100+ datasets found
  1. d

    School Attendance by Student Group and District, 2021-2022

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Jun 21, 2025
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    data.ct.gov (2025). School Attendance by Student Group and District, 2021-2022 [Dataset]. https://catalog.data.gov/dataset/school-attendance-by-student-group-and-district-2021-2022
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.ct.gov
    Description

    This dataset includes the attendance rate for public school students PK-12 by student group and by district during the 2021-2022 school year. Student groups include: Students experiencing homelessness Students with disabilities Students who qualify for free/reduced lunch English learners All high needs students Non-high needs students Students by race/ethnicity (Hispanic/Latino of any race, Black or African American, White, All other races) Attendance rates are provided for each student group by district and for the state. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

  2. Student attendance rate by individual government school (2011-2024)

    • data.nsw.gov.au
    • researchdata.edu.au
    csv
    Updated Jan 21, 2025
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    NSW Department of Education (2025). Student attendance rate by individual government school (2011-2024) [Dataset]. https://data.nsw.gov.au/data/dataset/nsw-education-student-attendance-rate-by-school
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    csv(200676)Available download formats
    Dataset updated
    Jan 21, 2025
    Dataset provided by
    NSW Department of Educationhttps://education.nsw.gov.au/
    License

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

    Description

    This dataset shows the attendance rates for all NSW government schools in Semester One by alphabetical order.

    Data Notes:

    • 2021 data is not comparable to previous years due to the continued effects of the COVID-19 pandemic, changes to calculation rules to align with ACARA’s national standards (version 3) and changes to the way attendance data is transferred into the department’s centralised data warehouse. Please refer to 2021 Semester 1 student attendance factsheet for more information.

    • 2020 data is not provided because students were encouraged to learn from home for several weeks in Semester 1. Please refer to the factsheet on The effects of COVID-19 on attendance during Semester 1 2020 for more information.

    • In 2018 NSW government schools implemented the national standards for student attendance data reporting. This resulted in a fall in attendance rates for most schools due to the inclusion of part day absences and accounting for student mobility in the calculation. Data from 2018 onwards is not comparable with earlier years.

    • Schools for Specific Purposes (SSPs) are only included from 2021. Prior to this SSP attendance data was not collected centrally.

    • The attendance rate is defined as the number of actual full-time equivalent student days attended by full-time students in Years 1–10 as a percentage of the total number of possible student-days attended in Semester 1. Figures are aligned with the National Report on Schooling and the My School website.

    • Data is suppressed "sp" for schools where student numbers are below the reporting threshold.

    • Data is not available "na" for senior secondary schools or other schools where no students were enrolled in Years 1-10.

    • Blank cells indicate no students were enrolled at the school that census year or the school was out of scope for attendance reporting.

    Data Source:

    • Education Statistics & Measurement, Centre for Education Statistics and Evaluation
  3. Student attendance rate by SA4 (2011-2024)

    • data.nsw.gov.au
    • researchdata.edu.au
    csv
    Updated Jan 22, 2025
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    NSW Department of Education (2025). Student attendance rate by SA4 (2011-2024) [Dataset]. https://data.nsw.gov.au/data/dataset/student-attendance-rate-by-sa4
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    csv(8919)Available download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    NSW Department of Educationhttps://education.nsw.gov.au/
    License

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

    Description

    This data set shows the average attendance rate for students in NSW government schools by Statistical Area 4 (SA4).

    Data notes

    • 2021 data is not comparable to previous years due to the continued effects of the COVID-19 pandemic, changes to calculation rules to align with ACARA’s national standards (version 3) and changes to the way attendance data is transferred into the department’s centralised data warehouse. Please refer to 2021 Semester 1 student attendance factsheet for more information.

    • 2020 data is not provided because students were encouraged to learn from home for several weeks in Semester 1. Please refer to the factsheet on The effects of COVID-19 on attendance during Semester 1 2020 for more information.

    • In 2018 NSW government schools implemented the national standards for student attendance data reporting. This resulted in a fall in attendance rates for most schools due to the inclusion of part day absences and accounting for student mobility in the calculation. Data from 2018 onwards is not comparable with earlier years.

    • Schools for Specific Purposes (SSPs) are only included from 2021. Prior to this SSP attendance data was not collected centrally.

