This project is concerned with understanding the determinants of racial bias in police traffic stops and in the city of Syracuse, New York. Using an officer-level panel of data on vehicle stops and vehicle searches by 512 officers from 2006 to 2009, the primary goal of this research is to better understand the effects of officer experience on their proclivities for racial bias in traffic stops, while controlling for officer, citizen, and neighborhood demographics. Included in these data are variables for census tracts as well as their racial and ethnic makeup, times and dates when traffic stops occurred, sunrise and sunset data for the City of Syracuse, and the racial and ethnic makeup of citizens involved in stops.

NOTE: Legislation has increased the types of information collected regarding stops. These changes took effect on July 1, 2018 and are reflected in the data sets LAPD RIPA (AB 953) STOP Incident Details from 7/1/2018 to Present & LAPD RIPA (AB 953) STOP Person Detail from 7/1/2018 to Present. This data set has been limited to show data from 2010 thru June 30, 2018 which was using the legacy requirements. This dataset reflects incidents of a vehicle or pedestrian being stopped by the Los Angeles Police Department in the City of Los Angeles dating back to 2010. This data is transcribed from original stop reports that are typed on paper and therefore there may be some inaccuracies within the data. This data is as accurate as the data in the database. Please note questions or concerns in the comments. This dataset is part of the Police Data Initiative (https://www.policedatainitiative.org/). For questions, contact the dataset owner or leave a comment.

음주, 과속, 무면허, 신호위반 등 통계자료

This study investigated whether the North Carolina State Highway Patrol (NCSHP) practiced racial profiling. The NCSHP provided data on all vehicular stops (Parts 1 and 2), written warnings (Part 3), and citations (Part 4) its officers issued in 2000. This included data on what the stops or tickets were for, the race, sex, and age of the driver, and the make, model, and year of the car being driven. Data on accidents in 2000 (Part 5), also obtained from the NCSHP, were used to examine whether there were racial disparities in unsafe driving practices. These data included information about what caused the accident and the race, sex, and age of the driver. The NCSHP also supplied data on all officers who worked for the NCSHP in 2000 (Part 6), including their race, age, and rank. The data in Part 6 can be linked to the data in Parts 3 and 4. In addition, two surveys of North Carolina drivers were conducted to gather information on reported typical driving behaviors that may influence the probability of being stopped, and to gather information about stops conducted by law enforcement agencies across the state. One was conducted using a sample of North Carolina drivers who had recently renewed their licenses (Part 7), and the other used a sample of North Carolina drivers who were ticketed for speeding between June 1, 1999, and June 1, 2000 (Part 8).

접수년월별 경찰관서별 신고성별 접수긴급유형별 사건종별 발생요일별 발생시간대 교통관련 민원 및 신고 건수를 집계하여 통계자료 제공 분석에 활용

경기도 의정부시 내 주정차 위반 발생 현황 데이터로 단속일시, 단속위치, 단속구분, 위도, 경도 등의 항목으로 구성되어 있습니다.

The Institute for Municipal and Regional Policy (IMRP) at Central Connecticut State University, in consultation with the Office of Policy and Management (OPM), has established a Racial Profiling Prohibition Advisory Board to help oversee the design, evaluation, and management of the racial profiling study mandated by PA 12-74, “An Act Concerning Traffic Stop Information.” The IMRP is working with the advisory board and all appropriate parties to enhance the collection and analysis of traffic stop data in Connecticut. Resources for the project are being made available through the National Highway Traffic and Safety Administration (NHTSA) grant, as administered through the Connecticut Department of Transportation. The primary purpose of the project is to monitor and prohibit racial profiling in Connecticut and to comply with NHTSA grant requirements and are outlined below. Analyze current racial profiling law and make recommendations to the Connecticut General Assembly to better align the statute to legislative intent and current best practices. Ensure compliance with the racial profiling law in as efficient, effective, transparent and inclusive a manner possible. Ensure compliance with NHTSA requirements of Section 1906 funding to include: Fund activities to prohibit racial profiling in the enforcement of State laws regulating the use of Federal-aid highways Collect, maintain and provide public access to traffic stop data Evaluate the results of such data; and develop and implement programs to reduce the occurrence of racial profiling, including programs to train law enforcement officers. The Racial Profiling Prohibition Project Advisory Board and the project staff have been meeting since May 2012 in an effort to outline a plan to successfully implement PA 12-74. The focus of this early phase of the project has been to better understand traffic stop data collection in other states. Four working groups were established to advise on various aspects of the process including; the standardized method for collecting, recording, reporting, and analyzing racial profiling data required by PA 12-74 and to accomplish tasks required to complete the Racial Profiling Prohibition Project. For more information contact: Ken Barrone Policy & Research Specialist Institute for Municipal & Regional Policy, Central Connecticut State University Tel: 860.832.1872 or Email: baroneket@ccsu.edu

경찰청 차량에 대한 데이터로 각 지방경찰청 및 부속기관의 차량 항복의 보유 현황을 제공합니다.(2020.12.31.기준)

연도별 대장별 운전면허 소지자 현황(1종대형, 1종보통, 1종소형, 대형견인 등)