reports

Each row is one public submission to Operation Snap. Includes the offence, vehicle details, location, and outcome.

Disposal outcomes: Education (driver awareness course), Warning Letter, Fixed Penalty (fine), Court (prosecution), NFA (no further action).

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'}

10 rows where offence = "Contravening a Red Traffic Light", reporter_transport_mode = "Pedestrian" and vehicle_make = "Volkswagen" sorted by month descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: source_file, vehicle_model, vehicle_colour, council_area_raw, nfa_rationale, latitude, longitude

council_area 4

disposal 3

vehicle_make 1

  • Volkswagen · 10 ✖

reporter_transport_mode 1

  • Pedestrian · 10 ✖

offence 1

  • Contravening a Red Traffic Light · 10 ✖
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
3905 op-snap---monthly-publication-december-2025.pdf   33 2025-12 Pedestrian Volkswagen Crafter White Contravening a Red Traffic Light None Leaf Lane Leaf Lane Coventry Coventry NFA No Independent Evidence Available   52.3837942 -1.4979145
22026 op-snap---monthly-publication-november-2025.pdf   1568 2025-11 Pedestrian Volkswagen   Black Contravening a Red Traffic Light None Hill Street Hill Street Birmingham Birmingham NFA No VRM   52.4777765 -1.901321
24708 op-snap---monthly-publication-september-2025.pdf   927 2025-09 Pedestrian Volkswagen Golf Black Contravening a Red Traffic Light None Bushbury Road Bushbury Road Wolverhampton Wolverhampton NFA No Offence   52.5988194 -2.1026037
24865 op-snap---monthly-publication-september-2025.pdf   1084 2025-09 Pedestrian Volkswagen Touran Silver Contravening a Red Traffic Light None Cannock Road Cannock Road Wolverhampton Wolverhampton Fixed Penalty N/A   52.6083917 -2.1033365
2848 op-snap---monthly-publication-august-2025.pdf   823 2025-08 Pedestrian Volkswagen Golf Silver Contravening a Red Traffic Light None Highgate Middleway Highgate Middleway Birmingham Birmingham Education N/A   52.4661171 -1.8832818
12360 op-snap---monthly-publication-july-2025.pdf   412 2025-07 Pedestrian Volkswagen Polo Grey Contravening a Red Traffic Light None Daw End Lane Daw End Lane Walsall Walsall Education N/A   52.6068849 -1.9611652
19339 op-snap---monthly-publication-may-2025.pdf   701 2025-05 Pedestrian Volkswagen Golf Black Contravening a Red Traffic Light None Daw End lane Daw End lane Walsall Walsall Education N/A   52.6068849 -1.9611652
1050 op-snap---monthly-publication-april-2025.pdf   1049 2025-04 Pedestrian Volkswagen   Blue Contravening a Red Traffic Light None Daw end lane , Walsall Daw end lane , Walsall Walsall Walsall NFA Outside of 14 Days NIP   52.6069179 -1.9610677
16427 op-snap---monthly-publication-march-2025.pdf   184 2025-03 Pedestrian Volkswagen Polo Grey Contravening a Red Traffic Light None Daw End Lane at Lichfield Road Daw End Lane at Lichfield Road Walsall Walsall Education N/A Yes - Via Email 52.6057559 -1.9583791
5783 op-snap---monthly-publication-february-2025.pdf   600 2025-02 Pedestrian Volkswagen Caddy White Contravening a Red Traffic Light None Daw End Lane, Rushall Daw End Lane, Rushall Walsall Walsall NFA No Offence Yes - Via Email 52.6051634 -1.956872

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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);