Dataset Overview 📝

The dataset includes the following key indicators, collected for over 200 countries:

• Government Expenditure on Education (% of GDP): Shows the percentage of a country’s GDP allocated to education.
• Literacy Rate (Adult Total): Represents the percentage of the population aged 15 and above who can read and write.
• Primary Completion Rate: The percentage of children who complete their primary education within the official age group.
• Pupil-Teacher Ratio (Primary and Secondary Education): Indicates the average number of students per teacher at the primary and secondary levels.
• School Enrollment Rates (Primary, Secondary, Tertiary): Reflects the percentage of the relevant age group enrolled in schools across different education levels.

Data Source 🌐

World Bank: This dataset is compiled from the World Bank's educational database, providing reliable, updated statistics on educational progress worldwide.

Potential Use Cases 🔍 This dataset is ideal for anyone interested in:

Educational Research: Understanding how education spending and policies impact literacy, enrollment, and overall educational outcomes. Predictive Modeling: Building models to predict educational success factors, such as completion rates and literacy. Global Education Analysis: Analyzing trends in global education systems and how different countries allocate resources to education. Policy Development: Helping governments and organizations make data-driven decisions regarding educational reforms and funding.

Key Questions You Can Explore 🤔

How does government expenditure on education correlate with literacy rates and school enrollment across different regions? What are the trends in pupil-teacher ratios over time, and how do they affect educational outcomes? How do education indicators differ between low-income and high-income countries? Can we predict which countries will achieve universal primary education based on current trends?

Important Notes ⚠️ - Missing Data: Some values may be missing for certain years or countries. Consider using techniques like forward filling or interpolation when working with time series models. - Data Limitations: This dataset provides global averages and may not capture regional disparities within countries.

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

The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education. The query also holds learning outcome data from international and regional learning assessments (e.g. PISA, TIMSS, PIRLS), equity data from household surveys, and projection/attainment data to 2050. For further information, please visit the EdStats website.

For further details, please refer to https://datatopics.worldbank.org/education/wRsc/about

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

http://data.worldbank.org/data-catalog/ed-stats

https://cloud.google.com/bigquery/public-data/world-bank-education

Citation: The World Bank: Education Statistics

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @till_indeman from Unplash.

Inspiration

Of total government spending, what percentage is spent on education?

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all : Access to education has improved, shown through increased attendance levels in early childhood, primary and secondary school in the Pacific region. Goal 4 highlights the need to focus on improving the quality and relevance of education and cognitive learning outcomes, since literacy and numeracy improvements have not made the expected gains for all. There is also a renewed focus on lifelong learning with early childhood care education and post-secondary education and training needing priority attention; The quality of educational facilities in some countries in the region, especially for girls and students with disabilities, is below standard.

Find more Pacific data on PDH.stat.

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

This chart shows the annual number of peer-reviewed articles affiliated with Education and the percentile among schools. The percentile is computed from peer-reviewed articles with identified schools; articles without identified schools are excluded.

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Metadata-only record linking to the original dataset. Open original dataset below.

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.

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

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Maryland has 200+ higher education facilities located throughout the entire State. Maryland boasts a highly educated workforce with 300 - 000+ graduates from higher education institutions every year. Higher education opportunities range from two year - public and private institutions - four year - public and private institutions and regional education centers. Collectively - Maryland's higher education facilities offer every kind of educational experience - whether for the traditional college students or for students who have already begun a career and are working to learn new skills. Maryland is proud that nearly one-third of its residents 25 and older have a bachelor's degree or higher - ranking in the top 5 amongst all states. Maryland's economic diversity and educational vitality is what makes it one of the best states in the nation in which to live - learn - work and raise a family. Last Updated: 06/2013 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Education/MD_EducationFacilities/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

TN: Educational Attainment: At Least Completed Primary: Population 25+ Years: Male: % Cumulative data was reported at 85.190 % in 2012. This records an increase from the previous number of 84.884 % for 2011. TN: Educational Attainment: At Least Completed Primary: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 84.265 % from Dec 2008 (Median) to 2012, with 4 observations. The data reached an all-time high of 85.190 % in 2012 and a record low of 81.915 % in 2008. TN: Educational Attainment: At Least Completed Primary: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed primary education.; ; UNESCO Institute for Statistics; ;

With the goal of enhancing future views of the Metaverse as an educational tool

This dataset contains data on the number of students in schools and universities categorized by level of education (Pre-primary, Primary, etc.), type of education (Government, Private), and gender (Male, Female). The data provides insight into the enrollment trends across different education levels and types of schools in the region. This dataset is essential for analyzing gender and educational distribution within both government and private institutions.

The Student Performance Metrics Dataset provides a diverse collection of academic and non-academic attributes aimed at evaluating factors influencing student performance in higher education. It enables researchers to analyse relationships between student demographics, academic achievements, socio-economic factors, and extracurricular activities.

Dataset Attributes: Department: The academic department the student is enrolled in (e.g., Computer Science, Business, etc.). Gender: The gender of the student. HSC: Score obtained in higher secondary education. SSC: Score obtained in secondary school education. Income: Monthly family income of their parents. Hometown: The type of area where the student resides (e.g., urban, rural). Computer: Proficiency level in computer usage. Preparation: Time spent on study preparation outside class hours. Gaming: Time spent on gaming activities daily. Attendance: Regularity in class participation. Job: Indicates if the student has a part-time job. English: Proficiency in English communication skills. Extra: Participation in extracurricular activities. Semester: Current semester the student is enrolled in. Last: Performance in the last semester. Overall: Cumulative Grade Point Average (CGPA).

Purpose and Use Cases: The dataset serves as a resource for educational research, enabling trend analysis and the development of predictive models for academic success. Researchers can explore the impact of socioeconomic status, gender, and extracurricular activities on student performance. Potential use cases include building machine learning models to predict performance and analyzing factors that contribute to student success or dropout risks.

Limitations: This dataset does not cover all potential influences on student performance, such as personal motivation or health. Future studies can enhance this dataset by including additional variables.

Acknowledgments: This dataset is compiled as an open resource for academic research. Proper citation is appreciated in academic works utilizing this dataset.

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

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

As of April 2026, approximately 32 percent of people in Great Britain thought that education nationally was good, compared with 39 percent who thought it was bad, and 29 percent who were not sure if it was good or bad.

Maryland has 200+ higher education facilities located throughout the entire State. Maryland boasts a highly educated workforce with 300,000+ graduates from higher education institutions every year. Higher education opportunities range from two year, public and private institutions, four year, public and private institutions and regional education centers. Collectively, Maryland's higher education facilities offer every kind of educational experience, whether for the traditional college students or for students who have already begun a career and are working to learn new skills. Maryland is proud that nearly one-third of its residents 25 and older have a bachelor's degree or higher, ranking in the top 5 amongst all states. Maryland's economic diversity and educational vitality is what makes it one of the best states in the nation in which to live, learn, work and raise a family.

The historical dataset of Early Education Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2001-2024),Total Classroom Teachers Trends Over Years (1998-2024),Student-Teacher Ratio Comparison Over Years (2001-2024),Asian Student Percentage Comparison Over Years (2006-2024),Hispanic Student Percentage Comparison Over Years (2007-2024),Black Student Percentage Comparison Over Years (2007-2024),White Student Percentage Comparison Over Years (2001-2024),Two or More Races Student Percentage Comparison Over Years (2013-2024),Diversity Score Comparison Over Years (2007-2024),Free Lunch Eligibility Comparison Over Years (2014-2024),Reduced-Price Lunch Eligibility Comparison Over Years (2014-2024)