Ariaunna
The Story of Ariaunna
The earliest SSA record of Ariaunna as a baby girl name dates back to 1997, when 5 babies received it. 2007 was its biggest year on record, with 14 newborns named Ariaunna — #8,518 in the national rankings. About 56% of every Ariaunna on record arrived during the 2000s, its defining decade. Ariaunna last appeared in the published SSA data in 2017, with 6 recorded births — it has not charted nationally since. All told, over 126 Americans have carried the name since 1880, from the 1990s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Ariaunna
Phonetically similar names — useful when Ariaunna is the vibe but a different syllable count or letter feel might suit better. Linked entries have a profile on Peek a Name.
Source: Datamuse . Phonetic similarity ranking, not curated.
Frequently Asked Questions about Ariaunna
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About the name Ariaunna
Ariaunna is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1997 and has accumulated 126 births in the dataset. Ariaunna's peak popularity came in 2007 when it ranked #8,518. Use the chart and map above to compare Ariaunna's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 2007 →
- Names of the 2000s →
- Names starting with "A" →
- Browse all girl names →
- Top names of 2026 →
Data sources
- Birth statistics (counts, ranks, years 1880–2026) — U.S. Social Security Administration . Predictions for years not yet released by SSA are computed by Peek a Name from historical trends; we update with official data as soon as it ships.
- Etymology, cultural origins, and related forms — Behind the Name (used under their public API terms).
- Meaning prose and editorial summary — Wikipedia article extracts, licensed under CC BY-SA 3.0 .
- Predicted nationality distribution — Nationalize.io .
- Phonetically similar names — Datamuse .
Peek a Name aggregates and presents the above data for informational purposes. Statistical predictions and external attributions are clearly labelled where shown; we make no guarantee of accuracy beyond what each source provides.