Where was the TK69T number plate registered?

Vehicles with the TK69T prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK69T registration plate released?

The TK69T series was issued during September 2019 to February 2020.

What is the MOT pass rate for TK69T vehicles?

Vehicles in the TK69T cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TK69T Series Number Plates

UK vehicles during September 2019 to February 2020 with registration prefix TK69T.

Area Office: DVLA Region (TK)
Release Period: September 2019 to February 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FORD 50% (1)

MINI 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Silver2 vehicles

Active Plates in TK69T Series(2 of 2 displayed)

Filter by 6th Letter:

TK69TCK

MOT Valid

FORD FIESTA

1.0L · Petrol · Silver

First Used: Sep 2019
MOT Expiry: 09 Sep 2027
Tax Status: —
Color: Silver

Check History & Specs

TK69TLK

MOT Valid

MINI COOPER S

2.0L · Petrol · Silver

First Used: Nov 2019
MOT Expiry: 25 Jul 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TK69T Makes

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

FORD Common Problems MINI Common Problems

Frequently Asked Questions about TK69T Plates

Where was the TK69T number plate series registered?

Vehicles starting with TK69T 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 TK69T?

The TK69T age identifier corresponds to vehicles first registered between September 2019 to February 2020.

How can I check the MOT history of a TK69T 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.