Where does the name data come from?

From publicly available birth-record and census datasets. The data covers names registered across multiple countries and is aggregated to show global frequency ranks. Coverage depth varies by country · large nations with good public records (US, UK, Sweden, Germany, India) are most comprehensive.

Does it work for surnames too?

Yes. Toggle between first names and family names to compare rarity across both categories. The distributions are very different · surnames have a long tail of single-family names while first names cluster around a few dozen popular choices in each language. The toggle exposes both sides of the same nominal record.

How is the rarity rating calculated?

Names are ranked by estimated global frequency. "Very common" covers the top ~1% of names by count. "Extremely rare" is below 1-in-100,000 of the relevant population. Several intermediate bands cover the long middle · common, uncommon, rare, very rare.

Why does my name look more / less common than I expected?

Two common reasons: the lookup is global, so a name common in your region might be rare globally (e.g. many Scandinavian names) or vice versa. And spellings matter · "Catherine" / "Katherine" / "Kathryn" are tracked separately, so a popular name with many spelling variants can look rarer than its phonetic version actually is. Try the regional view and alternate spellings if the global rating surprises you.

Does it work offline?

Yes. PlayMemorize is a Progressive Web App. The name dataset is bundled locally so lookups work without an internet connection.

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स्रोत: US SSA top 1000 (2024)

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