Thanks for all the responses. It's pretty clear that averages never speak for every neighborhood and every price range house, but, averages aren't supposed to do that. They are supposed to act as signals, of sorts. As an example, take NYC and Macon, GA. NYC may have numbers like price $800k, rental $2000, ratio 0.25%. Macon may have price $80k, rental $700, ratio 0.88%. Of course that doesn't mean every house, every area, every time - but seeing 0.25% and 0.88% would be a pretty strong indication of what to expect as one starts scanning the local market.
I am using CL to get data. As with anything else, I'm using that data with a grain of salt. I have been advertising a house for rent for 3 months there, starting at $1,450... then $1,375... and now $1,295. So who knows what's real. I used to get $1,475 a month for years, but that particular city has seen a reduction in rents. Better would be to get MLS rental data where the actual rent figure is entered. But in any case, CL data will have some meaning, and I think I will discount rental figures by 10% to give a more realistic view.
As a real example of what I'm considering, Indianapolis has popped up on my radar. It seems the price to rent ratio there is often 1.2% or higher for the smaller houses. The thing I'm considering now is, yeah it's a better rent, but repairing the roof, putting in new carpet every few years, painting, replacing a stove, all those things cost the same for a $60,000 house as a $200,000 house, but it's going to hurt a whole lot more on the bottom line. In the same way that smaller houses sell for more per s.f., it almost seems like smaller houses need to command a higher rent per s.f. to offset some of the costs that are the same no matter the size of the house. From my early research, it seems like Cleveland, Cincinnati, and Indianapolis all have a good possibility. I need to look into occupancy rates next.
Alex