Nissan Juke crash in Oxford - 21 Mar 2022
Accident reference 2022430123024
Accident summary
On Monday 21 March 2022 at 09:30 a slight collision occurred near Oxford involving 2 vehicles (nissan juke, pedal cycle) and 1 casualty (1 slight) Weather at the time was recorded as fine no high winds. Road surface conditions were dry. Lighting was described as daylight. A police officer attended the scene.
Key details
- Posted speed limit: 20 mph
- Road type: Single carriageway
- Setting: Urban
Location
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Basic Information
| Accident Reference | 2022430123024 |
| Police Reference | 430123024 |
| Date & Time |
Monday
|
| Severity | Slight |
| Vehicles Involved | 2 |
| Casualties | 1 |
| Police Force | Thames Valley |
| Police Officer Attended | Yes |
Road & Location Details
| Area Type | Urban |
| Road Type | Single carriageway |
| Speed Limit | 20 mph |
| Trunk Road | Yes |
| Highway Authority | E10000025 |
| LSOA Code | E01028537 |
Environmental Conditions
| Light Conditions | Daylight |
| Weather Conditions | Fine no high winds |
| Road Surface Conditions | Dry |
| Special Conditions | None |
| Carriageway Hazards | None |
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SlightVehicles (2)
Vehicle 1
Vehicle Information
| Type | Car |
| Make/Model | NISSAN JUKE |
| Vehicle Age | 11 years |
| Engine Capacity | 1598cc |
| Fuel Type | Petrol |
| Left Hand Drive | Yes |
| Manoeuvre | Moving off |
Driver Information
| Age | 47 |
| Sex | Female |
| Journey Purpose | Not known |
Vehicle 2
Vehicle Information
| Type | Pedal cycle |
| Left Hand Drive | Yes |
| Manoeuvre | Overtaking static vehicle on its offside |
Driver Information
| Age | 48 |
| Sex | Male |
| Journey Purpose | Commuting to/from work |
| Home Area Type | Urban |
| IMD Decile | 6 (1=most deprived, 10=least deprived) |
Casualties (1)
Casualty 1
Basic Information
| Class | Driver or rider |
| Severity | Slight |
| Type | Cyclist |
| Age | 48 |
| Sex | Male |
| Associated Vehicle | Vehicle 2 |
Additional Details
| Home Area Type | Urban |
| IMD Decile | 6 (1=most deprived, 10=least deprived) |
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Data Source
This data is from the UK Department for Transport's STATS19 road safety dataset, available under the Open Government Licence v3.0.