Doneisha
The Story of Doneisha
The earliest SSA record of Doneisha as a baby girl name dates back to 1976, when 5 babies received it. 1993 was its biggest year on record, with 29 newborns named Doneisha — #3,681 in the national rankings. About 61% of every Doneisha on record arrived during the 1990s, its defining decade. Doneisha last appeared in the published SSA data in 2003, with 6 recorded births — it has not charted nationally since. All told, over 365 Americans have carried the name since 1880, from the 1970s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Doneisha
Phonetically similar names — useful when Doneisha 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 Doneisha
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About the name Doneisha
Doneisha is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1976 and has accumulated 365 births in the dataset. Doneisha's peak popularity came in 1993 when it ranked #3,681. Use the chart and map above to compare Doneisha's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1993 →
- Names of the 1990s →
- Names starting with "D" →
- 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.