Shaunie

girls:

92 births since 1989

#5624 (2nd percentile)

overall:

92 births since 1989

#7647 (1st percentile)

Popularity Trends

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

1989 2022 19892022

Key Statistics

Total Births
92
Peak Births
13
Peak Year
2011
First Recorded
1989
Peak Percentile
0.9%
Current Percentile
0.3%
Peak Rank
#821
Current Rank
#955
Female statistics

How to Pronounce Shaunie

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

Our model is 88.6% confident that Shaunie is pronounced as SHAW-nee. The next most likely pronunciation is shaw-NEE, at 11.4% confidence.

2
88.6%
2
11.4%
shaw-NEE (2 syllables)
11.4% confidence
SH AO0 N IY1

Possible Additional Pronunciations

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

SHAH-nee (2 syllables)
13 names 10.2k births
SH AA1 N IY0
SHAW-nay (2 syllables)
4 names 492 births
SH AO1 N EY0

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 SH AO1 N IY0) 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.