Tawnya

girls:

4.9k births since 1950

#2410 (58th percentile)

overall:

4.9k births since 1950

#3883 (50th percentile)

Popularity Trends

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

1950 2004 19502004

Key Statistics

Total Births
4,943
Peak Births
289
Peak Year
1974
First Recorded
1950
Peak Percentile
34.8%
Current Percentile
0.1%
Peak Rank
#486
Current Rank
#936
Female statistics

How to Pronounce Tawnya

Our model has identified 2 different pronunciations for the name Tawnya. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 73.7% confident that Tawnya is pronounced as TAW-nyuh. The next most likely pronunciation is TAH-nyuh, at 26.3% confidence.

2
73.7%
2
26.3%
TAW-nyuh (2 syllables)
73.7% confidence
T AO1 N Y AH0

Possible Additional Pronunciations

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

TOH-nyuh (2 syllables)
5 names 143.7k births
T OW1 N Y AH0
TAH-nee-uh (3 syllables)
9 names 39.5k births
T AA1 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 T AO1 N Y 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.