In 2024, authorities in Japan reported **** thousand accidents involving drunk driving. Fatal accidents are considerably more likely to occur when the motor vehicle driver is under the influence of alcohol.

Driving Under the Influence (DUI) Crashes reports the number of recorded DUI crashes, fatalities, and injuries per town, for a given year. Domain

Between 2017 and 2022, the number of reported cases of people driving under the influence of drugs was higher each year than people driving under the influence of alcohol in Sweden. Moreover, whereas the number of people reported driving under the influence of alcohol was between 11,000 and 12,000 from 2017 to 2019, it was below 10,000 the following years. In 2022, 12,000 cases of people driving under the influence of drugs were reported.

The number of drunk driving offenses recorded by the police in Finland fluctuated over the period from 1960 to 2023. In 2023, approximately 15,900 drunken driving offenses were recorded. This was a decrease of roughly 209 from the previous year.

Driving under the Influence Arrests reports the number and rate (per 10,000) of recorded DUI offenses, per age range.

These data measure the effects of blood alcohol content coupled with officer reports at the time of arrest on driving while intoxicated (DWI) case outcomes (jury verdicts and guilty pleas). Court records and relevant police reports for drunk-driving cases drawn from the greater metropolitan areas of Boston, Denver, and Los Angeles were compiled to produce this data collection. Cases were selected to include roughly equal proportions of guilty pleas, guilty verdicts, and not-guilty verdicts. DWI cases were compared on the quality and quantity of evidence concerning the suspect's behavior, with the evidence coming from any mention of 20 standard visual detection cues prior to the stop, 13 attributes of general appearance and behavior immediately after the stop, and the results of as many as 7 field sobriety tests. Questions concerned driving-under-the-influence cues (scoring sheet), observed traffic violations and actual traffic accidents, the verdict, DWI history, whether the stop resulted from an accident, whether the attorney was public or private, and sanctions that followed the verdict. Also included were demographic questions on age, sex, and ethnicity.

The graph presents DUI accident statistics in Missouri from 2013 to 2023. The x-axis represents the years from 2013 to 2023, while the y-axis shows the number of accidents involving alcohol and drugs separately. Alcohol-involved crashes range from a high of 5,234 incidents in 2013 to a low of 4,416 in 2022. Drug-involved crashes peaked at 1,134 in 2020 and reached their lowest point at 702 in 2022. The data reveals a general decline in both alcohol- and drug-related DUI crashes over the 11-year period, with notable decreases in 2022 for both categories.

In 2022, Texas was the state recording the highest volume of fatalities resulting from alcohol-impaired driving at ***** number of fatalities, followed by California, which reported around ***** fatalities from drunk driving. These two states alone, out of 51, account for nearly ********* of the total fatalities incurred by alcohol-impaired driving. The Golden state amounted to the largest share of motor vehicle registrations in the country in 2021.

Indiana is apparently on track to legalize Sunday package sales of alcoholic beverages for carry out. One argument promulgated by enemies of Sunday sales is that permitting such sales would significantly increase DUI and vehicle-related deaths due to alcohol. This dataset is to partially investigate that question.

This data was compiled from individual state records at Foundation for Advancing Alcohol Responsibility (https://www.responsibility.org/get-the-facts/state-map/) and the US Census. It consists only of data for the year 2015. That is all that was available from the FAAR web site, as far as I know.

In 2023, the authorities in Japan reported *** fatal accidents involving drunk driving, decreasing to a decade low. Fatal accidents were several times as likely to occur when the motor vehicle driver was under the influence of alcohol.

