Average fuel consumption Tata Indica 1.4 i (75 Hp) 1998-2017
Average fuel consumption based on inCarDoc application data.
| Total Measurement Range: | |
|---|---|
| Distance | 71 km / 44 mi | 
| Trips сount | 6 | 
| Technical details: | |
|---|---|
| Engine volume | 1.4 l | 
| Fuel type | Gasoline | 
| Horsepower | 75 hp | 
| Transmission | Manual | 
Consumption:
Comparison with other Tata Indica 1.4 i (75 Hp) 1998-2017 models
| Model | Urban | Combined | Сountryside | 
|---|---|---|---|
| Indica 1.4 TD (71 Hp) | 15.9 l/100km | N/A | N/A | 
| Indica 1.4 TD (71 Hp) | 14.8 mpg(US) | N/A | N/A | 
| Indica 1.4 TD (71 Hp) | 17.8 mpg(UK) | N/A | N/A | 
Frequently asked questions
According to real-world user data from the inCarDoc application, TataВ IndicaВ with a 1.4 l Gasoline consumes on average:
- In urban conditions: 13.1 l/100km 18.0 mpg(US) 21.6 mpg(UK);
- In combined cycle: 11.2 l/100km 21.0 mpg(US) 25.2 mpg(UK);
- On the highway: 6.7 l/100km 35.1 mpg(US) 42.2 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 13.1 l/100km 18.0 mpg(US) 21.6 mpg(UK) due to traffic jams, aggressive driving, climate, and road conditions.
According to inCarDoc, the average fuel consumption of Tata Indica 1.4 i (75 Hp) 1998-2017 on highways is 6.7 l/100km 35.1 mpg(US) 42.2 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 11.2 l/100km 21.0 mpg(US) 25.2 mpg(UK) , Tata Indica 1.4 i (75 Hp) 1998-2017 will use approximately 112 liters of fuel over a distance of 1,000 km.
Fuel consumption is 11.2 l/100km 21.0 mpg(US) 25.2 mpg(UK) in combined mode.
Absolutely! If you want to view real fuel consumption statistics for other Tata Indica configurations, we have data on the following versions:
- Tata Indica 1.4 TD (71 Hp) 2000-2017
To find real-world stats for other TataВ Indica versions, use the filter at this link: here
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