CG09E Series Number Plates
UK vehicles registered in Cardiff, Wales during March 2009 to August 2009 with registration prefix CG09E.
- Area Office
- Cardiff (Cardiff, Wales)
- Release Period
- March 2009 to August 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84.6%
Average MOT Pass Rate
Based on 26 historical tests
Common Colors
Active Plates in CG09E Series(7 of 7 displayed)
MAZDA MAZDA 2 HYBRID EXCLUSVE-LN CVT
Hybrid Electric (Clean) · Black
- First Used
- Jan 2026
- MOT Expiry
- —
- Tax Status
- —
- Color
- Black
VAUXHALL CORSA ELITE EDITION
1.2L · Petrol · Grey
- First Used
- Nov 2021
- MOT Expiry
- 22 Nov 2026
- Tax Status
- —
- Color
- Grey
AUDI A4 S LINE TDI
2.0L · Diesel · SILVER
- First Used
- Mar 2014
- MOT Expiry
- 20 Feb 2027
- Tax Status
- —
- Color
- SILVER
FIAT 500
1.2L · Petrol · Beige
- First Used
- Sep 2014
- MOT Expiry
- 08 Jul 2027
- Tax Status
- —
- Color
- Beige
VOLKSWAGEN TIGUAN R-LINE TECH TDI 4M SA
2.0L · Diesel · Black
- First Used
- May 2019
- MOT Expiry
- 01 Jun 2027
- Tax Status
- —
- Color
- Black
MITSUBISHI LANCER
2.0L · Petrol · Red
- First Used
- Dec 2009
- MOT Expiry
- 03 Jul 2027
- Tax Status
- —
- Color
- Red
RENAULT CLIO
0.9L · Petrol · Grey
- First Used
- Jan 2017
- MOT Expiry
- 26 Nov 2026
- Tax Status
- —
- Color
- Grey
Reliability & Common Problem Guides for CG09E Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about CG09E Plates
Where was the CG09E number plate series registered?
Vehicles starting with CG09E 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 CG09E?
The CG09E age identifier corresponds to vehicles first registered between March 2009 to August 2009.
How can I check the MOT history of a CG09E 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.