Where was the OL16T number plate registered?

Vehicles with the OL16T prefix were first registered in Oxford, South East through official DVLA regional allocation tag OL.

What year was a OL16T registration plate released?

The OL16T series was issued during March 2016 to August 2016.

What is the MOT pass rate for OL16T vehicles?

Vehicles in the OL16T cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

OL16T Series Number Plates

UK vehicles registered in Oxford, South East during March 2016 to August 2016 with registration prefix OL16T.

Area Office: Oxford (Oxford, South East)
Release Period: March 2016 to August 2016
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

MERCEDES-BENZ 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in OL16T Series(2 of 2 displayed)

Filter by 6th Letter:

OL16TER

MOT Valid

MERCEDES-BENZ GLC

2.0L · Petrol · Blue

First Used: Oct 2018
MOT Expiry: 07 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

OL16THO

MOT Valid

MERCEDES-BENZ GLA

2.1L · Diesel · Grey

First Used: Mar 2017
MOT Expiry: 30 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for OL16T 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 OL16T Plates

Where was the OL16T number plate series registered?

Vehicles starting with OL16T were assigned to the Oxford covering Oxford, South East. The first two letters (OL) identify the memory tag assigned by the DVLA.

What registration period is OL16T?

The OL16T age identifier corresponds to vehicles first registered between March 2016 to August 2016.

How can I check the MOT history of a OL16T 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.