CG16C Series Number Plates
UK vehicles registered in Cardiff, Wales during March 2016 to August 2016 with registration prefix CG16C.
- Area Office
- Cardiff (Cardiff, Wales)
- Release Period
- March 2016 to August 2016
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 86.4%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in CG16C Series(7 of 7 displayed)
CITROEN C3 COLLECTION
Petrol · Grey
- First Used
- Jul 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Grey
FORD MUSTANG MACH-E SEL STD RNG RWD
Electric · Black
- First Used
- May 2025
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
BMW X2
2.0L · Diesel · Black
- First Used
- May 2018
- MOT Expiry
- 12 Nov 2026
- Tax Status
- —
- Color
- Black
VOLKSWAGEN T-ROC MATCH TSI
1.0L · Petrol · Black
- First Used
- Apr 2024
- MOT Expiry
- 04 Jun 2027
- Tax Status
- —
- Color
- Black
LAND ROVER RANGE ROVER EVOQUE
2.0L · Diesel · Brown
- First Used
- Mar 2016
- MOT Expiry
- 26 Mar 2027
- Tax Status
- —
- Color
- Brown
MERCEDES-BENZ CLA
2.1L · Diesel · White
- First Used
- Jul 2016
- MOT Expiry
- 02 Jul 2026
- Tax Status
- —
- Color
- White
MERCEDES-BENZ GLC 250 D 4M AMG LINE PREM A
2.1L · HEAVY OIL · GREY
- First Used
- Jan 2017
- MOT Expiry
- 17 Jul 2027
- Tax Status
- —
- Color
- GREY
Reliability & Common Problem Guides for CG16C Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about CG16C Plates
Where was the CG16C number plate series registered?
Vehicles starting with CG16C were assigned to the Cardiff covering Cardiff, Wales. The first two letters (CG) identify the memory tag assigned by the DVLA.
What registration period is CG16C?
The CG16C age identifier corresponds to vehicles first registered between March 2016 to August 2016.
How can I check the MOT history of a CG16C 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.