100+ datasets found
  1. Online Education System - Review

    • kaggle.com
    • data.mendeley.com
    zip
    Updated Dec 30, 2021
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    Dr. Sujatha R (2021). Online Education System - Review [Dataset]. https://www.kaggle.com/datasets/sujaradha/online-education-system-review
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    zip(14938 bytes)Available download formats
    Dataset updated
    Dec 30, 2021
    Authors
    Dr. Sujatha R
    Description

    Pandemic has influenced all spheres of the humanity. COVID-19 impacted the education vertical in larger manner. Traditional classroom environment plays a very vital role in molding the life of an individual. Bond nurtured in the early ages of the life acts as the great moral support in the latter stages of the journey. As the pandemic has forced us into online education, this data collection aims to analyze the impact of online education. To check out the satisfactory level of the learners, review was conducted.

    Gender – Male, Female Home Location – Rural, Urban Level of Education – Post Graduate, School, Under Graduate Age – Years Number of Subjects – 1- 20 Device type used to attend classes – Desktop, Laptop, Mobile Economic status – Middle Class, Poor, Rich Family size – 1 -10 Internet facility in your locality – Number scale (Very Bad to Very Good) Are you involved in any sports? – Yes, No Do elderly people monitor you? – Yes, No Study time – Hours Sleep time – Hours Time spent on social media – Hours Interested in Gaming? – Yes, No Have separate room for studying? – Yes, No Engaged in group studies? – Yes, No Average marks scored before pandemic in traditional classroom – range Your interaction in online mode - Number scale (Very Bad to Very Good) Clearing doubts with faculties in online mode - Number scale (Very Bad to Very Good) Interested in? – Practical, Theory, Both Performance in online - Number scale (Very Bad to Very Good) Your level of satisfaction in Online Education – Average, Bad, Good

    radhakrishnan, sujatha (2021), “Online Education System - Review”, Mendeley Data, V1, doi: 10.17632/bzk9zbyvv7.1

  2. Entire World Educational Data

    • kaggle.com
    zip
    Updated Dec 23, 2023
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    Bhavik Jikadara (2023). Entire World Educational Data [Dataset]. https://www.kaggle.com/datasets/bhavikjikadara/entire-world-educational-data
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    zip(9465 bytes)Available download formats
    Dataset updated
    Dec 23, 2023
    Authors
    Bhavik Jikadara
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    World
    Description

    This meticulously curated dataset offers a panoramic view of education on a global scale , delivering profound insights into the dynamic landscape of education across diverse countries and regions. Spanning a rich tapestry of educational aspects, it encapsulates crucial metrics including out-of-school rates, completion rates, proficiency levels, literacy rates, birth rates, and primary and tertiary education enrollment statistics. A treasure trove of knowledge, this dataset is an indispensable asset for discerning researchers, dedicated educators, and forward-thinking policymakers, enabling them to embark on a transformative journey of assessing, enhancing, and reshaping education systems worldwide.

    Key Features: - Countries and Areas: Name of the countries and areas. - Latitude: Latitude coordinates of the geographical location. - Longitude: Longitude coordinates of the geographical location. - OOSR_Pre0Primary_Age_Male: Out-of-school rate for pre-primary age males. - OOSR_Pre0Primary_Age_Female: Out-of-school rate for pre-primary age females. - OOSR_Primary_Age_Male: Out-of-school rate for primary age males. - OOSR_Primary_Age_Female: Out-of-school rate for primary age females. - OOSR_Lower_Secondary_Age_Male: Out-of-school rate for lower secondary age males. - OOSR_Lower_Secondary_Age_Female: Out-of-school rate for lower secondary age females. - OOSR_Upper_Secondary_Age_Male: Out-of-school rate for upper secondary age males. - OOSR_Upper_Secondary_Age_Female: Out-of-school rate for upper secondary age females. - Completion_Rate_Primary_Male: Completion rate for primary education among males. - Completion_Rate_Primary_Female: Completion rate for primary education among females. - Completion_Rate_Lower_Secondary_Male: Completion rate for lower secondary education among males. - Completion_Rate_Lower_Secondary_Female: Completion rate for lower secondary education among females. - Completion_Rate_Upper_Secondary_Male: Completion rate for upper secondary education among males. - Completion_Rate_Upper_Secondary_Female: Completion rate for upper secondary education among females. - Grade_2_3_Proficiency_Reading: Proficiency in reading for grade 2-3 students. - Grade_2_3_Proficiency_Math: Proficiency in math for grade 2-3 students. - Primary_End_Proficiency_Reading: Proficiency in reading at the end of primary education. - Primary_End_Proficiency_Math: Proficiency in math at the end of primary education. - Lower_Secondary_End_Proficiency_Reading: Proficiency in reading at the end of lower secondary education. - Lower_Secondary_End_Proficiency_Math: Proficiency in math at the end of lower secondary education. - Youth_15_24_Literacy_Rate_Male: Literacy rate among male youths aged 15-24. - Youth_15_24_Literacy_Rate_Female: Literacy rate among female youths aged 15-24. - Birth_Rate: Birth rate in the respective countries/areas. - Gross_Primary_Education_Enrollment: Gross enrollment in primary education. - Gross_Tertiary_Education_Enrollment: Gross enrollment in tertiary education. - Unemployment_Rate: Unemployment rate in the respective countries/areas.

