Where was the JJ18H number plate registered?

Vehicles with the JJ18H prefix were first registered in the UK through official DVLA regional allocation tag JJ.

What year was a JJ18H registration plate released?

The JJ18H series was issued during March 2018 to August 2018.

What is the MOT pass rate for JJ18H vehicles?

Vehicles in the JJ18H cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JJ18H Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JJ18H.

Area Office: DVLA Region (JJ)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

JJ18H Cohort Statistics

Popular Makes

BMW 50% (1)

CUPRA 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Grey1 vehicles

White1 vehicles

Active Plates in JJ18H Series(2 of 2 displayed)

Filter by 6th Letter:

JJ18HAM

MOT Valid

BMW 118

1.5L · Petrol · Grey

First Used: Mar 2021
MOT Expiry: 30 Jun 2026
Tax Status: —
Color: Grey

Check History & Specs

JJ18HEN

MOT Expired

CUPRA LEON V1 TSI

Petrol · White

First Used: Jun 2024
MOT Expiry: —
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JJ18H Makes

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

BMW Common Problems CUPRA Common Problems

Frequently Asked Questions about JJ18H Plates

Where was the JJ18H number plate series registered?

Vehicles starting with JJ18H 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 JJ18H?

The JJ18H age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JJ18H 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.