General Connection Information
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CEDS elements are shown in bold/italicized font.
This metric is part of the Education-to-Workforce (E-W) Indicator Framework, specifically "Outcomes and milestones" which pertain to key outcomes and milestones along the E-W continuum that are strongly associated with individuals achieving economic mobility and security.
This metric is a measurement for a key indicator, "Enrollment in public pre-K," and measures whether eligible 3 and 4 year olds are enrolled in public pre-K.
Calculating a Response
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Percentage of eligible 3 and 4 year olds enrolled in public pre-K
Use the following CEDS elements to determine the year for which the data will be measured:
1. Early Learning Program Year = most recent early learning program 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 Child Identifier where Child Identification System = State
2. Where the child:
a. is associated with a State Education Agency through the State Education Agency System = State
b. is associated with a Local Education Agency through the Local Education Agency Identification System = SEA
c. is associated with a K12 school through the School Identifier where School Identification System = SEA or is associated with an organization through the Organization Identifier where Organization Identification System = SEA. (If your state's early learning systems are not associated with public schools, use Organization Identifier.)
(If your state does not use a state issued identifier for the child, apply whatever matching algorithm is used to link up early childhood to K12 data.)
Identify children who are 3- and 4-years old in year x and compare them to the children that were in an Early HeadStart program the year prior to year x (for 3 year olds) or two years prior to year x (for 4 year olds).
1. From the universe of children, narrow the list to 3- and 4-year olds using the following CEDS elements:
a. 3-year olds in public pre-K
i. where Early Learning Program Year = 3 years after the Birthdate, and
ii. where Early Childhood Program Enrollment Type = Public pre-K or HeadStart.
b. Eligible 3-year olds
i. where Early Learning Program Year = Early Learning Program Year -1
ii. Where Early Childhood Program Enrollment Type = Early HeadStart
c. 4-year olds in public pre-K
i. where Early Learning Program Year = 4 years after the Birthdate, and
ii. where Early Childhood Program Enrollment Type = Public pre-K or HeadStart
d. Eligible 4-year olds
i. where Early Learning Program Year = Early Learning Program Year -2
ii. where Early Childhood Program Enrollment Type = Early HeadStart
Then,
- Add the number of 3- and 4-year olds that are enrolled in public pre-K.
- Add the number of eligible 3-year olds and 4-year olds.
- Divide the number of 3- and 4-year olds that are enrolled in public pre-K by the total number of 3- and 4-year olds, and multiply by 100.
Disaggregate by Home Language
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Use the following CEDS element(s) to disaggregate the final set of students by Home Language:
1. Language Type = Home Language, and
2. ISO 639-3 Language Code is not like English, and/or
3. English Learner Status = Yes
Disaggregate by Race and Ethnicity
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Use the following CEDS elements to disaggregate the final set of students by Race and Ethnicity:
1. Filter records where Hispanic or Latino Ethnicity = No
2. Count, by race, where any of the following are true:
a. Race = American Indian or Alaska Native
b. Race = Asian
c. Race = Black or African American
d. Race = Native American or Other Pacific Islander
e. Race = White
f. Race = Demographic Race Two or More Races
g. Race = Race and Ethnicity Unknown
Use the following CEDS element to disaggregate the final set of students by Hispanic or Latino Ethnicity:
1. Filter records where Hispanic or Latino Ethnicity - Yes
Disaggregate by Sex
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* Note: CEDS does not have a Gender element. While Sex is not a proxy for Generate, it is the closest approximation currently available.
* Note: Male + Female will not always equal 100% for states that have more choices beyond male and female.
