Kinaya
The Story of Kinaya
Kinaya first appeared in U.S. Social Security Administration records as a baby girl name in 2001, with 9 babies given the name that year. The name hit its high-water mark in 2009: 12 births, good for #9,379 nationwide. About 78% of every Kinaya on record arrived during the 2000s, its defining decade. Kinaya last appeared in the published SSA data in 2023, with 5 recorded births — it has not charted nationally since. All told, over 78 Americans have carried the name since 1880, from the 2000s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Kinaya
Phonetically similar names — useful when Kinaya 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 Kinaya
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About the name Kinaya
Kinaya is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 2001 and has accumulated 78 births in the dataset. Kinaya's peak popularity came in 2009 when it ranked #9,379. Use the chart and map above to compare Kinaya's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 2009 →
- Names of the 2000s →
- Names starting with "K" →
- 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.