KA08N Series Number Plates
UK vehicles registered in Borehamwood (Luton), South East during March 2008 to August 2008 with registration prefix KA08N.
- Area Office
- Borehamwood (Luton) (Borehamwood (Luton), South East)
- Release Period
- March 2008 to August 2008
- Tracked in Batch
- 7 vehicles
- MOT Pass Rate
- 84.8%
Average MOT Pass Rate
Based on 33 historical tests
Common Colors
Active Plates in KA08N Series(7 of 7 displayed)
VOLKSWAGEN GOLF
1.6L · Diesel · Red
- First Used
- Mar 2013
- MOT Expiry
- 12 Aug 2026
- Tax Status
- —
- Color
- Red
SUZUKI VL 800
0.8L · Petrol · Black
- First Used
- Aug 2008
- MOT Expiry
- 30 Aug 2027
- Tax Status
- —
- Color
- Black
AUDI Q7
3.0L · Diesel · Blue
- First Used
- Jun 2017
- MOT Expiry
- 20 Feb 2027
- Tax Status
- —
- Color
- Blue
RENAULT CLIO
0.9L · Petrol · Grey
- First Used
- May 2016
- MOT Expiry
- 03 Apr 2027
- Tax Status
- —
- Color
- Grey
FORD RANGER
2.2L · Diesel · Grey
- First Used
- Sep 2017
- MOT Expiry
- 05 Mar 2027
- Tax Status
- —
- Color
- Grey
VOLKSWAGEN GOLF
1.6L · Petrol · Black
- First Used
- Apr 2008
- MOT Expiry
- 26 May 2026
- Tax Status
- —
- Color
- Black
HONDA CIVIC
1.6L · Diesel · Red
- First Used
- Sep 2014
- MOT Expiry
- 14 Nov 2026
- Tax Status
- —
- Color
- Red
Reliability & Common Problem Guides for KA08N Makes
Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:
Frequently Asked Questions about KA08N Plates
Where was the KA08N number plate series registered?
Vehicles starting with KA08N were assigned to the Borehamwood (Luton) covering Borehamwood (Luton), South East. The first two letters (KA) identify the memory tag assigned by the DVLA.
What registration period is KA08N?
The KA08N age identifier corresponds to vehicles first registered between March 2008 to August 2008.
How can I check the MOT history of a KA08N 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.