101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1955 - 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)
(3,410)
0 3,410
102 📈
(Org: 106)
(3,362)
0.03 3,362
103 📈
(Org: 104)
(3,309)
- 3,309
104 📈
(Org: 116)
(3,277)
0.08 3,277
105 📈
(Org: 107)
(3,255)
0.02 3,255
106 📈
(Org: 109)
(3,210)
0.02 3,210
107 📈
(Org: 108)
(3,185)
0 3,185
108 📈
(Org: 109)
(3,171)
0.01 3,171
109 📈
(Org: 113)
(3,116)
0.02 3,116
110 📈
(Org: 111)
(3,114)
0.01 3,114
111 📈
(Org: 112)
(3,107)
0.01 3,107
112 📈
(Org: 178)
(3,100)
0.5 3,100
113 📈
(Org: 120)
(3,066)
0.03 3,066
114 📈
(Org: 117)
(3,016)
- 3,016
115 📈
(Org: 118)
(2,995)
- 2,995
116 📈
(Org: 119)
(2,980)
- 2,980
117 📈
(Org: 159)
(2,883)
0.38 2,883
117 📈
(Org: 125)
(2,883)
0.08 2,883
119 📈
(Org: 121)
(2,806)
- 2,806
120 📈
(Org: 160)
(2,789)
0.36 2,789
121 📈
(Org: 123)
(2,731)
- 2,731
122 📈
(Org: 124)
(2,672)
0 2,672
123 📈
(Org: 127)
(2,589)
0.01 2,589
124 📈
(Org: 128)
(2,582)
0.01 2,582
125 📈
(Org: 139)
(2,532)
0.13 2,532
126 📈
(Org: 132)
(2,528)
0.03 2,528
127 📈
(Org: 129)
(2,510)
0 2,510
128 📈
(Org: 130)
(2,491)
- 2,491
129 📈
(Org: 137)
(2,488)
0.09 2,488
130 📈
(Org: 198)
(2,466)
0.47 2,466
131 📈
(Org: 133)
(2,420)
0 2,420
132 📈
(Org: 141)
(2,373)
0.08 2,373
133 📈
(Org: 136)
(2,365)
0.03 2,365
134 ➡️
(Org: 134)
(2,359)
- 2,359
135 ➡️
(Org: 135)
(2,345)
- 2,345
136 📈
(Org: 138)
(2,309)
0.03 2,309
137 📈
(Org: 196)
(2,295)
0.42 2,295
138 📈
(Org: 150)
(2,290)
0.16 2,290
139 📈
(Org: 181)
(2,264)
0.34 2,264
140 📈
(Org: 147)
(2,241)
0.09 2,241
141 📉
(Org: 140)
(2,197)
0 2,197
142 ➡️
(Org: 142)
(2,165)
0 2,165
143 📈
(Org: 148)
(2,161)
0.07 2,161
144 📉
(Org: 143)
(2,142)
- 2,142
145 📉
(Org: 144)
(2,075)
- 2,075
146 📈
(Org: 206)
(2,051)
0.4 2,051
147 📈
(Org: 152)
(2,043)
0.07 2,043
148 📉
(Org: 145)
(2,041)
- 2,041
149 📈
(Org: 189)
(2,036)
0.31 2,036
150 📉
(Org: 146)
(2,035)
- 2,035
151 ➡️
(Org: 151)
(1,987)
0.03 1,987
152 📈
(Org: 157)
(1,920)
0.04 1,920
153 ➡️
(Org: 153)
(1,885)
0 1,885
154 📈
(Org: 186)
(1,874)
0.24 1,874
155 📉
(Org: 154)
(1,868)
0 1,868
156 ➡️
(Org: 156)
(1,856)
- 1,856
157 ➡️
(Org: 157)
(1,841)
- 1,841
158 📈
(Org: 163)
(1,833)
0.04 1,833
159 📈
(Org: 162)
(1,827)
0.03 1,827
160 📈
(Org: 161)
(1,771)
- 1,771
161 📈
(Org: 164)
(1,747)
0 1,747
162 📈
(Org: 165)
(1,715)
- 1,715
163 📈
(Org: 166)
(1,702)
- 1,702
164 📈
(Org: 167)
(1,699)
- 1,699
165 📈
(Org: 168)
(1,691)
- 1,691
166 📈
(Org: 169)
(1,673)
- 1,673
167 📈
(Org: 170)
(1,671)
- 1,671
168 📈
(Org: 171)
(1,656)
- 1,656
169 📈
(Org: 172)
(1,633)
0 1,633
170 📈
(Org: 173)
(1,615)
- 1,615
171 📈
(Org: 174)
(1,601)
- 1,601
172 📈
(Org: 175)
(1,587)
0.01 1,587
173 📈
(Org: 184)
(1,581)
0.09 1,581
174 📈
(Org: 176)
(1,579)
0.01 1,579
175 📈
(Org: 190)
(1,575)
0.11 1,575
176 📈
(Org: 199)
(1,555)
0.17 1,555
177 📈
(Org: 245)
(1,544)
0.47 1,544
178 📈
(Org: 179)
(1,533)
0.01 1,533
178 📈
(Org: 180)
(1,533)
0.01 1,533
180 📈
(Org: 182)
(1,495)
0.01 1,495
181 📈
(Org: 191)
(1,463)
0.04 1,463
182 📈
(Org: 183)
(1,451)
- 1,451
183 📈
(Org: 185)
(1,430)
- 1,430
184 📈
(Org: 195)
(1,429)
0.07 1,429
184 📈
(Org: 188)
(1,429)
0.01 1,429
186 📈
(Org: 193)
(1,382)
- 1,382
187 📈
(Org: 194)
(1,360)
- 1,360
188 📈
(Org: 202)
(1,352)
0.06 1,352
189 📈
(Org: 204)
(1,324)
0.06 1,324
190 📈
(Org: 197)
(1,315)
- 1,315
191 📈
(Org: 201)
(1,304)
0.02 1,304
192 📈
(Org: 200)
(1,299)
0.01 1,299
193 📈
(Org: 203)
(1,256)
- 1,256
194 📈
(Org: 299)
(1,236)
0.52 1,236
195 📈
(Org: 205)
(1,228)
- 1,228
196 📈
(Org: 279)
(1,226)
0.47 1,226
197 📈
(Org: 207)
(1,202)
0 1,202
198 📈
(Org: 213)
(1,182)
0.03 1,182
199 📈
(Org: 208)
(1,171)
- 1,171
199 📈
(Org: 212)
(1,171)
0.02 1,171