These statistical tables are one of the results from a project undertaken by Statistics Canada on behalf of the Treasury Board Secretariat (TBS) in support of the Horizontal Innovation and Clean Technology Review. They were produced from program data provided by 22 federal government departments and Crown corporations and their subsequent integration into Statistics Canada’s Linkable File Environment (LFE), which comprises a large number of administrative and survey data linked at the enterprise level. More than 430,000 individual records were collected, from 98 program streams over the 2007-2016 period. Program streams were also grouped in seven aggregate categories: grants, repayable contributions, non-repayable contributions, conditional repayable contributions, financing, government performed services and other. Program recipients at the enterprise level (whether for-profit or public entities) were matched to Statistics Canada’s Business Register (BR), which contains all active enterprises in Canada, and then linked to the LFE using both deterministic (Business Numbers) and probabilistic techniques. A high match rate was achieved, representing 89.4% of all records and 96.6% of funds, corresponding to 88,415 unique recipient enterprises over the reference period. Relevant data for these enterprises, such as financial and employment variables, industry, location, profit and exporter status, were then extracted from the LFE.
- Publisher - Current Organization Name: Treasury Board of Canada Secretariat
- Licence: Open Government Licence - Canada
Data and Resources
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1- Departments and AgenciesCSVEnglish dataset CSV
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1- Departments and AgenciesCSVFrench dataset CSV
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2- Sub-set Departments and Agencies: For-Profit Enterprises OnlyCSVEnglish dataset CSV
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2- Sub-set Departments and Agencies: For-Profit Enterprises OnlyCSVFrench dataset CSV
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3-Integrated data from Departments, Agencies, Crown Corporations and SDTCCSVEnglish dataset CSV
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NOTE TO ACCOMPANY STATISTICAL TABLES FOR THE HORIZONTAL PROGRAM REVIEWDOCXEnglish French specification DOCX
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3-Integrated data from Departments, Agencies, Crown Corporations and SDTCCSVFrench dataset CSV