Tiffani

girls:

14.9k births since 1962

#1250 (78th percentile)

overall:

14.9k births since 1962

#2152 (72nd percentile)

Popularity Trends

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

1962 2023 19622023

Key Statistics

Total Births
14,905
Peak Births
643
Peak Year
1981
First Recorded
1962
Peak Percentile
57.0%
Current Percentile
0.0%
Peak Rank
#335
Current Rank
#947
Female statistics

How to Pronounce Tiffani

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

Our model is 90.3% confident that Tiffani is pronounced as TIH-fuh-nee. The next most likely pronunciation is tih-FUH-nee, at 9.7% confidence.

tih-FUH-nee (3 syllables)
9.7% confidence
T IH0 F AH1 N IY0

Possible Additional Pronunciations

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

TIH-fee-nee (3 syllables)
9 names 6k births
T IH1 F IY0 N IY0
TIH-fih-nee (3 syllables)
8 names 5.2k births
T IH1 F IH0 N IY0

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 IH1 F AH0 N IY0) 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.