Where was the JX57N number plate registered?

Vehicles with the JX57N prefix were first registered in the UK through official DVLA regional allocation tag JX.

What year was a JX57N registration plate released?

The JX57N series was issued during September 2007 to February 2008.

What is the MOT pass rate for JX57N vehicles?

Vehicles in the JX57N cohort demonstrate an average historical MOT pass rate of 100% based on 4 recorded DVSA inspections.

Batch Prefix Hub

JX57N Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix JX57N.

Area Office: DVLA Region (JX)
Release Period: September 2007 to February 2008
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

BMW 50% (1)

MINI 50% (1)

100%

Average MOT Pass Rate

Based on 4 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in JX57N Series(2 of 2 displayed)

Filter by 6th Letter:

JX57NAZ

MOT Valid

BMW 420

2.0L · Petrol · Grey

First Used: Jun 2015
MOT Expiry: 30 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

JX57NET

MOT Valid

MINI COUNTRYMAN

1.5L · Petrol · Blue

First Used: Apr 2022
MOT Expiry: 26 Apr 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JX57N Makes

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

BMW Common Problems MINI Common Problems

Frequently Asked Questions about JX57N Plates

Where was the JX57N number plate series registered?

Vehicles starting with JX57N were assigned to the DVLA regional office covering the UK. The first two letters (JX) identify the memory tag assigned by the DVLA.

What registration period is JX57N?

The JX57N age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a JX57N 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.