
1 used Vauxhall Viva car for sale near Shrewsbury
Prices from just £7698
Recently added used Vauxhall Viva cars near Shrewsbury
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2017 (17) Vauxhall Viva 1.0 SE 5dr [A/C]
- 19,811 miles
- Used
- 61.4 MPG*
Only £7698£249 Deposit + £159.71 Per month
For used Vauxhall Viva cars in Shrewsbury, choose Arnold Clark
Looking for a great deal on a used Vauxhall Viva car in Shrewsbury?
Arnold Clark offers the best used Vauxhall Viva deals in Shrewsbury, guaranteed. And if you find a better used Vauxhall Viva deal elsewhere, we’ll give you back double the difference.
Whether you’re looking to finance a Vauxhall Viva in Shrewsbury or purchase one, we have a wide range of second-hand Vauxhall Viva cars available to buy online safely with Click & Collect and home delivery options available.
Search our stock of used Vauxhall Viva cars in Shrewsbury or find your nearest branch.
Why buy from Arnold Clark?
- We offer the UK's best used car deals, guaranteed.
- Reserve your car online for a deposit of just £99.
- No hidden fees - the price you see is the price you pay.
- Contactless Click & Collect and home delivery now available.
Our used Vauxhall models
Our Vauxhall branches near Shrewsbury
What our customers say on Trustpilot
Monthly Payment | £159.71 |
---|---|
Deposit | £249 |
Term (Months) | 60 |
Cash Price | £7698 |
Credit Amount | £7449 |
Completion Fee | £1 |
Total Amount Payable | £9,832 |
Fixed Interest Rate | 5.7% |
Representative APR | 10.9% |
Arnold Clark Automobiles Limited is authorised and regulated by the Financial Conduct Authority (308092) for general insurance and consumer credit purposes. We act as a credit broker sourcing credit to assist with your purchase from a carefully selected panel of lenders. Lenders will pay us a fee for these introductions (click here for details including our panel of lenders and disclosure statement). Offers subject to status, terms and conditions.
* MPG figures are obtained in laboratory testing and intended for comparisons between vehicles. Please be aware they’re not intended to represent real world efficiency.