Vaida

girls:

839 births since 1926

#4877 (15th percentile)

overall:

839 births since 1926

#6900 (11th percentile)

Popularity Trends

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

1926 2023 19262023

Key Statistics

Total Births
839
Peak Births
111
Peak Year
2015
First Recorded
1926
Peak Percentile
11.1%
Current Percentile
2.7%
Peak Rank
#604
Current Rank
#921
Female statistics

How to Pronounce Vaida

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

Our model is 72.2% confident that Vaida is pronounced as VAI-duh. The next most likely pronunciation is VAY-duh, at 27.8% confidence.

2
72.2%
2
27.8%
VAI-duh (2 syllables)
72.2% confidence
V AY1 D AH0

Possible Additional Pronunciations

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

VEE-duh (2 syllables)
7 names 25.7k births
V IY1 D AH0
VAI-tuh (2 syllables)
1 name 4.5k births
V AY1 T 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 V AY1 D 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.