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Grade-Level Retention Data, 2017-18

Accountability Research home » Grade-Level Retention » Data Search: Year » Level

The links below provide access to grade-level retention data for Grades K-12 by race/ethnicity, gender, economic status, program participation (bilingual, career and technical education, English as a second language, gifted and talented, special education, and Title I) and other student characteristics (at-risk, dyslexia, English learner, foster care, homeless, immigrant, migrant, military-connected, and overage). The Division of Research and Analysis masks some data to comply with federal regulations concerning student privacy, the Family Educational Rights and Privacy Act (FERPA).

Definition

Comparing a student's grade level in the spring of one school year to the student's grade level in the fall of the next school year determines grade-level retention. The grade-level retention rate for 2017-18 is the percentage of students who attended in 2017-18 and were retained in grade in the fall of 2018. The grade-level retention rate equation is:

Grade-level retention rate equals the number of students enrolled in the same grade from one school year to the next divided by the number of students enrolled from one school year who return the next

For more information on the retention rate calculation, please see Grade-Level Retention in Texas Public Schools, 2017-18.

Data Search

Select from the following to view or download a report for a statewide report or a single campus, district, or education service center (ESC) region:

Campus
District
ESC Region
State

Data Download

The Excel (.xlsx) files below include grade-level retention data by race/ethnicity, gender, economic status, and other student groups (e.g., at-risk and English learners) for all campuses, districts, or counties in the state. Each file includes three worksheets that can be accessed using the tabs at the bottom of the workbook. In addition to the dataset, each workbook also provides an overview of the data as well as a data dictionary that defines the variable names in the dataset. To download an Excel file, please click one of the following links:

Campus-level data
District-level data
County-level data

Contact Information

For questions or comments, please email the Division of Research and Analysis, or contact the division by phone at 512-475-3523.

This page last updated October 2019

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