Study of 27 million used car sales shows how consumers change their car-buying choices with fluctuations in gas prices

With average U.S. gas prices declining nearly $1.50 per gallon since last September and speculation about how current gas prices will affect consumers’ car purchases, iSeeCars.com analyzed three years of historical data to identify exactly how buying patterns changed, and found a few surprises along the way.

To conduct the research, iSeeCars.com’s analysts used correlation and data from 27 million used car sales during 2012-2014 to mathematically determine the relationship between gas prices and different segments of vehicle sales: trucks, passenger cars, SUVs and CUVs, fuel-efficient cars and hybrids.

Not surprisingly, car buyers bought more used pickup trucks when gas prices were lower than when they were higher. iSeeCars.com’s analysts found a moderately strong inverse relationship with gas prices and truck sales (Figure 1). For every dollar that the average gas price decreased, monthly truck sales increased by about two percent. For example, when gas prices averaged $2.90 per gallon, pickup-truck sales represented approximately 11.5 percent of all used vehicle sales. When prices averaged $3.90 per gallon, they dropped to approximately 9.5 percent of all used vehicle sales.

Figure 1: Monthly truck sales as a function of national monthly average gas price

There was also a similar moderately strong relationship between passenger car (sedans, hatchbacks, coupes and convertibles) sales and gas prices (Figure 2). iSeeCars.com found that for every dollar average gas prices increased, monthly passenger car sales increased by just under two percent. When gas prices averaged $2.90 per gallon, passenger car sales made up about 50.8 percent of all used vehicle sales. In contrast to truck sales, when gas prices averaged $3.90 per gallon, passenger car sales increased to approximately 52.5 percent.

Figure 2: Monthly passenger car sales vs. national monthly average gas price

Unlike trucks and passenger vehicles, SUV and CUV sales did not show a strong correlation with gas prices. They had a similar trend to pickup trucks, but at a much slower rate. For every dollar the average gas price decreased, monthly SUV and CUV sales increased by just 0.7 percent.

“Clearly, SUV and crossover buyers are not as concerned with fuel costs as they are with purchasing the car they really want,” said Phong Ly, CEO of iSeeCars.com. “Part of the reason for the difference in SUV buyer behavior compared with pickup trucks might be that this segment is much closer in fuel efficiency to passenger cars than pickups.” In the company’s analysis, the average fuel economy for pickup truck sales was 14.3 miles per gallon, while the average for SUVs and CUVs was 19.3 mpg, and passenger cars’ average mpg was 25.3.

Figure 3: Monthly SUV sales vs. national monthly average gas price

In fact, fuel efficiency had even stronger correlations with gas prices. When they were high, consumers bought more fuel-efficient vehicles (averaging 20-26 mpg; Figure 4). When gas prices were low, consumers shifted their purchases toward less fuel-efficient vehicles (averaging 17 mpg and below; Figure 5).

“When consumers aren’t buying so-called ‘gas guzzlers,’ they seem to shift toward slightly more fuel-efficient vehicles only -- not toward the vehicles with a substantial improvement in fuel efficiency,” said Ly.

Unexpectedly, iSeeCars.com’s analysis found a weak relationship between hybrid car sales and gas prices (Figure 6), which may indicate that hybrid car buyers are choosing to buy these vehicles based on other factors beyond just gas prices. “Our data shows that car shoppers are choosing larger vehicles that still suit their needs in terms of passenger capacity and cargo capability, and they’re perhaps compromising only slightly in these areas or even simply choosing a more fuel-efficient powertrain within a model’s lineup,” said Ly.

Figure 4: Monthly sales of 20-26 mpg vehicles vs. national monthly average gas price

Figure 5: Monthly sales of vehicles with 17 mpg and below vs. national monthly average gas price

Figure 6: Monthly hybrid vehicle sales vs. national monthly average gas price

Methodology

iSeeCars.com analyzed over 27 million sales of used 2010 to 2015 model year vehicles sold between January 1, 2012 and December 31, 2014, and compared them to national monthly average gas prices obtained from the U.S. Energy Information Administration over the same period. The numbers of unit sales of trucks, passenger cars (defined as sedans, hatchbacks, coupes and convertibles), hybrid vehicles, vehicles with 17 mpg and below, and vehicles with 20-26 mpg, were expressed as a percentage of the total number of sales per month. These categories were compared to gas prices in an effort to discover whether there were changes in consumers’ purchasing behaviors that followed fluctuations in gas prices.

To mathematically quantify the relationship between these vehicle categories and gas prices, iSeeCars.com used the Pearson correlation coefficient, widely accepted as a measurement of the strength of the linear relationship between two variables. The value of this measure ranges from -1.0 to 1.0. A correlation coefficient of 0 implies no relationship between the two variables, 1.0 implies a perfect linear relationship, and -1.0 implies a perfect inverse linear relationship (a perfect linear relationship is one in which all the data points lie exactly on a straight line). Values in the range of -0.6 to -0.4, or 0.4 to 0.6, are generally considered to indicate moderately strong relationships. The estimated correlation coefficients are indicated in the graph titles and reproduced in the table below.

Trend lines were also fit to each dataset, and the equation of the line is shown in the upper left-hand corner of each graph. The slopes of these lines indicate the change in percent of monthly sales for every dollar change in average gas price.

About iSeeCars.com

iSeeCars.com is a data-driven car search and research company that helps shoppers find the best car deals by providing key insights and valuable resources, including the iSeeCars VIN Check report and Best Cars Rankings. iSeeCars has saved users over $406 million so far by applying big data analytics powered by over 25 billion (and growing) data points and using proprietary algorithms to objectively analyze, score and rank millions of new cars and used cars.