Where was the JR68H number plate registered?

Vehicles with the JR68H prefix were first registered in the UK through official DVLA regional allocation tag JR.

What year was a JR68H registration plate released?

The JR68H series was issued during September 2018 to February 2019.

What is the MOT pass rate for JR68H vehicles?

Vehicles in the JR68H cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JR68H Series Number Plates

UK vehicles during September 2018 to February 2019 with registration prefix JR68H.

Area Office: DVLA Region (JR)
Release Period: September 2018 to February 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

JAGUAR 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Black1 vehicles

Grey1 vehicles

Active Plates in JR68H Series(2 of 2 displayed)

JR68HAM

MOT Expired

FORD RANGER TREMOR ECOBLUE 4X4 AUTO

Diesel · Grey

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

Check History & Specs

JR68HAR

MOT Valid

JAGUAR I-PACE

Electric · Black

First Used: Feb 2019
MOT Expiry: 13 Jul 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JR68H Makes

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

FORD Common Problems JAGUAR Common Problems

Frequently Asked Questions about JR68H Plates

Where was the JR68H number plate series registered?

Vehicles starting with JR68H 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 JR68H?

The JR68H age identifier corresponds to vehicles first registered between September 2018 to February 2019.

How can I check the MOT history of a JR68H 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.