Aima

girls:

201 births since 2000

#5515 (3rd percentile)

overall:

201 births since 2000

#7538 (3rd percentile)

Popularity Trends

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

2000 2023 20002023

Key Statistics

Total Births
201
Peak Births
23
Peak Year
2018
First Recorded
2000
Peak Percentile
1.9%
Current Percentile
1.0%
Peak Rank
#896
Current Rank
#938
Female statistics

How to Pronounce Aima

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

Our model is 58.3% confident that Aima is pronounced as AI-muh. The next most likely pronunciation is AY-muh, at 41.7% confidence.

2
58.3%
2
41.7%
AI-muh (2 syllables)
58.3% confidence
AY1 M AH0
AY-muh (2 syllables)
41.7% confidence
EY1 M AH0

Possible Additional Pronunciations

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

EH-muh (2 syllables)
6 names 757.3k births
EH1 M AH0
EE-muh (2 syllables)
4 names 11.4k births
IY1 M 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 AY1 M 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.