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Baby name popularity ranking markets

Each spring the US Social Security Administration publishes the most popular baby names from the previous year, and the release reliably makes headlines. Event markets now ask which name will rank first, whether a rising name will crack the top ten, or whether a name will gain a certain number of places. The data are official and public, but how they are counted matters. This SoftCta guide explains the list and the patterns that make these questions more predictable than they first look.

What the SSA counts

The rankings come from Social Security card applications for US births. Names given to fewer than five babies of a given sex in a year are excluded from public files for privacy. Lists are separate for boys and girls, and the SSA publishes national rankings plus state and territory rankings. Our census guide covers other official demographic data with different methods.

Spellings are separate

The SSA ranks each spelling as its own name. Combined spelling groups might put a name much higher than its official rank, and some media outlets publish combined rankings. A contract using the SSA list follows its separate-spelling rule unless it states otherwise. Also note that sex is reported as recorded on the application.

Release timing

The SSA typically releases the prior year's list in spring, often around early to mid-May, but the date varies. Contracts should state a deadline and what happens if the release is delayed. Occasionally the SSA updates files later as more applications are processed; our revisions guide explains why first release usually settles.

Momentum and slow change

Top names change slowly. A name that has led for several years tends to stay near the top, and rising names usually climb over multiple years. That makes a base rate approach powerful: look at how often the previous year's leader kept first place, and how far names typically move within a year.

Pop culture spikes

Celebrity baby names, popular shows and viral moments can produce sudden jumps for less common names. Those jumps show up most at lower ranks, where small count changes move a name many places. At the very top, counts are large and changes are gradual. Our regression guide explains why last year's fastest riser may slow down.

Rank versus count

A contract asking about rank depends on every other name; a contract asking about count depends on births and naming choices. Total US births change year to year, so counts can fall while rank holds steady. Read which measure is named, and check whether ties are possible and how they are handled, as discussed in our rounding and threshold guide.

A reading habit

Pull the last five years of the SSA list, note each candidate's rank and count trajectory and check the gap between first and second place. A large gap rarely closes in one year. Then compare that history with the market price.

Primary sources SoftCta readers open

• The Social Security Administration popular names page and downloadable national data.
• SSA state-level name files for regional questions.
• The venue rulebook on spelling, ties and release deadlines.

Reading the quote step by step

• Read the full title and rules, including the named settlement source and the time zone.
• Convert the Yes and No prices to implied probabilities and note the gap between them.
• Subtract fees and spread to see the effective price you would actually face.
• Write your own probability range and the evidence behind it, then compare.
• Check related and near-duplicate markets on other venues for consistency.

Closing SoftCta checklist

• Re-read the venue definition in your own words before reacting to a price.
• Convert prices with fee and spread awareness; verify live cents on the operator.
• Prefer primary settlement sources over secondary headlines and social summaries.
• Treat ChanceWire hubs, movers, and tools as orientation — not order entry.
• Confirm age, location, and product eligibility; SoftCta pages will not suggest location spoofing.
• If clarity is incomplete, watching is a complete SoftCta outcome — no pick-selling urgency required.

SoftCta habits

• Write your own probability range before checking the crowd price.
• Prefer dated primary sources over social summaries.
• Compare related markets when a single book looks extreme.
• Size curiosity with fees and depth in mind; substantial risk of loss.