Daily Attendance figures are accurate as of 4:00pm, but are not final as schools continue to submit data after we generate this preliminary report.

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.

Ratio of attendance hours taken in a period against the work hours available for the same period.

This dataset is no longer being updated. For more information please refer to Workforce statistics at https://www.forgov.qld.gov.au/recruitment-performance-and-career/workforce-planning/workforce-statistics-and-tools/workforce-statistics

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

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

This dataset includes the attendance rate for public school students PK-12 by town during the 2022-2023 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.

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.

Daily Attendance figures are accurate as of 4:00pm, but are not final as schools continue to submit data after we generate this preliminary report.

Daily listing of students enrolled, present, absent or released statistical count by district, borough and school.

This dataset includes the attendance rate for public school students PK-12 by school during the 2021-2022 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.

This dataset includes the attendance rate for public school students PK-12 by school during the 2022-2023 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.

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.

This CESE bulletin presents analysis of students attendance data at New South Wales government schools in semester one. Results are presented for primary and secondary students. Attendance rates are also presented for Aboriginal students, as well as data on absence reasons and attendance levels.

Due to COVID-19 Semester 1 2020 data is a break in series and should not be compared to previous years. The Attendance Bulletin was not published in its regular format, and instead CESE published a factsheet, ‘Effects of COVID-19 on attendance during Semester 1 2020’. This is available here: https://education.nsw.gov.au/about-us/educational-data/cese/publications/statistics/effects-of-covid-19-on-attendance-2020.

Data source:

• Statistical publications. Centre for Education Statistics and Evaluation.

Monthly grade level counts of roster students present, absent and released by School DBN. This dataset updates its statistics numerous times during fiscal year, current data reflects statistics for fiscal year 2017-2020.

The Super Bowl is one of the most-watched sporting events in the world, regularly attracting more than 70 thousand fans to the live event. The highest attendance figures are often associated with games that feature popular teams, exciting matchups, or other special circumstances such as the large seating capacity of the stadium within which the games are hosted. The 2025 Super Bowl, which was hosted at Caesars Superdome, New Orleans, had an attendance of 65,719 fans. This game saw the Philadelphia Eagles beat the Kansas City Chiefs to claim their second Super Bowl title. Overall, the Super Bowl attendance figures demonstrate the popularity and enduring appeal of American football as a major sport and cultural event in the United States. Popularity of the Super Bowl The Super Bowl's popularity is undeniable, with the annual championship game of the National Football League being one of the biggest single-day sports events in the world. Each year, the champions of the National Football Conference and the American Football Conference compete against each other, drawing high television ratings. The 2024 Super Bowl set a record-breaking average TV audience of over 123 million viewers in the United States. Super Bowl spending The Super Bowl generates millions of dollars in advertising revenue for the NFL, with the advertising revenue from the 2024 Super Bowl standing at a record 650 million U.S. dollars. A 30-second ad spot during the Super Bowl broadcast cost an average of eight million U.S. dollars in 2024. The big game also leads to significant consumer spending, with Super Bowl-related consumer spending in the U.S. estimated to have stood at about 17.3 billion U.S. dollars in 2024. The average American consumer planned to spend over 86 U.S. dollars on Super Bowl Sunday, with expenditures on food and beverages, televisions, furniture, team apparel and accessories, and decorations.

During the 2024 regular season, the average attendance at Women's National Basketball Association (WNBA) games rose to 9,807. This marked not only an increase over the previous two years, but the highest average attendance in the last 22 years. Similarly, average TV viewership of the WNBA has also grown, having reached around 505 thousand per game in 2023, which was over double the figures from 2016 to 2021.

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.

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.

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 ---

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.