Methodology
Two government files, and nothing else.
Sources
United States. US Social Security Administration, national baby-name data, 1880–2025. Public domain. SSA lists a name only if it was given to at least 5 babies of that sex that year.
New Zealand. NZ Department of Internal Affairs, births by first name, 1900–2025. CC BY 4.0. DIA lists a name only if it was given to at least 10 babies of that sex that year.
Why shares, not counts
Roughly four times as many births were registered in the United States in 1957 as in 1890. A name holding a flat raw count across that span was in fact collapsing as a share of babies born. Every curve on this site is therefore drawn on births per 100,000 of that sex in that year, which is the only comparison across eras that means anything. Raw counts are still printed in the tables, because they are what the registrar published.
Why ranks are computed, not copied
A rank is only true relative to the whole field. Ranks here are computed against every name in that year's government file — all 117,820 US name records — not against the 11,699 names this site publishes pages for. Ranking within our own subset would quietly promote every name on the site.
Why a gap is not a zero
Both registrars suppress small numbers: the US below 5 births of that sex in a year, New Zealand below 10. When a name is missing from a year, this site says "below the reporting floor" and never "0" or "none". The distinction matters most for New Zealand, where the floor is higher and the country is small — plenty of real New Zealand names never clear ten in a single year.
Which names get a page
A name earns its own page at 1,000 lifetime US births, or 200 in New Zealand. Below that the "curve" is single digits wobbling around the reporting floor — a chart of noise. Those names remain in the underlying data and in the year tables; they simply do not get a standalone page built on a line that cannot be read.
On meanings and origins
NameCurve publishes what the birth registers contain: who was named what, when, and where. It does not print a meaning or etymology it cannot cite, because the popular ones are frequently invented and endlessly copied between name sites. Where origins are added they will carry a named reference work, not a vibe.
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
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
SOURCE·US SSA (1880–2025) + NZ DIA (1900–2025) birth registrations·ranks and shares computed from the source files, see method·REVIEWED JUL 2026