Where was the JP52W number plate registered?

Vehicles with the JP52W prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP52W registration plate released?

The JP52W series was issued during September 2002 to February 2003.

What is the MOT pass rate for JP52W vehicles?

Vehicles in the JP52W cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

JP52W Series Number Plates

UK vehicles during September 2002 to February 2003 with registration prefix JP52W.

Area Office: DVLA Region (JP)
Release Period: September 2002 to February 2003
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

FIAT 50% (1)

MERCEDES-BENZ 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

White2 vehicles

Active Plates in JP52W Series(2 of 2 displayed)

JP52WAS

MOT Valid

FIAT 500C

1.2L · Petrol · White

First Used: Mar 2016
MOT Expiry: 22 Jun 2027
Tax Status: —
Color: White

Check History & Specs

JP52WAT

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · White

First Used: Sep 2015
MOT Expiry: 30 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JP52W Makes

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

FIAT Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JP52W Plates

Where was the JP52W number plate series registered?

Vehicles starting with JP52W were assigned to the DVLA regional office covering the UK. The first two letters (JP) identify the memory tag assigned by the DVLA.

What registration period is JP52W?

The JP52W age identifier corresponds to vehicles first registered between September 2002 to February 2003.

How can I check the MOT history of a JP52W 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.