Granada

girls:

15 births since 1961

#5701 (0th percentile)

overall:

15 births since 1961

#7724 (0th percentile)

Popularity Trends

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

1961 1980 19611980

Key Statistics

Total Births
15
Peak Births
10
Peak Year
1980
First Recorded
1961
Peak Percentile
0.6%
Current Percentile
0.6%
Peak Rank
#780
Current Rank
#780
Female statistics

How to Pronounce Granada

Our model found one way to pronounce the name Granada. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 100.0% confident that Granada is pronounced as gruh-NAH-duh.

gruh-NAH-duh (3 syllables)
Verified
100.0% confidence
G R AH0 N AA1 D AH0

Possible Additional Pronunciations

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

kaw-NRAH-doh (3 syllables)
1 name 2.2k births
K AO0 N R AA1 D OW0

Names with this pronunciation:

kuh-NRAH-doh (3 syllables)
1 name 2.2k births
K AH0 N R AA1 D OW0

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 G R AH0 N AA1 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.