Where was the TV13M number plate registered?

Vehicles with the TV13M prefix were first registered in the UK through official DVLA regional allocation tag TV.

What year was a TV13M registration plate released?

The TV13M series was issued during March 2013 to August 2013.

What is the MOT pass rate for TV13M vehicles?

Vehicles in the TV13M cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TV13M Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix TV13M.

Area Office: DVLA Region (TV)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

MITSUBISHI 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in TV13M Series(2 of 2 displayed)

Filter by 6th Letter:

TV13MAV

MOT Expired

FORD KUGA TITANIUM EDITION

Petrol · Red

First Used: Sep 2023
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

TV13MCD

MOT Valid

MITSUBISHI ASX

1.6L · Petrol · Grey

First Used: Jul 2017
MOT Expiry: 28 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TV13M Makes

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

FORD Common Problems MITSUBISHI Common Problems

Frequently Asked Questions about TV13M Plates

Where was the TV13M number plate series registered?

Vehicles starting with TV13M 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 TV13M?

The TV13M age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a TV13M 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.