Where was the JF57T number plate registered?

Vehicles with the JF57T prefix were first registered in the UK through official DVLA regional allocation tag JF.

What year was a JF57T registration plate released?

The JF57T series was issued during September 2007 to February 2008.

What is the MOT pass rate for JF57T vehicles?

Vehicles in the JF57T cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JF57T Series Number Plates

UK vehicles during September 2007 to February 2008 with registration prefix JF57T.

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

Popular Makes

AUDI 50% (1)

FORD 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Grey1 vehicles

Orange1 vehicles

Active Plates in JF57T Series(2 of 2 displayed)

Filter by 6th Letter:

JF57TER

MOT Valid

AUDI A4

2.0L · Diesel · Grey

First Used: May 2019
MOT Expiry: 22 Sep 2027
Tax Status: —
Color: Grey

Check History & Specs

JF57TJF

MOT Valid

FORD KUGA

2.0L · Diesel · Orange

First Used: May 2016
MOT Expiry: 25 Nov 2026
Tax Status: —
Color: Orange

Check History & Specs

Reliability & Common Problem Guides for JF57T Makes

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

AUDI Common Problems FORD Common Problems

Frequently Asked Questions about JF57T Plates

Where was the JF57T number plate series registered?

Vehicles starting with JF57T were assigned to the DVLA regional office covering the UK. The first two letters (JF) identify the memory tag assigned by the DVLA.

What registration period is JF57T?

The JF57T age identifier corresponds to vehicles first registered between September 2007 to February 2008.

How can I check the MOT history of a JF57T 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.