Ramata

Popularity Trends

The name Ramata is the #7,571 most popular name of all time in the U.S. on a gender-neutral basis, with a total of 168 recorded births since 1993. This represents the 2.1% percentile of name popularity (more popular than 2.1% of all names). For girls, it ranks #5,548 (2.9% percentile) for all time with 168 births since 1993.

Ramata first appeared in U.S. birth records in 1993 (first recorded for girls in 1993). Birth data for Ramata is available in 22 out of the 31 years between 1993 and 2023. The Social Security Administration only reports birth data for years in which the name was given to at least five children of the same gender.

For girls, Ramata reached its peak popularity in 2010, achieving the 0.8% percentile (ranked #936) with 7 births per million. The name was most common in 2010, with 7 births per million (ranked 0.8% percentile). Since reaching a high point in 2017, the popularity of this name for girls has been declining. Currently, Ramata ranks #946 for girls (0.1% percentile) with 3 births per million, which is 51.7% of its peak share of births.

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

1993 2023 19932023

Key Statistics

Total Births

168

Peak Births

Peak Year

2010

First Recorded

1993

Peak Percentile

0.8%

Current Percentile

0.1%

Peak Rank

#936

Current Rank

#946

Female statistics

Names with Similar Spellings

These similar-looking names have spellings that are closest to the spelling of "Ramata", in the sense that there are the fewest number of letter differences between the two spellings. These names exclude other spelling variations of this name. View all variations of Ramata.

Names with Correlated Trends

These 12 names have popularity trends that correlate most strongly with the name Ramata's popularity from 1990 to 2023 on a gender-neutral basis. Names may rise and fall in popularity for a variety of reasons, but correlations often reflect either changes in naming fashion or demographic shifts.

The correlation calculations in the table below ignore absolute popularity to show you names that move in similar directions as the name Ramata at the same time. They also correct for changes in the overall birth rate over time. The 0-100% trend values are calculated by dividing each name's gender-neutral births per million by the peak births per million for that name.

The 12 names most strongly correlated to Ramata range from Mariajose at 90.6% correlation to Layna at 88.9% correlation, with an average correlation level of 89.5%. The most popular of these 12 most correlated names is Layna with 3.0K births (100% girls) and the least popular is Zairah with 263 births (100% girls).

Ramata's share of births peaked at 6.6 births per million for girls in 2010. It reached its lowest point of 2.5 births per million (38% of peak) in 1993. In 2023, the most recent period with data, the name Ramata had 3.4 births per million, 52% of its peak popularity.

This chart shows how each name's popularity has changed over time relative to its peak (100%).

Mariajose

2,403

90.64% (very strong)

Hailyn

521

90.35% (very strong)

Zairah

263

89.95% (very strong)

Rajveer

471

89.83% (very strong)

Trayson

468

89.53% (very strong)

Yariel

1,884

89.38% (very strong)

Nataliah

406

89.27% (very strong)

Emiya

370

89.24% (very strong)

Rylon

335

89.22% (very strong)

Iann

555

89.18% (very strong)

Chayce

2,382

88.97% (very strong)

Layna

3,021

88.94% (very strong)

About this table: Correlation values are shown as percentages from 0% to 100%, with each value accompanied by its strength (very weak to very strong). Higher percentages and stronger correlations indicate names that rise and fall together more closely in popularity. The strength labels are color-coded from gray (very weak) to green (very strong). The Trend column visualizes how each name's popularity has changed over time relative to its peak. Absolute correlation values are shown for simplicity (all correlations here are positive). The Total Births column is color-coded by gender distribution - blue shades for predominantly male names and red shades for predominantly female names, with purple hues indicating a more balanced gender distribution.

How to Pronounce Ramata

Our model has identified 3 different pronunciations for the name Ramata. Click the play button under each pronunciation to hear it spoken aloud.

Our model is 40.6% confident that Ramata is pronounced as rah-MAH-tuh, which has 3 syllables. The next most likely pronunciation is ruh-MAH-tuh, at 40.6% confidence, with 3 syllables.

rah-MAH-tuh

40.6%

ruh-MAH-tuh

40.6%

ruh-MUH-tuh

18.8%

rah-MAH-tuh (3 syllables)

40.6% confidence

R AA0 M AA1 T AH0

ruh-MAH-tuh (3 syllables)

40.6% confidence

R AH0 M AA1 T AH0

ruh-MUH-tuh (3 syllables)

18.8% confidence

R AH0 M AH1 T AH0

Possible Additional Pronunciations

If none of the pronunciations above sound right to you, could you please check whether any of these related pronunciations should be applied to the name Ramata? These are pronunciations that other similar names use, but which are not currently associated with Ramata. If you think any of these are valid pronunciations for Ramata, please vote using the thumbs up button.

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 R AA0 M AA1 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.

Made with ❤️ by Aaron J Becker

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