Where was the TV10O number plate registered?

Vehicles with the TV10O prefix were first registered in the UK through official DVLA regional allocation tag TV.

What year was a TV10O registration plate released?

The TV10O series was issued during March 2010 to August 2010.

What is the MOT pass rate for TV10O vehicles?

Vehicles in the TV10O cohort demonstrate an average historical MOT pass rate of 60% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TV10O Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TV10O.

Area Office: DVLA Region (TV)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 60%

Popular Makes

PEUGEOT 50% (1)

SEAT 50% (1)

60%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in TV10O Series(2 of 2 displayed)

Filter by 6th Letter:

TV10ONE

MOT Expired

PEUGEOT BOXER

2.2L · Diesel · Black

First Used: Jun 2015
MOT Expiry: 23 Jun 2026
Tax Status: —
Color: Black

Check History & Specs

TV10ORE

MOT Valid

SEAT LEON

1.6L · Diesel · Silver

First Used: Jun 2013
MOT Expiry: 12 May 2027
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TV10O Makes

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

PEUGEOT Common Problems SEAT Common Problems

Frequently Asked Questions about TV10O Plates

Where was the TV10O number plate series registered?

Vehicles starting with TV10O 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 TV10O?

The TV10O age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TV10O 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.