Price for Land Rover Range Rover Evoque

Land Rover Range Rover Evoque Vehicles have gone through a strong increase in their selling price recently. There has been a considerable inflation in the selling prices for this model.

₱ 2,441,630.5
Average price Last 6 months
Price for Land Rover Range Rover Evoque

The retail prices for Land Rover Range Rover Evoque cars have gone through a strong rise during the last 6 months. The average price in November was of ₱ 1,978,000. This price hardly went through any changes and remained at ₱ 1,998,000 during December. During the following two months (January, February) the average selling price experienced a noticeable rise, going up 35 % from ₱ 1,988,000 to ₱ 2,689,678. The average price has risen 13 % during the last two months. This result was obtained based on the price for the first four months (PRECIO1!) and the price (₱ 2,647,213.5) during March and April.

Price per registration year

The average price for Land Rover Range Rover Evoque has had a strong rise in recent years. Between 2012 and 2015, the average price is ₱ 2,712,481.75. There was a significant inflation of the average price in 2012 (₱ 2,122,778) moving up till (₱ 3,052,667)in 2015.

Price per mileage

The graph that displays the price for Land Rover Range Rover Evoque cars according to their mileage shows that those cars within a mileage range of "less than 10,000" are the ones with the lowest price. They are 6 % more affordable than the average price (₱ 2,598,322). Next with a price of ₱ 2,567,333 and a mileage range of "25,000 - 50,000" we would see the following vehicles. The mileage range for the most expensive cars is "10,000 - 25,000". It is 14% more costly than the average market value followed by those vehicles with a mileage of "25,000 - 50,000" and a price of ₱ 2,567,333.

Charts data
Average price April
Number of Land Rover Range Rover Evoque ads used
Num. of cars with registration year mentioned
Num. of cars with mileage mentioned
₱ 2,598,322
36
15
36
** Graph's data with null or zero value are due to there isn't enough data available to get a reliable value