    • The attendance rate is defined as the number of actual full-time equivalent student days attended by full-time students in Years 1–10 as a percentage of the total number of possible student-days attended in Semester 1. Figures are aligned with the National Report on Schooling and the My School website.

    • SA4 refers to the ABS Australian Statistical Geography Standard (ASGS) Edition 3 Statistical Area 4 (SA4) – 2021.

    • ‘Other Territories’ has been assigned to Norfolk Island Central School, which operated under the responsibility of NSW Department of Education between 2018-2021.

    Data source

    Semester 1 Return of Absences Collection

    Data quality statement

    The Attendance Data Quality Statement addresses the quality of the Attendance dataset using the dimensions outlined in the NSW Department of Education's data quality management framework: institutional environment, relevance, timeliness, accuracy, coherence, interpretability and accessibility. It provides an overview of the dataset's quality and highlights any known data quality issues.

  4. d

    School Attendance by District, 2020-2021

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Jun 28, 2025
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    data.ct.gov (2025). School Attendance by District, 2020-2021 [Dataset]. https://catalog.data.gov/dataset/school-attendance-by-district-2020-2021
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    Dataset updated
    Jun 28, 2025
    Dataset provided by
    data.ct.gov
    Description

    This dataset includes the attendance rate for public school students PK-12 by district during the 2020-2021 school year. Attendance rates are provided for each district for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

  5. Attendance rate by school by year level - Dataset - data.sa.gov.au

    • data.sa.gov.au
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    data.sa.gov.au, Attendance rate by school by year level - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/attendance-percentage-by-school-by-year-level
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    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

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

    Area covered
    South Australia
    Description

    Attendance rate for semester 1 in SA Government schools by school and year level, collected as part of the annual enrolment data collection in Term 3. Data provided each year from 2018. Important notes: • Attendance rate = (number of days attending school / number of days enrolled) x 100. • Attendance rates are only calculated for full time students who were enrolled or left during Semester 1. • Both whole day and part day absences are counted. • Attendance data is not collected from schools 1717 Watarru Anangu School (non operational), 849 Open Access College, 810 Thebarton Senior College , 583 Marden Senior College, 1012 Northern Adelaide Senior College and 195 Youth Education Centre. • Attendance rates in 2020 are lower than anticipated due to Covid-19 lockdowns.

  6. Attendance rate by school - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated May 22, 2019
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    data.sa.gov.au (2019). Attendance rate by school - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/attendance-rate-by-schools
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    Dataset updated
    May 22, 2019
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

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

    Area covered
    South Australia
    Description

    Attendance rate for semester 1 in SA Government schools by school from 2014. Important notes: • Attendance rate = (number of days attending school / number of days enrolled) x 100. • Attendance rates are only calculated for full time students who were enrolled or left during Semester 1. • Both whole day and part day absences are counted. • Attendance data is not collected from schools 1717 Watarru Anangu School (non operational), 849 Open Access College, 810 Thebarton Senior College , 583 Marden Senior College, 1012 Northern Adelaide Senior College and 195 Youth Education Centre. • To protect the privacy of students, where a school has 5 or less Full Time Equivalent students enrolled, the attendance rate is suppressed for that school. • Attendance rates in 2020 are lower than anticipated due to Covid-19 lockdowns.

  7. d

    School Attendance by District, 2022-2023

    • catalog.data.gov
    • data.ct.gov
    Updated Sep 15, 2023
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    data.ct.gov (2023). School Attendance by District, 2022-2023 [Dataset]. https://catalog.data.gov/dataset/school-attendance-by-district-2022-2023
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ct.gov
    Description

    This dataset includes the attendance rate for public school students PK-12 by district during the 2022-2023 school year. Attendance rates are provided for each district for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

  8. d

    School Attendance by Town, 2021-2022

    • catalog.data.gov
    • data.ct.gov
    Updated Sep 15, 2023
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    data.ct.gov (2023). School Attendance by Town, 2021-2022 [Dataset]. https://catalog.data.gov/dataset/school-attendance-by-town-2021-2022
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ct.gov
    Description

    This dataset includes the attendance rate for public school students PK-12 by town during the 2021-2022 school year. Attendance rates are provided for each town for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

  9. Pupil attendance in schools

    • gov.uk
    Updated Jun 26, 2025
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    Department for Education (2025). Pupil attendance in schools [Dataset]. https://www.gov.uk/government/statistics/pupil-attendance-in-schools
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    Dataset updated
    Jun 26, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

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

    • primary schools
    • secondary schools
    • special schools

    State-funded schools receive funding through their local authority or direct from the government.

