Where was the TM10Y number plate registered?

Vehicles with the TM10Y prefix were first registered in the UK through official DVLA regional allocation tag TM.

What year was a TM10Y registration plate released?

The TM10Y series was issued during March 2010 to August 2010.

What is the MOT pass rate for TM10Y vehicles?

Vehicles in the TM10Y cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

TM10Y Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix TM10Y.

Area Office: DVLA Region (TM)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

NISSAN 50% (1)

PEUGEOT 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in TM10Y Series(2 of 2 displayed)

Filter by 6th Letter:

TM10YDD

MOT Valid

PEUGEOT 208

1.6L · Diesel · Silver

First Used: May 2016
MOT Expiry: 19 May 2026
Tax Status: —
Color: Silver

Check History & Specs

TM10YYY

MOT Valid

NISSAN QASHQAI

1.2L · Petrol · Red

First Used: Mar 2015
MOT Expiry: 16 Jan 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for TM10Y Makes

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

NISSAN Common Problems PEUGEOT Common Problems

Frequently Asked Questions about TM10Y Plates

Where was the TM10Y number plate series registered?

Vehicles starting with TM10Y were assigned to the DVLA regional office covering the UK. The first two letters (TM) identify the memory tag assigned by the DVLA.

What registration period is TM10Y?

The TM10Y age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a TM10Y 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.