Cross-sectional data refer to observations of many different individuals (subjects, objects) at a given time, each observation belonging to a different individual. A simple example of cross-sectional data is the gross annual income for each of 1000 randomly chosen households in New York City for the year 2000. Cross-sectional data are distinguished from longitudinal data, where there are multiple observations for each unit, over time.
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