Abstract. A deterministic sequence of real numbers in the unit interval is called equidistributed if its empirical distribution converges to the uniform distribution. Furthermore, the limit distribution of the pair correlation statistics of a sequence is called Poissonian if the number of pairs x k , x l ∈ (xn) 1≤n≤N which are within distance s/N of each other is asymptotically ∼ 2sN . A randomly generated sequence has both of these properties, almost surely. There seems to be a vague sense that having Poissonian pair correlations is a "finer" property than being equidistributed. In this note we prove that this really is the case, in a precise mathematical sense: a sequence whose asymptotic distribution of pair correlations is Poissonian must necessarily be equidistributed. Furthermore, for sequences which are not equidistributed we prove that the square-integral of the asymptotic density of the sequence gives a lower bound for the asymptotic distribution of the pair correlations.Let (x n ) n≥1 be a sequence of real numbers. We say that this sequence is equidistributed or uniformly distributed modulo one if asymptotically the relative number of fractional parts of elements of the sequence falling into a certain subinterval is proportional to the length of this subinterval. More precisely, we require thatfor all 0 ≤ a ≤ b ≤ 1, where {·} denotes the fractional part. This notion was introduced in the early twentieth century, and received widespread attention after the publication of Hermann Weyl's seminal paperÜber die Gleichverteilung von Zahlen mod. Eins in 1916 [14]. Among the most prominent results in the field are the facts that the sequences (nα) n≥1 and (n 2 α) n≥1 are equidistributed whenever α ∈ Q, and the fact that for any distinct integers n 1 , n 2 , . . . the sequence (n k α) k≥1 is equidistributed for almost all α. We note that when (X n ) n≥1 is a sequence of independent, identically distributed (i.i.d.) random variables having uniform distribution on [0, 1], then by the Glivenko-Cantelli theorem this sequence is almost surely equidistributed. Consequently, in a very vague sense equidistribution can be seen as an indication of "pseudorandom" behavior of a deterministic sequence. For more information on uniform distribution theory, see the monographs [4,7].The investigation of pair correlations can also be traced back to the beginning of the twentieth century, when such quantities appeared in the context of statistical mechanics. In our setting, when (x n ) n≥1 are real numbers in The first two authors are supported by the Austrian Science Fund (FWF), project Y-901.