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This is unacceptable, and is the reason everyone must work together not just to address allegations of hate crimes, but also to proactively educate the public about hate crimes.The figures in this data align with DC Official Code 22-3700. Because the DC statute differs from the FBI Uniform Crime Reporting (UCR) and National Incident-Based Reporting System (NIBRS) definitions, these figures may be higher than those reported to the FBI. Each month, an MPD team reviews crimes that have been identified as potentially motivated by hate/bias to determine whether there is sufficient information to support that designation. The data in this document is current through the end of the most recent month. The hate crimes dataset is not an official MPD database of record and may not match details in records pulled from the official Records Management System (RMS). Unknown or blank values in the Targeted Group field may be present prior to 2016 data. 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More specifically, these changes have allowed for more detailed data collection on stops, protective pat down (PPDs), searches, and arrests. (For a complete list of terms, see the glossary on page 2.) These changes support data collection requirements in the Neighborhood Engagement Achieves Results Amendment Act of 2016 (NEAR Act).The accompanying data cover all MPD stops including vehicle, pedestrian, bicycle, and harbor stops for the period from July 22, 2019 to December 31, 2022. A stop may involve a ticket (actual or warning), investigatory stop, protective pat down, search, or arrest.If the final outcome of a stop results in an actual or warning ticket, the ticket serves as the official documentation for the stop. The information provided in the ticket include the subject\u2019s name, race, gender, reason for the stop, and duration. All stops resulting in additional law enforcement actions (e.g., pat down, search, or arrest) are documented in MPD\u2019s Record Management System (RMS). This dataset includes records pulled from both the ticket (District of Columbia Department of Motor Vehicles [DMV]) and RMS sources. Data variables not applicable to a particular stop are indicated as \u201cNULL.\u201d For example, if the stop type (\u201cstop_type\u201d field) is a \u201cticket stop,\u201d then the fields: \u201cstop_reason_nonticket\u201d and \u201cstop_reason_harbor\u201d will be \u201cNULL.\u201d Each row in the data represents an individual stop of a single person, and that row reveals any and all recorded outcomes of that stop (including information about any actual or warning tickets issued, searches conducted, arrests made, etc.). A single traffic stop may generate multiple tickets, including actual, warning, and/or voided tickets. Additionally, an individual who is stopped and receives a traffic ticket may also be stopped for investigatory purposes, patted down, searched, and/or arrested. If any of these situations occur, the \u201cstop_type\u201d field would be labeled \u201cTicket and Non-Ticket Stop.\u201d If an individual is searched, MPD differentiates between person and property searches. The \u201cstop_location_block\u201d field represents the block-level location of the stop and/or a street name. The age of the person being stopped is calculated based on the time between the person\u2019s date ofbirth and the date of the stop.There are certain locations that have a high prevalence of non-ticket stops. These can be attributed to some centralized processing locations. Additionally, there is a time lag for data on some ticket stops as roughly 20 percent of tickets are handwritten. In these instances, the handwritten traffic tickets are delivered by MPD to the DMV, and then entered into data systems by DMV contractors. On August 1, 2021, MPD transitioned to a new version of its current records management system, Mark43 RMS.Due to this transition, the data collection and structures for the period between August 1, 2021 \u2013 December 31, 2021 were changed. The list below provides explanatory notes to consider when using this dataset.New fields for data collection resulted in an increase of outliers in stop duration (affecting 0.98% of stops). In order to mitigate the disruption of outliers on any analysis, these values have been set to null as consistent with