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Part of the data ring
NameCurve
Boys' name · 107,969 recorded births

Javier

#274 in the US in 2025

#274US rank, 2025 (boys)
1,252US births in 2025
#149its best US rank, in 1998
2001peak year — 2,637 births
107,969US births since 1917
Saved in this browser only — no account, nothing sent anywhere.

Javier in the United States

0.06813618801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Javier in the United States, 1880–2025

Between 2016 and 2025 the name has been steady.

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

Javier in New Zealand

Javier 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#3,4897
1930#1,06942
1940#92947
1950#440228
1960#354482
1970#253912
1980#1861,307
1990#1571,983
2000#1552,493
2010#1901,952
2020#2501,407

Where in the United States

The states that registered Javier most often since 1917. These are lifetime totals, so they track state population as much as local taste — a name common in Wyoming will never out-count California.

StateBirths
California31,972
Texas27,185
Florida6,061
Illinois5,557
New York5,515
Arizona3,929
New Jersey2,440
Georgia1,548
New Mexico1,499
Colorado1,489

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.