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Part of the data ring
NameCurve
Boys' name · 100,187 recorded births

Tanner

#475 in the US in 2025

#475US rank, 2025 (boys)
641US births in 2025
#82its best US rank, in 1997
1998peak year — 4,704 births
97,625US births since 1913
21NZ births since 2014
Saved in this browser only — no account, nothing sent anywhere.

Tanner in the United States

0.012424818801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Tanner in the United States, 1880–2025
boysgirls

Between 2016 and 2025 the name has been falling — down 56% 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

Tanner in New Zealand

In New Zealand, Tanner has been registered 21 times since 2014, peaking in 2014 with 11 births. It did not clear the DIA's 10-birth reporting floor in 2025.

0.030591900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Tanner 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
1920below floor
1930#3,2897
1940below floor
1950#2,7708
1960below floor
1970#2,29316
1980#476311
1990#2201,387
2000#934,235
2010#1762,136
2020#333980

Where in the United States

The states that registered Tanner most often since 1913. 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
California7,595
Texas7,532
Pennsylvania3,690
Utah3,642
Ohio3,447
Florida3,360
Washington3,336
Minnesota3,109
North Carolina2,872
Missouri2,822

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

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Published by

Amit Sharma

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