    It includes daily, weekly and year-to-date information on attendance and absence, in addition to reasons for absence. The release uses regular data automatically submitted to the Department for Education by participating schools.

    The attached page includes links to attendance statistics published since September 2022.

  10. School attendance rates Australia 2014-2023 by Indigenous status

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). School attendance rates Australia 2014-2023 by Indigenous status [Dataset]. https://www.statista.com/statistics/1076993/australia-school-attendance-rates-by-indigenous-status/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    In 2023, the average school attendance rate for First Nations students in Australia was just over 77 percent. This was more than ten percent lower than the average attendance for non-Indigenous students in Australia that year. After a drop in attendance in 2020 due to the Covid-19 pandemic, attendance has been slowly rising to pre-Covid-19 numbers.

  11. Student attendance rate by Aboriginality and year level (2012-2019, Semester...

    • data.gov.au
    • data.nsw.gov.au
    csv
    Updated Jan 21, 2025
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    NSW Department of Education (2025). Student attendance rate by Aboriginality and year level (2012-2019, Semester 1 2021 - 2024) [Dataset]. https://data.gov.au/dataset/ds-nsw-480f513b-f8a4-4e4c-9dc3-8021c2c10996
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    csvAvailable download formats
    Dataset updated
    Jan 21, 2025
    Dataset provided by
    NSW Department of Educationhttps://education.nsw.gov.au/
    License

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

    Description

    The attendance rate is defined as the number of actual full-time equivalent student days attended by full-time school students in Years 1–10 as a percentage of the total number of possible …Show full descriptionThe attendance rate is defined as the number of actual full-time equivalent student days attended by full-time school students in Years 1–10 as a percentage of the total number of possible student-days attended. Data Notes: Attendance data for NSW government schools only. The attendance rate is calculated as (1 minus absences divided by enrolled days) multiplied by 100. This data includes the student attendance rate for semester 1, semester 2 and the full year. * Students were learning from home for extended periods during Semester 2 2021 due to COVID-19. As a result, attendance rates for Semester 2 and full year are not reliable and have not been published. * 2020 data is not provided because students were encouraged to learn from home for several weeks in Semester 1. * For more detail on how attendance data for 2020 and 2021 were affected by COVID-19, please refer to CESE factsheets: ‘Effects of COVID-19 on attendance during Semester 1 2020’ and ‘2021 Semester 1 student attendance'. All students in Years 1 to 10 in NSW government schools are regarded as full-time. Kindergarten, Year 11, Year 12 students have been excluded in the attendance rates. Ungraded (support) student attendance rates are included as a separate row and excluded from Primary and Secondary totals. Ungraded students in NSW government schools are classified as either primary or secondary according to their level of education. Distance education and Schools for Special Purposes’ attendance data is not currently collected. Bushfires affected many schools' attendance in Term 4 2019 and should be taken into account when comparing Semester 2 data to other years. Prior to 2018 absences equalled ‘all full day absences for the period in question’. From 2020, students in mainstream support classes are reported by their underlying grade of enrolment. Students in schools for specific purposes (SSPs) are included as 'ungraded'. In 2021 attendance figures were calculated differently to align with the third edition of ACARA’s National Standards for Student Attendance Data and Reporting. As a result, data is not directly comparable to previous years. The Department implemented an automated attendance feed (AAF) system in Semester 1 2021. The AAF has significantly improved data quality in 2021, which has affected data comparability with previous years. ** Note** In 2018, NSW government schools implemented the national standards for student attendance data reporting. This resulted in a fall in attendance rates for most schools due to the inclusion of partial absences and accounting for student mobility in the calculation. Data for 2018 is not directly comparable with earlier years. Source: Education Statistics and Measurement. Centre for Education Statistics and Evaluation.

  12. A

    ‘School Attendance by Town, 2020-2021’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘School Attendance by Town, 2020-2021’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-school-attendance-by-town-2020-2021-8162/0bf12669/?iid=000-074&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘School Attendance by Town, 2020-2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/c9fb7867-f130-4bde-a8be-1080fece72ab on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset includes the attendance rate for public school students PK-12 by town during the 2020-2021 school year.

    Attendance rates are provided for each town for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch.

