Where was the OB13P number plate registered?

Vehicles with the OB13P prefix were first registered in Oxford, South East through official DVLA regional allocation tag OB.

What year was a OB13P registration plate released?

The OB13P series was issued during March 2013 to August 2013.

What is the MOT pass rate for OB13P vehicles?

Vehicles in the OB13P cohort demonstrate an average historical MOT pass rate of 77.8% based on 9 recorded DVSA inspections.

Batch Prefix Hub

OB13P Series Number Plates

UK vehicles registered in Oxford, South East during March 2013 to August 2013 with registration prefix OB13P.

Area Office: Oxford (Oxford, South East)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 77.8%

Popular Makes

MINI 100% (2)

77.8%

Average MOT Pass Rate

Based on 9 historical tests

Common Colors

Black1 vehicles

Green1 vehicles

Active Plates in OB13P Series(2 of 2 displayed)

OB13PUP

MOT Valid

MINI MINI

1.6L · Petrol · Black

First Used: Apr 2013
MOT Expiry: 05 Mar 2027
Tax Status: —
Color: Black

Check History & Specs

OB13PUT

MOT Valid

MINI COUNTRYMAN

1.5L · Petrol · Green

First Used: Sep 2020
MOT Expiry: 06 May 2026
Tax Status: —
Color: Green

Check History & Specs

Reliability & Common Problem Guides for OB13P Makes

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

MINI Common Problems

Frequently Asked Questions about OB13P Plates

Where was the OB13P number plate series registered?

Vehicles starting with OB13P were assigned to the Oxford covering Oxford, South East. The first two letters (OB) identify the memory tag assigned by the DVLA.

What registration period is OB13P?

The OB13P age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a OB13P 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.