Where was the TE02K number plate registered?

Vehicles with the TE02K prefix were first registered in the UK through official DVLA regional allocation tag TE.

What year was a TE02K registration plate released?

The TE02K series was issued during March 2002 to August 2002.

What is the MOT pass rate for TE02K vehicles?

Vehicles in the TE02K cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TE02K Series Number Plates

UK vehicles during March 2002 to August 2002 with registration prefix TE02K.

Area Office: DVLA Region (TE)
Release Period: March 2002 to August 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MERCEDES-BENZ 50% (1)

NISSAN 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Grey1 vehicles

Red1 vehicles

Active Plates in TE02K Series(2 of 2 displayed)

TE02KEE

MOT Valid

MERCEDES-BENZ GLA

2.1L · Diesel · Red

First Used: Nov 2017
MOT Expiry: 20 Jul 2027
Tax Status: —
Color: Red

Check History & Specs

TE02KEZ

MOT Expired

NISSAN QASHQAI TEKNA DIG-T MHEV

Hybrid Electric (Clean) · Grey

First Used: Sep 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TE02K Makes

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

MERCEDES-BENZ Common Problems NISSAN Common Problems

Frequently Asked Questions about TE02K Plates

Where was the TE02K number plate series registered?

Vehicles starting with TE02K were assigned to the DVLA regional office covering the UK. The first two letters (TE) identify the memory tag assigned by the DVLA.

What registration period is TE02K?

The TE02K age identifier corresponds to vehicles first registered between March 2002 to August 2002.

How can I check the MOT history of a TE02K 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.