TK08T Series Number Plates
UK vehicles during March 2008 to August 2008 with registration prefix TK08T.
- Area Office
- DVLA Region (TK)
- Release Period
- March 2008 to August 2008
- Tracked in Batch
- 8 vehicles
- MOT Pass Rate
- 87.9%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in TK08T Series(8 of 8 displayed)
AUDI TT
2.0L · Petrol · Grey
- First Used
- Mar 2008
- MOT Expiry
- 25 Jul 2027
- Tax Status
- —
- Color
- Grey
BMW X3
2.0L · Diesel · Black
- First Used
- Jun 2011
- MOT Expiry
- 04 Feb 2027
- Tax Status
- —
- Color
- Black
CHRYSLER SEBRING
2.0L · Diesel · Red
- First Used
- May 2008
- MOT Expiry
- 04 Sep 2027
- Tax Status
- —
- Color
- Red
TOYOTA AYGO
1.0L · Petrol · Blue
- First Used
- Oct 2019
- MOT Expiry
- 14 Jun 2027
- Tax Status
- —
- Color
- Blue
FORD FIESTA
1.0L · Petrol · Red
- First Used
- Jul 2015
- MOT Expiry
- 18 Mar 2027
- Tax Status
- —
- Color
- Red
NISSAN JUKE
1.6L · Petrol · Grey
- First Used
- Apr 2011
- MOT Expiry
- 22 Jun 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN POLO
1.0L · Petrol · Brown
- First Used
- Jun 2015
- MOT Expiry
- 21 May 2027
- Tax Status
- —
- Color
- Brown
PIAGGIO APE
0.4L · Diesel · White
- First Used
- Apr 2012
- MOT Expiry
- 04 Jul 2027
- Tax Status
- —
- Color
- White
Reliability & Common Problem Guides for TK08T Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about TK08T Plates
Where was the TK08T number plate series registered?
Vehicles starting with TK08T were assigned to the DVLA regional office covering the UK. The first two letters (TK) identify the memory tag assigned by the DVLA.
What registration period is TK08T?
The TK08T age identifier corresponds to vehicles first registered between March 2008 to August 2008.
How can I check the MOT history of a TK08T 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.