DX58M Series Number Plates
UK vehicles registered in Deeside & North West Region during September 2008 to February 2009 with registration prefix DX58M.
- Area Office
- Chester (Deeside & North West Region)
- Release Period
- September 2008 to February 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 75%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in DX58M Series(7 of 7 displayed)
FORD RANGER
2.5L · Diesel · Green
- First Used
- Feb 2009
- MOT Expiry
- 26 Sep 2023
- Tax Status
- —
- Color
- Green
FORD FIESTA
1.4L · Diesel · Green
- First Used
- Dec 2008
- MOT Expiry
- 04 Mar 2025
- Tax Status
- —
- Color
- Green
PIAGGIO GTS
0.3L · Petrol · White
- First Used
- Oct 2008
- MOT Expiry
- 27 Feb 2023
- Tax Status
- —
- Color
- White
DERBI MULHACEN CAFÐ 659
0.7L · Petrol · Black
- First Used
- Dec 2008
- MOT Expiry
- 25 Mar 2027
- Tax Status
- —
- Color
- Black
LML STAR DELUXE
0.1L · Petrol · Blue
- First Used
- Jan 2009
- MOT Expiry
- 18 Sep 2026
- Tax Status
- —
- Color
- Blue
HYOSUNG GV 250 AQUILA
0.2L · Petrol · Black
- First Used
- Nov 2008
- MOT Expiry
- 12 Jun 2026
- Tax Status
- —
- Color
- Black
WUYANG WY
0.1L · Petrol · Blue
- First Used
- Dec 2008
- MOT Expiry
- 22 Aug 2024
- Tax Status
- —
- Color
- Blue
Reliability & Common Problem Guides for DX58M Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about DX58M Plates
Where was the DX58M number plate series registered?
Vehicles starting with DX58M were assigned to the Chester covering Deeside & North West Region. The first two letters (DX) identify the memory tag assigned by the DVLA.
What registration period is DX58M?
The DX58M age identifier corresponds to vehicles first registered between September 2008 to February 2009.
How can I check the MOT history of a DX58M 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.