Shaiann
The Story of Shaiann
The earliest SSA record of Shaiann as a baby girl name dates back to 1993, when 14 babies received it. 1997 was its biggest year on record, with 31 newborns named Shaiann — #3,626 in the national rankings. The 1990s were its strongest decade, accounting for roughly 51% of all recorded Shaianns. Its most recent appearance in the national data came in 2014 (5 births); the name has since faded from the published rankings. In total, more than 331 Shaianns have been born in the U.S. since records began in 1880, spanning the 1990s through the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Shaiann
Phonetically similar names — useful when Shaiann 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 Shaiann
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About the name Shaiann
Shaiann is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1993 and has accumulated 331 births in the dataset. Shaiann's peak popularity came in 1997 when it ranked #3,626. Use the chart and map above to compare Shaiann's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1997 →
- Names of the 1990s →
- Names starting with "S" →
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- 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.