Where was the TL65M number plate registered?

Vehicles with the TL65M prefix were first registered in the UK through official DVLA regional allocation tag TL.

What year was a TL65M registration plate released?

The TL65M series was issued during September 2015 to February 2016.

What is the MOT pass rate for TL65M vehicles?

Vehicles in the TL65M cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TL65M Series Number Plates

UK vehicles during September 2015 to February 2016 with registration prefix TL65M.

Area Office: DVLA Region (TL)
Release Period: September 2015 to February 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

RENAULT 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in TL65M Series(2 of 2 displayed)

Filter by 6th Letter:

TL65MCD

MOT Expired

FORD KUGA VIGNALE

Petrol · Red

First Used: Jun 2023
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

TL65MPL

MOT Valid

RENAULT MASTER

2.3L · Diesel · Blue

First Used: Oct 2015
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TL65M Makes

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

FORD Common Problems RENAULT Common Problems

Frequently Asked Questions about TL65M Plates

Where was the TL65M number plate series registered?

Vehicles starting with TL65M were assigned to the DVLA regional office covering the UK. The first two letters (TL) identify the memory tag assigned by the DVLA.

What registration period is TL65M?

The TL65M age identifier corresponds to vehicles first registered between September 2015 to February 2016.

How can I check the MOT history of a TL65M 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.