Use this tool to search how the Government of Canada spends money. The data in this tool comes from multiple publicly available Government of Canada sources including Grants and Contributions, Contracts over $10K, the Public Accounts' transfer payments, research funding databases (SSHRC, NSERC, CIHR), and Global Affairs Canada projects. Type in one or more keywords and filter the results by year, department, recipient, program or location to explore the data. Contracts of $10,000 and under are published only as each department's yearly totals, which its spending page shows.
Program:Contributions for First Nations and Inuit Health Infrastructure Support
Contributions for First Nations and Inuit Health Infrastructure Support
2016-17
$271,150.00
Serpent River First Nation, Cutler, Ontario
Department of Health
Contributions for First Nations and Inuit Health Infrastructure Support
2017-18
$271,072.00
Serpent River First Nation, Cutler, Ontario
Health
Contributions for First Nations and Inuit Health Infrastructure Support
2016-17
$271,072.00
Association of Iroquois and Allied Indians, London, Ontario
Department of Health
Contributions for First Nations and Inuit Health Infrastructure Support
2017-18
$270,949.00
Association of Iroquois and Allied Indians, London, Ontario
Health
Contributions for First Nations and Inuit Health Infrastructure Support
2016-17
$270,949.00
Conseil de Bande des Abenakis de Wolinak, Wolinak, Quebec
Health
Contributions for First Nations and Inuit Health Infrastructure Support
2015-16
$270,713.00
Stoney Tribes Cochrane Alta
Health
Contributions for First Nations and Inuit Health Infrastructure Support
2011-12
$270,577.00
Mohawks of the Bay of Quinte, Deseronto, Ontario
Health
Contributions for First Nations and Inuit Health Infrastructure Support
2015-16
$270,253.00
While we make every effort to ensure accuracy, we rely on government-released information and cannot guarantee completeness or correctness. Users access and use this tool at their own risk, and Canada Spends is not responsible for any errors or omissions in the data.