Officer Involved Shooting (OIS) Database and Statistical Analysis. Data is updated after there is an officer involved shooting.PIU#Incident # - the number associated with either the incident or used as reference to store the items in our evidence rooms Date of Occurrence Month - month the incident occurred (Note the year is labeled on the tab of the spreadsheet)Date of Occurrence Day - day of the month the incident occurred (Note the year is labeled on the tab of the spreadsheet)Time of Occurrence - time the incident occurredAddress of incident - the _location the incident occurredDivision - the LMPD division in which the incident actually occurredBeat - the LMPD beat in which the incident actually occurredInvestigation Type - the type of investigation (shooting or death)Case Status - status of the case (open or closed)Suspect Name - the name of the suspect involved in the incidentSuspect Race - the race of the suspect involved in the incident (W-White, B-Black)Suspect Sex - the gender of the suspect involved in the incidentSuspect Age - the age of the suspect involved in the incidentSuspect Ethnicity - the ethnicity of the suspect involved in the incident (H-Hispanic, N-Not Hispanic)Suspect Weapon - the type of weapon the suspect used in the incidentOfficer Name - the name of the officer involved in the incidentOfficer Race - the race of the officer involved in the incident (W-White, B-Black, A-Asian)Officer Sex - the gender of the officer involved in the incidentOfficer Age - the age of the officer involved in the incidentOfficer Ethnicity - the ethnicity of the suspect involved in the incident (H-Hispanic, N-Not Hispanic)Officer Years of Service - the number of years the officer has been serving at the time of the incidentLethal Y/N - whether or not the incident involved a death (Y-Yes, N-No, continued-pending)Narrative - a description of what was determined from the investigationContact:Carol Boylecarol.boyle@louisvilleky.gov
Accessibility of tables
The department is currently working to make our tables accessible for our users. The data tables for these statistics are now accessible.
We would welcome any feedback on the accessibility of our tables, please email us.
SFR0101: https://assets.publishing.service.gov.uk/media/67bda68e5d6b30e896ac6ce9/sfr0101.ods">UK seafarers active at sea by type, best overall estimate (ODS, 16.3 KB)
SFR0201: https://assets.publishing.service.gov.uk/media/67bda6a4729cf14d438d7678/sfr0201.ods">UK Officers, certificates held by type (ODS, 14.6 KB)
SFR0202: https://assets.publishing.service.gov.uk/media/67bda6ae21d07694be8d7680/sfr0202.ods">Age, gender and departmental profile of UK Officers (ODS, 8.82 KB)
SFR0203: https://assets.publishing.service.gov.uk/media/67bda6c244ceb49381213c25/sfr0203.ods">Seafarer certificates held by department and nationality group (ODS, 18.4 KB)
SFR0204: https://assets.publishing.service.gov.uk/media/67bda6d089b4a58925ac6ce5/sfr0204.ods">Nationality of non-UK Officers holding Certificates of Equivalent Competency (ODS, 9.42 KB)
SFR0205: https://assets.publishing.service.gov.uk/media/67bda6dc89b4a58925ac6ce6/sfr0205.ods">Nationality of non-UK Officers holding Certificates of Competency (ODS, 9.01 KB)
SFR0206: https://assets.publishing.service.gov.uk/media/67bda6ef21d07694be8d7681/sfr0206.ods">UK Officer cadets under SMarT1 scheme (ODS, 7.32 KB)
SFR0301: https://assets.publishing.service.gov.uk/media/67bda70121d07694be8d7682/sfr0301.ods">UK seafarers active at sea by type, CoS member companies (ODS, 12.4 KB)
SFR0302: https://assets.publishing.service.gov.uk/media/67bda70f21d07694be8d7683/sfr0302.ods">Age, gender and departmental profile of UK seafarers active at sea, CoS member companies (ODS, 14.2 KB)
SFR0303: <a class="govuk-link" href="htt
description:
Officer Involved Shooting Database and Statistical Analysis
; abstract:Officer Involved Shooting Database and Statistical Analysis
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This data set is no longer compiled by the Ministry of Solicitor General Includes details about police hiring, retirement, retirement eligibility and minority status. Dataset also includes number of police officers and civilian staff. Uses data from the Police Administration Survey. The data can be accessed from Statistics Canada.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains Use of Force (UOF) incidents (formerly referred to as "Response to Resistance" incidents) from January 2018 forward, including demographic information for officers as well as individuals. All incidents included in the UOF dataset have gone through a review process and have been completed and finalized. Incidents still in process are not included in the dataset until marked complete. Data is updated on the 1st of each month, with a 3-month lag time due to the reporting and review process.
