Where was the TU16C number plate registered?

Vehicles with the TU16C prefix were first registered in the UK through official DVLA regional allocation tag TU.

What year was a TU16C registration plate released?

The TU16C series was issued during March 2016 to August 2016.

What is the MOT pass rate for TU16C vehicles?

Vehicles in the TU16C cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TU16C Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TU16C.

Area Office: DVLA Region (TU)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

TU16C Cohort Statistics

Popular Makes

FORD 50% (1)

VAUXHALL 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Red1 vehicles

Silver1 vehicles

Active Plates in TU16C Series(2 of 2 displayed)

TU16CKS

MOT Valid

VAUXHALL CASCADA

2.0L · Diesel · Silver

First Used: Sep 2016
MOT Expiry: 01 Sep 2027
Tax Status: —
Color: Silver

Check History & Specs

TU16CKU

MOT Valid

FORD FIESTA

1.6L · Petrol · Red

First Used: Mar 2016
MOT Expiry: 30 Oct 2026
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for TU16C Makes

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

FORD Common Problems VAUXHALL Common Problems

Frequently Asked Questions about TU16C Plates

Where was the TU16C number plate series registered?

Vehicles starting with TU16C 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 TU16C?

The TU16C age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TU16C 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.