91 datasets found
  1. d

    2016-17 - 2020-21 District End-of-Year Attendance and Chronic Absenteeism...

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2016-17 - 2020-21 District End-of-Year Attendance and Chronic Absenteeism Data [Dataset]. https://catalog.data.gov/dataset/2016-17-2020-21-district-end-of-year-attendance-and-chronic-absenteeism-data
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Overall attendance data include students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Schools & Programs), charter schools, home schooling, and home and hospital instruction are excluded. Pre-K data do not include NYC Early Education Centers or District Pre-K Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K. Transfer schools are included in citywide, borough, and district counts but removed from school-level files. Attendance is attributed to the school the student attended at the time. If a student attends multiple schools in a school year, the student will contribute data towards multiple schools. Starting in 2020-21, the NYC DOE transitioned to NYSED's definition of chronic absenteeism. Students are considered chronically absent if they have an attendance of 90 percent or less (i.e. students who are absent 10 percent or more of the total days). In order to be included in chronic absenteeism calculations, students must be enrolled for at least 10 days (regardless of whether present or absent) and must have been present for at least 1 day. The NYSED chronic absenteeism definition is applied to all prior years in the report. School-level chronic absenteeism data reflect chronic absenteeism at a particular school. In order to eliminate double-counting students in chronic absenteeism counts, calculations at the district, borough, and citywide levels include all attendance data that contribute to the given geographic category. For example, if a student was chronically absent at one school but not at another, the student would only be counted once in the citywide calculation. For this reason, chronic absenteeism counts will not align across files. All demographic data are based on a student's most recent record in a given year. Students With Disabilities (SWD) data do not include Pre-K students since Pre-K students are screened for IEPs only at the parents' request. English language learner (ELL) data do not include Pre-K students since the New York State Education Department only begins administering assessments to be identified as an ELL in Kindergarten. Only grades PK-12 are shown, but calculations for "All Grades" also include students missing a grade level, so PK-12 may not add up to "All Grades". Data include students missing a gender, but are not shown due to small cell counts. Data for Asian students include Native Hawaiian or Other Pacific Islanders . Multi-racial and Native American students, as well as students missing ethnicity/race data are included in the "Other" ethnicity category. In order to comply with the Family Educational Rights and Privacy Act (FERPA) regulations on public reporting of education outcomes, rows with five or fewer students are suppressed, and have been replaced with an "s". Using total days of attendance as a proxy , rows with 900 or fewer total days are suppressed. In addition, other rows have been replaced with an "s" when they could reveal, through addition or subtraction, the underlying numbers that have been redacted. Chronic absenteeism values are suppressed, regardless of total days, if the number of students who contribute at least 20 days is five or fewer. Due to the COVID-19 pandemic and resulting shift to remote learning in March 2020, 2019-20 attendance data was only available for September 2019 through March 13, 2020. Interactions data from the spring of 2020 are reported on a separate tab. Interactions were reported by schools during remote learning, from April 6 2020 through June 26 2020 (a total of 57 instructional days, excluding special professional development days of June 4 and June 9). Schools were required to indicate any student from their roster that did not have an interaction on a given day. Schools were able to define interactions in a way that made sense for their students and families. Definitions of an interaction included: • Student submission of an assignment or completion of an

  2. c

    Chronic Absenteeism - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 20, 2016
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    (2016). Chronic Absenteeism - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/chronic-absenteeism
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    Dataset updated
    Mar 20, 2016
    Description

    Chronic Absenteeism reports the percentage of chronically absent students during a school year, per subgroup.