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Data on police personnel (police officers by gender, civilian and other personnel), police officers and authorized strength per 100,000 population, authorized police officer strength, population, net gain or loss from hirings and departures, police officers eligible to retire and selected crime statistics. Data is provided for municipal police services, 2000 to 2023.
The primary table for all public data on complaints, including dates, locations and the outcomes of closed complaints received since the year 2000.
The dataset is part of a database of all public police misconduct records the Civilian Complaint Review Board (CCRB) maintains on complaints against New York Police Department uniformed members of service received in CCRB's jurisdiction since the year 2000, when CCRB's database was first built. This data is published as four tables:
Civilian Complaint Review Board: Police Officers Civilian Complaint Review Board: Complaints Against Police Officers Civilian Complaint Review Board: Allegations Against Police Officers Civilian Complaint Review Board: Penalties
A single complaint can include multiple allegations, and those allegations may include multiple subject officers and multiple complainants.
Public records exclude complaints and allegations that were closed as Mediated, Mediation Attempted, Administrative Closure, Conciliated (for some complaints prior to the year 2000), or closed as Other Possible Misconduct Noted.
This database is inclusive of prior datasets held on Open Data (previously maintained as "Civilian Complaint Review Board (CCRB) - Complaints Received," "Civilian Complaint Review Board (CCRB) - Complaints Closed," and "Civilian Complaint Review Board (CCRB) - Allegations Closed") but includes information and records made public by the June 2020 repeal of New York Civil Rights law 50-a, which precipitated a full revision of what CCRB data could be considered public.
CMPD conducts an average of 120,000 traffic stops per year. Under North Carolina state law (G.S. 143B-902-903), the CMPD as well as other law enforcement agencies in the state are required to collect information on all traffic stops, the reason for the stop, and the type of enforcement action taken. Information on the driver’s sex, race, ethnicity, and age is collected, compiled, and reported to the NC Department of Justice. Information on whether the driver or passenger(s) were searched is also collected. For more information, please visit http://charlottenc.gov/CMPD/Pages/Resources/OpenData_Source.aspx
CMPD is committed to deploying traffic officers to areas where we experience high crime and victimization. Our focus is also in the geographical areas where concerns are reported by community members. We as a police department have a responsibility to those communities, to address their concerns and take appropriate enforcement action in an effort to keep their neighborhoods safe. Additionally, we are not only reacting to crime but proactively engaging in strategies that are intended to prevent criminal activity from occurring by placing officers in areas with a greater statistical history of crime.
Political scientists have increasingly begun to study how citizen characteristics shape whether—and how—they interact with the police. Less is known about how officer characteristics shape these interactions. In this article, we examine how one officer characteristic—officer sex—shapes the nature of police-initiated contact with citizens. Drawing on literature from multiple fields, we develop and test a set of competing expectations. Using over four million traffic stops made by the Florida State Highway Patrol and Charlotte (North Carolina) Police Department, we find that women officers are less likely to search drivers than men on the force. Despite these lower search rates, when women officers do conduct a search, they are more likely to find contraband and they confiscate the same net amount of contraband as men. These results indicate that women officers are able to minimize the number of negative interactions with citizens without losses in effectiveness.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Data on police personnel (police officers by gender, civilian and other personnel), police-civilian ratio, police officers and authorized strength per 100,000 population, authorized police officer strength and selected crime statistics. Data is provided for Canada, provinces, territories and the Royal Canadian Mounted Police (RCMP) headquarters, training academy depot division and forensic labs, 1986 to 2023.
Number of persons on boards of directors that are operating in Canada, by gender and type of corporation, by province and territory, by the North American Industry Classification System (NAICS), and by selected country of control, annual.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
Sub-table of Table 94. Breakdown of the ‘occupational/activity’ subset (here: ‘execution officers and emergency services’)
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 96 series, with data for years 1986 - 2009 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (16 items: Canada;Newfoundland and Labrador;Prince Edward Island;Nova Scotia; ...); Sex (3 items: Both sexes;Males;Females); Statistics (2 items: Total number of police officers;Percentage of total police officers).
County Health Status Profiles is an annually published report for the State of California by the California Department of Public Health in collaboration with the California Conference of Local Health Officers. Health indicators are measured for 58 counties and California statewide that can be directly compared to national standards and populations of similar composition. Where available, the measurements are ranked and compared with target rates established for Healthy People National Objectives.
For tables where the health indicator denominator and numerator are derived from the same data source, the denominator excludes records for which the health indicator data is missing and unable to be imputed.
