Where was the JF59W number plate registered?

Vehicles with the JF59W prefix were first registered in the UK through official DVLA regional allocation tag JF.

What year was a JF59W registration plate released?

The JF59W series was issued during September 2009 to February 2010.

What is the MOT pass rate for JF59W vehicles?

Vehicles in the JF59W cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JF59W Series Number Plates

UK vehicles during September 2009 to February 2010 with registration prefix JF59W.

Area Office: DVLA Region (JF)
Release Period: September 2009 to February 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

AUDI 50% (1)

MERCEDES-BENZ 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Blue1 vehicles

White1 vehicles

Active Plates in JF59W Series(2 of 2 displayed)

JF59WAL

MOT Valid

AUDI Q5

2.0L · Diesel · Blue

First Used: Sep 2012
MOT Expiry: 14 May 2027
Tax Status: —
Color: Blue

Check History & Specs

JF59WAT

MOT Valid

MERCEDES-BENZ CLA

1.6L · Petrol · White

First Used: Mar 2016
MOT Expiry: 12 Feb 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JF59W Makes

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

AUDI Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JF59W Plates

Where was the JF59W number plate series registered?

Vehicles starting with JF59W 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 JF59W?

The JF59W age identifier corresponds to vehicles first registered between September 2009 to February 2010.

How can I check the MOT history of a JF59W 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.