OECD, EU, G20 World Student Success Rates

Since 2000
Student Success Rate

Student success rate data for 46 countries (OECD, EU, Eurozone, G20 and G7) from 2000 to 2018

This is an example data from history; subscriber data is updated daily
Charts of OECD, EU, G20 World Student Success Rates


  • Supplementary information for country based analysis
  • Benchmarking between countries based on given indicators
  • Trends on education spending


OECD, EU, G20 World Student Success Rates


In this data product, along with PISA (Programme for International Student Assessment) results data, you will also have other supplementary indicators' data consolidated to evaluate worldwide student success rates.

PISA is a worldwide study by the OECD (Organisation for Economic Co-operation and Development) in member and non-member nations intended to evaluate educational systems by measuring 15-year-old school pupils' scholastic performance on mathematics, science, and reading. It was first performed in 2000 and then repeated every three years. Its aim is to provide comparable data with a view to enabling countries to improve their education policies and outcomes. It measures problem solving and cognition.

Country Coverage

46 countries are covered: all 37 OECD countries, 22 (out of 27) European Union countries (exc. Bulgaria, Croatia, Cyprus, Malta, and Romania), 17 (out of 19) Eurozone countries (exc. Cyprus and, Malta), all G20 countries and all G7 countries

Metric Coverage

In this data product, you will have 6 key indicators covered related to the world student success rates:

  1. Reading performance (PISA) measures the capacity to understand, use and reflect on written texts in order to achieve goals, develop knowledge and potential, and participate in society. (The mean score is the measure.)

  2. Mathematics performance (PISA) measures the mathematical literacy of a 15 year-old to formulate, employ and interpret mathematics in a variety of contexts to describe, predict and explain phenomena, recognizing the role that mathematics plays in the world. (The mean score is the measure.)

  3. Science performance (PISA) measures the scientific literacy of a 15 year-old in the use of scientific knowledge to identify questions, acquire new knowledge, explain scientific phenomena, and draw evidence-based conclusions about science-related issues. (The mean score is the measure.)

  4. Students per teaching staff ratio is the total number of full-time equivalent students enrolled at a specific level of education divided by the total number of full-time equivalent teachers at the same level. (Teachers refer to professional personnel directly involved in teaching students, this does not include teachers' aides and other paraprofessional personnel.)

  5. Teaching hours indicator presents preparation time and statutory teaching time. (Teaching time is the number of hours spent teaching a group or class of students according to the formal policy in the country; preparation time is the time spent preparing for teaching.)

    - For pre-primary, primary, lower secondary and upper secondary schools, teaching time is presented in hours per year. For lower secondary schools, both teaching time and preparation time are shown in hours per week.

  6. Education spending covers expenditure on schools, universities and other public and private educational institutions. Spending includes instruction and ancillary services for students and families provided through educational institutions. Spending is shown in USD per student and as a percentage of GDP.

Data Collection Methodology

  • Data is cleansed and organized to provide a ready for analysis dataset
  • Data updates from OECD Data

Key Features

  • Historical data available from 2000 to 2017
  • Six key indicators covered related to the world student success rate
  • Covering 46 countries (OECD, EU, Eurozone, G20, G7)

Data Provider

Alta Bering

Until a few decades ago majority of us were employed in real world businesses. Alta Bering came out of a history of production technology and reconciled it with sophisticated algorithmic math, an after-thought in enterprise system functionality.We believe efficiency is key to mitigating scarcity economics. In the early 2000s, we set our sights on helping companies achieve higher efficiency and growth, not just growth.Today we enable advanced prescriptive analytics for data scientists and enterprise cloud platforms. Our goal is to help business analysts step up to corporate responsibility.Contact us for more about how we deliver our predictive analytics consulting to large and medium sized clients.

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