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In 2003 economists Marianne Betrand and Sendhil Mullainathan shocked the HR community with the publication of Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination, which measured how identical resumes performed based on the name attached. The most eye-grabbing statistic was that applicants with white sounding names were 50% more likely to land a callback than applicants with black sounding names. This groundbreaking study provided undeniable proof of something people in minority groups knew all too well: bias plays a major factor in the hiring process. Since then there has been a collective effort to reduce or outright eliminate hiring bias. While major strides have been made in the last two decades, it shouldn’t come as a shock that hiring bias is still something jobseekers must contend with in 2025.Here’s a look at the state of hiring bias in 2025: where things have improved, where they've stayed the same, and where they've gotten worse.
In 2003 economists Marianne Betrand and Sendhil Mullainathan shocked the HR community with the publication of Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination, which measured how identical resumes performed based on the name attached. The most eye-grabbing statistic was that applicants with white sounding names were 50% more likely to land a callback than applicants with black sounding names. This groundbreaking study provided undeniable proof of something people in minority groups knew all too well: bias plays a major factor in the hiring process.
Since then there has been a collective effort to reduce or outright eliminate hiring bias. While major strides have been made in the last two decades, it shouldn’t come as a shock that hiring bias is still something jobseekers must contend with in 2025. Here’s a look at the state of hiring bias in 2025: where things have improved, where they've stayed the same, and where they've gotten worse.
Racial bias has seen major reductions, but not everywhere
Building on the methodology of the Betrand & Mullainathan study, researchers at the University of Chicago and the University of California, Berkley submitted 83,000 fictitious job applications in order to produce A Discrimination Report Card, which graded 97 Fortune 500 companies on their rates of race and gender discrimination in entry level jobs. They discovered that applicants with black sounding names were on average 9% less likely to receive a callback than applicants with a white sounding name. But this 41% drop from 2003 isn’t the entire story, as researchers found that the majority of companies showed little racial hiring bias (3% at the lowest), while the worst offenders showed severe hiring bias (24% at the highest) that raised the average. Another wrinkle is that these numbers were largely consistent within industries:
