101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1950 - 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: 107)
(2,974)
0.09 2,974
102 📉
(Org: 100)
(2,941)
- 2,941
103 📉
(Org: 101)
(2,928)
0 2,928
104 📉
(Org: 103)
(2,848)
0.01 2,848
105 📉
(Org: 102)
(2,835)
- 2,835
106 📉
(Org: 105)
(2,759)
0.01 2,759
107 📈
(Org: 108)
(2,716)
0.01 2,716
108 📉
(Org: 106)
(2,713)
- 2,713
109 📈
(Org: 132)
(2,684)
0.24 2,684
110 📈
(Org: 111)
(2,681)
0.02 2,681
111 📉
(Org: 110)
(2,663)
0.01 2,663
112 📉
(Org: 109)
(2,638)
- 2,638
113 📉
(Org: 112)
(2,621)
- 2,621
114 📉
(Org: 113)
(2,615)
- 2,615
115 ➡️
(Org: 115)
(2,595)
0 2,595
116 📈
(Org: 156)
(2,507)
0.36 2,507
117 ➡️
(Org: 117)
(2,487)
- 2,487
118 ➡️
(Org: 118)
(2,467)
- 2,467
119 ➡️
(Org: 119)
(2,428)
- 2,428
120 📈
(Org: 122)
(2,415)
0.07 2,415
121 📈
(Org: 127)
(2,388)
0.11 2,388
122 📉
(Org: 120)
(2,381)
0.02 2,381
123 📈
(Org: 124)
(2,361)
0.08 2,361
124 📉
(Org: 121)
(2,269)
- 2,269
125 📉
(Org: 123)
(2,243)
0.03 2,243
126 ➡️
(Org: 126)
(2,202)
0.03 2,202
127 📈
(Org: 185)
(2,114)
0.43 2,114
128 📈
(Org: 129)
(2,108)
0.01 2,108
129 📈
(Org: 203)
(2,073)
0.51 2,073
130 📈
(Org: 140)
(2,061)
0.07 2,061
130 📈
(Org: 155)
(2,061)
0.22 2,061
132 📉
(Org: 130)
(2,043)
- 2,043
133 📉
(Org: 131)
(2,041)
- 2,041
134 📉
(Org: 133)
(2,025)
- 2,025
135 📉
(Org: 134)
(2,005)
- 2,005
136 ➡️
(Org: 136)
(1,998)
0.01 1,998
137 📈
(Org: 182)
(1,992)
0.39 1,992
138 📉
(Org: 137)
(1,963)
- 1,963
139 ➡️
(Org: 139)
(1,930)
- 1,930
140 📈
(Org: 143)
(1,898)
0 1,898
141 📈
(Org: 142)
(1,891)
- 1,891
142 📈
(Org: 144)
(1,881)
- 1,881
143 📈
(Org: 149)
(1,860)
0.05 1,860
144 📈
(Org: 151)
(1,858)
0.1 1,858
145 ➡️
(Org: 145)
(1,841)
0.01 1,841
146 📈
(Org: 147)
(1,835)
0.01 1,835
147 📉
(Org: 146)
(1,819)
0 1,819
148 📈
(Org: 157)
(1,798)
0.12 1,798
149 📉
(Org: 148)
(1,760)
- 1,760
150 📈
(Org: 154)
(1,745)
0.07 1,745
151 📉
(Org: 150)
(1,724)
- 1,724
152 📈
(Org: 176)
(1,714)
0.26 1,714
153 ➡️
(Org: 153)
(1,683)
0.03 1,683
154 📈
(Org: 163)
(1,662)
0.07 1,662
155 📉
(Org: 152)
(1,652)
0.01 1,652
156 📈
(Org: 215)
(1,633)
0.46 1,633
157 📈
(Org: 185)
(1,631)
0.27 1,631
158 ➡️
(Org: 158)
(1,581)
- 1,581
159 📈
(Org: 162)
(1,576)
0.02 1,576
160 📉
(Org: 159)
(1,570)
0 1,570
161 📈
(Org: 165)
(1,561)
0.02 1,561
162 📉
(Org: 160)
(1,554)
- 1,554
163 📉
(Org: 161)
(1,553)
- 1,553
164 ➡️
(Org: 164)
(1,545)
0.01 1,545
165 📈
(Org: 168)
(1,517)
0.02 1,517
166 ➡️
(Org: 166)
(1,508)
- 1,508
167 📈
(Org: 228)
(1,431)
0.44 1,431
168 📈
(Org: 178)
(1,415)
0.12 1,415
169 📈
(Org: 174)
(1,387)
0.06 1,387
170 📉
(Org: 169)
(1,378)
- 1,378
171 📉
(Org: 170)
(1,375)
0.01 1,375
172 📈
(Org: 181)
(1,368)
0.11 1,368
173 📉
(Org: 171)
(1,341)
- 1,341
174 📈
(Org: 177)
(1,331)
0.06 1,331
175 📈
(Org: 187)
(1,308)
0.09 1,308
176 📉
(Org: 175)
(1,297)
- 1,297
177 📈
(Org: 214)
(1,282)
0.31 1,282
178 📈
(Org: 200)
(1,280)
0.2 1,280
179 ➡️
(Org: 179)
(1,237)
- 1,237
180 ➡️
(Org: 180)
(1,233)
- 1,233
181 📈
(Org: 184)
(1,207)
0.01 1,207
182 📈
(Org: 188)
(1,189)
- 1,189
183 📈
(Org: 189)
(1,165)
- 1,165
184 📈
(Org: 191)
(1,160)
- 1,160
185 📈
(Org: 195)
(1,154)
0.07 1,154
186 📈
(Org: 194)
(1,141)
0.05 1,141
187 📈
(Org: 196)
(1,110)
0.04 1,110
188 📈
(Org: 192)
(1,103)
- 1,103
189 📈
(Org: 193)
(1,096)
- 1,096
190 📈
(Org: 197)
(1,062)
- 1,062
190 📈
(Org: 197)
(1,062)
- 1,062
192 📈
(Org: 201)
(1,039)
0.01 1,039
193 📈
(Org: 199)
(1,036)
0.01 1,036
194 📈
(Org: 208)
(979)
0.03 979
195 📈
(Org: 204)
(976)
- 976
196 📈
(Org: 233)
(971)
0.19 971
197 📈
(Org: 206)
(959)
- 959
198 📈
(Org: 207)
(956)
- 956
199 📈
(Org: 209)
(937)
- 937
200 📈
(Org: 210)
(926)
- 926