    When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

    --- Original source retains full ownership of the source dataset ---

  13. N

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

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Apr 5, 2022
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    Department of Education (DOE) (2022). 2016-17 - 2020-21 School End-of-Year Attendance and Chronic Absenteeism Data [Dataset]. https://data.cityofnewyork.us/Education/2016-17-2020-21-School-End-of-Year-Attendance-and-/gqq2-hgxd
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    csv, application/rssxml, xml, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Department of Education (DOE)
    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 assessment, in whichever manner the school is collecting • Student participation in an online forum, chat log, or discussion thread • Student/family phone call, email or response to teacher email • Phone, email, and/or other digital communication with a family member which confirms student interaction/engagement • Other evidence of participation as determined by the principal. Interactions data are attributed to students' school of record on a given day. A student participating in a Shared Instruction (SHIN) model may have recorded interactions at multiple schools on a given day, but only one record is counted for the interaction rate, attributed to students' school of record for that day. Due to the shift to hybrid learning, attendance data for the 2020-21 school year include both in-person and remote instruction. Total days, days absent, and days present fields include both in-person and remote attendance.

    More information on attendance policies can be found here: https://www.schools.nyc.gov/school-life/rules-for-students/attendance

  14. Share of children attending school in India 2021, by area

    • statista.com
    Updated Jul 10, 2023
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    Statista (2023). Share of children attending school in India 2021, by area [Dataset]. https://www.statista.com/statistics/1314249/india-school-attendance-by-area/
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    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2019 - Apr 2021
    Area covered
    India
    Description

    As of April 2021, just over 90 percent of children aged six to 17 in urban India attended school. In comparison, a lower share of children in the same age group residing in rural India attended school, representing approximately only 86.1 percent.

  15. O

    State school attendance

    • data.qld.gov.au
    • devweb.dga.links.com.au
    html
    Updated Aug 1, 2024
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    Education (2024). State school attendance [Dataset]. https://www.data.qld.gov.au/dataset/state-school-attendance-rate
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    html(913.5 KiB)Available download formats
    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Education
    License

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

    Description

    Queensland State School data - student attendance rates by region and year level for the last 5 years.

  16. O

    Average Daily Attendance Rate

    • data.ok.gov
    • datadiscoverystudio.org
    • +2more
    csv
    Updated Oct 31, 2019
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    OKStateStat (2019). Average Daily Attendance Rate [Dataset]. https://data.ok.gov/dataset/average-daily-attendance-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2019
    Dataset authored and provided by
    OKStateStat
    Description

    Increase the average daily attendance rate in schools from 94.7% in 2014 to 96.7% by 2018.

  17. r

    Student attendance rate by Aboriginality and year level (2012-2019, Semester...

    • researchdata.edu.au
    Updated Feb 12, 2017
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    data.nsw.gov.au (2017). Student attendance rate by Aboriginality and year level (2012-2019, Semester 1 2021 - 2024) [Dataset]. https://researchdata.edu.au/student-attendance-rate-2021-2023/980044
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    Dataset updated
    Feb 12, 2017
    Dataset provided by
    data.nsw.gov.au
    License

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

    Description

    The attendance rate is defined as the number of actual full-time equivalent student days attended by full-time school students in Years 1–10 as a percentage of the total number of possible student-days attended.\r \r Data Notes:\r \r * Attendance data for NSW government schools only. The attendance rate is calculated as (1 minus absences divided by enrolled days) multiplied by 100.\r \r * This data includes the student attendance rate for semester 1, semester 2 and the full year.\r \r * Students were learning from home for extended periods during Semester 2 2021 due to COVID-19. As a result, attendance rates for Semester 2 and full year are not reliable and have not been published.\r \r * 2020 data is not provided because students were encouraged to learn from home for several weeks in Semester 1. \r \r * For more detail on how attendance data for 2020 and 2021 were affected by COVID-19, please refer to CESE factsheets: ‘ Effects of COVID-19 on attendance during Semester 1 2020 ’ and ‘ 2021 Semester 1 student attendance '.\r \r \r * All students in Years 1 to 10 in NSW government schools are regarded as full-time.\r \r * Kindergarten, Year 11, Year 12 students have been excluded in the attendance rates. \r \r * Ungraded (support) student attendance rates are included as a separate row and excluded from Primary and Secondary totals. Ungraded students in NSW government schools are classified as either primary or secondary according to their level of education.\r \r * Distance education and Schools for Special Purposes’ attendance data is not currently collected.\r \r * Bushfires affected many schools' attendance in Term 4 2019 and should be taken into account when comparing Semester 2 data to other years. \r \r * Prior to 2018 absences equalled ‘all full day absences for the period in question’. \r \r * From 2020, students in mainstream support classes are reported by their underlying grade of enrolment. Students in schools for specific purposes (SSPs) are included as 'ungraded'.\r \r * In 2021 attendance figures were calculated differently to align with the third edition of ACARA’s National Standards for Student Attendance Data and Reporting. As a result, data is not directly comparable to previous years.\r \r * The Department implemented an automated attendance feed (AAF) system in Semester 1 2021. The AAF has significantly improved data quality in 2021, which has affected data comparability with previous years.\r \r \r ** Note** \r \r In 2018, NSW government schools implemented the national standards for student attendance data reporting. This resulted in a fall in attendance rates for most schools due to the inclusion of partial absences and accounting for student mobility in the calculation. Data for 2018 is not directly comparable with earlier years.\r \r Source:\r \r * Education Statistics and Measurement. Centre for Education Statistics and Evaluation.

