Where was the JL57H number plate registered?

Vehicles with the JL57H prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL57H registration plate released?

The JL57H series was issued during September 2007 to February 2008.

What is the MOT pass rate for JL57H vehicles?

Vehicles in the JL57H cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JL57H Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix JL57H.

Area Office: DVLA Region (JL)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

RENAULT 50% (1)

SUZUKI 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black2 vehicles

Active Plates in JL57H Series(2 of 2 displayed)

Filter by 6th Letter:

JL57HAR

MOT Valid

SUZUKI SWIFT

1.2L · Petrol · Black

First Used: Oct 2019
MOT Expiry: 29 Oct 2026
Tax Status: —
Color: Black

Check History & Specs

JL57HEN

MOT Valid

RENAULT CLIO

1.6L · Petrol · Black

First Used: Sep 2017
MOT Expiry: 16 Feb 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JL57H Makes

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

RENAULT Common Problems SUZUKI Common Problems

Frequently Asked Questions about JL57H Plates

Where was the JL57H number plate series registered?

Vehicles starting with JL57H 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 JL57H?

The JL57H age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a JL57H 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.