Where was the JS68M number plate registered?

Vehicles with the JS68M prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS68M registration plate released?

The JS68M series was issued during September 2018 to February 2019.

What is the MOT pass rate for JS68M vehicles?

Vehicles in the JS68M cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JS68M Series Number Plates

UK vehicles during September 2018 to February 2019 with registration prefix JS68M.

Area Office: DVLA Region (JS)
Release Period: September 2018 to February 2019
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

AUDI 50% (1)

JEEP 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JS68M Series(2 of 2 displayed)

Filter by 6th Letter:

JS68MFC

MOT Valid

JEEP COMPASS

1.4L · Petrol · Blue

First Used: May 2019
MOT Expiry: 31 May 2027
Tax Status: —
Color: Blue

Check History & Specs

JS68MMS

MOT Valid

AUDI A5

2.0L · Petrol · Black

First Used: Feb 2019
MOT Expiry: 14 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JS68M Makes

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

AUDI Common Problems JEEP Common Problems

Frequently Asked Questions about JS68M Plates

Where was the JS68M number plate series registered?

Vehicles starting with JS68M were assigned to the DVLA regional office covering the UK. The first two letters (JS) identify the memory tag assigned by the DVLA.

What registration period is JS68M?

The JS68M age identifier corresponds to vehicles first registered between September 2018 to February 2019.

How can I check the MOT history of a JS68M 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.