Where was the US13C number plate registered?

Vehicles with the US13C prefix were first registered in the UK through official DVLA regional allocation tag US.

What year was a US13C registration plate released?

The US13C series was issued during March 2013 to August 2013.

What is the MOT pass rate for US13C vehicles?

Vehicles in the US13C cohort demonstrate an average historical MOT pass rate of 66.7% based on 6 recorded DVSA inspections.

Batch Prefix Hub

US13C Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix US13C.

Area Office: DVLA Region (US)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 66.7%

Popular Makes

FORD 50% (1)

MERCEDES-BENZ 50% (1)

66.7%

Average MOT Pass Rate

Based on 6 historical tests

Common Colors

Black2 vehicles

Active Plates in US13C Series(2 of 2 displayed)

Filter by 6th Letter:

US13CMS

MOT Valid

MERCEDES-BENZ C

2.1L · Diesel · Black

First Used: Jun 2013
MOT Expiry: 19 May 2026
Tax Status: —
Color: Black

Check History & Specs

US13COP

MOT Valid

FORD UNKNOWN

3.7L · Petrol · Black

First Used: Dec 2014
MOT Expiry: 08 Apr 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for US13C Makes

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

FORD Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about US13C Plates

Where was the US13C number plate series registered?

Vehicles starting with US13C were assigned to the DVLA regional office covering the UK. The first two letters (US) identify the memory tag assigned by the DVLA.

What registration period is US13C?

The US13C age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a US13C 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.