I'd be surprised if the complex doesn't have individually metered units so you may be able to eliminate the utility expenses unless those are for common areas like walk ways, parking lot or laundry.

Data can be sorted by property type, lien position, LTV, and even the seller's proximity to the property. 

My weekly podcasts will also help you get a better feel of our market and then might help you learn our market quicker and with more data. 

I just reached out to a host on Airbnb who has properties I want to try and model mine after (based on AirDNA data).

The Austin metro was among the hottest destinations in the country for where people were moving last year, according to the latest annual ranking from U-Haul International Inc.Austin ranked No. 5 among the top U.S. growth metros in 2024, and Texas was the No. 2 state for move-ins — bested from the top spot after three consecutive years by South Carolina, according to data released Jan. 2 and Jan. 3.The Dallas-Fort Worth-Arlington area took the crown for the top growth metro in the recent list, followed by Charlotte, North Carolina (No. 2); Phoenix (No. 3); and, Lakeland, Florida (No. 4).

I really would want to stay away from any office properties in depressed or even semi-depressed neighborhoods, especially large ones (like a 13 unit complex).

That would almost always be from the same lender who has a 1st AND 2nd on the property and they are just fed up with the owner and are taking the opportunity to get out of a bad situation entirely.Sorry, it's complex enough that it isn't a 15 minute class.

I use quicken and enter all categorized data the beginning of each month.

If you are just downloading data room info from brokerage sites and plugging into a model, you are refining your skills on the "act", which is certainly necessary and helps make the process faster.  

Does anyone know where you could find median income data by area in Portugal?