6,658 376 149 4,866 1,138 795 398 2,536 6,947 5,487 11,778 1,612 26,126 \n \nMotorcycle Registrations \n212,788 64 \n1,760 241 \n3,499 1,797 \n173 4,951 \n247 642 7,502 1,327 \n28 3,411 \n86 12,967 \n623 744 3,593 289 4,450 416 291 467 1,279 421 7,303 343 198 1,053 3,293 162 \n69 2,357 \n548 447 209 1,379 3,046 2,495 5,396 793 11,189 \n \nPage 19 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2021 (con't) \n \nCounty Name \nSTATEWIDE Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie McIntosh Meriwether Miller Mitchell Monroe Montgomery \n \nMotorcycle Crashes \n \nAll \n4,085 23 34 28 7 2 \n160 24 98 1 8 13 12 2 98 55 1 47 5 1 8 3 1 5 8 3 9 6 35 1 7 58 70 1 10 4 3 12 1 14 2 \n \n% AlcoholRelated 6% 9% 12% 14% 14% 3% 29% 11% 13% 15% 50% 3% 4% 2% 13% 20% 6% 10% 1% 100% 10% 25% 8% 7% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,440 \n \n848 (19%) \n \n24 \n \n29% \n \n- \n \n- \n \n36 \n \n33% \n \n31 \n \n23% \n \n8 \n \n13% \n \n2 \n \n- \n \n173 \n \n22% \n \n25 \n \n20% \n \n107 \n \n18% \n \n1 \n \n100% \n \n9 \n \n33% \n \n16 \n \n25% \n \n13 \n \n15% \n \n2 \n \n50% \n \n103 \n \n29% \n \n61 \n \n21% \n \n1 \n \n- \n \n60 \n \n25% \n \n6 \n \n33% \n \n1 \n \n- \n \n9 \n \n22% \n \n3 \n \n33% \n \n1 \n \n100% \n \n5 \n \n40% \n \n9 \n \n44% \n \n5 \n \n40% \n \n10 \n \n20% \n \n6 \n \n17% \n \n38 \n \n18% \n \n1 \n \n100% \n \n7 \n \n14% \n \n61 \n \n8% \n \n73 \n \n16% \n \n1 \n \n100% \n \n11 \n \n9% \n \n- \n \n- \n \n4 \n \n25% \n \n4 \n \n25% \n \n16 \n \n25% \n \n- \n \n- \n \n1 \n \n- \n \n15 \n \n40% \n \n2 \n \n50% \n \nClass M / MP Licensed Drivers \n452,445 2,906 124 4,315 3,681 934 900 \n27,146 3,029 \n10,643 290 \n2,226 2,866 1,580 \n887 11,592 \n8,725 407 \n4,932 1,121 \n470 503 227 271 1,661 1,408 460 1,942 1,862 3,336 470 1,041 5,027 2,592 385 1,874 436 969 748 1,441 203 635 1,975 329 \n \nMotorcycle Registrations \n212,788 1,383 49 1,826 1,890 507 358 \n13,099 1,432 5,182 147 1,112 1,215 791 419 5,632 3,833 158 2,463 601 211 225 108 124 785 634 235 895 765 1,725 194 518 2,443 1,522 169 856 180 524 334 710 95 304 855 161 \n \nPage 20 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2021 (con't) \n \nCounty Name \nSTATEWIDE Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs Towns Treutlen Troup Turner Twiggs Union Upson Walker \n \nMotorcycle Crashes \n \nAll \n4,085 9 9 \n85 54 10 \n6 58 13 25 \n3 6 16 3 4 14 108 36 2 1 1 35 14 2 7 3 1 8 2 1 2 15 18 8 14 35 2 5 30 18 23 \n \n% AlcoholRelated 6% 22% 11% 4% 9% 9% 4% 33% 6% 21% 5% 3% 21% 14% 33% 7% 6% 25% 6% 20% 3% 11% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,440 \n \n848 (19%) \n \n9 \n \n33% \n \n11 \n \n36% \n \n88 \n \n16% \n \n59 \n \n34% \n \n10 \n \n10% \n \n6 \n \n17% \n \n67 \n \n25% \n \n16 \n \n13% \n \n29 \n \n21% \n \n3 \n \n33% \n \n8 \n \n50% \n \n19 \n \n42% \n \n3 \n \n33% \n \n4 \n \n50% \n \n- \n \n- \n \n16 \n \n31% \n \n- \n \n- \n \n122 \n \n14% \n \n38 \n \n21% \n \n2 \n \n- \n \n1 \n \n- \n \n1 \n \n100% \n \n38 \n \n32% \n \n16 \n \n31% \n \n2 \n \n50% \n \n7 \n \n29% \n \n3 \n \n- \n \n2 \n \n- \n \n9 \n \n22% \n \n2 \n \n- \n \n1 \n \n- \n \n2 \n \n50% \n \n18 \n \n22% \n \n19 \n \n47% \n \n9 \n \n33% \n \n16 \n \n38% \n \n- \n \n- \n \n40 \n \n18% \n \n2 \n \n- \n \n7 \n \n43% \n \n31 \n \n45% \n \n21 \n \n43% \n \n25 \n \n24% \n \nClass M / MP Licensed Drivers \n452,445 1,260 2,335 7,529 5,632 1,936 948 \n10,130 1,406 2,936 911 1,793 2,644 401 1,301 191 1,325 200 5,301 3,876 264 579 421 3,766 1,996 130 985 376 88 835 403 350 355 1,723 1,546 1,051 1,245 256 3,645 348 468 2,994 1,802 4,083 \n \nMotorcycle Registrations \n212,788 686 \n1,301 2,970 2,962 \n790 395 4,627 628 1,640 346 826 1,295 216 573 \n42 703 \n68 3,031 1,888 \n100 234 177 1,696 902 \n64 435 157 \n38 392 170 163 186 824 695 508 589 156 1,499 148 219 1,633 765 2,194 \n \nPage 21 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2021 (con't) \n \nCounty Name \nSTATEWIDE Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth \n \nMotorcycle Crashes \n \nAll \n4,085 39 17 4 4 11 1 2 32 49 2 2 3 10 \n \n% AlcoholRelated 6% 13% 6% 25% 36% 9% 10% 20% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,440 \n \n848 (19%) \n \n43 \n \n16% \n \n19 \n \n5% \n \n4 \n \n25% \n \n4 \n \n25% \n \n13 \n \n23% \n \n1 \n \n- \n \n2 \n \n50% \n \n37 \n \n27% \n \n54 \n \n17% \n \n2 \n \n100% \n \n2 \n \n50% \n \n3 \n \n- \n \n10 \n \n60% \n \nClass M / MP Licensed Drivers \n452,445 5,970 1,460 181 678 1,368 104 175 2,374 4,628 303 486 438 1,032 \n \nMotorcycle Registrations \n212,788 2,910 538 75 306 631 49 81 1,266 2,316 125 199 208 494 \n \nPage 22 \n \n "},{"id":"dlg_ggpd_1391017351-2022-06","title":"Motorcycles (Georgia Governor's Office of Highway Safety), 2020","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":null,"dc_date":["2022-06"],"dcterms_description":["2019 has appendix available as separate document: Motorcycles drivers Georgia traffic safety facts.","2019 (harvested on February 8, 2022 from gahighwaysafety.org); title from PDF caption (Georgia Government Publications database, viewed June 30, 2023).","2019 Appendix (harvested on February 8, 2022 from gahighwaysafety.org); (Georgia Government Publications database, viewed June 30, 2023)."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, GA : Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals.","Motorcycling accidents","Georgia","Georgia Government Documents--Serial"],"dcterms_title":["Motorcycles (Georgia Governor's Office of Highway Safety), 2020"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_1391017351-2022-06"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_1391017351-2022-06"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Georgia Traffic Safety Facts \n2020 Data \n \nJune 2022 \nIn this fact sheet, information is presented as follows. \n Motorcyclist Fatalities and Serious Injuries - Motorcyclists Fatalities - Motorcyclists Serious Injuries - Helmet Use \n Crash Characteristics - Urban vs. Rural - Environmental Characteristics \n Contributing Circumstances - Speeding - Alcohol Involvement \n Motorcycle Licensure \u0026 Vehicle Registration \n Demographics \nThis fact sheet contains information from the Fatality Analysis Reporting System (FARS), Georgia Department of Transportation (GDOT) crash data modified by Crash Outcomes Data Evaluation System (CODES) at the Department of Public Health (DPH), Georgia Department of Driver Services (DDS), Georgia Department of Revenue (DOR), Georgia Emergency Medical Services Information System (GEMSIS), Hospital Discharge Data, Emergency Room Data, and the Georgia Trauma Registry. \nGovernor's Office of Highway Safety \n7 MLK. Jr Dr SE Suite #643 Atlanta, GA 30334 (404) 656-6996 www.gahighwaysafety.org \n \nMotorcycles \nAs defined in this fact sheet, a motorcyclist is a general term to refer to either the rider (motorcycle operator) or passenger. A motorcycle includes two- or three-wheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. \n2020 Key Findings \n There were 192 motorcyclist fatalities that occurred in motor vehicle traffic crashes on Georgia roadways  the largest number of motorcyclist fatalities experienced in the past decade. \n Motorcycles consistently represent 2 percent of all registered vehicles and are involved in 1 percent of all motor vehicle crashes in Georgia. Motorcycle operators also represent 6 percent of all licensed drivers, but 21 percent of all driver fatalities. \n Among all the traffic-related fatalities and serious injuries involving motorcyclists, 97 percent were riding on a motorcycle, and 3 percent were occupants of other vehicles or non-motorists. \n Helmet use (90%) among Georgia motorcyclists involved in a crash resulted in an estimated 103 lives saved. \n The majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in Atlanta Region and rural counties in the northeast along the North Carolina, South Carolina, and Alabama borders. \n Nearly half (46 percent) of motorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash. \n Motorcycle operators losing control is the top contributing factor among motorcyclists involved in single-vehicle crashes--53 percent of operators lost control of their motorcycle moments before colliding with another object that was not another vehicle. \n The total motorcycle-related hospitalization and emergency room charges in Georgia was $230.5 million. \n Motorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of police-reported suspected serious injuries, EMS transports, trauma care, emergency room visits, and hospitalizations compared to motorcyclists in other age groups. \n \nPage 1 \n \n Motorcyclist Fatalities and Serious Injuries \n \nMotorcyclist Fatalities \nIn 2020, there were 1,664 fatalities that occurred in motor vehicle traffic crashes on Georgia roadways  the largest number of traffic fatalities since 2006. The 192 motorcyclist fatalities that occurred in 2020 represented 12 percent of all traffic fatalities (Figure 1) and is the highest number of motorcyclist fatalities experienced in the past decade. Between 2019 and 2020: \n Motorcycle registrations increased by 2 percent, from 203,343 to 206,834. \n Motorcyclist fatalities increased by 13 percent, from 170 to 192. \n The rate of motorcycle fatalities increased by 11 percent, from 83.6 to 92.8 motorcycle fatalities per 100,000 motorcycle registrations. \nTable 1 presents the number of total traffic fatalities, Georgia motorcycle registrations, and motorcyclist fatalities from 2011 to 2020. \nMotorcyclist Injuries \nThe following section describes various responses to serious injuries experienced by motorcyclists involved in motor vehicle traffic crashes. Injured motorcyclists can be counted multiple times for each response (e.g., an injured person may be counted as a hospital and/or trauma center patient). The various responses to injuries are described in Table 2. \n \nFigure 1. Rate and Percent of Motorcyclist Fatalities, 2011-2020 \n \nRate per 100,000 Registrations \n \n14% \n \nPercent of All Traffic Fatalities \n \n12% 12% \n10% \n \n11% \n \n10% \n \n12% \n \n11% \n \n8% \n \n75.3 \n6% \n \n66.6 \n \n58.2 \n \n68.7 \n \n76.1 \n \n4% \n \n11% 86.2 \n \n9% 68.2 \n \n10% 75.6 \n \n11% 83.6 \n \n120.0 \n12% 100.0 \n92.8 80.0 \n6 0. 0 \n4 0. 0 \n \n2% \n \n2 0. 0 \n \n0% \n \n0.0 \n \n2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 \n \nSource: FARS 20112020; FY2014-FY2019 DOR Annual Reports; DOR 2019-2020 \n \nTable 1. Rate and Percent of Motorcyclist Traffic Fatalities, 2011-2020 \n \nYear \n \nTotal Traffic Fatalities \n \nRegistered Motorcycles \n \nMotorcyclist Fatalities \n \nNumber Percent \nof All Traffic Fatalities \n \nRate \nper 100,000 Registrations \n \n2011 \n \n1,226 \n \n199,253 \n \n150 \n \n12% \n \n75.3 \n \n2012 \n \n1,192 \n \n201,206 \n \n134 \n \n11% \n \n66.6 \n \n2013 \n \n1,180 \n \n199,287 \n \n116 \n \n10% \n \n58.2 \n \n2014 \n \n1,164 \n \n199,445 \n \n137 \n \n12% \n \n68.7 \n \n2015 \n \n1,432 \n \n199,796 \n \n152 \n \n11% \n \n76.1 \n \n2016 \n \n1,556 \n \n199,504 \n \n172 \n \n11% \n \n86.2 \n \n2017 \n \n1,540 \n \n203,783 \n \n139 \n \n9% \n \n68.2 \n \n2018 \n \n1,504 \n \n203,639 \n \n154 \n \n10% \n \n75.6 \n \n2019 \n \n1,491 \n \n203,343 \n \n170 \n \n11% \n \n83.6 \n \n2020 \n \n1,664 \n \n206,834 \n \n192 \n \n12% \n \n92.8 \n \nNote: Motorcycle registrations include commercial and non-commercial motorcycles. \n \nSource: FARS 20112020; FY2014-FY2019 DOR Annual Reports; DOR 2019-2020 \n \nTable 2. Description of Traffic Injury Surveillance Data Sources \nTraffic Injury Surveillance Data Sources \nSuspected Serious Crash Injuries are reported by law enforcement responding to a motor vehicle crash scene. \n \nEmergency Medical Services include all ground and air transports to an emergency facility for patients who are injured and require medical care in the state of Georgia. \nTrauma Center patients are identified as those with serious injuries that meet specific criteria. The State of Georgia follows the identification and treatment guidelines established by the American College of Surgeons along with the Centers of Disease Control and Prevention (CDC) Field Triage Criteria. \nEmergency Room and Hospitalizations include Georgia resident discharges from Georgia non-federal acute care hospitals. Emergency room (ER) visits include individuals who were discharged directly from the ER. Hospitalizations include individuals who may have visited the emergency room. \n \nPage 2 \n \n Table 3 shows the number and percent change of motorcycle traffic-related serious injuries for each injury surveillance source. Most surveillance sources show an increase in motorcyclists with serious injuries. Between 2019 and 2020: \n Police-reported motorcyclists suspected injuries increased by 5 percent. \n The number of motorcyclists transported to a hospital facility by the Emergency Medical Services (EMS) increased by 11 percent. \n Motor vehicle traffic-related emergency room only visits involving motorcyclists decreased by 3 percent and hospitalizations increased 9 percent. \n Motorcyclist injuries treated by designated and non-designated Trauma Centers decreased by 8 percent. \n \nTable 3. Motorcyclists Traffic-Related Serious Injuries by Injury Surveillance Source, 2019-2020 \n \nInjury Surveillance Source \nPolice Crash Reports \n \n2019 793 \n \n2020 834 \n \n2019-2020 Percent Change \n+ 5% \n \nEmergency Medical Services \n \n2,069 \n \n2,300 \n \n+11% \n \nTrauma \n \n1,487 \n \n1,374 \n \n- 8% \n \nEmergency Department \n \n3,346 \n \n3,229 \n \n-3% \n \nHospital \n \n1,016 \n \n1,105 \n \n9% \n \nNote: All persons involved in a Georgia crash receive care in a Georgia Emergency Department or Hospital regardless of their state residency. EMS arrivals to motor vehicle traffic crashes with reported serious injuries and fatalities may or may not have resulted in transport to a medical facility. \nSource: CODES 2019- 2020, DPH Hospital Inpatient Discharge and Emergency Room Visit Data 20192020, GEMSIS 2019-2020, Georgia Trauma Registry 2019-2020 \n \nMotorcyclists aged 25-to-34 years have the highest proportions and rates (per 100,000 population) of policereported suspected serious injuries, EMS transports, trauma care, emergency room visits, and hospitalizations compared to motorcyclists in other age groups. Young motorcyclists ages 21-to-24 years have the highest rate of police-reported suspected serious injuries, EMS transports, and emergency room visits compared to other age groups. \n \nTable 4. Motorcyclists Traffic-Related Serious Injuries, Percent of Total Serious Injuries, and Rate per 100,000 Population by Age Group and by Injury Surveillance Source, 2020 \n \nAge Group \n\u003c15 15-24 \n \nPolice-Reported Suspected \nSerious Crash Injuries \n \n# \n \n% Rate \n \n12 1% 0.6 \n \n142 17% 9.7 \n \nEmergency Medical Services \n \n# \n \n% Rate \n \n46 2% 2.2 \n \n433 19% 29.7 \n \nTrauma Center Emergency Room \n \n# \n \n% Rate # \n \n% Rate \n \n15 1% 0.7 135 4% 6.6 \n \n219 16% 15.0 681 21% 46.7 \n \nHospitalizations \n \n# \n \n% Rate \n \n3 \n \n0% \n \n0.2 \n \n142 13% 9.7 \n \n15-20 54 \n \n6% \n \n6.1 \n \n188 \n \n8% \n \n21.2 \n \n98 \n \n7% 11.1 306 \n \n9% \n \n34.5 \n \n53 \n \n5% \n \n6.0 \n \n21-24 88 \n \n11% \n \n15.4 \n \n245 11% 42.9 121 \n \n9% \n \n21.2 375 \n \n12% \n \n65.6 \n \n89 \n \n8% \n \n15.6 \n \n25-34 35-44 45-54 55-64 65+ \n \n217 26% 14.4 628 27% 41.7 361 26% 24.0 885 27% 58.8 283 26% 18.8 \n \n160 19% 11.5 398 17% 28.5 251 18% 18.0 585 18% 41.9 215 19% 15.4 \n \n153 18% 11.0 379 16% 27.2 251 18% 18.0 494 15% 35.5 216 20% 15.5 \n \n93 11% 7.0 279 12% 21.1 191 14% 14.4 320 10% 24.2 166 15% 12.6 \n \n45 5% 2.9 133 6% 8.4 86 6% 5.5 129 4% \n \n8.2 \n \n80 \n \n7% \n \n5.1 \n \nTotal 834* 100% 7.8 2,300 100% 21.5 1,374 100% 12.8 3,229 100% 30.2 1,105 100% 10.3 \n \n*Includes twelve suspected serious injuries with unknown age Source: CODES 2020, DPH-OHIP Hospital Inpatient Discharge and Emergency Room Visit Only Data 2020, GEMSIS 2020, Georgia Trauma Registry 2020 \n \nPage 3 \n \n Suspected Serious Crash Injuries \n \nAccording to 2020 police crash reports, 4,138 motorcyclists (3,876 operators and 262 passengers) were involved in motor vehicle traffic crashes, and there were 834 suspected serious injuries among motorcyclists. In 2020, motorcyclists with police-reported suspected serious injuries increased by 18 percent from the 705 serious injuries in 2019. \n \nOut of the 3,786 crashes that involved motorcyclists, 58 percent were multi-vehicle crashes (involving other vehicles that were not a motorcycle vehicle body type), 40 percent were single vehicles (involving only one motorcyclist), and 2 percent were crashes involved two or more motorcycles. Sixty-two percent of motorcyclist serious injuries and 66 percent of all motorcyclist fatalities occurred in multiple-vehicle crashes. \n \nFigure 2 shows the percent of fatalities or serious injuries among all persons involved in crashes with at least one motorcyclist in 2020. Among all the serious injuries involving motorcyclists: \n 97 percent rode on a motorcycle (represented by purple in Figure 4). - 91 percent were the motorcyclist operator - 6 percent were motorcycle passengers \n 3 percent were occupants of other vehicles or nonmotorists (represented by blue in Figure 4). - 2 percent were occupants of vehicles that were not a motorcycle vehicle body type. - 1 percent were non-motorists (i.e., pedestrians or bicyclists). \nIn 2020, 11 percent (89 out of 841) of all motorcycle vehicles involved in serious injury crashes were multioccupant motorcycles (had at least two occupants-- operators and passengers--riding on a motorcycle). Passengers of motorcyclists are likely to obtain the same injuries as the motorcycle operators when they are involved in a traffic crash. This risk of a motorcycle operator obtaining a fatal or serious injury (0.70) was not statistically different from the risk of a motorcycle passenger obtaining a fatal injury (0.64).1 \nNearly three-quarters of all passengers on motorcycles involved in traffic crashes or serious injury crashes were female--most were in the 25-to-34 age group. Thirteen out of the 14 motorcycle passengers involved in fatal crashes were female. See Demographics section on page 14 for operator information. \n \nFigure 2. Percent of Persons Fatally or Seriously Injured in Crashes involving Motorcyclists by Person Type, 2020 \n \nOccupants of Other Vehicles 2% (17) \nMotorcycle Passengers \n6% (64) \n \nNon-Motorists 1% (8) \n \n852 Serious Injuries 199 Fatal Injuries \nSource: CODES 2020, FARS 2020 \n \nMotorcycle Operators 91% (962) \n \nTable 5. Serious and Fatal Injuries among \n \nMulti-Occupant Motorcycles by Person \n \nType, 2020 \n \nPerson Type \n \nFatal or Serious \n \nNo \n \nTotal \n \nInjuries \n \nInjury \n \nMotorcycle Passenger \n \n64 (64%) \n \n36 (36%) 100 \n \nMotorcycle Operator \n \n71 (70%) \n \n31 (30%) 102 \n \nSource: CODES 2020, FARS 2020 \n \n1 The relative risk of motorcycle passengers on multi-occupant motorcycles and involved in serious injury crashes obtaining a serious or fatal injury compared to motorcycle operators is 0.92 (CI:0.75-1.11)--statistically insignificant. \nPage 4 \n \n Emergency Medical Services \nIn 2020, the Emergency Medical Services (EMS) transported 2,300 motorcyclists involved in motor vehicle traffic crashes to a hospital facility--an 11 percent increase compared to 2,069 in 2019. Six percent of all motor vehicle traffic-related EMS transports involved motorcyclists. \nIn 2020, 84 percent (1,929 out of 2,300) of the motorcyclists transported by EMS were male. The rate of EMS transports per 100,000 population was 37.1 for male motorcyclists and 7.8 for female motorcyclists. Male motorcyclists in the 21-to-24 and 25-to-34 age groups had the highest rate of EMS transports compared to other age groups. The EMS transport rate for male motorcyclists was 72.2 for the 21-to-24 age group and 71.5 for the 25-to-34 age group. \n \nTrauma Center Patients \nAccording to the Georgia Trauma Registry data, motor vehicle traffic-related incidents (motor vehicle occupants, motorcyclists, pedestrians, and bicyclists) accounted for nearly one-third of all injuries treated by designated and non-designated Georgia Trauma Centers2 in 2020. In 2020, there were a total of 1,374 motorcyclists identified as trauma patients treated within Georgia Trauma Centers--an 8 percent decrease compared to 1,487 in 2019. Nearly one out of every three motorcyclists (31 percent) treated at the trauma centers had minor injuries, and 12 percent had very severe injuries. \n \nEmergency Room Visits \u0026 Hospitalizations \nIn 2020, there were 4,335 motor vehicle traffic-related emergency room visits and hospitalizations3 involving motorcyclists--a 1 percent decrease compared to 4,362 in 2019. Motorcyclists aged 25-to-34 years had the highest rate of emergency room visits and hospitalizations compared to other age groups  58.8 emergency room visits and 18.8 hospitalizations for every 100,000 population. The total motorcycle-related hospitalization and emergency room charges in Georgia was $230.5 million. \n \nIn 2020, the total motorcyclerelated hospitalization and emergency room charges in Georgia was \n$230.5 M \n \nHelmet Use \nSince 1969, Georgia's universal helmet law4 has never been repealed or changed. Three of the five bordering states (Tennessee, Alabama, and North Carolina) have also not repealed or changed their helmet law. Most other states have certain specifications for helmet use or no helmet law. The stability of Georgia's universal helmet law may contribute to the high helmet usage rate--estimated to be 97.8 percent across the state in 2021. \nIn 2020, nearly 9 out of 10 fatally injured motorcyclists in Georgia (87 percent) were reported wearing a helmet compared to 57 percent nationwide. Based on reported known helmet use, 17 percent of motorcyclists involved in crashes, 15 percent of motorcyclists with serious injuries, and 10 percent of motorcyclists fatally injured were un-helmeted. \n \n2 Not all hospitals are designated as Trauma Centers. 3 Some hospitalizations may include emergency room visit information if the individuals were admitted into the same facility. Emergency room visits only include individuals who were discharged directly from the ER. Hospitalizations and emergency room visits include Georgia residents only, while fatalities can be a person out-of-state. 4 O.C.G.A. 40-6-315 \nPage 5 \n \n Table 6. Motorcyclists Involved in Crashes, Serious Injuries, and Fatalities by Helmet Use, 2020 \n \nMotorcyclists \nMotorcyclists involved in crashes Motorcyclists with serious injuries Fatally injured motorcyclists \n \nTotal \n \nHelmeted \n \n# \n \n% \n \n4,138 3,220 78% \n \nUn-helmeted \n \n# \n \n% \n \n637 15% \n \nUnknown # % \n281 7% \n \n834 678 81% 121 15% 35 4% \n \n192 167 87% 18 \n \n9% \n \n7 4% \n \nPercent Based on Known Helmet Use \nHelmeted Un-helmeted \n \n83% \n \n17% \n \n85% \n \n15% \n \n90% \n \n10% \n \nSource: CODES 2020, FARS 2020 \n \nHelmet use among Georgia motorcyclists resulted in an estimated 103 lives saved5. If all Georgia motorcyclists had worn helmets, an additional seven lives would have been saved. Although not all crashes are survivable, helmet use is still an effective means of preventing fatalities. According to the National Center for Statistics and Analysis, helmets are estimated to be 37 percent effective in preventing fatalities for motorcycle operators and 41 percent for motorcycle passengers.6 \"In other words, for every 100 motorcycle [operators] killed in crashes while not wearing helmets, 37 of them could have been saved had all 100 worn helmets.\" NHTSA estimates that Georgia saved $116 million in economic costs because of helmet use in 20177. \n \nHelmet use among Georgia motorcyclists resulted in an estimated 103 lives saved. Although not all crashes are survivable, helmet use is still an effective means of preventing fatalities. An additional 37 for every 100 motorcyclists fatally injured could have been saved if they had \nall worn helmets. \n \nCrash Characteristics \nAccording to the police crash reports, there were 3,786 motor vehicle traffic crashes that involved at least one motorcycle in 2020--a 4 percent decrease compared to 3,948 motorcycle crashes that occurred in 2019. Despite the decrease in motorcycle crashes, the number of crashes where a motorcyclist was seriously or fatally injured increased by 18 percent and 10 percent, respectively. Table 8 shows the number of motorcyclist traffic crashes, serious injury crashes, and fatal crashes between 2016 and 2020. \n \nTable 7. Motorcycle (MC) Traffic Crashes, Serious Injury Crashes, and Fatal Crashes, 2016-2020 \n \nYear \n \nMC Fatal Crashes \n \nMC Serious \n \nMC \n \nInjury Crashes Crashes \n \n2016 \n \n167 \n \n1,020 \n \n4,498 \n \n2017 \n \n138 \n \n955 \n \n4,158 \n \n2018 \n \n151 \n \n573 \n \n3,121 \n \n2019 \n \n168 \n \n686 \n \n3,948 \n \n2020 \n \n185 \n \n808 \n \n3,786 \n \nSource: CODES 2016- 2020, FARS 2016-2020 \n \n5 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. 6 National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. 7 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. \nPage 6 \n \n Urban vs. Rural8 \nIn 2020, there were 1,830.5 motorcycle crashes for every 100,000 motorcycle registrations statewide (Table 8). Motorcycle crashes are more frequent in urban areas than in rural areas. \n The Atlanta Region accounted \nfor 37 percent (1,407 out of 3,786) of all motorcycle crashes and 33 percent of all motorcycle registrations. \n Other urban counties accounted \nfor 40 percent (1,517 out of 3,786) of all motorcycle crashes and 40 percent of all motorcycle registrations. \n \nTable 8. Motorcycle Crashes, Motorcycle Registrations, and Motorcycle Crash Rate by Region Type, 2020 \n \nRegion \n \nMotorcycle Crashes \nNumber Percent \n \nRegistered Motorcycles \n \nNumber \n \nPercent \n \nMotorcycle Crash Rate \nper 100,000 Registrations \n \nAtlanta Region9 \n(10 counites) \n \n1,407 \n \n37% \n \n68,314 \n \n33% \n \n2,059.6 \n \nOther Urban \n(31 counties) \n \n1,517 40% 83,365 \n \n40% \n \n1,819.7 \n \nRural Counties \n(118 counties) \n \n862 \n \n23% \n \n55,155 \n \n27% \n \n1,562.9 \n \nStatewide \n \n3,786 100% 206,834 100% \n \n1,830.5 \n \nSource: CODES 2020, DOR 2020 \n \nTable 9 below shows the percent of motorcycle crashes by region and roadway classification in 2020. Most motorcycle crashes statewide occurred on minor arterial roadways (27 percent) and local \nroadways (24 percent). \n The Atlanta Region experienced more motorcycle crashes on minor arterial roadways (11 \npercent) compared to any other roadways classification in the region. \n Other urban counties experienced more motorcycle crashes on minor arterial roadways \n(11 percent) and local roads (11 percent). \n Rural counties experienced more motorcycle crashes on collector roads (roads that \nconnect local roads and streets)--7 percent. Three percent of all traffic crashes and 7 percent of motorcycle crashes were on collectors in rural counties. \n \nTable 9. Motor Vehicle Traffic Crashes Involving Non-Motorists by Region and Roadway Classification, 2020 \n \nRoadway Classification \n \nAtlanta Region \n \nOther Urban Counties \n \nRural Counties \n \nStatewide \n \nInterstate \n \n4% \n \n2% \n \n1% \n \n7% \n \nPrincipal Arterial \n \n7% \n \n10% \n \n5% \n \n22% \n \nMinor Arterial \n \n11% \n \n11% \n \n5% \n \n27% \n \nCollectors \n \n4% \n \n6% \n \n7% \n \n17% \n \nLocal \n \n9% \n \n11% \n \n5% \n \n24% \n \nOther \n \n1% \n \n-- \n \n-- \n \n1% \n \nAll Roadways \n \n37% \n \n40% \n \n23% \n \n100% \n \nNote: The sum of the individual cells may not equal row or column totals due to rounding error. Totals include MC crashes with \n \nunknown roadway classification Source: Numetric 2020 \n \n8 Rural counties are counties that have a residential population less than 50,000 persons. This is different than roadway classifications where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. 9 The Atlanta Region includes the ten counties that are defined by the Atlanta Regional Commission (ARC): Cherokee, Clayton, Cobb, DeKalb, Douglas, Fayette, Fulton, Gwinnett, Henry, and Rockdale counties. \nPage 7 \n \n Figure 3 shows the motorcycle crash rate for counties with ten or more motorcycle crashes in 2020 and their deviation from the statewide percent of motorcycle crash rate (1,830.5 motorcycle crashes for every 100,000 motorcycle registrations). \nThe majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in Atlanta Region and rural counties in the northeast along the North Carolina, South Carolina, and Alabama border. Nine percent of all motorcycle operators involved in Georgia traffic crashes had a license from another state  five percent were licensed from a bordering state (Alabama, Florida, North Carolina, South Carolina, or Tennessee). \n \nFigure 3. Motorcycle (MC) Crashes per 100,000 MC Registrations for Counties with 10+ MC Crashes, 2020 \nMotorcycle Crashes per 100,000 Motorcycle Registrations \n400 - 4,349 4,350 - 1,799 1,800 - 2,149 2,150 + \nStatewide crash rate is 1,830.5 motorcycle crashes per 100,000 motorcycle registrations \nSource: CODES 2020 \n \nThe most motorcycle serious injury and fatal crashes occurred within the four counties of the Atlanta Region  Fulton, Cobb, Dekalb, and Gwinnett counties. However, Lumpkin County has the highest motorcycle serious injury and fatal crashes per 100,000 motorcycle registrations. Rural counties have the highest rate of motorcycle crashes for every 1,000 motor vehicle crashes that occur in the county-- particularly in Clay, Charlton, Franklin, and Irwin counties. \n \nTable 10. Top Counties with 10+ MC Crashes and the Highest Motorcyclists Serious Injury and \n \nFatal Crashes and Motorcycle Crash Rate, 2020 \n \nMotorcyclist Serious Injuries and Fatalities Crashes \n \nAll Motorcycle Crashes \n \nRank \n \nCount \n \nRate \n \nRate \n \nper 100,000 MC Registration per 100,000 MC Registrations \n \nRate per 1,000 MV Crashes \n \nCounty \n \nNumber County \n \nRate \n \nCounty \n \nRate \n \nCounty \n \nRate \n \n1 Fulton \n \n85 Laurens \n \n1,283.5 Lumpkin \n \n4,357.0 Lumpkin \n \n73.6 \n \n2 Cobb \n \n63 Murray \n \n1,037.5 Bibb \n \n3,981.1 Lincoln \n \n55.6 \n \n3 Dekalb \n \n61 Crisp \n \n1,034.5 Chatham \n \n3,745.9 Towns \n \n51.0 \n \n4 Gwinnett \n \n58 Clayton \n \n1,000.0 Rabun \n \n3,511.5 Rabun \n \n46.5 \n \n5 Chatham \n \n41 Bibb \n \nSource: CODES 2020; OASIS 2020 ; FARS 2020 \n \n995.3 Peach \n \n3,376.2 Pulaski \n \n44.2 \n \nSee the \"Additional Information\" to access the Appendix for this document. The Appendix includes the following information by county: Motorcycle Crashes  Motorcycle Registrations  Motorcycle Licensed \nOperators  Suspected Serious Injuries and Fatalities  Suspected and Confirmed Motorcycle Operator Alcohol Involvement. \n \nPage 8 \n \n Environmental Characteristics \nTable 11 summarizes the environmental characteristics of where and when motorcycle fatal crashes and traffic crashes occurred in 2020. Most motorcycle fatal crashes and traffic crashes occurred in non-intersection areas of the roadway and in clear weather conditions. However, there are differences in other environmental characteristics between motorcyclist fatal crashes and motorcycle traffic crashes that may or may not have injured persons. \n 45 percent of all motorcycle fatal crashes occur in dark conditions, whereas 71 percent of all motorcycle crashes occur in daylight conditions. \n 30 percent of all motorcycle fatal crashes occur during the nighttime hours (6:00 p.m. to 5:59 a.m.) during the weekend, whereas 37 percent of all motorcycle crashes occur during the daytime hours (6:00 a.m. to 5:59 p.m.) on the weekday. \n 33 percent of all fatal crashes occur during the fall season, whereas 31 percent of all crashes occur during the summer season. \n \nTable 11. Motor Vehicle Crashes Involving Motorcyclists by \n \nEnvironmental Characteristics, 2020 \n \nEnvironmental Characteristics \n \nMotorcycle \n \nMotorcycle \n \nFatal Crashes Traffic Crashes \n \nNumber Percent Number Percent \n \nLocation * Intersection (or related) \nNon-Intersection \n \n77 \n \n42% \n \n1,381 \n \n36% \n \n108 \n \n58% \n \n1,764 \n \n47% \n \nOther \n \n-- \n \n-- \n \n641 \n \n17% \n \nLight Conditions \n \nDark Daylight \n \n83 \n \n45% \n \n953 \n \n25% \n \n91 \n \n49% \n \n2,685 \n \n71% \n \nDawn \n \n4 \n \n2% \n \n48 \n \n1% \n \nDusk \n \n7 \n \n4% \n \n81 \n \n2% \n \nDay of Week / Time of Day * \n \nWeekday \n \n92 \n \nNighttime \n \n41 \n \nDaytime \n \n51 \n \nWeekend \n \n93 \n \nNighttime \n \n56 \n \nDaytime \n \n37 \n \nWeather Conditions \n \n50% 22% 28% 50% 30% 20% \n \n2,121 710 \n1,411 1,665 \n778 887 \n \n56% 19% 37% 44% 21% 23% \n \nClear \n \n141 \n \n76% \n \n2,991 \n \n79% \n \nCloudy \n \n35 \n \n19% \n \n632 \n \n17% \n \nRain \n \n8 \n \n4% \n \n130 \n \n3% \n \nOther Season \n \n1 \n \n1% \n \n33 \n \n1% \n \nWinter \n \n29 \n \n16% \n \n510 \n \n13% \n \nSpring \n \n46 \n \n25% \n \n1,007 \n \n27% \n \nSummer \n \n49 \n \n26% \n \n1,167 \n \n31% \n \nFall \n \n61 \n \n33% \n \n1,102 \n \n29% \n \nWeekday  6:00 a.m. Monday to 5:59 p.m. Friday \n \nWeekend  6:00 p.m. Friday to 5:59 a.m. Monday \n \nDaytime  6:00 a.m. to 5:59 p.m. \n \nNighttime  6:00 p.m. to 5:59 a.m. \n \n*See data considerations for definitions of intersection and non-intersection locations \n \nSource: CODES 2020, FARS 2020 \n \nIn 2020, more motorcyclist fatal crashes occurred in the October and August months. Figure 4 shows the percentage of motorcyclist fatal crashes by season, month, and time of day. \n \nFigure 4. Motorcyclist Fatal Crashes by Season, Month, and Time of Day, 2020 \n \n15% Daytime (6:00 a.m. 5:59 p.m) Nighttime (6:00 p.m.  5:59 a.m) \n \n52% 48% (87) (88) All Seasons \n \n10% \n \n8% \n \n5% \n1% 3% \n0% \n \n3% 3% \n \n3% 4% \n \n4% 5% \n \n4% 4% \n \n3% 2% \n \n5% 3% \n \n9% 4% \n \n5% 5% \n \n6% \n \n5% 5% \n \n3% 4% \n \nJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec \n \nWinter \n \nSpring \n \nSummer \n \nFall \n \nWinter \n \nNote: Nighttime and daytime groupings are based on the time of day in hours. The time-groupings do not consider the change in lighting conditions associated with the seasons (i.e., extended or longer daylight hours in the summer). Source: FARS 2020 \n \nPage 9 \n \n Contributing Circumstances \nIn 2020, 60 percent of all motorcycle crashes involved two or more vehicles (multi-vehicle crashes), and 40 percent were single-vehicle motorcycle crashes. The most harmful event in motorcycle crashes was collisions with other motor vehicles in transport for multi-vehicle crashes and the overturn of the motorcycle (non-collision related) for single-vehicle crashes. \nPassenger vehicles10 were more frequently involved in crashes with motorcyclists compared to other vehicle types. The most common manner of collision in multi-vehicle crashes involving motorcycles were angle and rear-end crashes. The manner of collision is not vehicle specific and does not identify which vehicle or driver was at fault. Table 5 below shows the highest rank manner of collision for multivehicle traffic crashes, injury crashes, and fatal crashes that involve a motorcyclist. \n \nTable 12. Highest Rank Manner of Collision for Multi-Vehicle Crashes involving Motorcyclist by Crash Type, 2020 \n \nRank \n \nFatal Crashes \n \nManner of Collision \n \n% of crashes \n \nSerious Injury Crashes \n \nManner of Collision \n \n% of crashes \n \nTraffic Crashes \n \nManner of Collision \n \n% of crashes \n \n1 Angle \n \n61% Angle \n \n56% Angle \n \n41% \n \n2 Rear end (Front-to-rear) \n \n16% \n \nRear end (Front-to-rear) \n \n17% \n \nRear end (Front-to-rear) \n \n31% \n \n3 Head on (Front-to-front) \n4 Not a collision with a motor vehicle \n \n9% \n \nHead on (Front-to-front) \n \n6% \n \nSideswipe same direction \n \n10% 8% \n \nSideswipe same direction \nNot a collision with a motor vehicle \n \n14% 6% \n \nSource: CODES 2020; FARS 2020 \n \nMotorcycle operators losing control is the top contributing factor among motorcyclists involved in singlevehicle crashes. In 2020, 53 percent of operators lost control of their motorcycle moments before they collided with another object that was not another vehicle. The top contributing factors among motorcycle operators involved in multi-vehicle crashes were following too closely (15 percent) and risky/aggressive driving (12 percent). The top factors for other drivers involved in multi-vehicle crashes with motorcyclists were failure to yield (25 percent) and following too closely (9 percent). This does not imply that the motorcycle operators or other drivers caused the crash either by their actions or failure to act. \n \nTable 13. Top Contributing Factors with Crashes involving Motorcyclists by Number of Vehicles Involved and Person Type, 2020 \n \nRank \n1 \n \nSingle Vehicle Crashes \n \nMotorcyclists \n \nDescription \n \n% of all operators \n \nOperator lost control \n \n53% \n \nTwo-Vehicle Crashes \n \nMotorcyclists Description \n \n% of all operators \n \nOther Driver Description \n \nFollowing too close \n \n15% Failed to yield \n \n% of all drivers \n25% \n \n2 Speeding \n \n19% Risky/aggressive driving \n \n12% Following too close \n \n9% \n \n3 Risky/aggressive driving \n \n8% Speeding \n \n8% Risky/aggressive driving \n \n8% \n \n4 Under the influence of alcohol and/or drug \n \n8% Driver lost control \n \n6% Improper Turn \n \n4% \n \nSource: CODES 2020; FARS 2020 \n \n10 Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \n \nPage 10 \n \n SPEEDING MOTORCYCLISTS \n \nDrivers are considered to be speeding if they were charged with a speeding-related offense or if a police officer indicated that racing, driving too fast for conditions, exceeding the posted speed limit, or evading police was a contributing factor in the crash. In 2020: \n 31 percent of all motorcyclists involved in fatal crashes were speeding; \n 16 percent of all motorcyclists involved in serious injury crashes were speeding; and, \n 12 percent of all motorcyclists involved in motor vehicle traffic crashes were speeding. \n \nTable 14. Number of Motorcycle Operators and Drivers Involved in Speeding-Related Crashes by Vehicle Category and Crash Type, 2020 \n \nVehicle Type Motorcycles \n \nFatal Serious Injury \n \nCrashes \n \nCrashes \n \n# \n \n% \n \n# \n \n% \n \n196 100% 840 100% \n \nAll Traffic Crashes \n \n# \n \n% \n \n3,876 100% \n \nSpeeding \n \n60 31% 135 16% \n \n484 12% \n \nNot-Speeding 136 69% 705 84% 3,392 88% \n \nOther Vehicles 2,169 100% 10,210 100% 598,987 100% \n \nSpeeding \n \n448 21% 799 \n \n8% 17,886 3% \n \nNot-Speeding 1,721 79% 9,411 92% 581,101 97% \n \nTOTAL \n \n2,365 \n \n11,050 \n \n602,863 \n \nSource: CODES 2020, FARS 2020 \n \nA greater proportion of motorcycle operators involved in fatal, serious injury, or motor vehicle crashes were speeding compared to other vehicle categories (Figure 5). In 2020: \n 31 percent of all motorcycle operators \ninvolved in fatal crashes were speeding  compared to 22 percent for passenger car drivers, and 8 percent for large-truck drivers. \n 16 percent of all motorcycle operators \ninvolved in serious injury crashes were speeding. \n 12 percent of all motorcycle operators \ninvolved in motor vehicle traffic crashes were speeding. \n \nFigure 5. Percent of Drivers or Motorcycle Operators Speeding by Vehicle Category and Crash Type, 2020 \n \n35% 31% \n \n30% \n \n25% \n \n22% \n \nMotorcycle Passenger Vehicles Large Trucks \n \n20% \n \n16% \n \n15% \n \n12% \n \n10% \n \n8% \n \n8% \n \n5% \n \n4% \n \n3% 2% \n \n0% \nFatal Crashes \n \nSerious Injury All Traffic Crashes Crashes \n \nSource: FARS 2020, CODES 2020 \n \nMoreover, compared to other age groups, motorcycle operators 25-to-34 years represented a greater proportion of motorcycle operators involved in speed-related crashes, speed-related serious injury crashes, and speed-related fatal crashes compared to other age groups. \n \nPage 11 \n \n ALCOHOL INVOLVEMENT AMONG MOTORCYCLISTS \nAlcohol involvement is defined as whether alcohol was consumed by the motorcycle operator before the crash; the presence of alcohol may or may not be a contributing factor in the crash. Under Georgia law it is a rebuttable presumed criminal offense to operate a motor vehicle at or above a 0.08 grams per deciliter (g/dL) blood alcohol concentration (BAC) tested via blood, breath, or urine. However, impairment occurs when the driver's ability to safely operate a motor vehicle is compromised--this can be above or below the Georgia legal limit of .08 g/dL. Georgia law states drivers cannot operate a moving vehicle while under the influence of alcohol to the extent that it is less safe to drive.11 Under this law, drivers can be cited and convicted of impaired driving even with a BAC below 0.08 g/dL. \nAcross the 3,876 Georgia motorcyclists involved in crashes in 2020, less than 5 percent were either confirmed or suspected of alcohol impairment-- 81 motorcycle operators were confirmed of alcohol impairment, and an additional 100 motorcycle operators were suspected of alcohol impairment. Of those motorcycle operators suspected of alcohol impairment, many did not have a BAC value reported in the police crash report; however, they were administered an alcohol test. \nThe number of motorcycle operators involved in a fatal crash with a positive BAC (0.01+ g/dL) increased by 38 percent, from 26 in 2019 to 36 in 2020. These motorcycle operators may or may not have been fatally injured in the crash. Table 14 shows motorcycle operators involved in a fatal crash by BAC from 2016-2020. In 2020: \n 23 percent of motorcycle operators had a BAC of 0.00 or no alcohol.  6 percent of motorcycle operators had a BAC between 0.01 and 0.07.  13 percent of motorcycle operators had a BAC of 0.08 or above.  59 percent of motorcycle operators had an unknown or unreported BAC. \n \nTable 15. Motorcycle Operators Involved in a Fatal Crash by BAC, 2016-2020 \n \nYear \n \nMotorcycle Operators \n \nBAC .00 g/dL Number Percent \n \nBAC .01-.07 g/dL BAC .08+ g/dL Number Percent Number Percent \n \nUnknown / Unreported \nNumber Percent \n \n2016 \n \n174 \n \n71 \n \n41% \n \n4 \n \n2% \n \n22 \n \n13% \n \n77 \n \n44% \n \n2017 \n \n142 \n \n43 \n \n30% \n \n4 \n \n3% \n \n19 \n \n13% \n \n76 \n \n54% \n \n2018 \n \n158 \n \n54 \n \n34% \n \n10 \n \n6% \n \n22 \n \n14% \n \n72 \n \n46% \n \n2019 \n \n174 \n \n61 \n \n35% \n \n4 \n \n2% \n \n22 \n \n13% \n \n87 \n \n50% \n \n2020 \n \n196 \n \n45 \n \n23% \n \n11 \n \n6% \n \n25 \n \n13% \n \n115 \n \n59% \n \nNote: Motorcycle operators may or may not have been fatally injured in the crash. BAC .00 g/dL means no alcohol present. BAC .01- .07 g/dL means some alcohol is present, and the driver is below the Georgia legal limit. BAC .08+ g/dL means alcohol is present, and the driver is above the Georgia legal limit. Source: FARS 2020 \n \nFor additional information, see the Appendix for the percentage of motorcycle operators involved in motor vehicle crashes confirmed or suspected of alcohol impairment by county for 2020. \n \n11 O.C.G.A.  40-6-391(a)(1) \n \nPage 12 \n \n Motorcycle Licensure \u0026 Vehicle Registration \nMotorcycle operators with a Class M license or a Class M Instructional Permit (MP) have a valid license to operate a motorcycle or motor-driven cycle in Georgia legally. Across the decade, drivers with a Class M license only, Class MP license only, or had a Class M status assigned to another license type consistently represented about 6 percent of all licensed drivers. Between 2019 and 2020:  Licenses with Class M designations (Class M \nonly or Class M with other licenses classes) increased by 9 percent  Licenses with Class MP designations increased by 19 percent \nAccording to the Department of Driver Services (DDS), approximately 5,700 individuals completed the Georgia Motorcycle Safety Program in FY2020. The program teaches crash-avoidance skills to motorcycle riders of various experience levels. Despite the statewide reach of the Motorcycle Safety Program, 46 percent of motorcycle operators involved in a traffic crash in 2020 were either unlicensed or did not have a valid designation on their driver's license--a net 5-point increase compared to 2019. \nMotorcycles consistently represent two percent of all registered vehicles in Georgia. According to the Department of Revenue 2021 vehicle registration, the most common motorcycles registered in Georgia were manufactured by Harley-Davidson Motor Company (39 percent of all registered motorcycles), Suzuki Motor of America (9 percent), and Yamaha Motor Company (9 percent). Among the motorcycle body classifications identified by NHTSA vPIC, motorcyclist fatalities were more frequent on sports motorcycles (38 percent), followed by touring motorcycles (19 percent), custom motorcycles (16 percent), and cruisers (12 percent). \n \nTable 16., 2019-2020 Percent Change in \n \nMotorcycle Licensure, License Status for \n \nMotorcyclists involved in Crashes, and \n \nMotorcycle Registration \n \nMeasure \n \n2019-2020 \nPercent Change \n \nAll Georgia Licensed Drivers / Operators \n \nTotal Class M / MP \n \n10% \n \nClass M \n \n9% \n \nClass MP \n \n19% \n \nOther License Class \n \n11% \n \nMotorcyclist Operator involved in Crashes \n \nTotal Class M / MP \n \n-12% \n \nClass M \n \n-10% \n \nClass MP \n \n-27% \n \nOther license