Count data refers to numerical data that represents the number of occurrences of an event within a specific time period or space. This type of data is often used in fields like epidemiology, economics, and social sciences to analyze frequency and patterns. Examples include the number of customers visiting a store, the count of species in a habitat, or the tally of votes in an election. Count data is typically non-negative, meaning it cannot be less than zero, and it often follows a Poisson distribution when events occur independently. Statistical methods, such as Poisson regression, are commonly employed to model and analyze count data, helping researchers understand relationships and make predictions based on the observed counts.