BR57L Series Number Plates
UK vehicles registered in Birmingham, West Midlands during September 2007 to February 2008 with registration prefix BR57L.
- Area Office
- Birmingham (Birmingham, West Midlands)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 87%
Average MOT Pass Rate
Based on 23 historical tests
Common Colors
Active Plates in BR57L Series(7 of 7 displayed)
NISSAN X-TRAIL
2.0L · Diesel · Grey
- First Used
- Sep 2007
- MOT Expiry
- 29 Oct 2025
- Tax Status
- —
- Color
- Grey
PEUGEOT 207
1.4L · Petrol · Blue
- First Used
- Jul 2009
- MOT Expiry
- 26 Jul 2027
- Tax Status
- —
- Color
- Blue
BMW 320D XDRIVE M SPORT AUTO
2.0L · Diesel · BLACK
- First Used
- Nov 2015
- MOT Expiry
- 29 Jun 2027
- Tax Status
- —
- Color
- BLACK
BMW 1 SERIES
3.0L · Petrol · Black
- First Used
- Jun 2019
- MOT Expiry
- 30 Jun 2027
- Tax Status
- —
- Color
- Black
BMW X5
3.0L · Diesel · White
- First Used
- Sep 2012
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- White
PEUGEOT 3008
1.6L · Diesel · Red
- First Used
- May 2014
- MOT Expiry
- 14 Jan 2027
- Tax Status
- —
- Color
- Red
FORD TRANSIT
2.2L · Diesel · Orange
- First Used
- Nov 2013
- MOT Expiry
- 21 Aug 2026
- Tax Status
- —
- Color
- Orange
Reliability & Common Problem Guides for BR57L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about BR57L Plates
Where was the BR57L number plate series registered?
Vehicles starting with BR57L were assigned to the Birmingham covering Birmingham, West Midlands. The first two letters (BR) identify the memory tag assigned by the DVLA.
What registration period is BR57L?
The BR57L age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a BR57L vehicle?
Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.