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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.

Read what people are saying about Baby Name Guesser.

Baby Name Guesser

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Most popular names (both male and female)

Show top 10, top 25, top 50, top 100, top 200, top 1000, top 10000

Rank Name Popularity
(Scale 1-6)
Gender Gender
factor
1Mary5.830F214.894
2Henry5.716M3.042
3Miller5.689M4.092
4Sunshine5.664F51.824
5Paul5.433M10.190
6Moore5.411M6.049
7Alexander5.408M3.856
8Jones5.406F1.857
9Hall5.361M6.965
10Gray5.350M4.785
11Allen5.340M6.848
12George5.340F1.550
13Daniel5.322M6.803
14Lee5.307F1.346
15Jean5.303F1.382
16Brown5.289F1.276
17Michael5.267M7.419
18Smith5.267F1.021
19Jefferson5.247M17.345
20John5.231M1.164
21Green5.227M3.260
22Lawrence5.226M4.076
23Ed5.213M1.848
24Johnson5.204M1.043
25Graham5.200M8.685
26May5.200F2.938
27Jack5.182M9.201
28Morgan5.165M4.601
29Phillips5.164M3.877
30Rose5.163F1.060
31Douglas5.157M8.290
32Thomas5.154M1.683
33James5.154M1.656
34Kim5.148M1.013
35Elizabeth5.140F288.648
36Williams5.136M1.485
37Scott5.126M1.510
38William5.126M1.836
39Hyde5.116M10.352
40Martin5.114M2.032
41Robert5.111M2.116
42Potter5.109F5.597
43Taylor5.106M1.062
44Anne5.094F106.849
45Margaret5.091F89.615
46Charles5.088M2.224
47Anderson5.088M2.133
48Fisher5.080M3.370
49David5.078M3.010
50White5.076M1.839
51Clay5.073M9.506
52Susan5.070F154.067
53Jane5.067F83.533
54Wilson5.066M1.509
55Richard5.063M3.478
56Davis5.053M1.554
57Frank5.049M2.961
58Peterson5.043M4.495
59Cole5.043M4.322
60Kelly5.039F1.457
61Barbara5.033F88.812
62Bean5.026M14.025
63Peter5.024M5.786
64King5.024M1.626
65Henderson5.022F3.613
66Chris5.021M3.142
67Joseph5.020M3.895
68Parker5.019F1.319
69Stanley5.016M9.671
70Albert5.009M9.028
71Mark5.005M6.710
72Ann5.003F117.225
73Linda5.002F136.270
74Christopher5.001M12.869
75Stone4.998M3.502
76Li4.996M1.152
77Al4.986M1.404
78Steve4.986M10.549
79Nevada4.985F760.449
80Howard4.985M3.336
81Dean4.985M2.966
82Rogers4.984M4.767
83Spencer4.981M7.892
84Richardson4.980M5.277
85Stratton4.979M30.272
86Barnes4.977M3.958
87Andrew4.976M8.662
88Wong4.973M3.174
89Russell4.973M1.017
90Helen4.972F231.727
91Clark4.972M1.687
92Thompson4.969M1.980
93Sarah4.969F144.345
94Tom4.968M5.458
95Carr4.966M10.873
96Edward4.965M4.105
97Mike4.962M7.038
98Jim4.961M9.517
99Sam4.961M5.732
100Jan4.961F1.200
101Carl4.960M2.971
102Julie4.959F251.219
103Lewis4.958M1.837
104Bob4.958M5.673
105Betty4.956F53.801
106Harris4.956M1.370
107Black4.955M1.345
108Bill4.952M6.783
109Patrick4.951M7.140
110Brian4.943M10.765
111Palmer4.943M2.804
112Gilbert4.941M3.145
113Roger4.940M5.562
114Don4.936M5.397
115Cheney4.935M1.088
116Samuel4.934M1.128
117Stephen4.934M7.728
118Burns4.932M5.992
119Tony4.929M15.059
120Kennedy4.929M2.650
121Dixon4.928M5.887
122Joe4.925M5.591
123Karen4.923F78.031
124Anthony4.921M9.103
125Gary4.917M13.176
126Bradley4.917M3.360
127Marple4.915F278.524
128Wang4.911M2.353
129Campbell4.910M2.021
130Buchanan4.909M17.680
131Blair4.909M6.575
132Bungle4.908M124.922
133Ross4.907M1.611
134Cooper4.906M1.262
135Curtis4.906M3.629
136Terry4.903M2.139
137Young4.902M1.996
138Nelson4.902M1.597
139Murphy4.900M1.519
140Sharon4.900F2.512
141Bruce4.898M7.311
142A. J.4.898M4.454
143Gordon4.896M2.797
144Anna4.895F90.328
145Julia4.895F127.685
146Simon4.890M7.925
147Alan4.889M11.903
148Patricia4.889F129.782
149Matthew4.888M8.522
150Walker4.885M1.908
151Nancy4.882F53.879
152Donald4.881M7.049
153Will4.881F2.837
154Blue4.880M3.297
155Adams4.879M2.322
156Hamilton4.879F1.751
157Ripley4.871M30.134
158Price4.868M3.876
159Tim4.868M16.415
160Roberts4.866M1.768
161Ian4.865M35.686
162Prentice4.861M1.551
163Steven4.858M10.676
164Ken4.858M13.309
165Eric4.857M13.730
166Ray4.856M3.477
167Mitchell4.856M1.236
168Kevin4.856M14.792
169Mills4.853M2.686
170Baker4.853M2.092
171Barry4.850M6.696
172Stewart4.847M2.038
173Check4.847M20.452
174Italia4.847F65.901
175Carol4.847F70.085
176Maria4.846F61.097
177Dennis4.845M7.010
178Evans4.843M2.011
179Walter4.842M3.105
180Dan4.841M6.301
181Daisy4.841F174.838
182Data4.841F2.065
183Alex4.840M2.396
184Chen4.836M1.665
185Hill4.836M2.100
186Keith4.834M9.968
187Ryan4.830M1.956
188Sue4.828F218.414
189Dj4.827M5.661
190Wright4.826M2.429
191Lisa4.823F31.784
192Philip4.822M8.928
193Murray4.822M2.408
194Arthur4.819M2.957
195Kenneth4.818M8.119
196Pat4.814F1.459
197Laura4.812F136.688
198Olympia4.811M4.901
199Turner4.811M1.130
200Dewey4.809F14.633

Enter a first name:

Try the Funky Name Finder

 
 

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.

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Looking to guess the gender of a Hindu name? Try Sanjay Kattimani's Gender Teller.

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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Baby Name Guesser is the creation of Geoff Peters.