Akeia

girls:

183 births since 1976

#5533 (3rd percentile)

overall:

183 births since 1976

#7556 (2nd percentile)

Popularity Trends

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

1976 2001 19762001

Key Statistics

Total Births
183
Peak Births
17
Peak Year
1993
First Recorded
1976
Peak Percentile
1.4%
Current Percentile
0.0%
Peak Rank
#756
Current Rank
#898
Female statistics

How to Pronounce Akeia

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

Our model is 82.9% confident that Akeia is pronounced as uh-KEE-uh. The next most likely pronunciation is uh-KAY-uh, at 17.1% confidence.

3
82.9%
3
17.1%
uh-KAY-uh (3 syllables)
17.1% confidence
AH0 K EY1 AH0

Possible Additional Pronunciations

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

uh-KEE-yuh (3 syllables)
9 names 1.4k births
AH0 K IY1 Y AH0
uh-KAY-yuh (3 syllables)
7 names 416 births
AH0 K EY1 Y 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 AH0 K IY1 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.