CS09L Series Number Plates
UK vehicles registered in Swansea, Wales during March 2009 to August 2009 with registration prefix CS09L.
- Area Office
- Swansea (Swansea, Wales)
- Release Period
- March 2009 to August 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 85.7%
Average MOT Pass Rate
Based on 28 historical tests
Common Colors
Active Plates in CS09L Series(7 of 7 displayed)
AUDI A7 S LINE BLACK EDIT TDI QUT A
3.0L · Diesel · GREY
- First Used
- Nov 2014
- MOT Expiry
- 24 Feb 2027
- Tax Status
- —
- Color
- GREY
FORD TRANSIT
2.0L · Diesel · Black
- First Used
- Mar 2018
- MOT Expiry
- 13 Jul 2027
- Tax Status
- —
- Color
- Black
BMW 435
3.0L · Petrol · Red
- First Used
- Mar 2014
- MOT Expiry
- 28 Apr 2026
- Tax Status
- —
- Color
- Red
MITSUBISHI OUTLANDER
2.0L · Hybrid Electric (Clean) · Black
- First Used
- Sep 2017
- MOT Expiry
- 03 Nov 2026
- Tax Status
- —
- Color
- Black
CITROEN BERLINGO
1.6L · Diesel · Blue
- First Used
- Sep 2014
- MOT Expiry
- 21 Dec 2026
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN TIGUAN R-LINE EDITION TSI S-A
Petrol · Blue
- First Used
- Oct 2023
- MOT Expiry
- —
- Tax Status
- —
- Color
- Blue
VOLKSWAGEN TRANSPORTER
2.0L · Diesel · Silver
- First Used
- Mar 2013
- MOT Expiry
- 29 Sep 2026
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for CS09L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about CS09L Plates
Where was the CS09L number plate series registered?
Vehicles starting with CS09L were assigned to the Swansea covering Swansea, Wales. The first two letters (CS) identify the memory tag assigned by the DVLA.
What registration period is CS09L?
The CS09L age identifier corresponds to vehicles first registered between March 2009 to August 2009.
How can I check the MOT history of a CS09L 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.