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The data used in the MPS Stop and Search Dashboard is available here Stop and Search Dashboard | Metropolitan Police, along with the related data definitions. Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior. Definitions / Counting Rules Stop and Search (S&S) - When an officer stops a member of the public and searches them. The police can only detain members of the public in order to carry out a search when certain conditions have been met. Search powers fall under different areas of legislation which include searching for - Stolen property - Prohibited articles namely offensive weapons or anything used for burglary, theft, deception or criminal damage - Drugs - Guns Historically searches of unattended vehicles and vessels have made up a very low proportion of search activity. PACE and Other Stops and Searches - Stops and Searches under PACE (Police and Criminal Evidence Act), S23 Drugs Act, S47 Firearms Act plus a very small number not included in the other categories (e.g. s27(1) Aviation Security Act 1982 or S7 Sporting Events (Control of Alcohol) Act 1985) Section 60 Criminal Justice & Public Order Act 1994 (s.60) - Where an authorising officer reasonably believes that serious violence may take place or that persons are carrying dangerous instruments or offensive weapons without good reason they may authorise powers for officers in uniform to stop and search any person or vehicles within a defined area and time period. Search Groupings - Searches within this report are sometimes grouped as either Weapons, ASB or Key Crime searches. The Weapons group is composed of stops recorded under codes C - Firearms (s47 Firearms Act), D - Offensive Weapons (s1 PACE), K - Anticipated Violence (s60 CJPO). The ASB group is composed of codes B - Drugs (s23 Misuse of Drugs Act), L- Criminal Damage (s1 Pace), Y- Psychoactive Substances, Z - Fireworks (s1 Pace). The Key Crime Group is composed of codes A - Stolen Property (s1 PACE), F- Going Equipped (s1 PACE). Positive Outcomes - A Positive Outcome is any outcome other than 'No Further Action (NFA)'The Positive Outcome rate is determined by dividing the number of positive outcomes by the total number of searches. Ethnic Appearance - The ethnicity of the person stopped as perceived by the officer. For further information on the mapping of 4+1 groupings to 18+1 census data please see HO report Statistics on Race and the Criminal Justice System 2010 at http://www.homeoffice.gov.uk/rds/pubsstatistical.html Self Defined Ethnicity (SDE) - The ethnic group as defined by the person stopped (National Census categories). This report uses 2011 Census data. This is held in 18+1 format and the recorded ethnic appearance of the Stop/Search (4+1) must be mapped to the appropriate 18+1 Census categories. The categories are mapped as follows: White = White British, White Irish, White Gypsy or Irish Traveller, and any other White Background. Black = Black or Black British, Caribbean, African, Mixed White and Black Caribbean, Mixed White and Black African, and any other Black Background Asian = Asian or Asian British Indian, Pakistani, Bangladeshi, Chinese, Mixed White and Asian and any other Asian background. Other = Arab, and any other Ethnic Group Caveats The Borough shown is location of search and not necessarily the borough of the officer conducting the search. The ethnicity of persons stopped and searched within the central London area are unlikely to reflect the resident population due to large numbers of both British and foreign tourists in this region. The MPS fully recognises the distress to the individual which any type of search where intimate parts are exposed can cause, and does not seek to downplay this. However, dip sampling of records has shown that historically some of the records included in this dashboard were wrongly recorded as MTIPs, when they were in fact strip searches conducted in custody after arrest. There

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.

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Each record in this dataset shows information about an arrest executed by the Chicago Police Department (CPD). Source data comes from the CPD Automated Arrest application. This electronic application is part of the CPD CLEAR (Citizen Law Enforcement Analysis and Reporting) system, and is used to process arrests Department-wide. A more-detailed version of this dataset is available to media by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Arrests Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup. New data fields may be added to this public dataset in the future. Requests for individual arrest reports or any other related data other than access to the more-detailed dataset should be directed to CPD, through contact information on that site or a Freedom of Information Act (FOIA) request. The data is limited to adult arrests, defined as any arrest where the arrestee was 18 years of age or older on the date of arrest. The data excludes arrest records expunged by CPD pursuant to the Illinois Criminal Identification Act (20 ILCS 2630/5.2). Department members use charges that appear in Illinois Compiled Statutes or Municipal Code of Chicago. Arrestees may be charged with multiple offenses from these sources. Each record in the dataset includes up to four charges, ordered by severity and with CHARGE1 as the most severe charge. Severity is defined based on charge class and charge type, criteria that are routinely used by Illinois court systems to determine penalties for conviction. In case of a tie, charges are presented in the order that the arresting officer listed the charges on the arrest report. By policy, Department members are provided general instructions to emphasize seriousness of the offense when ordering charges on an arrest report. Each record has an additional set of columns where a charge characteristic (statute, description, type, or class) for all four charges, or fewer if there were not four charges, is concatenated with the | character. These columns can be used with the Filter function's "Contains" operator to find all records where a value appears, without having to search four separate columns. Users interested in learning more about CPD arrest processes can review current directives, using the CPD Automated Directives system (http://directives.chicagopolice.org/directives/). Relevant directives include: • Special Order S06-01-11 – CLEAR Automated Arrest System: describes the application used by Department members to enter arrest data. • Special Order S06-01-04 – Arrestee Identification Process: describes processes related to obtaining and using CB numbers. • Special Order S09-03-04 – Assignment and Processing of Records Division Numbers: describes processes related to obtaining and using RD numbers. • Special Order 06-01 – Processing Persons Under Department Control: describes required tasks associated with arrestee processing, include the requirement that Department members order charges based on severity.

Police incident level data documenting vehicular stops. Data is collected under New York City Administrative Code 14-191 and may be used to gain insight into police-initiated vehicle stops, demographics of people stopped, details of vehicles involved and resulting action of stops, if any.