Shina

girls:

426 births since 1967

#5290 (7th percentile)

overall:

426 births since 1967

#7313 (5th percentile)

Popularity Trends

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

1967 2011 19672011

Key Statistics

Total Births
426
Peak Births
27
Peak Year
1984
First Recorded
1967
Peak Percentile
2.8%
Current Percentile
0.1%
Peak Rank
#738
Current Rank
#939
Female statistics

How to Pronounce Shina

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

Our model is 70.0% confident that Shina is pronounced as SHEE-nuh. The next most likely pronunciation is SHAI-nuh, at 22.5% confidence.

2
70.0%
2
22.5%
SHIH-nuh (2 syllables)
7.5% confidence
SH IH1 N AH0

Possible Additional Pronunciations

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

SHEE-AY-nuh (3 syllables)
1 name 623 births
SH IY1 EY1 N AH0

Names with this pronunciation:

SHEE-nee-uh (3 syllables)
6 names 437 births
SH IY1 N IY0 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 SH IY1 N 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.