Thorn

boys:

297 births since 1958

#4289 (6th percentile)

overall:

297 births since 1958

#7442 (4th percentile)

Popularity Trends

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

1958 2023 19582023

Key Statistics

Total Births
297
Peak Births
16
Peak Year
1988
First Recorded
1958
Peak Percentile
1.5%
Current Percentile
0.3%
Peak Rank
#658
Current Rank
#908
Male statistics

How to Pronounce Thorn

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

Our model is 97.5% confident that Thorn is pronounced as thorn. The next most likely pronunciation is thorn, at 2.5% confidence.

1
97.5%
1
2.5%
thorn (1 syllable)
Verified
97.5% confidence
TH AO1 R N
thorn (1 syllable)
2.5% confidence
TH AO0 R N

Possible Additional Pronunciations

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

THAW-rihn (2 syllables)
4 names 2.1k births
TH AO1 R IH0 N
THUH-ruhn (2 syllables)
4 names 749 births
TH AH1 R AH0 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 TH AO1 R 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.