Peyton

girls:

84.8k births since 1957

#415 (93rd percentile)

boys:

51.6k births since 1884

#490 (89th percentile)

overall:

136.4k births since 1884

#545 (93rd percentile)

Popularity Trends

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

1884 2023 18842023

Key Statistics

Total Births
84,806
Peak Births
5,317
Peak Year
2009
First Recorded
1957
Peak Percentile
95.7%
Current Percentile
85.4%
Peak Rank
#42
Current Rank
#139
Female statistics
Total Births
51,554
Peak Births
3,375
Peak Year
2007
First Recorded
1884
Peak Percentile
86.2%
Current Percentile
43.5%
Peak Rank
#123
Current Rank
#515
Male statistics

How to Pronounce Peyton

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

Our model is 100.0% confident that Peyton is pronounced as PAY-tuhn.

2
100.0%

Possible Additional Pronunciations

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

PAY-teen (2 syllables)
8 names 7.4k births
P EY1 T IY0 N

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 P EY1 T AH0 N) 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.