100+ datasets found
  1. d

    Educational Attainment

    • catalog.data.gov
    • data.chhs.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Public Health (2024). Educational Attainment [Dataset]. https://catalog.data.gov/dataset/educational-attainment-8c8b5
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Health
    Description

    This table contains data on the percent of population age 25 and up with a four-year college degree or higher for California, its regions, counties, county subdivisions, cities, towns, and census tracts. Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information on the data table and a data dictionary can be found in the Data and Resources section. The educational attainment table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf The format of the educational attainment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

  2. d

    education

    • catalog.data.gov
    • covid19.tempe.gov
    • +2more
    Updated Sep 20, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tempe (2024). education [Dataset]. https://catalog.data.gov/dataset/education-e2044
    Explore at:
    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Description

    This feature layer provides the educational attainment levels in the City of Tempe by census tract. The feature layer was created by clipping the ACS Educational Attainment Variables - Boundaries 2014-18, downloaded from Esri's Living Atlas, to the City of Tempe boundary layer.https://tempegov.maps.arcgis.com/home/item.html?id=84e3022a376e41feb4dd8addf25835a3

  3. Educational Services in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). Educational Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/educational-services-industry/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The Educational Services sector comprises 13 subsectors of the US economy, ranging from public schools to testing and educational support services. Primary, secondary and postsecondary schools alone generate 92.0% of the sector's revenue. Most of these institutions rely entirely on government funding, and nearly three-quarters of the educational services revenue comes from public schools and public universities. Accordingly, strong federal, state and local support for all levels of education has driven revenue upward over the past five years. Expanding discretionary budgets made private schools and higher education more affordable for students and parents, but the Trump administration's changing policies have brought new complications. Still, substantial funding and skyrocketing investment returns for private nonprofit universities have elevated revenue. Revenue has climbed at a CAGR of 4.6% to an estimated $2.7 trillion through the end of 2025, when revenue will rise by 1.1%. Solid state and local government funding for education has helped support the sector's success despite fluctuating enrollment. Faltering birth rates are leading to lower headcounts in K-12 schools, and ballooning student debt has made many would-be college students skeptical of the return on investment of an expensive degree. While student loan forgiveness efforts slowed a decline in the number of college students, the new presidential administration's end to these efforts has begun to exacerbate price-based and quality-based competition among higher education institutions. President Trump's scrutiny of course curricula has made public funds harder to acquire for schools, and the administration's efforts to close the Department of Education have begun to deter would-be students from attending college. Trends in the domestic economy are set to move in the Educational Services sector's favor over the next five years as prospective students become better able to pay for rising tuition rates and premium education options. Government funding for primary, secondary and postsecondary institutions will continue to escalate through the next period, though lackluster enrollment will temper revenue growth. Public schools, which account for over half the sector's revenue, will continue to post losses and drag down the average profit for educational services. New school choice initiatives, including Texas's new, largest-ever voucher program, will make private schools more affordable for parents. However, heightened oversight and continued efforts to close the Department of Education will remain a significant pain point for many educational services. Overall, revenue is set to climb at a CAGR of 0.8% to $2.8 trillion through the end of 2030.

  4. World Educational Data

    • kaggle.com
    Updated Jan 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    willian oliveira gibin (2024). World Educational Data [Dataset]. http://doi.org/10.34740/kaggle/dsv/7332964
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 3, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    willian oliveira gibin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    ![![https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F8278d442527f2405600742b9cf53b897%2Fshare-of-the-world-population-with-at-least-basic-education.png?generation=1704312437101665&alt=media" alt="">]

    The world has made substantial progress in increasing basic levels of education Access to education is now seen as a fundamental right – in many cases, it’s the government’s duty to provide it.

    But formal education is a very recent phenomenon. In the chart, we see the share of the adult population – those older than 15 – that has received some basic education and those who haven’t.

    In the early 1800s, fewer than 1 in 5 adults had some basic education. Education was a luxury; in all places, it was only available to a small elite.

    But you can see that this share has grown dramatically, such that this ratio is now reversed. Less than 1 in 5 adults has not received any formal education.