  18. Primary school attendance rate among disabled people South Korea 2023, by...

    • statista.com
    Updated Jun 6, 2025
    + more versions
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    Statista (2025). Primary school attendance rate among disabled people South Korea 2023, by disability [Dataset]. https://www.statista.com/statistics/1615243/south-korea-primary-school-attendance-among-the-disabled-by-type/
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Dec 2023
    Area covered
    South Korea
    Description

    According to a survey conducted in South Korea in 2023, around ** percent of respondents with brain disorders who reported their academic status as primary school stated that they attended school. This was the highest attendance rate, with the lowest being among those with mental disorders, of whom none attended.

  19. A

    ‘School Attendance by School, 2020-2021’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘School Attendance by School, 2020-2021’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-school-attendance-by-school-2020-2021-85cf/a76920e3/?iid=003-104&v=presentation
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    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘School Attendance by School, 2020-2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9bafbd8d-976e-4fe2-80c1-1de0fee2e0a5 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset includes the attendance rate for public school students PK-12 by school during the 2020-2021 school year.

    When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

    --- Original source retains full ownership of the source dataset ---

  20. N

    2016-17 - 2020-23 Citywide End-of-Year Attendance and Chronic Absenteeism...

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Apr 5, 2022
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    Department of Education (DOE) (2022). 2016-17 - 2020-23 Citywide End-of-Year Attendance and Chronic Absenteeism Data [Dataset]. https://data.cityofnewyork.us/Education/2016-17-2020-23-Citywide-End-of-Year-Attendance-an/sgsi-66kk
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    application/rssxml, csv, json, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Apr 5, 2022
    Dataset authored and provided by
    Department of Education (DOE)
    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 assessment, in whichever manner the school is collecting • Student participation in an online forum, chat log, or discussion thread • Student/family phone call, email or response to teacher email • Phone, email, and/or other digital communication with a family member which confirms student interaction/engagement • Other evidence of participation as determined by the principal. Interactions data are attributed to students' school of record on a given day. A student participating in a Shared Instruction (SHIN) model may have recorded interactions at multiple schools on a given day, but only one record is counted for the interaction rate, attributed to students' school of record for that day. Due to the shift to hybrid learning, attendance data for the 2020-21 school year include both in-person and remote instruction. Total days, days absent, and days present fields include both in-person and remote attendance. More information on attendance policies can be found here: https://www.schools.nyc.gov/school-life/rules-for-students/attendance

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data.ct.gov (2025). School Attendance by Student Group and District, 2021-2022 [Dataset]. https://catalog.data.gov/dataset/school-attendance-by-student-group-and-district-2021-2022

School Attendance by Student Group and District, 2021-2022

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Dataset updated
Jun 21, 2025
Dataset provided by
data.ct.gov
Description

This dataset includes the attendance rate for public school students PK-12 by student group and by district during the 2021-2022 school year. Student groups include: Students experiencing homelessness Students with disabilities Students who qualify for free/reduced lunch English learners All high needs students Non-high needs students Students by race/ethnicity (Hispanic/Latino of any race, Black or African American, White, All other races) Attendance rates are provided for each student group by district and for the state. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch. When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.

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