Where was the TK19L number plate registered?

Vehicles with the TK19L prefix were first registered in the UK through official DVLA regional allocation tag TK.

What year was a TK19L registration plate released?

The TK19L series was issued during March 2019 to August 2019.

What is the MOT pass rate for TK19L vehicles?

Vehicles in the TK19L cohort demonstrate an average historical MOT pass rate of 100% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TK19L Series Number Plates

UK vehicles during March 2019 to August 2019 with registration prefix TK19L.

Area Office: DVLA Region (TK)
Release Period: March 2019 to August 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

White2 vehicles

Active Plates in TK19L Series(2 of 2 displayed)

Filter by 6th Letter:

TK19LJK

MOT Valid

MERCEDES-BENZ E

1.9L · Diesel · White

First Used: Nov 2019
MOT Expiry: 20 May 2027
Tax Status: —
Color: White

Check History & Specs

TK19LUV

MOT Valid

AUDI A3

1.5L · Petrol · White

First Used: Jun 2019
MOT Expiry: 04 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TK19L Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about TK19L Plates

Where was the TK19L number plate series registered?

Vehicles starting with TK19L 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 TK19L?

The TK19L age identifier corresponds to vehicles first registered between March 2019 to August 2019.

How can I check the MOT history of a TK19L 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.