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Part of the data ring
NameCurve
Girls' name · 3,363 recorded births

Pyper

#2,859 in the US in 2025

#2,859US rank, 2025 (girls)
59US births in 2025
#970its best US rank, in 2014
2014peak year — 275 births
3,307US births since 1978
56NZ births since 2007
Saved in this browser only — no account, nothing sent anywhere.

Pyper in the United States

0.07.71518801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Pyper in the United States, 1880–2025

Between 2016 and 2025 the name has been falling — down 70% as a share of girls' 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

Pyper in New Zealand

In New Zealand, Pyper has been registered 56 times since 2007, peaking in 2013 with 13 births. It did not clear the DIA's 10-birth reporting floor in 2025.

0.041821900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Pyper in New Zealand, 1900–2025

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
1980below floor
1990below floor
2000#3,40439
2010#1,414162
2020#1,728116

Where in the United States

The states that registered Pyper most often since 1978. These are lifetime totals, so they track state population as much as local taste — a name common in Wyoming will never out-count California.

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

Published by

Amit Sharma

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