Shariff

boys:

572 births since 1970

#4014 (12th percentile)

overall:

572 births since 1970

#7167 (7th percentile)

Popularity Trends

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

1970 2015 19702015

Key Statistics

Total Births
572
Peak Births
30
Peak Year
1983
First Recorded
1970
Peak Percentile
3.6%
Current Percentile
0.2%
Peak Rank
#643
Current Rank
#903
Male statistics

How to Pronounce Shariff

Our model has identified 3 different pronunciations for the name Shariff. Click the play button next to the name to hear the pronunciation spoken aloud.

Our model is 51.4% confident that Shariff is pronounced as shuh-REEF. The next most likely pronunciation is shuh-RIHF, at 28.6% confidence.

2
51.4%
2
28.6%
2
20.0%
shuh-RIHF (2 syllables)
28.6% confidence
SH AH0 R IH1 F

Possible Additional Pronunciations

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

shah-REEF (2 syllables)
7 names 3k births
SH AA0 R IY1 F
SHEH-reef (2 syllables)
7 names 769 births
SH EH1 R IY0 F

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 SH AH0 R IY1 F) 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.