  3. S

    AI in Education Statistics 2026: Funding, Privacy, and Performance

    • sqmagazine.co.uk
    Updated Oct 7, 2025
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    SQ Magazine (2025). AI in Education Statistics 2026: Funding, Privacy, and Performance [Dataset]. https://sqmagazine.co.uk/ai-in-education-statistics/
    Explore at:
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    SQ Magazine
    License

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

    Time period covered
    Jan 1, 2024 - Dec 31, 2026
    Area covered
    Earth, Worldwide
    Description

    Explore powerful AI in education stats, see how artificial intelligence is transforming learning, teaching methods, and student outcomes!

  4. Education and training

    • gov.uk
    • tnaqa.mirrorweb.com
    • +1more
    Updated Jul 16, 2020
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    Department for Education (2020). Education and training [Dataset]. https://www.gov.uk/government/statistical-data-sets/fe-data-library-education-and-training
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    Dataset updated
    Jul 16, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    This statistical data set includes information on education and training participation and achievements broken down into a number of reports including sector subject areas, participation by gender, age, ethnicity, disability participation.

    It also includes data on offender learning.

    Can’t find what you’re looking for?

    If you need help finding data please refer to the table finder tool to search for specific breakdowns available for FE statistics.

    Academic year 2019 to 2020 (reported to date)

    https://assets.publishing.service.gov.uk/media/5f0c1995e90e0703146d2393/201920-July_PT_ET_part_ach_demog_LAD.xlsx">Education and training aim participation and achievement demographics by sector subject area and local authority district: academic year 2019 to 2020 Q3 (August 2019 to April 2020)

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">33 MB</span></p>
    
    
    
    
     <p class="gem-c-attachment_metadata">This file may not be suitable for users of assistive technology.</p>
     <details data-module="ga4-event-tracker" data-ga4-event='{"event_name":"select_content","type":"detail","text":"Request an accessible format.","section":"Request an accessible format.","index_section":1}' class="gem-c-details govuk-details govuk-!-margin-bottom-0" title="Request an accessible format.">
    

    Request an accessible format.

      If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email <a href="mailto:alternative.formats@education.gov.uk" target="_blank" class="govuk-link">alternative.formats@education.gov.uk</a>. Please tell us what format you need. It will help us if you say what assistive technology you use.
    

  5. I

    Israel IL: Educational Attainment: Doctoral or Equivalent: Population 25+...

    • ceicdata.com
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    CEICdata.com, Israel IL: Educational Attainment: Doctoral or Equivalent: Population 25+ Years: Total: % Cumulative [Dataset]. https://www.ceicdata.com/en/israel/education-statistics
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    Dataset provided by
    CEICdata.com
    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, 2013 - Dec 1, 2015
    Area covered
    Israel
    Variables measured
    Education Statistics
    Description

    IL: Educational Attainment: Doctoral or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 1.441 % in 2015. This records an increase from the previous number of 1.409 % for 2014. IL: Educational Attainment: Doctoral or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 1.439 % from Dec 2013 (Median) to 2015, with 3 observations. The data reached an all-time high of 1.441 % in 2015 and a record low of 1.409 % in 2014. IL: Educational Attainment: Doctoral or Equivalent: 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 Israel – Table IL.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Doctoral or equivalent.; ; UNESCO Institute for Statistics; ;

  6. I

    Israel IL: Educational Attainment: At Least Bachelor's or Equivalent:...

