Where was the UO07O number plate registered?

Vehicles with the UO07O prefix were first registered in the UK through official DVLA regional allocation tag UO.

What year was a UO07O registration plate released?

The UO07O series was issued during March 2007 to August 2007.

What is the MOT pass rate for UO07O vehicles?

Vehicles in the UO07O cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UO07O Series Number Plates

UK vehicles during March 2007 to August 2007 with registration prefix UO07O.

Area Office: DVLA Region (UO)
Release Period: March 2007 to August 2007
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

UO07O Cohort Statistics

Popular Makes

FORD 50% (1)

PORSCHE 50% (1)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Green1 vehicles

White1 vehicles

Active Plates in UO07O Series(2 of 2 displayed)

UO07OOT

MOT Valid

FORD TRANSIT

2.2L · Diesel · White

First Used: Jun 2012
MOT Expiry: 18 Mar 2027
Tax Status: —
Color: White

Check History & Specs

UO07OOU

MOT Valid

PORSCHE 911

3.6L · Petrol · Green

First Used: Apr 2007
MOT Expiry: 23 Dec 2026
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for UO07O Makes

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

FORD Common Problems PORSCHE Common Problems

Frequently Asked Questions about UO07O Plates

Where was the UO07O number plate series registered?

Vehicles starting with UO07O were assigned to the DVLA regional office covering the UK. The first two letters (UO) identify the memory tag assigned by the DVLA.

What registration period is UO07O?

The UO07O age identifier corresponds to vehicles first registered between March 2007 to August 2007.

How can I check the MOT history of a UO07O 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.