I have about 950 individuals nested within 800 neighborhoods in my data set. I am looking at the effects of neighborhood disadvantage on educational outcomes and it looks like I have some dependent variables which have some levels of ICCs. Does it make sense to run multilevel modeling in this case, even though I have only one individual per neighborhood for many neighborhoods? Would you please recommend an alternative to mlm if multilevel modeling would not be ideal in this case? Thank you.