YJ58R Series Number Plates
UK vehicles registered in Leeds, Yorkshire during September 2008 to February 2009 with registration prefix YJ58R.
- Area Office
- Leeds (Leeds, Yorkshire)
- Release Period
- September 2008 to February 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 72.7%
Average MOT Pass Rate
Based on 22 historical tests
Common Colors
Active Plates in YJ58R Series(7 of 7 displayed)
LAND ROVER RANGE ROVER SPORT
3.0L · Diesel · Black
- First Used
- Jan 2015
- MOT Expiry
- 12 Jun 2027
- Tax Status
- —
- Color
- Black
VOLVO FE
HEAVY OIL · WHITE
- First Used
- Feb 2009
- MOT Expiry
- 02 Mar 2027
- Tax Status
- —
- Color
- WHITE
VOLVO FM VERSION 2
Diesel · SILVER
- First Used
- Dec 2008
- MOT Expiry
- 14 Mar 2027
- Tax Status
- —
- Color
- SILVER
PEUGEOT GEOPOLIS
0.2L · Petrol · Grey
- First Used
- Nov 2008
- MOT Expiry
- 20 Jul 2027
- Tax Status
- —
- Color
- Grey
DERBI MALOSSI
0.2L · Petrol · Silver
- First Used
- Nov 2008
- MOT Expiry
- 13 May 2027
- Tax Status
- —
- Color
- Silver
LAND ROVER RANGE ROVER
3.6L · Diesel · Black
- First Used
- Jan 2009
- MOT Expiry
- 02 Dec 2023
- Tax Status
- —
- Color
- Black
LAND ROVER RANGE ROVER
4.2L · PETROL · BLACK
- First Used
- Feb 2009
- MOT Expiry
- 14 Jan 2016
- Tax Status
- Untaxed
- Color
- BLACK
Reliability & Common Problem Guides for YJ58R Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about YJ58R Plates
Where was the YJ58R number plate series registered?
Vehicles starting with YJ58R were assigned to the Leeds covering Leeds, Yorkshire. The first two letters (YJ) identify the memory tag assigned by the DVLA.
What registration period is YJ58R?
The YJ58R age identifier corresponds to vehicles first registered between September 2008 to February 2009.
How can I check the MOT history of a YJ58R 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.