  3. c

    Chronic Absenteeism by Gender - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 15, 2020
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    (2020). Chronic Absenteeism by Gender - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/chronic-absenteeism-by-gender
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    Dataset updated
    Mar 15, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Chronic Absenteeism reports the percentage of chronically absent students during a school year, per gender. Domain

  4. c

    Chronic Absenteeism by All Students - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 15, 2020
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    (2020). Chronic Absenteeism by All Students - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/chronic-absenteeism-by-all-students
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    Dataset updated
    Mar 15, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A student is chronically absent if he/she misses ten percent or greater of the total number of days enrolled in the school year for any reason. Pre-Kindergarten students are excluded from this calculation. Connecticut State Department of Education collects annual data for grades K through 12, based on June reports of attendance. Charter Districts have been entered as individual districts. For the 2019-20 school year, chronic absenteeism calculations are based only on in-person school days until mid-March 2020.

  5. W

    Chronic Absenteeism in VA schools for year 2022 - 2023

    • opendata.winchesterva.gov
    • data.virginia.gov
    xlsx
    Updated Jul 29, 2024
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    Virginia State Data (2024). Chronic Absenteeism in VA schools for year 2022 - 2023 [Dataset]. https://opendata.winchesterva.gov/dataset/chronic-absenteeism-in-va-schools-for-year-2022-2023
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 29, 2024
    Dataset provided by
    Department of Education
    Authors
    Virginia State Data
    Area covered
    Virginia
    Description

    Chronic absenteeism is calculated using a three-step process. First, a student's end-of-year membership is determined by dividing the student’s total days present, absent, and unscheduled by the total days in session for a given school. If the student's average daily membership is 50 percent or greater in a given school year, the student is included in the school’s chronic absenteeism calculation. Next, a student is determined to be chronically absent if the rate of their days absent divided by their total days in membership is greater than or equal to 10 percent. Lastly, to determine the school chronic absenteeism rate, the number of students that are absent 10 percent or more is divided by the total number of students with membership greater than or equal to 50 percent of a school’s end-of-year membership.

  6. V

    Chronic Absenteeism in VA schools for year 2020 - 2021

    • data.virginia.gov
    • opendata.winchesterva.gov
    xlsx
    Updated Jul 29, 2024
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    Department of Education (2024). Chronic Absenteeism in VA schools for year 2020 - 2021 [Dataset]. https://data.virginia.gov/dataset/chronic-absenteeism-in-va-schools-for-year-2020-2021
    Explore at:
    xlsx(4311499)Available download formats
    Dataset updated
    Jul 29, 2024
    Dataset authored and provided by
    Department of Education
    Description

    Chronic absenteeism is calculated using a three-step process. First, a student's end-of-year membership is determined by dividing the student’s total days present, absent, and unscheduled by the total days in session for a given school. If the student's average daily membership is 50 percent or greater in a given school year, the student is included in the school’s chronic absenteeism calculation. Next, a student is determined to be chronically absent if the rate of their days absent divided by their total days in membership is greater than or equal to 10 percent. Lastly, to determine the school chronic absenteeism rate, the number of students that are absent 10 percent or more is divided by the total number of students with membership greater than or equal to 50 percent of a school’s end-of-year membership.

  7. O

    Chronic Absenteeism

    • data.oaklandca.gov
    application/rdfxml +5
    Updated Jul 13, 2018
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    OUSD Data Dashboard (2018). Chronic Absenteeism [Dataset]. https://data.oaklandca.gov/Equity-Indicators/Chronic-Absenteeism/5d4q-57a4
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    application/rssxml, json, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset authored and provided by
    OUSD Data Dashboard
    Description

    The measurement is percent of children within OUSD who are chronically absent. Chronic absence is defined as an attendance rate of 90% or less (missing 18 or more days in a 180 day school year), regardless of whether the absences are excused or unexcused. It is not the same as Truancy. Alternative Education schools are not included in the data.

  8. d

    Student Absenteeism

    • catalog.data.gov
    Updated Sep 1, 2023
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    Office for Civil Rights (OCR) (2023). Student Absenteeism [Dataset]. https://catalog.data.gov/dataset/student-absenteeism-b0fcc
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    Dataset updated
    Sep 1, 2023
    Dataset provided by
    Office for Civil Rights (OCR)
    Description

    This Excel file contains data on chronic student absenteeism - students absent 15 or more days during the school year - for all states. The file contains three spreadsheets: total students, male students, and female students.

