Sampling for surveys: Stratified random sampling

These instructional videos provide a guide and examples of how to apply stratified random sampling.

Stratified random sampling is a probabilistic sampling method in which the first step is to split the population into strata, i.e. sections or segments. The strata are chosen to divide a population into important categories relevant to the research interest.

For example, if interested in school achievement, we may want to first split schools into rural, urban, and suburban as school achievement on average may be quite distinct between these regions. The second step is to take a simple random sample within each stratum. This way, a randomised probabilistic sample is selected within each stratum. Each stratum should be mutually exclusive (i.e. every element in the population can be assigned to only one stratum), and no population element can be excluded in strata construction.

Stratified random sampling video

This video explains the process of creating a stratified random sample.


Stratified random sampling Stata walkthrough

This video describes how to use the software program Stata to create a stratified random sample.


IDinsight. (2021). Stratified random sampling and Stratified random sampling in Stata. Retrieved from:

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