Haizley

girls:

748 births since 2010

#4968 (13th percentile)

overall:

748 births since 2010

#6991 (10th percentile)

Popularity Trends

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

2010 2023 20102023

Key Statistics

Total Births
748
Peak Births
122
Peak Year
2022
First Recorded
2010
Peak Percentile
12.2%
Current Percentile
10.1%
Peak Rank
#829
Current Rank
#851
Female statistics

How to Pronounce Haizley

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

Our model is 77.8% confident that Haizley is pronounced as HAYZ-lee. The next most likely pronunciation is HAIZ-lee, at 22.2% confidence.

2
77.8%
2
22.2%
HAIZ-lee (2 syllables)
22.2% confidence
HH AY1 Z L IY0

Possible Additional Pronunciations

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

HAY-slee (2 syllables)
5 names 4.9k births
HH EY1 S L IY0
HAZ-lee (2 syllables)
7 names 1.1k births
HH AE1 Z L IY0

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 HH EY1 Z L IY0) 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.