Niomi
The Story of Niomi
The earliest SSA record of Niomi as a baby girl name dates back to 1963, when 5 babies received it. 2020 was its biggest year on record, with 67 newborns named Niomi — #2,548 in the national rankings. The 2010s were its strongest decade, accounting for roughly 30% of all recorded Niomis. In the latest 2026 data it stands at #3,247 among baby girl names with 49 births, gradually falling (-6%). In total, more than 1K Niomis have been born in the U.S. since records began in 1880, spanning the 1960s through the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Niomi
Phonetically similar names — useful when Niomi 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 Niomi
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About the name Niomi
Niomi is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1963 and has accumulated 1K births in the dataset. Niomi's peak popularity came in 2020 when it ranked #2,548. Use the chart and map above to compare Niomi's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 2020 →
- Names of the 2020s →
- 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.