home / opsnap

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'}

13 rows where council_area = "Wolverhampton", disposal = "Fixed Penalty" and offence = "Stop a vehicle within pelican pedestrian crossing limits" sorted by month descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: source_file, vehicle_colour, offence_location_raw, offence_location, latitude, longitude

vehicle_make 11

  • Audi 2
  • Mercedes-Benz 2
  • Alfa Romeo 1
  • BMW 1
  • Fiat 1
  • Ford 1
  • Honda 1
  • Hyundai 1
  • Land Rover 1
  • Renault 1
  • Skoda 1

month 4

  • 2025-02 6
  • 2025-03 3
  • 2025-01 2
  • 2025-04 2

reporter_transport_mode 2

  • Car 12
  • Pedestrian 1

offence 1

  • Stop a vehicle within pelican pedestrian crossing limits · 13 ✖

disposal 1

  • Fixed Penalty · 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
423 op-snap---monthly-publication-april-2025.pdf   422 2025-04 Car Land Rover Range Rover White Stop a vehicle within pelican pedestrian crossing limits None High Street Tettenhall High Street Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A   52.5980906 -2.168057
533 op-snap---monthly-publication-april-2025.pdf   532 2025-04 Car Mercedes-Benz BENZ Black Stop a vehicle within pelican pedestrian crossing limits None WILENHALL ROAD Wilenhall Road Wolverhampton Wolverhampton Fixed Penalty N/A      
16677 op-snap---monthly-publication-march-2025.pdf   434 2025-03 Car Audi Q7 White Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
17519 op-snap---monthly-publication-march-2025.pdf   1276 2025-03 Car Skoda Kodiaq Black Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
17881 op-snap---monthly-publication-march-2025.pdf   1638 2025-03 Car Alfa Romeo Giulitta Red Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
5196 op-snap---monthly-publication-february-2025.pdf   13 2025-02 Car Mercedes-Benz A180 Black Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
5499 op-snap---monthly-publication-february-2025.pdf   316 2025-02 Car Renault Scenic Grey Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
5758 op-snap---monthly-publication-february-2025.pdf   575 2025-02 Car Audi A3 Black Stop a vehicle within pelican pedestrian crossing limits None Prestwood Road West Prestwood Road West Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.6072849 -2.0924854
6020 op-snap---monthly-publication-february-2025.pdf   837 2025-02 Car Fiat Punto Blue Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
6023 op-snap---monthly-publication-february-2025.pdf   840 2025-02 Car Ford Fiesta Blue Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
6715 op-snap---monthly-publication-february-2025.pdf   1532 2025-02 Car BMW M4 White Stop a vehicle within pelican pedestrian crossing limits None High Street Tetenhall High Street Tetenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email    
9301 op-snap---monthly-publication-january-2025.pdf   409 2025-01 Car Honda Civic Black Stop a vehicle within pelican pedestrian crossing limits None High Street, Tettenhall High Street, Tettenhall Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5980906 -2.168057
9905 op-snap---monthly-publication-january-2025.pdf   1013 2025-01 Pedestrian Hyundai IONIQ Silver Stop a vehicle within pelican pedestrian crossing limits None HIGH STREET High Street Wolverhampton Wolverhampton Fixed Penalty N/A Yes - Via Email 52.5635963 -2.0827567

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);