    This is reflected in literacy data, too: 200 years ago, very few could read and write. Now most adults have basic literacy skills.

  5. p

    Educational Training Center

    • publicschoolreview.com
    json, xml
    Updated Nov 13, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2022). Educational Training Center [Dataset]. https://www.publicschoolreview.com/educational-training-center-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset updated
    Nov 13, 2022
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 1999 - Dec 31, 2025
    Description

    Historical Dataset of Educational Training Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2002-2023),Total Classroom Teachers Trends Over Years (1999-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2000-2023),American Indian Student Percentage Comparison Over Years (1999-2023),Hispanic Student Percentage Comparison Over Years (2001-2023),Black Student Percentage Comparison Over Years (2001-2023),White Student Percentage Comparison Over Years (2002-2023),Two or More Races Student Percentage Comparison Over Years (2009-2020),Diversity Score Comparison Over Years (2001-2023),Free Lunch Eligibility Comparison Over Years (1999-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2009),Reading and Language Arts Proficiency Comparison Over Years (2016-2022),Math Proficiency Comparison Over Years (2016-2022),Overall School Rank Trends Over Years (2016-2022),Graduation Rate Comparison Over Years (2012-2022)

  6. National Assessment of Educational Progress, 2003

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Aug 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Center for Education Statistics (NCES) (2023). National Assessment of Educational Progress, 2003 [Dataset]. https://catalog.data.gov/dataset/national-assessment-of-educational-progress-2003-93066
    Explore at:
    Dataset updated
    Aug 13, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Assessment of Educational Progress, 2003 (NAEP 2003), is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data is available since 1990 at https://nces.ed.gov/nationsreportcard/naepdata/. NAEP 2003 (https://nces.ed.gov/nationsreportcard/) is a cross-sectional survey that assesses what America's students know and can do in various subject areas. The study was conducted using computer-based assessment of students. Students in grades 4, 8, and 12 were sampled. The study's response rate was between 90 and 92 percent. Key statistics produced from NAEP 2003 are results on subject-matter achievement, instructional experiences, and school environment for populations of students (e.g., all fourth-graders) and groups within those populations (e.g., female students, Hispanic students).

  7. Educational attainment in the U.S. 1960-2022

    • statista.com
    Updated May 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Educational attainment in the U.S. 1960-2022 [Dataset]. https://www.statista.com/statistics/184260/educational-attainment-in-the-us/
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, about 37.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight decline from 37.9 the previous year. However, this is a significant increase from 1960, when only 7.7 percent of the U.S. population had graduated from college. Demographics Educational attainment varies by gender, location, race, and age throughout the United States. Asian-American and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Colombia are areas home to the highest rates of residents with a bachelor’s degree or higher. However, education levels are correlated with wealth. While public education is free up until the 12th grade, the cost of university is out of reach for many Americans, making social mobility increasingly difficult. Earnings White Americans with a professional degree earned the most money on average, compared to other educational levels and races. However, regardless of educational attainment, males typically earned far more on average compared to females. Despite the decreasing wage gap over the years in the country, it remains an issue to this day. Not only is there a large wage gap between males and females, but there is also a large income gap linked to race as well.

  8. National Assessment of Educational Progress, 2004

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Aug 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Center for Education Statistics (NCES) (2023). National Assessment of Educational Progress, 2004 [Dataset]. https://catalog.data.gov/dataset/national-assessment-of-educational-progress-2004-3bce0
    Explore at:
    Dataset updated
    Aug 12, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Assessment of Educational Progress, 2004 (NAEP 2004), is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data is available since 1990 at . NAEP 2004 (https://nces.ed.gov/nationsreportcard/) is a cross-sectional survey that assesses what America's students know and can do in foreign language assessment. The study was conducted using paper and pencil assessments of students. Students in grade 12 were sampled for the field test in 2003. The field test collection's response rate was between 90 and 92 percent. Key statistics produced from NAEP 2004 are results on foreign language assessment achievement, instructional experiences, and school environments for students and groups within those populations (e.g. female students, Hispanic students).

