Nellie

girls:

151.5k births since 1880

#260 (95th percentile)

boys:

593 births since 1880

#3993 (13th percentile)

overall:

152.1k births since 1880

#495 (94th percentile)

Popularity Trends

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

1880 2023 18802023

Key Statistics

Total Births
151,529
Peak Births
4,048
Peak Year
1881
First Recorded
1880
Peak Percentile
94.0%
Current Percentile
45.6%
Peak Rank
#14
Current Rank
#516
Female statistics
Total Births
593
Peak Births
19
Peak Year
1893
First Recorded
1880
Peak Percentile
5.0%
Current Percentile
Peak Rank
#184
Current Rank
Male statistics

How to Pronounce Nellie

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

Our model is 100.0% confident that Nellie is pronounced as NEH-lee.

2
100.0%

Possible Additional Pronunciations

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

nay-EH-lee (3 syllables)
7 names 4.7k births
N EY0 EH1 L 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 N EH1 L 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.