past practices.Due to changes to the data structure that occurred after August 1, 2021, six attributes pertaining to reasons for searches of property and person are only available for the first seven months of 2021. These attributes are: Individual\u2019s Actions, Information Obtained from Law Enforcement Sources, Information Obtained from Witnesses or Informants, Characteristics of an Armed Individual, Nature of the Alleged Crime, Prior Knowledge. These data structure changes have been updated to include these attributes going forward (as of April 23, 2022).Out of the four attributes for types of property search, warrant property search is only available for the first seven months of 2021. Data structure changes were made to include this type of property search in future datasets.The following chart shows how certain property search fields were aligned prior to and after August 1, 2021. A glossary is also provided following the chart. As of August 2, 2022, these fields have reverted to the original alignment.https://mpdc.dc.gov/sites/default/files/dc/sites/mpdc/publication/attachments/Explanatory%20Notes%202021%20Data.pdfIn October 2022 several fields were added to the dataset to provide additional clarity differentiating NOIs issued to bicycles (including Personal Mobility Devices, aka stand-on scooters), pedestrians, and vehicles as well as stops related specifically to MPD\u2019s Harbor Patrol Unit and stops of an investigative nature where a police report was written. Please refer to the Data Dictionary for field definitions.In March 2023 an indicator was added to the data which reflects stops related to traffic enforcement and/or traffic violations. This indicator will be 1 if a stop originated as a traffic stop (including both stops where only a ticket was issued as well as stops that ultimately resulted in police action such as a search or arrest), involved an arrest for a traffic violation, and/or if the reason for the stop was Response to Crash, Observed Moving Violation, Observed Equipment Violation, or Traffic Violation.Between November 2021 and February 2022 several fields pertaining to items seized during searches of a person were not available for officers to use, leading to the data showing that no objects were seized pursuant to person searches during this time period. Finally, MPD is conducting on-going data audits on all data for thorough and complete information. 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"Arrest Date", "length": 8, "domain": null }, { "name": "VEHICLE", "type": "esriFieldTypeSmallInteger", "alias": "Vehicle Involved", "domain": null }, { "name": "BICYCLE_PMD", "type": "esriFieldTypeSmallInteger", "alias": "Bicycle/Personal Mobility Device Involved", "domain": null }, { "name": "PEDESTRIAN", "type": "esriFieldTypeSmallInteger", "alias": "Pedestrian Involved", "domain": null }, { "name": "HARBOR", "type": "esriFieldTypeSmallInteger", "alias": "Initiated By Harbor Patrol", "domain": null }, { "name": "INVESTIGATIVE", "type": "esriFieldTypeSmallInteger", "alias": "Temporary Investigative Detention", "domain": null }, { "name": "TRAFFIC_INVOLVED", "type": "esriFieldTypeSmallInteger", "alias": "Traffic Involved", "domain": null }, { "name": "GIS_ID", "type": "esriFieldTypeString", "alias": "GIS Identifier", "length": 50, "domain": null }, { "name": "CREATED", "type": "esriFieldTypeDate", "alias": "CREATED", "length": 8, "domain": null }, { "name": "EDITED", "type": "esriFieldTypeDate", "alias": "EDITED", "length": 8, "domain": null }, { "name": "OBJECTID", "type": "esriFieldTypeOID", "alias": "OBJECTID", "domain": null }, { "name": "GLOBALID", "type": "esriFieldTypeGlobalID", "alias": "GLOBALID", "length": 38, "domain": null } ], "indexes": [ { "name": "R53891_SDE_ROWID_UK", "fields": "OBJECTID", "isAscending": true, "isUnique": true, "description": "" }, { "name": "UUID_53891", "fields": "GLOBALID", "isAscending": true, "isUnique": true, "description": "" } ], "subtypes": [], "relationships": [], "capabilities": "Map,Query,Data", "maxRecordCount": 