Haniyyah
The Story of Haniyyah
The earliest SSA record of Haniyyah as a baby girl name dates back to 1977, when 9 babies received it. 2005 was its biggest year on record, with 13 newborns named Haniyyah — #8,330 in the national rankings. About 45% of every Haniyyah on record arrived during the 2000s, its defining decade. Haniyyah last appeared in the published SSA data in 2012, with 6 recorded births — it has not charted nationally since. All told, over 142 Americans have carried the name since 1880, from the 1970s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Haniyyah
Phonetically similar names — useful when Haniyyah 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 Haniyyah
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About the name Haniyyah
Haniyyah is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1977 and has accumulated 142 births in the dataset. Haniyyah's peak popularity came in 2005 when it ranked #8,330. Use the chart and map above to compare Haniyyah's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 2005 →
- Names of the 2000s →
- Names starting with "H" →
- 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.