Also to focus on actual B-class pockets, I would also suggest extracting data by crime statistics, median household income and school ratings.

Companies like Latchel and Lula can take incoming maintenance calls 24/7, triage the issue, dispatch vendors, and even handle updates and data entry back into your software.

Way less competition and still good inventory of older buildings and properties.Challenging for sure, but from the data you are sharing, it sounds like buying low properties that need to be renovated and selling high with the new remodeled condos!

Travel helps, but pairing that with local data and honest operational feedback is what really moves the needle.I work in RE mgmt in several cities (rentals) around the area, more than happy to provide more insight into what I am seeing if needed. 

They already understand tenant-in-place deals, realistic returns, and the operational side, so there’s far less friction.A few things that have helped:• Create a private investor list/program specifically for off-market or “tenant in place” opportunities• Put together a very detailed pro forma using real management data rental history expenses turnover assumptions maintenance trends etc• Set expectations upfront that showings are limited and typically only after an accepted or near-accepted offer due to tenant logistics• Offer portfolio or management incentives for buyers who take on multiple properties or keep management in place• Cross-market directly to owners already under management before going publicThe right investor values the existing cash flow and stability and understands the constraints that come with occupied properties.

Also, the following observations focus on single-family homes, as there is limited publicly available data on multifamily properties.

December inflation data was released yesterday (Tuesday, January 13th) and PPI stayed calm: headline +0.2%, goods +0.9% (energy‑driven), and services flat, keeping pipeline inflation contained.

Where did you find the shooting data?

There's often additional interesting info on a bank statement - if you know how to intrepret the data.- Also, average their income over at least 3-4 months, do NOT assume they always work 40 hours/week, 52 weeks/year! 

Category‑level data showed shelter (+0.4%) and food (+0.7%) as key contributors to the monthly increase, while energy rose a modest 0.3%, broadly aligning with the headline figure.