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The use of societal data in environmental research has indicated a need for considering uncertainties of data. Several fundamental conditions for statistical treatment are occasionally not met. The choice is either to use or to ignore the uncertain data. If used, it may impair the quality of the result. If ignored, a possible environmental risk may remain unattended. This article discusses some of the problems encountered with data in urban heavy-metal metabolism, and suggests a method based on uncertainty intervals to consider the uncertainties.