Where was the UA14D number plate registered?

Vehicles with the UA14D prefix were first registered in the UK through official DVLA regional allocation tag UA.

What year was a UA14D registration plate released?

The UA14D series was issued during March 2014 to August 2014.

What is the MOT pass rate for UA14D vehicles?

Vehicles in the UA14D cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

UA14D Series Number Plates

UK vehicles during March 2014 to August 2014 with registration prefix UA14D.

Area Office: DVLA Region (UA)
Release Period: March 2014 to August 2014
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

KIA 50% (1)

NISSAN 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

Black1 vehicles

Red1 vehicles

Active Plates in UA14D Series(2 of 2 displayed)

Filter by 6th Letter:

UA14DAN

MOT Valid

NISSAN JUKE N-CONNECTA DIG-T S-A

1.0L · Petrol · Black

First Used: Mar 2023
MOT Expiry: 30 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

UA14DEN

MOT Valid

KIA CEED

1.6L · Diesel · Red

First Used: Jul 2015
MOT Expiry: 17 Aug 2027
Tax Status: —
Color: Red

Check History & Specs

Reliability & Common Problem Guides for UA14D Makes

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

KIA Common Problems NISSAN Common Problems

Frequently Asked Questions about UA14D Plates

Where was the UA14D number plate series registered?

Vehicles starting with UA14D were assigned to the DVLA regional office covering the UK. The first two letters (UA) identify the memory tag assigned by the DVLA.

What registration period is UA14D?

The UA14D age identifier corresponds to vehicles first registered between March 2014 to August 2014.

How can I check the MOT history of a UA14D 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.