Where was the JJ26E number plate registered?

Vehicles with the JJ26E prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ26E registration plate released?

The JJ26E series was issued during March 2026 to August 2026.

What is the MOT pass rate for JJ26E vehicles?

MOT pass rates for JJ26E series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ26E Series Number Plates

UK vehicles during March 2026 to August 2026 with registration prefix JJ26E.

Area Office: DVLA Region (JJ)
Release Period: March 2026 to August 2026
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

OMODA 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JJ26E Series(2 of 2 displayed)

Filter by 6th Letter:

JJ26EAN

MOT Expired

OMODA 5 KNIGHT HEV AUTO

Hybrid Electric (Clean) · White

First Used: Sep 2026
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

JJ26ESS

MOT Expired

VOLKSWAGEN POLO MATCH TSI

Petrol · Black

First Used: Sep 2026
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JJ26E Makes

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

OMODA Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ26E Plates

Where was the JJ26E number plate series registered?

Vehicles starting with JJ26E were assigned to the DVLA regional office covering the UK. The first two letters (JJ) identify the memory tag assigned by the DVLA.

What registration period is JJ26E?

The JJ26E age identifier corresponds to vehicles first registered between March 2026 to August 2026.

How can I check the MOT history of a JJ26E 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.