Multistage sampling in public health surveys can lead to underestimated errors if not properly accounted for in analysis. Using a method that considers the sampling design can provide more accurate variance estimates compared to the commonly used ultimate cluster variance estimate (UCVE). As the sampling fraction of primary sampling units increases, UCVE tends to produce biased estimates, while the method considering multistage sampling design gives more accurate results.