Lurdes
The Story of Lurdes
Lurdes first appeared in U.S. Social Security Administration records as a baby girl name in 1953, with 5 babies given the name that year. Its peak popularity came in 1977, when 17 Lurdess were born — ranking #4,068 that year. As of 2026, Lurdes ranks #16,763 for baby girls with 5 births, with steady use. In total, more than 423 Lurdess have been born in the U.S. since records began in 1880, spanning the 1950s through the 2020s.
Popularity Over Time
Popularity by State
Names that sound like Lurdes
Phonetically similar names — useful when Lurdes is the vibe but a different syllable count or letter feel might suit better. Linked entries have a profile on Peek a Name.
- Lids
- Leads
- Lords
- Lads
- Leeds
- Lers
- Lourdes
- Lds
- Leds
- Lors
- Lards
- Lauds
Source: Datamuse . Phonetic similarity ranking, not curated.
Frequently Asked Questions about Lurdes
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About the name Lurdes
Lurdes is a girl baby name tracked by the U.S. Social Security Administration. It first appeared in SSA records in 1953 and has accumulated 423 births in the dataset. Lurdes's peak popularity came in 1977 when it ranked #4,068. Use the chart and map above to compare Lurdes's trajectory across years and U.S. states, or browse the related names section to discover similar choices.
Continue exploring
- Top names of 1977 →
- Names of the 1970s →
- Names starting with "L" →
- 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.