# Why is it important that estimators are unbiased and consistent?

I am clear on the definition of unbiasedness and consistency. But why are these the criteria we use to judge whether an estimator is a good one? There are other criteria, of course, like the variance of the estimator (we would like one with low variance). Is the variance condition secondary? If so, why? Are there other criteria that are secondary? If so, why?