Where was the UB11E number plate registered?

Vehicles with the UB11E prefix were first registered in the UK through official DVLA regional allocation tag UB.

What year was a UB11E registration plate released?

The UB11E series was issued during March 2011 to August 2011.

What is the MOT pass rate for UB11E vehicles?

Vehicles in the UB11E cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UB11E Series Number Plates

UK vehicles during March 2011 to August 2011 with registration prefix UB11E.

Area Office: DVLA Region (UB)
Release Period: March 2011 to August 2011
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

LAND ROVER 50% (1)

TOYOTA 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

White2 vehicles

Active Plates in UB11E Series(2 of 2 displayed)

Filter by 6th Letter:

UB11END

MOT Valid

TOYOTA HI-ACE

2.5L · Diesel · White

First Used: Oct 2011
MOT Expiry: 09 Aug 2027
Tax Status: —
Color: White

Check History & Specs

UB11EVA

MOT Valid

LAND ROVER RANGE ROVER EVOQUE

2.0L · Diesel · White

First Used: Sep 2015
MOT Expiry: 19 Apr 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for UB11E Makes

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

LAND ROVER Common Problems TOYOTA Common Problems

Frequently Asked Questions about UB11E Plates

Where was the UB11E number plate series registered?

Vehicles starting with UB11E were assigned to the DVLA regional office covering the UK. The first two letters (UB) identify the memory tag assigned by the DVLA.

What registration period is UB11E?

The UB11E age identifier corresponds to vehicles first registered between March 2011 to August 2011.

How can I check the MOT history of a UB11E 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.