In a minimum p union problem (MinpU), given a hypergraph G = (V, E) and an integer p, the goal is to find a set of p hyperedges E ′ ⊆ E such that the number of vertices covered by E ′ (that is | e∈E ′ e|) is minimized. It was known that MinpU is at least as hard as the densest k-subgraph problem. A question is: how about the problem in some geometric settings? In this paper, we consider the unit square MinpU problem (MinpU-US) in which V is a set of points on the plane, and each hyperedge of E consists of a set of points in a unit square. A ( 11+ε , 4)-bicriteria approximation algorithm is presented, that is, the algorithm finds at least p 1+ε unit squares covering at most 4opt points, where opt is the optimal value for the MinpU-US instance (the minimum number of points that can be covered by p unit squares).