Class not valid to operate a motorcycle \n \n6% \n \nNo license present or licensure status unknown \n \n35% \n \nRegistered Motorcycles \n \nAll Engine Sizes \n \n2% \n \nDespite the statewide reach of the Motorcycle Safety Program, \n46 percent \nof motorcycle operators involved in a traffic crash in 2020 were either unlicensed or did \nnot have a valid designation on their driver's license. \n \nPage 13 \n \n Demographics \nAge \nWhile older persons within the 55-to-64 age group have the highest proportion of properly licensed motorcyclists and motorcycle registrants, motorcyclists in the 25-to-34 age group have the highest involvement in crashes and receive a greater proportion of motorcycle-related convictions. Motorcycle operators aged 25-to-34 years represent 11 percent of all riders with a valid Class M or MP license compared to drivers in other age groups; however, they also represented: \n 28 percent of motorcycle operators who sustained fatal and serious injuries;  26 percent of motorcycle operators involved in a traffic crash;  30 percent of motorcycle operators with invalid or no license credentials involved in a crash; and  38 percent of motorcycle operators with convictions reported to the Georgia Department of \nDriver Services. \n \nTable 17. Motorcycle Operator Fatalities, Motorcycle Crashes, Licensed Motorcyclists with a Class M or MP License, and Motorcycle Registrations, 2020 \n \nAge Group \nChildren \n(less than 15) \n15-24 15-20 21-24 \n25-34 35-44 45-54 55-64 65+ Unknown TOTAL \n \nMotorcyclists Fatalities and Serious Injuries \nOperator Passenger \n \n1% \n16% 6% 10% 28% 19% 19% 12% 5% 1% 962 \n100% \n \n9% \n14% 8% 6% 19% 19% 14% 8% 9% 8% 64 \n100% \n \nMotorcyclist Operator involved in Crashes \n1% \n18% 8% 10% 26% 17% 17% 12% 5% 4% 4,138 \n100% \n \nMotorcyclist Operator \nConvictions \n1% \n28% 14% 14% 38% 16% 11% 7% \n--281 \n100% \n \nLicensed Motorcyclists \nClass M/ MP \n-- \n2% 1% 2% 11% 15% 22% 27% 23% -466,646 \n100% \n \nMotorcycle Registrants \n(2021) \n-- \n3% 1% 2% 11% 15% 24% 28% 17% 1% 212,788 \n100% \n \nSource: FARS 2020, CODES 2020, DDS 2020, DOR 2020 \n \nThe proportion of motorcycle operators involved in traffic crashes that are unlicensed or did not have the valid Class M/MP designation on their license decreases as the age group increases. Among motorcycle operators in the 25to-34 age group, only 39 percent had a valid Class M/MP license, 50 percent did not have the Class M/MP designation, 3 percent had a suspended or revoked license, and 8 percent were reported as unknown. \n \nFigure 6. Licensing Status of Motorcycle Operators involved in Traffic Crashes by Age Group, 2020 \n \nValid License (Class M / MP) Invalid or Unlicensed Unknown \n \n100% 80% 60% 40% \n \n82% \n \n12% 52% \n \n20% \n18% \n0% \n \n36% \n \nLess 15-24 \n \nthan 15 \n \n8% 53% \n \n8% 51% \n \n8% 42% \n \n39% 41% 50% \n25-34 35-44 45-54 Age Group \n \n8% 32% \n60% \n55-64 \n \n7% 28% \n65% \n65+ \n \nSource: CODES 2020 \n \nPage 14 \n \n Sex \u0026 Race/Ethnicity In 2020, 92 percent (3,552 out of 3,876) of the motorcycle operators involved in crashes were male, and five percent (205 out of 3,876) were female, and three percent were unknown or unreported (119 out of 3,876). Seventy-four percent (195 out of 262) of the motorcycle passengers involved in crashes were female. White, Non-Hispanic motorcyclists represent the largest proportion of motorcycle operator fatalities (64 percent), hospital visits (59 percent), and emergency room visits (63 percent) compared to other racial/ethnic groups. Despite the differences in proportions, the total hospital and emergency room rates per 100,000 population among White, non-Hispanic and Black non-Hispanic are nearly the same--41.8 for White, non-Hispanic and 39.0 for Black, non-Hispanic. The motorcycle operator fatality rate per population is also similar--1.8 for White, non-Hispanic and 1.5 for Black, non-Hispanic. \nPage 15 \n \n Data Definitions and Considerations: This fact sheet defines motorcyclists as either the rider (motorcycle operator) or passenger. A motorcycle includes two- or threewheeled motorcycles, off-road motorcycles, mopeds, motor scooters, minibikes, and pocket bikes. A large truck is any medium or heavy truck, excluding buses and motor homes, and can include commercial and non-commercial vehicles. Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). Motorcycle registration data for 2020 was obtained from the Department of Revenue (DOR) by special request on the calendar year in lieu of the state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. A traffic crash is defined as an incident that involved one or more motor vehicles where at least one vehicle was in transport, and the crash originated on a public trafficway, such as a road or highway. Crashes that occurred on private property, including parking lots and driveways, are excluded. Fatal crashes are defined as crashes that involve a motor vehicle traveling on a trafficway customarily open to the public and that resulted in the death of a motorist or a non-motorist within 30 days of the crash. Serious injuries are those suspected serious injuries reported by law enforcement and used when any injury, other than fatal injury, prevents the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. The National Center for Health Statistics (NCHS), the Federal agency responsible for the use of the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) in the United States, has developed a clinical modification (CM) of the classification for morbidity (EMS, trauma, hospital, and ER data) purposes. ICD-10 Codes used were V20-V28 (.3 - .9), V29 (.4 - .9). For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of missing blood alcohol test results in the FARS data system. A multiple imputation methodology is employed to generate specific values of BAC for persons involved in fatal crashes. Many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. Contributing circumstances capture the precrash elements or improper actions of persons (motorcycle operators, pedestrians, bicyclists, and other motorists) that may have caused the crash. Contributing factors in fatal and nonfatal crashes are often underreported in the datasets. There is at least one record per person involved in a fatal crash (FARS Data) and some missing records for persons involved in motor vehicle traffic crashes (Crash Data). Rural counties are counties that have a population of less than 50,000 according to the United States decennial census of 2010 or any future such census (OCGA Section 31-6-2). This is different than roadway classifications, where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \"At Intersection\" is used when a person is on a roadway either (1) in the intersection, (2) in the area between a crosswalk and the perimeter of the intersection, or (3) in a crosswalk (marked or unmarked) adjacent to an intersection. \"Not at Intersection\" is when the person is more than 50 feet out from the perimeter of an intersection and the crash is not identified as related to the movement of vehicles through an intersection. \nPage 16 \n \n Additional Information: Other general information on motorcycle safety and traffic safety facts may be accessed at: \n Appendix: Motorcycles Georgia Traffic Safety Facts  https://www.gahighwaysafety.org/highway-safety/shsp/ \nOther traffic safety facts are available online at the Georgia Governor's Office of Highway Safety and Crash Outcomes Data Evaluation Systems (CODES): Risky Driving, Traffic Safety During the COVID-19 Public Health Emergency, Distracted Drivers, Occupant Protection, Non-Motorist (Pedestrians and Bicyclists), Motorcycle Safety, Young Adult Drivers, and Older Drivers. \n \nThe suggested APA format citation for this document is: \nGeorgia Crash Outcomes Data Evaluation System. (2022, June). Motorcycles: 2020 data. (Georgia Traffic Safety Facts). Atlanta, GA: Governor's Office of Highway Safety. \n \nReferences: \nNational Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results Traffic Safety Fact Research Note. (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812936 \nNational Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811433 \nNational Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812867 \n \nPage 17 \n \n "},{"id":"dlg_ggpd_1391017351-2022-06-appendix","title":"Motorcycles (Georgia Governor's Office of Highway Safety), 2020 appendix","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":null,"dc_date":["2022-06"],"dcterms_description":["2019 has appendix available as separate document: Motorcycles drivers Georgia traffic safety facts.","2019 (harvested on February 8, 2022 from gahighwaysafety.org); title from PDF caption (Georgia Government Publications database, viewed June 30, 2023).","2019 Appendix (harvested on February 8, 2022 from gahighwaysafety.org); (Georgia Government Publications database, viewed June 30, 2023)."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, GA : Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals.","Motorcycling accidents","Georgia","Georgia Government Documents--Serial"],"dcterms_title":["Motorcycles (Georgia Governor's Office of Highway Safety), 2020 appendix"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_1391017351-2022-06-appendix"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_1391017351-2022-06-appendix"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Appendix \nMotorcycles Drivers Georgia Traffic Safety Facts \n(2020) \nThis document is the Appendix for the 2020 Motorcycles Georgia Traffic Safety Facts. Visit https://www.gahighwaysafety.org/highway-safety/shsp/ to access the full report. \nData Considerations: \n Alcohol-Related Crashes: For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of \nmissing blood alcohol test results in FARS data system. For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \n Motorcycle Registration: Motorcycle registration data for 2019 was obtained from the Department of Revenue (DOR) by special request \non the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \n Suspected Serious Injuries: Suspected serious injuries are reported by law enforcement and used when any injury, other than fatal injury, \nprevent the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \n \nMotorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2020 \n \nCounty Name \nSTATEWIDE Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts \n \nMotorcycle Crashes \n \nAll \n3,786 8 3 3 3 \n15 4 \n11 66 \n3 3 76 4 4 16 26 10 9 \n \n% AlcoholRelated 5% 25% 8% 9% 50% 5% 2% 40% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,138 \n \n1,026 (25%) \n \n9 \n \n33% \n \n3 \n \n67% \n \n3 \n \n33% \n \n4 \n \n50% \n \n16 \n \n31% \n \n5 \n \n40% \n \n12 \n \n50% \n \n74 \n \n26% \n \n3 \n \n33% \n \n3 \n \n- \n \n84 \n \n23% \n \n4 \n \n50% \n \n5 \n \n20% \n \n- \n \n- \n \n18 \n \n33% \n \n30 \n \n30% \n \n11 \n \n55% \n \n10 \n \n10% \n \nClass M / MP Licensed Drivers \n466,643 683 226 415 104 \n1,522 1,432 4,846 7,744 \n604 922 4,492 672 869 602 3,117 3,017 942 1,810 \n \nMotorcycle Registrations \n206,834 278 102 181 39 738 749 \n2,669 3,467 \n263 471 1,909 331 362 275 1,386 1,299 527 854 \n \nPage 1 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2020 (con't) \n \nCounty Name \nSTATEWIDE Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur Dekalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth Franklin Fulton \n \nMotorcycle Crashes \n \nAll \n3,786 - \n11 1 \n74 34 \n181 \n13 75 38 \n109 \n2 226 \n9 12 33 \n5 53 \n4 5 4 21 8 222 5 2 32 68 27 3 1 1 19 21 48 59 8 362 \n \n% AlcoholRelated 5% 8% 4% 8% 3% 6% 1% 17% 9% 13% 6% 8% 25% 25% 2% 2% 10% 21% 9% 6% 4% 1% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,138 \n \n1,026 (25%) \n \n- \n \n- \n \n12 \n \n33% \n \n1 \n \n- \n \n83 \n \n18% \n \n37 \n \n24% \n \n- \n \n- \n \n197 \n \n21% \n \n- \n \n- \n \n20 \n \n10% \n \n80 \n \n20% \n \n41 \n \n27% \n \n- \n \n- \n \n117 \n \n28% \n \n2 \n \n50% \n \n237 \n \n27% \n \n11 \n \n27% \n \n13 \n \n15% \n \n34 \n \n15% \n \n5 \n \n- \n \n56 \n \n29% \n \n4 \n \n- \n \n9 \n \n33% \n \n5 \n \n- \n \n25 \n \n16% \n \n8 \n \n50% \n \n234 \n \n26% \n \n5 \n \n20% \n \n3 \n \n- \n \n32 \n \n22% \n \n70 \n \n20% \n \n- \n \n- \n \n- \n \n- \n \n28 \n \n14% \n \n4 \n \n25% \n \n1 \n \n100% \n \n1 \n \n100% \n \n23 \n \n52% \n \n22 \n \n27% \n \n52 \n \n29% \n \n63 \n \n19% \n \n10 \n \n40% \n \n389 \n \n22% \n \nClass M / MP Licensed Drivers \n466,643 149 \n4,151 449 \n7,177 3,926 \n402 11,508 \n522 1,417 16,417 3,143 \n121 6,731 \n183 30,342 \n1,313 1,589 8,552 \n719 10,223 \n872 798 1,336 2,240 941 17,849 775 368 2,450 6,942 368 141 4,921 1,129 804 396 2,521 7,186 5,482 11,991 1,612 27,969 \n \nMotorcycle Registrations \n206,834 74 \n1,750 238 \n3,299 1,751 \n160 4,832 \n222 605 7,332 1,302 \n29 3,300 \n84 12,962 \n611 712 3,548 278 4,278 412 290 441 1,217 402 7,103 335 190 1,007 3,195 156 \n85 2,272 \n498 436 195 1,327 3,047 2,428 5,251 730 11,051 \n \nPage 2 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2020 (con't) \n \nCounty Name \nSTATEWIDE Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie McIntosh Meriwether Miller Mitchell Monroe Montgomery \n \nMotorcycle Crashes \n \nAll \n3,786 15 31 27 8 3 \n194 19 89 1 14 16 15 6 86 54 1 30 4 3 1 2 5 10 2 20 5 33 2 3 42 62 11 11 2 9 1 5 18 4 \n \n% AlcoholRelated 5% 9% 3% 21% 5% 21% 7% 4% 5% 5% 25% 50% 17% 9% 2% 33% 4% 25% 11% 33% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,138 \n \n1,026 (25%) \n \n16 \n \n44% \n \n- \n \n- \n \n34 \n \n38% \n \n30 \n \n37% \n \n8 \n \n38% \n \n3 \n \n- \n \n212 \n \n27% \n \n22 \n \n14% \n \n93 \n \n26% \n \n2 \n \n100% \n \n17 \n \n18% \n \n21 \n \n10% \n \n16 \n \n44% \n \n6 \n \n33% \n \n92 \n \n25% \n \n57 \n \n19% \n \n1 \n \n100% \n \n40 \n \n40% \n \n5 \n \n20% \n \n3 \n \n33% \n \n1 \n \n- \n \n- \n \n- \n \n2 \n \n- \n \n5 \n \n40% \n \n15 \n \n27% \n \n2 \n \n50% \n \n25 \n \n44% \n \n6 \n \n50% \n \n35 \n \n34% \n \n2 \n \n50% \n \n3 \n \n33% \n \n45 \n \n11% \n \n71 \n \n17% \n \n- \n \n- \n \n16 \n \n25% \n \n- \n \n- \n \n11 \n \n27% \n \n2 \n \n50% \n \n12 \n \n17% \n \n1 \n \n100% \n \n5 \n \n20% \n \n20 \n \n20% \n \n5 \n \n60% \n \nClass M / MP Licensed Drivers \n466,643 2,841 127 4,513 3,689 933 909 \n28,884 2,997 \n10,790 266 \n2,195 2,872 1,505 \n868 12,074 \n9,046 409 \n4,858 1,036 \n459 495 222 265 1,661 1,366 476 1,975 1,918 3,674 481 1,041 5,259 2,553 366 1,856 435 970 737 1,397 190 657 1,994 321 \n \nMotorcycle Registrations \n206,834 1,302 52 1,790 1,794 489 335 \n13,114 1,391 5,043 139 1,036 1,187 738 390 5,431 3,793 165 2,310 561 192 232 97 112 773 629 229 857 731 1,636 192 488 2,434 1,423 169 801 175 516 325 658 87 305 852 167 \n \nPage 3 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2020 (con't) \n \nCounty Name \nSTATEWIDE Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs Towns Treutlen Troup Turner Twiggs Union Upson Walker \n \nMotorcycle Crashes \n \nAll \n3,786 9 \n33 75 55 11 \n4 62 21 28 \n3 4 25 5 4 23 4 95 44 2 2 29 19 1 9 3 1 2 3 3 1 14 15 9 13 1 29 5 4 25 8 22 \n \n% AlcoholRelated 5% 33% 10% 1% 4% 13% 4% 200% 7% 11% 300% 7% 8% 100% 20% 