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Datasets / Popular baby names by year and sex, New South Wales / 2026-03-26

Popular baby names by year and sex, New South Wales, version 2026-03-26

latest
Rows 14,801Fields 5Fetched 3 October 2026Source SHA-256 1335e7311868520e…

This version is immutable. Every file below will return the same bytes for as long as this site exists, so the URL can be cited. The publisher's file is here as source.csv, byte for byte.

020k40k60k80k1952 Female: 27,2901952 Male: 33,8951953 Female: 27,7441953 Male: 33,8491954 Female: 26,8811954 Male: 33,2161955 Female: 27,1241955 Male: 33,72019551956 Female: 27,2361956 Male: 34,6101957 Female: 28,1441957 Male: 35,4941958 Female: 28,2421958 Male: 35,0261959 Female: 28,3321959 Male: 35,2751960 Female: 28,4141960 Male: 36,2801961 Female: 29,8371961 Male: 37,3841962 Female: 28,7401962 Male: 37,2051963 Female: 27,8611963 Male: 36,0061964 Female: 26,2391964 Male: 34,5131965 Female: 25,2821965 Male: 33,43619651966 Female: 24,7461966 Male: 33,4711967 Female: 24,9691967 Male: 33,4551968 Female: 25,4761968 Male: 34,3201969 Female: 26,6781969 Male: 35,8311970 Female: 26,9341970 Male: 36,4801971 Female: 29,0661971 Male: 39,3371972 Female: 27,8441972 Male: 38,1371973 Female: 25,1981973 Male: 34,6961974 Female: 24,9291974 Male: 34,2421975 Female: 22,9301975 Male: 31,53619751976 Female: 22,3401976 Male: 30,5891977 Female: 21,9481977 Male: 30,3581978 Female: 22,2181978 Male: 30,0171979 Female: 21,7561979 Male: 30,0671980 Female: 21,8961980 Male: 30,7451981 Female: 23,0011981 Male: 31,9701982 Female: 22,6461982 Male: 31,7371983 Female: 22,6241983 Male: 31,5811984 Female: 22,6931984 Male: 31,6081985 Female: 22,7631985 Male: 32,00719851986 Female: 22,6551986 Male: 31,5011987 Female: 22,9111987 Male: 31,4311988 Female: 23,2801988 Male: 31,7541989 Female: 22,8641989 Male: 31,7491990 Female: 22,8801990 Male: 32,4121991 Female: 21,9571991 Male: 31,5891992 Female: 22,5061992 Male: 32,3421993 Female: 21,8031993 Male: 31,2811994 Female: 21,1551994 Male: 30,7871995 Female: 21,0211995 Male: 29,90419951996 Female: 19,9161996 Male: 29,3011997 Female: 19,9331997 Male: 28,8261998 Female: 19,4911998 Male: 27,9491999 Female: 19,4611999 Male: 27,6852000 Female: 19,2612000 Male: 27,5272001 Female: 18,6582001 Male: 26,4302002 Female: 18,5132002 Male: 25,7562003 Female: 18,2622003 Male: 25,5112004 Female: 17,7792004 Male: 24,6232005 Female: 18,7062005 Male: 25,26620052006 Female: 18,7732006 Male: 25,5102007 Female: 19,2692007 Male: 25,5992008 Female: 19,3542008 Male: 24,9952009 Female: 18,9982009 Male: 24,7662010 Female: 18,9362010 Male: 24,1282011 Female: 18,9872011 Male: 24,3062012 Female: 19,0742012 Male: 24,4012013 Female: 18,6042013 Male: 23,7542014 Female: 18,5282014 Male: 23,1232015 Female: 18,2792015 Male: 22,20520152016 Female: 18,3712016 Male: 22,1772017 Female: 17,2652017 Male: 20,6162018 Female: 17,0372018 Male: 20,5272019 Female: 16,8452019 Male: 20,2102020 Female: 16,9972020 Male: 19,9302021 Female: 17,4452021 Male: 20,5682022 Female: 16,4172022 Male: 18,7662023 Female: 15,1212023 Male: 17,5302024 Female: 15,2492024 Male: 17,2612025 Female: 15,0812025 Male: 17,2882025
FemaleMale
Babies given a top-100 name per year by sex, 1952 to 2025. A sum of the babies registered column in this version, worked out in the build.
Change from the version before

First version followed here.

When the publisher releases again, this panel shows rows added, removed and changed by year, gender, name, with a link to the diff file.

Files

Smaller files by field: by/gender/.