Myrtle vs Sophia
How Myrtle and Sophia compare across 146 years of US Social Security Administration baby-name records — popularity history, peak years, current rank, and which name overtook which.
US Popularity History — Side-by-Side
Annual US births named Myrtle (girls) vs Sophia (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 | Myrtle | Sophia |
|---|---|---|
| Peak year (most US births) | 1918 — 4,076 girls | 2012 — 22,335 girls |
| Peak rank | #62 | #1 |
| Most recent rank (1925) | #95 (2,980 births) | #5 (12,561 births) |
| Total US births since 1880 | 100,503 | 388,433 |
| Last 10 years (1916–1925) | 36,792 | 133,616 |
Peak comparison takeaway
At its all-time peak, Sophia reached 22,335 US births in 2012 — 18,259 more than Myrtle'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 | Myrtle births | Sophia births |
|---|---|---|---|
| 1997 | Sophia | 0 | 3,640 |
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.
Myrtle — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | North Carolina | #80 | 895 |
| 2 | Tennessee | #81 | 223 |
| 3 | Kentucky | #83 | 597 |
| 4 | Louisiana | #87 | 190 |
| 5 | West Virginia | #90 | 190 |
Sophia — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | New Mexico | #3 | 769 |
| 2 | New York | #3 | 8,010 |
| 3 | Illinois | #3 | 4,861 |
| 4 | Arizona | #4 | 3,118 |
| 5 | Massachusetts | #4 | 2,790 |
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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 →