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Part of the data ring
NameCurve
Boys' name · 182,297 recorded births

Tommy

#657 in the US in 2025

#657US rank, 2025 (boys)
420US births in 2025
#70its best US rank, in 1944
1947peak year — 4,594 births
178,733US births since 1880
622NZ births since 1995
Saved in this browser only — no account, nothing sent anywhere.

Tommy in the United States

0.013627118801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Tommy in the United States, 1880–2025
boysgirls

Between 2016 and 2025 the name has been rising — up 45% 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

Tommy in New Zealand

In New Zealand, Tommy has been registered 622 times since 1995, peaking in 2022 with 71 births. It ranked #73 for boys in 2025 on 53 births.

0.02004011900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Tommy 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
1880#9095
1890#51114
1900#33042
1910#27082
1920#309344
1930#1271,386
1940#762,827
1950#943,434
1960#1123,683
1970#1482,220
1980#1971,259
1990#270981
2000#307959
2010#595420
2020#744326

Where in the United States

The states that registered Tommy most often since 1880. 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
Texas25,510
California12,855
Georgia11,477
Tennessee9,480
North Carolina9,365
Alabama8,919
Oklahoma8,515
Mississippi7,437
Arkansas7,109
Florida6,416

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.