Nyisha

girls:

532 births since 1973

#5184 (9th percentile)

overall:

532 births since 1973

#7207 (7th percentile)

Popularity Trends

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

1973 2007 19732007

Key Statistics

Total Births
532
Peak Births
32
Peak Year
1980
First Recorded
1973
Peak Percentile
3.4%
Current Percentile
0.6%
Peak Rank
#736
Current Rank
#981
Female statistics

How to Pronounce Nyisha

Our model has identified 5 different pronunciations for the name Nyisha. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 48.6% confident that Nyisha is pronounced as NAI-shuh. The next most likely pronunciation is NEE-shuh, at 17.1% confidence.

NEE-ee-shuh (3 syllables)
5.7% confidence
N IY1 IY0 SH AH0

Possible Additional Pronunciations

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

NIH-shuh (2 syllables)
11 names 3.3k births
N IH1 SH AH0
NAI-EE-shuh (3 syllables)
2 names 471 births
N AY1 IY1 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 AY1 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.