Used Dacia cars for sale near Stoke-on-trent
Prices from just £11,998
Search 6 carsUsed Dacia cars available in Stoke-on-trent
Used Dacia cars in stock near Stoke-on-trent
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2025 (74) Dacia Sandero Stepway 1.0 TCe 110 Extreme 5dr
- 1739 miles
- Nearly new
- Petrol
Only £16,498£249 Deposit + £291.75 Per month -
2022 (72) Dacia Duster 1.0 TCe 90 Comfort 5dr
- 21,851 miles
- Used
- Petrol
Only £13,998£249 Deposit + £242.86 Per month - 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.
- Click & Collect and home delivery now available.
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2023 (23) Dacia Sandero 1.0 Tce Expression 5dr
- 16,055 miles
- Used
- Petrol
Only £11,998£249 Deposit + £216.21 Per month -
2023 (73) Dacia Jogger 1.0 TCe Extreme 5dr
- 25,446 miles
- Used
- Petrol
Only £16,798£249 Deposit + £291.77 Per month -
2024 (24) Dacia Jogger 1.0 TCe Extreme 5dr
- 28,534 miles
- Used
- Petrol
Only £16,998£249 Deposit + £294.83 Per month -
2022 (22) Dacia Sandero Stepway 1.0 TCe Comfort 5dr
- 28,516 miles
- Used
- Petrol
Only £11,998£249 Deposit + £231.41 Per month
Why choose Arnold Clark?
What our customers say on Trustpilot
| Monthly Payment | £216.21 |
|---|---|
| Deposit | £249 |
| Term (Months) | 48 |
| Cash Price | £11998 |
| Credit Amount | £11749.0 |
| Completion Fee | £1 |
| Total Amount Payable | £15,204 |
| Fixed Interest Rate | 5.1% |
| Representative APR | 9.9% |
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.