Where was the JR18G number plate registered?

Vehicles with the JR18G prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR18G registration plate released?

The JR18G series was issued during March 2018 to August 2018.

What is the MOT pass rate for JR18G vehicles?

Vehicles in the JR18G cohort demonstrate an average historical MOT pass rate of 70% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JR18G Series Number Plates

UK vehicles during March 2018 to August 2018 with registration prefix JR18G.

Area Office: DVLA Region (JR)
Release Period: March 2018 to August 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 70%

Popular Makes

FORD 50% (1)

NISSAN 50% (1)

70%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JR18G Series(2 of 2 displayed)

Filter by 6th Letter:

JR18GAS

MOT Expired

FORD RANGER

3.2L · Diesel · Black

First Used: Apr 2018
MOT Expiry: 20 Aug 2026
Tax Status: —
Color: Black

Check History & Specs

JR18GUY

MOT Valid

NISSAN QASHQAI

1.3L · Petrol · Blue

First Used: Nov 2019
MOT Expiry: 29 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JR18G Makes

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

FORD Common Problems NISSAN Common Problems

Frequently Asked Questions about JR18G Plates

Where was the JR18G number plate series registered?

Vehicles starting with JR18G were assigned to the DVLA regional office covering the UK. The first two letters (JR) identify the memory tag assigned by the DVLA.

What registration period is JR18G?

The JR18G age identifier corresponds to vehicles first registered between March 2018 to August 2018.

How can I check the MOT history of a JR18G 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.