Detailed data uncovers new stories, reveals gaps in CS access and participation

To take a step further, we’ve begun to disaggregate the race and ethnicity data we shared in the recent 2020 State of Computer Science Education: Illuminating Disparities report, and we’ve taken deep dives into intersectional data on male and female students from four underrepresented groups in computer science in this new intersectional data report.

Intersectionality data shows gaps in participation of older students

The numbers of women and students from underrepresented racial and ethnic groups earning CS degrees are increasing, but a closer look reveals that not all gains within these groups are equal. (Note: in this graph, “URG” includes both male and female students.)
The percentage of degrees earned by white women is decreasing, while the percentage of CS degrees earned by Asian women is rising. These two groups account for the bulk of CS degrees earned by women.
Just like for white women, the percentage of degrees earned by white men have also dropped, but this group still earns the majority of CS degrees.
While the trends show improvement, with 29% of participation in the AP CS exam by young women overall, there is still significant work to be done to spur growth and reach parity with young men. (Note: “Native Hawaiian” was not recognized as a demographic category until 2016.)

Disaggregation of K-12 data uncovers gaps as well as encouraging trends

  • 1.3% of students are Native American or Alaskan (0.6% female and 0.7% male).
  • 21.2% of students are Black or African American (10.2% are female, and 11% are male).
  • 21% of students are Hispanic, Latino or Latina (10.1% are female and 10.8% are male).
  • 0.9% of students are Native Hawaiian or Pacific Islander (0.42% are female, 0.48% are male).
  • 42.7% of students are white (19.7% are female and 22.9% are male).
  • 5.9% of students are Asian (2.7% are female and 3.2% are male).
The racial and ethnic makeup of students on Code.org based on 2020 data. (*Two or more races/ethnicities includes students from more than one racial/ethnic group—Black/African American, Hispanic/Latino/Latina/Latinx, Native American/Alaskan, and Native Hawaiian/Pacific Islanders).

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Code.org® is dedicated to expanding access to computer science increasing participation by young women and students from other underrepresented groups.

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Code.org® is dedicated to expanding access to computer science increasing participation by young women and students from other underrepresented groups.

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