Markez

boys:

298 births since 1982

#4288 (6th percentile)

overall:

298 births since 1982

#7441 (4th percentile)

Popularity Trends

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

1982 2022 19822022

Key Statistics

Total Births
298
Peak Births
21
Peak Year
2008
First Recorded
1982
Peak Percentile
1.8%
Current Percentile
0.0%
Peak Rank
#691
Current Rank
#924
Male statistics

How to Pronounce Markez

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

Our model is 85.7% confident that Markez is pronounced as MAHR-kehz. The next most likely pronunciation is MAHR-KEHZ, at 14.3% confidence.

2
85.7%
2
14.3%
MAHR-kehz (2 syllables)
85.7% confidence
M AA1 R K EH0 Z
MAHR-KEHZ (2 syllables)
14.3% confidence
M AA1 R K EH1 Z

Possible Additional Pronunciations

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

MAHR-kihs (2 syllables)
9 names 26.9k births
M AA1 R K IH0 S

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 M AA1 R K EH0 Z) 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.