  9. p

    Center For Learning And Educational Success

    • publicschoolreview.com
    json, xml
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review, Center For Learning And Educational Success [Dataset]. https://www.publicschoolreview.com/center-for-learning-and-educational-success-profile
    Explore at:
    xml, jsonAvailable download formats
    Dataset authored and provided by
    Public School Review
    License

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

    Time period covered
    Jan 1, 2014 - Dec 31, 2025
    Description

    Historical Dataset of Center For Learning And Educational Success is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2014-2023),Total Classroom Teachers Trends Over Years (2014-2015),Distribution of Students By Grade Trends,Hispanic Student Percentage Comparison Over Years (2014-2023),Black Student Percentage Comparison Over Years (2014-2023),White Student Percentage Comparison Over Years (2014-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Diversity Score Comparison Over Years (2014-2023),Free Lunch Eligibility Comparison Over Years (2014-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2014-2015),Reading and Language Arts Proficiency Comparison Over Years (2014-2017),Math Proficiency Comparison Over Years (2014-2017),Overall School Rank Trends Over Years (2014-2017),Graduation Rate Comparison Over Years (2014-2017)

  10. Educational institutions; Finances 1998-2018

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Feb 14, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centraal Bureau voor de Statistiek (Rijk) (2020). Educational institutions; Finances 1998-2018 [Dataset]. https://data.overheid.nl/dataset/4161-educational-institutions--finances
    Explore at:
    atom(KB), json(KB)Available download formats
    Dataset updated
    Feb 14, 2020
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table contains information on the finances of government-funded institutions in primary, secondary and tertiary education. Primary education comprises of primary general education, primary special education (SBO) and primary special-needs education (SO). Secondary education constitutes secondary general education, secondary vocational education (MBO) and adult education. Tertiary education encompasses higher professional education (HBO) and university education (WO). All educational institutions are funded by the Ministry of Education, Culture and Science as of 2018. Educational institutions that provided agricultural education were funded by the Ministry of Economic Affairs until 2018. Educational institutions are legally obligated to annually submit their financial statements before the 1st of July to the Education Executive Agency (DUO) of the Ministry of Education, Culture and Science. The data from the financial statements is subsequently processed by DUO and transmitted to Statistics Netherlands. Financial information regarding primary educational institutions is available from 2006 onwards, as a result of the introduction of lump sum funding in the same year, which legally obligated these institutions to provide their financial information to the Ministry of Education, Culture and Science. The finances for the educational institutions in the secondary and tertiary education are available since 1998. Financial information related to special-needs educational institutions is available separately and concerns the educational institutions with school boards solely overseeing special-needs education in both primary and secondary education. Please note that the educational institutions of Caribbean Netherlands are included in the table from 2010 onwards, due to the islands of Caribbean Netherlands becoming part of the Netherlands as of October 2010.

    Data available from 1998 to 2018.

    Status of the figures: The figures for the period 1998-2017 are definite. The figures for 2018 are provisional. Because this table is discontinued, figures will not be updated anymore.

    Changes as of 11 December 2020: None, this table is discontinued.

    When will new figures be published? Not applicable anymore.

    The financial data from the financial statements of all government-funded educational institutions in the Netherlands is annually published by the Education Executive Agency (DUO) of the Ministry of Education, Culture and Science. Financial data is available per school board and can be found on the website of the Education Executive Agency (DUO), listed under paragraph 3.

  11. Education Industry Data | Global Education Sector Professionals | Verified...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2021). Education Industry Data | Global Education Sector Professionals | Verified LinkedIn Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/education-industry-data-global-education-sector-professiona-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Taiwan, Brazil, Mongolia, Jersey, Kiribati, Ascension and Tristan da Cunha, Gabon, Wallis and Futuna, Samoa, Palestine
    Description

    Success.ai’s Education Industry Data provides access to comprehensive profiles of global professionals in the education sector. Sourced from over 700 million verified LinkedIn profiles, this dataset includes actionable insights and verified contact details for teachers, school administrators, university leaders, and other decision-makers. Whether your goal is to collaborate with educational institutions, market innovative solutions, or recruit top talent, Success.ai ensures your efforts are supported by accurate, enriched, and continuously updated data.

