How it works
How does this work? The program uses Google's database to analyze common patterns involving that first name. It then determines from popular usage on the web whether the name is more commonly for a male or a female.
Baby Name Guesser
Recently Added Male Names
Show top 10, top 25, top 50, top 100, top 200, top 1000, top 10000
| Name | Popularity (Scale 1-6) |
Male factor |
| Chirstian | 1.000 | 2.333 |
| Ste | 2.970 | 1.083 |
| Hedworth | 1.771 | 2.933 |
| Kirste | 1.415 | 1.167 |
| Ardi | 1.944 | 1.095 |
| Mutaz | 1.919 | 12.833 |
| Maddin | 2.352 | 21.500 |
| Madin | 1.699 | 3.545 |
| Priebe | 2.486 | 2.778 |
| Yomtov | 1.724 | 7.833 |
| Worry | 2.952 | 1.415 |
| Kuehnemund | 0.903 | 3.000 |
| Kamei | 2.638 | 3.677 |
| Lesavage | 0.602 | 3.000 |
| Burin | 2.037 | 11.111 |
| Holmquist | 2.842 | 5.814 |
| Zepp | 2.695 | 1.480 |
| Deejay | 3.482 | 14.869 |
| Dejay | 1.544 | 1.917 |
| Botrill | 0.778 | 5.000 |
| Timmie | 2.336 | 1.028 |
| Metcalf | 3.651 | 1.707 |
| Ginat | 1.114 | 1.600 |
| Carrion | 2.713 | 3.345 |
| Sauro | 2.190 | 6.045 |
| Kerson | 1.398 | 3.167 |
| Miha | 2.318 | 7.320 |
| Sepand | 0.477 | 2.000 |
| Horgen | 1.643 | 2.385 |
| Obukohwo | 0.477 | 2.000 |
| Berkery | 1.996 | 1.415 |
| Galuska | 1.663 | 4.111 |
| Shinki | 1.176 | 6.500 |
| Dovrat | 1.833 | 8.714 |
| Yudh | 1.279 | 18.000 |
| Louis-marie | 2.246 | 43.000 |
| Shambra | 1.398 | 7.333 |
| Orvel | 1.949 | 2.296 |
| Ngoni | 1.934 | 20.500 |
| Kenroy | 1.699 | 7.333 |
| Barriere | 2.049 | 1.036 |
| Decastro | 2.396 | 1.349 |
| Neumann | 3.538 | 1.976 |
| Ficca | 2.004 | 10.222 |
| Sicca | 0.845 | 6.000 |
| Antwine | 1.756 | 3.750 |
| Rede | 2.365 | 1.148 |
| Larrry | 1.176 | 6.500 |
| Strehle | 2.009 | 5.800 |
| Mackensie | 1.968 | 1.514 |
| Choa | 1.968 | 1.735 |
| Thornhill | 3.090 | 1.203 |
| Kaarle | 1.839 | 68.000 |
| Ianetta | 0.778 | 2.000 |
| Alagappan | 2.004 | 5.733 |
| Olaniyan | 1.255 | 5.000 |
| Jeremi | 1.643 | 43.000 |
| Ellerbe | 2.476 | 1.373 |
| Taboada | 2.299 | 2.618 |
| Nzima | 0.845 | 6.000 |
| Voitto | 1.556 | 35.000 |
| Shamel | 2.079 | 2.158 |
| Theod | 1.114 | 1.167 |
| Jemme | 0.602 | 3.000 |
| Walford | 2.861 | 2.300 |
| Sambra | 1.929 | 41.500 |
| Coldewey | 1.041 | 4.500 |
| Eilif | 1.875 | 24.000 |
| Alishah | 0.699 | 1.500 |
| Nyles | 1.681 | 3.364 |
| Lorey | 2.190 | 1.768 |
| Willock | 2.243 | 2.182 |
| Cedrick | 2.176 | 2.261 |
| Kinen | 1.041 | 4.500 |
| Deap | 1.886 | 4.923 |
| Soussan | 2.210 | 1.793 |
| Ka Ming | 1.176 | 6.500 |
| Heitsman | 1.301 | 1.857 |
| Haffkine | 1.041 | 4.500 |
| Demario | 1.826 | 1.393 |
| Dreist | 1.342 | 10.000 |
| Krater | 1.763 | 2.867 |
| Ryota | 2.079 | 29.000 |
| Constantyn | 0.845 | 6.000 |
| Saheli | 0.845 | 1.333 |
| Ingeberg | 1.000 | 9.000 |
| Glickson | 1.279 | 1.111 |
| Sheman | 1.204 | 4.333 |
| Meaty | 2.083 | 7.643 |
| Fazakas | 1.820 | 7.250 |
| Juela | 0.778 | 5.000 |
| Willfred | 0.954 | 8.000 |
| Marschall | 2.561 | 3.136 |
| Tzau | 0.477 | 2.000 |
| Alpers | 2.301 | 1.500 |
| Guye | 1.771 | 1.458 |
| Eberhart | 2.979 | 1.615 |
| Kanter | 3.114 | 1.190 |
| Vanmiddlesworth | 1.000 | 4.000 |
| Salvio | 1.114 | 12.000 |
| Fava | 2.673 | 1.617 |
| Edw | 3.054 | 1.128 |
| Korthals | 2.401 | 20.000 |
| Lapinski | 2.444 | 1.397 |
| Farouche | 0.477 | 2.000 |
| Evista | 1.431 | 26.000 |
| Ferdinando | 2.559 | 4.171 |
| Irlando | 0.845 | 1.333 |
| Guion | 2.635 | 2.349 |
| Caddy | 3.146 | 2.376 |
| Wambolt | 1.653 | 4.000 |
| Tjalling | 1.857 | 71.000 |
| Gosden | 2.255 | 1.143 |
| Gaunt | 3.154 | 2.143 |
| Meadmore | 1.580 | 1.714 |
| Theodoric | 1.415 | 5.500 |
| Ato | 2.934 | 4.658 |
| Smeed | 2.021 | 4.000 |
| Vojislav | 2.882 | 126.000 |
| Shehryar | 2.255 | 15.364 |