  9. Pupil absence in schools in England: 2018 to 2019

    • gov.uk
    Updated Mar 26, 2020
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    Department for Education (2020). Pupil absence in schools in England: 2018 to 2019 [Dataset]. https://www.gov.uk/government/statistics/pupil-absence-in-schools-in-england-2018-to-2019
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    Dataset updated
    Mar 26, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    This release provides information on the levels of overall, authorised and unauthorised absence in:

    • state-funded primary schools
    • state-funded secondary schools
    • state-funded special schools

    It includes information on:

    • reasons for absence
    • persistent absentees
    • pupil characteristics
    • absence information for pupil referral units
    • absence by term

    The information is based on pupil level absence data collected via the School Census.

    It updates and supplements information published in the October 2019 release - Pupil absence in schools in England, autumn 2018 and spring 2019.

    A guide on how we produce pupil absence statistics is also available.

    School census statistics team

    Email mailto:schools.statistics@education.gov.uk">schools.statistics@education.gov.uk

    Telephone: Mark Pearson 0370 000 2288

  10. Share of U.S. children with health-related chronic school absenteeism, 2022,...

    • ai-chatbox.pro
    • statista.com
    Updated Nov 4, 2024
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    Statista Research Department (2024). Share of U.S. children with health-related chronic school absenteeism, 2022, by age [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F3816%2Fchildren-s-health-in-the-us%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Nov 4, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2022, around 5.8 percent of children in the U.S. experienced chronic school absenteeism in the past 12 months due to health-related problems. This statistic depicts the percentage of children in the United States aged 5 to 17 who faced chronic school absenteeism due to health-related issues in the past 12 months in 2022, by age group.

  11. Pupil absence in schools in England: autumn term 2018

    • gov.uk
    Updated May 30, 2019
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    Department for Education (2019). Pupil absence in schools in England: autumn term 2018 [Dataset]. https://www.gov.uk/government/statistics/pupil-absence-in-schools-in-england-autumn-term-2018
    Explore at:
    Dataset updated
    May 30, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    This release provides information on the levels of overall, authorised and unauthorised absence in:

    • state-funded primary schools
    • state-funded secondary schools
    • state-funded special schools

    It includes information on:

    • reasons for absence
    • persistent absence
    • absence information for pupil referral units

    The release uses pupil-level absence data that we collect in the school census.

    A guide on how we produce pupil absence statistics is also available.

    School census statistics team

    Email mailto:schools.statistics@education.gov.uk">schools.statistics@education.gov.uk

    Telephone: Mark Pearson 0370 000 2288

  12. V

    Chronic Absenteeism in VA schools for year 2019 - 2020

    • data.virginia.gov
    • opendata.winchesterva.gov
    xlsx
    Updated Jul 29, 2024
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    Department of Education (2024). Chronic Absenteeism in VA schools for year 2019 - 2020 [Dataset]. https://data.virginia.gov/dataset/chronic-absenteeism-in-va-schools-for-year-2019-2020
    Explore at:
    xlsx(4368753)Available download formats
    Dataset updated
    Jul 29, 2024
    Dataset authored and provided by
    Department of Education
    Description

    Chronic absenteeism is calculated using a three-step process. First, a student's end-of-year membership is determined by dividing the student’s total days present, absent, and unscheduled by the total days in session for a given school. If the student's average daily membership is 50 percent or greater in a given school year, the student is included in the school’s chronic absenteeism calculation. Next, a student is determined to be chronically absent if the rate of their days absent divided by their total days in membership is greater than or equal to 10 percent. Lastly, to determine the school chronic absenteeism rate, the number of students that are absent 10 percent or more is divided by the total number of students with membership greater than or equal to 50 percent of a school’s end-of-year membership.

