School-Based Metrics Dashboards 2021

This is a Tableau re-VISIONing of the unique CS education metrics published previously in this blog. All of these statistics are based on data provided in the 2021 State of CS education report published by Code.org, CSTA, and the ECEP Alliance and data on the 2021 AP CS exams from Barbara Ericson’s Computing for Everyone blog.

Note that previous the metrics previously published on the 2020-21 school year used combined AP CS exam data from the 2018-19 and 2019-20 school years. However, as AP data for 2020-21 became available in Fall 2022, these re-VISIONS use this cleaner and better synchronized data instead.

This blog post focuses on the following school-based metrics:

Metric	Definition	2021 Nat Avg	Interpretation
Poor/Rich HS with CS Relative Strength	% schools with FRL > 50% offering CS / % schools with FRL < 50% offering CS	76.5%	Schools with FRL > 50% are 23.5% less likely to offer CS than schools with FRL < 50%
Rural/Urban HS with CS Relative Strength	% schools in Town or Rural offering CS / % schools in Urban or Suburban offering CS	88.4%	Town/Rural schools are 11.6% less likely to offer CS than Urban/Suburban schools
Have Not/Have HS Size Ratio	Avg size of HS that does not offer CS / Avg size of HS that offers CS	30.9%	High schools without CS are 30.9% the size of schools with CS

For more information on how to interpret these metrics, please visit the blog post Revisiting the CS HS: Bigger, Faster, and More Suburban this is the rich poor metric

Two other school-based metrics appearing in the 2021 CS Education State Scorecards are % HS with CS and % Students in HS with CS. Both of these metrics are covered in great detail in the 2021 State of CS education report and are not included below.