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.

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.

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.

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.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

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.

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

****Dataset Description: Road Accident Records****

This dataset contains detailed records of road accidents occurring within a specific geographic region over a defined period. The data encompasses various attributes related to each accident, providing valuable insights into factors contributing to road safety issues.

Attributes Included:

1. Accident ID: A unique identifier assigned to each accident for reference and tracking purposes.
2. Date and Time: The date and time when the accident occurred, facilitating temporal analysis and trend identification.
3. Location: The precise geographical coordinates or address where the accident took place, enabling spatial analysis and mapping.
4. Severity: The severity level of the accident, categorized based on the extent of injuries, property damage, or fatalities.
5. Weather Conditions: Information about weather conditions prevailing at the time of the accident, such as clear, rainy, foggy, or snowy weather.
6. Road Conditions: Description of road conditions, including dry, wet, icy, or slippery surfaces.
7. Vehicle Involved: Details about vehicles involved in the accident, including types, models, and counts.
8. Contributing Factors: Factors contributing to the accident, such as speeding, distracted driving, drunk driving, road defects, or mechanical failures.
9. Injuries and Fatalities: Number of individuals injured or killed as a result of the accident.
10. Vehicle Maneuvers: Description of maneuvers or actions taken by vehicles involved, such as turning, braking, or overtaking.

Potential Uses:

1. Safety Analysis: Identifying high-risk locations, times, and conditions to develop targeted safety measures and interventions.
2. Predictive Modeling: Building predictive models to anticipate and prevent accidents based on historical patterns and contributing factors.
3. Policy Formulation: Informing policymaking and infrastructure planning to improve road safety and reduce accident rates.
4. Public Awareness Campaigns: Designing targeted awareness campaigns to educate drivers about common risk factors and safe driving practices.
5. Law Enforcement: Supporting law enforcement efforts by identifying areas with high accident rates and enforcing traffic regulations accordingly.

Data Source:

The dataset is sourced from official accident reports, police records, or other reliable sources authorized to collect and maintain such data. Care has been taken to ensure accuracy and completeness, although some discrepancies may exist due to reporting errors or data collection limitations.

Note: Use of this dataset for research, analysis, or other purposes should adhere to relevant data privacy and ethical guidelines, ensuring responsible use and respect for individual privacy rights.

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.

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.

This collection focuses on how changes in the legal drinking age affect the number of fatal motor vehicle accidents and crime rates. The principal investigators identified three areas of study. First, they looked at blood alcohol content of drivers involved in fatal accidents in relation to changes in the drinking age. Second, they looked at how arrest rates correlated with changes in the drinking age. Finally, they looked at the relationship between blood alcohol content and arrest rates. In this context, the investigators used the percentage of drivers killed in fatal automobile accidents who had positive blood alcohol content as an indicator of drinking in the population. Arrests were used as a measure of crime, and arrest rates per capita were used to create comparability across states and over time. Arrests for certain crimes as a proportion of all arrests were used for other analyses to compensate for trends that affect the probability of arrests in general. This collection contains three parts. Variables in the Federal Bureau of Investigation Crime Data file (Part 1) include the state and year to which the data apply, the type of crime, and the sex and age category of those arrested for crimes. A single arrest is the unit of analysis for this file. Information in the Population Data file (Part 2) includes population counts for the number of individuals within each of seven age categories, as well as the number in the total population. There is also a figure for the number of individuals covered by the reporting police agencies from which data were gathered. The individual is the unit of analysis. The Fatal Accident Data file (Part 3) includes six variables: the FIPS code for the state, year of accident, and the sex, age group, and blood alcohol content of the individual killed. The final variable in each record is a count of the number of drivers killed in fatal motor vehicle accidents for that state and year who fit into the given sex, age, and blood alcohol content grouping. A driver killed in a fatal accident is the unit of analysis.