Where was the TE16J number plate registered?

Vehicles with the TE16J prefix were first registered in the UK through official DVLA regional allocation tag TE.

What year was a TE16J registration plate released?

The TE16J series was issued during March 2016 to August 2016.

What is the MOT pass rate for TE16J vehicles?

Vehicles in the TE16J cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TE16J Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TE16J.

Area Office: DVLA Region (TE)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in TE16J Series(2 of 2 displayed)

Filter by 6th Letter:

TE16JAN

MOT Valid

VOLKSWAGEN CC

2.0L · Diesel · White

First Used: May 2016
MOT Expiry: 11 Mar 2027
Tax Status: —
Color: White

Check History & Specs

TE16JDE

MOT Valid

AUDI A1

1.4L · Petrol · Blue

First Used: Oct 2016
MOT Expiry: 15 Sep 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for TE16J Makes

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

AUDI Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TE16J Plates

Where was the TE16J number plate series registered?

Vehicles starting with TE16J 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 TE16J?

The TE16J age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TE16J 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.