Use the following CEDS elements to disaggregate the final set of students by Sex:
1. Sex = Male, Female, or Not Selected
Disaggregate by Disability Status
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A. Determine if there is a disability:
Student with a Disability: A student has a disability if any of the following are true:
1. Disability Status = Yes, No, and
2. IDEA Indicator = Yes, and/or
a. Program Participation Start Date = the school year being reported
b. Program Participation Exit Date = the school year being reported
3. Section 504 Status = Yes
a. Status Start Date = Enrollment Entry Date
b. Status End Date is null or = Enrollment Exit Date
Student Without a Disability: A student does not have a disability if all of the following are true:
1. Disability Status = No, and
2. Primary Disability Type is null, and
3. IDEA Indicator = No, and
4. Section 504 Status = No
B. Count the number of students with a disability and the number of students without a disability.
C. For further analysis, disaggregate the students with a disability:
1. Filter records where IDEA Indicator = Yes
a. Program Participation Start Date = the school year being reported
b. Program Participation Exit Date = the school year being reported
2. Count, by primary disability type, where any of the following are true:
a. Primary Disability Type = Autism
b. Primary Disability Type = Deaf-blindness
c. Primary Disability Type = Deafness
d. Primary Disability Type = Developmental delay
e. Primary Disability Type = Emotional disturbance
f. Primary Disability Type = Hearing impairment
g. Primary Disability Type = Intellectual disability
h. Primary Disability Type = Multiple disabilities
i. Primary Disability Type = Orthopedic impairment
j. Primary Disability Type = Other health impairment
k. Primary Disability Type = Specific learning disability
l. Primary Disability Type = Traumatic brain injury
m. Primary Disability Type = Visual impairment
Disaggregate by Urbanicity
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Use the following CEDS elements to disaggregate the final set of students by Urbanicity
*Note: Urbanicity is meant to identify the school's location, not the student's residence.
1. Rural Residency Status = Yes (indicator rural) or No (indicating urban)
Disaggregate by Parental Education Level
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Use the following CEDS element to disaggregate the final set of students by Parental Education Level:
1. Highest Level of Education Completed = Determine what the highest level of education completed is for the parents/guardians of the student.
Disaggregate by Student from Migrant Family Household
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Use the following CEDS elements to disaggregate the final set of students by migrant status:
1. Migrant Status = Yes, No
2. Program Participation Start Date = the school year being reported
3. Program Participation Exit Date = the school year being reported
Disaggregate by English Learner
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Use the following CEDS elements to disaggregate the final set of students by English Learner:
1. English Learner Status = Yes, No
2. Program Participation Start Date = the school year being reported
3. Program Participation Exit Date = the school year being reported
Disaggregate by Attendance Intensity
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Use the following CEDS element to disaggregate the final set of students by Attendance Intensity:
1. Early Learning Enrollment Status = Half-day pre-K, Full-day pre-K
Disaggregate by Age Group
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Use the following CEDS element to disaggregate the final set of students by Age Group:
1. Birthdate = Age as of October 1 of the school year being reported
Disaggregate by Income Level
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Use the following CEDS elements to disaggregate the final set of students by Income Level:
1. Eligibility Status for School Food Service Programs = Free, Full price, Reduced price, Other
2. Low-income Status = Yes, or No
3. Family Income
4. Income Calculation Method = Head Start Calculation or State Specific Calculation
Disaggregate by Individual or Family Military Status
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Use the following CEDS elements to disaggregate the final set of students by Individual or Family Military Status:
1. Military Connected Student Indicator = Not Military, Active Duty, National Guard or Reserve, or Unknown
Disaggregate by Individual with Current or Past Child Welfare Involvement
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Use the following CEDS elements to disaggregate the final set of students by Individual with Current or Past Child Welfare Involvement:
1. Program Type = 75000 (Foster Care)
2. Student Support Service Type = 00295 (Children's Protective Services)
3. Program Participation Start Date = the school year being reported
4. Program Participation Exit Date = the school year being reported
Disaggregate by Homelessness
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Use the following CEDS elements to disaggregate the final set of students by Homelessness:
1. Homelessness Status = Yes, No
2. Status Start Date = the school year being reported
3. Status End Date = the school year being reported