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'}
15 rows where disposal = "Education", month = "2025-04" and reporter_transport_mode = "Pedestrian" sorted by month descending
This data as json, CSV (advanced)
Suggested facets: vehicle_model, vehicle_colour, offence_location_raw, offence_location, council_area_raw, latitude, longitude
vehicle_make 11
- Ford 2
- Peugeot 2
- Toyota 2
- Volkswagen 2
- BMW 1
- Kia 1
- Mercedes-Benz 1
- Mitsubishi 1
- Nissan 1
- Porsche 1
- Renault 1
offence 5
council_area 5
- Birmingham 8
- Coventry 2
- Solihull 2
- Walsall 2
- Dudley 1
reporter_transport_mode 1
- Pedestrian · 15 ✖
month 1
- 2025-04 · 15 ✖
disposal 1
- Education · 15 ✖
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 103 | op-snap---monthly-publication-april-2025.pdf | 102 | 2025-04 | Pedestrian | Porsche | Macan | Silver | Contravening a Red Traffic Light | None | Littleton St | Littleton Street | Walsall | Walsall | Education | N/A | 52.5885092 | -1.9817997 | ||
| 104 | op-snap---monthly-publication-april-2025.pdf | 103 | 2025-04 | Pedestrian | Kia | Sedona | Red | Contravening a Red Traffic Light | None | Littleton St | Littleton Street | Walsall | Walsall | Education | N/A | 52.5885092 | -1.9817997 | ||
| 658 | op-snap---monthly-publication-april-2025.pdf | 657 | 2025-04 | Pedestrian | Ford | Focus | Grey | Stop a vehicle on pedestrian crossing | None | Green Lane | Green Lane | Solihull | Solihull | Education | N/A | 52.5069826 | -1.7643766 | ||
| 659 | op-snap---monthly-publication-april-2025.pdf | 658 | 2025-04 | Pedestrian | Mitsubishi | Colt | Red | Stop a vehicle on pedestrian crossing | None | Green Lane | Green Lane | Solihull | Solihull | Education | N/A | 52.5069826 | -1.7643766 | ||
| 668 | op-snap---monthly-publication-april-2025.pdf | 667 | 2025-04 | Pedestrian | Peugeot | 208.. | Grey | Stop a vehicle within pelican pedestrian crossing limits | None | Halesowen Road, Old Hill Cradley Heath | Halesowen Road, Old Hill Cradley Heath | Dudley | Dudley | Education | N/A | 52.4641171 | -2.0557973 | ||
| 674 | op-snap---monthly-publication-april-2025.pdf | 673 | 2025-04 | Pedestrian | Nissan | NV200 | Black | Driving without Reasonable Consideration | None | Field Lane | Field Lane | Birmingham | Birmingham | Education | N/A | 52.4357693 | -2.0087938 | ||
| 676 | op-snap---monthly-publication-april-2025.pdf | 675 | 2025-04 | Pedestrian | Ford | Focus | Grey | Driving without Reasonable Consideration | None | Genners Lane Road | Genners Lane Road | Birmingham | Birmingham | Education | N/A | ||||
| 679 | op-snap---monthly-publication-april-2025.pdf | 678 | 2025-04 | Pedestrian | Peugeot | Van | White | Stop a vehicle within pelican pedestrian crossing limits | None | Poplar Road, Kings Heath | Poplar Road, Kings Heath | Birmingham | Birmingham | Education | N/A | 52.436035 | -1.891685 | ||
| 721 | op-snap---monthly-publication-april-2025.pdf | 720 | 2025-04 | Pedestrian | Volkswagen | Troc | Grey | Cause vehicle to be left in a dangerous position | None | Ashdale Drive | Ashdale Drive | Birmingham | Birmingham | Education | N/A | 52.4027335 | -1.876125 | ||
| 771 | op-snap---monthly-publication-april-2025.pdf | 770 | 2025-04 | Pedestrian | Toyota | Corolla | Silver | Contravening a Red Traffic Light | None | Greyfriars Road | Greyfriars Road | Coventry | Coventry | Education | N/A | 52.4052565 | -1.515244 | ||
| 772 | op-snap---monthly-publication-april-2025.pdf | 771 | 2025-04 | Pedestrian | BMW | M3 Sport | White | Contravening a Red Traffic Light | None | Far Gosford Street | Far Gosford Street | Coventry | Coventry | Education | N/A | 52.4071231 | -1.4985178 | ||
| 780 | op-snap---monthly-publication-april-2025.pdf | 779 | 2025-04 | Pedestrian | Volkswagen | Golf | Blue | Stop a vehicle within pelican pedestrian crossing limits | None | Dudley Road | Dudley Road | Birmingham | Birmingham | Education | N/A | 52.4865107 | -1.9386263 | ||
| 781 | op-snap---monthly-publication-april-2025.pdf | 780 | 2025-04 | Pedestrian | Toyota | Estima | Grey | Stop a vehicle within pelican pedestrian crossing limits | None | Dudley Road | Dudley Road | Birmingham | Birmingham | Education | N/A | 52.4865107 | -1.9386263 | ||
| 782 | op-snap---monthly-publication-april-2025.pdf | 781 | 2025-04 | Pedestrian | Mercedes-Benz | Sprinter | Yellow | Stop a vehicle within pelican pedestrian crossing limits | None | Dudley Road | Dudley Road | Birmingham | Birmingham | Education | N/A | 52.4865107 | -1.9386263 | ||
| 784 | op-snap---monthly-publication-april-2025.pdf | 783 | 2025-04 | Pedestrian | Renault | Traffic | Grey | Cause vehicle to be left in a dangerous position | None | Rotten Park Road | Rotten Park Road | Birmingham | Birmingham | Education | N/A |
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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);