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.

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 season, annual attendance figures of Japan's first-tier professional soccer league (J1) amounted to roughly **** million. This was an increase compared to the previous season and the highest value hitherto.

Founded in 1996, the Women's National Basketball Association (WNBA) is a professional basketball league composed of 12 teams from the United States. The Indiana Fever registered the highest average attendance across the 2023 season with 17,036. That season, the Fever secured the services of college basketball sensation Caitlin Clark, who went on to break a series of rookie and all-time records. One such record was the number of assists made in a single WNBA game. Player salaries in the WNBA Jackie Young of the Las Vegas Aces was the highest earner in the WNBA in the 2024 season, having earned an annual salary of 252 thousand U.S. dollars. Meanwhile, looking at the average annual salaries in the WNBA vs. the NBA, the average WNBA player took home around 120 thousand U.S. dollars at the end of the year, which was nearly 100 times lower than the average NBA player salary. WNBA league records Since the opening season in 1997, former and current WNBA players have been setting high standards and surpassing old ones throughout the course of the competition. Sue Bird was the career games leader of the WNBA, having played 580 professional games prior to her retirement in 2022. Meanwhile, the WNBA's all-time scoring leader was Diana Taurasi, who began her career with the Phoenix Mercury in 2004. Overall, three WNBA teams held the record for most WNBA championships during the history of the league, all winning four championships apiece.

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.

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.

The New York State Office of Parks, Recreation and Historic Preservation (OPRHP) oversees more than 250 state parks, historic sites, recreational trails, golf courses, boat launches and more, encompassing nearly 350,000 acres, that are visited by 74 million people annually. These facilities contribute to the economic vitality and quality of life of local communities and directly support New York’s tourism industry. Parks also provide a place for families and children to be active and exercise, promoting healthy lifestyles. The agency is responsible for the operation and stewardship of the state park system as well as advancing a statewide parks, historic preservation, and open space mission. This data set contains the annual attendance figures for facilities operated by the New York State Office for Parks, Recreation and Historic Preservation (OPRHP). The data is organized by OPRHP region and county.

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.

During the 2022 season, annual attendance figures at matches in Japan's third-tier professional soccer league (J3) amounted to approximately *** thousand. This was the highest attendance figure recorded in the league's history.

Manchester United had the highest average attendance in the Premier League in the 2024/25 season, attracting crowds of around 73,815 to Old Trafford. Meanwhile, Goodison Park typically saw crowds of over 39,000 in its final season as the home of Everton's men's team.

Attendance records for NYC Parks swimming beaches. Data Dictionary here: https://docs.google.com/spreadsheets/d/1rHuySYNqzeHvrRnqxf6rRVGGb0AyP92Z99gmpRHqVic/edit?usp=sharing

During the 2024 season, annual attendance figures at matches in Japan's second-tier professional soccer league (J2) amounted to approximately **** million. This was a decrease compared to the previous season.

This dataset provides an overview of events held under the "All Children Excel" program. Each entry corresponds to a specific event, including its name, date, location, type, and target audience. The events are diverse, ranging from storytime sessions and STEM activities to makerspace events and bilingual programs.

This dataset is useful for data science because it offers rich, multi-faceted data that can be analyzed from various perspectives. Some types of analysis that can be performed include:

• Attendance Trend Analysis: By analyzing the attendance data over different months and fiscal years, data scientists can identify seasonal trends and the overall growth or decline in program participation. This can help in planning future events and resource allocation.
• Event Type Effectiveness: Comparing the attendance figures across different types of events (e.g., storytime vs. STEM activities) can reveal which types of events are more popular and engaging. This can guide libraries in organizing more of the events that attract higher participation.
• Demographic Insights: Analyzing the age groups targeted by different events can help understand which age groups are more engaged with certain types of activities. This information is valuable for designing targeted programs that cater specifically to the interests and needs of various age demographics.

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

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

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 listing (counts) of students registered, present, absent and released by School DBN.

Each record includes the date, total enrollment, number of students absent, present, and released on that day. This structured data is pivotal for understanding daily attendance trends, student engagement, and the operational dynamics of the school environment over time.

From a data science perspective, this dataset is a treasure trove for analyzing educational trends, attendance patterns, and their correlations with academic performance and other socio-economic factors. Analyzing these patterns over time or across different schools can help in identifying critical issues such as chronic absenteeism, the effectiveness of attendance policies, and the impact of external factors on student attendance.

Various types of analyses can be performed on this dataset to extract meaningful insights:

• Time Series Analysis: This involves examining the data across time to identify trends, seasonal patterns, or anomalies in student attendance.
• Predictive Modeling: Using historical attendance data to predict future trends. This could help in forecasting future attendance patterns and planning necessary interventions early.
• Correlation Analysis: This type of analysis can be used to explore correlations between attendance rates and other variables, possibly external, like local events, weather conditions, or public health issues.
• Cluster Analysis: By clustering different days based on attendance figures, schools can categorize 'types' of days (e.g., high attendance vs. low attendance days) and possibly link these to specific events or conditions.

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

Statistics for the attendance of Members at committees from August 2014 - May 2016