Milah

girls:

2.6k births since 1997

#3385 (41st percentile)

overall:

2.6k births since 1997

#5247 (32nd percentile)

Popularity Trends

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

1997 2023 19972023

Key Statistics

Total Births
2,610
Peak Births
235
Peak Year
2018
First Recorded
1997
Peak Percentile
23.8%
Current Percentile
15.0%
Peak Rank
#730
Current Rank
#805
Female statistics

How to Pronounce Milah

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

Our model is 50.0% confident that Milah is pronounced as MAI-luh. The next most likely pronunciation is MEE-luh, at 36.8% confidence.

2
50.0%
2
36.8%
2
13.2%
MIH-luh (2 syllables)
13.2% confidence
M IH1 L AH0

Possible Additional Pronunciations

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

mai-EH-luh (3 syllables)
4 names 1k births
M AY0 EH1 L AH0
mai-LAI-uh (3 syllables)
4 names 499 births
M AY0 L AY1 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 M AY1 L 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.