Chronic Absenteeism Data

Analyze school-level chronic absenteeism data across 24 states to identify attendance gaps and recovery trends.

Data chart showing chronic absenteeism data on display

Sample insights

Explore sample findings from school-level chronic absenteeism data.

Chronic Absenteeism Trend Chart
National chronic absenteeism rates peaked in 2022 following COVID-19 disruptions and remain above pre-pandemic levels in many schools, particularly at the high school level.
Chronic Absenteeism by Region Chart
Chronic absenteeism rates vary significantly across states, districts, and communities, highlighting the importance of localized school and neighborhood context.
Chronic Absenteeism Data by Demographics chart
Chronic absenteeism rates are substantially higher among some student populations, including economically disadvantaged and housing-insecure students.

Dataset overview

This dataset measures the percentage of students who miss 10% or more of the school year. With data available beginning in 2014, organizations can analyze attendance trends, identify disparities across student populations, and better understand how engagement changes over time.

Coverage

24 states

Delivery

Bulk data file

Source

State reported data

Available data

  • Coverage and availabilty

    Coverage includes more than 55,000 public schools across 24 states, with historical data beginning in 2014.

  • School-level absenteeism rates

    Annual chronic absenteeism rates reported at the individual school level.
  • Historical trend data

    Longitudinal data for analyzing year-over-year changes, including post-pandemic attendance recovery.
  • Demographic breakdowns

    Attendance data segmented by student groups, including economic disadvantage, race/ethnicity, housing status, and English learner status.
  • Geographic analysis

    State, district, and regional comparisons to identify localized attendance patterns and disparities.

What it can reveal

  • Longitudinal trends

    Measure attendance changes over time, including COVID-era disruptions and uneven recovery across grade levels.
  • Demographic disparities

    Identify differences in chronic absenteeism across student populations and communities.
  • Geographic variation

    Compare absenteeism patterns across states, districts, and local regions.

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