Where was the TU16B number plate registered?

Vehicles with the TU16B prefix were first registered in the UK through official DVLA regional allocation tag TU.

What year was a TU16B registration plate released?

The TU16B series was issued during March 2016 to August 2016.

What is the MOT pass rate for TU16B vehicles?

Vehicles in the TU16B cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

TU16B Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TU16B.

Area Office: DVLA Region (TU)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

BMW 50% (1)

PORSCHE 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Silver1 vehicles

Active Plates in TU16B Series(2 of 2 displayed)

Filter by 6th Letter:

TU16BAM

MOT Expired

BMW 320

2.0L · Diesel · Black

First Used: Jun 2018
MOT Expiry: 11 Apr 2026
Tax Status: —
Color: Black

Check History & Specs

TU16BOS

MOT Valid

PORSCHE 911

3.8L · Petrol · Silver

First Used: Jul 2016
MOT Expiry: 24 Nov 2026
Tax Status: —
Color: Silver

Check History & Specs

Reliability & Common Problem Guides for TU16B Makes

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

BMW Common Problems PORSCHE Common Problems

Frequently Asked Questions about TU16B Plates

Where was the TU16B number plate series registered?

Vehicles starting with TU16B were assigned to the DVLA regional office covering the UK. The first two letters (TU) identify the memory tag assigned by the DVLA.

What registration period is TU16B?

The TU16B age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TU16B 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.