The Canadian Centre for Education Statistics provides the latest information on education, training and learning by bringing together data, tools and reports.
This data portal offers access to a centralized collection of information on learners and the systems that support learning in Canada. These data are available thanks to the participation of Canadians in our surveys and our partnerships with provincial and territorial education authorities and organizations.
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Students in home-schooling, Canada - Canada
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Postsecondary education, a Maritime perspective
In recognition of our agency's 100th anniversary this year, the presentation "Postsecondary education, a Maritime perspective" explores the societal and economic evolution of education in the Maritimes over the past century.
Sustainable development goals
Goal 4 – Quality education of the Sustainable Development Goals is to ensure inclusive and equitable quality education and promote lifelong learning opportunities.
Thematic maps – Education
A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. The map may be qualitative in nature (e.g., predominant mother tongue) or quantitative (e.g., percentage population change).
The transition from school to work
The transition from school to work: the NEET (not in employment, education or training) indicator for 20 to 24 year-olds in Canada is a portrait of young Canadians aged 20 to 24 years old, who were not in education, employment or training (NEET) in 2018/2019. It explores in-depth gender-based differences, the effect of these young Canadians' highest level of education, as well as the impact of immigration and aboriginal identity.
The future of Education data
The Education and Labour Market Longitudinal Platform (ELMLP) is a platform of securely integrated anonymized datasets which are longitudinal and accessible for research and statistical purposes.
The Platform enables analysis of anonymized data on past cohorts of college/university students and registered apprentices, in order to better understand their pathways and how their education and training affected their career prospects in term of earnings.
Integrated datasets allow us to know more than what a single dataset or survey can provide. Datasets are integrated using an anonymous linkage key.
The data available within the Platform is also linkable longitudinally, allowing researchers to better understand the behaviours and outcomes of students and apprentices over time.
For more information, consult the ELMLP Technical Reference Guides, or browse findings available on the Statistics Canada website, including information on student pathways through postsecondary education, persistence and representation of women in STEM programs, labour market outcomes for college and university graduates, and pathways and earnings for registered apprentices.