Kishia

girls:

273 births since 1968

#5443 (5th percentile)

overall:

273 births since 1968

#7466 (4th percentile)

Popularity Trends

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

1968 1992 19681992

Key Statistics

Total Births
273
Peak Births
21
Peak Year
1974
First Recorded
1968
Peak Percentile
2.1%
Current Percentile
0.0%
Peak Rank
#730
Current Rank
#859
Female statistics

How to Pronounce Kishia

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

Our model is 58.3% confident that Kishia is pronounced as KIH-shuh. The next most likely pronunciation is kih-SHEE-uh, at 27.8% confidence.

kih-SHEE-uh (3 syllables)
27.8% confidence
K IH0 SH IY1 AH0
KIH-shee-uh (3 syllables)
13.9% confidence
K IH1 SH IY0 AH0

Possible Additional Pronunciations

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

kai-EE-shuh (3 syllables)
10 names 1.6k births
K AY0 IY1 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 K IH1 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.