Where was the JG62F number plate registered?

Vehicles with the JG62F prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG62F registration plate released?

The JG62F series was issued during September 2012 to February 2013.

What is the MOT pass rate for JG62F vehicles?

Vehicles in the JG62F cohort demonstrate an average historical MOT pass rate of 100% based on 7 recorded DVSA inspections.

Batch Prefix Hub

JG62F Series Number Plates

UK vehicles during September 2012 to February 2013 with registration prefix JG62F.

Area Office: DVLA Region (JG)
Release Period: September 2012 to February 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

TOYOTA 100% (2)

100%

Average MOT Pass Rate

Based on 7 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JG62F Series(2 of 2 displayed)

Filter by 6th Letter:

JG62FAV

MOT Valid

TOYOTA C-HR

1.8L · Hybrid Electric (Clean) · Blue

First Used: Jun 2021
MOT Expiry: 21 May 2026
Tax Status: —
Color: Blue

Check History & Specs

JG62FLY

MOT Valid

TOYOTA HILUX

3.0L · Diesel · Black

First Used: Sep 2012
MOT Expiry: 17 Sep 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JG62F Makes

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

TOYOTA Common Problems

Frequently Asked Questions about JG62F Plates

Where was the JG62F number plate series registered?

Vehicles starting with JG62F were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG62F?

The JG62F age identifier corresponds to vehicles first registered between September 2012 to February 2013.

How can I check the MOT history of a JG62F 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.