Where was the CS59L number plate registered?

Vehicles with the CS59L prefix were first registered in Swansea, Wales through official DVLA regional allocation tag CS.

What year was a CS59L registration plate released?

The CS59L series was issued during September 2009 to February 2010.

What is the MOT pass rate for CS59L vehicles?

Vehicles in the CS59L cohort demonstrate an average historical MOT pass rate of 90% based on 10 recorded DVSA inspections.

Batch Prefix Hub

CS59L Series Number Plates

UK vehicles registered in Swansea, Wales during September 2009 to February 2010 with registration prefix CS59L.

Area Office: Swansea (Swansea, Wales)
Release Period: September 2009 to February 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 90%

Popular Makes

BMW 100% (2)

90%

Average MOT Pass Rate

Based on 10 historical tests

Common Colors

Red1 vehicles

White1 vehicles

Active Plates in CS59L Series(2 of 2 displayed)

Filter by 6th Letter:

CS59LDS

MOT Valid

BMW Z4

2.5L · Petrol · Red

First Used: Sep 2009
MOT Expiry: 04 Nov 2026
Tax Status: —
Color: Red

Check History & Specs

CS59LOU

MOT Valid

BMW X1

2.0L · Diesel · White

First Used: Sep 2011
MOT Expiry: 22 May 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for CS59L Makes

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

BMW Common Problems

Frequently Asked Questions about CS59L Plates

Where was the CS59L number plate series registered?

Vehicles starting with CS59L were assigned to the Swansea covering Swansea, Wales. The first two letters (CS) identify the memory tag assigned by the DVLA.

What registration period is CS59L?

The CS59L age identifier corresponds to vehicles first registered between September 2009 to February 2010.

How can I check the MOT history of a CS59L 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.