Where was the TT65K number plate registered?

Vehicles with the TT65K prefix were first registered in the UK through official DVLA regional allocation tag TT.

What year was a TT65K registration plate released?

The TT65K series was issued during September 2015 to February 2016.

What is the MOT pass rate for TT65K vehicles?

Vehicles in the TT65K cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TT65K Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix TT65K.

Area Office: DVLA Region (TT)
Release Period: September 2015 to February 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

AUDI 50% (1)

BMW 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in TT65K Series(2 of 2 displayed)

Filter by 6th Letter:

TT65KAY

MOT Valid

AUDI TT

2.0L · Petrol · Red

First Used: Sep 2015
MOT Expiry: 03 Sep 2026
Tax Status: —
Color: Red

Check History & Specs

TT65KEN

MOT Valid

BMW R 1200

1.2L · Petrol · Blue

First Used: May 2016
MOT Expiry: 26 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TT65K Makes

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

AUDI Common Problems BMW Common Problems

Frequently Asked Questions about TT65K Plates

Where was the TT65K number plate series registered?

Vehicles starting with TT65K were assigned to the DVLA regional office covering the UK. The first two letters (TT) identify the memory tag assigned by the DVLA.

What registration period is TT65K?

The TT65K age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a TT65K 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.