Where was the UR14C number plate registered?

Vehicles with the UR14C prefix were first registered in the UK through official DVLA regional allocation tag UR.

What year was a UR14C registration plate released?

The UR14C series was issued during March 2014 to August 2014.

What is the MOT pass rate for UR14C vehicles?

Vehicles in the UR14C cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

UR14C Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix UR14C.

Area Office: DVLA Region (UR)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

UR14C Cohort Statistics

Popular Makes

AUDI 50% (1)

MAZDA 50% (1)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

GREY1 vehicles

White1 vehicles

Active Plates in UR14C Series(2 of 2 displayed)

UR14CHL

TaxedMOT Valid

MAZDA CX-5

2.2L · Diesel · White

First Used: Jan 2016
MOT Expiry: 03 Nov 2026
Tax Status: Taxed
Color: White

Check History & Specs

UR14CHY

TaxedMOT Valid

AUDI A3

2.0L · DIESEL · GREY

First Used: Apr 2015
MOT Expiry: 02 Sep 2026
Tax Status: Taxed
Color: GREY

Check History & Specs

Reliability & Common Problem Guides for UR14C Makes

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

AUDI Common Problems MAZDA Common Problems

Frequently Asked Questions about UR14C Plates

Where was the UR14C number plate series registered?

Vehicles starting with UR14C were assigned to the DVLA regional office covering the UK. The first two letters (UR) identify the memory tag assigned by the DVLA.

What registration period is UR14C?

The UR14C age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a UR14C 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.