If tenant demand stays steady at different times of year, days on market stay tight, and rent-to-income ratios don’t stretch beyond what’s sustainable for the local workforce, that’s usually the signal that the neighborhood has real depth and not just good-looking spreadsheets.A few miles can change the entire tenant pool, so I treat stability of demand as the first filter and everything else as supporting data.

I have questions about how to find data about demand and how to price the rooms.

The big pieces are: (1) you must place the property in service before 12/31 that means livable, furnished, photographed, and actually listed; (2) you need to meet one of the STR material-participation tests, which usually means putting in 100+ hours yourself and doing more than anyone else; and (3) the cost seg firm needs enough time to run the study and deliver the report so your CPA can book the depreciation.

Two quick tips: pick one market to test for 30–60 days with a tight buy box, and have a local PM sanity‑check rents, taxes, and neighborhoods before you underwrite anything.Of Indy, Columbus, Raleigh, and Charlotte, which one do you want to run first, and what’s your initial buy box so we can sharpen it?

Why isn’t your question “Who is sharing false data with the city?”

Most people hear 100 hours = unlimited deductions and never realize the real test is outworking everyone else, especially the property manager.

The largest included Meta's $7.5 billion Hyperion data center in Louisiana, the $2 billion LA Convention Center expansion, and Eli Lilly's $1.7 billion manufacturing facility in Indiana.

Hi @Michael Smythe, here are a few data points that may help:Motivation for Investing: Income Replacement / RetirementRisk Tolerance:MediumType of Investing:Wholesaling- How are you going to find motivated sellers willing to sell for LESS than market value?

The 30-year fixed is sitting at 6.28% today, and if you’ve been circling a property that’s been sitting too long, this is the moment to lean in and test the waters.Take an 80% offer at something stale.

Try running the search with the initial criteria I laid out, save that data and then run the same search with "vacant" added.