101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1958 - 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: 103)
(4,026)
0 4,026
102 📈
(Org: 104)
(3,852)
0.01 3,852
103 📈
(Org: 108)
(3,818)
0.02 3,818
104 📈
(Org: 167)
(3,780)
0.52 3,780
105 📈
(Org: 112)
(3,772)
0.05 3,772
106 📈
(Org: 109)
(3,754)
0.02 3,754
107 ➡️
(Org: 107)
(3,738)
- 3,738
108 📈
(Org: 155)
(3,649)
0.41 3,649
109 📈
(Org: 113)
(3,606)
0.02 3,606
110 📈
(Org: 111)
(3,588)
- 3,588
111 📈
(Org: 142)
(3,519)
0.29 3,519
112 📈
(Org: 115)
(3,516)
- 3,516
113 📈
(Org: 116)
(3,467)
- 3,467
114 📈
(Org: 118)
(3,425)
- 3,425
115 📈
(Org: 134)
(3,363)
0.21 3,363
116 📈
(Org: 124)
(3,335)
0.08 3,335
117 📈
(Org: 119)
(3,301)
- 3,301
118 📈
(Org: 121)
(3,254)
0.02 3,254
119 📈
(Org: 120)
(3,224)
- 3,224
120 📈
(Org: 122)
(3,177)
0.01 3,177
121 📈
(Org: 123)
(3,161)
0.01 3,161
122 📈
(Org: 127)
(3,134)
0.09 3,134
123 📈
(Org: 125)
(3,073)
- 3,073
124 📈
(Org: 126)
(2,958)
- 2,958
125 📈
(Org: 174)
(2,904)
0.41 2,904
126 📈
(Org: 130)
(2,902)
0.03 2,902
127 📈
(Org: 177)
(2,893)
0.42 2,893
128 📈
(Org: 129)
(2,829)
0.01 2,829
129 📉
(Org: 128)
(2,810)
- 2,810
130 📈
(Org: 132)
(2,755)
0.01 2,755
131 📈
(Org: 133)
(2,712)
- 2,712
132 📈
(Org: 135)
(2,655)
0.01 2,655
133 📈
(Org: 136)
(2,612)
- 2,612
134 📈
(Org: 137)
(2,601)
- 2,601
135 📈
(Org: 140)
(2,575)
0.03 2,575
136 📈
(Org: 138)
(2,525)
- 2,525
137 📈
(Org: 139)
(2,518)
- 2,518
138 📈
(Org: 141)
(2,492)
- 2,492
139 📈
(Org: 148)
(2,454)
0.06 2,454
140 📈
(Org: 143)
(2,450)
0.02 2,450
141 📈
(Org: 144)
(2,404)
- 2,404
142 📈
(Org: 153)
(2,402)
0.09 2,402
143 📈
(Org: 223)
(2,392)
0.51 2,392
144 📈
(Org: 214)
(2,351)
0.47 2,351
144 📈
(Org: 147)
(2,351)
0.01 2,351
146 📈
(Org: 150)
(2,308)
0.02 2,308
147 📈
(Org: 148)
(2,299)
- 2,299
148 📈
(Org: 150)
(2,262)
0 2,262
149 📈
(Org: 200)
(2,261)
0.38 2,261
150 📈
(Org: 152)
(2,257)
0.01 2,257
151 📈
(Org: 154)
(2,182)
- 2,182
152 📈
(Org: 156)
(2,104)
- 2,104
153 📈
(Org: 157)
(2,096)
0.01 2,096
154 📈
(Org: 244)
(2,080)
0.51 2,080
155 📈
(Org: 158)
(2,074)
- 2,074
156 📈
(Org: 159)
(2,072)
- 2,072
157 📈
(Org: 161)
(2,045)
0.05 2,045
158 📈
(Org: 175)
(2,028)
0.16 2,028
159 📈
(Org: 166)
(2,016)
0.09 2,016
160 ➡️
(Org: 160)
(1,999)
0.02 1,999
161 📈
(Org: 209)
(1,995)
0.35 1,995
162 📈
(Org: 168)
(1,963)
0.07 1,963
163 📉
(Org: 162)
(1,938)
- 1,938
164 📈
(Org: 216)
(1,933)
0.37 1,933
165 📉
(Org: 163)
(1,932)
- 1,932
165 📉
(Org: 164)
(1,932)
0 1,932
167 📉
(Org: 165)
(1,903)
- 1,903
168 📈
(Org: 203)
(1,873)
0.29 1,873
169 ➡️
(Org: 169)
(1,814)
- 1,814
170 📈
(Org: 173)
(1,777)
0.02 1,777
171 📈
(Org: 172)
(1,773)
0.01 1,773
172 📈
(Org: 176)
(1,715)
0.01 1,715
173 📈
(Org: 178)
(1,659)
- 1,659
174 📈
(Org: 188)
(1,655)
0.09 1,655
175 📈
(Org: 211)
(1,646)
0.23 1,646
176 📈
(Org: 202)
(1,643)
0.17 1,643
177 📈
(Org: 182)
(1,640)
0.03 1,640
178 📈
(Org: 179)
(1,632)
0 1,632
179 📈
(Org: 180)
(1,603)
- 1,603
180 📈
(Org: 181)
(1,598)
- 1,598
181 📈
(Org: 186)
(1,574)
0.03 1,574
182 📈
(Org: 185)
(1,562)
0.02 1,562
183 📈
(Org: 196)
(1,557)
0.08 1,557
184 📉
(Org: 183)
(1,554)
- 1,554
185 📉
(Org: 184)
(1,542)
0 1,542
185 📈
(Org: 193)
(1,542)
0.06 1,542
187 📈
(Org: 197)
(1,532)
0.07 1,532
188 📈
(Org: 199)
(1,523)
0.08 1,523
189 📈
(Org: 262)
(1,516)
0.42 1,516
190 📈
(Org: 191)
(1,490)
0.01 1,490
191 📈
(Org: 192)
(1,471)
0 1,471
192 📈
(Org: 194)
(1,450)
0.01 1,450
193 📈
(Org: 198)
(1,437)
0.01 1,437
194 📈
(Org: 195)
(1,428)
- 1,428
194 📈
(Org: 210)
(1,428)
0.11 1,428
196 📈
(Org: 201)
(1,393)
- 1,393
197 📈
(Org: 226)
(1,352)
0.13 1,352
198 📈
(Org: 208)
(1,350)
0.04 1,350
199 📈
(Org: 212)
(1,339)
0.07 1,339
200 📈
(Org: 204)
(1,326)
- 1,326