First off, I live here and love it here- but for more of the numbers / data side of things, the average duplex price is $200k (in more desirable areas you are looking at $300k - $450k), super consistent and steady appreciation (right around 8% YoY for the last 4 years), 2nd strongest renters market in the US this year after Miami, 3rd most duplexes of any city after New York & Chicago... the list goes on 

For example, have you used smart home devices, community engagement platforms, or data analytics to better understand and meet tenant needs?

However, I got a $260k upper on an appraisal once (highest I have achieved).  

like what most people don't get about the AI is that, currently, in 2024, the AI will become a sudden giant because there's world war three among data centre elephant and data modeler : microsoft vs google vs meta vs amazon, they are the one that's buying thousand of nvidia gpu with the hop one day that one small company or startup can replace the incumbent like google , pfizer All their purchase makes every single nvidia employee can buy a house in santa clara county easily lol. it would impact REI by a lot later on as employment and employability or group of persons would change.

Good on you for making the decision you did - bottom line, we have to make hard decisions every day with the data we have stacked against our own experience and professionalism. 

What do you find as the best data source for house prices? 

It seems that this is a great way to get started in real estate (Jay, I know that's one of the ways you got started), but it doesn't seem as easy to find info on comps and data for raw land as it does for houses, multifamily, townhomes, etc. 

Since multifamily requires trailing data to sell, typically a minimum of 3 months, building that data during this phase can be very advantageous to position your property for a sale in the next phase, at the height of the market.Today we are arguably in a Recession phase in the majority of multifamily markets.

Whether browsing areas or specific properties, touching, tasting and feeling the property and it's surroundings are essential data points.

They had pretty graphs and data, but instead they cashed out your 401k and spent the money on shake weight exercise devices.