Denease
The Story of Denease
Denease first appeared in U.S. Social Security Administration records as a baby girl name in 1951, with 6 babies given the name that year. The name hit its high-water mark in 1957: 9 births, good for #4,201 nationwide. About 64% of every Denease on record arrived during the 1960s, its defining decade. Denease last appeared in the published SSA data in 1967, with 6 recorded births — it has not charted nationally since. All told, over 42 Americans have carried the name since 1880, from the 1950s to the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Denease
Phonetically similar names — useful when Denease 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 Denease
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About the name Denease
Denease is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1951 and has accumulated 42 births in the dataset. Denease's peak popularity came in 1957 when it ranked #4,201. Use the chart and map above to compare Denease's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1957 →
- Names of the 1950s →
- 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.