Where was the JE66T number plate registered?

Vehicles with the JE66T prefix were first registered in the UK through official DVLA regional allocation tag JE.

What year was a JE66T registration plate released?

The JE66T series was issued during September 2016 to February 2017.

What is the MOT pass rate for JE66T vehicles?

MOT pass rates for JE66T series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JE66T Series Number Plates

UK vehicles during September 2016 to February 2017 with registration prefix JE66T.

Area Office: DVLA Region (JE)
Release Period: September 2016 to February 2017
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

MERCEDES-BENZ 50% (1)

NISSAN 50% (1)

—

Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Grey2 vehicles

Active Plates in JE66T Series(2 of 2 displayed)

Filter by 6th Letter:

JE66TAY

MOT Expired

NISSAN JUKE TEKNA DIG-T S-A

Petrol · Grey

First Used: Feb 2025
MOT Expiry: —
Tax Status: —
Color: Grey

Check History & Specs

JE66TEE

MOT Valid

MERCEDES-BENZ E

1.9L · Diesel · Grey

First Used: Mar 2017
MOT Expiry: 05 Mar 2027
Tax Status: —
Color: Grey

Check History & Specs

Reliability & Common Problem Guides for JE66T Makes

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

MERCEDES-BENZ Common Problems NISSAN Common Problems

Frequently Asked Questions about JE66T Plates

Where was the JE66T number plate series registered?

Vehicles starting with JE66T were assigned to the DVLA regional office covering the UK. The first two letters (JE) identify the memory tag assigned by the DVLA.

What registration period is JE66T?

The JE66T age identifier corresponds to vehicles first registered between September 2016 to February 2017.

How can I check the MOT history of a JE66T 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.