This table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]. Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.

The graph displays speeding-related accident statistics in Missouri from 2013 to 2023. The x-axis represents the years, ranging from '13 to '23, while the y-axis indicates the number of crashes where speeding was a contributing factor. Over this 11-year period, the number of speeding-related crashes ranges from a high of 16,238 in 2019 to a low of 10,273 in 2023. A notable decline is observed after 2019, with the figures steadily dropping through 2023. The data is presented in a line graph format to illustrate the yearly fluctuations and trends in speeding-related accidents.

This dataset contains information about vehicles (or units as they are identified in crash reports) involved in a traffic crash. This dataset should be used in conjunction with the traffic Crash and People dataset available in the portal. “Vehicle” information includes motor vehicle and non-motor vehicle modes of transportation, such as bicycles and pedestrians. Each mode of transportation involved in a crash is a “unit” and get one entry here. Each vehicle, each pedestrian, each motorcyclist, and each bicyclist is considered an independent unit that can have a trajectory separate from the other units. However, people inside a vehicle including the driver do not have a trajectory separate from the vehicle in which they are travelling and hence only the vehicle they are travelling in get any entry here. This type of identification of “units” is needed to determine how each movement affected the crash. Data for occupants who do not make up an independent unit, typically drivers and passengers, are available in the People table. Many of the fields are coded to denote the type and location of damage on the vehicle. Vehicle information can be linked back to Crash data using the “CRASH_RECORD_ID” field. Since this dataset is a combination of vehicles, pedestrians, and pedal cyclists not all columns are applicable to each record. Look at the Unit Type field to determine what additional data may be available for that record. The Chicago Police Department reports crashes on IL Traffic Crash Reporting form SR1050. The crash data published on the Chicago data portal mostly follows the data elements in SR1050 form. The current version of the SR1050 instructions manual with detailed information on each data elements is available here. Change 11/21/2023: We have removed the RD_NO (Chicago Police Department report number) for privacy reasons.

In 2024, the state of California reported ***** motor-vehicle deaths, an increase from the year before. Death from motor-vehicles remains a relevant problem across the United States. Motor-vehicle deaths in the United States In the United States, a person’s lifetime odds of dying in a motor vehicle accident is around * in **. Death rates from motor vehicles have decreased in recent years and are significantly lower than the rates recorded in the ***** and *****. This is due to a mass improvement in car safety standards and features. For example, all states, with the exception of New Hampshire, have laws against not wearing safety belts. Drinking and driving One of the biggest causes of motor-vehicle deaths is driving while under the influence of alcohol. The state with the highest number of fatalities due to alcohol-impaired driving in 2022 was Texas, followed by California and Florida. Light trucks are the vehicle type most often involved in fatal crashes caused by alcohol-impaired drivers, with around ***** such accidents in the United States in 2022.

The traffic accident and casualties statistics tabulated in this dataset are compiled and retrieved from the Transport Information System developed and enhanced by the Road Safety and Standards Division. The accidents included are those personal injury accidents reported to the Police and do not include damage-only accidents.

In 2022, the highest number of fatalities in traffic accidents occurred among Swedes between 15 and 44 years, with 88 cases. In comparison, there were 52 registered fatalities among Swedes aged 75 years or more. Only five people between one and 14 died in traffic accidents in Sweden in 2022. The most common cause of death in Sweden in 2022 was diseases in the circulatory system.

Highways Statistics: Traffic Accidents: Wounded Victims: Paraná data was reported at 5,601.000 Unit in 2017. This records a decrease from the previous number of 5,764.000 Unit for 2016. Highways Statistics: Traffic Accidents: Wounded Victims: Paraná data is updated yearly, averaging 6,512.500 Unit from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 7,098.000 Unit in 2012 and a record low of 2,884.000 Unit in 1998. Highways Statistics: Traffic Accidents: Wounded Victims: Paraná data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

