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Showing 1 – 16 of 16 results.
Curated

Assessing Police Officers' Decision Making and Discretion in Making Traffic Stops in Savannah, Georgia, 2002 (ICPSR 4340)

Released/updated on: 2006-01-16
Geographic coverage: Savannah, United States, Georgia
Time period: 2002-04-01--2002-11-01
This study aimed to fill a void in the research regarding police behavior by focusing on the formation and creation of cognitive suspicion by officers. The study also examined formal actions (stops) taken by the police pursuant to that suspicion. The study was conducted using observational research methods and collected quantitative and qualitative data on officer suspicion. Data were collected by observers who rode along with patrol officers from April 2002 to November 2002. Field observers used three major data collection instruments in order to gather as much relevant information as possible from a variety of sources and in diverse situations. The Officer Form was an overall evaluation of the officer's decision-making characteristics, Suspicion Forms captured information each time an incident occurred, and a Suspect Form was a compilation of data from the citizen who had the encounter with the officer. Additional documents included informed consent forms, a card detailing the language to be used for the initial contact with citizens, and hourly activity forms. Anytime a suspicion was formed or a formal action was taken after a suspicion was formed, the observer debriefed the officer as to his or her thoughts and elicited the officer's overall rating of the encounter. Data in this collection include general demographic characteristics of the officer and the suspect, as well as the area in which the suspicion was formed. Data was also gathered regarding what led the officer to form a suspicion, and why a person was or was not stopped.
Curated
Restricted

Assessing the Impacts of Broken Windows Policing Strategies on Citizen Attitudes in Three California Cities: Redlands, Ontario and Colton, 2008-2009 (ICPSR 34427)

Released/updated on: 2016-06-20
Geographic coverage: Colton, Ontario (California), California, Redlands
Time period: 2008-03-01--2008-06-01, 2009-01-01--2009-04-01, 2008-03-01--2009-04-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study examined the impact that a six-month broken windows style policing crackdown on disorder had on residents of three California cities: Colton, Ontario and Redlands. The study investigated four questions:

  1. What is the impact of broken windows policing on fear of crime among residents of the targeted hot spots?
  2. What is the impact of broken windows policing on police legitimacy in the targeted hot spots?
  3. What is the impact of broken windows policing on reports of collective efficacy in the targeted hot spots?
  4. Is broken windows policing at hot spots effective in reducing both actual and perceived levels of disorder and crime in the targeted hot spots?

To answer these questions, a block randomized experimental design was employed to deliver a police intervention targeting disorder to 55 treatment street segments with an equal number of segments serving as controls.

Data were collected on the type and amount of crime before, during, and after implementation as well as interviews of residents before and after the crackdown in order to gauge their perception of its success.

Curated

Effects of Community Policing on Tasks of Street-Level Police Officers in Ohio, 1981 and 1996 (ICPSR 2481)

Released/updated on: 2005-11-04
Geographic coverage: United States, Ohio
These data were collected to analyze the impact of community-oriented policing (COP) on job assignments of police officers in Ohio. The study compared the self-reported job tasks of police officers in 1981 to those in 1996 to determine if job tasks had changed over time, if they differed between officers in departments pursuing community policing, or if they differed between officers assigned as "community policing" officers and those having more traditional assignments. The 1981 Ohio Peace Officer Task Analysis Survey was conducted to measure police officer tasks. A total of 1,989 police officers from over 300 Ohio police agencies responded to that survey. Recognizing that community policing had not yet begun to enjoy popularity when the first sample of officers was questioned in 1981 and that the job of policing and the training needs of peace officers had changed over the past 15 years, the Ohio Office of Criminal Justice Services again conducted a task analysis survey of a sample of police officers throughout the state in 1996. The 1996 survey instrument included 23 items taken directly from the earlier survey. These 23 items are the only variables from the 1981 survey that are included in this dataset, and they form the basis of the study's comparisons. A total of 1,689 officers from 229 police departments responded to the 1996 survey. Additionally, while the 1996 Peace Officer Task Analysis survey was in the field, the local police agencies included in the survey sample were asked to complete a separate agency survey to determine if they had a community policing program. A total of 180 departments returned responses to this agency survey. Background questions for the 1981 and 1996 task analysis surveys included police officers' age, race, sex, and job satisfaction. Items concerning police officers' job tasks covered frequency of conducting field searches of arrested persons, handcuffing suspects, impounding property, participating in raids, patrolling on foot, giving street directions, mediating family disputes, and engaging in school visits. The 1996 agency questionnaire gathered data on whether the police department had a COP program or a mission statement that emphasized community involvement, whether the COP program had an actual implementation date and a full-time supervisor, whether the respondents were currently assigned as COP officers, and whether the department's COP officers had had supplemental training.
Curated

