Tema

girls:

176 births since 1933

#5540 (3rd percentile)

overall:

176 births since 1933

#7563 (2nd percentile)

Popularity Trends

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

1933 2023 19332023

Key Statistics

Total Births
176
Peak Births
10
Peak Year
2022
First Recorded
1933
Peak Percentile
0.5%
Current Percentile
0.4%
Peak Rank
#572
Current Rank
#943
Female statistics

How to Pronounce Tema

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

Our model is 86.8% confident that Tema is pronounced as TEH-muh. The next most likely pronunciation is TEE-muh, at 13.2% confidence.

2
86.8%
2
13.2%
TEH-muh (2 syllables)
86.8% confidence
T EH1 M AH0
TEE-muh (2 syllables)
13.2% confidence
T IY1 M AH0

Possible Additional Pronunciations

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

TA-muh (2 syllables)
3 names 1.7k births
T AE1 M AH0
TEE-myuh (2 syllables)
4 names 549 births
T IY1 M Y AH0

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 T EH1 M AH0) 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.