Where was the JU69E number plate registered?

Vehicles with the JU69E prefix were first registered in the UK through official DVLA regional allocation tag JU.

What year was a JU69E registration plate released?

The JU69E series was issued during September 2019 to February 2020.

What is the MOT pass rate for JU69E vehicles?

Vehicles in the JU69E cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JU69E Series Number Plates

UK vehicles during September 2019 to February 2020 with registration prefix JU69E.

Area Office: DVLA Region (JU)
Release Period: September 2019 to February 2020
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

AUDI 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

White2 vehicles

Active Plates in JU69E Series(2 of 2 displayed)

Filter by 6th Letter:

JU69EAM

MOT Valid

AUDI TT

2.0L · Petrol · White

First Used: Dec 2019
MOT Expiry: 29 Jan 2027
Tax Status: —
Color: White

Check History & Specs

JU69ESY

MOT Expired

FORD RANGER RAPTOR ECOBOOST 4X4 A

Petrol · White

First Used: Nov 2023
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JU69E Makes

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

AUDI Common Problems FORD Common Problems

Frequently Asked Questions about JU69E Plates

Where was the JU69E number plate series registered?

Vehicles starting with JU69E were assigned to the DVLA regional office covering the UK. The first two letters (JU) identify the memory tag assigned by the DVLA.

What registration period is JU69E?

The JU69E age identifier corresponds to vehicles first registered between September 2019 to February 2020.

How can I check the MOT history of a JU69E 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.