Tiffany vs Harper
How Tiffany and Harper 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 Tiffany (girls) vs Harper (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 | Tiffany | Harper |
|---|---|---|
| Peak year (most US births) | 1988 — 18,363 girls | 2016 — 10,802 girls |
| Peak rank | #13 | #11 |
| Most recent rank (2025) | #880 (304 births) | #16 (6,792 births) |
| Total US births since 1880 | 330,178 | 137,640 |
| Last 10 years (2016–2025) | 3,789 | 89,927 |
Peak comparison takeaway
At its all-time peak, Tiffany reached 18,363 US births in 1988 — 7,561 more than Harper'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 | Tiffany births | Harper births |
|---|---|---|---|
| 2009 | Harper | 1,169 | 1,903 |
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.
Tiffany — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | California | #473 | 770 |
| 2 | Nevada | #501 | 32 |
| 3 | New York | #562 | 324 |
| 4 | Connecticut | #581 | 16 |
| 5 | Maryland | #594 | 78 |
Harper — top 5 states
| # | State | Avg rank | Births |
|---|---|---|---|
| 1 | West Virginia | #3 | 725 |
| 2 | Montana | #4 | 392 |
| 3 | South Dakota | #4 | 409 |
| 4 | Wyoming | #4 | 190 |
| 5 | Maine | #5 | 478 |
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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 →