Popularity Analysis Summary
This section appears after you submit the form. It sits above the calculator as requested.
Score Breakdown
| Metric | Value | Converted Score |
|---|
Interpretation
Plotly Graph
Calculator Inputs
Enter current popularity, prior trend, and custom scoring weights.
Example Data Table
These sample rows show how the score can compare classic favorites and fast-rising names.
| Name | Year | Births | Total Births | Current Rank | Previous Rank | Previous Births | Years in Top List | Popularity Score | Band |
|---|---|---|---|---|---|---|---|---|---|
| Olivia | 2025 | 15,230 | 3,680,000 | 1 | 1 | 14,980 | 12 | 88.4 | Exceptional favorite |
| Noah | 2025 | 18,940 | 3,680,000 | 2 | 2 | 19,110 | 11 | 87.1 | Exceptional favorite |
| Maeve | 2025 | 4,620 | 3,680,000 | 59 | 78 | 3,980 | 6 | 71.6 | Fast-rising favorite |
| Atlas | 2025 | 3,890 | 3,680,000 | 82 | 109 | 3,250 | 5 | 69.9 | Fast-rising favorite |
Formula Used
Birth Share % = (Current Year Name Births ÷ Total Births) × 100
Births per 100,000 = (Current Year Name Births ÷ Total Births) × 100,000
Rank Percentile = ((Ranking List Size - Current Rank + 1) ÷ Ranking List Size) × 100
Trend % = ((Previous Rank - Current Rank) ÷ Previous Rank) × 100
Birth Growth % = ((Current Year Name Births - Previous Year Name Births) ÷ Previous Year Name Births) × 100
Share Score = MIN((Births per 100,000 ÷ Share Benchmark per 100,000) × 100, 100)
Trend Score = CLAMP(50 + Trend %, 0, 100)
Growth Score = CLAMP(50 + (Birth Growth % ÷ 2), 0, 100)
Longevity Score = MIN((Years in Top List ÷ 20) × 100, 100)
Popularity Score =
(Share Score × Share Weight +
Rank Percentile × Rank Weight +
Trend Score × Trend Weight +
Growth Score × Growth Weight +
Longevity Score × Longevity Weight)
÷ Total Weight
Projected Next Rank = Current Rank - (Rank Change × 0.6) - (Birth Growth % × 0.05)
This score is an analytical estimate. It helps compare names consistently, but it is not an official government ranking method.
How to Use This Calculator
- Enter the baby name and the year you want to analyze.
- Add the region or source label so your output stays easy to identify later.
- Fill in current births, total births, current rank, and previous rank.
- Enter previous year births and the number of years the name stayed in the top list.
- Set the ranking list size and the benchmark per 100,000 births.
- Adjust the custom weights if you want more emphasis on share, rank, trend, growth, or longevity.
- Press Calculate Popularity to show the result section above the form.
- Review the score cards, interpretation notes, and Plotly graph, then export the result as CSV or PDF if needed.
Frequently Asked Questions
1) What does this calculator measure?
It estimates how strong a baby name looks in a dataset by combining birth share, rank strength, movement over time, growth, and staying power.
2) Is the score an official ranking?
No. The score is a comparison tool. It helps parents evaluate popularity patterns consistently, but official rank lists still come from the original naming dataset.
3) Why use births and rank together?
Birth counts show scale, while rank shows position against other names. Using both prevents a narrow view and gives a more balanced popularity estimate.
4) What does a positive trend mean?
A positive trend means the name improved its position compared with the previous year. A move from rank 80 to rank 50 is a strong upward trend.
5) Why is there a longevity score?
Longevity rewards names that remain relevant over multiple years. It helps distinguish short spikes from names that keep steady attention across time.
6) Can I change the importance of each factor?
Yes. You can edit the custom weights for share, rank, trend, growth, and longevity. The calculator normalizes them automatically before computing the final score.
7) What is the benchmark per 100,000 births?
It is the reference level used to convert raw birth share into a 0 to 100 share score. Raising it makes the share score harder to reach.
8) When should I export the result?
Export after you review the summary and graph. CSV is useful for spreadsheet work, while PDF is helpful for sharing or saving a formatted report.