Aeva

girls:

553 births since 1999

#5163 (10th percentile)

overall:

553 births since 1999

#7186 (7th percentile)

Popularity Trends

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

1999 2023 19992023

Key Statistics

Total Births
553
Peak Births
51
Peak Year
2008
First Recorded
1999
Peak Percentile
4.7%
Current Percentile
0.8%
Peak Rank
#884
Current Rank
#939
Female statistics

How to Pronounce Aeva

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

Our model is 74.4% confident that Aeva is pronounced as AY-vuh. The next most likely pronunciation is EE-vuh, at 15.4% confidence.

2
74.4%
2
15.4%
2
10.3%
EH-vuh (2 syllables)
10.3% confidence
EH1 V AH0

Possible Additional Pronunciations

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

AY-vee-uh (3 syllables)
15 names 4.4k births
EY1 V IY0 AH0
eh-VAY-uh (3 syllables)
3 names 102 births
EH0 V EY1 AH0

Names with this pronunciation:

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 EY1 V 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.