Where was the JJ74M number plate registered?

Vehicles with the JJ74M prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ74M registration plate released?

The JJ74M series was issued during September 2024 to February 2025.

What is the MOT pass rate for JJ74M vehicles?

MOT pass rates for JJ74M series vehicles are tracked across historical DVSA inspection records on IsItAGoodCar.

Batch Prefix Hub

JJ74M Series Number Plates

UK vehicles during September 2024 to February 2025 with registration prefix JJ74M.

Area Office: DVLA Region (JJ)
Release Period: September 2024 to February 2025
Tracked in Batch: 2 vehicles
MOT Pass Rate: Tracked

Popular Makes

FORD 50% (1)

MORGAN 50% (1)

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Average MOT Pass Rate

Based on 0 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in JJ74M Series(2 of 2 displayed)

Filter by 6th Letter:

JJ74MCK

MOT Expired

FORD RANGER WILDTRAK ECOBLUE 4X4 A

Diesel · Black

First Used: Sep 2024
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

JJ74MOG

MOT Expired

MORGAN UNKNOWN

Petrol · Red

First Used: Nov 2024
MOT Expiry: —
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JJ74M Makes

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

FORD Common Problems MORGAN Common Problems

Frequently Asked Questions about JJ74M Plates

Where was the JJ74M number plate series registered?

Vehicles starting with JJ74M 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 JJ74M?

The JJ74M age identifier corresponds to vehicles first registered between September 2024 to February 2025.

How can I check the MOT history of a JJ74M 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.