Akeira

girls:

262 births since 1993

#5454 (5th percentile)

overall:

262 births since 1993

#7477 (3rd percentile)

Popularity Trends

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

1993 2020 19932020

Key Statistics

Total Births
262
Peak Births
25
Peak Year
2007
First Recorded
1993
Peak Percentile
2.0%
Current Percentile
0.5%
Peak Rank
#845
Current Rank
#935
Female statistics

How to Pronounce Akeira

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

Our model is 52.6% confident that Akeira is pronounced as uh-KEE-ruh. The next most likely pronunciation is uh-KIH-ruh, at 36.8% confidence.

uh-KAY-ruh (3 syllables)
10.5% confidence
AH0 K EY1 R AH0

Possible Additional Pronunciations

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

uh-KEE-ree-uh (4 syllables)
4 names 355 births
AH0 K IY1 R IY0 AH0
uh-KEE-er-uh (4 syllables)
3 names 256 births
AH0 K IY1 ER0 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 R 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.