Where was the JL14G number plate registered?

Vehicles with the JL14G prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL14G registration plate released?

The JL14G series was issued during March 2014 to August 2014.

What is the MOT pass rate for JL14G vehicles?

Vehicles in the JL14G cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JL14G Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix JL14G.

Area Office: DVLA Region (JL)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

PORSCHE 50% (1)

VOLVO 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

Red1 vehicles

Active Plates in JL14G Series(2 of 2 displayed)

Filter by 6th Letter:

JL14GJL

MOT Valid

VOLVO XC40

1.5L · Petrol · Blue

First Used: Oct 2020
MOT Expiry: 09 Aug 2027
Tax Status: —
Color: Blue

Check History & Specs

JL14GLL

MOT Valid

PORSCHE TAYCAN TURBO S SPORT TURISMO

Electric · Red

First Used: Apr 2023
MOT Expiry: 20 Apr 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JL14G Makes

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

PORSCHE Common Problems VOLVO Common Problems

Frequently Asked Questions about JL14G Plates

Where was the JL14G number plate series registered?

Vehicles starting with JL14G were assigned to the DVLA regional office covering the UK. The first two letters (JL) identify the memory tag assigned by the DVLA.

What registration period is JL14G?

The JL14G age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a JL14G 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.