Where was the TS07W number plate registered?

Vehicles with the TS07W prefix were first registered in the UK through official DVLA regional allocation tag TS.

What year was a TS07W registration plate released?

The TS07W series was issued during March 2007 to August 2007.

What is the MOT pass rate for TS07W vehicles?

Vehicles in the TS07W cohort demonstrate an average historical MOT pass rate of 100% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TS07W Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix TS07W.

Area Office: DVLA Region (TS)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

KIA 50% (1)

SUZUKI 50% (1)

100%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in TS07W Series(2 of 2 displayed)

Filter by 6th Letter:

TS07WLS

MOT Valid

KIA RIO

1.2L · Petrol · Silver

First Used: Mar 2016
MOT Expiry: 23 Mar 2027
Tax Status: —
Color: Silver

Check History & Specs

TS07WMS

MOT Valid

SUZUKI SX4

1.0L · Petrol · White

First Used: Oct 2018
MOT Expiry: 20 Jul 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TS07W Makes

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

KIA Common Problems SUZUKI Common Problems

Frequently Asked Questions about TS07W Plates

Where was the TS07W number plate series registered?

Vehicles starting with TS07W 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 TS07W?

The TS07W age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a TS07W 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.