We investigate the first and second moments of the inverse participation ratio (IPR) for all eigenvectors of the Laplacian on finite random regular graphs with vertices and degree . By exactly diagonalizing a large set of -regular graphs, we find that as becomes large, the mean of the inverse participation ratio on each graph, when averaged over a large ensemble of graphs, approaches the numerical value . This universal number is understood as the large- limit of the average of the quartic polynomial corresponding to the IPR over an appropriate -dimensional hypersphere of . For a large, but not exhaustive ensemble of graphs, the mean variance of the inverse participation ratio for all graph Laplacian eigenvectors deviates from its continuous hypersphere average due to large graph-to-graph fluctuations that arise from the existence of highly localized modes.

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