Dagon

boys:

184 births since 1996

#4402 (4th percentile)

overall:

184 births since 1996

#7555 (2nd percentile)

Popularity Trends

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

1996 2022 19962022

Key Statistics

Total Births
184
Peak Births
22
Peak Year
2008
First Recorded
1996
Peak Percentile
1.9%
Current Percentile
0.7%
Peak Rank
#778
Current Rank
#918
Male statistics

How to Pronounce Dagon

Our model has identified 2 different pronunciations for the name Dagon. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 90.7% confident that Dagon is pronounced as DAY-guhn. The next most likely pronunciation is DA-guhn, at 9.3% confidence.

2
90.7%
2
9.3%
DA-guhn (2 syllables)
9.3% confidence
D AE1 G AH0 N

Possible Additional Pronunciations

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

DEE-guhn (2 syllables)
6 names 4.9k births
D IY1 G AH0 N
dee-guhn (2 syllables)
1 name 3.3k births
D IY0 G 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 D EY1 G 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.