This study investigates the diversity and composition of the human skin microbiota by sequencing 16S rRNA genes from bacterial isolates collected from the inner elbow of five healthy individuals using three sampling methods: swab, scrape, and punch biopsy. The analysis revealed 113 operational taxonomic units (OTUs) at 97% similarity, primarily belonging to the *Proteobacteria* division. Proteobacteria dominated all sampling depths, and interpersonal variation was found to be similar to intrapersonal variation. The study also found strong similarities between the human and mouse skin microbiota, suggesting that mouse models can be useful for understanding the genetic and environmental factors contributing to skin disorders. The findings highlight the complexity and diversity of the skin microbiota and provide a foundation for future research on the role of skin microbiota in health and disease.This study investigates the diversity and composition of the human skin microbiota by sequencing 16S rRNA genes from bacterial isolates collected from the inner elbow of five healthy individuals using three sampling methods: swab, scrape, and punch biopsy. The analysis revealed 113 operational taxonomic units (OTUs) at 97% similarity, primarily belonging to the *Proteobacteria* division. Proteobacteria dominated all sampling depths, and interpersonal variation was found to be similar to intrapersonal variation. The study also found strong similarities between the human and mouse skin microbiota, suggesting that mouse models can be useful for understanding the genetic and environmental factors contributing to skin disorders. The findings highlight the complexity and diversity of the skin microbiota and provide a foundation for future research on the role of skin microbiota in health and disease.