Objective: The objective of this study was to examine the effects of changes to Washington State’s alcohol ignition interlock laws: moving issuance of interlock orders from the courts to the driver licensing department (July 2003); extending the interlock order requirement to all persons convicted of driving under the influence (DUI; June 2004); allowing an interlock in lieu of an administrative driver’s license suspension (January 2009); and requiring proof of interlock installation to reinstate the driver’s license (January 2011). Method: Trends in conviction types, interlock installation rates, and 2-year cumulative recidivism rates were examined for first-time and repeat offenders with convictions stemming from DUI arrests during 1999–2012. Autoregressive integrated moving average (ARIMA) models examined the association between law changes and installation rates, law changes and recidivism rates, and installation rates and recidivism rates. Results: During the study period, there was a large increase in the proportion of first-time DUI arrests reduced to alcohol-related negligent/reckless driving convictions, offenses not requiring interlock orders. The interlock installation rate increased substantially and the recidivism rate declined substantially among both first and repeat offenders. Based on the ARIMA models for first offenders, the 2004 and 2009 law changes were associated with increased interlock installation rates and lower recidivism rates. For first offenders arrested during the last quarter of 2012, the model estimates a 26% reduction in the recidivism rate (from an expected 7.7% without the 4 laws to 5.6%). A 1 percentage point increase in the interlock installation rate was associated with a 0.06 percentage point decline in the recidivism rate among first offenders. If the association carried forward and if the installation rate had been 100% rather than 38% in the last quarter of 2012, the 2-year recidivism rate would have been reduced from 5.6 to 2%. Among repeat offenders, the 2003 and 2009 law changes were associated with increased interlock installation rates, and the 2009 law change was associated with a nonsignificant decline in recidivism. Conclusions: In Washington, rates of interlock installations increased as interlock laws were strengthened, and the increase was associated with reductions in recidivism among first DUI offenders. Washington’s experience suggests that states can reduce DUI recidivism by requiring interlock orders for all offenders, allowing offenders to install interlocks in lieu of an administrative driver’s license suspension, and closing statutory loopholes that allow plea reductions to convictions without interlock orders.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.

DISCLAIMER: This chart may be based on preliminary information that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information provided in this chart.

SUMMARY: This chart contains information related to arrests for driving under the influence by county and gender as recorded by the Vermont State Police between January 1, 2013 and the previous month. These data are extracted from the Vermont State Police records management system on a monthly basis. This chart is made available in an effort to enhance the transparency of law enforcement activities in Vermont. Should you have questions about this chart, please contact Scott Waterman at the Vermont State Police (802-241-5312 | scott.waterman@vermont.gov). If you have questions about the underlying dataset, please contact the specific law enforcement agency as they are each responsible for their own records. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.

Driving under the influence of alcohol or drugs (violating Article 35 of the Road Traffic Management Punishment Regulations) Gender Statistics

The Jail Bookings Open Data dataset is provided by the King County Department of Adult and Juvenile Detention. The dataset contains adult jail bookings which have occurred within the last twelve months; specific dates are indicated on the web site.

The data provided is a snapshot and is current as of the date and time it was extracted from the jail management systems. Every effort has been made to ensure the accuracy of data listed at the time of extraction. Updates, corrections, and additions may have occurred since the extraction date and time.

This dataset provides information associated with the booking of an individual into a King County jail facility, and not with any court cause, case, or criminal filing pursuant to the booking event. This information does not reflect the criminal history or criminal status of any inmate currently or previously in custody.

Current information about a specific booking event can be obtained by calling the Department of Adult and Juvenile Detention at (206) 296-1234 or by visiting our Jail Inmate Lookup Service (JILS). http://ingress.kingcounty.gov/inmatelookup/

Updated daily postings on Montgomery County’s open data website, dataMontgomery, provide the public with direct access to crime statistic databases - including raw data and search functions – of reported County crime. The data presented is derived from reported crimes classified according to the National Incident-Based Reporting System (NIBRS) of the Criminal Justice Information Services (CJIS) Division Uniform Crime Reporting (UCR) Program and documented by approved police incident reports. The data is compiled by “EJustice”, a respected law enforcement records-management system used by the Montgomery County Police Department and many other law enforcement agencies. To protect victims’ privacy, no names or other personal information are released. All data is refreshed on a quarterly basis to reflect any changes in status due to on-going police investigation.

dataMontgomery allows the public to query the Montgomery County Police Department's database of founded crime. The information contained herein includes all founded crimes reported after July 1st 2016 and entered to-date utilizing Uniform Crime Reporting (UCR) rules. Please note that under UCR rules multiple offenses may appear as part of a single founded reported incident, and each offense may have multiple victims. Please note that these crime reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the crime data available on this web page may reflect:

-Information not yet verified by further investigation -Information that may include attempted and reported crime -Preliminary crime classifications that may be changed at a later date based upon further investigation -Information that may include mechanical or human error -Arrest information [Note: all arrested persons are presumed innocent until proven guilty in a court of law.]

Update Frequency: Daily

This dataset contains information on Death Rate according to age and race which is caused by impaired driving in year 2012 and 2014.

This statistic shows the percentage of youth aged 12 to 20 years who drove while under the influence of alcohol or in combination of illegal drugs in the past year in the U.S. from 1995 to 2015. In 2015, approximately four percent of underage individuals drove while drunk in the past year.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the end of last year (2016). For additional details, please see the attached data dictionary in the ‘About’ section.