Reading the SSA popularity data

What the U.S. Social Security baby-name lists reveal — and what they don't.

Each year the U.S. Social Security Administration releases a list of baby names from new applications for Social Security cards. It's the closest thing the country has to a national naming census — and it's the data behind every "most popular baby names" headline you'll read.

What the data actually is

The SSA publishes the count of every name given to at least five babies in a calendar year, broken down by the sex marked on the application. It's been collected since 1880, which is why we can confidently say Emma was a top-10 name in the 1880s, faded for most of the 20th century, and roared back in the 2000s.

You can see the most recent year on our 2025 page, and compare it directly with 2024, 2023, or even 2021.

What it tells you well

Trend direction is the SSA list's superpower. A name like Ezra jumping dozens of places in two years is a real signal. Long-stable names like Liam and Olivia at the top reflect genuine national consensus, not a quirk of one hospital.

What it misses

Three big caveats:

Spelling fragmentation. The SSA counts Sofia and Sophia as completely separate names. Combined, they'd outrank either one alone. The same goes for Aiden / Aidan / Ayden and dozens of others.

Strict M/F binning. Every applicant is filed as either male or female, so genuinely neutral names like Avery, Quinn, and River appear on both lists with the totals split. The combined neutral popularity is invisible from either list alone.

No cultural context. The data tells you a name was given, not why. A spike often traces to a TV character, a celebrity baby, or a viral moment — but you have to bring that context yourself.

How to use it well

Don't read a single year. Read three or four — 2022, 2023, 2024, 2025 — and look at the slope. A name that's been rising steadily is different from a name that spiked once and is now falling. Pair the SSA data with category browsing — vintage, celestial, short — to find names that fit a feeling, not just a rank.