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'}
13 rows where council_area = "Wolverhampton", disposal = "Education" and reporter_transport_mode = "Pedestrian" sorted by month descending
This data as json, CSV (advanced)
Suggested facets: source_file, vehicle_model, vehicle_colour, offence_location_raw, offence_location, latitude, longitude
offence 4
reporter_transport_mode 1
- Pedestrian · 13 ✖
disposal 1
- Education · 13 ✖
council_area 1
- Wolverhampton · 13 ✖
| id | source_file | source_page | source_row | month ▲ | reporter_transport_mode | vehicle_make | vehicle_model | vehicle_colour | offence | second_offence | offence_location_raw | offence_location | council_area_raw | council_area | disposal | nfa_rationale | witness_contacted | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 11770 | op-snap---monthly-publication-january-2026.pdf | 1231 | 2026-01 | Pedestrian | Toyota | Prius | Black | Cause vehicle to be left in a dangerous position | None | Gough Road Coseley | Gough Road Coseley | Wolverhampton | Wolverhampton | Education | N/A | ||||
| 24381 | op-snap---monthly-publication-september-2025.pdf | 600 | 2025-09 | Pedestrian | Toyota | CHR | White | Cause vehicle to be left in a dangerous position | None | Cannock Road | Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.6083917 | -2.1033365 | ||
| 24710 | op-snap---monthly-publication-september-2025.pdf | 929 | 2025-09 | Pedestrian | Kia | Grey | Contravening a Red Traffic Light | None | Bushbury Road | Bushbury Road | Wolverhampton | Wolverhampton | Education | N/A | 52.5988194 | -2.1026037 | |||
| 24711 | op-snap---monthly-publication-september-2025.pdf | 930 | 2025-09 | Pedestrian | Seat | Ibiza | White | Contravening a Red Traffic Light | None | Bushbury Road | Bushbury Road | Wolverhampton | Wolverhampton | Education | N/A | 52.5988194 | -2.1026037 | ||
| 24740 | op-snap---monthly-publication-september-2025.pdf | 959 | 2025-09 | Pedestrian | Audi | A3 | White | Contravening a Red Traffic Light | None | Bushbury Rd / Cannock Rd | Bushbury Road / Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.5988194 | -2.1026037 | ||
| 24757 | op-snap---monthly-publication-september-2025.pdf | 976 | 2025-09 | Pedestrian | Vauxhall | Astra | Grey | Contravening a Red Traffic Light | None | Cannock Road | Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.6083917 | -2.1033365 | ||
| 24758 | op-snap---monthly-publication-september-2025.pdf | 977 | 2025-09 | Pedestrian | Mercedes-Benz | Vito | White | Contravening a Red Traffic Light | None | Cannock Road | Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.6083917 | -2.1033365 | ||
| 24853 | op-snap---monthly-publication-september-2025.pdf | 1072 | 2025-09 | Pedestrian | Audi | A4 | Black | Contravening a Red Traffic Light | None | Bushbury Road / Cannock Road | Bushbury Road / Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.5988194 | -2.1026037 | ||
| 24855 | op-snap---monthly-publication-september-2025.pdf | 1074 | 2025-09 | Pedestrian | Ford | Puma | Grey | Contravening a Red Traffic Light | None | Bushbury Road / Cannock Road | Bushbury Road / Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.5988194 | -2.1026037 | ||
| 24868 | op-snap---monthly-publication-september-2025.pdf | 1087 | 2025-09 | Pedestrian | Ford | Focus | White | Contravening a Red Traffic Light | None | Cannock Road | Cannock Road | Wolverhampton | Wolverhampton | Education | N/A | 52.6083917 | -2.1033365 | ||
| 15008 | op-snap---monthly-publication-june-2025.pdf | 937 | 2025-06 | Pedestrian | Ford | Torneo | Silver | Stop a vehicle within pelican pedestrian crossing limits | None | High Street | High Street | Wolverhampton | Wolverhampton | Education | N/A | 52.5635963 | -2.0827567 | ||
| 15009 | op-snap---monthly-publication-june-2025.pdf | 938 | 2025-06 | Pedestrian | Ford | Torneo | Silver | Stop a vehicle within pelican pedestrian crossing limits | None | High Street | High Street | Wolverhampton | Wolverhampton | Education | N/A | 52.5635963 | -2.0827567 | ||
| 17022 | op-snap---monthly-publication-march-2025.pdf | 779 | 2025-03 | Pedestrian | Mercedes-Benz | A180 | Grey | Stop a vehicle on pedestrian crossing | None | High Street | High Street | Wolverhampton | Wolverhampton | Education | N/A | Yes - Via Email | 52.5635963 | -2.0827567 |
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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);