Where was the JL57P number plate registered?

Vehicles with the JL57P prefix were first registered in the UK through official DVLA regional allocation tag JL.

What year was a JL57P registration plate released?

The JL57P series was issued during September 2007 to February 2008.

What is the MOT pass rate for JL57P vehicles?

Vehicles in the JL57P cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JL57P Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix JL57P.

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

Popular Makes

DS 50% (1)

NISSAN 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

Yellow1 vehicles

Active Plates in JL57P Series(2 of 2 displayed)

Filter by 6th Letter:

JL57PAV

MOT Valid

DS DS3

1.2L · Petrol · Yellow

First Used: Jun 2017
MOT Expiry: 29 Jun 2026
Tax Status: —
Color: Yellow

Check History & Specs

JL57PUR

MOT Valid

NISSAN QASHQAI

1.2L · Petrol · Red

First Used: Sep 2018
MOT Expiry: 10 Mar 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for JL57P Makes

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

DS Common Problems NISSAN Common Problems

Frequently Asked Questions about JL57P Plates

Where was the JL57P number plate series registered?

Vehicles starting with JL57P 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 JL57P?

The JL57P age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a JL57P 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.