For more information see the County Health Status Profiles report.
Data Series: Share of female police officers Indicator: IV.4 - Share of female police officers Source year: 2022 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Public life and decision-making
https://www.icpsr.umich.edu/web/ICPSR/studies/24167/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/24167/terms
The data contain records of sentenced offenders released from the custody of the Bureau of Prisons (BOP) during fiscal year 2003. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This data set is no longer compiled by the Ministry of Solicitor Services Information on the number of police officers according to their rank and gender. Shows the number of male and female officers at each rank, as well as annual changes in these numbers. The data can be accessed from Statistics Canada.
https://www.icpsr.umich.edu/web/ICPSR/studies/38651/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38651/terms
The Law Enforcement Management and Administrative Statistics (LEMAS) survey collects data from a nationally representative sample of general-purpose agencies (i.e., local and county police departments, sheriffs' offices, and primary state police agencies). The 2020 LEMAS sample design called for the survey questionnaire to be sent to 3,499 general purpose law enforcement agencies, including 2,631 local and county police departments, 819 sheriffs' offices, and the 49 primary state police departments (Hawaii does not have a primary state police agency). The design called for all agencies employing 100 or more full-time equivalent sworn personnel to be included with certainty (self-representing), and for smaller agencies to be sampled from strata based on number of full-time equivalent sworn officers and type of agency. A total of 37 local police departments were determined to be out-of-scope for the survey because they had closed, had less than one full-time equivalent sworn officer, had contracted out their services with another law enforcement agency, or only had special enforcement responsibilities. The final mail out total of 3,462 agencies included 2,611 local police departments, 802 sheriffs' offices, and the 49 state agencies.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Data Description: This dataset captures all Cincinnati Police Department Calls for Service. The City of Cincinnati's Computer Aided Dispatch (CAD) system records police incident response activity, which includes all calls for service to emergency operators, 911, alarms, police radio and non-emergency calls. CAD records all dispatch information, which is used by dispatchers, field supervisors, and on-scene officers to determine the priority, severity, and response needs surrounding the incident. Once an officer responds to a call, he/she updates the disposition to reflect findings on-scene. This dataset includes both proactive and reactive police incident data.
Data Creation: This data is created through the City’s computer-aided dispatch (CAD) system.
Data Created By: The source of this data is the Cincinnati Police Department.
Refresh Frequency: This data is updated daily.
CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/xw7t-5phj
Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Department of Public Safety and Correctional Services (DPSCS) submits these data to the Governor's Office each month for each of Maryland's prisons and jails. This dataset shows totals across those facilities: population totals, contraband seizures, searches, assaults, hearing officer reports, disciplinary action, identification document issuance, and IWIF statistics. Statistical analyses and data formatting are performed by Department of Information Technology (DoIT).
Officer Involved Shooting (OIS) Database and Statistical Analysis. Data is updated after there is an officer involved shooting.PIU#Incident # - the number associated with either the incident or used as reference to store the items in our evidence rooms Date of Occurrence Month - month the incident occurred (Note the year is labeled on the tab of the spreadsheet)Date of Occurrence Day - day of the month the incident occurred (Note the year is labeled on the tab of the spreadsheet)Time of Occurrence - time the incident occurredAddress of incident - the _location the incident occurredDivision - the LMPD division in which the incident actually occurredBeat - the LMPD beat in which the incident actually occurredInvestigation Type - the type of investigation (shooting or death)Case Status - status of the case (open or closed)Suspect Name - the name of the suspect involved in the incidentSuspect Race - the race of the suspect involved in the incident (W-White, B-Black)Suspect Sex - the gender of the suspect involved in the incidentSuspect Age - the age of the suspect involved in the incidentSuspect Ethnicity - the ethnicity of the suspect involved in the incident (H-Hispanic, N-Not Hispanic)Suspect Weapon - the type of weapon the suspect used in the incidentOfficer Name - the name of the officer involved in the incidentOfficer Race - the race of the officer involved in the incident (W-White, B-Black, A-Asian)Officer Sex - the gender of the officer involved in the incidentOfficer Age - the age of the officer involved in the incidentOfficer Ethnicity - the ethnicity of the suspect involved in the incident (H-Hispanic, N-Not Hispanic)Officer Years of Service - the number of years the officer has been serving at the time of the incidentLethal Y/N - whether or not the incident involved a death (Y-Yes, N-No, continued-pending)Narrative - a description of what was determined from the investigationContact:Carol Boylecarol.boyle@louisvilleky.gov