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Beverly vs Charlotte

How Beverly and Charlotte compare across 146 years of US Social Security Administration baby-name records — popularity history, peak years, current rank, and which name overtook which.

Open Name Tournament

Beverly

Female · English

Meaning: Woman From The Beaver Meadow. Beaver Stream.

Charlotte

Female · French

Meaning: Tiny And Feminine. Also Feminine Of Charles Meaning Manly

US Popularity History — Side-by-Side

Annual US births named Beverly (girls) vs Charlotte (girls), from US Social Security Administration national records.

Source: US Social Security Administration. Names appearing fewer than 5 times per year are suppressed by SSA.

Quick Stats

Metric Beverly Charlotte
Peak year (most US births) 1953 — 11,240 girls 2025 — 13,400 girls
Peak rank #34 #2
Most recent rank (1964) #91 (4,606 births) #2 (13,400 births)
Total US births since 1880 324,014 371,325
Last 10 years (1955–1964) 73,738 130,337

Peak comparison takeaway

At its all-time peak, Charlotte reached 13,400 US births in 2025 — 2,160 more than Beverly's peak count.

Crossover Years

Years where one name first passed the other in annual US births. A name "winning" in a year means it had more births that year, not necessarily a higher rank.

Year New leader Beverly births Charlotte births
1926 Beverly 3,775 3,512
2000 Charlotte 0 1,105

Strongest States — Last 10 Years

States where each name ranked highest, from SSA's state-level dataset. Lower average rank = name appears closer to the top of that state's girls-name list.

Beverly — top 5 states

#StateAvg rankBirths
1 Utah #570 21
2 Wisconsin #642 30
3 Minnesota #690 31
4 Washington #780 25
5 Massachusetts #825 17

Charlotte — top 5 states

#StateAvg rankBirths
1 New Hampshire #1 769
2 Maine #1 692
3 Minnesota #2 2,462
4 Michigan #2 4,018
5 Virginia #2 3,967

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Data & methodology

Source: US Social Security Administration national baby names dataset 1880–2025 (CC0 public domain). Names with fewer than 5 occurrences in a given year are suppressed by SSA. State-level coverage runs 1910–2025. Crossover detection compares annual birth counts (not ranks) for each year both names appear. Methodology: see full notes. More comparisons →