Harry here. Every year, RSG conducts a survey on rideshare drivers: how often they drive, which platforms they’re on, earnings, etc. While identifying information is anonymous, researchers have reached out to me for this data to extrapolate for their own research. Today, we have a post from Michael Maffie from Cornell University that summarizes the findings of that 2017 survey and what this means for rideshare driving.
Also, Cornell University is running a new survey open to current or former drives – see below on how to register and what you can win.
We are only halfway through 2017 and it has already been big year for rideshare: Lyft and Google have teamed up to work on self-driving cars, Uber came under fire for their “Hell” and “Greyball” programs, Eric Holder presented his report to Uber’s board, and Lyft continued its expansion into more markets.
While headlines give us a glimpse inside these companies’ worlds, most of us outsiders have very little data to understand the wider rideshare market. Harry’s 2017 driver survey, however, allows us to glean some additional information about how rideshare markets are developing and who is working in the industry.
For readers who did not see the article when it came out, Harry gathered some of the best data on rideshare drivers to date. His survey recorded over 1,500 respondents from all over the United States and gives us a look into the lives of drivers (you can see the original result here). Using Harry’s original dataset it is possible to explore some intriguing relationships in the rideshare world, such as: How many drivers only use one app? Are men more likely to work full-time than women? Who is more likely to work for Uber – men or women? Are younger drivers more likely to log long hours compared to older drivers?
Before getting into the data, I want to let everyone know that Cornell University is running a new survey that is open to all current or former drivers – click here to register. You can win up to $300 in Amazon Gift Cards (we are raffling off $2,500 in gift cards (see the bottom of this article for information about the raffle). The survey is designed so you can take it on a smartphone while waiting for a passenger.
Now, let’s explore Harry’s original dataset.