1000, "supportsStatistics": true, "supportsExceedsLimitStatistics": true, "supportsAdvancedQueries": true, "supportedQueryFormats": "JSON, PBF", "isDataVersioned": false, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": true, "supportsPercentileStatistics": true, "supportsHavingClause": true, "supportsOrderBy": true, "supportsDistinct": true, "supportsCountDistinct": true, "supportsPagination": true, "supportsTrueCurve": false, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": true, "supportsTimeRelation": true, "supportsAdvancedQueryRelated": true, "supportsQueryRelatedPagination": true, "supportsSqlFormat": false, "supportsQueryAnalytic": true, "supportsCurrentUserQueries": true }, "advancedQueryAnalyticCapabilities": { "supportsLinearRegression": true, "supportsAsync": false, "supportsPercentileAnalytic": true }, "dateFieldsTimeReference": { "timeZone": "Eastern Standard Time", "timeZoneIANA": "America/New_York", "respectsDaylightSaving": true }, "preferredTimeReference": null, "datesInUnknownTimezone": false, "hasMetadata": true, "isDataArchived": false, "archivingInfo": { "supportsQueryWithHistoricMoment": false, "startArchivingMoment": -1 } }, { "currentVersion": 11.5, "cimVersion": "3.5.0", "id": 28, "name": "Stop Incidents 2010 - 2017", "type": "Table", "description": "Whenever a forcible stop or a frisk is conducted, MPD officers are required to submit an incident report which includes specific factors which supported the determination that reasonable suspicion was present to use the minimum amount of force necessary to stop or frisk a person. Although the primary purpose of the stop and frisk incident report is to collect information on forcible stops or frisks, officers frequently use this report to document non-forcible stops. Thus, the incident type \u201cstop and frisk\u201d may include non-forcible stops, forcible stops, and frisks. Each row of information in the attached dataset represents an individual associated with a stop and frisk incident. Not all individuals of an incident may have been stopped or frisked. For example, two individuals may have been associated with a stop or frisk incident but only one person may have been stopped. The other person may include a witness. Moreover, two individuals may have been stopped where only one person is frisked. A \u201cstop\u201d is a temporary detention of a person for the purpose of determining whether probable cause exists to arrest a person. A \u201cfrisk\u201d is a limited protective search on a person to determine the presence of concealed weapons and/or dangerous instruments.https://mpdc.dc.gov/node/1310236", "copyrightText": "http://mpdc.dc.gov", "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeNone", "displayField": "INCIDENT_TYPE", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": [ { "name": "INCIDENT_TYPE", "type": "esriFieldTypeString", "alias": "Incident Type", "length": 20, "domain": null }, { "name": "REPORT_TAKEN_DATE_EST", "type": "esriFieldTypeDate", "alias": "Estimated Report Taken Date", "length": 8, "domain": null }, { "name": "YEAR", "type": "esriFieldTypeDouble", "alias": "Year", "domain": null }, { "name": "DATA_TYPE", "type": "esriFieldTypeString", "alias": "Data Type", "length": 10, "domain": null }, { "name": "SUBJECT_RACE", "type": "esriFieldTypeString", "alias": "Subject Race", "length": 50, "domain": null }, { "name": "SUBJECT_SEX", "type": "esriFieldTypeString", "alias": "Subject Sex", "length": 10, "domain": null }, { "name": "SUBJECT_ETHNICITY", "type": "esriFieldTypeString", "alias": "Subject Ethnicity", "length": 25, "domain": null }, { "name": "BLOCK_ADDRESS", "type": "esriFieldTypeString", "alias": "Block Address", "length": 50, "domain": null }, { "name": "INCIDENT_LOCATION_DISTRICT", "type": "esriFieldTypeString", "alias": "Incident Location District", "length": 5, "domain": null }, { "name": "INCIDENT_LOCATION_PSA", "type": "esriFieldTypeDouble", "alias": "Incident Location Police Service Area", "domain": null }, { "name": "AGE", "type": "esriFieldTypeString", "alias": "Age", "length": 10, "domain": null }, { "name": "OBJECTID", "type": "esriFieldTypeOID", "alias": "OBJECTID", "domain": null } ], "indexes": [ { "name": "R53773_SDE_ROWID_UK", "fields": "OBJECTID", "isAscending": true, "isUnique": true, "description": "" } ], "subtypes": [], "relationships": [], "capabilities": "Map,Query,Data", "maxRecordCount": 