Where was the UB11C number plate registered?

Vehicles with the UB11C prefix were first registered in the UK through official DVLA regional allocation tag UB.

What year was a UB11C registration plate released?

The UB11C series was issued during March 2011 to August 2011.

What is the MOT pass rate for UB11C vehicles?

Vehicles in the UB11C cohort demonstrate an average historical MOT pass rate of 87.5% based on 8 recorded DVSA inspections.

Batch Prefix Hub

UB11C Series Number Plates

UK vehicles during March 2011 to August 2011 with registration prefix UB11C.

Area Office: DVLA Region (UB)
Release Period: March 2011 to August 2011
Tracked in Batch: 2 vehicles
MOT Pass Rate: 87.5%

Popular Makes

MERCEDES-BENZ 50% (1)

VOLKSWAGEN 50% (1)

87.5%

Average MOT Pass Rate

Based on 8 historical tests

Common Colors

Blue1 vehicles

Grey1 vehicles

Active Plates in UB11C Series(2 of 2 displayed)

UB11CAD

MOT Valid

MERCEDES-BENZ GLC

1.9L · Diesel · Grey

First Used: Jul 2020
MOT Expiry: 30 Jul 2027
Tax Status: —
Color: Grey

Check History & Specs

UB11CAT

MOT Valid

VOLKSWAGEN GOLF

1.6L · Diesel · Blue

First Used: Nov 2016
MOT Expiry: 22 Feb 2027
Tax Status: —
Color: Blue

Check History & Specs

Reliability & Common Problem Guides for UB11C Makes

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

MERCEDES-BENZ Common Problems VOLKSWAGEN Common Problems

Frequently Asked Questions about UB11C Plates

Where was the UB11C number plate series registered?

Vehicles starting with UB11C 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 UB11C?

The UB11C age identifier corresponds to vehicles first registered between March 2011 to August 2011.

How can I check the MOT history of a UB11C 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.