Where was the TR67F number plate registered?

Vehicles with the TR67F prefix were first registered in the UK through official DVLA regional allocation tag TR.

What year was a TR67F registration plate released?

The TR67F series was issued during September 2017 to February 2018.

What is the MOT pass rate for TR67F vehicles?

Vehicles in the TR67F cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TR67F Series Number Plates

UK vehicles during September 2017 to February 2018 with registration prefix TR67F.

Area Office: DVLA Region (TR)
Release Period: September 2017 to February 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FORD 100% (2)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in TR67F Series(2 of 2 displayed)

Filter by 6th Letter:

TR67FER

MOT Valid

FORD TOURNEO

2.0L · Diesel · Silver

First Used: Nov 2017
MOT Expiry: 14 Oct 2026
Tax Status: —
Color: Silver

Check History & Specs

TR67FLY

MOT Valid

FORD TRANSIT CONNECT

1.5L · Diesel · White

First Used: Dec 2017
MOT Expiry: 08 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TR67F Makes

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

FORD Common Problems

Frequently Asked Questions about TR67F Plates

Where was the TR67F number plate series registered?

Vehicles starting with TR67F were assigned to the DVLA regional office covering the UK. The first two letters (TR) identify the memory tag assigned by the DVLA.

What registration period is TR67F?

The TR67F age identifier corresponds to vehicles first registered between September 2017 to February 2018.

How can I check the MOT history of a TR67F 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.