Teresa

girls:

415.4k births since 1880

#84 (99th percentile)

boys:

1.2k births since 1917

#3439 (25th percentile)

overall:

416.6k births since 1880

#168 (98th percentile)

Popularity Trends

The name Teresa is the #168 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 416,588 recorded births since 1880. This represents the 97.8% percentile of name popularity (more popular than 97.8% of all names). For girls, it ranks #84 (98.5% percentile) for all time with 415,423 births since 1880. For boys, it ranks #3,439 (25.0% percentile) for all time with 1,165 births since 1917.

Teresa has appeared in U.S. birth records since the beginning of our dataset in 1880 (since 1880 for girls and since 1917 for boys).

The name Teresa has been given almost exclusively to girls, with 99.7% of all recorded births being female.

For girls, Teresa reached its peak popularity in 1961, achieving the 97.8% percentile (ranked #18) with 9,104 births per million. The name was most common in 1962, with 9,136 births per million (ranked 97.8% percentile). Since reaching a high point in 1964, the popularity of this name for girls has been declining. Currently, Teresa ranks #642 for girls (32.2% percentile) with 183 births per million, which is 2.0% of its peak share of births.

For boys, Teresa reached its peak popularity in 1963, achieving the 7.3% percentile (ranked #600) with 25 births per million. The name was most common in 1963, with 25 births per million (ranked 7.3% percentile). There have been no recorded male births with this name since 1995.

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

1880 2023 18802023

Key Statistics

Total Births
415,423
Peak Births
18,910
Peak Year
1961
First Recorded
1880
Peak Percentile
97.8%
Current Percentile
32.2%
Peak Rank
#18
Current Rank
#642
Female statistics
Total Births
1,165
Peak Births
52
Peak Year
1963
First Recorded
1917
Peak Percentile
7.3%
Current Percentile
Peak Rank
#600
Current Rank
Male statistics

How to Pronounce Teresa

Our model has identified 9 different pronunciations for the name Teresa. Click the play button under each pronunciation to hear it spoken aloud.

Our model is 29.5% confident that Teresa is pronounced as ter-EE-suh, which has 3 syllables. The next most likely pronunciation is ter-EH-suh, at 27.9% confidence, with 3 syllables.

ter-AY-suh (3 syllables)
Verified
11.5% confidence
T ER0 EY1 S AH0
ter-EE-zuh (3 syllables)
11.5% confidence
T ER0 IY1 Z AH0
ter-REE-suh (3 syllables)
6.6% confidence
T ER0 R IY1 S AH0
ter-REH-suh (3 syllables)
3.3% confidence
T ER0 R EH1 S AH0
tuh-REE-zuh (3 syllables)
3.3% confidence
T AH0 R IY1 Z AH0
tuh-REE-suh (3 syllables)
3.3% confidence
T AH0 R IY1 S AH0
ter-REE-zuh (3 syllables)
3.3% confidence
T ER0 R IY1 Z AH0

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 Teresa? These are pronunciations that other similar names use, but which are not currently associated with Teresa. If you think any of these are valid pronunciations for Teresa, 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 IY1 S 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.

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