Where was the JN62E number plate registered?

Vehicles with the JN62E prefix were first registered in the UK through official DVLA regional allocation tag JN.

What year was a JN62E registration plate released?

The JN62E series was issued during September 2012 to February 2013.

What is the MOT pass rate for JN62E vehicles?

Vehicles in the JN62E cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JN62E Series Number Plates

UK vehicles during September 2012 to February 2013 with registration prefix JN62E.

Area Office: DVLA Region (JN)
Release Period: September 2012 to February 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

JN62E Cohort Statistics

Popular Makes

FORD 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JN62E Series(2 of 2 displayed)

Filter by 6th Letter:

JN62EAN

MOT Valid

FORD TRANSIT

2.2L · Diesel · Blue

First Used: Dec 2012
MOT Expiry: 25 Nov 2026
Tax Status: —
Color: Blue

Check History & Specs

JN62EEN

MOT Valid

FORD TRANSIT

2.2L · Diesel · White

First Used: Jun 2016
MOT Expiry: 07 Jan 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JN62E Makes

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

FORD Common Problems

Frequently Asked Questions about JN62E Plates

Where was the JN62E number plate series registered?

Vehicles starting with JN62E were assigned to the DVLA regional office covering the UK. The first two letters (JN) identify the memory tag assigned by the DVLA.

What registration period is JN62E?

The JN62E age identifier corresponds to vehicles first registered between September 2012 to February 2013.

How can I check the MOT history of a JN62E 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.