Cross-section data is data that is collected by analyzing different sets of data from different sources at a particular time. This type of statistical information is useful when observing habits within a country, such as eating habits, voting habits, and drinking habits. Applying a certain set of questions to a certain number of people in different areas, and collating the information to achieve a realistic picture that is relevant to a nation or an area as a whole makes this data useful. Another example of cross-section data is business data collected to see the popularity of certain products at a particular time, and this is known as market research.