Where was the JP51V number plate registered?

Vehicles with the JP51V prefix were first registered in the UK through official DVLA regional allocation tag JP.

What year was a JP51V registration plate released?

The JP51V series was issued during September 2001 to February 2002.

What is the MOT pass rate for JP51V vehicles?

Vehicles in the JP51V cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

JP51V Series Number Plates

UK vehicles during September 2001 to February 2002 with registration prefix JP51V.

Area Office: DVLA Region (JP)
Release Period: September 2001 to February 2002
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

FORD 50% (1)

VOLVO 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Black1 vehicles

Blue1 vehicles

Active Plates in JP51V Series(2 of 2 displayed)

Filter by 6th Letter:

JP51VES

MOT Valid

VOLVO XC60

2.0L · Diesel · Black

First Used: Sep 2017
MOT Expiry: 26 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

JP51VJP

MOT Valid

FORD KA

1.2L · Petrol · Blue

First Used: May 2010
MOT Expiry: 26 Aug 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for JP51V Makes

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

FORD Common Problems VOLVO Common Problems

Frequently Asked Questions about JP51V Plates

Where was the JP51V number plate series registered?

Vehicles starting with JP51V 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 JP51V?

The JP51V age identifier corresponds to vehicles first registered between September 2001 to February 2002.

How can I check the MOT history of a JP51V 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.