  13. Pupil absence in schools in England: autumn 2023 and spring 2024

    • gov.uk
    Updated Oct 17, 2024
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    Department for Education (2024). Pupil absence in schools in England: autumn 2023 and spring 2024 [Dataset]. https://www.gov.uk/government/statistics/pupil-absence-in-schools-in-england-autumn-2023-and-spring-2024
    Explore at:
    Dataset updated
    Oct 17, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    Absence statistics relating to the autumn term 2023 and spring term 2024.

    This release provides information on the levels of overall, authorised and unauthorised absence in state-funded:

    • primary schools
    • secondary schools
    • special schools

    It includes:

    • reasons for absence
    • absence by pupil characteristic
    • rates of persistent and severe absence

    We have presented information separately on absence levels in state funded alternative provision, including pupil referral units.

    The release uses pupil-level absence data that we collect in the school census.

  14. a

    Chronic absenteeism

    • hub.arcgis.com
    Updated Dec 18, 2019
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    Metro (2019). Chronic absenteeism [Dataset]. https://hub.arcgis.com/maps/35208bd7105a45218d7c7c3ec3e2b654
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    Dataset updated
    Dec 18, 2019
    Dataset authored and provided by
    Metro
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    School-level absenteeism rate for total population of a school; symbolized as either above or below the state average of 20.5%. Popups include details by race with a column chart. Absenteeism data is sourced from the Oregon Department of Education (ODE) and converted for map display: https://www.oregon.gov/ode/reports-and-data/students/Pages/Attendance-and-Absenteeism.aspx. The statistics for each school were merged into a single row transposing the rate of absenteeism by race to columns. School data and all other reference layers are from Metro RLIS.According to ODE: Students are included in this report if they were attending the school or district in listed on May 1, 2019, and were enrolled in that school or district for a total of 75 or more days.Students are considered "Chronically Absent" if they attended 90% or fewer of their enrolled days between the beginning of the 2018-19 school year and May 1, 2019. This category is calculated by subtraction based on the Regular Attenders counts and rates.Data are suppressed with *, <5, or >95 where applicable in order to protect student confidentiality.

        * : This student group contains 9
    

    or fewer students, or the percentage was suppressed.

        <5: This student group contains
    

    more than 9 students, and fewer than 5% of them were regular attenders.

        >95: This student group contains
    

    more than 9 students, and more than 95% of them were regular attenders.

  15. W

    Secondary school persistent absence rate (15% absence) (recorded over 6...

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    csv
    Updated Jan 6, 2020
    + more versions
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    United Kingdom (2020). Secondary school persistent absence rate (15% absence) (recorded over 6 terms) (relates to prev academic year to financial year shown) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/kpi-87a
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 6, 2020
    Dataset provided by
    United Kingdom
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Secondary school persistent absence rate (15% absence) (recorded over 6 terms) (relates to prev academic year to financial year shown)

    *This indicator is discontinued

  16. w

    Chronic Absenteeism by District: 2011-12

    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Oct 31, 2014
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    State of Connecticut (2014). Chronic Absenteeism by District: 2011-12 [Dataset]. https://data.wu.ac.at/odso/data_gov/ODI2ZjAzYWQtMmMxNS00M2ZkLThmNzAtZGM0MWUyN2U1Zjkw
    Explore at:
    json, xml, rdf, csvAvailable download formats
    Dataset updated
    Oct 31, 2014
    Dataset provided by
    State of Connecticut
    Description

    Chronic absenteeism is defined as missing 10 percent or more of the days enrolled in a school year for any reason. Commonly reported aggregate attendance measures such as average daily attendance in many instances do not adequately highlight the extent of student absenteeism. This dataset contains aggregate chronic absenteeism rates at the overall district level and by selected student subgroups. Percentages are presented where the cell statistic is representative of 20 students or more; where the cell statistic is representative of fewer than 20 total students the cell is suppressed and an asterisk is displayed. National research1 as well as Connecticut education data2 highlight the association of chronic absenteeism to student academic achievement and high school graduation. Chronic absenteeism is also a key metric in the Department of Education’s school turnaround initiatives (i.e., Alliance Districts and Commissioner’s Network schools).

