JOURNAL ARTICLE

Weeks After the Raid: The Immediate and Sustained Changes in Student Attendance Rates Following Immigration Arrests.

  • Published In: Educational Evaluation & Policy Analysis, 2025, v. 47, n. 4. P. 1219 1 of 3

  • Database: Education Source Ultimate 2 of 3

  • Authored By: Kirksey, J. Jacob 3 of 3

Abstract

This article examines the immediate and sustained impacts of immigration enforcement actions—specifically immigration arrests—on student absenteeism in a predominantly Latinx school district in California between 2014 and 2018. Using weekly attendance data and a unique dataset of immigration arrests compiled from local media, the study employs interrupted time series and comparative interrupted time series analyses to show that weeks with large-scale immigration arrests correspond to significant spikes in absenteeism, with declines up to 10 percentage points among Latinx, socioeconomically disadvantaged, English learner, migrant, and disabled students. The findings highlight that these attendance declines are not only immediate but can accumulate over time, resulting in a sustained reduction in overall attendance rates, which has implications for educational equity, school funding, and policy accountability measures such as those under the Every Student Succeeds Act. The study underscores the need for educators and policymakers to recognize immigration enforcement as a form of community violence that disrupts student engagement and calls for targeted support and reconsideration of funding and accountability policies affecting vulnerable student populations.

Additional Information

  • Source:Educational Evaluation & Policy Analysis. 2025/12, Vol. 47, Issue 4, p1219
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2025
  • ISSN:01623737
  • DOI:10.3102/01623737241288838
  • Accession Number:189408674
  • Copyright Statement:Copyright of Educational Evaluation & Policy Analysis is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.