101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1965 - 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: 126)
(3,437)
0.27 3,437
102 📉
(Org: 100)
(3,419)
- 3,419
103 📈
(Org: 110)
(3,295)
0.11 3,295
104 📉
(Org: 103)
(3,239)
0 3,239
105 📉
(Org: 104)
(3,234)
0.01 3,234
106 📈
(Org: 139)
(3,103)
0.29 3,103
107 📈
(Org: 132)
(3,086)
0.24 3,086
108 📈
(Org: 113)
(3,038)
0.06 3,038
109 📈
(Org: 124)
(3,020)
0.15 3,020
110 📈
(Org: 111)
(2,990)
0.03 2,990
111 📉
(Org: 109)
(2,969)
- 2,969
112 📈
(Org: 114)
(2,861)
- 2,861
113 📈
(Org: 116)
(2,833)
0.02 2,833
114 📈
(Org: 121)
(2,829)
0.04 2,829
115 ➡️
(Org: 115)
(2,828)
0 2,828
116 📈
(Org: 117)
(2,772)
- 2,772
117 📈
(Org: 119)
(2,718)
- 2,718
118 📈
(Org: 120)
(2,714)
- 2,714
119 📈
(Org: 122)
(2,678)
- 2,678
120 📈
(Org: 174)
(2,642)
0.42 2,642
121 📈
(Org: 125)
(2,568)
0 2,568
122 📈
(Org: 130)
(2,529)
0.05 2,529
123 📈
(Org: 181)
(2,511)
0.44 2,511
123 📈
(Org: 127)
(2,511)
0.01 2,511
125 📈
(Org: 128)
(2,469)
- 2,469
126 📈
(Org: 131)
(2,410)
- 2,410
127 📈
(Org: 133)
(2,392)
0.02 2,392
128 📈
(Org: 136)
(2,385)
0.05 2,385
129 📈
(Org: 137)
(2,314)
0.03 2,314
130 📈
(Org: 134)
(2,302)
- 2,302
131 📈
(Org: 149)
(2,292)
0.1 2,292
132 📈
(Org: 135)
(2,275)
- 2,275
133 📈
(Org: 138)
(2,246)
0.01 2,246
134 📈
(Org: 192)
(2,223)
0.41 2,223
135 📈
(Org: 140)
(2,199)
- 2,199
136 📈
(Org: 143)
(2,193)
0.02 2,193
137 📈
(Org: 142)
(2,160)
0.01 2,160
138 📈
(Org: 141)
(2,147)
- 2,147
139 📈
(Org: 147)
(2,143)
0.02 2,143
140 📈
(Org: 144)
(2,131)
- 2,131
141 📈
(Org: 148)
(2,115)
0.01 2,115
142 📈
(Org: 146)
(2,110)
- 2,110
143 📈
(Org: 153)
(2,087)
0.02 2,087
144 📈
(Org: 152)
(2,069)
0.01 2,069
145 📈
(Org: 151)
(2,060)
- 2,060
146 📈
(Org: 159)
(2,025)
0.07 2,025
147 📈
(Org: 157)
(2,018)
0.05 2,018
148 📈
(Org: 155)
(2,010)
0.01 2,010
149 📈
(Org: 156)
(1,999)
0.03 1,999
150 📈
(Org: 180)
(1,938)
0.27 1,938
151 📈
(Org: 160)
(1,913)
0.03 1,913
152 📈
(Org: 158)
(1,907)
- 1,907
153 📈
(Org: 161)
(1,846)
- 1,846
154 📈
(Org: 164)
(1,839)
0.01 1,839
155 📈
(Org: 162)
(1,825)
- 1,825
156 📈
(Org: 163)
(1,821)
- 1,821
157 📈
(Org: 165)
(1,806)
- 1,806
158 📈
(Org: 169)
(1,802)
0.03 1,802
158 📈
(Org: 166)
(1,802)
- 1,802
160 📈
(Org: 226)
(1,798)
0.43 1,798
161 📈
(Org: 168)
(1,778)
- 1,778
162 📈
(Org: 195)
(1,753)
0.26 1,753
163 📈
(Org: 170)
(1,709)
0.02 1,709
164 📈
(Org: 172)
(1,677)
0.06 1,677
165 📈
(Org: 171)
(1,655)
- 1,655
166 📈
(Org: 173)
(1,543)
0 1,543
167 📈
(Org: 213)
(1,527)
0.25 1,527
168 📈
(Org: 181)
(1,519)
0.07 1,519
169 📈
(Org: 193)
(1,506)
0.13 1,506
170 📈
(Org: 176)
(1,502)
- 1,502
171 📈
(Org: 177)
(1,479)
0.01 1,479
172 📈
(Org: 178)
(1,475)
0.02 1,475
173 📈
(Org: 185)
(1,416)
0.03 1,416
174 📈
(Org: 196)
(1,415)
0.08 1,415
175 📈
(Org: 212)
(1,407)
0.18 1,407
176 📈
(Org: 183)
(1,380)
- 1,380
177 📈
(Org: 184)
(1,373)
- 1,373
178 📈
(Org: 186)
(1,369)
0 1,369
179 📈
(Org: 187)
(1,360)
- 1,360
180 📈
(Org: 188)
(1,358)
- 1,358
181 📈
(Org: 189)
(1,347)
- 1,347
182 📈
(Org: 198)
(1,338)
0.04 1,338
183 📈
(Org: 190)
(1,328)
- 1,328
184 📈
(Org: 191)
(1,321)
- 1,321
185 📈
(Org: 194)
(1,319)
0.01 1,319
186 📈
(Org: 197)
(1,289)
- 1,289
187 📈
(Org: 201)
(1,280)
0.03 1,280
188 📈
(Org: 199)
(1,263)
- 1,263
189 📈
(Org: 200)
(1,245)
- 1,245
190 📈
(Org: 203)
(1,242)
0.01 1,242
191 📈
(Org: 205)
(1,240)
0.01 1,240
192 📈
(Org: 204)
(1,225)
- 1,225
193 📈
(Org: 206)
(1,216)
- 1,216
194 📈
(Org: 207)
(1,197)
- 1,197
195 📈
(Org: 220)
(1,188)
0.09 1,188
196 📈
(Org: 209)
(1,181)
0.01 1,181
197 📈
(Org: 208)
(1,175)
- 1,175
198 📈
(Org: 217)
(1,170)
0.06 1,170
199 📈
(Org: 210)
(1,169)
- 1,169
200 📈
(Org: 211)
(1,159)
- 1,159