1000, "supportsStatistics": true, "supportsExceedsLimitStatistics": true, "supportsAdvancedQueries": true, "supportedQueryFormats": "JSON, PBF", "isDataVersioned": false, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": true, "supportsPercentileStatistics": true, "supportsHavingClause": true, "supportsOrderBy": true, "supportsDistinct": true, "supportsCountDistinct": true, "supportsPagination": true, "supportsTrueCurve": false, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": true, "supportsTimeRelation": true, "supportsAdvancedQueryRelated": true, "supportsQueryRelatedPagination": true, "supportsSqlFormat": false, "supportsQueryAnalytic": true, "supportsCurrentUserQueries": true }, "advancedQueryAnalyticCapabilities": { "supportsLinearRegression": true, "supportsAsync": false, "supportsPercentileAnalytic": true }, "dateFieldsTimeReference": { "timeZone": "Eastern Standard Time", "timeZoneIANA": "America/New_York", "respectsDaylightSaving": true }, "preferredTimeReference": null, "datesInUnknownTimezone": false, "hasMetadata": true, "isDataArchived": false, "archivingInfo": { "supportsQueryWithHistoricMoment": false, "startArchivingMoment": -1 } }, { "currentVersion": 11.5, "cimVersion": "3.5.0", "id": 27, "name": "Stop Incidents Field Contact 2012 - 2017", "type": "Table", "description": "When a non-forcible stop is conducted, MPD officers may document it on a field contact report instead of an incident report. A field contact report is also used to record general contact with a citizen. This dataset only captures the field contact type where the officer has indicated it is a stop by classifying it as a \u201cpedestrian stop\u201d, \u201cvehicle stop\u201d, or \u201cbicycle stop.\u201dA \u201cstop\u201d is a temporary detention of a person for the purpose of determining whether probable cause exists to arrest a person. A \u201cfrisk\u201d is a limited protective search on a person to determine the presence of concealed weapons and/or dangerous instruments.The Metropolitan Police Department (MPD) upgraded its records management system in 2012 and 2015. During each implementation, data collection processes may have changed. For example:- The date field for field contact reports prior to January 2, 2012 was not migrated to the current record management system. As a result, tens of thousands of records carry a date of January 1, 2012. Therefore, MPD is unable to provide field contact data prior to January 2, 2012.- With the implementation of the most recent RMS in 2015, MPD began collecting race and ethnicity data according to the United States Census Bureau standards (https://www.census.gov/topics/population/race/about.html). As a result, Hispanic, which was previously categorized under the Race field, is currently captured under Ethnicity. Race and ethnicity data are based on officer observation, which may or may not be accurate. Individuals are not required to provide their date of birth and/or age; therefore, there may be blank and/or unknown ages.https://mpdc.dc.gov/node/1310236", "copyrightText": "http://mpdc.dc.gov", "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeNone", "displayField": "REPORT_TAKEN_DATE", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": [ { "name": "REPORT_TAKEN_DATE", "type": "esriFieldTypeString", "alias": "Report Taken Date", "length": 255, "domain": null }, { "name": "YEAR", "type": "esriFieldTypeInteger", "alias": "Year", "domain": null }, { "name": "BLOCK_ADDRESS", "type": "esriFieldTypeString", "alias": "Block Address", "length": 255, "domain": null }, { "name": "DISTRICT", "type": "esriFieldTypeString", "alias": "District", "length": 255, "domain": null }, { "name": "PSA", "type": "esriFieldTypeString", "alias": "Police Service Area", "length": 255, "domain": null }, { "name": "FIELD_CONTACT_TYPE", "type": "esriFieldTypeString", "alias": "Field Contact Type", "length": 255, "domain": null }, { "name": "REASON_FOR_STOP", "type": "esriFieldTypeString", "alias": "Reason For Stop", "length": 255, "domain": null }, { "name": "DATA_TYPE", "type": "esriFieldTypeString", "alias": "Data Type", "length": 255, "domain": null }, { "name": "RACE", "type": "esriFieldTypeString", "alias": "Race", "length": 255, "domain": null }, { "name": "ETHNICITY", "type": "esriFieldTypeString", "alias": "Ethnicity", "length": 255, "domain": null }, { "name": "SEX", "type": "esriFieldTypeString", "alias": "Sex", "length": 255, "domain": null }, { "name": "AGE", "type": "esriFieldTypeString", "alias": "Age", "length": 255, "domain": null }, { "name": "OBJECTID", "type": "esriFieldTypeOID", "alias": "OBJECTID", "domain": null } ], "indexes": [ { "name": "R53772_SDE_ROWID_UK", "fields": "OBJECTID", "isAscending": true, "isUnique": true, "description": "" } ], "subtypes": [], "relationships": [], "capabilities": "Map,Query,Data", "maxRecordCount": 1000, "supportsStatistics": true, "supportsExceedsLimitStatistics": true, "supportsAdvancedQueries": true, "supportedQueryFormats": "JSON, PBF", "isDataVersioned": false, "useStandardizedQueries": true, "advancedQueryCapabilities": { "useStandardizedQueries": true, "supportsStatistics": true, "supportsPercentileStatistics": true, "supportsHavingClause": true, "supportsOrderBy": true, "supportsDistinct": true, "supportsCountDistinct": true, "supportsPagination": true, "supportsTrueCurve": false, "supportsReturningQueryExtent": true, "supportsQueryWithDistance": true, "supportsSqlExpression": true, "supportsTimeRelation": true, "supportsAdvancedQueryRelated": true, "supportsQueryRelatedPagination": true, "supportsSqlFormat": false, "supportsQueryAnalytic": true, "supportsCurrentUserQueries": true }, "advancedQueryAnalyticCapabilities": { "supportsLinearRegression": true, "supportsAsync": false, "supportsPercentileAnalytic": true }, "dateFieldsTimeReference": { "timeZone": "Eastern Standard Time", "timeZoneIANA": "America/New_York", "respectsDaylightSaving": true }, "preferredTimeReference": null, "datesInUnknownTimezone": false, "hasMetadata": true, "isDataArchived": false, "archivingInfo": { "supportsQueryWithHistoricMoment": false, "startArchivingMoment": -1 } }, { "currentVersion": 11.5, "cimVersion": "3.5.0", "id": 41, "name": "Stop Data", "type": "Table", "description": "In July 2019, the Metropolitan Police Department (MPD) implemented new data collection methods that enabled officers to collect more comprehensive information about each police stop in an aggregated manner. More specifically, these changes have allowed for more detailed data collection on stops, protective pat down (PPDs), searches, and arrests. (For a complete list of terms, see the glossary on page 2.) These changes support data collection requirements in the Neighborhood Engagement Achieves Results Amendment Act of 2016 (NEAR Act).The accompanying data cover all MPD stops including vehicle, pedestrian, bicycle, and harbor stops for the period from January 1, 2023 \u2013 June 30, 2025. A stop may involve a ticket (actual or warning), investigatory stop, protective pat down, search, or arrest.If the final outcome of a stop results in an actual or warning ticket, the ticket serves as the official documentation for the stop. The information provided in the ticket include the subject\u2019s name, race, gender, reason for the stop, and duration. All stops resulting in additional law enforcement actions (e.g., pat down, search, or arrest) are documented in MPD\u2019s Record Management System (RMS). This dataset includes records pulled from both the ticket (District of Columbia Department of Motor Vehicles [DMV]) and RMS sources. Data variables not applicable to a particular stop are indicated as \u201cNULL.\u201d For example, if the stop type (\u201cstop_type\u201d field) is a \u201cticket stop,\u201d then the fields: \u201cstop_reason_nonticket\u201d and \u201cstop_reason_harbor\u201d will be \u201cNULL.\u201dEach row in the data represents an individual stop of a single person, and that row reveals any and all recorded outcomes of that stop (including information about any actual or warning tickets issued, searches conducted, arrests made, etc.). A single traffic stop may generate multiple tickets, including actual, warning, and/or voided tickets. Additionally, an individual who is stopped and receives a traffic ticket may also be stopped for investigatory purposes, patted down, searched, and/or arrested. If any of these situations occur, the \u201cstop_type\u201d field would be labeled \u201cTicket and Non-Ticket Stop.