RG10L Series Number Plates
UK vehicles registered in Reading, Berkshire during March 2010 to August 2010 with registration prefix RG10L.
- Area Office
- Reading (Reading, Berkshire)
- Release Period
- March 2010 to August 2010
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 89.7%
Average MOT Pass Rate
Based on 29 historical tests
Common Colors
Active Plates in RG10L Series(7 of 7 displayed)
VAUXHALL CROSSLAND SRI NAV TURBO
1.2L · Petrol · White
- First Used
- Mar 2021
- MOT Expiry
- 09 Feb 2027
- Tax Status
- —
- Color
- White
VOLKSWAGEN GOLF
2.0L · Petrol · White
- First Used
- Mar 2019
- MOT Expiry
- 09 Jul 2026
- Tax Status
- —
- Color
- White
TOYOTA RAV4
2.5L · Hybrid Electric (Clean) · Black
- First Used
- Jan 2016
- MOT Expiry
- 27 Jul 2027
- Tax Status
- —
- Color
- Black
KIA SPORTAGE
1.6L · Petrol · Silver
- First Used
- Mar 2016
- MOT Expiry
- 28 Jan 2027
- Tax Status
- —
- Color
- Silver
VOLKSWAGEN GOLF
2.0L · Petrol · Blue
- First Used
- May 2015
- MOT Expiry
- 02 Nov 2026
- Tax Status
- —
- Color
- Blue
NISSAN QASHQAI
1.5L · Diesel · Black
- First Used
- May 2010
- MOT Expiry
- 01 Jun 2027
- Tax Status
- —
- Color
- Black
FORD TRANSIT CUSTOM 300 TREND EBLUE
Diesel · White
- First Used
- Mar 2024
- MOT Expiry
- —
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for RG10L Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about RG10L Plates
Where was the RG10L number plate series registered?
Vehicles starting with RG10L were assigned to the Reading covering Reading, Berkshire. The first two letters (RG) identify the memory tag assigned by the DVLA.
What registration period is RG10L?
The RG10L age identifier corresponds to vehicles first registered between March 2010 to August 2010.
How can I check the MOT history of a RG10L 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.