Where was the UG11C number plate registered?

Vehicles with the UG11C prefix were first registered in the UK through official DVLA regional allocation tag UG.

What year was a UG11C registration plate released?

The UG11C series was issued during March 2011 to August 2011.

What is the MOT pass rate for UG11C vehicles?

Vehicles in the UG11C cohort demonstrate an average historical MOT pass rate of 80% based on 10 recorded DVSA inspections.

Batch Prefix Hub

UG11C Series Number Plates

UK vehicles during March 2011 to August 2011 with registration prefix UG11C.

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

Popular Makes

AUDI 50% (1)

SMART 50% (1)

80%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

BLACK1 vehicles

Blue1 vehicles

Active Plates in UG11C Series(2 of 2 displayed)

Filter by 6th Letter:

UG11CAN

TaxedMOT Valid

AUDI A3

1.2L · Petrol · Blue

First Used: Mar 2011
MOT Expiry: 10 Jan 2027
Tax Status: Taxed
Color: Blue

Check History & Specs

UG11COW

TaxedMOT Valid

SMART FORFOUR

1.0L · PETROL · BLACK

First Used: Sep 2018
MOT Expiry: 13 Jan 2027
Tax Status: Taxed
Color: BLACK

Check History & Specs

Reliability & Common Problem Guides for UG11C Makes

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

AUDI Common Problems SMART Common Problems

Frequently Asked Questions about UG11C Plates

Where was the UG11C number plate series registered?

Vehicles starting with UG11C were assigned to the DVLA regional office covering the UK. The first two letters (UG) identify the memory tag assigned by the DVLA.

What registration period is UG11C?

The UG11C age identifier corresponds to vehicles first registered between March 2011 to August 2011.

How can I check the MOT history of a UG11C 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.