Average fuel consumption Nissan Cube 1.5 (109Hp) 2008-2017
Average fuel consumption based on inCarDoc application data.
| Total Measurement Range: | |
|---|---|
| Distance | 5108 km / 3174 mi |
| Trips сount | 209 |
| Technical details: | |
|---|---|
| Engine volume | 1.5 l |
| Fuel type | Gasoline |
| Horsepower | 109 hp |
| Transmission | Manual |
Consumption:
Comparison with other Nissan Cube 1.5 (109Hp) 2008-2017 models
| Model | Urban | Combined | Сountryside |
|---|---|---|---|
| Cube 1.3 i 16V (85 Hp) | N/A | 12.6 l/100km | N/A |
| Cube 1.3 i 16V (85 Hp) | N/A | 18.7 mpg(US) | N/A |
| Cube 1.3 i 16V (85 Hp) | N/A | 22.4 mpg(UK) | N/A |
Frequently asked questions
According to real-world user data from the inCarDoc application, NissanВ CubeВ with a 1.5 l Gasoline consumes on average:
- In urban conditions: 13.0 l/100km 18.1 mpg(US) 21.7 mpg(UK);
- In combined cycle: 9.2 l/100km 25.6 mpg(US) 30.7 mpg(UK);
- On the highway: 9.1 l/100km 25.8 mpg(US) 31.0 mpg(UK).
Official data ( N/A N/A N/A ) is obtained under laboratory conditions. In real-world driving, fuel consumption may be higher-for example, in city traffic it can reach 13.0 l/100km 18.1 mpg(US) 21.7 mpg(UK) due to traffic jams, aggressive driving, climate, and road conditions.
According to inCarDoc, the average fuel consumption of Nissan Cube 1.5 (109Hp) 2008-2017 on highways is 9.1 l/100km 25.8 mpg(US) 31.0 mpg(UK) ) is obtained under laboratory conditions. In real-world driving, fuel consumption may be higher-for example, in city traffic it can reach
With an average combined fuel consumption of 9.2 l/100km 25.6 mpg(US) 30.7 mpg(UK) , Nissan Cube 1.5 (109Hp) 2008-2017 will use approximately 92 liters of fuel over a distance of 1,000 km.
Fuel consumption is 9.2 l/100km 25.6 mpg(US) 30.7 mpg(UK) in combined mode.
Absolutely! If you want to view real fuel consumption statistics for other Nissan Cube configurations, we have data on the following versions:
- Nissan Cube 1.3 i 16V (85 Hp) 1999-2003
To find real-world stats for other NissanВ Cube versions, use the filter at this link: here
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