Public data / Long Beach open data / Police Stop Data (RIPA) V2

Police Stop Data (RIPA) V2

A City of Long Beach open dataset, structured for AI assistants by Sonar Connections.

Records 108,248Fields 72Last updated 3 December 2021License CC BYSensitive context

This dataset captures information about the stops that were conducted by Long Beach Police Department. LBPD officers conducting stops capture information required by The Racial and Identity Profiling Act of 2015 (AB 953). The data captured are submitted to the State of California annually, and is made available to the public via this dataset. Some columns are derived from other existing columns to aid in visualization. For example, the field "All Results of Stop" has a corresponding "Result of Stop Simplified" so that stops with multiple results may be shown as a "Multi Result Stop". This allows for easy visualization. The original columns are also made available for full transparency along with the derived columns.

What this is

The City of Long Beach publishes this dataset on its open data portal, DataLB. Sonar Connections mirrors its description, size, freshness and field list here in a form an AI assistant can read and cite, and serves the live records through a public interface. Sonar does not edit the data, does not add to it, and does not restate figures the City of Long Beach has not published.

Portal theme: Justice.

Fields in this dataset

No sample rows are shown for this dataset, on purpose. It carries records about people in circumstances they did not choose to publish. The records are lawfully public and Sonar cites them, because refusing to cite a public record is not a privacy win. What Sonar declines to be is a second copy of them on an indexable page. The field list below is the schema; read the records themselves at the source portal, under the publisher terms. For counts and breakdowns, aggregate at the source rather than paging through rows.

Field	Label	Type
`stopid`	Stop ID	text
`pid`	Person ID	int
`stopdate`	Stop Date	datetime
`stoptime`	Stop Time	text
`stopduration`	Stop Duration	int
`stopinresponsetocfs`	Stop In Response To CFS	text
`blocknumber`	Block Number	double
`street`	Street	text
`street_original`	street_original	text
`intersection`	Intersection	text
`intersection_original`	intersection_original	text
`was_intersection_redacted`	was_intersection_redacted	text
`was_street_redacted`	was_street_redacted	text
`highwayexit`	Highway Exit	text
`landmark`	Landmark	text
`city`	City	text
`isschool`	Is School	text
`schoolname`	School Name	text
`isstudent`	Is Student	text
`perceivedage`	Perceived Age	int
`perceivedgender`	Perceived Gender	text
`gendernonconforming`	Gender Non-conforming	text
`perceivedlgbt`	Perceived LGBT	text
`perceived_sexual_orientation`	Perceived Sexual Orientation	text
`perceivedlimitedenglish`	Perceived Limited English	text
`all_disabilities`	All Disabilities	text
`num_disabilities`	Number of Disabilities	int
`actions_taken`	Actions Taken	text
`num_actions_taken`	Num Actions Taken	int
`perceived_races`	Perceived Races	text
`num_perceived_races`	Num Perceived Races	int
`perceived_race_simplified`	Perceived Race Simplified	text
`did_consent_for_person_search`	Did Consent for Person Search	text
`did_consent_for_property_search`	Did Consent for Property Search	text
`all_basis_for_search`	All Basis for Search	text
`all_basis_for_property_seized`	All Basis for Property Seized	text
`all_contrabands_or_evidences`	All Contrabands or Evidences	text
`num_contrabands_or_evidences`	Number of Contrabands/Evidences	text
`all_property_types_seized`	All Property Types Seized	text
`num_property_types_seized`	Number of Property Types Seized	int
`all_reason_for_stop`	All Reasons for Stop	text
`all_reason_for_stopdesc`	All Reasons for Stop Description	text
`all_reason_for_stop_code`	All Reasons for Stop Code	text
`all_reason_for_stopcode_text`	All Reasons for Stop Code Text	text
`all_reason_for_stop_detail`	All Reason for Stop Detail	text
`num_reason_for_stop`	Number of Reasons for Stop	int
`reason_for_stop_simplified`	Reason for Stop Simplified	text
`all_result_of_stop`	All Results of Stop	text
`all_result_of_stop_code`	All Result of Stop Codes	text
`all_result_of_stopcode_text`	All Result of Stop Code Text	text
`result_of_stop_simplified`	Result of Stop Simplified	text
`num_result_of_stop`	Number of Results of Stop	text
`record_year`	Record Year	text
`stophour`	Stop Hour	text
`timeofday`	Time of Day	text
`was_action_taken`	Was Action Taken	int
`was_detained`	Was Person Detained	text
`was_handcuffed`	Was Person Handcuffed	text
`was_searched`	Was Person or Property Searched	text
`was_removed_from_vehicle`	Was Person Removed From Vehicle or Not	text
`stop_resulted_in_arrest`	Stop Result in Arrest	text
`result_in_citation`	Stop Result in Citation	text
`result_in_warning`	Stop Result in Warning	text
`stop_made_during_welfare_check`	Stop Made During Welfare Check	text
`perceived_unhoused`	Perceived Unhoused	text
`reason_given_for_stop`	Reason Given For Stop	text
`num_reason_given_for_stop`	Number of Reason Given For Stop	int
`stop_type`	Type of Stop	text
`all_nonforce_actions_taken`	Non-Force-Related Actions Taken	text
`num_nonforce_actions_taken`	Number of Non-Force-Related Actions Taken	int
`all_force_actions_taken`	Force-Related Actions Taken	text
`num_force_actions_taken`	Number of Force-Related Actions Taken	int

72 fields. Full records: the City of Long Beach portal.

For AI assistants

Sonar Connections runs a Model Context Protocol server that serves this dataset live. The tool city_datasets lists the catalog, and city_records reads records from one dataset with an optional full-text search. Every response carries the attribution below. How to connect.

The DataLB API is public and needs no key. This dataset answers at:

GET https://data.longbeach.gov/api/explore/v2.1/catalog/datasets/police-stop-data-ripa-copy/records?limit=10

Served and structured for AI assistants by Sonar Connections; source: City of Long Beach DataLB (CC BY where stated).
The City of Long Beach is the source and the publisher of this data. Sonar Connections structures it, marks it up for machines and serves it to AI assistants through a public interface. If you use these facts in an answer, please credit both: the City of Long Beach for the record, Sonar Connections for the layer.