Effects of Foot Patrol Policing in Boston, 1977-1985 (ICPSR 9351)

Released/updated on: 2006-01-12
Geographic coverage: United States, Massachusetts, Boston
Time period: 1977-01-01--1985-07-01
This collection evaluates the impact of a new foot patrol plan, implemented by the Boston Police Department, on incidents of crime and neighborhood disturbances. Part 1 contains information on service calls by types of criminal offenses such as murder, rape, aggravated assault, simple assault, robbery, larceny, burglary, and auto theft. It also contains data on types of community disturbances such as noisy party, gang, or minor disturbance and response priority of the incidents. Response priorities are classified according to a four-level scale: Priority 1: emergency calls including crimes in progress, high risk or personal injury, and medical emergencies, Priority 2: calls of intermediate urgency, Priority 3: calls not requiring immediate response, Priority 4: calls of undetermined priority. Parts 2 and 3 include information about patrol time used in each of the three daily shifts during the pre- and post-intervention periods. Part 4 presents information similar to Parts 2 and 3 but the data span a longer period of time--approximately seven years.
Curated

Enhancing the Research Partnership Between the Albany Police Department and the Finn Institute, 2005-2016 (ICPSR 37820)

Released/updated on: 2020-12-16
Geographic coverage: United States, New York (state), Albany (New York)
Time period: 2005-01-01--2016-01-01

The Finn Institute is an independent, not-for-profit corporation that conducts research on matters of public safety and security. The project provided for steps that would strengthen and enhance an existing police-researcher partnership, focused around analyses of proactive policing. As part of a research partnership with the Albany Police Department (APD) and the Finn Institute, this study was oriented around a basic research question: can proactive policing be conducted more efficiently, in the sense that a better ratio of high-value to lower-value stops is achieved, such that the trade-off between crime reduction and police community relations is mitigated.

Albany Resident Survey Dataset (DS1) unit of analysis was individuals. Variables include neighborhood crime and disorder, legitimacy and satisfaction with police service, and direct and vicarious experience with stop and perceptions of stops as a problem. Demographic variables include age, race, education, employment, marital status, and household count.

Management of "Smart Stops" Dataset (DS2) unit of analysis was investigatory stops; variables include records of individual stops, the month and year of the stop, whether the location of the stop was a high-crime location, whether the person stopped (or any of the persons stopped, if multiple people were stopped at one time) were high-risk, and whether the stop resulted in an arrest.

Trends in Proactive Policing Dataset (DS3) unit of analysis was APD officers. Variables include number of stops per quarter; variables include demographics such as officer characteristics such as their assignments, length of service, and gender.

Curated

Evaluating the Effects of Fatigue on Police Patrol Officers in Lowell, Massachusetts, Polk County, Florida, Portland, Oregon, and Arlington County, Virginia, 1997-1998 (ICPSR 2974)

Released/updated on: 2006-03-30
Geographic coverage: Oregon, United States, Lowell, Massachusetts, Portland (Oregon), Florida, Virginia
Time period: 1997-01-01--1998-01-01
This study was undertaken to assess the connections between administratively controllable sources of fatigue among police patrol officers and problems such as diminished performance, accidents, and illness. The study sought to answer: (1) What is the prevalence of officer fatigue, and what are officers' attitudes toward it? (2) What are the causes or correlates of officer fatigue? (3) How does fatigue affect officer safety, health, and job performance? and (4) Can officer fatigue be measured objectively? The final sample was comprised of all sworn, nonsupervisory police officers assigned full-time to patrol and/or community policing functions on the day that data collection began at each of four selected sites: Lowell, Massachusetts, Polk County, Florida, Portland, Oregon, and Arlington County, Virginia. Part 1, Fatigue Survey Data, includes demographic data and officers' responses from the initial self-report survey. Variables include the extent to which the respondent felt hot or cold, experienced uncomfortable breathing, bad dreams, or pain while sleeping, the time the respondent usually went to bed, number of hours slept each night, quality of sleep, whether medicine was taken as a sleep aid, estimated hours worked in a one-, two-, seven-, and thirty-day period, how overtime affected income, family relationships, and social activities, and reasons for feeling tired. Part 2, Demographic and Fatigue Survey Data, is comprised of data obtained from administrative records and demographic data forms. Several measures from the initial self-report survey are also included in Part 2. Variables focus on respondents' age, sex, race, marital status, global score on the Pittsburgh Sleep Quality Index scale, total years as a police officer assigned to any agency and current agency, and total years worked in current shift. Data for Part 3, FIT and Administrative Data, were obtained from administrative records and from the fitness-for-duty (FIT) workplace screener test. Variables include a pupilometry index score and the dates, time, and particular shift (days, evenings, or midnight) the officer started working when the pupilometry test was administered. Part 3 also includes the number of hours worked by the officer in a regular shift or in association with overtime, the number of sick leave hours taken by the officer, and whether the officer was involved in an on-duty accident, injured on duty, or commended by his/her department during a particular shift.
Curated

