I've spent a lot of time digging into this, and as an economist I understand the limitations of statistical collection at a micro level. Let me just walk you through this.
What we want is comprehensive, accurate, timely and cost-effective data. At a micro community level, whether it's a small town or a reserve, this data does not currently exist in Canada, because the labour force survey is not a sufficiently granular tool for statisticians to be able to accurately predict, based on the surveys they do, what the micro labour market conditions are.
This data is not just absent for indigenous communities. If you ask the Government of Canada for the micro labour market data on the community of Canso, we are not able to give you assurance around that because the statistical collection tools do not allow us to have comprehensive, accurate and timely data that will do that.
We have embarked—this was based on funding that came through budget 2015—on a groundbreaking strategy, working with indigenous partners to try to collect that data at the micro level in an accurate way. Not only is that going to take time, but I want to be clear with the committee members that we are on ground where Statistics Canada would say it is going to be very difficult to achieve success.
Why would I say that? A survey will be the dominant vehicle that we use to collect data. If, in a large national survey, you have a low response rate, you can statistically adjust those results to equalize for regional data. If you're at a small community level and 30% of people don't fill out the survey, those results will not be comprehensive or accurate, because you're not able to project based on that data rate.
Another challenge we have is the frequent movement of individuals on and off reserves, which quickly changes the accuracy of the data. In this pilot, we're going to do annual collection—not monthly, which would be much more expensive—so the accuracy of that data will be a challenge. Statistics Canada, with the most expertise in the country in this area, has cautioned us that this is a very challenging endeavour we're undertaking.
The other feature of the endeavour, as you indicated earlier, is that we're doing it with indigenous partners and having them train the individuals to collect the data, because they believe they will get higher response rates if they do that.
I guess we're highlighting that we would love to have this data. No such data exists in Canada for any community. We are trying a pilot that will work through this, but there are real questions around whether at the end of this pilot we will be able to demonstrate that in a timely, cost-effective way, we can get comprehensive and accurate labour market data at the micro community level, because we've never done that before.
We are putting all of our efforts into trying to do this, starting with four communities and expanding to 44, but we have not, with the statistical experts in government and outside, been able to find shortcuts to get this type of data, which does not exist.
The Auditor General is absolutely right to point out that this absence of data in all small communities is a real gap, because if those communities are trying to predict workforce needs, having that data would be important. Again, I would point out that the data does not exist in any small community anywhere in the country. The statistical tools of the labour force survey are not able to give you that reliable data at the micro level.
This is how we're trying to take the approach, but it is going to take time. I want to be clear with the committee that there is no guarantee we're going to succeed.