Where was the TY58S number plate registered?

Vehicles with the TY58S prefix were first registered in the UK through official DVLA regional allocation tag TY.

What year was a TY58S registration plate released?

The TY58S series was issued during September 2008 to February 2009.

What is the MOT pass rate for TY58S vehicles?

Vehicles in the TY58S cohort demonstrate an average historical MOT pass rate of 71.4% based on 7 recorded DVSA inspections.

Batch Prefix Hub

TY58S Series Number Plates

UK vehicles during September 2008 to February 2009 with registration prefix TY58S.

Area Office: DVLA Region (TY)
Release Period: September 2008 to February 2009
Tracked in Batch: 2 vehicles
MOT Pass Rate: 71.4%

Popular Makes

MERCEDES-BENZ 100% (2)

71.4%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

White2 vehicles

Active Plates in TY58S Series(2 of 2 displayed)

Filter by 6th Letter:

TY58SEN

MOT Expired

MERCEDES-BENZ SPRINTER

2.1L · Diesel · White

First Used: Sep 2011
MOT Expiry: 07 Aug 2023
Tax Status: —
Color: White

Check History & Specs

TY58SUM

MOT Valid

MERCEDES-BENZ E

2.1L · Diesel · White

First Used: Nov 2013
MOT Expiry: 21 Sep 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for TY58S Makes

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

MERCEDES-BENZ Common Problems

Frequently Asked Questions about TY58S Plates

Where was the TY58S number plate series registered?

Vehicles starting with TY58S were assigned to the DVLA regional office covering the UK. The first two letters (TY) identify the memory tag assigned by the DVLA.

What registration period is TY58S?

The TY58S age identifier corresponds to vehicles first registered between September 2008 to February 2009.

How can I check the MOT history of a TY58S 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.