The endothelium contains morphologically similar cells throughout the vasculature, but individual cells along the length of a single vascular tree or in different regional circulations function dissimilarly. Observations made in large arteries are extrapolated to explain the function of endothelial cells (EC) in the resistance vasculature, only a fraction of these observations are consistent between artery sizes. To what extent endothelial (EC) and vascular smooth muscle (VSMC) cells from different arteriolar segments of the same tissue differ phenotypically at the single-cell level remains unknown. Therefore, single-cell RNA-seq (10x Genomics) was performed using a 10X Genomics Chromium system. Cells were enzymatically digested from large (>300 µm) and small (<150 µm) mesenteric arteries from 9 adult male Sprague-Dawley rats, pooled to create six samples (3 rats/sample, 3 samples/group). After normalized integration, the dataset was integrated and scaled before unsupervised cell clustering and cluster visualization using UMAP plots. Differential gene expression analysis allowed us to infer the biological identity of the different clusters. Analysis revealed 630 and 641 differentially-expressed genes (DEG) between conduit and resistance arteries for EC and VSMC, respectively. Gene ontology analysis (GO-Biological Processes, GOBP) of scRNA-seq data discovered 562 and 270 pathways for EC and VSMC, respectively, that differed between large and small arteries. We identified eight and seven unique EC and VSMC subpopulations, respectively, with DEG genes and pathways identified for each cluster. These results and this dataset allow the discovery and support novel hypotheses needed to identify mechanisms that determine the phenotypic heterogeneity between conduit and resistance arteries.