baby name data
How SSA Baby Name Data Works: What It Includes and Leaves Out
Read SSA baby name rankings with worked spelling and popularity examples, a reproducible lookup, and clear explanations of missing names.
AI-assisted · Julian Park writing voice
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SSA baby name rankings count first names in qualifying US Social Security card application records. They are useful for checking popularity, but the spelling you search and the file you choose can change the answer.
Start with a question about one name: Do I want to know how often this exact spelling appears, how its use has changed, or how it compares with names in my state? Here is how to choose the right lookup and read the result.
A spelling example you can use
Consider Julie-Anne. SSA removes spaces and hyphens before tabulation, so these forms are grouped:
| Forms supplied on applications | How SSA treats them |
|---|---|
| Julie-Anne, Julie Anne, Julieanne | One entry after removing spaces and hyphens |
| Caitlin and Kaitlyn | Separate spellings with separate counts and ranks |
These are examples from SSA's data qualifications. A popularity lookup therefore cannot tell you how many families preferred the hyphen in Julie-Anne. Keep your intended spelling in your shortlist even when the dataset displays a combined form.
If you are comparing Caitlin with Kaitlyn, look up each separately. Combining their counts would be your own analysis, not an official combined rank. Decide whether you care about the written form or a broader group of similar-sounding names before comparing numbers.
Try a lookup, then write down the result
Open SSA's baby names page. It has two useful starting points:
- For a list from one year, use Popular Names by Birth Year. Select the year and list size. Include the number or percentage when comparing frequency.
- For a name over time, use Popularity of a Name. Enter its exact spelling, choose the years, and select the recorded sex grouping.
- For a local comparison, follow the State link and use the same birth year. Keep the state result separate from the national result.
For a simple check you can reproduce, the national 2025 top ten lists Sophia at number 5 and Sofia at number 9 in the girls' column. Those are separate entries. The difference of four ranking places does not tell you how far apart their counts are. Use the count or percentage to answer that next question. SSA's 2025 table.
A useful note would look like this:
Checked 6 September 2026. SSA national list, 2025 births, girls' grouping. Sophia: rank 5. Sofia: rank 9. These ranks compare exact spellings. I still need the counts before describing the size of the difference.
That last sentence is worth keeping. It prevents a partial lookup from turning into a claim you have not checked.
Why a missing name does not mean nobody used it
There are two different limits to check.
The web list stops at 1,000. SSA offers larger national, state, and territory downloads on its Beyond the Top 1000 page. A name absent from the web list may still be in a download.
Privacy exclusions also apply to downloads. SSA withholds certain tabulations that could reveal fewer than five occurrences in a geographic area. Even a downloaded file is not an unrestricted list of every recorded name.
Suppose your chosen spelling is absent from the top 1,000. Your next step is to check the appropriate download and its readme. If it is still absent, record “not found in the published file”. Do not record zero or call the name unique.
For 2025, SSA reports that its top 1,000 represented 71.51% of names overall in its data. About 28.49% lay outside that group, calculated as 100 minus 71.51. That explains why the first 1,000 are a starting point rather than the whole picture. SSA coverage table.
Check the population behind the number
The national data covers qualifying births in the 50 states and District of Columbia; territories have separate data. A record needs a birth year, recorded sex and state, and a given name at least two characters long. The release checked for this guide uses application records as of March 2026. Historical coverage is less complete because many people born before 1937 never applied for a card. SSA methodology.
Before comparing two results, check that the following match:
| Field | What to keep in your note |
|---|---|
| Time | Birth year and date you checked the source |
| Place | National, a named state, or a territory |
| Name | Exact tabulated spelling |
| Group | The recorded sex grouping selected |
| Measure | Rank, count, or percentage; keep the source's label |
If one result is national and another is for your state, describe the difference as a place comparison. If one uses this year's release and another an older release, check the newer source before drawing a conclusion.
Bring the result back to your shortlist
Ask what would change your decision. Would a top-ten spelling bother you? Would you be comfortable with a less common spelling of a familiar sound? Are you simply checking an impression from your own social circle?
Write the preference beside the evidence. For example: “I like both spellings. I want to compare their counts, then choose the form I actually prefer writing.” There is no need to turn a rank into a pass/fail score.
The separate guide to deciding whether a name feels too popular covers that trade-off. If you need names to investigate first, use the shortlist method, then return here with a few specific questions.
