If measurements within strata have lower standard deviation (as compared to the overall standard deviation in the population), stratification gives smaller error in estimation. For many applications, measurements become more manageable and/or cheaper when the population is grouped into strata. When it is desirable to have estimates of population parameters for groups within the population - stratified sampling verifies we have enough samples from the strata of interest.