BB57K Series Number Plates
UK vehicles registered in Birmingham, West Midlands during September 2007 to February 2008 with registration prefix BB57K.
- Area Office
- Birmingham (Birmingham, West Midlands)
- Release Period
- September 2007 to February 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 77.1%
Average MOT Pass Rate
Based on 35 historical tests
Common Colors
Active Plates in BB57K Series(7 of 7 displayed)
MERCEDES-BENZ E
2.1L · Diesel · Silver
- First Used
- Nov 2013
- MOT Expiry
- 13 Feb 2027
- Tax Status
- —
- Color
- Silver
SEAT ATECA
1.0L · Petrol · White
- First Used
- Dec 2018
- MOT Expiry
- 26 Oct 2026
- Tax Status
- —
- Color
- White
PEUGEOT 2008
1.2L · Petrol · Grey
- First Used
- Mar 2017
- MOT Expiry
- 23 Apr 2027
- Tax Status
- —
- Color
- Grey
AUDI A3
2.0L · Diesel · Blue
- First Used
- Sep 2016
- MOT Expiry
- 13 Jun 2027
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN TIGUAN
2.0L · Diesel · White
- First Used
- Mar 2018
- MOT Expiry
- 07 Jun 2027
- Tax Status
- —
- Color
- White
MITSUBISHI SHOGUN
3.2L · Diesel · Silver
- First Used
- Nov 2013
- MOT Expiry
- 06 Nov 2026
- Tax Status
- —
- Color
- Silver
MINI MINI
1.6L · Diesel · Black
- First Used
- Sep 2007
- MOT Expiry
- 24 Apr 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for BB57K Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about BB57K Plates
Where was the BB57K number plate series registered?
Vehicles starting with BB57K were assigned to the Birmingham covering Birmingham, West Midlands. The first two letters (BB) identify the memory tag assigned by the DVLA.
What registration period is BB57K?
The BB57K age identifier corresponds to vehicles first registered between September 2007 to February 2008.
How can I check the MOT history of a BB57K 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.