Nieisha
The Story of Nieisha
The earliest SSA record of Nieisha as a baby girl name dates back to 1986, when 6 babies received it. 1990 was its biggest year on record, with 7 newborns named Nieisha — #10,193 in the national rankings. About 54% of every Nieisha on record arrived during the 1990s, its defining decade. Nieisha last appeared in the published SSA data in 1990, with 7 recorded births — it has not charted nationally since. All told, over 13 Americans have carried the name since 1880, from the 1980s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Nieisha
Phonetically similar names — useful when Nieisha 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 Nieisha
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About the name Nieisha
Nieisha is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1986 and has accumulated 13 births in the dataset. Nieisha's peak popularity came in 1990 when it ranked #10,193. Use the chart and map above to compare Nieisha's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1990 →
- Names of the 1990s →
- Names starting with "N" →
- 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.