    • ceicdata.com
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    CEICdata.com, Israel IL: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative [Dataset]. https://www.ceicdata.com/en/israel/education-statistics
    Explore at:
    Dataset provided by
    CEICdata.com
    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, 2013 - Dec 1, 2015
    Area covered
    Israel
    Variables measured
    Education Statistics
    Description

    IL: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 33.206 % in 2015. This records an increase from the previous number of 32.791 % for 2014. IL: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 32.791 % from Dec 2013 (Median) to 2015, with 3 observations. The data reached an all-time high of 33.206 % in 2015 and a record low of 31.394 % in 2013. IL: Educational Attainment: At Least Bachelor's or Equivalent: 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 Israel – Table IL.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.; ; UNESCO Institute for Statistics; ;

  7. h

    chempile-education

    • huggingface.co
    Updated May 18, 2025
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    Lab of Kevin Jablonka at Uni Jena (2025). chempile-education [Dataset]. https://huggingface.co/datasets/jablonkagroup/chempile-education
    Explore at:
    Dataset updated
    May 18, 2025
    Dataset authored and provided by
    Lab of Kevin Jablonka at Uni Jena
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    ChemPile-Education

    A comprehensive chemistry education dataset containing 129.26M+ tokens from diverse educational sources

      📋 Dataset Summary
    

    ChemPile-Education is a large-scale chemistry natural language dataset extracted from diverse educational resources, including open-source textbooks, lecture notes, transcripts, and other educational materials. This dataset captures fundamental chemistry knowledge and concepts as students would encounter them in textbooks and… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/chempile-education.

  8. Wages by Education in the USA (1973-2022)

    • kaggle.com
    zip
    Updated Feb 17, 2024
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    asaniczka (2024). Wages by Education in the USA (1973-2022) [Dataset]. https://www.kaggle.com/datasets/asaniczka/wages-by-education-in-the-usa-1973-2022
    Explore at:
    zip(7438 bytes)Available download formats
    Dataset updated
    Feb 17, 2024
    Authors
    asaniczka
    License

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

    Area covered
    United States
    Description

    The Wages by Education dataset provides insight into the average hourly wages of workers in the USA, disaggregated by the highest level of education attained.

    This dataset covers the period from 1973 to 2022 and is sourced from the Economic Policy Institute’s State of Working America Data Library.

    Interesting Insights & Research Areas:

    1. Explore the wage gap based on education level and identify trends over time.
    2. Analyze the impact of education on wages for different demographic groups (gender, race/ethnicity).
    3. Investigate changes in wage inequality between education groups over the decades.
    4. Examine the relationship between wages and economic indicators such as inflation and GDP.
    5. Compare wage trends in different sectors or industries based on education levels.
    6. Visualize the wage premiums associated with advanced degrees and their changes over time.
    7. Explore how educational attainment affects wage disparity.

    If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

    Checkout my other datasets

    Employment-to-Population Ratio for USA

    USA Hispanic-White Wage Gap Dataset

    USA Wage Comparison for College vs. High School

    USA Unemployment Rates by Demographics & Race

    13K Reddit Tips

    Photo by Vasily Koloda on Unsplash

  9. Educational attainment in the U.S. 1960-2024

    • statista.com
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    Statista, Educational attainment in the U.S. 1960-2024 [Dataset]. https://www.statista.com/statistics/184260/educational-attainment-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, about 38.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight increase from 38.3 percent 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-Americans and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Columbia 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.

  10. S

    Senegal SN: Educational Attainment: At Least Bachelor's or Equivalent:...

    • ceicdata.com
    + more versions
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    CEICdata.com, Senegal SN: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative [Dataset]. https://www.ceicdata.com/en/senegal/education-statistics
    Explore at:
    Dataset provided by
    CEICdata.com
    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, 2011 - Dec 1, 2013
    Area covered
    Senegal
    Description

    SN: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 3.117 % in 2013. This records an increase from the previous number of 2.049 % for 2011. SN: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 2.583 % from Dec 2011 (Median) to 2013, with 2 observations. The data reached an all-time high of 3.117 % in 2013 and a record low of 2.049 % in 2011. SN: Educational Attainment: At Least Bachelor's or Equivalent: 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 Senegal – Table SN.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.; ; UNESCO Institute for Statistics; ;

  11. S

    Senegal SN: Educational Attainment: At Least Completed Lower Secondary:...

