Tasia

girls:

4.2k births since 1925

#2664 (53rd percentile)

overall:

4.2k births since 1925

#4242 (45th percentile)

Popularity Trends

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

1925 2023 19252023

Key Statistics

Total Births
4,165
Peak Births
341
Peak Year
1985
First Recorded
1925
Peak Percentile
38.7%
Current Percentile
0.6%
Peak Rank
#491
Current Rank
#941
Female statistics

How to Pronounce Tasia

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

Our model is 70.6% confident that Tasia is pronounced as TAY-zhuh. The next most likely pronunciation is TAY-zee-uh, at 11.8% confidence.

TAH-zee-uh (3 syllables)
8.8% confidence
T AA1 Z IY0 AH0

Possible Additional Pronunciations

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

tai-AY-zhuh (3 syllables)
4 names 2.7k births
T AY0 EY1 ZH AH0
TAI-AY-zhuh (3 syllables)
2 names 2.2k births
T AY1 EY1 ZH 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 T EY1 ZH 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.