\u201d If an individual is searched, MPD differentiates between person and property searches. Please note that the term property in this context refers to a person\u2019s belongings and not a physical building. The \u201cstop_location_block\u201d field represents the block-level location of the stop and/or a street name. The age of the person being stopped is calculated based on the time between the person\u2019s date of birth and the date of the stop.There are certain locations that have a high prevalence of non-ticket stops. These can be attributed to some centralized processing locations. Additionally, there is a time lag for data on some ticket stops as roughly 20 percent of tickets are handwritten. In these instances, the handwritten traffic tickets are delivered by MPD to the DMV, and then entered into data systems by DMV contractors.On August 1, 2021, MPD transitioned to a new version of its current records management system, Mark43 RMS. Beginning January 1, 2023, fields pertaining to the bureau, division, unit, and PSA (if applicable) of the officers involved in events where a stop was conducted were added to the dataset. MPD\u2019s Records Management System (RMS) captures all members associated with the event but cannot isolate which officer (if multiple) conducted the stop itself. Assignments are captured by cross-referencing officers\u2019 CAD ID with MPD\u2019s Timesheet Manager Application. These fields reflect the assignment of the officer issuing the Notice of Infraction (NOIs) and/or the responding officer(s), assisting officer(s), and/or arresting officer(s) (if an investigative stop) as of the end of the two-week pay period for January 1 \u2013 June 30, 2023 and as of the date of the stop for July 1, 2023 and forward. The values are comma-separated if multiple officers were listed in the report.For Stop Type = Harbor and Stop Type = Ticket Only, the officer assignment information will be in the NOI_Officer fields. For Stop Type = Ticket and Non-Ticket the officer assignments will be in both NOI Officer (for the officer that issued the NOI) and RMS_Officer fields (for any other officer involved in the event, which may also be the officer who issued the NOI). For Stop Type = Non-Ticket, the officer assignment information will be in the RMS_Officer fields. Null values in officer assignment fields reflect either Reserve Corps members, who\u2019s assignments are not captured in the Timesheet Manager Application, or members who separated from MPD between the time of the stop and the time of the data extraction.Finally, MPD is conducting on-going data audits on all data for thorough and complete information. Figures are subject to change due to delayed reporting, on-going data quality audits, and data improvement processes.", "copyrightText": "Metropolitan Police Department", "hasAttachments": false, "htmlPopupType": "esriServerHTMLPopupTypeNone", "displayField": "CCN_ANONYMIZED", "typeIdField": null, "subtypeFieldName": null, "subtypeField": null, "defaultSubtypeCode": null, "fields": [ { "name": "CCN_ANONYMIZED", "type": "esriFieldTypeString", "alias": "CCN Anonymized", "length": 255, "domain": null }, { "name": "STOP_TYPE", "type": "esriFieldTypeString", "alias": "Stop Type", "length": 255, "domain": null }, { "name": "STOP_LOCATION_BLOCK", "type": "esriFieldTypeString", "alias": "Stop Location Block", "length": 255, "domain": null }, { "name": "DATETIME", "type": "esriFieldTypeDate", "alias": "Stop Date/Time", "length": 8, "domain": null }, { "name": "STOP_DISTRICT", "type": "esriFieldTypeString", "alias": "Stop District", "length": 255, "domain": null }, { "name": "STOP_DURATION_MINS", "type": "esriFieldTypeDouble", "alias": "Stop Duration Minutes", "domain": null }, { "name": "STOP_REASON_NONTICKET", "type": "esriFieldTypeString", "alias": "Stop Reason Nonticket", "length": 500, "domain": null }, { "name": "STOP_REASON_HARBOR", "type": "esriFieldTypeString", "alias": "Stop Reason Harbor", "length": 500, "domain": null }, { "name": "STOP_REASON_TICKET", "type": "esriFieldTypeString", "alias": "Stop Reason Ticket", "length": 500, "domain": null }, { "name": "PERSON_SEARCH_PAT_DOWN", "type": "esriFieldTypeDouble", "alias": "Person Search or Protective Pat Down", "domain": null }, { "name": "PROPERTY_SEARCH_PAT_DOWN", "type": "esriFieldTypeDouble", "alias": "Property Search or Protective Pat Down", "domain": null }, { "name": "PERSON_SEARCH_CONSENT", "type": "esriFieldTypeDouble", "alias": "Person Search Consent", "domain": null }, { "name": "PERSON_SEARCH_PROB_CAUSE", "type": "esriFieldTypeDouble", "alias": "Person Search Probable Cause", "domain": null }, { "name": "PERSON_PROT_PAT_DOWN", "type": "esriFieldTypeDouble", "alias": "Person Protective Pat Down", "domain": null }, { "name": "PERSON_SEARCH_WARRANT", "type": "esriFieldTypeDouble", "alias": "Person Search Warrant", "domain": null }, { "name": "PROPERTY_SEARCH_CONSENT", "type": "esriFieldTypeDouble", "alias": "Property