Ena

girls:

3.5k births since 1880

#2915 (49th percentile)

overall:

3.5k births since 1880

#4618 (40th percentile)

Popularity Trends

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

1880 2023 18802023

Key Statistics

Total Births
3,509
Peak Births
89
Peak Year
1906
First Recorded
1880
Peak Percentile
23.4%
Current Percentile
3.8%
Peak Rank
#213
Current Rank
#911
Female statistics

How to Pronounce Ena

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

Our model is 60.4% confident that Ena is pronounced as EE-nuh. The next most likely pronunciation is EH-nuh, at 39.6% confidence.

2
60.4%
2
39.6%
EE-nuh (2 syllables)
60.4% confidence
IY1 N AH0
EH-nuh (2 syllables)
Verified
39.6% confidence
EH1 N AH0

Possible Additional Pronunciations

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

A-nuh (2 syllables)
8 names 1M births
AE1 N AH0
AY-nuh (2 syllables)
7 names 110.4k births
EY1 N 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 IY1 N 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.