Nesha

girls:

478 births since 1965

#5238 (8th percentile)

overall:

478 births since 1965

#7261 (6th percentile)

Popularity Trends

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

1965 2003 19652003

Key Statistics

Total Births
478
Peak Births
22
Peak Year
1976
First Recorded
1965
Peak Percentile
2.2%
Current Percentile
0.0%
Peak Rank
#729
Current Rank
#907
Female statistics

How to Pronounce Nesha

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

Our model is 50.0% confident that Nesha is pronounced as NEE-shuh. The next most likely pronunciation is NEH-shuh, at 50.0% confidence.

2
50.0%
2
50.0%
NEH-shuh (2 syllables)
50.0% confidence
N EH1 SH AH0

Possible Additional Pronunciations

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

NIH-shuh (2 syllables)
11 names 3.3k births
N IH1 SH AH0
NEE-eh-shuh (3 syllables)
1 name 2.2k births
N IY1 EH0 SH 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 N IY1 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.