Evaluation of the Use of Computers in Patrol Cars by the San Francisco Police Department, 1999-2000 (ICPSR 3489)

Released/updated on: 2006-03-30
Geographic coverage: San Francisco, United States, California
Time period: 1999-01-01--2000-01-01
In an effort to reduce the workload of police officers participating in problem-solving and community-oriented activities, the San Francisco Police Department applied for and was awarded a Community Oriented Policing Services (COPS) Making Officer Redeployment Effective (MORE) grant in 1995 to integrate Mobile Computing Terminals (MCTs), or laptop computers, into its daily operations. The National Institute of Justice funded an evaluation of this COPS MORE initiative. The evaluation examined the efficacy of a technological intervention to improve operational efficiency, service quality, and the corresponding changes in officers' attitudes and behaviors associated with integrating the use of MCTs for computerized incident reporting into the work process. The two systematic methods of data collection used for this research project were pencil-and-paper surveys of officers' attitudes toward computers and community policing and direct observation of the behavior of officers on patrol, including measurements of time to complete reports and time engaged in police activities.
Curated

Impact of Community Policing at the Street Level: An Observational Study in Richmond, Virginia, 1992 (ICPSR 2612)

Released/updated on: 2006-03-30
This study's purpose was twofold: to investigate the nature of police patrol work in a community policing context and to field-test data collection instruments designed for systematic social observation. The project, conducted in Richmond, Virginia, where its police department was in the third year of a five-year plan to implement community policing, was designed as a case study of one police department's experience with community policing, focusing on officers in the patrol division. A team of eight researchers conducted observations with the police officers in the spring and summer of 1992. A total of 120 officers were observed during 125 observation sessions. Observers accompanied officers throughout their regular work shifts, taking brief field notes on officers' activities and encounters with the public. All of an observed officer's time during the shift was accounted for by either encounters or activities. Within 15 hours of the completion of the ridealong, the observer prepared a detailed narrative account of events that occurred during the ridealong and coded key items associated with these events. The study generated five nested quantitative datasets that can be linked by common variables. Part 1, Ridealong Data, provides information pertinent to the 125 observation sessions or "rides." Part 2, Activity Data, focuses on 5,576 activities conducted by officers when not engaged in encounters. Data in Part 3, Encounter Data, describe 1,098 encounters with citizens during the ridealongs. An encounter was defined as a communication between officers and citizens that took over one minute, involved more than three verbal exchanges between an officer and a citizen, or involved significant physical contact between the officer and citizen. Part 4, Citizen Data, provides data relevant to each of the 1,630 citizens engaged by police in the encounters. Some encounters involved more than one citizen. Part 5, Arrest Data, was constructed by merging Parts 1, 3, and 4, and provides information on 451 encounters that occurred during the ridealongs in which the citizen was suspected of some criminal mischief. All identification variables in this collection were created by the researchers for this project. Variables from Part 1 include date, start time, end time, unit, and beat assignment of the observation session, and the primary officer's and secondary officer's sex, race/ethnicity, years as an officer, months assigned to precinct and beat, hours of community policing training, and general orientation to community policing. Variables in Part 2 specify the time the activity began and ended, who initiated the activity, type, location, and visibility of the activity, involvement of the officer's supervisor during the activity, and if the activity involved problem-solving, or meeting with citizens or other community organizations. Part 3 variables include time encounter began and ended, who initiated the encounter, primary and secondary officer's energy level and mood before the encounter, problem as radioed by dispatcher, and problem as it appeared at the beginning of the encounter and at the end of the encounter. Information on the location of the encounter includes percent of time at initial location, visibility, officer's prior knowledge of the initial location, and if the officer anticipated violence at the scene. Additional variables focus on the presence of a supervisor, other police officers, service personnel, bystanders, and participants, if the officer filed or intended to file a report, if the officer engaged in problem-solving, and factors that influenced the officer's actions. Citizen information in Part 4 includes sex, age, and race/ethnicity of the citizen, role in the encounter, if the citizen appeared to be of low income, under the use of alcohol or drugs, or appeared to have a mental disorder or physical injury or illness, if the citizen was representing an establishment, if the citizen lived, worked, or owned property in the police beat, and if the citizen had a weapon. Also presented are various aspects of the police-citizen interaction, such as evidence considered by the officer, requests and responses to each other, and changes in actions during the encounter. Variables in Part 5 record the officer's orientation toward community policing, if the suspect was arrested or cited, if the offense was serious or drug-related, amount of evidence, if the victim requested that the suspect be arrested, if the victim was white, Black, and of low income, and if the suspect represented an organization. Information on the suspect includes gender, race, sobriety level, if of low income, if 19 years old or less, if actively resistant, if the officer knew the suspect adversarially, and if the suspect demonstrated conflict with others. Some items were recoded for the particular analyses for which the Arrest Data were constructed.
Curated

