Marlene vs Isabella
How Marlene and Isabella 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 Marlene (girls) vs Isabella (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 | Marlene | Isabella |
|---|---|---|
| Peak year (most US births) | 1936 — 5,332 girls | 2010 — 22,935 girls |
| Peak rank | #39 | #1 |
| Most recent rank (2012) | #983 (257 births) | #7 (10,666 births) |
| Total US births since 1880 | 52,620 | 396,589 |
| Last 10 years (2003–2012) | 4,616 | 125,637 |
Peak comparison takeaway
At its all-time peak, Isabella reached 22,935 US births in 2010 — 17,603 more than Marlene'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 | Marlene births | Isabella births |
|---|---|---|---|
| 1998 | Isabella | 0 | 3,851 |
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.
Marlene — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | Arizona | #752 | 45 |
| 2 | Wisconsin | #802 | 18 |
| 3 | California | #811 | 248 |
| 4 | Ohio | #814 | 61 |
| 5 | Indiana | #833 | 39 |
Isabella — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | Florida | #2 | 10,088 |
| 2 | Nevada | #3 | 1,227 |
| 3 | Texas | #4 | 15,128 |
| 4 | New Mexico | #4 | 680 |
| 5 | Arizona | #4 | 2,998 |
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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 →