About CanSaveSpace
Financial clarity for Canadians, and the market data behind the decisions.
What this is
CanSaveSpace started as a Canadian personal finance education site: plain-English writing about mortgages, credit, investing and financial planning, without the jargon or the sales pitch.
It now has a second half. Market Intelligence covers Canadian real estate markets: what a property costs, and what drives demand in the community around it.
Why the two belong together
Most property tools answer “what is this worth?” Far fewer answer “why would anyone rent here in five years?”
That second question is an economics question: who employs people locally, whether the population is growing, how concentrated the employment base is. Understanding it takes the same literacy the articles teach. So the education and the data sit in one place, under one account.
How we handle data
The software enforces each of these, and you can check them on any market page.
Every figure has a source
Population, employment and housing figures come from Statistics Canada, CMHC and government sources, each stored with its publication date, the period it covers, and a link you can open yourself.
Missing data says so
Where a source does not cover a market, we show Data unavailable with the reason, instead of an estimate, a national average or a zero.
Calculations are deterministic
Market scores and property returns are produced by tested code, not by a language model. The AI analyst explains those results and the evidence behind them; it never computes a figure, and it cannot cite one that is not in the database.
Analysis, not advice
We show what the numbers say and how confident we are in them. We do not tell you to buy anything, and a market score is not a prediction of investment returns.
Where the scoring stands
The market scoring methodology (CS-MI-1.0) is an initial model. Its weights are reasoned but not yet validated against investment outcomes, and we say so on every score. Each score also carries a separate confidence rating that reflects how much data was available to compute it.
Get in touch
Send us questions, corrections, or a market you would like covered. Corrections matter most: if a figure here is wrong, we want to fix it.