CC59B Series Number Plates
UK vehicles registered in Cardiff, Wales during September 2009 to February 2010 with registration prefix CC59B.
- Area Office
- Cardiff (Cardiff, Wales)
- Release Period
- September 2009 to February 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 81.8%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in CC59B Series(7 of 7 displayed)
FORD KUGA
2.5L · Diesel · Silver
- First Used
- Sep 2009
- MOT Expiry
- 21 Jan 2026
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN ID5 STYLE PRO PERFORMANCE
Electric · Black
- First Used
- Dec 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
VOLKSWAGEN TIGUAN R-LINE TSI S-A
Hybrid Electric (Clean) · Black
- First Used
- May 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
VOLKSWAGEN GOLF
2.0L · Petrol · Red
- First Used
- Jan 2012
- MOT Expiry
- 18 Sep 2026
- Tax Status
- —
- Color
- Red
LAND ROVER FREELANDER
2.2L · Diesel · Red
- First Used
- Mar 2010
- MOT Expiry
- 09 Jul 2027
- Tax Status
- —
- Color
- Red
PORSCHE BOXSTER
2.0L · Petrol · Blue
- First Used
- Jul 2021
- MOT Expiry
- 08 Jan 2027
- Tax Status
- —
- Color
- Blue
LAND ROVER FREELANDER
2.2L · Diesel · Black
- First Used
- Jul 2013
- MOT Expiry
- 13 Aug 2024
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for CC59B Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about CC59B Plates
Where was the CC59B number plate series registered?
Vehicles starting with CC59B were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CC) identify the memory tag assigned by the DVLA.
What registration period is CC59B?
The CC59B age identifier corresponds to vehicles first registered between September 2009 to February 2010.
How can I check the MOT history of a CC59B 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.