    • ceicdata.com
    + more versions
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    CEICdata.com, Senegal SN: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative [Dataset]. https://www.ceicdata.com/en/senegal/education-statistics
    Explore at:
    Dataset provided by
    CEICdata.com
    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, 2006 - Dec 1, 2013
    Area covered
    Senegal
    Description

    SN: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data was reported at 9.566 % in 2013. This records an increase from the previous number of 7.197 % for 2011. SN: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data is updated yearly, averaging 7.197 % from Dec 2006 (Median) to 2013, with 3 observations. The data reached an all-time high of 9.566 % in 2013 and a record low of 4.599 % in 2006. SN: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Senegal – Table SN.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed lower secondary education.; ; UNESCO Institute for Statistics; ;

  12. d

    education

    • catalog.data.gov
    • covid19.tempe.gov
    • +1more
    Updated Sep 20, 2024
    + more versions
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    City of Tempe (2024). education [Dataset]. https://catalog.data.gov/dataset/education-e2044
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    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

  13. Higher education institutions in the U.S. 1980-2023

    • statista.com
    Updated Jan 5, 2026
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    Statista (2026). Higher education institutions in the U.S. 1980-2023 [Dataset]. https://www.statista.com/statistics/240833/higher-education-institutions-in-the-us-by-type/
    Explore at:
    Dataset updated
    Jan 5, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    There were ***** recognized postsecondary degree-granting institutions across the United States active during the 2022/23 academic year. This was a decrease from a peak of ***** colleges a decade earlier Higher education in the U.S. Higher education in the United States refers to colleges and universities in the country. American colleges have some unique feature relative to the rest of the world. These include NCAA sports, Greek life, and high attendance costs. However, a large majority of the world’s best universities are located in the U.S. Some of these universities include the eight Ivy League schools, Massachusetts Institute of Technology (MIT), and Stanford University. Higher education costs The cost of tuition in the United States has increased significantly over the last few decades. As a consequence of high fees, it is commonplace for students to obtain loans to fund their education. Looking ahead, federal government outlays for higher education are not expected to increase in the coming years. At the local level, California had the highest of highest expenditure on higher education among U.S. states. California also had the most post-secondary education institutions in the country.

  14. F

    Government current expenditures: Education

    • fred.stlouisfed.org
    json
    Updated Dec 30, 2025
    + more versions
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    (2025). Government current expenditures: Education [Dataset]. https://fred.stlouisfed.org/series/G160291A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Dec 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Government current expenditures: Education (G160291A027NBEA) from 1959 to 2024 about education, expenditures, government, GDP, and USA.

  15. m

    Digital Education Dataset (1983-2020)

    • data.mendeley.com
    Updated Apr 7, 2021
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    andre septianto (2021). Digital Education Dataset (1983-2020) [Dataset]. http://doi.org/10.17632/5bztky29hr.1
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    Dataset updated
    Apr 7, 2021
    Authors
    andre septianto
    License

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

    Description

    The Digital Education research & publication dataset, which was indexed by Scopus from 1983 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.

  16. d

    Graduate Employment Survey - NTU, NUS, SIT, SMU, SUSS & SUTD

    • data.gov.sg
    • developers.data.gov.sg
    Updated Mar 5, 2026
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    Ministry of Education (2026). Graduate Employment Survey - NTU, NUS, SIT, SMU, SUSS & SUTD [Dataset]. https://data.gov.sg/datasets?topics=education
    Explore at:
    Dataset updated
    Mar 5, 2026
    Dataset authored and provided by
    Ministry of Education
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Oct 2013 - Mar 2025
    Description

    Dataset from Ministry of Education. For more information, visit https://data.gov.sg/datasets/d_3c55210de27fcccda2ed0c63fdd2b352/view

  17. Z

    U.S. Education Market By Type (Cloud and On-Premise), By Content...

