Dayshia

girls:

241 births since 1987

#5475 (4th percentile)

overall:

241 births since 1987

#7498 (3rd percentile)

Popularity Trends

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

1987 2011 19872011

Key Statistics

Total Births
241
Peak Births
26
Peak Year
1998
First Recorded
1987
Peak Percentile
2.4%
Current Percentile
0.1%
Peak Rank
#802
Current Rank
#939
Female statistics

How to Pronounce Dayshia

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

Our model is 78.4% confident that Dayshia is pronounced as DAY-shuh. The next most likely pronunciation is DAY-shee-uh, at 21.6% confidence.

DAY-shee-uh (3 syllables)
21.6% confidence
D EY1 SH IY0 AH0

Possible Additional Pronunciations

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

DAY-zhuh (2 syllables)
63 names 47.1k births
D EY1 ZH AH0
dih-AY-zhuh (3 syllables)
5 names 5.1k births
D IH0 EY1 ZH 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 D EY1 SH AH0) 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.