Where was the UF06R number plate registered?

Vehicles with the UF06R prefix were first registered in the UK through official DVLA regional allocation tag UF.

What year was a UF06R registration plate released?

The UF06R series was issued during March 2006 to August 2006.

What is the MOT pass rate for UF06R vehicles?

Vehicles in the UF06R cohort demonstrate an average historical MOT pass rate of 100% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UF06R Series Number Plates

UK vehicles during March 2006 to August 2006 with registration prefix UF06R.

Area Office: DVLA Region (UF)
Release Period: March 2006 to August 2006
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

UF06R Cohort Statistics

Popular Makes

PORSCHE 50% (1)

TESLA 50% (1)

100%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black2 vehicles

Active Plates in UF06R Series(2 of 2 displayed)

UF06ROB

MOT Valid

TESLA MODEL S

Electric · Black

First Used: Mar 2019
MOT Expiry: 30 Dec 2026
Tax Status: —
Color: Black

Check History & Specs

UF06ROM

MOT Expired

PORSCHE 911 CARRERA 2S S-A

3.8L · Petrol · Black

First Used: Aug 2009
MOT Expiry: 21 Sep 2026
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for UF06R Makes

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

PORSCHE Common Problems TESLA Common Problems

Frequently Asked Questions about UF06R Plates

Where was the UF06R number plate series registered?

Vehicles starting with UF06R were assigned to the DVLA regional office covering the UK. The first two letters (UF) identify the memory tag assigned by the DVLA.

What registration period is UF06R?

The UF06R age identifier corresponds to vehicles first registered between March 2006 to August 2006.

How can I check the MOT history of a UF06R 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.