CO53A Series Number Plates
UK vehicles registered in Cardiff, Wales during September 2003 to February 2004 with registration prefix CO53A.
- Area Office
- Cardiff (Cardiff, Wales)
- Release Period
- September 2003 to February 2004
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 90.3%
Average MOT Pass Rate
Based on 31 historical tests
Common Colors
Active Plates in CO53A Series(7 of 7 displayed)
FORD KUGA
2.0L · DIESEL · WHITE
- First Used
- Sep 2016
- MOT Expiry
- 01 Jun 2027
- Tax Status
- Taxed
- Color
- WHITE
PORSCHE 911
3.6L · Petrol · Green
- First Used
- Jun 2008
- MOT Expiry
- 30 Jun 2024
- Tax Status
- SORN
- Color
- Green
LAND ROVER RANGE ROVER EVOQUE
2.0L · Diesel · Black
- First Used
- Oct 2016
- MOT Expiry
- 20 Apr 2027
- Tax Status
- Taxed
- Color
- Black
AUDI A1
1.0L · Petrol · White
- First Used
- Apr 2016
- MOT Expiry
- 14 Jan 2027
- Tax Status
- Taxed
- Color
- White
MERCEDES-BENZ SPRINTER
2.1L · Diesel · White
- First Used
- Nov 2012
- MOT Expiry
- 17 Sep 2026
- Tax Status
- Taxed
- Color
- White
MITSUBISHI OUTLANDER
2.3L · Diesel · Grey
- First Used
- Sep 2013
- MOT Expiry
- 13 May 2027
- Tax Status
- Taxed
- Color
- Grey
FIAT 500
1.2L · Petrol · White
- First Used
- May 2016
- MOT Expiry
- 06 Dec 2026
- Tax Status
- Taxed
- Color
- White
Reliability & Common Problem Guides for CO53A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about CO53A Plates
Where was the CO53A number plate series registered?
Vehicles starting with CO53A were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CO) identify the memory tag assigned by the DVLA.
What registration period is CO53A?
The CO53A age identifier corresponds to vehicles first registered between September 2003 to February 2004.
How can I check the MOT history of a CO53A 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.