13% 6% 50% 7% 11% 6% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,138 \n \n1,026 (25%) \n \n10 \n \n40% \n \n40 \n \n33% \n \n81 \n \n23% \n \n60 \n \n28% \n \n12 \n \n25% \n \n4 \n \n50% \n \n67 \n \n21% \n \n22 \n \n- \n \n34 \n \n18% \n \n4 \n \n100% \n \n4 \n \n25% \n \n27 \n \n37% \n \n6 \n \n- \n \n5 \n \n40% \n \n- \n \n- \n \n25 \n \n28% \n \n4 \n \n25% \n \n100 \n \n17% \n \n45 \n \n33% \n \n- \n \n- \n \n2 \n \n50% \n \n3 \n \n- \n \n33 \n \n33% \n \n21 \n \n29% \n \n2 \n \n50% \n \n11 \n \n36% \n \n3 \n \n67% \n \n1 \n \n- \n \n3 \n \n100% \n \n3 \n \n33% \n \n3 \n \n100% \n \n1 \n \n100% \n \n15 \n \n40% \n \n19 \n \n21% \n \n10 \n \n30% \n \n14 \n \n29% \n \n1 \n \n- \n \n30 \n \n10% \n \n5 \n \n20% \n \n4 \n \n50% \n \n28 \n \n21% \n \n10 \n \n20% \n \n23 \n \n17% \n \nClass M / MP Licensed Drivers \n466,643 1,250 2,362 8,104 5,709 2,002 915 \n10,335 1,447 2,952 917 1,746 2,610 421 1,278 187 1,296 213 5,847 4,023 247 560 426 3,804 2,008 136 1,011 368 81 851 396 358 376 1,789 1,596 1,043 1,268 265 3,710 349 470 2,960 1,741 4,224 \n \nMotorcycle Registrations \n206,834 661 \n1,253 2,908 2,815 \n812 408 4,535 622 1,508 325 780 1,227 205 542 \n38 655 \n71 3,010 1,779 \n96 244 175 1,644 845 \n63 419 164 \n31 383 139 152 187 779 683 483 569 162 1,451 158 216 1,542 693 2,059 \n \nPage 4 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2020 (con't) \n \nCounty Name \nSTATEWIDE Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth \n \nMotorcycle Crashes \n \nAll \n3,786 34 13 3 1 8 1 1 25 41 1 3 6 \n \n% AlcoholRelated 5% 13% 50% 18% 4% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,138 \n \n1,026 (25%) \n \n38 \n \n5% \n \n14 \n \n21% \n \n3 \n \n33% \n \n1 \n \n- \n \n10 \n \n- \n \n1 \n \n- \n \n1 \n \n100% \n \n30 \n \n20% \n \n43 \n \n16% \n \n- \n \n- \n \n1 \n \n- \n \n4 \n \n- \n \n7 \n \n43% \n \nClass M / MP Licensed Drivers \n466,643 5,859 1,501 183 677 1,395 93 174 2,367 4,742 283 495 441 1,058 \n \nMotorcycle Registrations \n206,834 2,800 516 69 298 592 47 77 1,188 2,281 126 194 197 483 \n \nPage 5 \n \n "},{"id":"dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-belec-p-btext","title":"Motorcycles, 2019","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":["Georgia Governor's Office of Highway Safety"],"dc_date":["2021-07"],"dcterms_description":["Fact sheet on motocycles in Georgia."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, Ga. : Georgia Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals"],"dcterms_title":["Motorcycles, 2019"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-belec-p-btext"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-belec-p-btext"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Georgia Traffic Safety Facts \n2019 Data \n \nJuly 2021 \nKey Findings \n Motorcycles consistently represent \n2 percent of all registered vehicles and 1 percent of all motor vehicle crashes in Georgia; however, motorcycle operators represented 21 percent of all driver fatalities and 11 percent of all traffic fatalities. \n The majority of all motorcycle \ncrashes occur in north Georgia. Generally, there are higher motorcycle crash rates in metroAtlanta and in the rural counties in the northeast Georgia-Tennessee border. \n More than half (51 percent) of \nmotorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash. \n Motorcyclists aged 25-to-34 years \nhad the greatest proportion of EMS transports (25%), emergency room only visits (27%), and hospitalizations (24%) compared to other age groups. \n The total motor vehicle traffic- \nrelated hospitalization and emergency room charges among motorcyclists in Georgia was $221 million. \n Helmet use (88%) among Georgia \nmotorcyclists involved in a crash resulted in an estimated 91 lives saved. \nGovernor's Office of Highway Safety \n7 M.L.K. Jr Dr SE Suite #643 Atlanta, GA 30334 \n(404) 656-6996 www.gahighwaysafety.org \n \nMotorcycles \nAs defined for this fact sheet, a motorcyclist is a general term to refer to either the rider (motorcycle operator) or passenger. A motorcycle includes two or three-wheeled motorcycles, off-road motorcycles, moped, motor scooters, minibikes, and pocket bikes. \nThis fact sheet contains information from the Fatality Analysis Reporting System (FARS), Georgia Department of Transportation (GDOT) crash data modified by Crash Outcomes Data Evaluation System (CODES) at the Department of Public Health (DPH), Georgia Department of Driver Services (DDS), Georgia Department of Revenue (DOR), Georgia Emergency Medical Services Information System (GEMSIS), Hospital Discharge Data, Emergency Room Data, and the Georgia Trauma Registry. Refer to the 'Data Considerations' section regarding the data and information presented at the end of this publication. \n \nMotorcyclist Fatalities and Fatality Rates \nIn 2019, there were 170 motorcyclists fatally injured in motor vehicle traffic crashes in the state of Georgia (Figure 1). The number of motorcyclist fatalities in traffic crashes increased by 22 percent, from 139 motorcyclist fatalities in 2017 to 170 in 2019. There were approximately 84 motorcyclist fatalities for every 100,000 motorcycle registrations in 2019. Figure 1 shows the rate and number of motorcyclist fatalities for the past decade. \n \nFigure 1: Rate and Percent of Motorcyclist Fatalities, 2010-2019 \n \n200 \n180 \n160 \n140 \n128 \n120 \n100 \n65.4 \n80 \n60 \n \nRate per 100,000 Registrations \n \n150 134 \n \n152 137 \n \n75.3 \n \n116 \n \n76.1 \n \n66.6 \n \n68.7 \n \n58.2 \n \nMotorcyclist Fatalities \n \n120.0 \n \n172 \n86.2 \n \n139 \n68.2 \n \n154 \n75.6 \n \n170 100.0 \n80.0 \n83.6 \n60.0 \n \n40.0 \n \n40 \n20.0 \n20 \n \n0 \n \n0.0 \n \n2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 \n \nSource: Fatality Analysis Reporting System (FARS) 20102019; FY2014-FY2019 Department of Revenue Annual Reports; DOR 2019 \nPage 1 \n \n Although motorcyclists represented less than one percent of all persons involved in motor vehicle crashes (0.4 percent), they accounted for 11 percent of all traffic fatalities. \n \nTable 1 presents the number of total traffic fatalities, Georgia motorcycle registrations, and motorcyclist fatalities from 2010 to 2019. \n The number of total traffic \nfatalities increased by 20 percent from 1,247 to 1,491. \n The number of motorcyclist \nfatalities increased by 33 percent from 128 to 170. \n The number of motorcycle \nregistrations increased by 4 percent from 195,647 to 203,343. \n The rate of motorcycle fatalities \nincreased by 28 percent from 65.4 to 83.6 motorcycle fatalities per 100,000 motorcycle registrations. \n \nTable 1: Rate and Percent of Motorcyclist Traffic Fatalities, 2010-2019 \n \nYear \n \nTotal Traffic Fatalities \n \nRegistered Motorcycles \n \nMotorcyclist Fatalities \n \nNumber \n \nPercent \nof All Traffic Fatalities \n \nRate \nper 100,000 \nRegistrations \n \n2010 1,247 \n \n195,647 \n \n128 \n \n10% \n \n65.4 \n \n2011 1,226 \n \n199,253 \n \n150 \n \n12% \n \n75.3 \n \n2012 1,192 \n \n201,206 \n \n134 \n \n11% \n \n66.6 \n \n2013 1,180 \n \n199,287 \n \n116 \n \n10% \n \n58.2 \n \n2014 1,164 \n \n199,445 \n \n137 \n \n12% \n \n68.7 \n \n2015 1,432 \n \n199,796 \n \n152 \n \n11% \n \n76.1 \n \n2016 1,556 \n \n199,504 \n \n172 \n \n11% \n \n86.2 \n \n2017 1,540 \n \n203,783 \n \n139 \n \n9% \n \n68.2 \n \n2018 1,504 \n \n203,639 \n \n154 \n \n10% \n \n75.6 \n \n2019 1,491 \n \n203,343 \n \n170 \n \n11% \n \n83.6 \n \nNote: Motorcycle registrations include commercial and non-commercial motorcycles. Source: Fatality Analysis Reporting System (FARS) 20102019; FY2014-FY2020 DOR Annual Reports; DOR 2019. \n \nUrban vs. Rural1 Motorcycle Crashes \nIn 2019, there were 1,941.5 motorcycle crashes for every 100,000 motorcycle registrations statewide (Table 2). Motorcycle crashes are more frequent in urban areas than rural areas. \n The Atlanta Region accounted for \n42 percent (1,655 out of 3,948) of all motorcycle crashes and 33 percent of all motorcycle registrations. \n Other urban counties accounted for \n39 percent (1,530 out of 3,948) of all motorcycle crashes and 41 percent of all motorcycle registrations. \n \nTable 2: Motorcycle Crashes, Motorcycle Registrations, and Motorcycle Crash Rate by Region Type, 2019 \n \nRegion \n \nMotorcycle Crashes \nNumber Percent \n \nRegistered Motorcycles \n \nNumber \n \nPercent \n \nMotorcycle Crash Rate \nper 100,000 Registrations \n \nAtlanta Region2 \n(10 counites) \n \n1,655 \n \n42% \n \n67,555 \n \n33% \n \n2,449.9 \n \nOther Urban \n(31 counties) \n \n1,530 39% 82,381 41% \n \n1,857.2 \n \nRural Counties \n(118 counties) \n \n763 \n \n19% \n \n53,407 \n \n26% \n \n1,428.7 \n \nStatewide \n \n3,948 100% 203,343 100% 1,941.5 \n \nSource: CODES 2019, DOR 2019 \n \n1 Rural counties are counties that have a residential population less than 50,000 persons. This is different than roadway classifications where \n \nurban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \n \n2 The Atlanta Region includes the ten counties that are defined by the Atlanta Regional Commission (ARC): Cherokee, Clayton, Cobb, DeKalb, \n \nDouglas, Fayette, Fulton, Gwinnett, Henry, and Rockdale counties. \n \nPage 2 \n \n Figure 2 shows the motorcycle crash rate for counties with more than ten motorcycle crashes in 2019 and their deviation from the statewide percent of motorcycle crash rate (1,941.5 motorcycle crashes for every 100,000 motorcycle registrations). \n \nFigure 2: Motorcycle (MC) Crashes per 100,000 MC Registrations and Deviation from the Statewide MC Crash Rate for Counties with 10+ MC Crashes, 2019 \n \nThe majority of all motorcycle crashes occur in north Georgia. Generally, there are higher motorcycle crash rates in metro-Atlanta and in the rural counties in the northeast area, Georgia-North and South Carolina border. Nine percent of all motorcycle operators involved in Georgia traffic crashes had a license from another state  five percent were licensed from a bordering state (Alabama, Florida, North Carolina, South Carolina, or Tennessee). \n Four out of the ten counties within the \nAtlanta Region had a higher motorcycle crash rate compared to the statewide rate. Combined, Fulton and Dekalb represent 19 percent of all motorcycle crashes statewide: \n- Fulton (510 crashes and 4,918 crash rate) - Dekalb (250 crashes and 3,578 crash rate) \n Ten out of the 20 rural counties that \nexperience more than ten motorcycle crashes had a higher crash rate compared to the statewide rate. The top three rural counties with the highest crash rate are located in northeast Georgia: \n- Lumpkin (52 crashes and 4,270 crash rate) - Union (35 crashes and 2,754 crash rate) - Rabun (27 crashes and 4,569 crash rate) \nIn 2019, the counties with the highest number of motorcyclist fatalities were: Fulton (22 motorcyclist fatalities), DeKalb (12), Gwinnett (10), Cobb (8), and Bibb (8). Table 3 shows the motorcycle crashes, motorcyclist suspected serious injuries, and fatalities in these five counties. One-third of all motorcycle crashes (1,301 out of 3,948) and 32 percent of all motorcyclist serious injuries and fatalities (279 out of 875) occurred within these five counties alone. \n \nSource: CODES 2019, DOR 2019 Note: The map only shows counties with 10 or more motorcycle crashes in 2019. Counties that are light to dark green have a lower motorcycle crash rate compared to the statewide rate. Counties that are light to dark brown have a higher motorcycle crash rate compared to the statewide rate. \n \nSee the \"Additional Information\" to access the Appendix for this document. The Appendix includes \nthe following information by county: Motorcycle Crashes  Motorcycle Registrations  Motorcycle Licensed Operators  Suspected Serious Injuries \nand Fatalities  Suspected and Confirmed Motorcycle Operator Alcohol Involvement. \n \nTable 3: Motorcycle Crashes and Motorcyclist \n \nSuspected Serious Injuries and Fatalities by \n \nTop Counties with Highest Fatalities, 2019 \n \nCounties with at Least One Motorcycle Crash \n \nMotorcycle Crashes \n \nNumber \n \nPercent of all Crashes \n \nMotorcyclist Suspected Serious Injuries and Fatalities \n \nNumber \n \nPercent of all Serious Injuries and Fatalities \n \nTop Counties \n \n1,301 \n \n33% \n \n279 \n \n32% \n \nFulton \n \n510 \n \n13% \n \n115 \n \n13% \n \nDeKalb \n \n250 \n \n6% \n \n42 \n \n5% \n \nGwinnett \n \n230 \n \n6% \n \n52 \n \n6% \n \nCobb \n \n237 \n \n6% \n \n50 \n \n6% \n \nBibb \n \n74 \n \n2% \n \n20 \n \n2% \n \nOther \n \nCounties \n \n2,642 \n \n67% \n \n595 \n \n(136 Counties) \n \n68% \n \nTotal \n(141 Counties) \n \n3,948 \n \n100% \n \n875 \n \n100% \n \nSource: CODES 2019 Note: The five (5) motorcycle crashes and one (1) suspected serious injury that occurred in unknown counties are included in the total. Eighteen (18) counties did not experience a motorcycle crash in 2019. \n \nPage 3 \n \n Table 4 below shows the percent of motorcycle crashes by region and roadway classification in 2019. \n Forty-one percent of all motorcycle crashes occurred within the Atlanta Region  compared \nto 55 percent of all traffic crashes in this region. \n Twenty-six percent of all motorcycle crashes occurred on minor arterial roads (other \nmultilane roads that supplement highways) statewide  the Atlanta Region and other urban counties experience more crashes on this roadway type. \n The majority of motorcycle crashes in rural counties occurred on collector roads (roads that \nconnect local roads and streets). \n- Thirteen percent of all traffic crashes and 20 percent of all motorcycle crashes were in rural counties. \n- Three percent of all traffic crashes and 6 percent of all motorcycle crashes were on collectors in rural counties. \n \nTable 4: Motorcycle Traffic Crashes by Region and Roadway Classification, 2019 \n \nRoadway Classification \n \nAtlanta Region \n(10 counties) \n \nOther Urban Counties \n(31 counties) \n \nRural Counties \n(118 counties) \n \nStatewide \n \nInterstate \n \n5% \n \n2% \n \n1% \n \n7% \n \nPrincipal Arterial \n \n9% \n \n10% \n \n5% \n \n24% \n \nMinor Arterial \n \n12% \n \n11% \n \n3% \n \n26% \n \nCollectors \n \n4% \n \n6% \n \n6% \n \n16% \n \nLocal \n \n9% \n \n10% \n \n5% \n \n24% \n \nRamps \n \n2% \n \n1% \n \n0% \n \n3% \n \nTotal \n \n41% \n \n39% \n \n20% \n \n100% \n \nSource: Numetric 2019 Note: The sum of the individual cells may not equal row or column totals due to rounding error. Principal arterials include freeways, multilane highways (e.g., Buford Highway and Hawkinsville Road). Minor arterials are other important multilane roadways that supplement the highways (e.g., Spring Street and U.S. Route 41). Collector roads connect local roads and streets with arterials (e.g., McAfee Road and McCall Road). \n \nManner of Collison in Multi-Vehicle3 Crashes \nSixty-three percent of all motorcycle crashes involved more than one vehicle  37 percent were single-vehicle motorcycle crashes. Passenger vehicles4 were the most common vehicle involved in crashes with motorcyclists  93 percent. \nThe most common manner of collision involving motorcycles in multi-vehicle crashes were rear end collisions (32 percent). The manner of collision is not vehicle