Ziyana

girls:

309 births since 2000

#5407 (5th percentile)

overall:

309 births since 2000

#7430 (4th percentile)

Popularity Trends

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

2000 2023 20002023

Key Statistics

Total Births
309
Peak Births
20
Peak Year
2022
First Recorded
2000
Peak Percentile
1.6%
Current Percentile
1.2%
Peak Rank
#889
Current Rank
#936
Female statistics

How to Pronounce Ziyana

Our model has identified 4 different pronunciations for the name Ziyana. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 62.2% confident that Ziyana is pronounced as zee-AH-nuh. The next most likely pronunciation is zee-UH-nuh, at 16.2% confidence.

ZEE-AH-nuh (3 syllables)
10.8% confidence
Z IY1 AA1 N AH0

Possible Additional Pronunciations

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

ZEE-ah-nuh (3 syllables)
7 names 1.3k births
Z IY1 AA0 N AH0
ZEE-oh-nuh (3 syllables)
3 names 580 births
Z IY1 OW0 N 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 Z IY0 AA1 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.