girls:
82 births since 2000
#5634 (1st percentile)
boys:
190 births since 2001
#4396 (4th percentile)
overall:
272 births since 2000
#7467 (3rd percentile)
The name Sekai is the #7,467 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 272 recorded births since 2000. This represents the 3.5% percentile of name popularity (more popular than 3.5% of all names). For boys, it ranks #4,396 (4.1% percentile) for all time with 190 births since 2001. For girls, it ranks #5,634 (1.4% percentile) for all time with 82 births since 2000.
Sekai first appeared in U.S. birth records in 2000 (2000 for girls and 2001 for boys). Birth data for Sekai is available in 21 out of the 24 years between 2000 and 2023 (17 years for boys and 13 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 Sekai has been given to both genders, with a slight preference for boys (69.9% of all recorded births). In 2023, 87.0% of babies named Sekai were boys. Interestingly, until around 2009, the name was more popular for girls (60.5% girls from 2000 to 2008), but since then it has been more commonly used for boys (83.9% boys from 2009 to 2023).
For boys, Sekai reached its peak popularity in 2023, achieving the 3.8% percentile (ranked #876) with 22 births per million. The name was most common in 2023, with 22 births per million (ranked 3.8% percentile). Since reaching a low point around 2017, the popularity of this name for boys has been increasing. Currently, Sekai is at or near its peak popularity for boys, ranked #876 (3.8% percentile) with 22 births per million.
For girls, Sekai reached its peak popularity in 2006, achieving the 0.5% percentile (ranked #961) with 5 births per million. The name was most common in 2006, with 5 births per million (ranked 0.5% percentile). Since reaching a low point around 2021, the popularity of this name for girls has been increasing. Currently, Sekai ranks #946 for girls (0.1% percentile) with 3 births per million, which is 71.7% of its peak share of births.
This chart shows the total number of births per million babies in each year for the name "Sekai".
These names exclude other spelling variations of this name. View all variations of Sekai.
These similar-looking names have spellings that are closest to the spelling of "Sekai", in the sense that there are the fewest number of letter differences between the two spellings. These names exclude other spelling variations of this name. View all variations of Sekai.
Our model has identified 4 different pronunciations for the name Sekai. Click the play button under each pronunciation to hear it spoken aloud.
Our model is 67.6% confident that Sekai is pronounced as seh-KAI, which has 2 syllables. The next most likely pronunciation is SEH-kai, at 16.2% confidence, with 2 syllables.
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 Sekai? These are pronunciations that other similar names use, but which are not currently associated with Sekai. If you think any of these are valid pronunciations for Sekai, please vote using the thumbs up button.
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 S EH0 K AY1) 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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