Jorden

girls:

2.3k births since 1980

#3579 (37th percentile)

boys:

7k births since 1903

#1407 (69th percentile)

overall:

9.3k births since 1903

#2792 (64th percentile)

Popularity Trends

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

1903 2023 19032023

Key Statistics

Total Births
2,334
Peak Births
117
Peak Year
1998
First Recorded
1980
Peak Percentile
12.8%
Current Percentile
Peak Rank
#740
Current Rank
Female statistics
Total Births
6,966
Peak Births
348
Peak Year
2011
First Recorded
1903
Peak Percentile
36.7%
Current Percentile
4.8%
Peak Rank
#229
Current Rank
#867
Male statistics

How to Pronounce Jorden

Our model found one way to pronounce the name Jorden. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 100.0% confident that Jorden is pronounced as JOR-duhn.

2
100.0%

Possible Additional Pronunciations

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

JOR-dan (2 syllables)
5 names 1.9k births
JH AO1 R D AE0 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 JH AO1 R D 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.