    1 Balfanz, R., & Byrnes, V. (2012). Chronic Absenteeism: Summarizing What We Know From Nationally Available Data. Baltimore: Johns Hopkins University Center for Social Organizations of Schools.

    2 http://www.sde.ct.gov/sde/lib/sde/pdf/deps/chronicabsenteeism/learningfromthedata.statepresentation.pdf

  17. o

    Data from: What We’re Missing: A Descriptive Analysis of Part-Day...

    • openicpsr.org
    Updated Jun 2, 2020
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    Camille Whitney; Jing Liu (2020). What We’re Missing: A Descriptive Analysis of Part-Day Absenteeism in Secondary School [Dataset]. http://doi.org/10.3886/E119699V1
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    Dataset updated
    Jun 2, 2020
    Dataset provided by
    University of Maryland College Park
    Authors
    Camille Whitney; Jing Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These files contain the analysis files used to create the tables found in "What We’re Missing: A Descriptive Analysis of Part-Day Absenteeism in Secondary School". Since the data come from an anonymous district, please contact the authors to get instruction for data access.The abstract for the paper is found below:For schools and teachers to help students develop knowledge and skills, students need to show up to class. Yet absenteeism is prevalent, especially in secondary schools. This study uses a rich data set tracking class attendance by day for over 50,000 middle and high school students from an urban district in academic years 2007–2008 through 2012–2013. Our results extend and modify the extant findings on absenteeism that have been based almost exclusively on full-day absenteeism, missing class-by-class absences. Notably, part-day absenteeism is responsible for as many classes missed as full-day absenteeism, raising chronic absenteeism from 9% to 24% of secondary-grades students. Incorporating part-day absences sharply increases the chronic absenteeism gap between underrepresented minority students and their peers. Both full- and part-day absenteeism show a discrete jump at the point of transition from middle school to high school, but full-day absenteeism then declines whereas part-day absenteeism remains high in Grades 10 and 11 and increases again in Grade 12. Whereas 55% of full-day absences are unexcused, 92% of part-day absences are unexcused. Absenteeism from individual classes varies con-siderably by time of day but less by class subject matter.

  18. Pupil absence in schools in England: 2021 to 2022

    • gov.uk
    Updated Mar 16, 2023
    + more versions
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    Department for Education (2023). Pupil absence in schools in England: 2021 to 2022 [Dataset]. https://www.gov.uk/government/statistics/pupil-absence-in-schools-in-england-2021-to-2022
    Explore at:
    Dataset updated
    Mar 16, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Area covered
    England
    Description

    This release provides information on the levels of overall, authorised and unauthorised absence in:

    • state-funded primary schools
    • state-funded secondary schools
    • state-funded special schools

    It includes information on:

    • reasons for absence
    • persistent absentees
    • pupil characteristics
    • absence information for pupil referral units
    • absence by term

    The information is based on pupil level absence data collected via the school census.

  19. Share of U.S. children with health-related chronic school absenteeism, 2022,...

    • statista.com
    Updated Apr 9, 2024
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    Statista (2024). Share of U.S. children with health-related chronic school absenteeism, 2022, by race [Dataset]. https://www.statista.com/statistics/1460347/share-of-children-chronic-school-absenteeism-health-related-by-ethnicity/
    Explore at:
    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, white non-Hispanic and Hispanic children were the racial/ethnic groups in the U.S. with the highest shares of chronic school absenteeism due to health reasons, with 6.6 and 6.2 percent, respectively. This statistic depicts the percentage of children in the United States aged 5 to 17 who faced chronic school absenteeism due to health-related issues in the past 12 months in 2022, by race and ethnicity.

