Janell

girls:

15.7k births since 1914

#1212 (79th percentile)

boys:

23 births since 1979

#4563 (0th percentile)

overall:

15.7k births since 1914

#2082 (73rd percentile)

Popularity Trends

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

1914 2023 19142023

Key Statistics

Total Births
15,678
Peak Births
416
Peak Year
1979
First Recorded
1914
Peak Percentile
45.1%
Current Percentile
1.6%
Peak Rank
#432
Current Rank
#932
Female statistics
Total Births
23
Peak Births
8
Peak Year
1987
First Recorded
1979
Peak Percentile
0.4%
Current Percentile
Peak Rank
#688
Current Rank
Male statistics

How to Pronounce Janell

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

Our model is 100.0% confident that Janell is pronounced as juh-NEHL.

2
100.0%

Possible Additional Pronunciations

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

zhuh-NEHL (2 syllables)
10 names 61.3k births
ZH AH0 N EH1 L

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 JH AH0 N EH1 L) 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.