Where was the TF08O number plate registered?

Vehicles with the TF08O prefix were first registered in the UK through official DVLA regional allocation tag TF.

What year was a TF08O registration plate released?

The TF08O series was issued during March 2008 to August 2008.

What is the MOT pass rate for TF08O vehicles?

Vehicles in the TF08O cohort demonstrate an average historical MOT pass rate of 88.9% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TF08O Series Number Plates

UK vehicles during March 2008 to August 2008 with registration prefix TF08O.

Area Office: DVLA Region (TF)
Release Period: March 2008 to August 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 88.9%

Popular Makes

FORD 50% (1)

ISUZU 50% (1)

88.9%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Orange1 vehicles

Red1 vehicles

Active Plates in TF08O Series(2 of 2 displayed)

Filter by 6th Letter:

TF08OAK

MOT Valid

ISUZU D-MAX

2.5L · Diesel · Red

First Used: Sep 2016
MOT Expiry: 06 Sep 2027
Tax Status: —
Color: Red

Check History & Specs

TF08ORD

MOT Valid

FORD RANGER

3.2L · Diesel · Orange

First Used: Nov 2019
MOT Expiry: 20 Dec 2026
Tax Status: —
Color: Orange

Check History & Specs

Reliability & Common Problem Guides for TF08O Makes

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

FORD Common Problems ISUZU Common Problems

Frequently Asked Questions about TF08O Plates

Where was the TF08O number plate series registered?

Vehicles starting with TF08O were assigned to the DVLA regional office covering the UK. The first two letters (TF) identify the memory tag assigned by the DVLA.

What registration period is TF08O?

The TF08O age identifier corresponds to vehicles first registered between March 2008 to August 2008.

How can I check the MOT history of a TF08O 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.