reports

Data license: ODbL · Data source: West Midlands Police

id

{'label': 'ID'}

source_file

{'label': 'Source PDF'}

source_page

{'label': 'Page'}

source_row

{'label': 'Row'}

month

{'label': 'Month'}

reporter_transport_mode

{'label': 'Reporter'}

vehicle_make

{'label': 'Make'}

vehicle_model

{'label': 'Model'}

vehicle_colour

{'label': 'Colour'}

offence

{'label': 'Offence'}

second_offence

{'label': 'Second offence'}

offence_location_raw

{'label': 'Location (raw)'}

offence_location

{'label': 'Location'}

council_area_raw

{'label': 'Council (raw)'}

council_area

{'label': 'Council area'}

disposal

{'label': 'Outcome'}

nfa_rationale

{'label': 'NFA reason'}

witness_contacted

{'label': 'Witness contacted'}

latitude

{'label': 'Lat'}

longitude

{'label': 'Lng'}

41 rows where disposal = "Education", month = "2026-01" and vehicle_make = "Mercedes-Benz" sorted by month descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: vehicle_model, vehicle_colour, offence_location_raw, offence_location, council_area_raw, latitude, longitude

CREATE TABLE reports (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            source_file TEXT NOT NULL,
            source_page INTEGER,
            source_row INTEGER,
            month TEXT NOT NULL,
            reporter_transport_mode TEXT,
            vehicle_make TEXT,
            vehicle_model TEXT,
            vehicle_colour TEXT,
            offence TEXT,
            second_offence TEXT,
            offence_location_raw TEXT,
            offence_location TEXT,
            council_area_raw TEXT,
            council_area TEXT,
            disposal TEXT,
            nfa_rationale TEXT,
            witness_contacted TEXT
        , latitude REAL, longitude REAL);
CREATE INDEX idx_month ON reports(month);
CREATE INDEX idx_council_area ON reports(council_area);
CREATE INDEX idx_offence ON reports(offence);
CREATE INDEX idx_disposal ON reports(disposal);
CREATE INDEX idx_location ON reports(offence_location);