    Why Choose Success.ai’s Education Industry Data? 1. Comprehensive Professional Profiles Access verified LinkedIn profiles of teachers, school principals, university administrators, curriculum developers, and education consultants. AI-validated profiles ensure 99% accuracy, reducing bounce rates and enabling effective communication. 2. Global Coverage Across Education Sectors Includes professionals from public schools, private institutions, higher education, and educational NGOs. Covers markets across North America, Europe, APAC, South America, and Africa for a truly global reach. 3. Continuously Updated Dataset Real-time updates reflect changes in roles, organizations, and industry trends, ensuring your outreach remains relevant and effective. 4. Tailored for Educational Insights Enriched profiles include work histories, academic expertise, subject specializations, and leadership roles for a deeper understanding of the education sector.

    Data Highlights: 700M+ Verified LinkedIn Profiles: Access a global network of education professionals. 100M+ Work Emails: Direct communication with teachers, administrators, and decision-makers. Enriched Professional Histories: Gain insights into career trajectories, institutional affiliations, and areas of expertise. Industry-Specific Segmentation: Target professionals in K-12 education, higher education, vocational training, and educational technology.

    Key Features of the Dataset: 1. Education Sector Profiles Identify and connect with teachers, professors, academic deans, school counselors, and education technologists. Engage with individuals shaping curricula, institutional policies, and student success initiatives. 2. Detailed Institutional Insights Leverage data on school sizes, student demographics, geographic locations, and areas of focus. Tailor outreach to align with institutional goals and challenges. 3. Advanced Filters for Precision Targeting Refine searches by region, subject specialty, institution type, or leadership role. Customize campaigns to address specific needs, such as professional development or technology adoption. 4. AI-Driven Enrichment Enhanced datasets include actionable details for personalized messaging and targeted engagement. Highlight educational milestones, professional certifications, and key achievements.

    Strategic Use Cases: 1. Product Marketing and Outreach Promote educational technology, learning platforms, or training resources to teachers and administrators. Engage with decision-makers driving procurement and curriculum development. 2. Collaboration and Partnerships Identify institutions for collaborations on research, workshops, or pilot programs. Build relationships with educators and administrators passionate about innovative teaching methods. 3. Talent Acquisition and Recruitment Target HR professionals and academic leaders seeking faculty, administrative staff, or educational consultants. Support hiring efforts for institutions looking to attract top talent in the education sector. 4. Market Research and Strategy Analyze trends in education systems, curriculum development, and technology integration to inform business decisions. Use insights to adapt products and services to evolving educational needs.

    Why Choose Success.ai? 1. Best Price Guarantee Access industry-leading Education Industry Data at unmatched pricing for cost-effective campaigns and strategies. 2. Seamless Integration Easily integrate verified data into CRMs, recruitment platforms, or marketing systems using downloadable formats or APIs. 3. AI-Validated Accuracy Depend on 99% accurate data to reduce wasted outreach and maximize engagement rates. 4. Customizable Solutions Tailor datasets to specific educational fields, geographic regions, or institutional types to meet your objectives.

    Strategic APIs for Enhanced Campaigns: 1. Data Enrichment API Enrich existing records with verified education professional profiles to enhance engagement and targeting. 2. Lead Generation API Automate lead generation for a consistent pipeline of qualified professionals in the education sector. Success.ai’s Education Industry Data enables you to connect with educators, administrators, and decision-makers transforming global...

  12. f

    Scale for Assessing University Digital Educational Environment (AUDEE...

