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Part of the data ring
NameCurve
Boys' name · 1,025 recorded births

Gordan

1,025 US births on record

#1,458its best US rank, in 1931
1930peak year — 24 births
1,025US births since 1912
Saved in this browser only — no account, nothing sent anywhere.

Gordan in the United States

0.01.32.618801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Gordan in the United States, 1880–2025

Between 1993 and 2018 the name has been falling — down 50% as a share of boys' births.

SOURCE·US Social Security Administration, national baby-name data·Public domain. SSA lists a name only if it was given to at least 5 babies of that sex that year.·REVIEWED JUL 2026

Gordan in New Zealand

Gordan never reached 10 births in a single year in New Zealand, so it does not appear in the DIA file. That is a reporting floor, not a zero — the name may still have been registered here, just never ten times in one year.

SOURCE·NZ Department of Internal Affairs, births by first name·CC BY 4.0. DIA lists a name only if it was given to at least 10 babies of that sex that year.·REVIEWED JUL 2026

Decade by decade in the US

YearRankBirths
1920#1,69421
1930#1,49624
1940#1,98313
1950#3,0217
1960#1,97317
1970#2,62113
1980#3,43012
1990#6,4157
2000#8,2097
2010below floor
2020below floor

How these figures are worked out

  1. Counts come straight from the registrars: the US Social Security Administration (1880–2025) and the New Zealand Department of Internal Affairs (1900–2025). Nothing is scraped from another names site.
  2. Ranks are computed against every name in that year's file, not just the ones this site publishes pages for — otherwise a rank would flatter every name we happen to list.
  3. The curve is drawn on births per 100,000 of that sex, not raw counts. Raw counts across eras are misleading: far more births were registered in 1957 than in 1890, so a flat count is a falling share.
  4. Each country hides small numbers — the US below 5 births a year, New Zealand below 10. A gap in a line is "below the floor", never "nobody".

Full methodology →

SOURCE·US SSA (1880–2025) + NZ DIA (1900–2025) birth registrations·ranks and shares computed from the source files, see method·REVIEWED JUL 2026

See what every site in this family answers

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Amit Sharma

Auckland real-estate agent and marketer. Builds free, sourced data tools.