Where was the TF14H number plate registered?

Vehicles with the TF14H prefix were first registered in the UK through official DVLA regional allocation tag TF.

What year was a TF14H registration plate released?

The TF14H series was issued during March 2014 to August 2014.

What is the MOT pass rate for TF14H vehicles?

Vehicles in the TF14H cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TF14H Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix TF14H.

Area Office: DVLA Region (TF)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

LEXUS 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Red1 vehicles

WHITE1 vehicles

Active Plates in TF14H Series(2 of 2 displayed)

Filter by 6th Letter:

TF14HAD

TaxedMOT Valid

BMW 118

1.6L · PETROL · WHITE

First Used: Dec 2014
MOT Expiry: 03 Apr 2027
Tax Status: Taxed
Color: WHITE

Check History & Specs

TF14HER

MOT Expired

LEXUS LBX PREMIUM + CVT

Hybrid Electric (Clean) · Red

First Used: Mar 2026
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for TF14H Makes

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

BMW Common Problems LEXUS Common Problems

Frequently Asked Questions about TF14H Plates

Where was the TF14H number plate series registered?

Vehicles starting with TF14H 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 TF14H?

The TF14H age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a TF14H 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.