We analyzed data from a nationwide, population-based web survey on headache and sleep conducted in South Korea in October 2020 (N=3,030). Participants reporting headache within the previous year (n=1,938) were included. Latent class analysis (LCA) was performed on categorical indicators frequently used in ICHD-3 diagnostic algorithms (e.g., intensity, duration, laterality, pulsating quality, nausea/vomiting, photophobia, phonophobia). The optimal number of classes was selected by standard fit criteria and interpretability. We then examined the characteristics of each class and distribution of ICHD-3 diagnoses (migraine, PM, TTH, other headache disorders) within each class.