101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1931 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
101 📉
(Org: 99)
(1,834)
- 1,834
101 📉
(Org: 99)
(1,834)
- 1,834
103 📈
(Org: 105)
(1,823)
0.06 1,823
104 📉
(Org: 101)
(1,787)
- 1,787
105 📉
(Org: 102)
(1,776)
0 1,776
106 📉
(Org: 103)
(1,757)
0.01 1,757
107 📉
(Org: 104)
(1,728)
- 1,728
108 📉
(Org: 105)
(1,717)
- 1,717
109 📉
(Org: 108)
(1,698)
0.04 1,698
110 📈
(Org: 113)
(1,649)
0.05 1,649
111 📈
(Org: 129)
(1,626)
0.18 1,626
112 📉
(Org: 109)
(1,623)
- 1,623
113 📉
(Org: 111)
(1,570)
- 1,570
114 📈
(Org: 115)
(1,554)
0.01 1,554
115 📉
(Org: 114)
(1,550)
0 1,550
116 ➡️
(Org: 116)
(1,520)
- 1,520
117 📈
(Org: 134)
(1,476)
0.12 1,476
118 ➡️
(Org: 118)
(1,460)
- 1,460
119 ➡️
(Org: 119)
(1,443)
- 1,443
120 📈
(Org: 169)
(1,423)
0.42 1,423
120 ➡️
(Org: 120)
(1,423)
- 1,423
122 📈
(Org: 136)
(1,412)
0.13 1,412
123 📈
(Org: 127)
(1,404)
0.04 1,404
124 📉
(Org: 122)
(1,395)
0.01 1,395
125 📉
(Org: 121)
(1,384)
- 1,384
126 📉
(Org: 122)
(1,377)
- 1,377
127 📉
(Org: 124)
(1,376)
- 1,376
128 📉
(Org: 125)
(1,363)
- 1,363
129 📉
(Org: 126)
(1,360)
- 1,360
130 📈
(Org: 131)
(1,340)
0.01 1,340
131 📉
(Org: 129)
(1,334)
- 1,334
132 📈
(Org: 133)
(1,320)
0.01 1,320
133 📉
(Org: 132)
(1,312)
- 1,312
134 📈
(Org: 138)
(1,300)
0.08 1,300
135 📈
(Org: 164)
(1,292)
0.32 1,292
136 📈
(Org: 145)
(1,238)
0.11 1,238
137 📉
(Org: 136)
(1,229)
- 1,229
138 📈
(Org: 139)
(1,217)
0.02 1,217
139 📈
(Org: 149)
(1,200)
0.09 1,200
140 📈
(Org: 179)
(1,189)
0.37 1,189
141 📉
(Org: 140)
(1,183)
- 1,183
142 📈
(Org: 167)
(1,179)
0.29 1,179
143 📉
(Org: 142)
(1,159)
0.03 1,159
144 📈
(Org: 146)
(1,155)
0.05 1,155
145 📉
(Org: 143)
(1,147)
0.03 1,147
146 📈
(Org: 148)
(1,144)
0.05 1,144
147 📈
(Org: 218)
(1,135)
0.5 1,135
148 📈
(Org: 199)
(1,120)
0.41 1,120
149 📉
(Org: 144)
(1,109)
0 1,109
150 📉
(Org: 147)
(1,090)
- 1,090
151 📉
(Org: 150)
(1,086)
0.02 1,086
152 📈
(Org: 184)
(1,024)
0.31 1,024
153 📈
(Org: 158)
(1,012)
0.07 1,012
154 📉
(Org: 151)
(1,002)
- 1,002
155 📉
(Org: 153)
(996)
0.01 996
156 📉
(Org: 152)
(992)
- 992
157 📉
(Org: 155)
(991)
0.01 991
158 📉
(Org: 156)
(958)
- 958
158 📈
(Org: 171)
(958)
0.16 958
160 📉
(Org: 157)
(957)
0.01 957
161 📈
(Org: 183)
(942)
0.24 942
162 📉
(Org: 160)
(936)
0.01 936
163 📉
(Org: 159)
(932)
- 932
164 📉
(Org: 160)
(931)
- 931
165 📉
(Org: 163)
(912)
- 912
166 📉
(Org: 164)
(882)
- 882
167 📉
(Org: 166)
(873)
0.01 873
168 📈
(Org: 170)
(850)
0.04 850
169 📉
(Org: 168)
(831)
- 831
170 📈
(Org: 181)
(823)
0.11 823
171 📈
(Org: 245)
(802)
0.42 802
172 ➡️
(Org: 172)
(795)
- 795
173 ➡️
(Org: 173)
(792)
0.01 792
174 ➡️
(Org: 174)
(781)
- 781
175 ➡️
(Org: 175)
(778)
- 778
176 📈
(Org: 198)
(776)
0.15 776
177 📉
(Org: 176)
(770)
0.01 770
178 📈
(Org: 280)
(766)
0.49 766
179 📈
(Org: 247)
(764)
0.39 764
180 📉
(Org: 177)
(758)
- 758
181 📈
(Org: 185)
(745)
0.05 745
182 📉
(Org: 180)
(744)
- 744
183 📉
(Org: 182)
(727)
- 727
184 📈
(Org: 195)
(724)
0.08 724
185 📈
(Org: 189)
(710)
0.02 710
186 ➡️
(Org: 186)
(706)
- 706
186 ➡️
(Org: 186)
(706)
- 706
188 📈
(Org: 208)
(705)
0.14 705
189 📉
(Org: 188)
(702)
0.01 702
190 📈
(Org: 193)
(701)
0.04 701
191 📈
(Org: 296)
(694)
0.5 694
192 📉
(Org: 190)
(693)
- 693
192 📉
(Org: 191)
(693)
0.01 693
194 📈
(Org: 197)
(684)
0.03 684
195 ➡️
(Org: 195)
(683)
0.02 683
196 📉
(Org: 192)
(680)
- 680
197 📉
(Org: 194)
(671)
- 671
197 📈
(Org: 203)
(671)
0.04 671
197 📈
(Org: 243)
(671)
0.3 671
200 ➡️
(Org: 200)
(664)
0.01 664