Where was the TE16D number plate registered?

Vehicles with the TE16D prefix were first registered in the UK through official DVLA regional allocation tag TE.

What year was a TE16D registration plate released?

The TE16D series was issued during March 2016 to August 2016.

What is the MOT pass rate for TE16D vehicles?

Vehicles in the TE16D cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TE16D Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TE16D.

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)

SKODA 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in TE16D Series(2 of 2 displayed)

Filter by 6th Letter:

TE16DAV

MOT Valid

SKODA FABIA

1.2L · Petrol · Black

First Used: Sep 2016
MOT Expiry: 30 Jun 2027
Tax Status: —
Color: Black

Check History & Specs

TE16DDE

TaxedMOT Valid

AUDI A4

1.4L · Petrol · Grey

First Used: Jun 2018
MOT Expiry: 17 Jun 2027
Tax Status: Taxed
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for TE16D Makes

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

AUDI Common Problems SKODA Common Problems

Frequently Asked Questions about TE16D Plates

Where was the TE16D number plate series registered?

Vehicles starting with TE16D 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 TE16D?

The TE16D age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TE16D 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.