Jayveon

boys:

1.4k births since 1993

#3258 (29th percentile)

overall:

1.4k births since 1993

#6373 (18th percentile)

Popularity Trends

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

1993 2023 19932023

Key Statistics

Total Births
1,370
Peak Births
108
Peak Year
2014
First Recorded
1993
Peak Percentile
11.4%
Current Percentile
3.5%
Peak Rank
#769
Current Rank
#879
Male statistics

How to Pronounce Jayveon

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

Our model is 46.5% confident that Jayveon is pronounced as JAY-vee-uhn. The next most likely pronunciation is JAY-vee-ahn, at 34.9% confidence.

JAY-vee-ahn (3 syllables)
34.9% confidence
JH EY1 V IY0 AA0 N
JAY-vee-AHN (3 syllables)
18.6% confidence
JH EY1 V IY0 AA1 N

Possible Additional Pronunciations

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

JA-vee-uhn (3 syllables)
8 names 10.4k births
JH AE1 V IY0 AH0 N

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 JH EY1 V IY0 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.