    • ruspsydata.figshare.com
    xlsx
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Marina Sorokova; Maria Odintsova; Nataly Radchikova (2023). Scale for Assessing University Digital Educational Environment (AUDEE Scale): validation database [Dataset]. http://doi.org/10.25449/ruspsydata.14742816
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Psychological Research Data & Tools Repository
    Authors
    Marina Sorokova; Maria Odintsova; Nataly Radchikova
    License

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

    Description

    The dataset for the development and validation of Scale for assessing university digital educational environment (AUDEE Scale by M. Sorokova, M. Odintsova, and N. Radchikova) is presented (N = 406). AUDEE Scale has six subscales: “DEE Learning Process Satisfaction”, “DEE Communication Satisfaction and Learning Motivation”, “DEE Stress Tension”, “Need for Support in the DEE Learning Activities”, “DEE Dishonest Strategies Prevalence”, and “DEE Accessibility” as well as the total score indicating the degree of positive attitude towards the digital educational environment. Full text of AUDEE Scale questionnaire in Russian and in English is available along with the dataset

  13. o

    Synthetic Student Performance Dataset

    • opendatabay.com
    .undefined
    Updated May 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Opendatabay Labs (2025). Synthetic Student Performance Dataset [Dataset]. https://www.opendatabay.com/data/synthetic/09e2de7b-9830-4337-a801-f4b8ca312c53
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Opendatabay Labs
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Education & Learning Analytics
    Description

    This synthetic Student Performance Dataset is designed as an educational resource for data science, machine learning, and education analytics applications. The dataset provides detailed information on various factors influencing students’ academic performance, including demographics, family background, extracurricular activities, and study habits. It aims to help users analyze relationships between these factors and students’ grades, providing insights into student success and well-being.

    Dataset Features:

    • Gender: Gender of the student (e.g., "Male," "Female").
    • Age: Age of the student (in years).
    • Family Size: Size of the student’s family.
    • Parental Status (Together/Apart): Whether the parents are living together or apart.
    • Mother's Education Level: Education level of the student’s mother.
    • Father's Education Level: Education level of the student’s father.
    • Mother's Job: Occupation of the student’s mother.
    • Father's Job: Occupation of the student’s father.
    • Reason for Choosing School: Primary reason for selecting the school (e.g., proximity, reputation).
    • Legal Guardian: Legal guardian of the student (e.g., "Mother," "Father," "Other").
    • Travel Time to School (in hours): Daily travel time between home and school.
    • Weekly Study Time (in hours): Hours spent studying outside school per week.
    • Number of Past Failures: Number of previously failed subjects.
    • Extra Educational Support: Whether the student receives additional educational support (e.g., "Yes," "No").
    • Family Educational Support: Whether the family provides educational support (e.g., "Yes," "No").
    • Paid Extra Classes: Whether the student takes extra paid classes (e.g., "Yes," "No").
    • Extracurricular Activities: Participation in extracurricular activities (e.g., "Yes," "No").
    • Attended Nursery School: Whether the student attended nursery school (e.g., "Yes," "No").
    • Aspiration for Higher Education: Whether the student aspires to pursue higher education (e.g., "Yes," "No").
    • Internet Access at Home: Availability of internet access at home (e.g., "Yes," "No").
    • In a Romantic Relationship: Whether the student is in a romantic relationship (e.g., "Yes," "No").
    • Quality of Family Relationships: Rated quality of relationships within the family.
    • Free Time After School: Amount of free time available after school hours.
    • Going Out with Friends: Frequency of going out with friends.
    • Workday Alcohol Consumption: Level of alcohol consumption during workdays.
    • Weekend Alcohol Consumption: Level of alcohol consumption during weekends.
    • Current Health Status: Self-reported health status of the student.
    • Number of School Absences: Total number of school days missed.
    • First Period Grade: Grade received during the first grading period.
    • Second Period Grade: Grade received during the second grading period.
    • Final Grade: Final grade achieved by the student.

    Distribution:

    https://storage.googleapis.com/opendatabay_public/images/image_725529a8-e4cb-4bee-bcca-a9adc2658dbd.png" alt="Student Performance Dataset Distribution">

    https://storage.googleapis.com/opendatabay_public/images/image_55f1fa29-442d-49ea-89a1-e90b85d8c95f.png" alt="Student Performance Data">

    Usage:

    This dataset is useful for a variety of applications, including:

    • Student Performance Analysis: To explore relationships between family background, study habits, and academic outcomes.
    • Educational Research: To identify key factors influencing student success and well-being.
    • Predictive Modeling: To build models that predict student grades or identify students at risk of underperforming.
    • Policy Making: To analyze how socioeconomic factors and family structure impact education outcomes.

