💡 Key Takeaways

  • Contains 20 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 20 of 20
Id Rank Gender Localized Romanized Region Population Year Note
N-PT-1-F-11FMariaMariaAllAll2022
N-PT-1-F-22FAliceAliceAllAll2022
N-PT-1-F-33FLeonorLeonorAllAll2022
N-PT-1-F-44FMatildeMatildeAllAll2022
N-PT-1-F-55FBeneditaBeneditaAllAll2022
N-PT-1-F-66FCarolinaCarolinaAllAll2022
N-PT-1-F-77FBeatrizBeatrizAllAll2022
N-PT-1-F-88FMargaridaMargaridaAllAll2022
N-PT-1-F-99FFranciscaFranciscaAllAll2022
N-PT-1-F-1010FCamilaCamilaAllAll2022
N-PT-1-M-11MFranciscoFranciscoAllAll2022
N-PT-1-M-22MAfonsoAfonsoAllAll2022
N-PT-1-M-33MJoãoJoãoAllAll2022
N-PT-1-M-44MTomásTomásAllAll2022
N-PT-1-M-55MDuarteDuarteAllAll2022
N-PT-1-M-66MLourençoLourençoAllAll2022
N-PT-1-M-77MSantiagoSantiagoAllAll2022
N-PT-1-M-88MMartimMartimAllAll2022
N-PT-1-M-99MMiguelMiguelAllAll2022
N-PT-1-M-1010MGabrielGabrielAllAll2022