TA64A Series Number Plates
UK vehicles during September 2014 to February 2015 with registration prefix TA64A.
- Area Office
- DVLA Region (TA)
- Release Period
- September 2014 to February 2015
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 75%
Average MOT Pass Rate
Based on 24 historical tests
Common Colors
Active Plates in TA64A Series(7 of 7 displayed)
TOYOTA YARIS
1.5L · Hybrid Electric (Clean) · Grey
- First Used
- Jun 2019
- MOT Expiry
- 01 Jul 2027
- Tax Status
- Taxed
- Color
- Grey
MERCEDES-BENZ E
2.1L · Diesel · Black
- First Used
- Sep 2014
- MOT Expiry
- 08 Apr 2023
- Tax Status
- —
- Color
- Black
VAUXHALL MOKKA DESIGN TURBO
1.2L · Petrol · Blue
- First Used
- Oct 2022
- MOT Expiry
- 27 Mar 2027
- Tax Status
- Taxed
- Color
- Blue
MERCEDES-BENZ SPRINTER 314 PROGRESSIVE CDI
2.1L · Diesel · Green
- First Used
- Nov 2020
- MOT Expiry
- 09 May 2027
- Tax Status
- —
- Color
- Green
HONDA CIVIC
1.6L · Diesel · Silver
- First Used
- Jan 2015
- MOT Expiry
- 26 Oct 2026
- Tax Status
- —
- Color
- Silver
FORD PUMA ST-LINE MHEV
1.0L · Petrol · Silver
- First Used
- Sep 2021
- MOT Expiry
- 28 Sep 2027
- Tax Status
- Taxed
- Color
- Silver
AUDI A4
3.0L · Petrol · Red
- First Used
- Dec 2016
- MOT Expiry
- 14 Dec 2026
- Tax Status
- Taxed
- Color
- Red
Reliability & Common Problem Guides for TA64A Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about TA64A Plates
Where was the TA64A number plate series registered?
Vehicles starting with TA64A were assigned to the DVLA regional office covering the UK. The first two letters (TA) identify the memory tag assigned by the DVLA.
What registration period is TA64A?
The TA64A age identifier corresponds to vehicles first registered between September 2014 to February 2015.
How can I check the MOT history of a TA64A 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.