In 2021, more than 44,000 male drivers were involved in fatal crashes in U.S. road traffic, which accounted for 72.3 percent of the total, while female drivers were involved in about 15,100 fatal crashes. The number of drivers who were involved in fatal crashes has shown an increase of about 16.2 percent from 2016.

The graph displays the number of car accident fatalities by type in the United States from 2010 to 2022. The x-axis represents the years, labeled from '10 to '22, while the y-axis indicates the number of fatalities. Each year includes data points for four categories: Passenger Vehicle, Pedestrian, Two-Wheeled Vehicle, and Large Truck fatalities. Passenger Vehicle fatalities range from a low of 21,076 in 2014 to a high of 26,650 in 2021. Pedestrian fatalities increase from 4,300 in 2010 to a peak of 7,467 in 2022. Two-Wheeled Vehicle fatalities vary between 5,022 in 2014 and 7,287 in 2022. Large Truck fatalities are the lowest among the categories, ranging from 346 in 2010 to 533 in 2022. The data reveals an overall upward trend in fatalities across all categories, particularly notable in the years 2021 and 2022.

From 2010 to 2020, there were consistently more men dying in traffic accidents in Sweden than women. The numbers for both genders were at their highest in 2018, when 292 men and 91 women were killed in traffic. In 2020, 199 men and 54 women were killed in traffic in Sweden, the lowest numbers during the time period.

The share of fatalities of the youth population of Saudi Arabia out of total traffic accident fatalities of the whole population was 26.7 percent for males and 3.6 percent for females in 2019. The youth population between the age of 15 to 34 was the highest in Saudi Arabia in 2020 among all age groups.

In 2022, there were a total of 1,815 deaths caused by traffic accidents in Spain. That year, approximately 1,411 fatal cases, corresponded to men, while the number of women who died from traffic collisions in the European country amounted to 404. Overall, more men than women died due to traffic accidents. However, since 2005, the registered number of fatalities caused under these circumstances experienced an overall downward trend for both men and women.

Interactive crash statistics with dynamic reports on road user deaths and injuries, locations and crash types

This statistic displays the number of fatalities in traffic accidents in Belgium from 2007 to 2019, by gender. In 2019, 500 of the fatal victims were male, compared with 135 female victims.

1. Scope and Object of Statistics: Traffic accidents occurring on roads within the area of New Taipei City (excluding railway accidents within the jurisdiction of the city) are within the scope and object of statistics.(1) Accidents caused by the operation of automobiles, motorcycles, or power machinery are included.(2) The accidents must occur on the road.(3) The accidents must involve fatalities (i.e. those meeting the reporting conditions for the A1 type of road traffic accident investigation report).2. Statistical Standard Time: The incidents occurring from the 1st day to the end of each month will be used as the basis.3. Classification Standard: Classified according to the number of deaths and injuries and the A1 classification of road traffic accidents.4. Relevant Laws and Regulations:(1) Road Traffic Accidents: According to Article 2 of the Road Traffic Management Penalty Regulations, road traffic accidents refer to accidents involving the death, injury, or loss of vehicles or property caused by the operation of automobiles, motorcycles, or power machinery on the road.(2) Road: Refers to public roads, streets, lanes, squares, arcades, corridors, or other places open to the public.(3) The data on the causes of the accidents are based on the first party involved.(4) Number of incidents: The number of incidents is calculated according to the definition of the A1 category, i.e. A1 category cases of death.(5) The gender of the party at fault is used for statistical purposes in managing traffic accident cases.(6) The gender of the injured or deceased party is used for statistical purposes in managing traffic accident cases.(7) Number of deaths: Number of deaths in the A1 category.(8) Number of injuries: The number of injured individuals is calculated after classifying A1 category cases of death.5. Data Collection Methods and Compilation Procedures: Each traffic unit of the New Taipei City Government Police Department will submit the road traffic accident investigation report completed for the month to the Traffic Police Brigade of this department for compilation. The data for the month will then be compiled into this form by branch.

The datasets contains year-, state-, gender- and age-group-wise compiled data on the number of drivers killed in road accidents. The different age groups covered in the dataset include less than 18 years, 18 to 25, 25 to 35, 35 to 45, 45 to 60, 60 and above years, along with persons whose age is not known.

As of 2018, fatalities occurred more often among men than women in all age groups. That year, 35 men in the age group 15 to 24 years died in road fatalities, whereas the corresponding number of women was eight individuals.

Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Mortality from land transport accidents (ICD-10 V01-V89 equivalent to ICD-9 E800-E829). This indicator replaces the motor vehicle traffic accidents (MVTAs) indicator (ICD-9 E810-E819) which does not have equivalent ICD-10 codes. To reduce deaths from land transport accidents. Legacy unique identifier: P00696

This data has been consolidated from Victoria Police reports and Hospital injury information, then validated and enriched to provide a comprehensive and detailed view of road crashes and injuries across Victoria. The data provides users with information about Victorian fatal and injury road crash data based on time, location, conditions, crash type, road user type, and other relevant attributes.\r \r \r \r \r Data Currency\r \r This information will be updated on a monthly basis but with a 7 month lag in order to provide a comprehensive view of incidents during that time period.\r \r \r \r \r Data Structure\r \r The CSV data is split across multiple tables with attributes to facilitate joins between the information. This has been captured as part of the supporting documentation in the metadata. The tables and attributes include: \- accident (basic accident details, time, severity, location) \- person (person based details, age, gender etc) \- vehicle (vehicle based data, vehicle type, make etc) \- accident\_event (sequence of events e.g. left road, rollover, caught fire) \- road\_surface\_cond (whether road was wet, dry, icy etc) \- atmospheric\_cond (rain, winds etc) \- sub\_dca (detailed codes describing accident) \- accident\_node (master location table \- NB subset of accident table) \- Node Table with Lat/Long references\r \r The GeoJSON dataset is a single flat file containing a subset of the attributes from the CSV files. It provides a single set of attributes for each road crash that has occurred within Victoria. Supporting documentation in the metadata will provide further details of the attributes.\r \r \r \r \r Disclaimer\r \r No claim is made as to the accuracy or currency of the content on this site at any time, there will be instances where attributes relating to a crash are amended over time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. Data relating to fatal crashes that have occurred recently are provisional and are subject to change or removal. They will have a high level of incompleteness and details will be amended before they are finalised. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.\r \r

Road accidents: Persons involved in accidents involving personal injury, traffic participation, age groups, gender — Saxony — year

Motor-vehicle deaths in the United States have decreased greatly since the 1970s and 1980s. In 2022, there were around 13.8 deaths from motor vehicles per 100,000 population, compared to a rate of 26.8 deaths per 100,000 in 1970. Laws requiring drivers and passengers to wear safety belts and advancements in safety technology in vehicles are major drivers for these reductions.

Motor-vehicle accidents in the U.S.

Americans spend a significant amount of time behind the wheel. Many cities lack convenient and reliable public transportation and especially in rural areas, cars are a necessary means of transportation. In 2020, August was the month with the highest number of fatal crashes, followed by September and June. The deadliest time of day for fatal vehicle crashes is between 6 and 9 p.m., most likely due to the after-work rush hour and more people who are under the influence of alcohol.

Drinking and driving among youth

Drinking and driving remains a relevant problem across the United States and can be especially problematic among younger inexperienced drivers. As of 2017, around 5.5 percent of high school students reported they had driven while under the influence of alcohol. Drinking and driving is more common among males than females and Hispanic males reported drinking and driving more than other races or ethnicities.

Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.