100% Accurate Gender Data API
Real probabilities from official government records across 21 countries. No predictions. No guesswork. Just facts.
100%
Data Accuracy
820.14M
Official Records
618K
Unique Names
21
Countries Covered
Official Data Sources
| Country | Agency | Records | Years |
|---|---|---|---|
| SSA | 372.01M | 1880-2024 | |
| IBGE | 190.04M | 2022 (Census) | |
| INSEE | 87.90M | 1900-2023 | |
| INE | 44.50M | 1937-2023 | |
| CSO | 32.57M | 1964-2024 | |
| NISRA, NRS, ONS | 20.88M | 1974-2024 | |
| DVV | 11.76M | 2024 (Census) | |
| StatCan | 10.95M | 1991-2024 | |
| Gov.pl | 9.37M | 2000-2023 | |
| CBS | 8.87M | 1948-2023 | |
| NSW BDM, QLD BDM, SA CBS, VIC BDM | 7.92M | 1944-2024 | |
| ISTAT | 5.08M | 1999-2024 | |
| Stats NZ | 4.49M | 1900-2024 | |
| Statistik Austria | 3.18M | 1984 (Census) | |
| Statbel | 2.93M | 1995-2024 | |
| SSB | 2.20M | 1945-2024 | |
| SCB | 1.77M | 1998-2022 | |
| BFS | 1.69M | 2000-2024 | |
| DST | 1.42M | 1985-2024 | |
| PMLP | 405K | 2000-2024 | |
| StatIce | 210K | 2023 (Census) |
Our Methodology
1. 100% Official Data
Every record comes from official birth registries and national census data. We report real probabilities from government sources - not predictions, not guesses, just facts.
2. Living Population Modeling
We apply actuarial survival rates to historical birth data to estimate current living populations. This ensures names like "Dorothy" (popular in 1920) are weighted appropriately for today's population.
3. Country-Specific Probabilities
Names like "Andrea" are predominantly male in Italy but female in the US. We provide country-specific probabilities based on each nation's actual data distribution.
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