    Coverage:

    This dataset is synthetic and anonymized, ensuring that it is safe for experimentation and learning without compromising any real student data.

    License:

    CCO (Public Domain)

    Who can use it:

    Data science learners: For practising data manipulation, visualization, and predictive modelling. Educators and researchers: For academic studies or teaching purposes in student analytics and education research. Education professionals: For analyzing factors that influence student success and tailoring interventions to improve outcomes.

  14. O

    Online School Solutions Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Forecast (2025). Online School Solutions Report [Dataset]. https://www.marketresearchforecast.com/reports/online-school-solutions-31372
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 9, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global online school solutions market is experiencing robust growth, driven by increasing internet penetration, rising demand for flexible and accessible education, and technological advancements in online learning platforms. The market's diverse segments, encompassing for-profit and non-profit Educational Management Organizations (EMOs) catering to elementary, middle, high school, and adult education, contribute to its dynamism. While precise market sizing requires specific data, a reasonable estimate based on industry trends and reported CAGRs suggests a 2025 market value of approximately $50 billion, with a projected Compound Annual Growth Rate (CAGR) of 15% through 2033. This growth is fueled by a surge in demand for virtual schooling, particularly in underserved regions and among students seeking personalized learning experiences. Key players such as K12 Inc., Mosaica Education, and Connections Academy are leading this expansion, investing heavily in innovative technologies and curriculum development to meet evolving educational needs. However, challenges remain, including concerns about digital equity, ensuring effective teacher training for online environments, and maintaining the social interaction crucial for student development. The market's regional distribution reflects global technological disparities and educational priorities. North America currently holds a significant market share due to early adoption of online education technologies and established EMOs. However, Asia-Pacific is projected to witness the most significant growth during the forecast period, driven by rapid digitalization and a large, young population with increasing access to education. Europe is expected to maintain consistent growth fueled by government initiatives promoting digital learning and an increasing recognition of online education's potential to address skill gaps. Market segmentation by educational level indicates a strong preference for online solutions in higher education, driven by increasing demand for professional development and flexible learning options for working adults. The growth trajectory is expected to be shaped by continuous technological innovation, improving online learning methodologies, and government policies promoting digital literacy and access to quality online education.

  15. Distribution of educational staff in Romania 2023-2024, by level of...

    • statista.com
    • ai-chatbox.pro
    Updated Apr 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Distribution of educational staff in Romania 2023-2024, by level of education [Dataset]. https://www.statista.com/statistics/1227928/romania-share-of-educational-staff-by-level-of-education/
    Explore at:
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Romania
    Description

    In the academic year 2023/2024, nearly half of the educational staff was teaching on primary and lower secondary education levels. Only 11 percent of educational personnel in Romania worked at the tertiary education level.

  16. i

    Educational Attainment - Dataset - The Indiana Data Hub

    • hub.mph.in.gov
    Updated Sep 11, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Educational Attainment - Dataset - The Indiana Data Hub [Dataset]. https://hub.mph.in.gov/dataset/educational-attainment
    Explore at:
    Dataset updated
    Sep 11, 2018
    License

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

    Description

    This U.S. Census Bureau American Community Survey (ACS) five-year estimates data set includes information about education attainment in a number of geographic areas ranging from statewide to census tract. The data set includes educational attainment data from 2012-2016.

  17. U.S. educational services industry ad spend 2022-2023

    • statista.com
    Updated Jul 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. educational services industry ad spend 2022-2023 [Dataset]. https://www.statista.com/statistics/470693/educational-services-industry-ad-spend-usa/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the educational services industry in the United States spent over *** billion U.S. dollars on advertising, up from **** billion dollars a year earlier. That represents an annual increase of roughly ***** percent.

  18. f

    Data from: SCHOOL INCLUSION AND INDIVIDUALIZED EDUCATIONAL PLANNING: A...

