KG09D Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2009 to August 2009 with registration prefix KG09D.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2009 to August 2009
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 88.2%
Average MOT Pass Rate
Based on 34 historical tests
Common Colors
Active Plates in KG09D Series(7 of 7 displayed)
FORD FIESTA
1.0L · Petrol · Red
- First Used
- May 2017
- MOT Expiry
- 28 Aug 2027
- Tax Status
- —
- Color
- Red
PORSCHE CAYENNE
3.0L · Diesel · Black
- First Used
- Sep 2011
- MOT Expiry
- 28 Jan 2027
- Tax Status
- —
- Color
- Black
NISSAN QASHQAI
1.5L · Diesel · Black
- First Used
- Dec 2016
- MOT Expiry
- 15 Dec 2026
- Tax Status
- —
- Color
- Black
AUDI Q3
2.0L · Diesel · Green
- First Used
- Aug 2017
- MOT Expiry
- 06 Jul 2026
- Tax Status
- —
- Color
- Green
BMW 520
2.0L · Diesel · Black
- First Used
- Sep 2009
- MOT Expiry
- 12 Aug 2027
- Tax Status
- —
- Color
- Black
MERCEDES-BENZ E
1.9L · Diesel · Grey
- First Used
- Mar 2019
- MOT Expiry
- 20 Jan 2027
- Tax Status
- —
- Color
- Grey
AUDI Q5
2.0L · Diesel · Black
- First Used
- Mar 2009
- MOT Expiry
- 28 Dec 2026
- Tax Status
- —
- Color
- Black
Reliability & Common Problem Guides for KG09D Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KG09D Plates
Where was the KG09D number plate series registered?
Vehicles starting with KG09D were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KG) identify the memory tag assigned by the DVLA.
What registration period is KG09D?
The KG09D age identifier corresponds to vehicles first registered between March 2009 to August 2009.
How can I check the MOT history of a KG09D 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.