RT52B Series Number Plates
UK vehicles registered in Reading, Berkshire during September 2002 to February 2003 with registration prefix RT52B.
- Area Office
- Reading (Reading, Berkshire)
- Release Period
- September 2002 to February 2003
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84%
Average MOT Pass Rate
Based on 25 historical tests
Common Colors
Active Plates in RT52B Series(7 of 7 displayed)
ALFA ROMEO 159
1.9L · Diesel · Grey
- First Used
- Jun 2009
- MOT Expiry
- 10 Mar 2027
- Tax Status
- —
- Color
- Grey
AUDI Q2
1.5L · Petrol · Black
- First Used
- May 2022
- MOT Expiry
- 02 Feb 2027
- Tax Status
- —
- Color
- Black
KIA SOUL
1.6L · Petrol · White
- First Used
- Sep 2015
- MOT Expiry
- 16 May 2026
- Tax Status
- —
- Color
- White
HYUNDAI TUCSON N LNE 48V MHEV CRDI 2WD
1.6L · Electric Diesel · Grey
- First Used
- Jul 2020
- MOT Expiry
- 30 Jul 2027
- Tax Status
- —
- Color
- Grey
VAUXHALL INSIGNIA
2.0L · Diesel · Grey
- First Used
- Mar 2010
- MOT Expiry
- 31 Mar 2027
- Tax Status
- —
- Color
- Grey
SKODA OCTAVIA
2.0L · Diesel · White
- First Used
- Oct 2016
- MOT Expiry
- 30 Oct 2026
- Tax Status
- —
- Color
- White
NISSAN CABSTAR
2.5L · Diesel · Silver
- First Used
- Mar 2012
- MOT Expiry
- 27 Mar 2026
- Tax Status
- —
- Color
- Silver
Reliability & Common Problem Guides for RT52B Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about RT52B Plates
Where was the RT52B number plate series registered?
Vehicles starting with RT52B were assigned to the Reading covering Reading, Berkshire. The first two letters (RT) identify the memory tag assigned by the DVLA.
What registration period is RT52B?
The RT52B age identifier corresponds to vehicles first registered between September 2002 to February 2003.
How can I check the MOT history of a RT52B 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.