Standard error
For example, consider two surveys of household income that both result in a sample average of $50,000.  If one survey has a standard error of $10,000 and the other has a standard error of $5,000, then the relative standard errors are 20% and 10%, respectively. The survey with the lower relative standard error is better, because it has a more precise measurement (the uncertainty is smaller).