Nissan Navara crash - 14 Apr 2022
Accident reference 2022411203037
Accident summary
On Thursday 14 April 2022 at 08:30 a slight collision occurred involving 1 vehicle (nissan navara) and 1 casualty (1 slight) Weather at the time was recorded as fine no high winds. Road surface conditions were wet or damp. Lighting was described as daylight. A police officer attended the scene.
Key details
- Posted speed limit: 20 mph
- Road type: Single carriageway
- Setting: Rural
Location
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Basic Information
| Accident Reference | 2022411203037 |
| Police Reference | 411203037 |
| Date & Time |
Thursday
|
| Severity | Slight |
| Vehicles Involved | 1 |
| Casualties | 1 |
| Police Force | Hertfordshire |
| Police Officer Attended | Yes |
Road & Location Details
| Area Type | Rural |
| First Road | Unclassified road |
| Second Road | Unclassified road |
| Road Type | Single carriageway |
| Speed Limit | 20 mph |
| Trunk Road | Yes |
| Highway Authority | E10000015 |
| LSOA Code | E01023433 |
Environmental Conditions
| Light Conditions | Daylight |
| Weather Conditions | Fine no high winds |
| Road Surface Conditions | Wet or damp |
| Special Conditions | None |
| Carriageway Hazards | None |
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SlightVehicles (1)
Vehicle 1
Vehicle Information
| Type | Van / Goods 3.5 tonnes mgw or under |
| Make/Model | NISSAN NAVARA |
| Vehicle Age | 4 years |
| Engine Capacity | 2298cc |
| Fuel Type | Heavy oil |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 56 |
| Sex | Male |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 10 (1=most deprived, 10=least deprived) |
Casualties (1)
Casualty 1
Basic Information
| Class | Pedestrian |
| Severity | Slight |
| Type | Pedestrian |
| Age | 5 |
| Sex | Male |
| Associated Vehicle | Vehicle 1 |
Additional Details
| Pedestrian Location | In carriageway, not crossing |
| Pedestrian Movement | In carriageway, stationary - not crossing |
| Home Area Type | Rural |
| IMD Decile | 8 (1=most deprived, 10=least deprived) |
Quick Actions
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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.