This metric is part of the Education-to-Workforce (E-W) Indicator Framework, specifically “E-W system conditions” which pertain to institutional or systemic environments, policies, and practices within E-W systems that support positive E-W outcomes.
This metric (Educational staff composition by race and ethnicity (%) compared to student composition by race and ethnicity (%)) is a measurement for a key indicator, “(Representational Racial and Ethnic Diversity of Educators),” and measures whether educators reflect the racial and ethnic diversity of the student body.
K12 - Educational staff composition by race and ethnicity (%) compared to student composition by race and ethnicity (%)
Calculating a Response:
Use the following CEDS elements to determine the school year for which the data will be measured for K12 students:
1. School Year = most recent school year, representing July 1 through June 30
Use the following CEDS elements to determine the universe of students:
- Pull all unique students which is determined by using a unique Person Identifier where Has Person Identifier Type = Student Identifierand Has Person Identification System = State
- Where the Student:
- is associated with a State Education Agency through the Organization Identifier where Has Organization Identification System = SEA and Has Organization Identifier Type = State Agency Identifier
- is associated with a Local Education Agency through the Organization Identifier where Has Organization Identification System = SEA or LEA and Has Organization Identifier Type = Local Education Agency Identifier
- is associated with a K12 school through the Organization Identifier where Has Organization Identification System = SEA or LEA or School and Has Organization Identifier Type = School Identifier
- Has Role = K12 Student
From the universe of students, identify which grade each student is currently enrolled in using the following CEDS elements:
1. Enrollment Entry Date is ≥ July 1 of the school being reported
2. Enrollment Exit Date is ≤ June 30 of the school year being reported
3. Entry Grade Level = Kindergarten (KG) through Twelfth grade (12)
Use the following CEDS elements to determine the universe of K12 Educational Staff:
- Pull all unique K12 Educational Staff which is determined by using a unique Person Identifier where Has Person Identifier Type = Staff Member Identifier and Has Person Identification System = State
- Where the K12 Educational Staff:
- is associated with a State Education Agency through the Organization Identifier where Has Organization Identification System = SEA and Has Organization Identifier Type = State Education Agency Identifier
- is associated with a Local Education Agency through the Organization Identifier where Has Organization Identification System = SEA or LEA and Has Organization Identifier Type = Local Education Agency Identifier
- is associated with a K12 school through the Organization Identifier where Has Organization Identification System = SEA or LEA or School and Has Organization Identifier Type = School Identifier
- Has Role = K12 Staff
- K12 Staff Classification = Elementary Teachers, Kindergarten Teachers, Secondary Teachers, Paraprofessionals, Special Education Teachers, Student Support Services Staff, Ungraded Teachers, School Administrative Support Staff, School Administrators, School Counselors, Administrative Support Staff, Administrators, or any other classification that is applicable.
From the universe of students and educational staff, identify which students and educational staff fall within each race and ethnicity category using the following CEDS elements:
- Disaggregate by Race and Ethnicity for students and for educational staff.
Calculation Instructions:
For each race/ethnicity group:
- Divide the number of students in a group by the total number of students. Multiply by 100.
- Divide the number of educational staff in a group by the total number of educational staff. Multiply by 100.
- Report student and educational staff percentages side by side by race and ethnicity group.
(States or districts may optionally calculate a representation ratio. Ex: Educational staff percentage divided by the student percentage)