Therese

girls:

35.4k births since 1880

#730 (87th percentile)

boys:

5 births since 1931

#4581 (0th percentile)

overall:

35.4k births since 1880

#1329 (83rd percentile)

Popularity Trends

The name Therese is the #1,329 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 35,426 recorded births since 1880. This represents the 82.8% percentile of name popularity (more popular than 82.8% of all names). For girls, it ranks #730 (87.2% percentile) for all time with 35,421 births since 1880. For boys, it ranks #4,581 (0.0% percentile) for all time with 5 births since 1931.

Therese has appeared in U.S. birth records since the beginning of our dataset in 1880 (since 1880 for girls and since 1931 for boys).

The name Therese has been given almost exclusively to girls, with 100.0% of all recorded births being female.

For girls, Therese reached its peak popularity in 1960, achieving the 67.9% percentile (ranked #248) with 576 births per million. The name was most common in 1927, with 680 births per million (ranked 64.8% percentile). Since reaching a low point around 2021, the popularity of this name for girls has been increasing. Currently, Therese ranks #882 for girls (6.9% percentile) with 40 births per million, which is 5.9% of its peak share of births.

For boys, Therese reached its peak popularity in 1931, achieving the 0.0% percentile (ranked #520) with 5 births per million. The name was most common in 1931, with 5 births per million (ranked 0.0% percentile). There have been no recorded male births with this name since 1931.

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

1880 2023 18802023

Key Statistics

Total Births
35,421
Peak Births
1,210
Peak Year
1960
First Recorded
1880
Peak Percentile
67.9%
Current Percentile
6.9%
Peak Rank
#248
Current Rank
#882
Female statistics
Total Births
5
Peak Births
5
Peak Year
1931
First Recorded
1931
Peak Percentile
0.0%
Current Percentile
Peak Rank
#520
Current Rank
Male statistics

How to Pronounce Therese

Our model has identified 8 different pronunciations for the name Therese. Click the play button under each pronunciation to hear it spoken aloud.

Our model is 37.5% confident that Therese is pronounced as ter-EHZ, which has 2 syllables. The next most likely pronunciation is THEH-rees, at 15.0% confidence, with 2 syllables.

ter-EHZ (2 syllables)
37.5% confidence
T ER0 EH1 Z
THEH-rees (2 syllables)
Verified
15.0% confidence
TH EH1 R IY0 S
ther-EEZ (2 syllables)
12.5% confidence
TH ER0 IY1 Z
thuh-REEZ (2 syllables)
12.5% confidence
TH AH0 R IY1 Z
teh-REEZ (2 syllables)
7.5% confidence
T EH0 R IY1 Z
teh-REHS (2 syllables)
5.0% confidence
T EH0 R EH1 S
TEH-REEZ (2 syllables)
5.0% confidence
T EH1 R IY1 Z
ter-EH-reez (3 syllables)
5.0% confidence
T ER0 EH1 R IY0 Z

Possible Additional Pronunciations

If none of the pronunciations above sound right to you, could you please check whether any of these related pronunciations should be applied to the name Therese? These are pronunciations that other similar names use, but which are not currently associated with Therese. If you think any of these are valid pronunciations for Therese, please vote using the thumbs up button.

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 ER0 EH1 Z) 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.

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