Our Data

An open evaluation of name-to-gender inference

We evaluate Genderize against public datasets in which each person's gender is already recorded, reporting accuracy and coverage for every set. Each individual prediction — correct, incorrect, or no prediction — is listed below, so the aggregate figures can be checked and reproduced.

Results

Per-dataset accuracy, and every prediction behind it

Every prediction sits next to the person's real gender, so you can check the numbers yourself.

Choose a dataset 2

Public datasets with a recorded gender for every person, scored with the person's country known.

More datasets added over time.

Showing 1–25 of 88,153

Name	Country	True gender	Predicted	Probability	Result
Gabrielle Marie "Gabby" Adcock (White-)	United Kingdom	female	female	99.4%	Correct
Th Anh	Vietnam	female	male	73.8%	Incorrect
Th Ngn Thng	Vietnam	female	male	69.3%	Incorrect
Tin Tun	Vietnam	male	male	99.3%	Correct
A Dijiang	China	male	male	75.0%	Correct
A Lamusi	China	male	female	75.0%	Incorrect
A. Aanantha Sambu Mayavo	Malaysia	male	male	96.2%	Correct
A. J. Tyronne Benildus "Benny" Fernando	Sri Lanka	male	male	100.0%	Correct
A. Joshua "Josh" West	United Kingdom	male	male	99.9%	Correct
Aa Bela Joaquim	Angola	female	female	96.8%	Correct
Aadam Ismaeel Khamis	Brunei	male	male	93.7%	Correct
Aadjijatmiko Finarsih H.	Indonesia	female	female	75.0%	Correct
Aafke Hament	Netherlands	female	female	99.3%	Correct
Aagje "Ada" Kok (-van der Linden)	Netherlands	female	female	98.6%	Correct
Aagje Vanwalleghem	Belgium	female	female	100.0%	Correct
Aaltje Grietje "Alie" Boorsma	Netherlands	female	female	98.2%	Correct
Aarik Wilson	United States	male	male	99.9%	Correct
Aarn Galindo Rubio	Mexico	male	male	99.9%	Correct
Aarn Sarmiento Padilla	Spain	male	male	99.6%	Correct
Aarne Ulf Kristian Lindroos	Finland	male	male	99.8%	Correct
Aaron Arthur Cook	United Kingdom	male	male	99.8%	Correct
Aaron Benjamin Herman	United States	male	male	99.9%	Correct
Aaron Blunck	United States	male	male	99.8%	Correct
Aaron Brown	Canada	male	male	99.8%	Correct
Aaron Cleare	Bahamas	male	male	100.0%	Correct

Method

How we measured this

Population. We score the "alive-today" set: people with a known birth year, at most 80 years old.

Accuracy is the share of returned predictions that matched the known gender. Coverage is the share of people we returned any prediction for — we abstain when there's too little signal, and those show as "no prediction".

Country context. Every prediction here is made with the person's country known — the mode most API users run, and the most accurate one.

Rounding. Figures are the exact measured value to two decimals — we never round accuracy up.