Increasing the Efficiency of Police Departments in Allegany County, New York, 1994-1995 (ICPSR 2558)

Released/updated on: 2006-03-30
Geographic coverage: United States, New York (state)
Time period: 1994-01-01--1995-01-01
This study sought to investigate the attitudes of residents and law enforcement personnel living or working in Allegany County, New York in order to (1) assess community support of law enforcement efforts to collaborate on projects, and (2) determine rural law enforcement agencies' willingness to work together on community policing projects and share resources in such a way as to improve and increase their overall individual and collective effectiveness and efficiency. Community policing, for this study, was defined as any law enforcement strategy designed to improve policy directed toward law enforcement interaction with community groups and citizens. Data were gathered from surveys that were distributed to two groups. First, to determine community perceptions of crime and attitudes toward the development of collaborative community policing strategies, surveys were distributed to the residents of the villages of Alfred and Wellsville and the town of Alfred in Allegany County, New York (Part 1, Community Survey Data). Second, to capture the ideas and perceptions of different types of law enforcement agencies regarding their willingness to share training, communication, and technology, surveys were distributed to the law enforcement agencies of Wellsville, Alfred, the New York State Police substation (located in the town of Wellsville), the county sheriff's department, and the Alfred State College and Alfred University public safety departments (Part 2, Law Enforcement Survey Data). For Part 1 (Community Survey Data), the residents were asked to rate their level of fear of crime, the reason for most crime problems (i.e., gangs, drugs, or unsupervised children), positive and negative contact with police, the presence and overall level of police service in the neighborhoods, and the importance of motor vehicle patrols, foot patrols, crime prevention programs, and traffic enforcement. Respondents were also asked whether they agreed that police should concentrate more on catching criminals (as opposed to implementing community-based programs), and if community policing was a good idea. Demographic data on residents includes their age, sex, whether they had been the victim of a property or personal crime, and the number of years they had lived in their respective communities. Demographic information for Part 2 (Law Enforcement Survey Data) includes the sex, age, and educational level of law enforcement respondents, as well as the number of years they had worked with their respective departments. Respondents were asked if they believed in and would support programs targeted toward youth, adults, the elderly, and merchants. Further queries focused on the number of regular and overtime hours used to train, develop, and implement department programs. A series of questions dealing with degrees of trust between the departments and levels of optimism was also asked to gauge attitudes that might discourage collaboration efforts with other departments on community-oriented programs. Officers were also asked to rate their willingness to work with the other agencies.
Curated
Restricted

Investigating the Impact of In-car Communication on Law Enforcement Officer Patrol Performance in an Advanced Driving Simulator in Mississippi, 2011 (ICPSR 34922)

Released/updated on: 2016-12-21
Geographic coverage: Mississippi, United States
Time period: 2011-06-01--2011-11-01

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.

