Matias

boys:

21k births since 1904

#796 (83rd percentile)

overall:

21k births since 1904

#1763 (77th percentile)

Popularity Trends

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

1904 2023 19042023

Key Statistics

Total Births
20,969
Peak Births
2,191
Peak Year
2023
First Recorded
1904
Peak Percentile
82.4%
Current Percentile
82.4%
Peak Rank
#161
Current Rank
#161
Male statistics

How to Pronounce Matias

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

Our model is 85.4% confident that Matias is pronounced as muh-TEE-uhs. The next most likely pronunciation is muh-TAI-uhs, at 14.6% confidence.

muh-TAI-uhs (3 syllables)
14.6% confidence
M AH0 T AY1 AH0 S

Possible Additional Pronunciations

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

muh-TEES (2 syllables)
7 names 4.2k births
M AH0 T IY1 S
muh-TAY-uhs (3 syllables)
5 names 3.8k births
M AH0 T EY1 AH0 S

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 M AH0 T IY1 AH0 S) 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.