Where was the GS16L number plate registered?

Vehicles with the GS16L prefix were first registered in Canterbury, Kent through official DVLA regional allocation tag GS.

What year was a GS16L registration plate released?

The GS16L series was issued during March 2016 to August 2016.

What is the MOT pass rate for GS16L vehicles?

Vehicles in the GS16L cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

GS16L Series Number Plates

UK vehicles registered in Canterbury, Kent during March 2016 to August 2016 with registration prefix GS16L.

Area Office: Canterbury (Canterbury, Kent)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

MERCEDES-BENZ 100% (2)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in GS16L Series(2 of 2 displayed)

Filter by 6th Letter:

GS16LMS

MOT Valid

MERCEDES-BENZ E

1.9L · Diesel · Blue

First Used: Nov 2016
MOT Expiry: 08 Dec 2026
Tax Status: —
Color: Blue

Check History & Specs

GS16LRS

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · White

First Used: Mar 2016
MOT Expiry: 10 Jun 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for GS16L Makes

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

MERCEDES-BENZ Common Problems

Frequently Asked Questions about GS16L Plates

Where was the GS16L number plate series registered?

Vehicles starting with GS16L were assigned to the Canterbury covering Canterbury, Kent. The first two letters (GS) identify the memory tag assigned by the DVLA.

What registration period is GS16L?

The GS16L age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a GS16L 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.