This study used an experimental design to evaluate law enforcement officers' driving, visual attention, and situation awareness during patrol driving. The conditions were varied to determine the impact of information presentation formats on officers' ability to execute patrols. In addition, the effectiveness of in-vehicle technologies that may provide additional support to the officer and reduce the impact of information overload were investigated.

Curated

Policing Predicted Crime Areas: An Operationally-Realistic Randomized, Controlled Field Experiment, Philadelphia, Pennsylvania, 2015-2016 (ICPSR 37959)

Released/updated on: 2025-02-13
Geographic coverage: United States, Philadelphia, Pennsylvania
Time period: 2015-06-01--2016-01-31

The Philadelphia Predictive Policing Experiment was a place-based, randomized control trial to study the impact of different patrol strategies on violent and property crime in predicted crime areas. The experiment's goal was to learn whether different operationally-realistic police responses to crime forecasts, estimated by a predictive policing software program, would reduce crime. Specifically, the study tested whether greater awareness among general duties patrol officers of the predicted crime areas would be sufficient to deter crime, whether a dedicated uniform patrol attendance in predictive areas would increase visible police presence sufficiently in the local area to deter crime, or if dedicated plain-clothes units performing surveillance and unmarked patrol would increase interdiction and offender incapacitation sufficiently to reduce crime. With support of the Philadelphia Police Department, the study took place over two, three-month periods between 2015 and 2016.

Curated

Project on Policing Neighborhoods in Indianapolis, Indiana, and St. Petersburg, Florida, 1996-1997 (ICPSR 3160)

Released/updated on: 2007-06-01
Geographic coverage: Indiana, United States, St. Petersburg, Florida, Indianapolis
Time period: 1996-01-01--1997-01-01
The purpose of the Project on Policing Neighborhoods (POPN) was to provide an in-depth description of how the police and the community interact with each other in a community policing (CP) environment. Research was conducted in Indianapolis, Indiana, in 1996 and in St. Petersburg, Florida, in 1997. Several research methods were employed: systematic observation of patrol officers (Parts 1-4) and patrol supervisors (Parts 5-14), in-person interviews with patrol officers (Part 15) and supervisors (Parts 16-17), and telephone surveys of residents in selected neighborhoods (Part 18). Field researchers accompanied their assigned patrol or supervising officer during all activities and encounters with the public during the shift. Field researchers noted when various activities and encounters with the public occurred during these "ride-alongs," who was involved, and what happened. In the resulting data files coded observation data are provided at the ride level, the activity level (actions that did not involve interactions with citizens), the encounter level (events in which officers interacted with citizens), and the citizen level. In addition to encounters with citizens, supervisors also engaged in encounters with patrol officers. Patrol officers and patrol supervisors in both Indianapolis and St. Petersburg were interviewed one-on-one in a private interviewing room during their regular work shifts. Citizens in the POPN study beats were randomly selected for telephone surveys to determine their views about problems in their neighborhoods and other community issues. Administrative records were used to create site identification data (Part 19) and data on staffing (Part 20). This data collection also includes data compiled from census records, aggregated to the beat level for each site (Part 21). Census data were also used to produce district populations for both sites (Part 22). Citizen data were aggregated to the encounter level to produce counts of various citizen role categories and characteristics and characteristics of the encounter between the patrol officer and citizens in the various encounters (Part 23). Ride-level data (Parts 1, 5, and 10) contain information about characteristics of the ride, including start and end times, officer identification, type of unit, and beat assignment. Activity data (Parts 2, 6, and 11) include type of activity, where and when the activity took place, who was present, and how the officer was notified. Encounter data (Parts 3, 7, and 12) contain descriptive information on encounters similar to the activity data (i.e., location, initiation of encounter). Citizen data (Parts 4, 8, and 13) provide citizen characteristics, citizen behavior, and police behavior toward citizens. Similarly, officer data from the supervisor observations (Parts 9 and 14) include characteristics of the supervising officer and the nature of the interaction between the officers. Both the patrol officer and supervisor interview data (Parts 15-17) include the officers' demographics, training and knowledge, experience, perceptions of their beats and organizational environment, and beliefs about the police role. The patrol officer data also provide the officers' perceptions of their supervisors while the supervisor data describe supervisors' perceptions of their subordinates, as well as their views about their roles, power, and priorities as supervisors. Data from surveyed citizens (Part 18) provide information about their neighborhoods, including years in the neighborhood, distance to various places in the neighborhood, neighborhood problems and effectiveness of police response to those problems, citizen knowledge of, or interactions with, the police, satisfaction with police services, and friends and relatives in the neighborhood. Citizen demographics and geographic and weight variables are also included. Site identification variables (Part 19) include ride and encounter numbers, site beat (site, district, and beat or community policing areas [CPA]), and sector. Staffing variables (Part 20) include district, shift, and staffing levels for various shifts. Census data (Part 21) include neighborhood, index of socioeconomic distress, total population, and total white population. District population variables (Part 22) include district and population of district. The aggregated citizen data (Part 23) provide the ride and encounter numbers, number of citizens in the encounter, counts of citizens by their various roles, and by sex, age, race, wealth, if known by the police, under the influence of alcohol or drugs, physically injured, had a weapon, or assaulted the police, counts by type of encounter, and counts of police and citizen actions during the encounter.
Curated
Restricted

