💡 Key Takeaways

  • Contains 8 records with 9 fields
  • Available for free download in Excel, CSV, and PDF formats
  • Data sourced from https://github.com/sigpwned/popular-names-by-country-dataset

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Showing 8 of 8
Id Rank Gender Localized Romanized Region Population Year Note
N-MT-1-F-11FMiaMiaAllAll2022
N-MT-1-F-22FEmmaEmmaAllAll2022
N-MT-1-F-33FNinaNinaAllAll2022
N-MT-1-F-44FGiuliaGiuliaAllAll2022
N-MT-1-M-11MLucaLucaAllAll2022
N-MT-1-M-22MLiamLiamAllAll2022
N-MT-1-M-33MNoahNoahAllAll2022
N-MT-1-M-44MMatteoMatteoAllAll2022