Where was the TN16S number plate registered?

Vehicles with the TN16S prefix were first registered in the UK through official DVLA regional allocation tag TN.

What year was a TN16S registration plate released?

The TN16S series was issued during March 2016 to August 2016.

What is the MOT pass rate for TN16S vehicles?

Vehicles in the TN16S cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

TN16S Series Number Plates

UK vehicles during March 2016 to August 2016 with registration prefix TN16S.

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

Popular Makes

JAGUAR 50% (1)

VOLKSWAGEN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black2 vehicles

Active Plates in TN16S Series(2 of 2 displayed)

Filter by 6th Letter:

TN16SAM

MOT Expired

JAGUAR I-PACE R-DYNAMIC HSE BLACK

Electric · Black

First Used: Jan 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

TN16SHA

MOT Valid

VOLKSWAGEN SHARAN

2.0L · Diesel · Black

First Used: Jul 2017
MOT Expiry: 02 Jun 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for TN16S Makes

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

JAGUAR Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about TN16S Plates

Where was the TN16S number plate series registered?

Vehicles starting with TN16S were assigned to the DVLA regional office covering the UK. The first two letters (TN) identify the memory tag assigned by the DVLA.

What registration period is TN16S?

The TN16S age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a TN16S 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.