  20. e

    Secondary school persistent absence rate (10% absence) (recorded over 6...

    • data.europa.eu
    csv
    Updated Oct 31, 2021
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    City of York Council (2021). Secondary school persistent absence rate (10% absence) (recorded over 6 terms) [Dataset]. https://data.europa.eu/data/datasets/kpi-87aa?locale=en
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 31, 2021
    Dataset authored and provided by
    City of York Council
    Description

    Secondary school persistent absence rate (10% absence) (recorded over 6 terms)

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data.cityofnewyork.us (2024). 2016-17 - 2020-21 District End-of-Year Attendance and Chronic Absenteeism Data [Dataset]. https://catalog.data.gov/dataset/2016-17-2020-21-district-end-of-year-attendance-and-chronic-absenteeism-data

2016-17 - 2020-21 District End-of-Year Attendance and Chronic Absenteeism Data

Explore at:
Dataset updated
Nov 29, 2024
Dataset provided by
data.cityofnewyork.us
Description

Overall attendance data include students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Schools & Programs), charter schools, home schooling, and home and hospital instruction are excluded. Pre-K data do not include NYC Early Education Centers or District Pre-K Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K. Transfer schools are included in citywide, borough, and district counts but removed from school-level files. Attendance is attributed to the school the student attended at the time. If a student attends multiple schools in a school year, the student will contribute data towards multiple schools. Starting in 2020-21, the NYC DOE transitioned to NYSED's definition of chronic absenteeism. Students are considered chronically absent if they have an attendance of 90 percent or less (i.e. students who are absent 10 percent or more of the total days). In order to be included in chronic absenteeism calculations, students must be enrolled for at least 10 days (regardless of whether present or absent) and must have been present for at least 1 day. The NYSED chronic absenteeism definition is applied to all prior years in the report. School-level chronic absenteeism data reflect chronic absenteeism at a particular school. In order to eliminate double-counting students in chronic absenteeism counts, calculations at the district, borough, and citywide levels include all attendance data that contribute to the given geographic category. For example, if a student was chronically absent at one school but not at another, the student would only be counted once in the citywide calculation. For this reason, chronic absenteeism counts will not align across files. All demographic data are based on a student's most recent record in a given year. Students With Disabilities (SWD) data do not include Pre-K students since Pre-K students are screened for IEPs only at the parents' request. English language learner (ELL) data do not include Pre-K students since the New York State Education Department only begins administering assessments to be identified as an ELL in Kindergarten. Only grades PK-12 are shown, but calculations for "All Grades" also include students missing a grade level, so PK-12 may not add up to "All Grades". Data include students missing a gender, but are not shown due to small cell counts. Data for Asian students include Native Hawaiian or Other Pacific Islanders . Multi-racial and Native American students, as well as students missing ethnicity/race data are included in the "Other" ethnicity category. In order to comply with the Family Educational Rights and Privacy Act (FERPA) regulations on public reporting of education outcomes, rows with five or fewer students are suppressed, and have been replaced with an "s". Using total days of attendance as a proxy , rows with 900 or fewer total days are suppressed. In addition, other rows have been replaced with an "s" when they could reveal, through addition or subtraction, the underlying numbers that have been redacted. Chronic absenteeism values are suppressed, regardless of total days, if the number of students who contribute at least 20 days is five or fewer. Due to the COVID-19 pandemic and resulting shift to remote learning in March 2020, 2019-20 attendance data was only available for September 2019 through March 13, 2020. Interactions data from the spring of 2020 are reported on a separate tab. Interactions were reported by schools during remote learning, from April 6 2020 through June 26 2020 (a total of 57 instructional days, excluding special professional development days of June 4 and June 9). Schools were required to indicate any student from their roster that did not have an interaction on a given day. Schools were able to define interactions in a way that made sense for their students and families. Definitions of an interaction included: • Student submission of an assignment or completion of an

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