Phonetic Analysis · US Birth Records 1880–2024

The Same Mouth

In 2024, American parents chose from 31,904 distinct name spellings — a record. Run those spellings through a phonetic algorithm and they collapse to 3,998 distinct sounds. The gap between the two has more than doubled since 1950. What looks like an explosion of individuality is, acoustically, a narrowing corridor. Thousands of names enter the same few mouths.

Published 1 September 2026 Marius Comper

The divergence

Why do more and more names sound alike? #

Shannon entropy measures how spread out a distribution is. Higher entropy means more even spread across more options. Below, one line tracks how many distinct spellings parents use; the other tracks how many distinct sounds those spellings produce. The widening gap between them is the acoustic monoculture.

Spellings (lexical entropy) Sounds (phonetic entropy)
Spellings in 2024
31,904
10,306 in 1950
Sounds in 2024
3,998
1,931 in 1950
Spellings per sound
8.0×
5.3× in 1950
Scissors gap
2.61 bits
1.19 bits in 1950

Your acoustic neighbourhood

Type a name. See who sounds the same. #

Every name maps to a phonetic code via Double Metaphone, an algorithm that strips a word down to its consonant skeleton — the way it actually moves through the mouth. Names that share a code are acoustically interchangeable to a casual listener, no matter how different they look on paper.

Example — type your own name above: «Jaxon»

Sound code: JKSN
30 different spellings map to this sound — 417,008 total births since 1880.
JacksonJaxonJaxenJaxxonJaxynJaxinJaksonJacksenJacksynJocsanJacsonJaxxen +18 more

The dominant sounds

Which 15 sounds collected the most births? #

Each row is a single sound — a Double Metaphone code — with the most common spellings that map to it. The sparkline shows each sound's share of all births from 1880 to 2024. Some sounds are ancient and declining; others are modern invasions.

Code
Top spellings
Share 1880–2024
Spellings
JN
John Joan Jean Jane Juan Johnny Joanne June +604
612
MR
Mary Maria Marie Mario Mariah Myra Mayra Mara +231
239
JMS
James Jaymes Jamecia Jamese Jamesia Jamez Jaymz Jamesa +40
48
TN
Donna Diane Diana Tina Dawn Danny Tony Dana +766
774
RPRT
Robert Roberta Roberto Rupert Ruperto Robbert Rubert Ruberta +18
26
MKL
Michael Miguel Makayla Mikayla Michaela Mikaela Micaela Mckayla +367
375
ALM
William Alma Wilma Elma Elmo Willam Eliam Elam +100
108
TFT
David Davida Dovid Taft Daivd Davide Tevita Davita +37
45
KL
Kelly Kyle Kayla Chloe Gail Cole Kaylee Kylie +708
716
AN
Anna Ann Annie Wayne Anne Ian Owen Ana +489
497
STFN
Steven Stephen Stephanie Stefanie Stephan Stefan Stephany Stephon +103
111
PL
Paul Billy Paula Bill Billie Bailey Bella Beulah +133
141
LS
Lisa Louis Louise Luis Lucy Lewis Lucia Lacey +145
153
KR
Gary Carrie Corey Cora Cory Kara Kerry Kari +516
524
JSF
Joseph Joesph Josef Josefa Joeseph Jozef Josepha Josph +17
25

The raw numbers

How many spellings fit inside one sound? #

The left axis shows the raw count of distinct spellings used in each year; the right axis shows distinct phonetic codes. The ratio between them — how many spellings map to each sound — is the multiplier shown on hover.

Cross-border anthropology

How did three countries end up sounding alike? #

In 1920, the birth registries of the United States (SSA), England & Wales (ONS), and France (INSEE) were separate linguistic worlds dominated by heavy stop consonants. Today, all three favour the same endings: 42 of the 90 top names in 2025–2026 end in open vowels. Of the names themselves, a single one — Noah — sits in all three top lists at once; 12 more appear in two.

2025–2026: One Global Acoustic Basin

By 2025–2026, all three registries favour the same endings: 42 of the 90 top names terminate in soft vowel glides (-a, -ia, -o, -ah, -am, -el), and a single name, Jack, keeps a heavy stop suffix. Fewer identical names cross borders than in 1920 (13 versus 18) — but they sound alike. Noah is the only name in all three top lists at once.

Soft vowel endings
42 of 90
46.7% · -a, -ia, -o, -ah, -am, -el
Heavy consonant suffixes
1 of 90
1.1% · -rd, -rt, -ld, -ck, -mond
Identical names in 2+ countries
13
«Noah», in all three
United StatesSSA National Records
Boys
LiamNoahOliverJamesElijahMateoTheodoreHenryLucasWilliamBenjaminLeviSebastianJackEzra
Girls
OliviaEmmaAmeliaSophiaCharlotteAvaIsabellaMiaLunaEvelynHarperCamilaSofiaEleanorElizabeth
England & WalesONS Birth Statistics
Boys
MuhammadNoahOliverGeorgeLeoLucaArthurOscarTheodoreFreddieTheoArchieHenryThomasCharlie
Girls
OliviaAmeliaIslaLilyFreyaIvyFlorencePoppyMiaAvaWillowSophiaGraceElsieEvie
FranceINSEE Fichier des prénoms
Boys
GabrielRaphaëlLouisLéoNoahMaëlJulesArthurAdamLiamLucasIsaacSachaHugoPaul
Girls
LouiseJadeAmbreAlbaAlmaEmmaRoseAliceRomyAnnaIrisLouInayaAgatheLina

The Four Transnational Acoustic Corridors

Click any corridor to see how the United States, United Kingdom, and France populate the exact same phonetic territory.

The Liquid & Vowel GlidesL-M-N / Open Vowels (/iə/, /oʊ/, /uː/)

Frictionless, aerodynamic syllables built on liquid consonants (L, M, N) and soft vowel diphthongs. Maximum international translatability across Romance and Germanic tongues.

United States

Liam, Noah, Oliver, Leo, Lucas, Mia, Ava, Luna

United Kingdom

Noah, Oliver, Leo, Luca, Isla, Lily, Mia, Ava

France

Liam, Noah, Léo, Lucas, Louis, Maël, Alma, Alba, Mia

Method and limits

What does this analysis measure — and what does it miss? #

Data sources

United States: Social Security Administration birth records, 1880–2024 (≥5 occurrences privacy threshold). United Kingdom: Office for National Statistics (ONS) birth registrations for England & Wales, 1904–2025. France: Institut National de la Statistique et des Études Économiques (INSEE) Fichier des prénoms, 1900–2025. The transnational panel compares 15 boys' and 15 girls' top names per country and era (90 names); its percentages are computed on this displayed panel, not on the full registries.

Phonetic algorithm

Double Metaphone reduces each name to a consonant-skeleton code (e.g. Jackson, Jaxon, Jaxsen → JKSN). It was designed for English-language names and handles many European borrowings well. It is not a full phonological analysis — it ignores vowel quality, stress, and tone. Two names sharing a code sound similar but not necessarily identical.

What entropy measures

Shannon entropy (in bits) measures how evenly births distribute across categories. If every baby received the same name, entropy would be 0. If births spread perfectly evenly across N names, entropy would be log₂(N). The lexical line tracks spellings; the phonetic line tracks sounds. The gap between them quantifies how much of the apparent diversity is cosmetic.

What this doesn't claim

Phonetic convergence is not the same as cultural conformity. Parents may have strong personal reasons for a spelling. The analysis shows that the acoustic output of naming choices is narrower than the visual output — an observation, not a judgment. The effect may differ in languages where orthography maps more consistently to pronunciation.