Description
The Future to Discover (FTD) project data file is a rich longitudinal database containing information on a cohort of secondary school students that has been followed for 6 years. The FTD Project randomly assigned these secondary school students to three program groups: no intervention; one intervention; or two interventions. The target population includes all Grade nine students in the province of New Brunswick and Manitoba who are Canadian citizens or landed immigrants to Canada.
Statistics Canada, in collaboration with the provincial and territorial ministries of education, Employment and Social Development Canada (ESDC), and other stakeholders, has developed the Education and Labour Market Longitudinal Platform (ELMLP).
The ELMLP allows longitudinal integration of administrative data related to education with other data sources to create anonymized, customized datasets for analytical purposes.
Update:
An update to the T1 Family File (T1FF) data for the Future to Discover (FTD) project is now available. The FTD data can be integrated with other files from the Education and Labour Market Longitudinal Platform (ELMLP).
The update consists of:
- Three new years of T1FF outcomes for the FTD population, from the 2020 to 2022 tax year, as a single stacked file.
- Updated documentation for the tax data based on the newest ELMLP T1FF Dictionary.