Where was the JJ76J number plate registered?

Vehicles with the JJ76J prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ76J registration plate released?

The JJ76J series was issued during September 2026 to February 2027.

What is the MOT pass rate for JJ76J vehicles?

MOT pass rates for JJ76J series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ76J Series Number Plates

UK vehicles during September 2026 to February 2027 with registration prefix JJ76J.

Area Office: DVLA Region (JJ)
Release Period: September 2026 to February 2027
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

BMW 50% (1)

VOLKSWAGEN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JJ76J Series(2 of 2 displayed)

Filter by 6th Letter:

JJ76JJJ

MOT Expired

BMW 420I M SPORT PRO AUTO

Petrol · Grey

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

Check History & Specs

JJ76JLJ

MOT Expired

VOLKSWAGEN GOLF MATCH TSI

Petrol · White

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

Check History & Specs

Reliability & Common Problem Guides for JJ76J Makes

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

BMW Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JJ76J Plates

Where was the JJ76J number plate series registered?

Vehicles starting with JJ76J 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 JJ76J?

The JJ76J age identifier corresponds to vehicles first registered between September 2026 to February 2027.

How can I check the MOT history of a JJ76J 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.