Name Predictor — Age, Gender & Origin
Type any first name and instantly predict the likely age, gender, and nationality based on real-world data from millions of records. Works for 100,000+ names worldwide — fun, free, and completely private.
How Name Prediction Works
The Name Predictor uses three specialized free APIs that analyze millions of real-world records to estimate characteristics associated with a given first name. When you type a name, three API calls run simultaneously using JavaScript's Promise.all() for instant parallel results. The age prediction from agify.io analyzes census data, social network profiles, and public datasets to find the most statistically common age for people with that name. The gender prediction from genderize.io maps names to gender using records from over 89 countries. The nationality prediction from nationalize.io calculates which country's population is most likely to include people with that name, returning the top 3 results with probability scores.
Results are cached in your browser's localStorage for 24 hours, so looking up the same name again is instant and uses no additional API calls. The cache uses the name as the key, keeping your queries private and your experience fast.
What Name Data Reveals About Generations
Names carry generational signatures. A name like "Dorothy" or "Harold" was extremely popular in the 1920s–1940s, so the predicted age tends to be higher. Meanwhile, names like "Noah," "Liam," or "Olivia" surged in the 2010s, pulling the predicted age lower. The decade estimate shown under the age result — for example "Born in the 1980s" — gives you a quick cultural snapshot of when a name peaked in popularity. This makes the tool surprisingly useful for trivia, writing character profiles, genealogy research, and even marketing research about how names skew toward certain demographics.
Name data also reveals cultural migration patterns. A name strongly associated with Italy fifty years ago may now appear commonly in Argentina, Brazil, or Australia due to immigration waves. The nationality prediction captures this cross-cultural spread by showing the top 3 countries where the name is most prevalent today.
Understanding Probability Scores
Each prediction comes with a confidence score based on sample size. A gender probability of 95% means that in the dataset, 95 out of 100 people with that name identified as that gender — high confidence. A probability near 50% indicates a genuinely gender-neutral name used equally by all genders. The count field tells you how many data points support the prediction: a name with 500,000 records is far more reliable than one with 200. For nationality, the probabilities across all countries sum to 100%, and the top 3 shown represent the most likely origins. Rare or highly regional names may have lower counts and wider uncertainty ranges.
Fun Uses for the Name Predictor
Beyond curiosity, the Name Predictor has practical creative uses. Writers can use it to verify whether a character name "feels right" for their nationality or era. Parents can check how a baby name is perceived globally before committing. HR professionals and marketers use name origin data for cultural competency and localization work. The compare feature is especially entertaining — pit "Emma vs Sophia" or "James vs Oliver" to see which name skews older, which is more international, and which gender split is more even. Social media posts sharing fun name facts consistently go viral, which is why the one-click copy button makes it easy to share your result.