Baelynn
The Story of Baelynn
Baelynn first appeared in U.S. Social Security Administration records as a baby girl name in 2010, with 5 babies given the name that year. The name hit its high-water mark in 2013: 17 births, good for #7,030 nationwide. About 54% of every Baelynn on record arrived during the 2010s, its defining decade. As of 2026, Baelynn ranks #8,004 for baby girls with 12 births, rising sharply (+24% over the past five years). All told, over 167 Americans have carried the name since 1880, from the 2010s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Baelynn
Phonetically similar names — useful when Baelynn 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 Baelynn
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About the name Baelynn
Baelynn is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 2010 and has accumulated 167 births in the dataset. Baelynn's peak popularity came in 2013 when it ranked #7,030. Use the chart and map above to compare Baelynn's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 2013 →
- Names of the 2010s →
- Names starting with "B" →
- 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.