Amarria

girls:

130 births since 2000

#5586 (2nd percentile)

overall:

130 births since 2000

#7609 (2nd percentile)

Popularity Trends

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

2000 2019 20002019

Key Statistics

Total Births
130
Peak Births
19
Peak Year
2005
First Recorded
2000
Peak Percentile
1.5%
Current Percentile
0.1%
Peak Rank
#889
Current Rank
#944
Female statistics

How to Pronounce Amarria

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

Our model is 66.7% confident that Amarria is pronounced as uh-MAH-ree-uh. The next most likely pronunciation is uh-MUH-ree-uh, at 17.9% confidence.

Possible Additional Pronunciations

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

uh-MA-ree-uh (4 syllables)
1 name 3.4k births
AH0 M AE1 R IY0 AH0

Names with this pronunciation:

uh-mer-EE-uh (4 syllables)
2 names 708 births
AH0 M ER0 IY1 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 M AA1 R 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.