Where was the TU64A number plate registered?

Vehicles with the TU64A prefix were first registered in the UK through official DVLA regional allocation tag TU.

What year was a TU64A registration plate released?

The TU64A series was issued during September 2014 to February 2015.

What is the MOT pass rate for TU64A vehicles?

Vehicles in the TU64A cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

TU64A Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix TU64A.

Area Office: DVLA Region (TU)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

FIAT 50% (1)

SEAT 50% (1)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in TU64A Series(2 of 2 displayed)

Filter by 6th Letter:

TU64AAA

MOT Valid

SEAT LEON

1.4L · Petrol · Red

First Used: Sep 2017
MOT Expiry: 17 Oct 2026
Tax Status: —
Color: Red

Check History & Specs

TU64ASH

MOT Valid

FIAT 500

1.2L · Petrol · Blue

First Used: Dec 2014
MOT Expiry: 28 Apr 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TU64A Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

FIAT Common Problems SEAT Common Problems

Frequently Asked Questions about TU64A Plates

Where was the TU64A number plate series registered?

Vehicles starting with TU64A were assigned to the DVLA regional office covering the UK. The first two letters (TU) identify the memory tag assigned by the DVLA.

What registration period is TU64A?

The TU64A age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a TU64A 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.