How Common Is a Popular Baby Name?
A rank is an order, not a distance. This report turns twelve representative 2025 ranks into per-birth frequency and “another child with this name” scenarios—without pretending that a national average can forecast one classroom.
Official US SSA data for 2025 births · 12 editorially selected rank points, not generated name pages · source files checked August 21, 2026
Try a transparent peer-group scenario
Choose a representative rank point and a group size. The group includes one known bearer of the name; the result asks whether at least one of the remaining people would share that exact spelling if every peer were sampled independently from the 2025 national distribution.
Rank is not an evenly spaced scale
The jump from #1 to #100 is not “99 equal steps,” and #500 is not half as common as #250. Counts fall steeply near the top and then flatten. These fixed checkpoints make the shape visible without manufacturing a popularity category for every name.
| 2025 list | Name | Rank | Births | Per 10,000 on list | Another in 30 mixed peers |
|---|---|---|---|---|---|
| Girls | Olivia | #1 | 13,544 | 77.0 | 10.4% |
| Girls | Lucy | #25 | 6,176 | 35.1 | 4.9% |
| Girls | Juniper | #100 | 2,618 | 14.9 | 2.1% |
| Girls | June | #150 | 1,978 | 11.3 | 1.6% |
| Girls | Bianca | #500 | 594 | 3.4 | 0.48% |
| Girls | Harmoni | #1,000 | 252 | 1.4 | 0.20% |
| Boys | Liam | #1 | 20,818 | 113.4 | 15.5% |
| Boys | Julian | #25 | 7,603 | 41.4 | 6.0% |
| Boys | Myles | #100 | 3,511 | 19.1 | 2.8% |
| Boys | Carlos | #150 | 2,418 | 13.2 | 1.9% |
| Boys | Royce | #500 | 606 | 3.3 | 0.50% |
| Boys | Langston | #1,000 | 227 | 1.2 | 0.19% |
The twelve names are comparison anchors, not recommendations and not a claim that ranks #1, #25, #100, #150, #500, and #1,000 are ideal thresholds.
Four checks before deciding a name is “too popular”
1. Decide whether spelling or sound is the concern
SSA counts Sophia and Sofia separately. A child may avoid an exact-spelling match but still hear the same name sound. Use the hand-reviewed spelling-variant report for that second question.
2. Replace national certainty with local context
Names cluster by state, language, religion, and social circle. Check the state lookup, then consider the children your family actually knows. Neither source can guarantee a future class list.
3. Separate a snapshot from a forecast
These are 2025 birth records, not a prediction for enrollment years later. A fast-rising name can feel more visible in a younger cohort; use the comparison directory or a name’s history before treating one rank as permanent.
4. Name the repetition you would actually regret
One duplicate in a grade may feel harmless; one in a close cousin group may matter more. The separate guide on popular versus uncommon names turns that preference into a decision rather than a universal cutoff.
Why the downloadable-name total is not the denominator
SSA reports 3,593,747 qualifying US Social Security card holders born in 2025: 1,835,823 boys and 1,757,924 girls. Adding the published rows in yob2025.txt yields 3,315,343 named records, or 92.25% of that annual total.
Method, formula, and limits
- Numerators: exact-spelling counts and ranks from SSA’s complete national
yob2025.txtfile, based on card-application records available in March 2026. - Denominators: SSA’s “Social Security number holders” table for 2025, restricted to US births with known birth year, sex, state, and a given name of at least two characters.
- Formula: after one named child is already present in a group of n, the national-random baseline for at least one additional match is
1 − (1 − p)^(n − 1), where p is the name’s share of the relevant 2025 denominator. - Exact spelling: SSA removes spaces and hyphens before tabulation, ranks boys and girls separately, and does not combine similar spellings. Published files also omit low-frequency rows for privacy.
- Not a forecast: real schools are not random national samples. Geography, age mix, community, siblings, spelling families, and future trend changes can move the observed result in either direction.
- Selection: the twelve rank points were chosen to show the distribution at interpretable intervals. No automated page set or claimed “safe rank” was created.
Primary sources: SSA data qualifications · SSA national downloads and privacy limits · SSA annual card-holder denominators · 9BabyNames methodology. Suggested citation: Tang, M. (2026). How Common Is a Popular Baby Name? What 2025 Ranks Really Mean. 9BabyNames.