Where was the JG61F number plate registered?

Vehicles with the JG61F prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG61F registration plate released?

The JG61F series was issued during September 2011 to February 2012.

What is the MOT pass rate for JG61F vehicles?

Vehicles in the JG61F cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JG61F Series Number Plates

UK vehicles during September 2011 to February 2012 with registration prefix JG61F.

Area Office: DVLA Region (JG)
Release Period: September 2011 to February 2012
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

KIA 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JG61F Series(2 of 2 displayed)

Filter by 6th Letter:

JG61FEB

MOT Valid

KIA SORENTO

2.2L · Diesel · Blue

First Used: Mar 2014
MOT Expiry: 23 Oct 2026
Tax Status: —
Color: Blue

Check History & Specs

JG61FFF

MOT Valid

BMW 520

2.0L · Diesel · Black

First Used: Sep 2011
MOT Expiry: 07 Nov 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JG61F Makes

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

BMW Common Problems KIA Common Problems

Frequently Asked Questions about JG61F Plates

Where was the JG61F number plate series registered?

Vehicles starting with JG61F 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 JG61F?

The JG61F age identifier corresponds to vehicles first registered between September 2011 to February 2012.

How can I check the MOT history of a JG61F 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.