Brazil Highways Statistics: Traffic Accidents: Vehicles Involved data was reported at 200,303.000 Unit in 2017. This records an increase from the previous number of 195,017.000 Unit for 2016. Brazil Highways Statistics: Traffic Accidents: Vehicles Involved data is updated yearly, averaging 112,260.000 Unit from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 211,279.000 Unit in 2012 and a record low of 22,317.000 Unit in 1998. Brazil Highways Statistics: Traffic Accidents: Vehicles Involved data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

This data contains information about people involved in a crash and if any injuries were sustained. This dataset should be used in combination with the traffic Crash and Vehicle dataset. Each record corresponds to an occupant in a vehicle listed in the Crash dataset. Some people involved in a crash may not have been an occupant in a motor vehicle, but may have been a pedestrian, bicyclist, or using another non-motor vehicle mode of transportation. Injuries reported are reported by the responding police officer. Fatalities that occur after the initial reports are typically updated in these records up to 30 days after the date of the crash. Person data can be linked with the Crash and Vehicle dataset using the “CRASH_RECORD_ID” field. A vehicle can have multiple occupants and hence have a one to many relationship between Vehicle and Person dataset. However, a pedestrian is a “unit” by itself and have a one to one relationship between the Vehicle and Person table. The Chicago Police Department reports crashes on IL Traffic Crash Reporting form SR1050. The crash data published on the Chicago data portal mostly follows the data elements in SR1050 form. The current version of the SR1050 instructions manual with detailed information on each data elements is available here. Change 11/21/2023: We have removed the RD_NO (Chicago Police Department report number) for privacy reasons.

Provide information on traffic accidents that resulted in injuries or fatalities exceeding 24 hours (Category A2).

A. SUMMARY This table contains all victims (parties who are injured) involved in a traffic crash resulting in an injury in the City of San Francisco. Fatality year-to-date crash data is obtained from the Office of the Chief Medical Examiner (OME) death records, and only includes those cases that meet the San Francisco Vision Zero Fatality Protocol maintained by the San Francisco Department of Public Health (SFDPH), San Francisco Police Department (SFPD), and San Francisco Municipal Transportation Agency (SFMTA). Injury crash data is obtained from SFPD’s Interim Collision System for 2018 to YTD, Crossroads Software Traffic Collision Database (CR) for years 2013-2017 and the Statewide Integrated Transportation Record System (SWITRS) maintained by the California Highway Patrol for all years prior to 2013. Only crashes with valid geographic information are mapped. All geocodable crash data is represented on the simplified San Francisco street centerline model maintained by the Department of Public Works (SFDPW). Collision injury data is queried and aggregated on a quarterly basis. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point and injury and fatality crashes occurring on highways are excluded.

The crash, party, and victim tables have a relational structure. The traffic crashes table contains information on each crash, one record per crash. The party table contains information from all parties involved in the crashes, one record per party. Parties are individuals involved in a traffic crash including drivers, pedestrians, bicyclists, and parked vehicles. The victim table contains information about each party injured in the collision, including any passengers. Injury severity is included in the victim table.

For example, a crash occurs (1 record in the crash table) that involves a driver party and a pedestrian party (2 records in the party table). Only the pedestrian is injured and thus is the only victim (1 record in the victim table).

B. HOW THE DATASET IS CREATED Traffic crash injury data is collected from the California Highway Patrol 555 Crash Report as submitted by the police officer within 30 days after the crash occurred. All fields that match the SWITRS data schema are programmatically extracted, de-identified, geocoded, and loaded into TransBASE. See Section D below for details regarding TransBASE.

C. UPDATE PROCESS After review by SFPD and SFDPH staff, the data is made publicly available approximately a month after the end of the previous quarter (May for Q1, August for Q2, November for Q3, and February for Q4).