    • scielo.figshare.com
    • search.datacite.org
    xls
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabriela Tannús-Valadão; Enicéia Gonçalves Mendes (2023). SCHOOL INCLUSION AND INDIVIDUALIZED EDUCATIONAL PLANNING: A COMPARATIVE STUDY ON PLANNING PRACTICES IN DIFFERENT COUNTRIES [Dataset]. http://doi.org/10.6084/m9.figshare.7273271.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELO journals
    Authors
    Gabriela Tannús-Valadão; Enicéia Gonçalves Mendes
    License

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

    Description

    ABSTRACT An historical overview is outlined about the individualized educational plan (IEP) concept and the consequent changes in their practice due to school segregation and inclusion. Then, analyzing the legislation on IEP and the models of execution of this type of planning in other countries, namely: France, Italy, the United States and Brazil. The model of IEP in France is broader, encompassing the whole life cycle. In the United States and Italy, the model focuses on the exclusive planning of school life, although all emphasize the importance of measures to control the transition process from school to work or/and community. Brazil does not have provisions in legislation to ensure that such students have an IEP based on their peculiarities, resulting in a planning more strongly focused on the existing services rather than on student needs. Thus, although the announced era is of school inclusion, planning practices have not changed.

  19. National Assessment of Educational Progress, 2009 High School Transcript...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Aug 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Center for Education Statistics (NCES) (2023). National Assessment of Educational Progress, 2009 High School Transcript Study [Dataset]. https://catalog.data.gov/dataset/national-assessment-of-educational-progress-2009-high-school-transcript-study-bee30
    Explore at:
    Dataset updated
    Aug 13, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Assessment of Educational Progress, 2009 High School Transcript Study (HSTS 2009), is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data available since 1990 at . HSTS 2009 (https://nces.ed.gov/nationsreportcard/hsts/) is a cross-sectional survey that periodically surveys the curricula being followed in our nation's high schools and the coursetaking patterns of high school students through a collection of transcripts. The study was conducted using survey of school administrative personnel and collection of students' transcripts. For public schools, the HSTS sample was a subsample of the NAEP 2009 twelfth-grade public school sample for the operational mathematics and science assessments. For private schools, the HSTS sample was the NAEP 2009 twelfth-grade private school sample for the operational mathematics and science assessments. The study weighted response rate was 83 percent. HSTS 2009 also offers information on the relationship of student coursetaking patterns to achievement at grade 12 as measured by NAEP. Key statistics produced from HSTS 2009 are information about the types of courses that graduates take, how many credits they earn, their grade point averages, and the relationship between coursetaking patterns and achievement, as measured by NAEP.

  20. Hong Kong SAR, China HK: Educational Attainment: At Least Completed Primary:...

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Hong Kong SAR, China HK: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-educational-attainment-at-least-completed-primary-population-25-years-total--cumulative
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1971 - Dec 1, 2015
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data was reported at 95.379 % in 2015. This records an increase from the previous number of 95.026 % for 2014. Hong Kong HK: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 93.716 % from Dec 1971 (Median) to 2015, with 9 observations. The data reached an all-time high of 95.379 % in 2015 and a record low of 47.000 % in 1971. Hong Kong HK: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed primary education.; ; UNESCO Institute for Statistics; ;

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
California Department of Public Health (2024). Educational Attainment [Dataset]. https://catalog.data.gov/dataset/educational-attainment-8c8b5

Educational Attainment

Explore at:
Dataset updated
Nov 27, 2024
Dataset provided by
California Department of Public Health
Description

This table contains data on the percent of population age 25 and up with a four-year college degree or higher for California, its regions, counties, county subdivisions, cities, towns, and census tracts. Greater educational attainment has been associated with health-promoting behaviors including consumption of fruits and vegetables and other aspects of healthy eating, engaging in regular physical activity, and refraining from excessive consumption of alcohol and from smoking. Completion of formal education (e.g., high school) is a key pathway to employment and access to healthier and higher paying jobs that can provide food, housing, transportation, health insurance, and other basic necessities for a healthy life. Education is linked with social and psychological factors, including sense of control, social standing and social support. These factors can improve health through reducing stress, influencing health-related behaviors and providing practical and emotional support. More information on the data table and a data dictionary can be found in the Data and Resources section. The educational attainment table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf The format of the educational attainment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

Search
Clear search
Close search
Google apps
Main menu