Here's some data for you to consider. Note that the vertical axes start at $500 USD.
For the number of bedrooms, each locations price is compared. Notice groupings where UCCS housing prices are competitively determined.
The numbers in the legend are the number of bedrooms. This can help visualize the range of prices afforded by each apartment complex. The highest and lowest points represent the maximums and minimums of a locations price range respectively.
The rest of this is pretty neat if you like math...
Here are fitted curves produced by the pricing data (not the best fit, but the fit that best represents the real market). These can help show what pricing schema are normal, where points not near the fitted curves represent pricing that deviates from the schema, either due to competition or other factors. Notice also the R^2 values which indicate the correctness of the fit as a percentage.
By plotting the first graph on a logarithmic scale, the trend lines generated earlier become almost linear visually. It is interesting that in a real world market, housing prices follow an almost logarithmic trend.