---
title: "Racial diversity and discrimination in STEM fields"
chunk: 1/3
source: "https://en.wikipedia.org/wiki/Racial_diversity_and_discrimination_in_STEM_fields"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T04:20:51.950148+00:00"
instance: "kb-cron"
---

According to the National Science Foundation (NSF), women and racial minorities are underrepresented in science, technology, engineering, and mathematics (STEM). Scholars, governments, and scientific organizations from around the world have noted a variety of explanations contributing to this lack of racial diversity, including higher levels of discrimination, implicit bias, microaggressions, chilly climate, lack of role models and mentors, and less academic preparation.

== Race imbalance in STEM in the United States ==

Racial minorities, with the exception of Asian Americans, are underrepresented through every stage of the STEM pipeline.

=== Education and degree attainment ===
Racial disparities in high school completion are a prominent reason for racial imbalances in STEM fields. While only 1.8% of Asian and 4.1% of White students drop out of high school, 5.6% of Black, 7.7% of Hispanic, 8.0% of Pacific Islander, and 9.6% of American Indian/Alaskan Native students drop out of high school. Among those that graduate high school, 67% of Whites, 62% of Blacks, and 69% of Hispanics enroll in a “degree granting college.” While there is no measurable difference in college enrollment of White, Black, and Hispanic STEM students, only 15% of Black students who initially enrolled in a STEM major received a STEM bachelor's degree at graduation, compared to 30% of White and Asian students.

=== Employment, occupation, and income ===

According to the National Science Board, which provides statistical data on the U.S. labor force, Asians represent 9%, Whites 65%, Hispanics 14%, and Blacks 9% of the STEM labor force. In particular, white men are 49% of the STEM labor force. Among different STEM fields, Blacks make up only 4% of life science, 5% of engineering, 6% of physical sciences, 7% of the computer science, 9% of math and 11% of health-related sciences. There are also significant wage gaps between women, men, and people of color, especially in STEM jobs. An example of this disadvantage is the gender pay gap and racial pay gap in computer science fields, where women earn about 74% of what men earn and the median income for White workers is approximately 23.3% more than the median income for Blacks. The gender and racial pay gaps in STEM fields are significantly greater than all regular non-STEM jobs with an even greater pay gap between these gender, racial, and ethnic groups. When first being hired, 35% of women of color reported negotiating their salaries, but nearly 50% wished that they had negotiated their salary after starting the job. Many of these women reported being initially satisfied with the salary they had been offered when being hired, but later learned that they were earning much less than other workers at their same level.

=== Effects of under-representation of people of color in STEM ===
Among Black workers in STEM fields, 57% feel that there too little attention being directed toward adding more racial and ethnic diversity in the workplace. This lack of diversity contributes to isolation and a lack of social support in the workplace which can increase anxiety and depression for many people of color in STEM. Black scientists have been at the forefront of some of the most important scientific breakthroughs,  from the creation of the GPS to the first successful treatment of leprosy, yet they were denied credit for the discovery, blocked from academic positions, and away from their respective fields due to racial discrimination at the time.

== Explanations for the under-representation for people of color ==
Recently, scholars have begun applying the framework of systemic racism to explain the experiences of racial minorities in STEM. Specifically, research indicates that people of color, especially blacks, experience higher levels of discrimination, incur various microaggressions, and a lack of overall mentorship and support in STEM.

=== Stereotypes and preconceived notions of STEM ===
Scientific racism  of the late 19th and early 20th centuries attempted to identify biological, intellectual, and physiological differences among races. Lasting effects of the scientific racism include racial stereotypes about students of color and preconceived notions of STEM as predominantly a white, male field. A study highlighting the underrepresentation of women and racial minorities in STEM found that Asian and White candidates were viewed as more competent and hirable than Black and Latino/a candidates. Similarly, survey results from this study show that students were much more likely to recognize and name white male STEM professionals than Black or women STEM professionals. Additionally, students of color on college campus often face prevailing societal misconceptions and assumptions that they are affirmative action beneficiaries, on sport scholarships, and/or “at-risk” students. Students of color additionally must contend with stereotype threat that has been found to lower academic achievement. In particular, high-achieving Black students, attempting to combat prevailing stereotypes about their lack of intelligence, while Asian students combat the prevailing model minority stereotype presuming they are biologically predisposed to mathematical ability.

=== Stem identity ===
The development of a STEM identity increases the overall likelihood that a student will continue to develop scientific literacy and pursue a STEM career. The National Research Council's 2009 report describes students developing STEM identities as learning to “think about themselves as science learners and develop[ing] an identity as someone who knows about, uses and sometime[s] contributes to science.” Black girls are less likely to develop STEM identities in middle school because they have fewer science-related experiences outside of school and less confidence in their scientific ability than Asian-American, Latina, and White middle school girls, making them less likely to enter STEM fields in the future. Additionally, research demonstrates that beyond first-hand experience with science, societal norms, stereotypes, and interactions with peers, teachers, and family contribute to the development of a STEM identity.