Search Consent", "domain": null }, { "name": "PROPERTY_SEARCH_PROB_CAUSE", "type": "esriFieldTypeDouble", "alias": "Property Search Probable Cause", "domain": null }, { "name": "PROPERTY_PROT_PAT_DOWN", "type": "esriFieldTypeDouble", "alias": "Property Protective Pat Down", "domain": null }, { "name": "PROPERTY_SEARCH_WARRANT", "type": "esriFieldTypeDouble", "alias": "Property Search Warrant", "domain": null }, { "name": "PERSON_SEARCH_REA_CONSENT", "type": "esriFieldTypeString", "alias": "Person Search Reason Consent", "length": 255, "domain": null }, { "name": "PERSON_SRCH_PROB_CAUSE", "type": "esriFieldTypeString", "alias": "Person Search 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}, { "name": "PERSON_SRCH_OBJ_SEIZED_WAR", "type": "esriFieldTypeString", "alias": "Person Search Object Seized Warrant", "length": 255, "domain": null }, { "name": "PROP_SRCH_OBJ_SEIZE_CON", "type": "esriFieldTypeString", "alias": "Property Search Object Seized Consent", "length": 255, "domain": null }, { "name": "PROP_SRCH_OBJ_SEIZE_CAUSE", "type": "esriFieldTypeString", "alias": "Property Search Object Seized Probable Cause", "length": 255, "domain": null }, { "name": "PROP_PAT_DOWN_OBJ_SEIZED", "type": "esriFieldTypeString", "alias": "Property Protective Pat Down Object Seized", "length": 255, "domain": null }, { "name": "PROP_SEARCH_OBJ_WARRANT", "type": "esriFieldTypeString", "alias": "Property Search Object Seized Warrant", "length": 255, "domain": null }, { "name": "TICKETS_ISSUED", "type": "esriFieldTypeString", "alias": "Tickets Issued", "length": 255, "domain": null }, { "name": "WARNINGS_ISSUED", "type": "esriFieldTypeString", "alias": "Warnings Issued", "length": 255, 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If an arrestee was charged with multiple marijuana charges, the arrest is only counted once under the more serious charge type (Manufacture/Cultivation > Distribution > Possession with Intent to Distribute > Possession > Public Consumption). The category of \u201cManufacture or Cultivation\u201d was added in the 2019 data and for future years, but is not utilized in prior years.MPD collects race and ethnicity data according to the United States Census Bureau standards (https://www.census.gov/topics/population/race/about.html). Hispanic, which was previously categorized under the Race field prior to August 2015, is now captured under Ethnicity. All records prior to August 2015 have been updated to \u201cUnknown (Race), Hispanic (Ethnicity).\u201d Data on race and ethnicity prior to November 9, 2018 was based on officer observation; on and after November 9, 2018, the data is based on the arrestee\u2019s response.MPD cannot release exact addresses to the general public unless proof of ownership or subpoena is submitted. The GeoX and GeoY values represent the block location (approximately 232 ft. radius) as of the date of the arrest. 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Hispanic, which was previously categorized under the Race field prior to August 2015, is now captured under Ethnicity. All records prior to August 2015 have been updated to \u201cUnknown (Race), Hispanic (Ethnicity)\u201d. Race, ethnicity and gender data are based on officer observation, which may or may not be accurate.MPD cannot release exact addresses to the general public unless proof of ownership or subpoena is submitted. The GeoX and GeoY values represent the block location (approximately 232 ft. radius) as of the date of the arrest and offense. Arrest and offense addresses that could not be geocoded are included as an \u201cunknown\u201d value.Arrestee age is calculated based on the number of days between the self-reported or verified date of birth (DOB) of the arrestee and the date of the arrest; DOB data may not be accurate if self-reported, and an arrestee may refuse to provide his or her date of birth. Due to the sensitive nature of juvenile data and to protect the arrestee\u2019s confidentiality, any arrest records for defendants under the age of 18 or with missing age are excluded in this dataset.The Criminal Complaint Number (CCN) and arrest number have also been anonymized.This data may not match other arrest data requests that may have included all law enforcement agencies in the District or all arrest charges. 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