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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. [6]
Underrepresented groups in computing, a subset of the STEM fields, include Hispanics, and African-Americans. In the United States in 2015, Hispanics were 15% of the population and African-Americans were 13%, but their representation in the workforces of major tech companies in technical positions typically runs less than 5% and 3%, respectively ...
The racial achievement gap in the United States refers to disparities in educational achievement between differing ethnic/racial groups. [1] It manifests itself in a variety of ways: African-American and Hispanic students are more likely to earn lower grades, score lower on standardized tests, drop out of high school, and they are less likely to enter and complete college than whites, while ...
The National Center for Science and Engineering Statistics (NCSES) is a principal agency of the Federal Statistical System of the United States that serves as a clearinghouse for collecting, interpreting, analyzing, and disseminating objective statistical data on the United States and other nations’ science and engineering enterprises. [3]
According to UNESCO statistics, 30% of the Sub-Saharan tech workforce are women; this share rose to 33.5 percent in 2018. [ 70 ] [ 67 ] South Africa features among the top 20 countries in the world for the share of professionals with skills in artificial intelligence and machine learning, with women representing 28 percent of these South ...
SBA 7(a) loans: Race and gender statistics. Key statistics. In the 2023 fiscal year, the SBA approved $27,515,666,000 in SBA 7(a) funding to businesses. ... Since 2018, about 35 percent of 504 ...
2018 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) (IEEE, 2018). Yamaguchi, Ryoko, and Jamika D. Burge. "Intersectionality in the narratives of black women in computing through the education and workforce pipeline." Journal for Multicultural Education (2019).
The reasons range from peer pressure to a lack of role models and support to a general misperception of what STEM careers look like in the real world." [10] In a 2015 study across undergraduate students in computer science on gender and race identified factors over time that have contributed to the gender disparity in computing.