In Saint Petersburg, the second-largest city of Russia also referred to as the cultural capital of the country, the number of registered crimes increased in 2023, measuring at around 67,000. In the previous year, Saint Petersburg's law enforcement authorities recorded approximately 4,000 fewer crimes.

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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 contains Uniform Crime Report geocoded data obtained from St. Petersburg Police Department, Orlando Police Department, and Miami-Dade Police Department for the years between 2010 and 2014. The three primary goals of this study were: to determine whether Florida law HB 7095 (signed into law on June 3, 2011) and related legislation reduced the number of pain clinics abusively dispensing opioid prescriptions in the State to examine the spatial overlap between pain clinic locations and crime incidents to assess the logistics of administering the law The study includes: 3 Excel files: MDPD_Data.xlsx (336,672 cases; 6 variables), OPD_Data.xlsx (160,947 cases; 11 variables), SPPD_Data.xlsx (211,544 cases; 14 variables) 15 GIS Shape files (95 files total) Data related to respondents' qualitative interviews and the Florida Department of Health are not available as part of this collection. For access to data from the Florida Department of Health, interested researchers should apply directory to the FDOH.

The following data is from the St. Petersburg Police Department’s Computer-Aided Dispatch (CAD) system. Under Florida State Statute 119.071, victim information (i.e. addresses) associated with Sexual Battery, Sexual Offenses, Child Abuse, and Adult Abuse are considered confidential and exempt from public release. The data includes all officer responses to Priority 1, 2, 3, 4, 6, 7 and 9, calls for service. These calls for service don’t necessarily result in official police reports under UCR (Uniform Crime Reporting) standards. The calls do not include the Forensic Technicians, Off Duty, Administrative or similarly classified calls.

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The data for this study were collected in order to examine the delivery of police services in selected neighborhoods. Performances of police agencies organized in different ways were compared as they delivered services to different sets of comparable neighborhoods. For Part 1, Citizen Debriefing Data, data were drawn from telephone interviews conducted with citizens who were involved in police-citizen encounters or who requested police services during the observed shifts. The file contains data on the citizens involved in observed encounters, their satisfaction with the delivered services, and neighborhood characteristics. This file includes variables such as the type of incident, estimated property loss, police response time, type of action taken by police, citizen satisfaction with the handling of the problem by police, reasons for dissatisfaction, the emotional state of the citizen during the encounter, whom the officers referred the citizen to for help, the citizen's prior contacts with police, and the citizen's education, age, sex, and total family income. Part 2, General Shift Information, contains data describing the shift (i.e., the eight-hour tour of duty to which the officers were assigned), the officers, and the events occurring during an observed shift. This file includes such variables as the total number of encounters, a breakdown of dispatched runs by type, the number of contacts with other officers, the number of contacts with non-police support units, officer discretion in taking legal action, and officer attitudes on patrol styles and activities. Part 3, Police Encounters Data, describes police encounters observed by the research team during selected shifts. It consists of information describing the officers' role in encounters with citizens observed during a shift and their demeanor toward the citizens involved. The file includes variables such as the type of encounter, how the encounter began, whether the citizens involved possessed a weapon, the encounter location, what other agencies were present during the encounter and when they arrived, police actions during the encounter, the role of citizens involved in the encounter, the demeanor of the officer toward the citizens during the encounter, actions taken by the citizens, which services were requested by the citizens, and how the observer affected the encounter. Part 4, Victimization Survey Data, examined citizen attitudes about the police and crime in their neighborhoods. The data were obtained through telephone interviews conducted by trained interviewers. These interviews followed a standard questionnaire designed by the project leaders. Variables include perceived risk of victimization, evaluations of the delivery of police services, household victimization occurring in the previous year, actions taken by citizens in response to crime, and demographic characteristics of the neighborhood.

In 2021, the Institute for the Rule of Law at the European University at Saint Petersburg conducted the second wave of the country-representative crime victimization survey in Russia. The dataset from the survey is published here. The dataset might contain errors due to an extensive preprocessing and cleaning of the data. Please use the latest versions of the dataset if possible. Please forward any questions and comments about the data to Alexey Knorre: a.v.knorre@gmail.com