specific and does not identify which vehicle or driver was at fault. \nSixty percent of all motorcyclist serious injuries and 70 percent of all motorcyclist fatalities occurred in multiple-vehicle crashes. \n \nFigure 3: Multi-Vehicle Motorcycle Crashes by Manner of Collison, 2019 \n \nRear End \n \n32% \n \nAngle (Other) * \n \n23% \n \nLeft Angle Crash \n \n20% \n \nSideswipe-Same Direction \n \n12% \n \nOther \n \n8% \n \nCollision with NonMotorist or Object \n \n6% \n \nSource: Numetric 2019, CODES 2019 Note: Angle (Other) includes other unknown angle crashes and right-angle crashes (2%). Other includes `head on' and `sideswipeopposite direction'. \n \n3 Multi-vehicle crashes may include another motorcycle 4 Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \n \nPage 4 \n \n Environmental Characteristics \nTable 5 shows information on environmental characteristics (location of crash, land use, and light conditions) describing where and when motorcycle crashes, suspected serious injuries, and fatalities occurred in 2019. More motorcycle crashes, serious injuries, and fatalities occurred during daylight, but not at an intersection. \n 63 percent of all motorcycle crashes, 62 percent of all motorcyclist serious injuries, and 59 percent of \nall motorcyclists fatalities did not occur at an intersection (see data considerations). \n 70 percent of all motorcycle crashes, 60 percent of all motorcyclist serious injuries, and 54 percent of \nall motorcyclist fatalities occurred in the daylight. \n 92 percent of all motorcycle crashes occurred on dry roads (not shown). \n \nTable 5: Motorcycle Crashes and Motorcyclists Injuries by Environmental Characteristics, 2019 \n \nEnvironmental Characteristics \n \nCrashes \n \nNumber \n \nPercent \n \nSuspected Serious Injuries \n \nNumber \n \nPercent \n \nFatalities \n \nNumber \n \nPercent \n \nLocation* \n \nNot at Intersection \nAt Intersection or Intersection Related \nNot Reported \n \n2,470 \n \n63% \n \n437 \n \n62% \n \n101 \n \n59% \n \n1,447 \n \n37% \n \n263 \n \n37% \n \n68 \n \n40% \n \n31 \n \n1% \n \n5 \n \n1% \n \n1 \n \n1% \n \nLight Conditions \n \nDark \n \n1,057 \n \n27% \n \n246 \n \n35% \n \n70 \n \n41% \n \nDaylight \n \n2,755 \n \n70% \n \n426 \n \n60% \n \n92 \n \n54% \n \nDawn \n \n38 \n \n1% \n \n9 \n \n1% \n \n1 \n \n1% \n \nDusk \n \n64 \n \n2% \n \n18 \n \n3% \n \n6 \n \n4% \n \nNot Reported \n \n34 \n \n1% \n \n6 \n \n1% \n \n1 \n \n1% \n \nSource: FARS 2019, CODES 2019 \n \nTime of Day and Day of Week \nForty-three percent of all weekday motorcyclist fatalities occurred between 12:00 p.m. and 5:59 p.m., and 49 percent of all weekend motorcyclist fatalities occurred between 6:00 p.m. and 11:59 p.m. \nFigure 4 shows the percent of all motor vehicle traffic fatalities that were motorcyclists by the time of day and day of the week in 2019. \n 27 percent of all traffic fatalities that \noccurred on the weekend between 6:00 p.m. and 11:59 p.m. were motorcyclists (43 out of the 160 total traffic fatalities that occurred during that period). \n \nFigure 4: Percent of All Traffic Fatalities that \n \nwere Motorcyclists, by Time of Day and Day \n \nof Week, 2019 \n \nWeekday \n \nWeekend \n \n27% \n \n13% 7% \n \n13% 10% \n \n12% 14% \n \n15% \n \n12:00-5:59am 6:00-11:59am 12:00-5:59pm 6:00-11:59pm \nWeekday: 6 a.m. Monday to 5:59 p.m. Friday Weekend: 6 p.m. Friday to 5:59 a.m. Monday Source: FARS 2019 \n \nPage 5 \n \n Motorcycle Licensure \u0026 Vehicle Registration \nMotorcycle operators with a Class M license or a Class M Instructional Permit (MP) have a valid license to operate a motorcycle or motor-driven cycle in Georgia legally. Across the decade, drivers with a Class M license only, Class MP license only, or had a Class M status assigned to another license type consistently represented about 6 percent of all licensed drivers. According to the Department of Driver Services (DDS), approximately 6,500 individuals completed the Georgia Motorcycle Safety Program in FY2019. These programs teach crash-avoidance skills to motorcycle riders of various experience levels. \n \nAlthough motorcycles consistently represent two percent of all registered vehicles and one percent of all motor vehicle crashes in Georgia, motorcycle operators represented 21 percent of all driver fatalities in 2019. From 2010 to 2019: \n The number of motorcycle operator fatalities increased by 34 percent from 122 to 164.  The number of motorcycle crashes increased by 6 percent from 3,708 to 3,948.  The number of motorcyclists with a valid license increased by 20 percent from 421,016 to 505,068.  The number of registered motorcycles increased by 4 percent from 195,647 to 203,343. \n \nTable 6: Motorcycle Operator Fatalities, Motorcycle Crashes, Licensed Motorcyclists with a Class M or MP License, and Motorcycle Registrations, 2010-2019 \n \nYear \n \nMotorcycle Operator Fatalities \n \nMotorcycle Crashes \n \nLicensed Motorcyclists with a Class M or Class MP License \n \nMotorcycle Registrations \n \nNumber \n \n% of all Driver Fatalities \n \nNumber \n \n% of all Crashes \n \nNumber \n \n% of all Licensed Drivers \n \nNumber \n \n% of all Vehicle Registrations \n \n2010 122 \n \n18% \n \n3,708** 1% \n \n421,016 \n \n5% \n \n195,647 \n \n2% \n \n2011 143 \n \n20% \n \n4,084* \n \n1% \n \n442,924 \n \n5% \n \n199,253 \n \n2% \n \n2012 130 \n \n20% \n \n4,286* \n \n1% \n \n453,055 \n \n6% \n \n201,206 \n \n2% \n \n2013 113 \n \n19% \n \n4,023 \n \n1% \n \n455,959 \n \n6% \n \n199,287 \n \n2% \n \n2014 133 \n \n20% \n \n4,112 \n \n1% \n \n465,739 \n \n6% \n \n199,445 \n \n2% \n \n2015 145 \n \n18% \n \n4,170 \n \n1% \n \n478,915 \n \n6% \n \n199,796 \n \n2% \n \n2016 167 \n \n19% \n \n4,498 \n \n1% \n \n492,888 \n \n6% \n \n199,504 \n \n2% \n \n2017 135 \n \n15% \n \n4,158 \n \n1% \n \n497,092 \n \n6% \n \n203,783 \n \n2% \n \n2018 148 \n \n18% \n \n3,049 \n \n1% \n \n501,169 \n \n6% \n \n203,639 \n \n2% \n \n2019 164 \n \n21% \n \n3,948 \n \n1% \n \n505,068 \n \n6% \n \n203,343 \n \n2% \n \nSource: FARS 2010-2019, FFY2011 \u0026 FFY2012 Georgia Highway Safety Plan, CODES 2013-2019, DDS 2010-2019, FY2014-FY2020 DOR Annual Reports, DOR 2019 \nNotes: The crash datasets for 2010-2012 were compiled using both paper and electronic crash reports and were not verified. As such, * 2011 and 2013 motorcycle crash values were obtained from the FFY2011 \u0026 FFY2012 Georgia Highway Safety Plans ** 2010 motorcycle crash value was not available in the Highway Safety Plans; therefore, it was calculated assuming that motorcycle crashes represented 1% of all motor vehicle crashes (consistent with 2011-2019 years). \n \nSex \nIn 2019, 88 percent (3,542 out of 4,029) of the motorcycle operators involved in all crashes were male, and six percent (246 out of 4,029) were female. Seventy-seven percent (184 out of 240) of the motorcycle passengers involved in crashes were female. \n \nPage 6 \n \n Age \nIn 2019, half (51 percent) of motorcycle operators involved in crashes were riding without a valid motorcycle designation (Class M or MP) on their driver's license at the time of the crash (2,060 out of 4,029 motorcycle operators). \n 44 percent were operating a motorcycle without a valid license designation (1,757 out of 4,029 \nmotorcycle operators); and \n 7 percent were operating a motorcycle without any type of license (303 out of 4,029 motorcycle \noperators); therefore, 42 percent of motorcyclists without a license (127 out of 303) also had an unknown or unreported age. \n \nWhile drivers aged 25-to-34 years represent 12 percent of all riders with a valid Class M or MP license, compared to drivers in other age groups, they also represented: \n 23 percent of all motorcyclist operator fatalities;  25 percent of all motorcyclist operators involved in a crash; and  41 percent of all motorcyclists with invalid or no license credentials involved in a crash. \n \nOlder persons within the 55-to-64 age group represented 14 percent of all traffic fatalities (212 out of 1,491). Eight percent of all motor vehicle traffic fatalities within the 55-to-64 age group were motorcyclists (18 out of 212). Older drivers aged 55-to-64 years represent 26 percent of all riders with a valid Class M or MP license. This age group also represented: \n 11 percent of all motorcyclist operator fatalities;  13 percent of all motorcyclist operators involved in a crash; and  16 percent of all motorcyclists with invalid or no license credentials involved in a crash. \n \nTable 7: Percent of Motorcycle Operator Fatalities, Motorcycle Operators Involved in Crashes, Licensed Motorcyclists, and Motorcycle Registrations by Age Group, 2019 \n \nAge Group (Years) \n \nMotorcyclist Operators Fatalities \n \nMotorcyclist Operators Involved in \na Crash \n \nChildren ( 14) \n \n- \n \n15-20 \n \n5% \n \n21-24 \n \n9% \n \n25-34 \n \n23% \n \n35-44 \n \n20% \n \n45-54 \n \n21% \n \n55-64 \n \n11% \n \n65-74 \n \n12% \n \n75+ \n \n5% \n \nUnknown \n \n- \n \nTOTAL \n \n164 \n(100%) \n \nSource: FARS 2019, CODES 2019, DDS 2019 \n \n1% \n7% 11% \n25% \n17% 16% 13% 6% 0% 4% 4,029 \n(100%) \n \nLicense Type of Motorcyclist Operator in Crash \n \nClass M / MP \n \nOther Classes (Invalid) \n \nNone \n \n- \n \n0.2% \n \n6% \n \n5% 11% 25% 17% 18% 16% 7% 0.8% 0.8% 1,969 \n(100%) \n \n8% 13% \n27% \n19% 16% 10% 4% 0.3% 0.7% 1,757 \n(100%) \n \n10% 5% \n14% \n9% 7% 6% 2% 0.3% 42% 303 \n(100%) \n \nClass M or MP Licenses \n0% \n1% 2% 12% 15% 22% \n26% \n16% 6% 0% 369,871 \n(100%) \n \nPage 7 \n \n Motorcyclist Injuries \nThe following section describes various responses to serious injuries experienced by motorcyclists involved in motor vehicle traffic crashes and non-traffic crash incidents. Injured motorcyclists can be counted multiple times for each response (e.g., an injured person may be counted as an emergency room visit, hospitalization, and/or trauma center patient). The various responses to injuries are described below. \nSuspected Serious Crash Injuries are reported by law enforcement responding to a motor vehicle crash scene. Suspected serious injury is used when any injury, other than fatal injury, prevents the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \nEmergency Medical Services include all ground and air transports to an emergency facility for patients who are injured and require medical care in the state of Georgia. \nTrauma Center patients are identified as those with serious injuries that meet specific criteria. The State of Georgia follows the identification and treatment guidelines established by the American College of Surgeons along with the Centers of Disease Control and Prevention (CDC) Field Triage Criteria. Participating hospitals (voluntary) are designated or verified as trauma centers Level I, II, III or IV. Level I and II facilities are able to treat the most critical patients. \nEmergency Room and Hospitalizations include Georgia resident discharges from Georgia non-federal acute care hospitals. Emergency room (ER) visits include individuals who were discharged directly from the ER. Hospitalizations include individuals who may have visited the emergency room. \n \nSuspected Serious Crash Injuries \n \nAccording to the police crash reports, there were 3,948 motorcycle crashes, 4,269 motorcyclists involved in motor vehicle traffic crashes, and 705 suspected serious injuries among motorcyclists in 2019 statewide. \nTable 8 shows the number of motorcycle crashes, motorcyclists involved in crashes, and suspected serious injuries between 2015-2019. \n \nTable 8: Motorcyclist Crashes and Suspected Serious Injuries, 2015-2019 \n \nYear \n2015 2016 2017 2018 2019 \n \nCrashes \n4,170 4,498 4,158 3,049 3,948 \n \nMotorcyclists Involved \n5,552 4,899 4,551 3,391 4,269 \n \nSuspected Serious Injuries \n917 1,022 961 591 705 \n \nSource: CODES 2015-2019 Note: There can be multiple motorcyclists (operators and passengers) involved in a single motor vehicle crash. \n \nPage 8 \n \n Emergency Medical Services \nIn 2019, the Emergency Medical Services (EMS) transported a total of 2,069 motorcyclists involved in motor vehicle traffic crashes to a hospital facility (Table 9). Compared to other age groups: \n Injured motorcyclists ages 25-to- \n34 years had the highest proportions of EMS transports  25 percent of all male motorcyclists and 22 percent of all female motorcyclists transported by EMS. \n Injured male motorcyclists aged \n21-to-24 years had the highest rate of motorcyclist EMS transports per 100,000 population  63.3. \nIn 2019, the counties with the highest number of motorcyclist transports by EMS were Fulton (386 EMS transports), Cobb (130), Gwinnett (74), Chatham (62), and Bibb (59). \nEmergency Room Visits \u0026 Hospitalizations \nIn 2019, there were a total of 4,362 motor vehicle traffic-related emergency room visits and hospitalizations5 involving motorcyclists. Motorcyclists aged 25-to-34 years had the highest rate of emergency room visits and hospitalizations compared to other age groups  60.7 emergency room visits and 16.2 hospitalizations for every 100,000 population. \nThe total motor vehicle traffic-related hospitalization and emergency room charges among motorcyclists in Georgia was $221 million. \n \nTable 9: Motorcyclists with Traffic-Related Injuries Transported by Emergency Medical Services by Sex and Age Group, 2019 \n \nAge Group \nChildren ( 14) \n \nNumber \n34 \n \nMale \nPercent \n2% \n \nRate \nper 100,000 population \n \nNumber \n \nFemale \nPercent \n \nRate \nper 100,000 population \n \n3.2 \n \n21 \n \n5% \n \n2.1 \n \n15-20 \n \n108 \n \n6% \n \n24.0 \n \n32 \n \n8% \n \n7.4 \n \n21-24 25-34 35-44 \n \n181 \n \n11% \n \n63.3 \n \n425 \n \n25% \n \n57.3 \n \n281 \n \n17% \n \n42.2 \n \n36 \n \n9% \n \n12.9 \n \n84 \n \n22% \n \n11.2 \n \n55 \n \n14% \n \n7.7 \n \n45-54 \n \n295 \n \n18% \n \n43.5 \n \n67 \n \n17% \n \n9.3 \n \n55-64 \n \n221 \n \n13% \n \n35.5 \n \n62 \n \n16% \n \n9.0 \n \n65-74 \n \n98 \n \n6% \n \n23.3 \n \n18 \n \n5% \n \n3.6 \n \n75+ \n \n21 \n \n1% \n \n8.7 \n \n7 \n \n2% \n \n2.0 \n \nUnknown \n \n6 \n \n\u003c1% \n \n-- \n \n1 \n \n\u003c1% \n \n-- \n \nTotal 1,670 100% 32.4 \n \n383 100% \n \n7.0 \n \nNote: Tables do not show 16 motorcyclists transported by EMS of unknown sex and/or age. \n \nSource: Georgia Emergency Medical Services Information System (GEMSIS) 2019 \n \nTable 10: Motorcyclist Traffic-Related Emergency Room Visits and Hospitalizations by Age Group, 2019 \n \nAge Group \nChildren ( 14) \n \nEmergency Room Visits \n \nNumber \n \nPercent \n \nRate \nper 100,000 population \n \n155 \n \n5% \n \n7.5 \n \nHospitalizations \n \nNumber \n \nPercent \n \nRate \nper 100,000 population \n \n-- \n \n-- \n \n-- \n \n15-20 \n \n225 \n \n7% \n \n25.4 \n \n29 \n \n3% \n \n3.3 \n \n21-24 \n \n482 \n \n14% \n \n85.4 \n \n118 \n \n12% \n \n20.9 \n \n25-34 \n \n906 \n \n27% \n \n60.7 \n \n242 \n \n24% \n \n16.2 \n \n35-44 \n \n591 \n \n18% \n \n42.8 \n \n184 \n \n18% \n \n13.3 \n \n45-54 \n \n502 \n \n15% \n \n35.9 \n \n193 \n \n19% \n \n13.8 \n \n55-64 \n \n337 \n \n10% \n \n25.8 \n \n177 \n \n17% \n \n13.5 \n \n65-74 \n \n134 \n \n4% \n \n14.5 \n \n61 \n \n6% \n \n6.6 \n \n75+ \n \n14 \n \n\u003c1% \n \n2.4 \n \n12 \n \n1% \n \n2.0 \n \nTotal 3,346 100% 31.5 1,016 100% \n \n9.6 \n \nNote: The first valid external cause of injury diagnosis was considered. See data considerations for more information. Source: Georgia Department of Public Health, Office of Health Indicators for Planning (OHIP) Hospital Inpatient Discharge and Emergency Room Visit Data 2019; OASIS 2019 Estimated Population \n \n5 Some hospitalizations may include emergency room visit information if the individuals were admitted into the same facility. Emergency room visits only include individuals who were discharged directly from the ER. Hospitalizations and emergency room visits include Georgia residents only, while fatalities can be a person out-of-state. \nPage 9 \n \n Trauma Center Patients \nAccording to the Georgia Trauma Registry data, motor vehicle traffic-related incidents (motor vehicle occupants, motorcyclists, pedestrians, and bicyclists) accounted for 32.4 percent of all injuries treated by designated and non-designated Trauma Centers6 in 2019 across the state of Georgia. In 2019, there were a total of 1,487 motorcyclists identified as trauma patients treated within Georgia Trauma Centers. \n Twenty-three percent of all trauma center \nmotorcyclist patients were 25-to-34 years of age (Table 12). \n Motorcyclists aged 21-to-24 years had the \nhighest rate of trauma care compared to any other age group  25.5 trauma patients for every 100,000 population. \n Nearly one out of every three motorcyclists (35 \npercent) treated at the trauma centers had minor injuries, and 12 percent had very severe injuries. \n \nTable 11: Motorcyclist Traffic-Related Trauma Center Patients by Age Group, 2019 \n \nAge Group \nChildren ( 14) \n15-20 \n \nNumber 47 128 \n \nPercent 3% 9% \n \nRate \nper 100,000 population \n2.3 \n14.5 \n \n21-24 \n \n144 \n \n25-34 \n \n338 \n \n35-44 \n \n254 \n \n10% 23% 17% \n \n25.5 22.6 18.4 \n \n45-54 \n \n262 \n \n18% \n \n18.7 \n \n55-64 \n \n223 \n \n15% \n \n17.1 \n \n65-74 \n \n81 \n \n5% \n \n8.7 \n \n75+ \n \n10 \n \n1% \n \n1.7 \n \nTotal 1,487 100% \nSource: Georgia Trauma Registry 2019 \n \n14.0 \n \nHelmet Use \nIn 2019, 17 percent of all motorcyclists involved in crashes, 15 percent of all motorcyclists with serious injuries, and 7 percent of motorcyclists fatally injured were un-helmeted (based on reported known helmet use). \n \nTable 12: Motorcyclists Involved in Crashes, Serious Injuries, and Fatalities by Helmet Use, 2019 \n \nMotorcyclists \n \nTotal \n \nHelmeted \n \n# \n \n% \n \nUn-helmeted \n \n# \n \n% \n \nUnknown \n \n# \n \n% \n \nPercent Based on Known Helmet Use \nHelmeted Un-helmeted \n \nMotorcyclists involved in crashes \n \n4,269 3,225 76% 642 \n \n15% 402 9% \n \n83% \n \n17% \n \nMotorcyclists with serious injuries \n \n705 578 82% 99 14% 28 4% \n \n85% \n \n15% \n \nFatally injured motorcyclists \n \n170 149 88% 11 6% 4 2% \n \n93% \n \n7% \n \nSource: CODES 2019, FARS 2019 Note: Although not all crashes are survivable, helmet use is still effective in preventing fatalities or serious head injuries. \n \n6 Not all hospitals are designated as Trauma Centers. \n \nPage 10 \n \n Since 1969, Georgia's universal helmet law7 has never been repealed or changed compared to most other states that have certain specifications for helmet use or no helmet law in place. Three out of the five bordering states (Tennessee, Alabama, and North Carolina) also have not repealed or changed their helmeted law. As a result, 149 (88 percent) of fatally injured motorcyclists were reported wearing a helmet in the state of Georgia in 2019  compared to 59 percent nationwide. \nHelmet use among Georgia motorcyclists resulted in an estimated 91 lives saved8. If all Georgia motorcyclists had worn helmets, an additional six lives would have been saved. Although not all crashes are survivable, helmet use is still effective in preventing fatalities or serious head injuries. According to the National Center for Statistics and Analysis, helmets are estimated to be 37 percent effective in preventing fatalities to motorcycle operators and 41 percent for motorcycle passengers.9 \"In other words, for every 100 motorcycle [operators] killed in crashes while not wearing helmets, 37 of them could have been saved had all 100 worn helmets.\" NHTSA estimates that Georgia saved $116 million in economic costs because of helmet use in 201710. \n \nContributing Circumstances \nIn 2019, the top contributing factors among motorcycle operators involved in fatal crashes were: (1) following improperly (2) operating vehicle in an erratic, reckless, or negligent manner; and (3) passing with insufficient distance or inadequate visibility or failure to yield to overtaking vehicle. The top contributing factors among motorcycle operators involved in all crashes: (1) driver lost control; (2) following too close; (3) speeding; (4) under the influence of alcohol/drugs; and (5) change lanes improperly. This does not imply that the motorcycle operators caused the crash either by their actions or failure to act. \n \nIn 2019, a total of 2,164 motorcycle operators involved in a crash were issued at least one citation and 281 motorcycle operator convictions were reported to DDS. These convictions include the unsafe operation of a motorcycle, improper use of motorcycle equipment, and no proof of insurance. \n \nFigure 5: Motorcycle Operators Convictions Reported to the Department of Driver Services, 2019 \n \nWinter \n \nSpring \n \nSummer \n \nFall \n \n17% (47) \n \n28% (78) \n \n33% (93) \n \n22% (63) \n \n0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% \n \n32 33 \n \n33 33 \n \n23 21 25 \n \n27 \n \n18 \n \n12 \n \n12 12 \n \nThe summer and spring months had a greater proportion of reported convictions compared to other seasons. \n \nJan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec \nSource: DDS 2019 Note: The convictions reported to DDS may not be the month the violation occurred. \n \n7 O.C.G.A. 40-6-315 8 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. 9 National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. National Highway Traffic Safety Administration. 10 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. \nPage 11 \n \n Speeding \nSpeed-related crashes are when the investigating police officer reports the driver (or motorcycle operator) exceeding the speed limit, driving too fast for conditions, or racing. In 2019, motorcycle operators represented: \n 11 percent (35 out of 326) of all speeding drivers involved in fatal crashes;  15 percent (110 out of 751) of all speeding drivers involved in serious injury crashes; and  2 percent (365 out of 1,4645) of all speeding drivers involved in all motor vehicle crashes. \n \nA greater proportion of motorcycle operators involved in fatal, serious injury, or motor vehicle crashes were speeding compared to other vehicle categories (Figure 6). In 2019: \n 18 percent of all motorcycle operators involved in fatal \ncrashes were speeding  compared to 14 percent for passenger car drivers, and eight percent for large truck drivers. \n 14 percent of all motorcycle operators involved in \nserious injury crashes were speeding. \n 8 percent of all motorcycle operators involved in all \nmotor vehicle crashes were speeding. \n \nFigure 6: Percent of Drivers or Motorcycle Operators Speeding by Vehicle Category and Crash Type, 2019 \n \n18% 14% \n \n14% \n \nMotorcycle Passenger Vehicles Large Trucks \n \n8% \n \n8% \n \n6% \n \n3% \n \n2% 1% \n \nFatal Crashes Serious Injury Crashes \nSource: FARS 2019, CODES 2019 \n \nAll Motor Vehicle Crashes \n \nTable 13 shows motorcycle operators involved in speed-related crashes by crash type and age group. Compared to other age groups, motorcycle operators 25-to-34 years represented: \n \n 30 percent of all motorcycle operators involved in all speed-related crashes.  36 percent of all motorcycle operators involved in speed-related serious injury crashes.  57 percent of all motorcycle operators involved in speed-related fatal crashes. \n \nTable 13: Motorcycle Operators Involved in Speed-Related Crashes by Crash Type and Age Group, 2019 \n \nAll Motor Vehicle Crashes Serious Injury Crashes \n \nFatal Crashes \n \nAge Group \n \nTOTAL \n \nSpeeding \n \nTOTAL \n \nSpeeding \n \nTOTAL \n \nSpeeding \n \nNumber Percent \n \nNumber Percent \n \nNumber Percent \n \nChildren ( 14) \n \n23 \n \n1 \n \n0% \n \n3 \n \n1 \n \n1% \n \n- \n \n- \n \n- \n \n15-20 \n \n304 \n \n43 12% \n \n52 \n \n9 \n \n8% \n \n8 \n \n1 \n \n3% \n \n21-24 \n \n510 \n \n64 18% \n \n85 \n \n15 14% \n \n15 \n \n3 \n \n9% \n \n25-34 \n \n1,096 \n \n110 30% \n \n207 \n \n40 36% \n \n51 \n \n20 \n \n57% \n \n35-44 \n \n751 \n \n61 17% \n \n152 \n \n20 18% \n \n39 \n \n7 \n \n20% \n \n45-54 \n \n690 \n \n52 14% \n \n142 \n \n15 14% \n \n37 \n \n2 \n \n6% \n \n55-64 \n \n524 \n \n22 \n \n6% \n \n104 \n \n6 \n \n5% \n \n19 \n \n- \n \n- \n \n65-74 \n \n250 \n \n5 \n \n1% \n \n41 \n \n3 \n \n3% \n \n21 \n \n2 \n \n6% \n \nUnknown \n \n158 \n \n7 \n \n2% \n \n8 \n \n1 \n \n1% \n \n- \n \n- \n \n- \n \nTOTAL \n \n4,306 \n \n365 100% \n \n794 \n \n110 100% \n \nNote: Tables do not show 16 motorcyclists transported by EMS of unknown sex and/or age. \n \nSource: Georgia Emergency Medical Services Information System (GEMSIS) 2019 \n \n190 \n \n35 \n \n100% \n \nPage 12 \n \n Alcohol Involvement \nAlcohol involvement is defined as whether alcohol was consumed by the motorcycle operator before the crash; the presence of alcohol may or may not be a contributing factor in the crash. Under Georgia law, it is a rebuttable presumed criminal offense to operate a motor vehicle at or above a 0.08 grams per deciliter (g/dL) blood alcohol concentration (BAC) tested via blood, breath, or urine. Georgia law also states drivers cannot operate a moving vehicle while under the influence of alcohol to the extent that it is less safe to drive. 11 Under this law, drivers can be cited and convicted of impaired driving even with a BAC below 0.08 g/dL. For example, a motorcycle operator whose BAC is not tested and fails a field sobriety test may be charged and convicted of driving under the influence of alcohol. \nOf all Georgia motorcycle crashes in 2019, 98 motorcycle operators were confirmed of alcohol impairment, and an additional 122 motorcycle operators were suspected of alcohol impairment. Of those motorcycle operators suspected of alcohol impairment, many did not have a BAC value reported in the police crash report; however, they were administered an alcohol test. \nTable 14 shows motorcycle operators involved in a fatal crash by BAC from 2015-2019. These motorcycle operators may or may not have been fatally injured in the crash. In 2019: \n 34 percent (62 out of 185) of motorcycle operators had a BAC of 0.00 or no alcohol.  2 percent (4 out of 185) of motorcycle operators had a BAC between 0.01 and 0.07.  12 percent (23 out of 185) of motorcycle operators had a BAC of 0.08 or above.  52 percent (96 out of 185) of motorcycle operators had an unknown or unreported BAC. \n \nTable 14: Motorcycle Operators Involved in a Fatal Crash by BAC, 2015-2019 \n \nYear \n \nMotorcycle Operators \n \nNo Alcohol \nBAC = 0.00 g/dL \nNumber Percent \n \nBAC = 0.01 - 0.07 g/dL \nNumber Percent \n \nAlcoholImpaired \n(BAC = 0.08+ g/dL) \nNumber Percent \n \nUnknown / Unreported \nNumber Percent \n \n2015 \n \n173 \n \n62 \n \n36% \n \n5 \n \n3% \n \n22 \n \n13% \n \n84 \n \n2016 \n \n185 \n \n72 \n \n39% \n \n5 \n \n3% \n \n21 \n \n11% \n \n87 \n \n2017 \n \n148 \n \n45 \n \n30% \n \n4 \n \n3% \n \n20 \n \n14% \n \n79 \n \n2018 \n \n169 \n \n57 \n \n34% \n \n11 \n \n7% \n \n21 \n \n12% \n \n80 \n \n2019 \n \n185 \n \n62 \n \n34% \n \n4 \n \n2% \n \n23 \n \n12% \n \n96 \n \nNote: Motorcycle operators may or may not have been fatally injured in the crash \n \nSource: FARS 2019 \n \n49% 47% 53% 47% 52% \n \nFor additional information, see the Appendix for the percent of motorcycle operators involved in motor vehicle crashes that were confirmed or suspected of alcohol impairment by county for 2019. \n \n11 O.C.G.A.  40-6-391(a)(1) \n \nPage 13 \n \n Data Definitions and Considerations: \nThis fact sheet defines motorcyclists as either the rider (motorcycle operator) or passenger. A motorcycle includes twoor three-wheeled motorcycles, off-road motorcycles, moped, motor scooters, minibikes, and pocket bikes. A large truck is any medium or heavy truck, excluding buses and motor homes, and can include commercial and non-commercial vehicles. Passenger vehicles include passenger cars, pickup trucks, vans, and sport utility vehicles (SUVs). \nMotorcycle registration data for 2019 was obtained from the Department of Revenue (DOR) by special request on the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \nA traffic crash is defined as an incident that involved one or more motor vehicles where at least one vehicle was in transport and the crash originated on a public trafficway, such as a road or highway. Crashes that occurred on private property, including parking lots and driveways, are excluded. \nFatal crashes are defined as crashes that involve a motor vehicle traveling on a trafficway customarily open to the public and that resulted in the death of a motorist or a non-motorist within 30 days of the crash. \nSerious injuries are those suspected serious injuries reported by law enforcement and used when any injury, other than fatal injury, prevent the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \nThe National Center for Health Statistics (NCHS), the Federal agency responsible for use of the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10) in the United States, has developed a clinical modification (CM) of the classification for morbidity (EMS, trauma, hospital, and ER data) purposes. ICD-10 Codes used were V20-V28 (.3 - .9), V29 (.4 - .9). \nFor fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of missing blood alcohol test results in FARS data system. A multiple imputation methodology is employed to generate specific values of BAC for persons involved in fatal crashes. \"No alcohol\" refers to a blood alcohol concentration (BAC) of .00 grams per deciliter (g/dL). For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol, may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \nContributing circumstances capture the precrash elements or improper actions of persons (motorcycle operators, pedestrians, bicyclists, and other motorists) that may have caused the crash. Contributing factors in fatal and nonfatal crashes are often underreported in the datasets. There is at least one record per person involved in a fatal crash (FARS Data) and some missing records for persons involved in motor vehicle traffic crashes (Crash Data). \nRural counties are counties that have a population of less than 50,000 according to the United States decennial census of 2010 or any future such census (O.C.G.A. Section 31-6-2). This is different than roadway classifications where urban road systems can be located in urban clusters (or metropolitan areas) of at least 2,500 persons within the rural counties. \nAt Intersection\" is used when a person is on a roadway either (1) in the intersection, (2) in the area between a crosswalk and the perimeter of the intersection, or (3) in a crosswalk (marked or unmarked) adjacent to an intersection. \"Intersection-Related\" is used when a person is within the trafficway 50 feet out from the perimeter of an intersection area or if the crash is related to the flow of traffic through an intersection. \"Not at Intersection\" is when the person is more than 50 feet out from the perimeter of an intersection and the crash is not identified as related to the movement of vehicles through an intersection. \"Non-Trafficway Locations\" are crashes that occur outside the boundaries of the trafficway (i.e., driveways or parking lots). \nPage 14 \n \n Additional Information: Other general information on motorcycle safety and traffic safety facts may be accessed at: \n Appendix: Motorcycles Georgia Traffic Safety Facts  https://www.gahighwaysafety.org/highway-safety/shsp/ References: National Center for Statistics and Analysis. (2020, June). Motorcycle helmet use in 2019  Overall results Traffic \nSafety Fact Research Note. (DOT HS 812 936). