Where was the TE64K number plate registered?

Vehicles with the TE64K prefix were first registered in the UK through official DVLA regional allocation tag TE.

What year was a TE64K registration plate released?

The TE64K series was issued during September 2014 to February 2015.

What is the MOT pass rate for TE64K vehicles?

Vehicles in the TE64K cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TE64K Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix TE64K.

Area Office: DVLA Region (TE)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

SUZUKI 50% (1)

VAUXHALL 50% (1)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey2 vehicles

Active Plates in TE64K Series(2 of 2 displayed)

TE64KER

MOT Valid

VAUXHALL CORSA

1.2L · Petrol · Grey

First Used: Dec 2014
MOT Expiry: 28 Sep 2026
Tax Status: —
Color: Grey

Check History & Specs

TE64KES

MOT Expired

SUZUKI VITARA SZ5 BOOSTERJET MHEV

Hybrid Electric (Clean) · Grey

First Used: Oct 2023
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TE64K Makes

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

SUZUKI Common Problems VAUXHALL Common Problems

Frequently Asked Questions about TE64K Plates

Where was the TE64K number plate series registered?

Vehicles starting with TE64K were assigned to the DVLA regional office covering the UK. The first two letters (TE) identify the memory tag assigned by the DVLA.

What registration period is TE64K?

The TE64K age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a TE64K 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.