Melanie Dove and Katherine HeckSurveys are a common type of data set that often require special procedures to analyze accurately. Population-based, representative surveys often incorporate complex methods in data collection, such as oversampling, weighting, stratification, or clustering. Analysis of these data sets will result in incorrect estimates and may overstate significance testing if survey procedures, such as PROC SURVEYFREQ, are not used. Survey procedures use unique syntax that allow the program to adjust for the complex sample design and weighting of representative surveys.This Hands-on Workshop (HOW) will complement our half-day course on survey analysis and teach attendees how to generate frequencies, percentages, and means using SAS Survey Procedures. The HOW will explain how the SAS code adjusts for the complex survey design factors. The course will also explain how to interpret the output data from each survey procedure. The HOW will use the National Health and Nutrition Examination Survey (NHANES) and the California Health Interview Survey (CHIS) as examples. Attendees will have the opportunity to practice using SAS survey procedures on CHIS and NHANES.