Abella

girls:

1.1k births since 2000

#4658 (18th percentile)

overall:

1.1k births since 2000

#6681 (14th percentile)

Popularity Trends

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

2000 2023 20002023

Key Statistics

Total Births
1,058
Peak Births
85
Peak Year
2012
First Recorded
2000
Peak Percentile
8.4%
Current Percentile
1.9%
Peak Rank
#858
Current Rank
#929
Female statistics

How to Pronounce Abella

Our model found one way to pronounce the name Abella. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 100.0% confident that Abella is pronounced as uh-BEH-luh.

3
100.0%
uh-BEH-luh (3 syllables)
Verified
100.0% confidence
AH0 B EH1 L AH0

Possible Additional Pronunciations

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

er-uh-BEH-luh (4 syllables)
1 name 204 births
ER0 AH0 B EH1 L AH0

Names with this pronunciation:

uh-vuh-BEH-luh (4 syllables)
1 name 110 births
AH0 V AH0 B EH1 L 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 AH0 B EH1 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.