Jnae

girls:

208 births since 1988

#5508 (4th percentile)

overall:

208 births since 1988

#7531 (3rd percentile)

Popularity Trends

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

1988 2018 19882018

Key Statistics

Total Births
208
Peak Births
15
Peak Year
1999
First Recorded
1988
Peak Percentile
1.1%
Current Percentile
0.0%
Peak Rank
#808
Current Rank
#961
Female statistics

How to Pronounce Jnae

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

Our model is 80.6% confident that Jnae is pronounced as jnay. The next most likely pronunciation is jayn, at 9.7% confidence.

1
80.6%
1
9.7%
2
9.7%
jnay (1 syllable)
80.6% confidence
JH N EY1
JAY-nai (2 syllables)
9.7% confidence
JH EY1 N AY0

Possible Additional Pronunciations

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

jih-NAY (2 syllables)
8 names 1.7k births
JH IH0 N EY1
JNEE-uh (2 syllables)
8 names 830 births
JH N IY1 AH0

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 N EY1) 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.