FK52T Series Number Plates
UK vehicles registered in Nottingham, East Midlands during September 2002 to February 2003 with registration prefix FK52T.
- Area Office
- Nottingham (Nottingham, East Midlands)
- Release Period
- September 2002 to February 2003
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84.8%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in FK52T Series(7 of 7 displayed)
SUZUKI GSXR 1000 L0
1.0L · Petrol · White
- First Used
- Jul 2010
- MOT Expiry
- 27 Jun 2027
- Tax Status
- —
- Color
- White
RENAULT KADJAR
1.5L · Diesel · Black
- First Used
- Mar 2020
- MOT Expiry
- 16 Aug 2027
- Tax Status
- —
- Color
- Black
VAUXHALL CORSA
1.4L · Petrol · Silver
- First Used
- Nov 2014
- MOT Expiry
- 12 Dec 2026
- Tax Status
- —
- Color
- Silver
BMW 120
2.0L · Diesel · White
- First Used
- Feb 2012
- MOT Expiry
- 02 Feb 2027
- Tax Status
- —
- Color
- White
NISSAN JUKE
1.5L · Diesel · White
- First Used
- Oct 2013
- MOT Expiry
- 26 Jan 2027
- Tax Status
- —
- Color
- White
PORSCHE BOXSTER
3.2L · Petrol · Blue
- First Used
- Nov 2002
- MOT Expiry
- 21 Feb 2027
- Tax Status
- —
- Color
- Blue
HONDA CIVIC
2.0L · Petrol · Red
- First Used
- Jan 2016
- MOT Expiry
- 24 Mar 2027
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for FK52T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about FK52T Plates
Where was the FK52T number plate series registered?
Vehicles starting with FK52T were assigned to the Nottingham covering Nottingham, East Midlands. The first two letters (FK) identify the memory tag assigned by the DVLA.
What registration period is FK52T?
The FK52T age identifier corresponds to vehicles first registered between September 2002 to February 2003.
How can I check the MOT history of a FK52T 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.