Where was the TS09V number plate registered?

Vehicles with the TS09V prefix were first registered in the UK through official DVLA regional allocation tag TS.

What year was a TS09V registration plate released?

The TS09V series was issued during March 2009 to August 2009.

What is the MOT pass rate for TS09V vehicles?

Vehicles in the TS09V cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TS09V Series Number Plates

UK vehicles during March 2009 to August 2009 with registration prefix TS09V.

Area Office: DVLA Region (TS)
Release Period: March 2009 to August 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

HONDA 50% (1)

SKODA 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TS09V Series(2 of 2 displayed)

Filter by 6th Letter:

TS09VJS

MOT Valid

HONDA CR-V

2.0L · Petrol · White

First Used: Dec 2012
MOT Expiry: 01 Jan 2027
Tax Status: —
Color: White

Check History & Specs

TS09VRS

MOT Valid

SKODA OCTAVIA

2.0L · Diesel · Blue

First Used: Mar 2009
MOT Expiry: 04 Mar 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TS09V Makes

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

HONDA Common Problems SKODA Common Problems

Frequently Asked Questions about TS09V Plates

Where was the TS09V number plate series registered?

Vehicles starting with TS09V were assigned to the DVLA regional office covering the UK. The first two letters (TS) identify the memory tag assigned by the DVLA.

What registration period is TS09V?

The TS09V age identifier corresponds to vehicles first registered between March 2009 to August 2009.

How can I check the MOT history of a TS09V 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.