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Rob's avatar

You're treating "Indigenous" as synonymous with "First Nations" in some cases here. Each slice of federal spending is going to have a different denominator. For example, funding for the water advisories is used narrowly by First Nations reserve communities. But education funding would include the entire funding of the on-reserve K-12 system, and a post secondary program that provides some partial funding for some First Nations people who live on reserve, those who live elsewhere, and Métis and Inuit people.

The denominator also moves. There are many people identifying as Indigenous now who previously did not, and within the Indigenous population there's shifts between groups. Statcan has discussed this (https://www150.statcan.gc.ca/n1/pub/99-011-x/99-011-x2019002-eng.htm). But it mucks up any time series for, say, education or economic outcomes.

Even something simple like counting boil water advisories gets muddied quick, as it includes things like communities that have access to clean water but have kept the advisory in place until longer term issues are addressed or that have operational issues (https://sac-isc.gc.ca/eng/1614804984275/1614805007869, https://sac-isc.gc.ca/eng/1614716060696/1614716107587 for example)

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Doug Keefe's avatar

Thanks for this. It's important to understand the results of this spending. We also need to scrutinize the methodology of the statistics. One of the unintended consequences of comparing indigenous populations and the general population is masking other factors that may contribute to outcomes. I suspect many of the outcomes attributed to indigenous people are shared by the rural poor who are lost in the general population figures. Can rural populations be, at least in a rough way, teased out of Stats Can's stats? The results might tell us more about how the indigenous spending is working and also show that there is, I suspect, another group of people who historically not been well served.

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