Takeshi

girls:

5 births since 1976

#5711 (0th percentile)

boys:

703 births since 1912

#3884 (15th percentile)

overall:

708 births since 1912

#7031 (9th percentile)

Popularity Trends

The name Takeshi is the #7,031 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 708 recorded births since 1912. This represents the 9.1% percentile of name popularity (more popular than 9.1% of all names). For boys, it ranks #3,884 (15.3% percentile) for all time with 703 births since 1912. For girls, it ranks #5,711 (0.1% percentile) for all time with 5 births since 1976.

Takeshi first appeared in U.S. birth records in 1912 (1912 for boys and 1976 for girls). Birth data for Takeshi is available in 62 out of the 112 years between 1912 and 2023 (61 years for boys and 1 years for girls). The Social Security Administration only reports birth data for years in which the name was given to at least five children of the same gender.

The name Takeshi has been given almost exclusively to boys, with 99.3% of all recorded births being male.

For boys, Takeshi reached its peak popularity in 1924, achieving the 6.7% percentile (ranked #517) with 36 births per million. The name was most common in 1924, with 36 births per million (ranked 6.7% percentile). Since reaching a high point around 2018, the popularity of this name for boys has been declining. Currently, Takeshi ranks #911 for boys (0.0% percentile) with 3 births per million, which is 7.6% of its peak share of births.

For girls, Takeshi reached its peak popularity in 1976, achieving the 0.0% percentile (ranked #760) with 3 births per million. The name was most common in 1976, with 3 births per million (ranked 0.0% percentile). There have been no recorded female births with this name since 1976.

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

1912 2023 19122023

Key Statistics

Total Births
5
Peak Births
5
Peak Year
1976
First Recorded
1976
Peak Percentile
0.0%
Current Percentile
Peak Rank
#760
Current Rank
Female statistics
Total Births
703
Peak Births
42
Peak Year
1924
First Recorded
1912
Peak Percentile
6.7%
Current Percentile
0.0%
Peak Rank
#517
Current Rank
#911
Male statistics

How to Pronounce Takeshi

Our model has identified 4 different pronunciations for the name Takeshi. Click the play button under each pronunciation to hear it spoken aloud.

Our model is 56.4% confident that Takeshi is pronounced as tuh-KEH-shee, which has 3 syllables. The next most likely pronunciation is tah-KEH-shee, at 35.9% confidence, with 3 syllables.

tuh-KEH-shee (3 syllables)
Verified
56.4% confidence
T AH0 K EH1 SH IY0
tah-KEH-shee (3 syllables)
35.9% confidence
T AA0 K EH1 SH IY0
tuh-KAY-shee (3 syllables)
5.1% confidence
T AH0 K EY1 SH IY0
tuh-KEE-shee (3 syllables)
2.6% confidence
T AH0 K IY1 SH IY0

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 Takeshi? These are pronunciations that other similar names use, but which are not currently associated with Takeshi. If you think any of these are valid pronunciations for Takeshi, 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 AH0 K EH1 SH IY0) 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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