Canadian housing prices have soared since the Great Recession.

The result? Many families are forced to pony up substantial sums in order to fulfill their home ownership dreams, leaving some house poor and vulnerable to financial shocks.

How pervasive is the problem? It's a question we've probed in this Globe and Mail project – and in doing so, we've uncovered several stories of Canadians feeling pinched by hefty mortgages.

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But first, we needed data.

To that end, in late October we published the Real Life Ratio calculator, developed by Globe personal finance columnist Rob Carrick with input from accredited financial planners. The tool tells readers what percentage of their take-home pay is being used for key monthly expenditures (eg. mortgages, car leases, daycare, etc.) and ultimately, whether they're financially sound or overextended.

We also used the tool to collect reader data to inform our stories. (Don't worry: This was disclosed in the preamble to the calculator. Reader participation was strictly voluntary.)

The response was overwhelming. More than 50,000 submissions flooded in within a few days of calculator being published.

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After eliminating anonymous and duplicate submissions, we narrowed the responses down to 1,318.

Here's what we found out:

To arrive at these conclusions, we needed to clean up the data. Why? Because the data were very, very messy.

For one, any time a reader clicked "Submit" we collected their input. As we've learned from publishing previous tools, readers like to resubmit different data to assess other scenarios. This time was no exception.

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Secondly, readers could submit their data anonymously. Thus, it was impossible to determine which submissions were coming from the same person.

However, some readers left additional personal details (name, e-mail address, personal details, etc.) if they were open to a Globe reporter contacting them for this project, or wanted the opportunity to receive financial advice from certified planners. This helped us immensely.

Here's how we filtered the responses:

We narrowed the responses significantly, but in doing so, the remaining data were of much higher quality, giving us a stronger foundation for our reporting.