Markita

girls:

2.5k births since 1954

#3471 (39th percentile)

overall:

2.5k births since 1954

#5343 (31st percentile)

Popularity Trends

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

1954 2016 19542016

Key Statistics

Total Births
2,495
Peak Births
160
Peak Year
1985
First Recorded
1954
Peak Percentile
19.4%
Current Percentile
0.1%
Peak Rank
#640
Current Rank
#956
Female statistics

How to Pronounce Markita

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

Our model is 65.8% confident that Markita is pronounced as mahr-KEE-tuh. The next most likely pronunciation is MAHR-kee-tuh, at 34.2% confidence.

Possible Additional Pronunciations

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

mahrk-WEE-tuh (3 syllables)
4 names 11.1k births
M AA0 R K W IY1 T AH0
mahr-KAY-tuh (3 syllables)
2 names 719 births
M AA0 R K EY1 T AH0

Names with this pronunciation:

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 AA0 R K IY1 T AH0) 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.