The upper range of a collected dataset is most likely accurate, but the rest may suffer biased omissions: How to call this phenomenon?
The case described can be cast as imbalanced dataset problem, or rare events problem.
Even more generally as highly non-uniform underlying distribution problem (which is an umbrella term for both cases).
References:

Machine Learning Tips: Handling Imbalanced Datasets
Handling imbalanced datasets in machine learning