Kang

girls:

108 births since 1980

#5608 (2nd percentile)

boys:

44 births since 1981

#4542 (1st percentile)

overall:

152 births since 1980

#7587 (2nd percentile)

Popularity Trends

The name Kang is the #7,587 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 152 recorded births since 1980. This represents the 1.9% percentile of name popularity (more popular than 1.9% of all names). For girls, it ranks #5,608 (1.9% percentile) for all time with 108 births since 1980. For boys, it ranks #4,542 (0.9% percentile) for all time with 44 births since 1981.

Kang first appeared in U.S. birth records in 1980 (1980 for girls and 1981 for boys). Birth data for Kang is available in 16 out of the 33 years between 1980 and 2012 (12 years for girls and 8 years for boys). 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 Kang has been given predominantly to girls, with 71.1% of all recorded births being female. In 2012, 0.0% of babies named Kang were girls. Interestingly, until around 1999, the name was more popular for girls (80.0% girls from 1980 to 1998), but since then it has been more commonly used for boys (100.0% boys from 1999 to 2012).

For girls, Kang reached its peak popularity in 1989, achieving the 1.7% percentile (ranked #811) with 8 births per million. The name was most common in 1983, with 10 births per million (ranked 1.7% percentile). There have been no recorded female births with this name since 1995.

For boys, Kang reached its peak popularity in 2000, achieving the 0.2% percentile (ranked #812) with 3 births per million. The name was most common in 2000, with 3 births per million (ranked 0.2% percentile). There have been no recorded male births with this name since 2012.

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

1980 2012 19802012

Key Statistics

Total Births
108
Peak Births
18
Peak Year
1989
First Recorded
1980
Peak Percentile
1.7%
Current Percentile
Peak Rank
#811
Current Rank
Female statistics
Total Births
44
Peak Births
7
Peak Year
2000
First Recorded
1981
Peak Percentile
0.2%
Current Percentile
Peak Rank
#812
Current Rank
Male statistics

How to Pronounce Kang

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

Our model is 66.0% confident that Kang is pronounced as kang, which has 1 syllables. The next most likely pronunciation is kang, at 12.8% confidence, with 1 syllables.

1
66.0%
1
12.8%
1
12.8%
1
8.5%
kang (1 syllable)
66.0% confidence
K AE1 N G
kang (1 syllable)
Verified
12.8% confidence
K AE1 NG
kahng (1 syllable)
Verified
12.8% confidence
K AA1 NG
kahng (1 syllable)
8.5% confidence
K AA1 N G

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 Kang? These are pronunciations that other similar names use, but which are not currently associated with Kang. If you think any of these are valid pronunciations for Kang, 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 K AE1 N G) 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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