And, how do you recognize through all the information you may find, the data that really matters?

A commercial leasing broker will also have data on new restaurants wanting to come into the area or exiting that want to move and lease is expiring.

Interesting data for the conversation about SF properties as a source of capital preservation, and significant (fairly reliable) appreciation.

This article didn't mention the socio-economic correlation (if any) with the groups who are seeing increased birthrates, and without that data, it's difficult to make a correlation to future real estate trends (again, assuming fair housing laws are still in effect).

Historically, appreciation has just matched inflation: Link to graph That's the inflation adjusted, long term Case Shiller home price data, updated by the NY Times.

And also by providing FACTUAL data that may have been overlooked or omitted.

If you are near the border it may be worth it to look into more but if you are not then you are pretty much stuck paying the premiums.The maps are updated as technologies, methods and data become better at predicting which areas are higher risk but that is out of your control.

And at the end of the day, it still a human being that is entering the data so it's prone to obvious mistakes.

I've been trying to find a breakdown of the data, but I can't find anything so far.

Here are data that I have heard:"Old" windows probably have an R value of about R-1.