Where was the JS64E number plate registered?

Vehicles with the JS64E prefix were first registered in the UK through official DVLA regional allocation tag JS.

What year was a JS64E registration plate released?

The JS64E series was issued during September 2014 to February 2015.

What is the MOT pass rate for JS64E vehicles?

Vehicles in the JS64E cohort demonstrate an average historical MOT pass rate of 100% based on 8 recorded DVSA inspections.

Batch Prefix Hub

JS64E Series Number Plates

UK vehicles during September 2014 to February 2015 with registration prefix JS64E.

Area Office: DVLA Region (JS)
Release Period: September 2014 to February 2015
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FIAT 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Silver1 vehicles

White1 vehicles

Active Plates in JS64E Series(2 of 2 displayed)

Filter by 6th Letter:

JS64EMS

MOT Valid

MERCEDES-BENZ C

2.0L · Petrol · Silver

First Used: Jun 2015
MOT Expiry: 27 Nov 2026
Tax Status: —
Color: Silver

Check History & Specs

JS64ENS

MOT Valid

FIAT ROLLER TEAM

2.3L · Diesel · White

First Used: May 2021
MOT Expiry: 13 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JS64E Makes

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

FIAT Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JS64E Plates

Where was the JS64E number plate series registered?

Vehicles starting with JS64E 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 JS64E?

The JS64E age identifier corresponds to vehicles first registered between September 2014 to February 2015.

How can I check the MOT history of a JS64E 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.