Where was the TP14K number plate registered?

Vehicles with the TP14K prefix were first registered in the UK through official DVLA regional allocation tag TP.

What year was a TP14K registration plate released?

The TP14K series was issued during March 2014 to August 2014.

What is the MOT pass rate for TP14K vehicles?

Vehicles in the TP14K cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TP14K Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix TP14K.

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

Popular Makes

LAND ROVER 50% (1)

SUZUKI 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Grey2 vehicles

Active Plates in TP14K Series(2 of 2 displayed)

Filter by 6th Letter:

TP14KAP

MOT Valid

SUZUKI JIMNY

1.3L · Petrol · Grey

First Used: May 2017
MOT Expiry: 26 May 2027
Tax Status: —
Color: Grey

Check History & Specs

TP14KEL

MOT Valid

LAND ROVER RANGE ROVER EVOQUE

2.0L · Diesel · Grey

First Used: Jan 2016
MOT Expiry: 28 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TP14K Makes

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

LAND ROVER Common Problems SUZUKI Common Problems

Frequently Asked Questions about TP14K Plates

Where was the TP14K number plate series registered?

Vehicles starting with TP14K were assigned to the DVLA regional office covering the UK. The first two letters (TP) identify the memory tag assigned by the DVLA.

What registration period is TP14K?

The TP14K age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a TP14K 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.