Allyah

girls:

307 births since 1994

#5409 (5th percentile)

overall:

307 births since 1994

#7432 (4th percentile)

Popularity Trends

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

1994 2016 19942016

Key Statistics

Total Births
307
Peak Births
25
Peak Year
1997
First Recorded
1994
Peak Percentile
2.3%
Current Percentile
0.2%
Peak Rank
#836
Current Rank
#955
Female statistics

How to Pronounce Allyah

Our model has identified 6 different pronunciations for the name Allyah. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 32.5% confident that Allyah is pronounced as A-lee-uh. The next most likely pronunciation is uh-LEE-uh, at 22.5% confidence.

3
32.5%
3
22.5%
3
17.5%
2
12.5%
3
10.0%
uh-LEE-uh (3 syllables)
22.5% confidence
AH0 L IY1 AH0
AL-yuh (2 syllables)
12.5% confidence
AE1 L Y AH0
UH-lee-uh (3 syllables)
10.0% confidence
AH1 L IY0 AH0

Possible Additional Pronunciations

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

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 AE1 L IY0 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.