Below is a list of key research related to State & Local Chronic Absence Reports

For the full list of research and reports, please visit the All Research page.

A Statewide Profile of Child Well-Being

During the 2014-15 school year, 12 percent of New Jersey’s children missed too much school. Economically disadvantaged students and students in special education were more likely to be chronically absent, with a rate of 17 and 18 percent, respectively. Among racial groups, black and Hispanic children had absenteeism rates higher than the state average.
Published:   November 2017

American Indian/Alaska Native Students in Oregon

The Oregon Department of Education released a report showing that 30 percent of American Indian/Alaska Native students were considered to be chronically absent in the 2014-15 and 2015-16 school years, compared to 17 percent of Non-Native student in 2014-15 and 19 percent in 2015-16. A. As the 2017 report, American Indian/Alaska Native Students in Oregon: A Review of Key Indicators…
Published:   November 2017

AttendaNCe Counts

NC Early Childhood Foundation, September 2017. The brief, AttendaNCe Counts, provides chronic absence rates in North Carolina, examines the chronic absenteeism policies and practices in the state, and offers recommendations for next steps.
Published:   September 2017

Attendance Matters: White Paper on Chronic Absenteeism in San Antonio Schools

P16Plus Council of Greater Bexar County. This study revealed both the scope of chronic absence and the impact of interventions involving more than 5,000 students, finding that 12.8 percent of the students were chronically absent. Nearly a quarter of 12th graders missed that much school, with girls missing more school than boys in their final year. As much as 24…
Published:   August 2015

Chronic Absence in Utah Public Schools

Utah Education Policy Center at the University of Utah. In 2012, the researchers released a brief to highlight their important findings on chronic absence and its effects in Utah. The study of five years of attendance data emphasizes the need for early identification of students who are chronically absent, and identified chronic absenteeism as a key predictor of dropouts as…
Published:   July 2012
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