| Bignose | 2.942 | 66.231 |
| Beatie | 2.453 | 1.491 |
| Devitt | 2.798 | 1.707 |
| Slupek | 0.699 | 1.500 |
| Urabe | 1.633 | 4.375 |
| Mcclelland | 3.705 | 3.019 |
| Newlon | 2.137 | 1.537 |
| Binnall | 1.491 | 5.200 |
| Linville | 2.747 | 1.354 |
| Chapple | 2.918 | 2.446 |
| Shawver | 2.338 | 2.028 |
| Shawber | 0.602 | 3.000 |
| Detre | 1.505 | 4.333 |
| Katura | 1.491 | 1.214 |
| Bluff | 2.955 | 2.316 |
| Huberto | 1.447 | 6.000 |
| Subramani | 2.838 | 7.106 |
| Subbaraman | 1.898 | 18.750 |
| Odei | 1.491 | 6.750 |
| Owolabi | 1.857 | 5.000 |
| Ferraresi | 0.778 | 2.000 |
| Papi | 2.590 | 5.274 |
| Camillus | 2.072 | 3.069 |
| Stangler | 1.544 | 3.375 |
| Geurt | 1.568 | 17.500 |
| Teruhisa | 1.845 | 69.000 |
| Wfa | 2.093 | 19.667 |
| Mecca | 3.068 | 1.653 |
| Tramm | 1.380 | 1.667 |
| Vermilya | 1.908 | 4.400 |
| Lindon | 2.823 | 2.142 |
| Miladin | 2.236 | 56.333 |
| Gerow | 2.398 | 1.874 |
| Tsin | 1.875 | 7.333 |
| Durland | 2.276 | 1.908 |
| Mazyck | 1.968 | 1.214 |
| Damaro | 0.903 | 7.000 |
| Martella | 2.149 | 1.938 |
| Horseman | 2.465 | 2.605 |
| Piergiorgio | 2.301 | 49.000 |
| Checo | 1.398 | 5.250 |
| Mcfee | 2.886 | 2.329 |
| Kember | 2.626 | 1.518 |
| Viper | 3.120 | 2.611 |
| Momen | 1.740 | 6.857 |
| Timmeh | 2.453 | 19.286 |
| Dalip | 2.866 | 21.969 |
| Gerardi | 2.496 | 2.517 |
| Jayasimha | 1.398 | 2.125 |
| Ohad | 2.037 | 35.333 |
| Sigur | 1.886 | 1.333 |
| Danforth | 3.485 | 2.173 |
| Kleine | 2.693 | 1.172 |
| Piersen | 0.954 | 1.250 |
| Foote | 3.539 | 1.162 |
| Damir | 2.867 | 39.944 |
| Fick | 3.009 | 1.129 |
| Yaming | 1.114 | 12.000 |
| Kinoo | 0.477 | 2.000 |
| Radheshyam | 2.124 | 65.500 |
| Amir Ali | 2.146 | 45.667 |
| Ashra | 1.230 | 1.429 |
| Bahne | 1.279 | 5.333 |
| Shamoon | 2.100 | 6.875 |
| Toler | 2.752 | 1.335 |
| Halpin | 2.996 | 1.650 |
| Bulloch | 2.688 | 3.033 |
| Redder | 1.833 | 2.091 |
| Monard | 1.447 | 2.111 |
| Gove | 2.805 | 2.127 |
| Larre | 1.633 | 1.263 |
| Renthal | 0.602 | 3.000 |
| Galbo | 1.415 | 1.600 |
| Petit | 3.408 | 1.049 |
| Terell | 1.716 | 1.600 |
| Melecio | 1.799 | 3.200 |
| Cheatham | 3.037 | 1.373 |
| Blueberry | 3.214 | 1.330 |
| Wonka | 3.383 | 24.167 |
| Bonsai | 2.575 | 3.087 |
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Baby Name Guesser was formerly called Geoff's Gender Guesser. This website still allows you to guess the gender of a name, and discover whether the name is more commonly a male or female name. Try it for foreign or ethnic names and it will tell you the likelihood that a name is a man or woman's name, based on popular usage of that name on the Internet. The Baby Name Guesser can also help you avoid the embarrasing situation where you don't know the gender of a person you are trying to contact.
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About
Baby Name Guesser finds out how first names are commonly used on the Internet. It uses Google to look for common patterns involving each name, and then analyzes the results. It can make baby name suggestions from its database of over 100,000 first names.
Baby Name Suggestions
Our baby name website suggests names that meet your criteria. Whether you're looking for common names, or distinctive names, male or female, we've got it covered. Get a list of names which are similar to any other name. Covers first names, surnames, family names, and even pet names.
View our lists of most popular male names, most popular female names, most masculine names, or most feminine names.
Who should use the Baby Name Guesser? The baby name guesser can be a useful tool in suggesting names for a new baby, or finding out how popular a first name really is.
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