Where was the TV14S number plate registered?

Vehicles with the TV14S prefix were first registered in the UK through official DVLA regional allocation tag TV.

What year was a TV14S registration plate released?

The TV14S series was issued during March 2014 to August 2014.

What is the MOT pass rate for TV14S vehicles?

Vehicles in the TV14S cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TV14S Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix TV14S.

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

Popular Makes

DAF 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in TV14S Series(2 of 2 displayed)

Filter by 6th Letter:

TV14SAT

MOT Valid

VOLKSWAGEN TRANSPORTER

2.0L · Diesel · White

First Used: Apr 2014
MOT Expiry: 11 Aug 2027
Tax Status: —
Color: White

Check History & Specs

TV14SET

MOT Valid

DAF XF 460 FTG

12.9L · Diesel · White

First Used: Oct 2014
MOT Expiry: 29 Jun 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TV14S Makes

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

DAF Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TV14S Plates

Where was the TV14S number plate series registered?

Vehicles starting with TV14S were assigned to the DVLA regional office covering the UK. The first two letters (TV) identify the memory tag assigned by the DVLA.

What registration period is TV14S?

The TV14S age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a TV14S 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.