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812936 National Center for Statistics and Analysis (2011, March). Determining Estimates of Lives and Costs Saved by Motorcycle Helmets. (DOT HS 811 433). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811433 National Center for Statistics and Analysis (2019, December). Lives and Costs Saved by Motorcycle Helmets. (DOT HS 812 867). Washington, DC: National Highway Traffic Safety Administration. Available at https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812867 \nThe suggested APA format citation for this document is: Georgia Crash Outcomes Data Evaluation System. (2021, July). Motorcycles: 2019 data. (Georgia Traffic \nSafety Facts). Atlanta, GA: Governor's Office of Highway Safety. \nPage 15 \n \n "},{"id":"dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-bappendix-belec-p-btext","title":"Motorcycles, appendix, 2019","collection_id":"dlg_ggpd","collection_title":"Georgia Government Publications","dcterms_contributor":["Georgia Governor's Office of Highway Safety, issuing body."],"dcterms_spatial":["United States, Georgia, 32.75042, -83.50018"],"dcterms_creator":["Georgia Governor's Office of Highway Safety"],"dc_date":["2021-07"],"dcterms_description":["Appendix to fact sheet on motocycles in Georgia."],"dc_format":["application/pdf"],"dcterms_identifier":null,"dcterms_language":["eng"],"dcterms_publisher":["Atlanta, Ga. : Georgia Governor's Office of Highway Safety"],"dc_relation":null,"dc_right":["http://rightsstatements.org/vocab/InC/1.0/"],"dcterms_is_part_of":null,"dcterms_subject":["Motorcycling accidents--Georgia--Statistics--Periodicals"],"dcterms_title":["Motorcycles, appendix, 2019"],"dcterms_type":["Text"],"dcterms_provenance":["University of Georgia. Map and Government Information Library"],"edm_is_shown_by":["https://dlg.galileo.usg.edu/do:dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-bappendix-belec-p-btext"],"edm_is_shown_at":["https://dlg.galileo.usg.edu/id:dlg_ggpd_y-ga-bh575-ph51-bs1-bm68-b2019-bappendix-belec-p-btext"],"dcterms_temporal":null,"dcterms_rights_holder":null,"dcterms_bibliographic_citation":null,"dlg_local_right":null,"dcterms_medium":["state government records"],"dcterms_extent":null,"dlg_subject_personal":null,"iiif_manifest_url_ss":null,"dcterms_subject_fast":null,"fulltext":"Appendix \nMotorcycles Drivers Georgia Traffic Safety Facts (2019) \nThis document is the Appendix for the 2019 Motorcycles Georgia Traffic Safety Facts. Visit https://www.gahighwaysafety.org/highway-safety/shsp/ to access the full report. \n \nData Considerations: \n Alcohol-Related Crashes: For fatal crashes only, Blood Alcohol Concentration (BAC) values are imputed to address the problem of \nmissing blood alcohol test results in FARS data system. For motorists and non-motorists involved in a motor vehicle traffic crash that may or may not result in a fatal injury, many drivers confirmed or suspected of alcohol impairment will not have a BAC value reported in the police crash report. Drivers suspected of alcohol may have an alcohol test administered; however, the results or findings were not validated or included in the final police crash report. \n Motorcycle Registration: Motorcycle registration data for 2019 was obtained from the Department of Revenue (DOR) by special request \non the calendar year in lieu of state fiscal year. Although motorcycle registrations may use the terminology All-Terrain Vehicle (ATV) to describe off-road motorcycles, this fact sheet only considers any motorcycle involved in a crash on public roadways. Additionally, motorcycle registrations include commercial and non-commercial motorcycles. Commercial motorcycles include motorcycles owned by dealers or manufacturers. \n Suspected serious injuries: Suspected serious injuries are reported by law enforcement and used when any injury, other than fatal injury, \nprevent the injured person from walking, driving, or normally continuing the activities the person was capable of before the injury occurred. \n \nMotorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2019 \n \nCounty Name \nSTATEWIDE Appling Atkinson Bacon Baker Baldwin Banks Barrow Bartow Ben Hill Berrien Bibb Bleckley Brantley Brooks Bryan Bulloch Burke Butts \n \nMotorcycle Crashes \n \nAll \n3,948 2 4 8 \n11 18 58 \n2 1 74 5 4 19 34 24 9 \n \n% AlcoholRelated 220 (6%) 50% 25% 9% 6% 14% 5% 11% 9% 4% 11% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,269 \n \n875 (20%) \n \n2 \n \n50% \n \n4 \n \n50% \n \n- \n \n- \n \n- \n \n- \n \n8 \n \n13% \n \n14 \n \n29% \n \n22 \n \n32% \n \n66 \n \n33% \n \n2 \n \n- \n \n2 \n \n- \n \n80 \n \n25% \n \n- \n \n- \n \n5 \n \n40% \n \n5 \n \n80% \n \n20 \n \n10% \n \n34 \n \n15% \n \n25 \n \n20% \n \n11 \n \n45% \n \nClass M / MP Licensed Drivers 341,734 \n544 166 336 \n81 1,149 1,095 3,553 5,689 \n458 704 3,351 496 680 461 2,182 2,181 712 1,351 \n \nMotorcycle Registrations \n203,343 275 105 177 42 731 727 \n2,573 3,334 \n262 471 1,916 330 346 285 1,400 1,250 533 833 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2019 (con't) \n \nCounty Name \nSTATEWIDE Calhoun Camden Candler Carroll Catoosa Charlton Chatham Chattahoochee Chattooga Cherokee Clarke Clay Clayton Clinch Cobb Coffee Colquitt Columbia Cook Coweta Crawford Crisp Dade Dawson Decatur DeKalb Dodge Dooly Dougherty Douglas Early Echols Effingham Elbert Emanuel Evans Fannin Fayette Floyd Forsyth \n \nMotorcycle Crashes \n \nAll \n3,948 1 \n19 2 \n61 32 \n1 167 \n1 8 79 43 113 237 8 9 57 3 50 8 6 5 19 8 250 3 32 58 1 25 5 1 1 12 31 40 56 \n \n% AlcoholRelated 220 (6%) 5% 50% 13% 5% 25% 5% 7% 2% 5% 13% 5% 8% 13% 17% 5% 25% 4% 6% 5% 8% 100% 8% 3% 8% 5% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,269 \n \n875 (20%) \n \n2 \n \n- \n \n21 \n \n24% \n \n2 \n \n50% \n \n69 \n \n14% \n \n34 \n \n21% \n \n1 \n \n- \n \n176 \n \n18% \n \n1 \n \n- \n \n9 \n \n11% \n \n86 \n \n27% \n \n44 \n \n25% \n \n- \n \n- \n \n117 \n \n21% \n \n- \n \n- \n \n248 \n \n20% \n \n8 \n \n13% \n \n10 \n \n40% \n \n59 \n \n14% \n \n4 \n \n75% \n \n57 \n \n14% \n \n9 \n \n33% \n \n6 \n \n17% \n \n7 \n \n- \n \n21 \n \n5% \n \n9 \n \n33% \n \n268 \n \n16% \n \n4 \n \n- \n \n- \n \n- \n \n34 \n \n18% \n \n65 \n \n23% \n \n1 \n \n- \n \n- \n \n- \n \n27 \n \n7% \n \n5 \n \n40% \n \n1 \n \n- \n \n1 \n \n100% \n \n15 \n \n20% \n \n34 \n \n12% \n \n43 \n \n16% \n \n59 \n \n25% \n \nClass M / MP Licensed Drivers 341,734 \n120 2,934 \n336 5,254 2,846 \n298 7,842 \n362 1,099 11,996 2,195 \n86 4,770 \n157 22,278 \n1,026 1,205 6,057 \n530 7,458 \n673 624 814 1,595 697 12,684 587 288 1,821 5,056 311 108 3,524 865 630 320 1,867 5,353 4,146 8,677 \n \nMotorcycle Registrations \n203,343 63 \n1,818 231 \n3,218 1,699 \n181 4,835 \n220 562 7,166 1,331 \n29 3,137 \n85 13,052 \n632 685 3,514 274 4,335 444 310 441 1,132 391 7,071 311 206 1,029 3,238 164 \n85 2,249 \n481 444 194 1,191 3,009 2,363 5,161 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2019 (con't) \n \nCounty Name \nSTATEWIDE Franklin Fulton Gilmer Glascock Glynn Gordon Grady Greene Gwinnett Habersham Hall Hancock Haralson Harris Hart Heard Henry Houston Irwin Jackson Jasper Jeff Davis Jefferson Jenkins Johnson Jones Lamar Lanier Laurens Lee Liberty Lincoln Long Lowndes Lumpkin Macon Madison Marion McDuffie Mcintosh \n \nMotorcycle Crashes \n \nAll \n3,948 6 \n510 8 - \n28 26 \n6 4 230 14 99 1 10 8 10 5 97 41 3 35 8 3 2 5 2 6 16 4 34 9 49 52 3 10 2 3 4 \n \n% AlcoholRelated 220 (6%) 2% 11% 8% 33% 2% 14% 6% 30% 6% 10% 9% 13% 17% 6% 25% 3% 6% 100% 10% 25% \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,269 \n \n875 (20%) \n \n9 \n \n44% \n \n531 \n \n22% \n \n11 \n \n18% \n \n- \n \n- \n \n30 \n \n33% \n \n30 \n \n17% \n \n6 \n \n33% \n \n4 \n \n25% \n \n245 \n \n21% \n \n15 \n \n20% \n \n102 \n \n13% \n \n1 \n \n100% \n \n11 \n \n27% \n \n8 \n \n25% \n \n13 \n \n23% \n \n6 \n \n50% \n \n105 \n \n15% \n \n41 \n \n17% \n \n3 \n \n- \n \n42 \n \n19% \n \n11 \n \n45% \n \n3 \n \n- \n \n2 \n \n- \n \n- \n \n- \n \n- \n \n- \n \n5 \n \n40% \n \n2 \n \n- \n \n8 \n \n13% \n \n18 \n \n22% \n \n4 \n \n- \n \n36 \n \n14% \n \n- \n \n- \n \n10 \n \n30% \n \n52 \n \n17% \n \n57 \n \n12% \n \n5 \n \n20% \n \n10 \n \n20% \n \n3 \n \n67% \n \n4 \n \n25% \n \n5 \n \n40% \n \nClass M / MP Licensed Drivers 341,734 \n1,255 19,495 \n2,110 103 \n3,343 2,752 \n740 635 20,920 2,197 7,969 190 1,666 2,181 1,102 673 8,820 6,653 330 3,575 809 361 386 161 196 1,274 1,054 340 1,526 1,449 2,463 345 696 3,801 1,918 282 1,394 343 709 549 \n \nMotorcycle Registrations \n203,343 696 \n10,665 1,268 50 1,736 1,710 496 330 \n13,133 1,277 4,939 126 935 1,159 723 403 5,280 3,826 175 2,240 547 202 214 83 125 771 621 226 907 777 1,726 167 450 2,371 1,283 167 815 183 499 278 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2019 (con't) \n \nCounty Name \nSTATEWIDE Meriwether Miller Mitchell Monroe Montgomery Morgan Murray Muscogee Newton Oconee Oglethorpe Paulding Peach Pickens Pierce Pike Polk Pulaski Putnam Quitman Rabun Randolph Richmond Rockdale Schley Screven Seminole Spalding Stephens Stewart Sumter Talbot Taliaferro Tattnall Taylor Telfair Terrell Thomas Tift Toombs \n \nMotorcycle Crashes \n \nAll \n3,948 9 4 \n18 2 9 \n18 75 43 12 \n2 65 \n6 31 \n3 4 12 10 1 27 94 50 1 2 34 9 8 3 4 2 3 2 16 13 13 \n \n% AlcoholRelated 220 (6%) 11% 6% 6% 4% 2% 2% 17% 10% 8% 20% 4% 9% 6% 50% 18% 33% 6% 15% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,269 \n \n875 (20%) \n \n11 \n \n9% \n \n- \n \n- \n \n4 \n \n- \n \n19 \n \n26% \n \n3 \n \n33% \n \n9 \n \n11% \n \n21 \n \n24% \n \n79 \n \n15% \n \n52 \n \n23% \n \n13 \n \n- \n \n2 \n \n50% \n \n74 \n \n9% \n \n6 \n \n- \n \n34 \n \n18% \n \n3 \n \n67% \n \n4 \n \n25% \n \n13 \n \n15% \n \n- \n \n- \n \n12 \n \n42% \n \n1 \n \n100% \n \n33 \n \n21% \n \n- \n \n- \n \n101 \n \n11% \n \n54 \n \n28% \n \n1 \n \n- \n \n3 \n \n100% \n \n- \n \n- \n \n35 \n \n26% \n \n11 \n \n27% \n \n- \n \n- \n \n8 \n \n38% \n \n3 \n \n67% \n \n4 \n \n- \n \n2 \n \n50% \n \n- \n \n- \n \n3 \n \n- \n \n2 \n \n- \n \n16 \n \n38% \n \n14 \n \n29% \n \n16 \n \n19% \n \nClass M / MP Licensed Drivers 341,734 \n1,080 159 491 \n1,544 253 931 \n1,743 5,850 4,172 1,485 \n697 7,641 1,107 2,175 \n716 1,323 1,971 \n320 944 158 1,006 163 4,116 2,951 191 442 346 2,810 1,490 106 780 297 \n61 646 316 271 285 1,397 1,221 796 \n \nMotorcycle Registrations \n203,343 643 82 278 826 163 634 \n1,200 2,796 2,790 \n819 368 4,618 653 1,451 361 750 1,180 189 487 \n41 605 \n60 3,069 1,804 \n92 222 173 1,587 794 \n58 413 146 \n28 344 129 144 179 784 690 475 \n \n Motorcycle Crashes, Percent of Motorcycle Crashes with Alcohol Impaired Motorcycle Operators, Motorcyclists Involved in Crashes, Percent of Motorcyclists Seriously or Fatally Injured, Number of Drivers with Class M/MP Licenses, and Motorcycle Registrations by County, 2019 (con't) \n \nCounty Name \nSTATEWIDE Towns Treutlen Troup Turner Twiggs Union Upson Walker Walton Ware Warren Washington Wayne Webster Wheeler White Whitfield Wilcox Wilkes Wilkinson Worth Unknown \n \nMotorcycle Crashes \n \nAll \n3,948 10 1 23 4 5 35 9 32 40 11 1 3 2 1 21 46 2 2 5 7 5 \n \n% AlcoholRelated 220 (6%) 4% 6% 22% 13% 15% 33% 14% 9% 40% 14% - \n \nMotorcyclists (Operator \u0026 Passengers) \n \nInvolved in Crashes \n \n% Seriously or Fatally Injured \n \n4,269 \n \n875 (20%) \n \n14 \n \n43% \n \n1 \n \n- \n \n27 \n \n30% \n \n5 \n \n20% \n \n5 \n \n- \n \n40 \n \n13% \n \n9 \n \n44% \n \n35 \n \n26% \n \n42 \n \n31% \n \n11 \n \n- \n \n- \n \n- \n \n1 \n \n- \n \n4 \n \n25% \n \n2 \n \n50% \n \n1 \n \n- \n \n26 \n \n23% \n \n49 \n \n22% \n \n2 \n \n100% \n \n2 \n \n50% \n \n9 \n \n56% \n \n8 \n \n50% \n \n5 \n \n20% \n \nClass M / MP Licensed Drivers 341,734 \n912 205 2,828 270 376 2,155 1,361 3,142 4,348 1,194 134 544 1,074 \n67 142 1,731 3,573 229 364 355 836 \n- \n \nMotorcycle Registrations \n203,343 553 166 \n1,433 147 199 \n1,360 649 \n1,948 2,717 \n547 68 \n301 556 \n43 69 1,069 2,250 110 197 199 487 \n- \n \n "}],"pages":{"current_page":1,"next_page":null,"prev_page":null,"total_pages":1,"limit_value":10,"offset_value":0,"total_count":7,"first_page?":true,"last_page?":true},"facets":[{"name":"type_facet","items":[{"value":"Text","hits":7}],"options":{"sort":"count","limit":16,"offset":0,"prefix":null}},{"name":"creator_facet","items":[{"value":"Georgia Governor's Office of Highway Safety","hits":2}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"subject_facet","items":[{"value":"Georgia","hits":5},{"value":"Georgia Government Documents--Serial","hits":5},{"value":"Motorcycling accidents","hits":5},{"value":"Motorcycling accidents--Georgia--Statistics--Periodicals.","hits":5},{"value":"Motorcycling accidents--Georgia--Statistics--Periodicals","hits":2}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"location_facet","items":[{"value":"United States, Georgia, 32.75042, -83.50018","hits":7}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"year_facet","items":[{"value":"2021","hits":2},{"value":"2022","hits":2},{"value":"2023","hits":1},{"value":"2024","hits":1},{"value":"2025","hits":1}],"options":{"sort":"count","limit":100,"offset":0,"prefix":null},"min":"2021","max":"2025","count":7,"missing":0},{"name":"medium_facet","items":[{"value":"state government records","hits":7}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"fulltext_present_b","items":[{"value":"true","hits":7}],"options":{"sort":"count","limit":100,"offset":0,"prefix":null}},{"name":"rights_facet","items":[{"value":"http://rightsstatements.org/vocab/InC/1.0/","hits":7}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"collection_titles_sms","items":[{"value":"Georgia Government Publications","hits":7}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"serial_titles_sms","items":[{"value":"Georgia traffic safety facts.","hits":7},{"value":"Motorcycles (Georgia Governor's Office of Highway Safety)","hits":7},{"value":"Motorcycles.","hits":7}],"options":{"sort":"count","limit":11,"offset":0,"prefix":null}},{"name":"provenance_facet","items":[{"value":"University of Georgia. 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