Where was the TS03V number plate registered?

Vehicles with the TS03V prefix were first registered in the UK through official DVLA regional allocation tag TS.

What year was a TS03V registration plate released?

The TS03V series was issued during March 2003 to August 2003.

What is the MOT pass rate for TS03V vehicles?

Vehicles in the TS03V cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

TS03V Series Number Plates

UK vehicles during March 2003 to August 2003 with registration prefix TS03V.

Area Office: DVLA Region (TS)
Release Period: March 2003 to August 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

PEUGEOT 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Blue1 vehicles

GREY1 vehicles

Active Plates in TS03V Series(2 of 2 displayed)

Filter by 6th Letter:

TS03VAL

MOT Valid

PEUGEOT 3008

1.6L · Diesel · Blue

First Used: May 2014
MOT Expiry: 08 Jul 2027
Tax Status: —
Color: Blue

Check History & Specs

TS03VVV

MOT Valid

FORD KUGA ST-LINE TDCI

1.5L · Diesel · GREY

First Used: Aug 2017
MOT Expiry: 17 Apr 2027
Tax Status: —
Color: GREY

Check History & Specs

Reliability & Common Problem Guides for TS03V Makes

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

FORD Common Problems PEUGEOT Common Problems

Frequently Asked Questions about TS03V Plates

Where was the TS03V number plate series registered?

Vehicles starting with TS03V 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 TS03V?

The TS03V age identifier corresponds to vehicles first registered between March 2003 to August 2003.

How can I check the MOT history of a TS03V 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.