101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1960 - 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)
(4,187)
- 4,187
102 📈
(Org: 123)
(4,120)
0.26 4,120
103 📈
(Org: 107)
(3,915)
- 3,915
104 📈
(Org: 108)
(3,824)
- 3,824
105 📈
(Org: 113)
(3,809)
0.05 3,809
106 📈
(Org: 120)
(3,780)
0.16 3,780
107 📈
(Org: 109)
(3,771)
0 3,771
108 📈
(Org: 111)
(3,746)
0.01 3,746
109 📈
(Org: 163)
(3,733)
0.45 3,733
110 📈
(Org: 130)
(3,716)
0.22 3,716
111 📉
(Org: 110)
(3,710)
- 3,710
112 ➡️
(Org: 112)
(3,697)
0 3,697
113 📈
(Org: 118)
(3,645)
0.08 3,645
114 📈
(Org: 115)
(3,643)
0.05 3,643
115 📈
(Org: 151)
(3,562)
0.35 3,562
116 ➡️
(Org: 116)
(3,512)
0.02 3,512
117 ➡️
(Org: 117)
(3,397)
- 3,397
118 📈
(Org: 150)
(3,328)
0.29 3,328
119 ➡️
(Org: 119)
(3,281)
0 3,281
120 📈
(Org: 126)
(3,230)
0.08 3,230
121 ➡️
(Org: 121)
(3,157)
0.02 3,157
122 📈
(Org: 128)
(3,086)
0.05 3,086
123 📉
(Org: 122)
(3,050)
- 3,050
124 📈
(Org: 125)
(3,037)
0.01 3,037
125 📉
(Org: 124)
(3,022)
- 3,022
126 📈
(Org: 129)
(2,968)
0.02 2,968
127 ➡️
(Org: 127)
(2,950)
- 2,950
128 📈
(Org: 190)
(2,792)
0.42 2,792
129 📈
(Org: 137)
(2,767)
0.07 2,767
130 📈
(Org: 204)
(2,730)
0.49 2,730
131 ➡️
(Org: 131)
(2,719)
- 2,719
132 📈
(Org: 161)
(2,701)
0.23 2,701
133 📉
(Org: 132)
(2,699)
- 2,699
133 ➡️
(Org: 133)
(2,699)
0.01 2,699
135 📉
(Org: 134)
(2,669)
0.01 2,669
136 📈
(Org: 199)
(2,668)
0.46 2,668
137 📈
(Org: 139)
(2,632)
0.03 2,632
138 📈
(Org: 153)
(2,535)
0.09 2,535
139 📈
(Org: 140)
(2,479)
0 2,479
140 📈
(Org: 141)
(2,469)
0 2,469
141 📈
(Org: 142)
(2,462)
0.01 2,462
142 📈
(Org: 145)
(2,450)
0.01 2,450
143 ➡️
(Org: 143)
(2,448)
0 2,448
144 📈
(Org: 146)
(2,443)
0.01 2,443
145 📈
(Org: 149)
(2,430)
0.02 2,430
146 📈
(Org: 147)
(2,407)
- 2,407
147 📈
(Org: 236)
(2,399)
0.51 2,399
148 ➡️
(Org: 148)
(2,398)
- 2,398
149 📈
(Org: 156)
(2,369)
0.07 2,369
150 📈
(Org: 152)
(2,337)
0.01 2,337
151 📈
(Org: 155)
(2,313)
0.03 2,313
152 📈
(Org: 154)
(2,264)
0 2,264
153 📈
(Org: 170)
(2,232)
0.15 2,232
154 📈
(Org: 157)
(2,198)
- 2,198
155 📈
(Org: 158)
(2,189)
0.01 2,189
156 📈
(Org: 159)
(2,186)
0.02 2,186
157 📈
(Org: 160)
(2,076)
- 2,076
158 📈
(Org: 164)
(2,068)
0.02 2,068
158 📈
(Org: 169)
(2,068)
0.06 2,068
160 📈
(Org: 162)
(2,055)
- 2,055
161 📈
(Org: 165)
(2,015)
- 2,015
162 📈
(Org: 166)
(1,996)
- 1,996
163 📈
(Org: 167)
(1,992)
- 1,992
164 📈
(Org: 211)
(1,979)
0.33 1,979
165 📈
(Org: 168)
(1,953)
0 1,953
166 📈
(Org: 174)
(1,939)
0.07 1,939
167 📈
(Org: 171)
(1,923)
0.02 1,923
168 📈
(Org: 178)
(1,899)
0.07 1,899
169 📈
(Org: 180)
(1,879)
0.08 1,879
170 📈
(Org: 172)
(1,867)
- 1,867
171 📈
(Org: 173)
(1,830)
- 1,830
172 📈
(Org: 177)
(1,800)
0.01 1,800
173 📈
(Org: 175)
(1,787)
- 1,787
174 📈
(Org: 176)
(1,784)
- 1,784
175 📈
(Org: 251)
(1,767)
0.43 1,767
176 📈
(Org: 185)
(1,759)
0.05 1,759
177 📈
(Org: 184)
(1,733)
0.02 1,733
178 📈
(Org: 192)
(1,732)
0.09 1,732
179 📈
(Org: 181)
(1,730)
0.01 1,730
180 📈
(Org: 182)
(1,707)
- 1,707
181 📈
(Org: 186)
(1,678)
0 1,678
182 📈
(Org: 186)
(1,673)
- 1,673
183 📈
(Org: 208)
(1,658)
0.18 1,658
184 📈
(Org: 191)
(1,656)
0.03 1,656
185 📈
(Org: 189)
(1,647)
- 1,647
186 📈
(Org: 227)
(1,624)
0.25 1,624
187 📈
(Org: 195)
(1,584)
0.03 1,584
188 📈
(Org: 193)
(1,570)
0 1,570
189 📈
(Org: 194)
(1,565)
0.02 1,565
190 📈
(Org: 200)
(1,540)
0.07 1,540
191 📈
(Org: 207)
(1,527)
0.1 1,527
192 📈
(Org: 196)
(1,494)
- 1,494
193 📈
(Org: 197)
(1,470)
- 1,470
194 📈
(Org: 198)
(1,469)
0 1,469
195 📈
(Org: 201)
(1,428)
- 1,428
196 📈
(Org: 205)
(1,408)
0.01 1,408
197 📈
(Org: 203)
(1,401)
- 1,401
198 📈
(Org: 221)
(1,381)
0.1 1,381
199 📈
(Org: 206)
(1,377)
0 1,377
200 📈
(Org: 214)
(1,375)
0.05 1,375