Where was the JS67D number plate registered?

Vehicles with the JS67D prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS67D registration plate released?

The JS67D series was issued during September 2017 to February 2018.

What is the MOT pass rate for JS67D vehicles?

Vehicles in the JS67D cohort demonstrate an average historical MOT pass rate of 100% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JS67D Series Number Plates

UK vehicles during September 2017 to February 2018 with registration prefix JS67D.

Area Office: DVLA Region (JS)
Release Period: September 2017 to February 2018
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FORD 50% (1)

VOLKSWAGEN 50% (1)

100%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JS67D Series(2 of 2 displayed)

JS67DAD

MOT Expired

VOLKSWAGEN ID4 MATCH PRO

Electric · Black

First Used: May 2025
MOT Expiry: —
Tax Status: —
Color: Black

Check History & Specs

JS67DAV

MOT Valid

FORD MONDEO

2.0L · Diesel · White

First Used: Nov 2017
MOT Expiry: 23 Oct 2026
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JS67D Makes

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

FORD Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about JS67D Plates

Where was the JS67D number plate series registered?

Vehicles starting with JS67D 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 JS67D?

The JS67D age identifier corresponds to vehicles first registered between September 2017 to February 2018.

How can I check the MOT history of a JS67D 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.