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 (student body composition by income) is a measurement for a key indicator, “(School and Workplace Socioeconomic Diversity),” and measures whether individuals are exposed to socioeconomic diversity within their schools, postsecondary institutions, and workplaces.
Pre-K/K12/PS - Student body composition by income
Calculating a Response:
Use the following CEDS elements to determine the school year for which the data will be measured for Pre-K students:
1. Early Learning Program Year = most recent school year, representing July 1 through June 30
Use the following CEDS elements to determine the universe of children:
1. Pull all unique children which is determined by using a unique Person Identifier where Has Person Identifier Type = Child Identifierand Has Person Identification System = State
2. Where the child:
a. 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
b. 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
c. is associated with a Pre-K school through the Organization Identifier where Has Organization Identification System = SEA or LEA or School and Has Organization Identifier Type = School Identifier
d. Has Role = EL Child
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 K12 students:
1. 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
2. Where the Student:
a. 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
b. 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
c. 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
d. Has Role = K12 Student
Use the following CEDS elements to determine the school year for which the data will be measured for postsecondary students:
1. Academic Year Designator = most recent school year, representing July 1 through June 30
Use the following CEDS elements to determine the universe of postsecondary students:
1. 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
2. Where the Student:
a. is associated with a Postsecondary Institution through the Organization Identifier where the Organization Identifier Type = Office of Postsecondary Education Identifier
b. Has Role = PS Student
From the universe of children and 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 = Prekindergarten (PK) for Pre-K students, Kindergarten (KG) through Twelfth grade (12) for K12 students and Postsecondary (PS) for Postsecondary students
From the universe of children and students, assign the children and students to income categories based on their family income:
1. Family Income
Calculation Instructions for Pre-K:
- Assign each child to an income category
- Count the number of children in each income category
- Divide each category count by the total children
- Express results as percentages (Multiply by 100)
Repeat the steps above for both K12 and Postsecondary