    • zionmarketresearch.com
    pdf
    Updated Mar 23, 2026
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    Zion Market Research (2026). U.S. Education Market By Type (Cloud and On-Premise), By Content (Text-Based, Video-Based, Audio-Based, and Others), By Education Type (Higher Education, K-12, Pre-K, and Others), and By Region - Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2024 - 2032 [Dataset]. https://www.zionmarketresearch.com/report/us-education-market
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    pdfAvailable download formats
    Dataset updated
    Mar 23, 2026
    Dataset authored and provided by
    Zion Market Research
    License

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

    Time period covered
    2022 - 2030
    Area covered
    Global, United States
    Description

    The U.S education market size was worth USD 1,601.97 billion in 2023 and is expected to hit USD 2,506.56 billion by 2032, at CAGR of 5.10% from 2024-2032

  18. Persons aged 25-64 with tertiary educational attainment level by sex and...

    • ec.europa.eu
    • db.nomics.world
    • +1more
    Updated Feb 2, 2026
    + more versions
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    Eurostat (2026). Persons aged 25-64 with tertiary educational attainment level by sex and NUTS 2 region [Dataset]. http://doi.org/10.2908/TGS00109
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    application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+csv;version=1.0.0, tsv, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+xml;version=3.0.0, jsonAvailable download formats
    Dataset updated
    Feb 2, 2026
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2013 - 2024
    Area covered
    Jihozápad, Provincia Autonoma di Bolzano/Bozen, Kütahya, Manisa, Uşak, Afyonkarahisar, País Vasco, Niederbayern, Oberfranken, Provence-Alpes-Côte d’Azur, Southern Scotland (NUTS 2021), Pomorskie, Småland med öarna
    Description

    Percentage of the population aged 25-64 who have successfully completed tertiary studies (e.g. university, higher technical institution, etc.), according to the EU Labour Force Survey. The attainment level refers to ISCED (International Standard Classification of Education) 2011 level 5-8 for data from 2014 onwards and to ISCED 1997 level 5-6 for data up to 2013.

  19. p

    Distribution of Students Across Grade Levels in Keating Continuing Education...

    • publicschoolreview.com
    Updated Oct 31, 2025
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    Public School Review (2025). Distribution of Students Across Grade Levels in Keating Continuing Education [Dataset]. https://www.publicschoolreview.com/keating-continuing-education-profile
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    Dataset updated
    Oct 31, 2025
    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

    Description

    This dataset tracks annual distribution of students across grade levels in Keating Continuing Education

  20. p

    Distribution of Students Across Grade Levels in Education Donaldson...

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    Public School Review, Distribution of Students Across Grade Levels in Education Donaldson Education Center [Dataset]. https://www.publicschoolreview.com/education-donaldson-education-center-profile
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    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

    Description

    This dataset tracks annual distribution of students across grade levels in Education Donaldson Education Center

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Dr. Sujatha R (2021). Online Education System - Review [Dataset]. https://www.kaggle.com/datasets/sujaradha/online-education-system-review
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Online Education System - Review

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6 scholarly articles cite this dataset (View in Google Scholar)
zip(14938 bytes)Available download formats
Dataset updated
Dec 30, 2021
Authors
Dr. Sujatha R
Description

Pandemic has influenced all spheres of the humanity. COVID-19 impacted the education vertical in larger manner. Traditional classroom environment plays a very vital role in molding the life of an individual. Bond nurtured in the early ages of the life acts as the great moral support in the latter stages of the journey. As the pandemic has forced us into online education, this data collection aims to analyze the impact of online education. To check out the satisfactory level of the learners, review was conducted.

Gender – Male, Female Home Location – Rural, Urban Level of Education – Post Graduate, School, Under Graduate Age – Years Number of Subjects – 1- 20 Device type used to attend classes – Desktop, Laptop, Mobile Economic status – Middle Class, Poor, Rich Family size – 1 -10 Internet facility in your locality – Number scale (Very Bad to Very Good) Are you involved in any sports? – Yes, No Do elderly people monitor you? – Yes, No Study time – Hours Sleep time – Hours Time spent on social media – Hours Interested in Gaming? – Yes, No Have separate room for studying? – Yes, No Engaged in group studies? – Yes, No Average marks scored before pandemic in traditional classroom – range Your interaction in online mode - Number scale (Very Bad to Very Good) Clearing doubts with faculties in online mode - Number scale (Very Bad to Very Good) Interested in? – Practical, Theory, Both Performance in online - Number scale (Very Bad to Very Good) Your level of satisfaction in Online Education – Average, Bad, Good

radhakrishnan, sujatha (2021), “Online Education System - Review”, Mendeley Data, V1, doi: 10.17632/bzk9zbyvv7.1

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