Kathren

girls:

947 births since 1915

#4769 (17th percentile)

overall:

947 births since 1915

#6792 (12th percentile)

Popularity Trends

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

1915 2012 19152012

Key Statistics

Total Births
947
Peak Births
26
Peak Year
1956
First Recorded
1915
Peak Percentile
2.8%
Current Percentile
0.1%
Peak Rank
#556
Current Rank
#936
Female statistics

How to Pronounce Kathren

Our model has identified 2 different pronunciations for the name Kathren. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 60.0% confident that Kathren is pronounced as KA-thruhn. The next most likely pronunciation is KA-threhn, at 40.0% confidence.

2
60.0%
2
40.0%
KA-thruhn (2 syllables)
60.0% confidence
K AE1 TH R AH0 N
KA-threhn (2 syllables)
40.0% confidence
K AE1 TH R EH0 N

Possible Additional Pronunciations

These are pronunciations that other similar names use, but which are not currently associated with Kathren. If you think any of these are valid pronunciations for Kathren, please vote using the thumbs up button.

KA-thuh-rihn (3 syllables)
5 names 55.9k births
K AE1 TH AH0 R IH0 N

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 TH R AH0 N) 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.