Anesha

girls:

795 births since 1967

#4921 (14th percentile)

overall:

795 births since 1967

#6944 (10th percentile)

Popularity Trends

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

1967 2010 19672010

Key Statistics

Total Births
795
Peak Births
48
Peak Year
1994
First Recorded
1967
Peak Percentile
5.1%
Current Percentile
0.0%
Peak Rank
#736
Current Rank
#944
Female statistics

How to Pronounce Anesha

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

Our model is 63.9% confident that Anesha is pronounced as uh-NEH-shuh. The next most likely pronunciation is uh-NEE-shuh, at 36.1% confidence.

uh-NEH-shuh (3 syllables)
63.9% confidence
AH0 N EH1 SH AH0

Possible Additional Pronunciations

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

uh-NEH-shee-uh (4 syllables)
2 names 382 births
AH0 N EH1 SH IY0 AH0

Names with this pronunciation:

ih-NEH-shuh (3 syllables)
3 names 148 births
IH0 N EH1 SH 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 AH0 N EH1 SH 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.