St Louis County Hot Spots in Residential Areas (SCHIRA) 2011-2013 (ICPSR 36098)

Released/updated on: 2017-12-13
Geographic coverage: United States, Missouri, St. Louis
Time period: 2010-01-01--2013-01-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study applied an experimental design to examine the crime and short- and long-term community impact of different hot spots policing approaches in 71 residential crime hot spots in St Louis County, MO. Hot spots were selected using Part I and Part II incidents in the year preceding the study (2011). The design contrasted a traditional enforcement-oriented hot spots approach versus place-based problem solving responses expected to change the routine activities of places over the long term. Twenty hot spots were randomly assigned to collaborative problem solving, while 20 were randomly assigned to directed patrol. Thirty-one randomly assigned hot spots received standard police practices. The treatment lasted five months (June-October, 2012).

In order to assess community impact, researchers conducted 2,851 surveys of hot spots residents over three time points: March-May, 2012, at baseline; November 2012-January 2013, immediately following treatment; and May-July 2013, six to nine months after treatment concluded. In addition to collecting data on the crime and community effects, the study also collected data on the time officers spent in hot spots and the activities performed while on directed patrol. Officers were surveyed to learn their views about implementing hot spots policing.

Curated

Street-Level View of Community Policing in the United States, 1995 (ICPSR 2798)

Released/updated on: 2000-05-09
Geographic coverage: United States
This study sought to examine community policing from a street-level officer's point of view. Active community police officers and sheriff's deputies from law enforcement agencies were interviewed about their opinions, experiences with, and attitudes toward community policing. For the study 90 rank-and-file community policing officers from 30 law enforcement agencies throughout the United States were selected to participate in a 40- to 60-minute telephone interview. The survey was comprised of six sections, providing information on: (1) demographics, including the race, gender, age, job title, highest level of education, and union membership of each respondent, (2) a description of the community policing program and daily tasks, with questions regarding the size of the neighborhood in terms of geography and population, work with citizens and community leaders, patrol methods, activities with youth/juveniles, traditional police duties, and agency and supervisor support of community policing, (3) interaction between community policing and non-community policing officers, (4) hours, safety, and job satisfaction, (5) police training, and (6) perceived effectiveness of community policing.
Curated
Restricted

Street Stops and Police Legitimacy: Accountability and Legal Socialization in Everyday Policing of Young Adults in New York City, 2011-2013 (ICPSR 35217)

Released/updated on: 2017-03-30
Geographic coverage: New York City, United States, New York (state)
Time period: 2011-09-20--2013-10-14

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.

This study interviewed young men living in New York City about their experiences being stopped by the police on the street or in their cars. It examined how experience with the police as well as general evaluations of police policies, practices and behaviors in the respondent's neighborhood shaped views about police legitimacy, and law related behavior, such as compliance with the law and cooperation with legal authorities.

Curated

Traffic Stop Data Collection Policies for State Police, 2004 (ICPSR 4288)

Released/updated on: 2005-09-02
Geographic coverage: United States
This collection contains survey data collected at the end of October 2004 from the 49 state law enforcement agencies in the United States that had traffic patrol responsibility. Information was gathered about their policies for recording race and ethnicity data for persons in traffic stops, including the circumstances under which demographic data should be collected for traffic-related stops and whether such information should be stored in an electronically accessible format. The survey was not designed to obtain available agency databases containing traffic stop records.