The current study examined individual-level status (i.e., influence, leadership, popularity, social preference) and network-level centrality (i.e., degree, eigenvector, and betweenness centrality) relatedness to childrens network perception accuracy. Participants included 400 3rd, 4th, and 5th grade students nested in 8 grade-level units from three rural schools. Participants named groups of students who hang out together, just doing a lot together. The collected data were used to construct the social network of each grade unit, obtain individual network perception accuracy values, and measure childrens degree, betweenness, and eigenvector centrality values. Participants also nominated peers who were most popular, those who they liked and disliked, and peers who were influencers and leaders. Results indicated leadership, social preference, popularity, and degree centrality were positive predictors of network perception accuracy. Although gender differences were observed in network accuracy, no interaction effects were observed between the predictor variables and network perception accuracy. Furthermore, degree centrality predicted accuracy above and beyond individual-level status variables, suggesting knowledge of the network structure might be more dependent upon being connected to more individuals beyond possessing individual characteristics indicative of social status.