Eamonn

boys:

1.3k births since 1958

#3323 (27th percentile)

overall:

1.3k births since 1958

#6452 (17th percentile)

Popularity Trends

This chart shows the total number of births per million babies in each year for the name "Eamonn".

1958 2023 19582023

Key Statistics

Total Births
1,290
Peak Births
46
Peak Year
2007
First Recorded
1958
Peak Percentile
4.6%
Current Percentile
1.4%
Peak Rank
#637
Current Rank
#898
Male statistics

How to Pronounce Eamonn

Our model has identified 3 different pronunciations for the name Eamonn. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 65.9% confident that Eamonn is pronounced as EE-muhn. The next most likely pronunciation is AY-muhn, at 25.0% confidence.

2
65.9%
2
25.0%
2
9.1%
EH-muhn (2 syllables)
9.1% confidence
EH1 M AH0 N

Possible Additional Pronunciations

These are pronunciations that other similar names use, but which are not currently associated with Eamonn. If you think any of these are valid pronunciations for Eamonn, please vote using the thumbs up button.

EE-mahn (2 syllables)
5 names 8.4k births
IY1 M AA0 N
IH-muhn (2 syllables)
2 names 6.3k births
IH1 M AH0 N

Names with this pronunciation:

About Pronunciation Data

Our confidence scores estimate the likelihood that a particular pronunciation is the most correct for a given name spelling. These scores are derived from pronunciation dictionaries, manual verification, your feedback, and a fine-tuned large language model trained to generate name pronunciations.

For any given spelling, confidence scores across all identified pronunciations sum to 100%. However, these scores don't account for the possibility of valid pronunciations that our model hasn't identified.

The raw pronunciations shown (like IY1 M AH0 N) use the ARPAbet phoneme system, a standardized way to represent English speech sounds. Each symbol represents a distinct sound in American English. Visit the ARPAbet Wikipedia page to learn more about these phonetic symbols.

Pronunciation audio is generated by an open source text to speech model that has been customized to adhere to pronunciations provided in ARPAbet format, but sometimes pronunciations that differ subtly will sound identical, particularly if the only difference is the level of emphasis on a syllable or a single vowel sound.