D. HOW TO USE THIS DATASET This data is being provided as public information as defined under San Francisco and California public records laws. SFDPH, SFMTA, and SFPD cannot limit or restrict the use of this data or its interpretation by other parties in any way. Where the data is communicated, distributed, reproduced, mapped, or used in any other way, the user should acknowledge TransBASE.sfgov.org as the source of the data, provide a reference to the original data source where also applicable, include the date the data was pulled, and note any caveats specified in the associated metadata documentation provided. However, users should not attribute their analysis or interpretation of this data to the City of San Francisco. While the data has been collected and/or produced for the use of the City of San Francisco, it cannot guarantee its accuracy or completeness. Accordingly, the City of San Francisco, including SFDPH, SFMTA, and SFPD make no representation as to the accuracy of the information or its suitability for any purpose and disclaim any liability for omissions or errors that may be contained therein. As all data is associated with methodological assumptions and limitations, the City recommends that users review methodological documentation associated with the data prior to its analysis, interpretation, or communication.

This dataset can also be queried on the TransBASE Dashboard. TransBASE is a geospatially enabled database maintained by SFDPH that currently includes over 200 spatially referenced variables from multiple agencies and across a range of geographic scales, including infrastructure, transportation, zoning, sociodemographic, and collision data, all linked to an intersection or street segment. TransBASE facilitates a data-driven approach to understanding and addressing transportation-related health issues, informed by a large and growing evidence base regarding the importance of transportation system design and land use decisions for health. TransBASE’s purpose is to inform public and private efforts to improve transportation system safety, sustainability, community health and equity in San Francisco.

E. RELATED DATASETS Traffic Crashes Resulting in Injury Traffic Crashes Resulting in Injury: Parties Involved TransBASE Dashboard iSWITRS TIMS

In 2022, the number of fatalities in road traffic accidents in Indonesia was approximately ***** thousand persons, indicating an increase compared to the previous year. During the time under consideration, the highest number of fatalities was reached in 2017, with over ** thousand persons dying in traffic accidents.

The World Health Organization Database provides data on road traffic deaths for the years 2013 and 2016 for all countries. It shows the estimated number of road traffic deaths and the estimated road traffic death rate per 100,000 population.

• Statistical data on traffic accidents by vehicle type of the perpetrator and the victim driver (the number of accidents, the number of fatalities, the number of serious injuries, the number of light injuries, the number of reported injuries)
  • Statistics on traffic accidents investigated and handled by the police, counting only accidents with human damage
  • Based on data from Traffic Accident Analysis System (http://taas.koroad.or.kr)

Traffic Accidents: Dead: Tlaxcala data was reported at 2.000 Person in Dec 2017. This records a decrease from the previous number of 4.000 Person for Nov 2017. Traffic Accidents: Dead: Tlaxcala data is updated monthly, averaging 4.000 Person from Jan 2012 (Median) to Dec 2017, with 72 observations. The data reached an all-time high of 16.000 Person in Feb 2012 and a record low of 0.000 Person in Aug 2017. Traffic Accidents: Dead: Tlaxcala data remains active status in CEIC and is reported by Secretary of Communications and Transportations. The data is categorized under Global Database’s Mexico – Table MX.TA011: Traffic Accidents: by State.

In 2023, the number of deaths caused by traffic accidents amounted to approximately 11,628 cases in Vietnam. This indicated a decrease from the previous year. From 2013 to 2021, the number of traffic deaths has gradually declined, then increased dramatically in 2022, with the number of deaths due to crashes double than that in 2021.

Brazil Highways Statistics: Traffic Accidents: Wounded Victims: Other Programs data was reported at 3,287.000 Unit in 2017. This records a decrease from the previous number of 3,719.000 Unit for 2016. Brazil Highways Statistics: Traffic Accidents: Wounded Victims: Other Programs data is updated yearly, averaging 2,373.500 Unit from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 4,075.000 Unit in 2012 and a record low of 673.000 Unit in 2000. Brazil Highways Statistics: Traffic Accidents: Wounded Victims: Other Programs data remains active status in CEIC and is reported by Brazilian Association of Highway Concessionaires. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAW008: Highways Statistics: Traffic Accidents. The Brazilian Association of Highway Concessionaires-ABCR represents the highway concession sector.

This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or the officer issuing the violation will not be published. Update Frequency: Daily