101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1930 - 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: 98)
(1,948)
- 1,948
102 📉
(Org: 101)
(1,939)
0.06 1,939
103 📉
(Org: 99)
(1,891)
0 1,891
104 📉
(Org: 100)
(1,844)
- 1,844
105 📉
(Org: 103)
(1,791)
- 1,791
106 ➡️
(Org: 106)
(1,779)
0.03 1,779
107 📉
(Org: 105)
(1,768)
- 1,768
108 ➡️
(Org: 108)
(1,737)
0.01 1,737
109 ➡️
(Org: 109)
(1,713)
- 1,713
110 📈
(Org: 115)
(1,696)
0.06 1,696
111 📈
(Org: 122)
(1,676)
0.12 1,676
112 📉
(Org: 110)
(1,668)
- 1,668
113 📉
(Org: 111)
(1,623)
0 1,623
114 📉
(Org: 111)
(1,618)
- 1,618
115 📉
(Org: 113)
(1,600)
- 1,600
116 📈
(Org: 138)
(1,568)
0.2 1,568
117 📈
(Org: 118)
(1,541)
0.01 1,541
118 📉
(Org: 117)
(1,537)
- 1,537
119 ➡️
(Org: 119)
(1,526)
- 1,526
120 ➡️
(Org: 120)
(1,520)
- 1,520
120 ➡️
(Org: 120)
(1,520)
- 1,520
122 📈
(Org: 134)
(1,479)
0.1 1,479
123 📈
(Org: 124)
(1,467)
- 1,467
124 📈
(Org: 125)
(1,464)
- 1,464
125 📈
(Org: 162)
(1,449)
0.37 1,449
126 📈
(Org: 129)
(1,418)
0.04 1,418
127 📉
(Org: 126)
(1,402)
0.01 1,402
127 ➡️
(Org: 127)
(1,402)
0.01 1,402
129 📉
(Org: 128)
(1,371)
- 1,371
130 ➡️
(Org: 130)
(1,367)
0.01 1,367
131 📈
(Org: 141)
(1,360)
0.11 1,360
132 📉
(Org: 131)
(1,348)
0 1,348
133 📈
(Org: 135)
(1,346)
0.02 1,346
134 📉
(Org: 132)
(1,336)
- 1,336
135 📈
(Org: 147)
(1,320)
0.14 1,320
136 📈
(Org: 185)
(1,313)
0.43 1,313
137 📉
(Org: 136)
(1,301)
- 1,301
138 📈
(Org: 140)
(1,286)
0.05 1,286
139 ➡️
(Org: 139)
(1,283)
0.04 1,283
140 📉
(Org: 137)
(1,277)
- 1,277
141 📈
(Org: 145)
(1,261)
0.07 1,261
142 📈
(Org: 175)
(1,245)
0.34 1,245
143 📈
(Org: 211)
(1,242)
0.5 1,242
144 📉
(Org: 142)
(1,235)
0.04 1,235
145 📈
(Org: 181)
(1,184)
0.36 1,184
146 📉
(Org: 143)
(1,181)
- 1,181
147 📉
(Org: 146)
(1,178)
0.01 1,178
148 📈
(Org: 177)
(1,168)
0.31 1,168
149 📈
(Org: 150)
(1,158)
0.07 1,158
150 📉
(Org: 149)
(1,153)
0.07 1,153
151 📈
(Org: 173)
(1,123)
0.26 1,123
152 📉
(Org: 148)
(1,109)
- 1,109
153 📉
(Org: 151)
(1,013)
- 1,013
154 📈
(Org: 157)
(996)
0.02 996
155 📉
(Org: 154)
(987)
- 987
156 📉
(Org: 155)
(985)
- 985
156 📈
(Org: 171)
(985)
0.15 985
158 📉
(Org: 156)
(983)
- 983
159 📉
(Org: 158)
(973)
- 973
160 📉
(Org: 159)
(965)
- 965
161 📉
(Org: 160)
(954)
0.01 954
162 📉
(Org: 161)
(940)
- 940
163 ➡️
(Org: 163)
(937)
0.03 937
164 📈
(Org: 193)
(911)
0.21 911
164 📈
(Org: 172)
(911)
0.09 911
166 📉
(Org: 164)
(907)
- 907
167 📉
(Org: 166)
(901)
0.01 901
168 📉
(Org: 165)
(899)
- 899
169 📉
(Org: 167)
(882)
- 882
170 📉
(Org: 168)
(872)
- 872
171 📉
(Org: 169)
(862)
- 862
172 📈
(Org: 254)
(856)
0.43 856
172 📈
(Org: 176)
(856)
0.05 856
174 📉
(Org: 170)
(850)
- 850
175 📈
(Org: 243)
(847)
0.39 847
176 📉
(Org: 174)
(827)
- 827
177 📈
(Org: 196)
(825)
0.14 825
178 📈
(Org: 188)
(823)
0.1 823
179 📉
(Org: 178)
(802)
- 802
180 📈
(Org: 277)
(800)
0.47 800
181 ➡️
(Org: 181)
(777)
0.03 777
181 📈
(Org: 204)
(777)
0.15 777
183 📉
(Org: 179)
(768)
- 768
184 📉
(Org: 180)
(760)
- 760
185 📉
(Org: 183)
(756)
- 756
185 📈
(Org: 187)
(756)
0.01 756
187 📉
(Org: 184)
(755)
- 755
188 📉
(Org: 186)
(753)
- 753
189 📈
(Org: 192)
(745)
0.03 745
190 📈
(Org: 241)
(738)
0.28 738
191 📉
(Org: 189)
(734)
- 734
192 📉
(Org: 190)
(727)
- 727
193 📉
(Org: 191)
(721)
- 721
194 📈
(Org: 198)
(718)
0.02 718
195 📉
(Org: 194)
(713)
- 713
195 📉
(Org: 194)
(713)
- 713
197 📉
(Org: 196)
(711)
- 711
198 📈
(Org: 202)
(702)
0.04 702
198 📈
(Org: 199)
(702)
- 702
200 📈
(Org: 304)
(694)
0.5 694